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https://en.wikipedia.org/wiki/Ang%20Dalawang%20Ikaw | (International title: The Other You / () is a 2021 Philippine television drama series broadcast by GMA Network. Directed by Jorron Monroy, it stars Ken Chan in the title role. It premiered on June 21, 2021 on the network's Afternoon Prime line up. The series concluded on September 10, 2021 with a total of 60 episodes. It was replaced by Stories from the Heart in its timeslot.
The series is streaming online on YouTube and iQIYI.
Cast and characters
Lead cast
Ken Chan as Nelson Sarmiento / Tyler Franco / Dominiano Alberto
Supporting cast
Rita Daniela as Mia Perez-Sarmiento
Anna Vicente as Beatrice Illustre-Franco
Jake Vargas as Lucas Javier
Jhoana Marie Tan as Lani Delgado
Lianne Valentin as Jo Escobar
Jeremy Sabido as King Bautista
Dominic Roco as Greg Perez
Ricardo Cepeda as Ernesto Sarmiento
Sharmaine Arnaiz as Belen
Dindo Arroyo as Chavez
Marco Alcaraz as Rex
Ping Medina as Nicco
Olive Espino as Racal
Guest cast
Adrian Carido as young Nelson
Ervic Vijandre as young Ernesto
Rosemarie Sarita as Leticia "Letty" Sarmiento
Angela Alarcon as Chloe
Production
Principal photography commenced in February 2021 in Tagaytay and Bataan. In March 2021, filming and the series premiere were postponed due to COVID-19 pandemic.
Episodes
Accolades
References
External links
2021 Philippine television series debuts
2021 Philippine television series endings
Filipino-language television shows
GMA Network drama series
Television productions suspended due to the COVID-19 pandemic
Television shows set in the Philippines |
https://en.wikipedia.org/wiki/Alois%20Christian%20Knoll | Alois Christian Knoll (born 19 March 1961 in Stuttgart) is German computer scientist and professor at the TUM School of Computation, Information and Technology (formerly TUM Department of Informatics) at the Technical University of Munich (TUM). He is head of the Chair of Robotics, Artificial Intelligence and Embedded Systems.
Biography
Alois C. Knoll received his diploma in electrical engineering/communications engineering from the University of Stuttgart in 1985. In 1988, he received his doctorate (summa cum laude) from the Technical University of Berlin. From 1985 to 1993 he was a member of “Department 20” (Computer Science) at the TU Berlin and received his habilitation in computer science in 1993.
He was appointed full professor at Bielefeld University in 1993, where he was director of the Computer Engineering Group (chair) until 2001. Between 2001 and 2004, he was a group leader and a member of the steering committee of the Fraunhofer Institute for Autonomous Intelligent Systems FhG-AIS. There, he was also head of the research group for robots and robot kits for educational purposes. It was from this group that the “Roberta” programme was launched in 2002, originally intended to encourage more girls to pursue robotics. In this group, the forerunners of the “Robotino” robot were conceived, which was first built and launched in 2006 and has been continuously developed by Festo-Didactic ever since.
Since 2001, he has been a professor at the Department of Computer Science at the Technical University of Munich, which merged into the TUM School of Computation, Information and Technology (CIT) in October 2022.
In 2009, he co-founded fortiss, the State Research Institute of the Free State of Bavaria for Software-Intensive Systems, and was one of its three scientific directors until 2018. From 2011 to 2021, he was Program Principal Investigator at TUMCREATE in Singapore and head of the Area Interlinking Design Analysis group. Between 2017 and 2021, he was Visiting Professor at the School of Computer Science and Engineering at Nanyang Technological University in Singapore.
Between 2007 and 2009, he was a member of the EU's highest IT advisory body, the ISTAG Information Society Technologies Advisory Group, and was involved in the design of the EU flagship projects within the EU FET – Future and Emerging Technologies programme. He is co-author of the inaugural FET Flagship Report. From 2013 to 2023, he led the Neurorobotics sub-project of the FET Flagship Human Brain Project.
From 2019 to 2020, he was Chief Digital Officer of Siemens Mobility Intelligent Traffic Systems ITS, now Yunex GmbH.
Research
His research area includes cognitive sensor-based robots, multi-sensor data fusion, autonomous systems, embedded systems development: each of these in the application areas of automotive, manufacturing, medicine and intelligent transport systems. In these fields, he has published over 1000 peer-reviewed scientific papers and has served as an edi |
https://en.wikipedia.org/wiki/List%20of%20busiest%20railway%20stations%20in%20Russia | This is a list of the busiest railway stations in Russia sorted by the average number of passengers boarding daily in 2019, statistics and data are collected by Russian Railways. Ridership numbers are for Russian Railways only, other rail transport like subway, and stations of Crimea Railway are not included.
List
Train stations with more than 2.5 million passengers per year are shown.
References
Busiest railway stations in Russia |
https://en.wikipedia.org/wiki/Australian%20Survivor%3A%20Brains%20V%20Brawn | Australian Survivor: Brains V Brawn is the eighth season of Australian Survivor on Network 10. This season features contestants divided into two tribes: "Brains" and "Brawn".
Due to the COVID-19 pandemic, this season was filmed domestically in Cloncurry, Queensland. It premiered on 18 July 2021 and concluded on 12 September 2021 with Hayley Leake named the winner over George Mladenov in a 7–2 vote, winning the grand prize of A$500,000 and the title of Sole Survivor. It is the sixth season to air on Network 10 and is hosted by Jonathan LaPaglia.
Contestants
The 24 contestants are divided into two tribes based on their intellect or strength. Notable contestants on the cast includes author Wai Chim, surfer Felicity "Flick" Palmateer, MMA fighter Chelsea Hackett, retired cyclist Baden Cooke and former AFL footballer Gavin Wanganeen.
Notes
Future appearances
Hayley Leake, George Mladenov, Flick Palmateer, and Simon Mee competed on Australian Survivor: Heroes V Villains, with Leake and Palmateer as heroes and Mladenov and Mee as villains. Cara Atchison also appeared in the finale of Heroes V Villains as a loved one.
Outside of Survivor, Mladenov appeared on Dogs Behaving (Very) Badly and competed on The Amazing Race Australia 7 in 2023.
Season summary
The 24 contestants were divided into two tribes based on their intellect (Brains) or strength (Brawn). On the Brains tribe, George found himself in the minority early and was the primary target of the majority alliance led by Joey. Just before the swap, George was saved when Hayley flipped on Joey. On the Brawn tribe, Shannon and Simon butted heads early and competed for control as the tribe culled its weak challenge performers.
After a tribe swap, George reconnected with Cara and joined Emmett’s Brawn majority to eliminate the Brains players who had previously betrayed them. On the new Brawn tribe, Simon succeeded in voting out Shannon after Hayley caused the Brawn to turn on each other; however, Simon was then blindsided after revealing he had two hidden immunity idols.
At the merge, George and Cara continued working with the Brawn, led by Emmett and Dani. However, George acted as a double agent, feeding information to the Brains minority as the Brawn sought to eliminate them. He orchestrated several key eliminations, with more advantages gifted to him, including Hayley, who later won her way back into the game in a redemption duel. After Emmett and Dani turned on each other, George and Cara rejoined the Brains to eliminate the remaining Brawn.
Hayley won four individual immunity necklaces down the stretch, including at the final three to eliminate Flick, a huge social threat. She and George faced the jury, where George highlighted his dominant strategic play while Hayley emphasised her all-around strategic, physical and social game. The jury agreed that Hayley had the more well-rounded game and voted in her favour 7-2, awarding her the $500,000 and the title of Sole Survivor.
Notes
Episod |
https://en.wikipedia.org/wiki/MacOS%20Monterey | macOS Monterey (version 12) is the eighteenth major release of macOS, Apple's desktop operating system for Macintosh computers. The successor to macOS Big Sur, it was announced at WWDC 2021 on June 7, 2021, and released on October 25, 2021. macOS Monterey was succeeded by macOS Ventura, which was released on October 24, 2022.
The operating system is named after Monterey Bay, continuing the trend of releases named after California locations since 2013's 10.9 Mavericks.
macOS Monterey is the final version of macOS that supports the 2015–2017 MacBook Air, Retina MacBook Pro, 2014 Mac Mini and cylindrical Mac Pro, as its successor, macOS Ventura, drops support for those models.
Changes
Monterey introduced several new features and changes, including the following:
Shortcuts for the Mac
TestFlight for the Mac
Provisions to allow the planned introduction of Universal Control, which allows a single keyboard and mouse to control multiple Macs and iPads. It works on Macs with Apple silicon and some with an Intel processor, including MacBook Pro (2016 and later), MacBook (2016 and later), MacBook Air (2018 and later), iMac (2017 and later), iMac (5K Retina, 27-inch, Late 2015), iMac Pro, Mac Mini (2018 and later), and Mac Pro (2019). It works on these iPads: iPad Pro, iPad Air (3rd generation and later), iPad (6th generation and later), and iPad Mini (5th generation and later).
Support for the Apple Music Voice Plan Subscription.
Portrait Mode and Noise Cancellation features for FaceTime and some apps (in Control Center).
New Toolbar features and designs for Finder and the Preview app.
Have a Live Memoji and Animoji right on the lock screen.
A yellow privacy indicator on the menu bar for indicating if the Mac's microphone or camera is active.
Live Text, which allows a user to copy, paste, translate and look up text from images displayed by Photos, Screenshot, Quick Look, and Safari.
New Passwords Manager for Mac
New on-device machine-learning–activated keyboard dictation using Siri, and also now for almost unlimited duration.
Low Power Mode for Mac that enables longer battery life for lightweight workflows such as reading PDFs, Web browsing, listening to music, etc. This works on MacBook Air (2018 and later) and MacBook Pro (2016 and later).
A redesigned optional compact interface for the Safari browser.
Support for playing AirPlay content streamed from recent iOS and iPadOS devices and Macs, including MacBook Pro (2018 and later), MacBook Air (2018 and later), iMac (2019 and later), iMac Pro (2017), Mac Mini (M1, 2020 and later), Mac Pro (2019), iPhone 6s and later, iPad Pro (2nd generation and later), iPad Air (3rd generation and later), iPad (6th generation and later), and iPad Mini (5th generation and later). Older iPhone, iPad, and Mac models may share content at a lower resolution to supported Mac models when "Allow AirPlay for" is set to "Everyone" or "Anyone on the same network" in Sharing preferences.
Improvements to FaceTime, including th |
https://en.wikipedia.org/wiki/Fillia%20Makedon | Fillia S. Makedon is a Greek-American computer scientist whose research has spanned a broad variety of areas in computer science, including VLSI design, graph algorithms, numerical linear algebra, sensor networks, algorithm visualization, bioinformatics, recommender systems, and human–robot interaction. She is Jenkins-Garrett Professor of Computer Science and Engineering at the University of Texas at Arlington.
Early life and education
Makedon is originally from Samos, and came to the US as a Fulbright Scholar to study biochemistry at Skidmore College, graduating in 1968. After a master's degree in biophysics at Penn State York in 1971, she shifted to graduate study in computer science at Northwestern University, earning a second master's degree in 1979 and completing her Ph.D. in 1982.
Career
She was a postdoctoral researcher with Christos Papadimitriou at the National Technical University of Athens, and joined the faculty at the Illinois Institute of Technology in 1983. She moved to the University of Texas at Dallas in 1985, and in the same year took up an affiliate faculty position with the University of Patras. At UT Dallas, she founded the Computer Learning Research Center (CLEAR) in 1987.
She moved to Dartmouth College in 1991, as a professor of computer science, director of the Dartmouth Experimental Visualization Laboratory (DEVLAB), and director of the Summer Institute for Advanced Graduate Studies (DAGS), at the same time holding an adjunct position at the University of the Aegean. She became a program director in the Office of Cyber-Infrastructure at the National Science Foundation in 2005, and returned to academia with her present position as Jenkins-Garrett Professor at the University of Texas at Arlington in 2006. At UT Arlington, she became the founding director of the Integrative Computational Science Program, director of the Human Centered Computing Laboratory (HERACLEIA), and headed the department of computer science and engineering from 2006 to 2013.
Selected publications
References
Year of birth missing (living people)
Living people
Greek computer scientists
Greek women computer scientists
American computer scientists
American women computer scientists
Skidmore College alumni
Pennsylvania State University faculty
Northwestern University alumni
Illinois Institute of Technology faculty
University of Texas at Arlington faculty
People from Athens
21st-century American women scientists
20th-century American women scientists |
https://en.wikipedia.org/wiki/Ace%20TV | Ace TV (American Classic Entertainment Television) is an American family-oriented television network featuring television programming consisting of drama, sports, movies, entertainment, and other features, much of it repackaged from off-network and first-run syndication. Ace TV provides programming to television stations in the United States, especially low-power television stations. Ace TV can be found on Roku via the Glewed and SimulTV channels.
Programming
Current programming on Ace TV includes:
Acapulco H.E.A.T.
Bonanza
Booker
The Commish
Cracker
Forensic Factor
Hawkeye
Mike Hammer
Mom P.I.
Murdoch Mysteries
Stingray
Tarzan
Tenspeed and Brown Shoe
Wiseguy
Sports
Ace TV carries broadcasts of Total Combat and Extreme Fighting Championship (EFC) mixed martial arts (MMA) each week.
References
External links
On TV Tonight - Ace TV program listings
Television networks in the United States
Television channels and stations established in 2019
2019 establishments in the United States |
https://en.wikipedia.org/wiki/List%20of%20busiest%20railway%20stations%20in%20Taiwan | This article consists of the busiest railway stations in Republic of China (Taiwan), with the statistics being taken from the official data of the years 2020. Ridership numbers are for Inter-city rail systems, Taiwan Railways Administration (TRA) and Taiwan High Speed Rail (THSR) only, other rail transport like MRT are not included.
TRA
Only the top 20 busiest TRA stations are shown.
THSR
All 12 THSR stations are shown. Ridership numbers were decreased in 2020 due to COVID-19 outbreak.
References
Railway stations, busiest
Busiest railway stations in Taiwan |
https://en.wikipedia.org/wiki/To%20Have%20%26%20to%20Hold%20%28Philippine%20TV%20series%29 | To Have & to Hold is a 2021 Philippine television drama romance series broadcast by GMA Network. Directed by Don Michael Perez, it stars Carla Abellana, Rocco Nacino and Max Collins. It premiered on September 27, 2021, on the network's Telebabad line up. The series concluded on December 17, 2021, with a total of 60 episodes.
The series is streaming online on YouTube.
Cast and characters
Lead cast
Carla Abellana as Erica Pineda-Gatchalian
Rocco Nacino as Gavin Ramirez
Max Collins as Dominique "Dom" Garcia-Ramirez
Supporting cast
Roi Vinzon as Giovanni Ramirez
Ina Feleo as Raquel "Quel" Asuncion
Valeen Montenegro as Sofia Carlos
Bing Pimentel as Carmelita "Millet" Ramirez
Gilleth Sandico as Victoria "Vicky" Pineda
Luis Hontiveros as Daryl Manabal
Athenah Madrid as Grace "Gracie" Ramirez-Manabal
Guest cast
Rafael Rosell as Timothy "Tony" Gatchalian
Dion Ignacio as Ian Lobangco
JC Tan as Jeremy Fabregas
Kevin Sagra as Jessie
Gerick Manalo as Dino
Production
Actor Derek Ramsay was initially hired to appear in the series as Gavin Ramirez. In May 2021, Ramsay was replaced by Rocco Nacino. Principal photography commenced in May 2021. It was halted in August 2021 due to the community quarantine imposed in the National Capital Region in response to the COVID-19 pandemic.
Ratings
According to AGB Nielsen Philippines' Nationwide Urban Television Audience Measurement People in television homes, the pilot episode of To Have & to Hold earned a 9.5% rating.
References
External links
2021 Philippine television series debuts
2021 Philippine television series endings
Filipino-language television shows
GMA Network drama series
Philippine romance television series
Television productions postponed due to the COVID-19 pandemic
Television shows set in the Philippines |
https://en.wikipedia.org/wiki/The%20World%20Between%20Us%20%28Philippine%20TV%20series%29 | The World Between Us is a Philippine television drama romance series broadcast by GMA Network. Directed by Dominic Zapata, it stars Alden Richards and Jasmine Curtis-Smith. It premiered on July 5, 2021 on the network's Telebabad line up replacing First Yaya. The series concluded on January 7, 2022 with a total of 75 episodes. It was replaced by I Can See You in its timeslot.
The series is streaming online on YouTube.
Cast and characters
Lead cast
Alden Richards as Luisito "Louie" Asuncion
Jasmine Curtis-Smith as Emilia "Lia" Libradilla-Asuncion
Supporting cast
Tom Rodriguez as Brian Libradilla / Brian Delgado
Jaclyn Jose as Jacinta "Yachie" Delgado
Dina Bonnevie as Rachel Cruz-Libradilla
Sid Lucero as Eric Carlos
Kelley Day as Audrey Villacer
Yana Asistio as Jacqueline "Jackie" Carlos-Libradilla
Don Bocco as Agapito "Pitoy" Flores
Jericho Arceo as Edison Tomas
Celeste Guevarra as Aira
Lyra Micolob as Gina
Guest cast
Glydel Mercado as Clara Asuncion
Will Ashley as young Brian
Shanelle Agustin as young Lia
Izzy Canillo as young Louie
Ashley Rivera as young Rachel
Dion Ignacio as Franco Libradilla
Faye Lorenzo as young Yachie
Jong Cuenco as Alvaro Villacer
Seb Pajarillo as Aga
Angelo Alagban as Karl
Karl Aquino as Dexter
Gould Aceron as Drew
Manel Sevidal as Carla
Ella Cristofani as Megan
Ricky Davao as Emmanuelito "Emmanuel/Noli" Asuncion
Mia Pangyarihan as Robin
Production
Principal photography commenced in June 2021.
Ratings
According to AGB Nielsen Philippines' Nationwide Urban Television Audience Measurement People in television homes, the pilot episode of The World Between Us earned a 13.9% rating. While the final episode scored a 14.3% rating.
References
External links
2021 Philippine television series debuts
2022 Philippine television series endings
Filipino-language television shows
GMA Network drama series
Philippine romance television series
Television shows set in the Philippines |
https://en.wikipedia.org/wiki/Roy%20F.%20Guzm%C3%A1n | Roy Fernando Guzmán Rodriguez (born June 28, 1987) is a composer of experimental, contemporary and algorithmic instrumental and electronic music, sound artist, improviser and poet born in San Juan, Puerto Rico.
His music is mainly exploratory and uses algorithmic procedures to create musical structures. The theme of chaos theory, abstracting sound scores to instrumental music, Musica A Lo Pobre, non duality, multipolarity and axiomatic music tends to be the major pivots in his work.
In sound art he investigates Plastic Sound Forms which is a field were the illusion of plasticity in sound is investigated to create solid sonic forms in 3D space.
He is also a guitarist and Puerto Rican cuatro player, improviser and founding member of the Puerto Rican folkloric experimental trio called Abolengo and the founder of CMEPR – Collective of Experimental Music of Puerto Rico.
He has performed and presented works in The Hague and Amsterdam-The Netherlands, Bratislava-Slovakia, Budapest-Hungary, Vienna-Austria, Rhode Island, Boston, New York, California – USA, Banff-Canada, Chile, Argentina and Mexico.
He is currently active in the experimental music scene in Puerto Rico.
References
Living people
1987 births
Musicians from San Juan, Puerto Rico
Puerto Rican composers
American male composers
Puerto Rican poets
American avant-garde musicians
Experimental composers
American noise musicians |
https://en.wikipedia.org/wiki/Self-supervised%20learning | Self-supervised learning (SSL) is a paradigm in machine learning for processing data of lower quality, rather than improving ultimate outcomes. Self-supervised learning more closely imitates the way humans learn to classify objects.
The typical SSL method is based on an artificial neural network or other model such as a decision list. The model learns in two steps. First, the task is solved based on an auxiliary or pretext classification task using pseudo-labels which help to initialize the model parameters. Second, the actual task is performed with supervised or unsupervised learning. Other auxiliary tasks involve pattern completion from masked input patterns (silent pauses in speech or image portions masked in black).
Self-supervised learning has produced promising results in recent years and has found practical application in audio processing and is being used by Facebook and others for speech recognition.
Types
For a binary classification task, training data can be divided into positive examples and negative examples. Positive examples are those that match the target. For example, if you're learning to identify birds, the positive training data are those pictures that contain birds. Negative examples are those that do not.
Contrastive self-supervised learning
Contrastive self-supervised learning uses both positive and negative examples. Contrastive learning's loss function minimizes the distance between positive samples while maximizing the distance between negative samples.
Non-contrastive self-supervised learning
Non-contrastive self-supervised learning (NCSSL) uses only positive examples. Counterintuitively, NCSSL converges on a useful local minimum rather than reaching a trivial solution, with zero loss. For the example of binary classification, it would trivially learn to classify each example as positive. Effective NCSSL requires an extra predictor on the online side that does not back-propagate on the target side.
Comparison with other forms of machine learning
SSL belongs to supervised learning methods insofar as the goal is to generate a classified output from the input. At the same time, however, it does not require the explicit use of labeled input-output pairs. Instead, correlations, metadata embedded in the data, or domain knowledge present in the input are implicitly and autonomously extracted from the data. These supervisory signals, generated from the data, can then be used for training.
SSL is similar to unsupervised learning in that it does not require labels in the sample data. Unlike unsupervised learning, however, learning is not done using inherent data structures.
Semi-supervised learning combines supervised and unsupervised learning, requiring only a small portion of the learning data be labeled.
In transfer learning a model designed for one task is reused on a different task.
Training an autoencoder intrinsically constitutes a self-supervised process, because the output pattern needs to become an optima |
https://en.wikipedia.org/wiki/Christa%20Peters-Lidard | Christa Peters-Lidard is an American hydrologist known for her work on integrating land surface modeling and data assimilation, particularly with remotely sensed measurements of precipitation.
Early life
Peters-Lidard grew up in Chesterfield County, Virginia where she was fascinated about nature, learned that she was good at math, and that she liked earth science. As an undergraduate at Virginia Tech she worked on a project on aquifers and groundwater flow at the United States Geological Survey and at that point she realized that she wanted to be an earth scientist at National Aeronautics and Space Agency (NASA).
Education and career
Peters-Lidard has a B.S. in Geophysics from Virginia Tech (1991). Subsequently she earned an M.A. (1993) and a Ph.D. (1997) in Civil Engineering and Operations Research from Princeton University. From 1997 to 2001, Peters-Lidar was an assistant professor at Georgia Institute of Technology. Following this she joined the hydrological sciences branch of the National Aeronautics and Space Agency (NASA) at the Goddard Space Flight Center. In 2015, Peters-Lidar became the Deputy Director for Hydrosphere, Biosphere, and Geophysics works in the Earth Sciences Division at NASA Goddard Space Flight Center.
From 2011 to 2018 Peters-Lidar was the Chief Editor for the Journal of Hydrometeorology.
Research
Peters-Lidard's graduate work linked rainfall measurements with data from airborne sensors detecting rainfall. She also established a mathematical framework to link land-atmosphere models with remotely-sensed rainfall data, and considered the role of heat being released from soils on modeling energy fluxes. While at Georgia Institute of Technology, she used balloons to make measurements of boundary layers in the atmosphere. Peters-Lidard has had one Ph.D student, Feifei Pan, who estimated the amount of water in soils based on rainfall levels, and examined algorithms used to characterize variability in a region's topography.
Peters-Lidard led the team that built a high performance computing cluster that became NASA's Land Information System software (LIS). LIS was the co-winner of NASA's 2005 software of the year award. LIS allows land surface modeling and data assimilation and, working with Sujay Kumar, Peters-Lidard used this system to quantify soil moisture assimilation.
Selected publications
Awards and honors
Arthur S. Flemming Award (2007)
NASA Outstanding Leadership Medal (2012)
Fellow, American Meteorological Society (2012)
Fellow, American Geophysical Union (2018)
Reference section
External links
Peters-Lidard's NASA Mainiac lecture, November 28, 2018, available on NASA's Goddard Space Flight Center's YouTube channel
NASA's Land Information System software (LIS)
1969 births
Living people
Fellows of the American Geophysical Union
Virginia Tech alumni
Princeton University School of Engineering and Applied Science alumni
Women hydrologists
NASA people |
https://en.wikipedia.org/wiki/Lathwell | Lathwell is a surname. Notable people with the surname include:
Mark Lathwell (born 1971), English cricketer
Richard H. Lathwell, computer scientist |
https://en.wikipedia.org/wiki/VPN%20service | A virtual private network (VPN) service provides a proxy server to help users bypass Internet censorship such as geoblocking and users who want to protect their communications against data profiling or MitM attacks on hostile networks.
A wide variety of entities provide "VPNs" for several purposes. But depending on the provider and the application, they do not always create a true private network. Instead, many providers simply provide an Internet proxy that uses VPN technologies such as OpenVPN or WireGuard. Commercial VPN services are often used by those wishing to disguise or obfuscate their physical location or IP address, typically as a means to evade Internet censorship or geo-blocking.
Providers often market VPN services as privacy-enhancing, citing security features, such as encryption, from the underlying VPN technology. However, users must consider that when the transmitted content is not encrypted before entering the proxy, that content is visible at the receiving endpoint (usually the VPN service provider's site) regardless of whether the VPN tunnel itself is encrypted for the inter-node transport. The only secure VPN is where the participants have oversight at both ends of the entire data path or when the content is encrypted before it enters the tunnel.
On the client side, configurations intended to use VPN services as proxies are not conventional VPN configurations. However, they do typically utilize the operating system's VPN interfaces to capture the user's data to send to the proxy. This includes virtual network adapters on computer OSes and specialized "VPN" interfaces on mobile operating systems. A less common alternative is to provide a SOCKS proxy interface.
In computer magazines, VPN services are typically judged on connection speeds; privacy protection, including privacy at signup and grade of encryption; server count and locations; interface usability; and cost.
In order to determine the degree of privacy and anonymity, various computer magazines, such as PC World and PC Magazine, also take the provider's own guarantees and its reputation among news items into consideration.
Criticism and limitations
Users are commonly exposed to misinformation on the VPN services market, which makes it difficult for them to discern fact from false claims in advertisements. According to Consumer Reports, VPN service providers have poor privacy and security practices and also make hyperbolic claims. The New York Times has advised users to reconsider whether a VPN service is worth their money. VPN services are not sufficient for protection against browser fingerprinting.
Common misconceptions
A VPN does not make one's Internet use private. Users can still be tracked through tracking cookies and device fingerprinting, even if the user's IP address is hidden.
A VPN can log the user's traffic, however this depends on the VPN provider.
A VPN does not make the user immune to hackers.
A VPN is not in itself a means for good Internet |
https://en.wikipedia.org/wiki/Mona%20Zaghloul | Mona Elwakkad Zaghloul is an Egyptian-American electronics engineer known for her work in integrated circuits, neural networks, and CMOS-based microelectromechanical systems. She is a professor of electrical and computer engineering in the George Washington University School of Engineering and Applied Science, where she directs the Institute of MEMS and VLSI Technologies.
Education and career
Zaghloul earned a bachelor's degree in electrical engineering in 1969 from Cairo University. She went to the University of Waterloo in Canada for graduate study, earning two master's degrees in electrical engineering (1970) and applied analysis and computer science (1971) before completing her PhD in electrical engineering there in 1975. She was the first woman to earn an engineering doctorate at the University of Waterloo.
After postdoctoral research at Aalborg University and the University of Waterloo, she began working in industry in 1978, as a research contractor associated with the NASA Goddard Space Flight Center. In 1980 she returned to academia as an assistant professor at George Washington University. She was tenured there in 1983 and promoted to full professor in 1989. She was chair of electrical engineering and computer science from 1994 to 1998, and became director of the Institute of MEMS and VLSI Technologies in 1996.
She has also worked as a guest researcher at the National Institute of Standards and Technology from 1984 to 2006, and as program director in the Division of Electrical, Communications and Cyber Systems of the National Science Foundation from 2014 to 2016.
Recognition
Zaghloul was named a Fellow of the IEEE in 1996, "for leadership in education and research in integrated circuit design and their application to neural networks". She won the IEEE Circuits and Systems Jubilee Golden Medal in 2000, and was an IEEE Circuits and Systems Society Distinguished Lecturer for 2000–2002. In 2008–2009 she served as president of the IEEE Sensors Council.
The University of Waterloo gave her an honorary doctorate in 2007. She was elected to the National Academy of Inventors in 2017.
References
External links
Year of birth missing (living people)
Living people
American electronics engineers
American women engineers
Egyptian electrical engineers
Egyptian women academics
Cairo University alumni
University of Waterloo alumni
George Washington University faculty
Fellow Members of the IEEE |
https://en.wikipedia.org/wiki/Selva%20Orej%C3%B3n | Selva Orejón (born 1981, Barcelona) is a Spanish consultant expert in cybersecurity and digital identity, contributor to several radio and television programs; professor, author and founder/director of the digital reputation and cyber-research agency "OnBranding".
Career development
She holds a degree in Communication Sciences from the Ramon Llull University, specializing in advertising and public relations and crisis management. She has taken several postgraduate courses related to security and business: diploma in Intelligence at the service of the state and the company (International University of Andalucía) and diploma in Business administration and environment (University of Cambridge).
She was director of strategic communications for thirteen years in several Spanish companies: Repsol, Grupo Planeta, Grupo Atofina, Holtzbrink Group and Grupo Agrolimen.
Working as director of the German social network SchülerVZ for Spain and Latin America, she witnessed the first cyber-attacks and extortions, and the need to deal with them in a professional way, taking digital reputation into account.
Back to Spain in 2007, she founded the company OnBranding, focusing on reputational crises and digital reputation management. After settling in Barcelona, the company grew in size and broadened its scope. In addition to dealing with smear campaigns of relevant companies, and establishing security shields, she has also developed a work to protect people in the digital environment, especially women who are victims of identity phishing on social networks.
In 2016, she began managing the digital reputation of celebrities through "Celebrandsec" after several cases of celebrity account hacks on Instagram and Facebook that were resold to criminal sectors or were used to extort money from their owners.
Also since 2016 she is a judicial expert collaborating with the Spanish administration of justice in digital identity, online reputation and image, and digital identity protection of protected witnesses. She is a member of the Catalan Association of Judicial and Forensic Experts.
As a judicial expert, she has a constant relationship with the courts and the police in the prosecution of digital crimes. For this reason, she has been threatened with death on several occasions due to her cyber investigations (in the dark web or dark areas of the internet where part of the criminal world is hosted).
Teaching
She is a professor at several universities and business schools:
ESIC (2010- ....): Master in online reputation and online communities.
EAE Business School (2011- ...): E-Commerce and Master in Online Marketing.
INESDI Digital Business School (2012-...): Social Media Security, SMO, Blogging and Content Tools and director of the postgraduate course in Cybersecurity.
CRIAP Institute (2015-...): Director of the Cybercrime Postgraduate Course.
Universitat de Barcelona, Instituto de Formación Continua IL3: Lecturer in cybersecurity (2016) and Ciberintel-ligència |
https://en.wikipedia.org/wiki/Bayesian%20learning%20mechanisms | Bayesian learning mechanisms are probabilistic causal models used in computer science to research the fundamental underpinnings of machine learning, and in cognitive neuroscience, to model conceptual development.
Bayesian learning mechanisms have also been used in economics and cognitive psychology to study social learning in theoretical models of herd behavior.
See also
Active learning
Bayesian learning
Cognitive acceleration
Cognitivism (learning theory)
Constructivist epistemology
Developmental psychology
Fluid and crystallized intelligence
Inquiry-based learning
Kohlberg's stages of moral development
Theory theory
References |
https://en.wikipedia.org/wiki/Crystal%20Denlinger | Crystal Denlinger (born 1975) is an American medical oncologist. In 2021, she was appointed the Chief Scientific Officer of the National Comprehensive Cancer Network.
Early life and education
Denlinger was born to parents Edgar and Cynthia in New Jersey and grew up alongside her brother Craig. She obtained her medical degree from New Jersey Medical School and completed her internal medicine residency at Mount Sinai Medical Center. Following this, she completed her fellowship in hematology/oncology at Temple University's Fox Chase Cancer Center. Denlinger later said that she chose to pursue a career in oncology after her father was diagnosed with kidney cancer.
Career
Upon completing her formal education, Denlinger joined the faculty at Fox Chase Cancer Center. While serving as an associate professor, Denlinger became a founding member of the National Comprehensive Cancer Network (NCCN)'s Survivorship Guideline panel and spearheaded the development of the Center for Survivorship at Fox Chase.
While flying to the NCCN's 19th Annual Conference in March 2014, Denlinger's plane crashed on the runway following takeoff. She bordered another flight six hours later to reach the conference in time. At the conference, Denlinger presented with Terry S. Langbaum on the topic of patients and providers' care and surveillance following cancer. She was originally scheduled to present a poster study but left that on the plane when she was evacuated. A few years later, Denlinger became the first and only NCCN Panel chair who began her relationship with NCCN as a participant in the NCCN Fellows Program. In 2018, her efforts were honored by the NCCN with their Rodger Winn Award.
During the COVID-19 pandemic, Denlinger was named the Chief Scientific Officer for National Comprehensive Cancer Network.
Notes
References
External links
Living people
Physicians from Pennsylvania
American oncologists
1975 births |
https://en.wikipedia.org/wiki/5GBioShield | The Bauer 5GBioShield, usually shortened to 5GBioShield, is a fraudulent scam protective device which the sellers claims to protect against radiation from 5G mobile networks. The device was invented by clinical pharmacist Jacques Bauer and former scientist Ilija Lakicevic and marketed by Sacha Stone. The product, which was sold for approximately £330 through an affiliate marketing scheme, was found to be composed of a normal USB thumb drive and a sticker. As of April 26, 2022, it is now not possible to purchase the USB key from the official website. British Trading Standards determined that the device was a scam.
Description
The manufacturers claim that:
The device is a 128 MB USB thumb drive containing marketing documents and usage instructions. The device is housed in a clear perspex block depicting a stylised depiction of St George slaying a dragon, based on the reverse of a personal medal originally made by William Wyon for Albert, Prince Consort.
Lakicevic, the co-inventor of the product, describes the device as containing a "new energy" embedded in a sticker, and that the USB stick is merely a carrier and need not be powered on to work. Lakicevic's claims regarding this product were published in a series of self-published articles in International Journal of Science and Research (ITNJ), a pay-to-publish science journal.
Reception
The device was recommended in a report published by Glastonbury Town Council. Town councillor Toby R. Hall recommended that the device could be "helpful" and "provide protection" due to its "wearable holographic nano-layer catalyser".
An analysis by Pen Test Partners, however, concluded that this device was nothing more than a cheap unbranded USB thumb drive. The security firm concluded that the device "should [not] be promoted by publicly-funded bodies".
Following this report, the device was investigated by Trading Standards and found to be a scam and the matter had been referred to City of London Police Fraud Squad.
References
5G conspiracy theorists
Fraudulent detection devices
Medical controversies
Quantum mysticism
Confidence tricks |
https://en.wikipedia.org/wiki/Pegea | Pegea is a genus of tunicates belonging to the family Salpidae.
The genus has almost cosmopolitan distribution.
Species:
Pegea bicaudata
Pegea confoederata
Pegea socia
References
Thaliacea
Tunicate genera |
https://en.wikipedia.org/wiki/Plume%20%28company%29 | Plume is a Software-as-a-Service (SaaS) company that provides self-optimizing, smart WiFi services, visibility, and network control for Communications Service Providers (CSPs) and their subscribers, including personal households and small businesses.
The company is based in Palo Alto, California and was founded by Fahri Diner.
History
Plume was founded in 2015 by Fahri Diner. The company began offering its cloud-delivered services in June 2016.
In 2017, Plume raised $63 million in funding. In 2018, the company changed to a subscription model beginning with its Adaptive Wi-Fi service and new SuperPods. The SuperPods are slightly larger than the first generation pods, capable of faster speeds, and contain two integrated Ethernet ports.
In February 2019, TalkTalk, a UK-based telecommunications company, signed a deal with Plume to bring Plume Wi-Fi to TalkTalk’s broadband customers. After a month, Plume's services became available to all UK households. In November, the company expanded into Asia when it announced a deal with J:COM, Japan's largest cable-TV operator.
In November 2020, Plume acquired British Columbia-based network intelligence and security software firm Walleye. Plume also started working with POST Luxembourg.
The company works with more than 240 service providers including Comcast, Charter, Qualcomm, Cablevision, Shaw Communications, Bell Canada, and Liberty Global. It also partners with U.S. cable television cooperative NCTC, Sagemcom, and customer-premises equipment (CPE) vendors and resellers including Technicolor, and ADTRAN.
In October 2021, it was announced that Plume raised $300 million in a Series F round, bringing Plume's valuation up to $2.6 billion.
Services
Plume provides an adaptive WiFi platform with cloud management services that works automatically to self-optimize network connections. It provides interoperability for homes and businesses that may be using smart devices from different manufacturers. Plume’s products are open, allowing them to work with any CSP.
Using its cloud management, Plume can identify and measure network traffic and then make changes to provide better performance. For example, if the bedrooms in a home are empty because everyone is in the living room streaming a movie in HD, Plume’s network will route more bandwidth to the streaming device in the living room. The company provides WiFi through its tri-band pods, which plug into wall outlets, or through an OpenSync integration into a CSP’s existing Customer Premises Equipment (CPE).
Plume’s services include:
Adaptive WiFi: Plume adjusts bandwidth as load demand shifts throughout the day.
Control: allows users to set up profiles and manage devices and usage, set individual WiFi passwords for guests, and restrict guest access to certain devices
Motion sensing: uses WiFi radio waves to detect motion in areas of a house. The functionality uses OpenSync nodes or, Plume’s SuperPods, and connected IoT devices to provide the sensing inf |
https://en.wikipedia.org/wiki/Ani%20Nenkova | Ani Nenkova is Principal Scientist at Adobe Research, currently on leave from her position as an Associate Professor of Computer and Information Science at the University of Pennsylvania. Her research focuses on computational linguistics and artificial intelligence, with an emphasis on developing computational methods for analysis of text quality and style, discourse, affect recognition, and summarization.
Education
Nenkova earned her Master's degree from the Department of Mathematical Logic and Applications (Faculty of Mathematics and Informatics) at Sofia University in Bulgaria. She then carried out doctoral work at Columbia University, where she was advised by Kathleen McKeown, earning a Ph.D. in computer science in 2006.
Career
Besides Nenkova’s position as an associate professor at the University of Pennsylvania, she also serves as a co-editor-in-chief of the Transactions of the Association for Computational Linguistics (TACL) and an area chair/senior program committee member for ACL, NAACL and AAAI. In the past, she has served as a member of the editorial board of Computational Linguistics (2009--2011), an associate editor for the IEEE/ACM Transactions on Audio, Speech and Language Processing (2015--2018), and a program co-chair for SIGDial 2014 and NAACL-HLT in 2016. In February of 2021, Nenkova started a new position at Adobe Research, joining the team as the head of the lab while on leave from Penn.
Research
Nenkova’s research interests include natural language processing, summarization, emotion recognition, and discourse. In the area of emotion recognition, Nenkova and her collaborators developed an approach that relies on regions of interest related to properties of phoneme or word classes, which served as a significant improvement over other approaches for representing speech in emotion recognition. In Nenkova’s research on hidden meanings, or what makes “great” writing, and literature search automation, she trains programs on word representation datasets that are curated by humans. These tell the computer what words and phrases mean in a specific context. The long-term goal of this research is to develop new algorithms that can analyze and understand new text without a human translator. Nenkova and her collaborators have also developed many tools and projects, including Speciteller, a tool for predicting sentence specificity, CATS, the corpus of science journalism articles used for their TACL 13 paper, and SIMetrix (Summary Input Similarity Metrics), a tool to perform the automatic summary evaluation in their EMNLP'09 and CL'14 papers.
Publications
Nenkova has over 150 publications.
Selected publications
Automatic Summarization Now Publishers 2011 ISBN 1601984707
Word Embeddings (Also) Encode Human Personality Stereotypes, Agarwal et al, *SEM@NAACL-HLT 2019.
How to Compare Summarizers Without Target Length? Pitfalls, Solutions and Re-Examination of the Neural Summarization Literature, Simeng Sun, Ori Shapira, Ido Dagan, |
https://en.wikipedia.org/wiki/United%20%28video%20game%29 | United is a 1984 video game published by Cases Computer Simulations Ltd.
Gameplay
United is a game in which the player manages and builds a fourth division football team, get them to win the league Championship.
Reception
Luke Renouf reviewed United for Imagine magazine, and stated that "it's a good and fairly difficult game which has an addictive quality that will keep you coming back for more."
References
External links
Review from Crash
Review in TV Gamer
Review in Sinclair User
1984 video games |
https://en.wikipedia.org/wiki/Crystalline%20sponges | Crystalline sponges are series of organometallic networks developed by Japanese chemist Makoto Fujita. The organic small molecules are absorbed into the void space of the crystalline sponges. Since the organometallic network of crystalline sponges can interact with the small molecule substrates via non-covalent interactions, the absorption can be selective. That is, the crystalline sponge can enrich certain molecules from a mixture.
As the crystal sponges are highly organized frameworks, the structure of the whole host-guest complex can be characterized by X-ray diffraction. Because the absorbate is encapsulated in a pre-organized environment, no single crystal of the substrate is needed in the X-ray diffraction. Besides, the X-ray crystallography of liquid samples can also be conducted.
Molecular structure and composition
The first crystalline sponges developed by Makoto Fujita is [(Co(NCS)2)3(TPT)4], which is an infinitely extensive framework of Co2+ octahedral complex. Each octahedral complex is composed of six Co(NCS) vertexes and four 2,4,6-tris(4-pyridyl)-1,3,5-triazine (TPT) ligands. Besides the basic octahedral cavity (M6L4), there are also two different cuboctahedral cavities (M12L8 and M12L24) which can accommodate larger molecules, such as C60, C70.
In 2013, the Fujita and his team discovered that the [(ZnI2)3(TPT)2] organometallic network can also act as a crystalline sponge. Because Zn crystalline sponges are less symmetrical (C2) than Co crystalline sponges, the X-ray diffraction analysis of its guest molecules is easier to be elucidated.
The Zn-based sponges also have following advantages: (1) Pores sizes are suitable for accommodating general organic compounds (5 × 8Å), (2) The distribution of TPT ligand is flat, providing better stacking opportunity of aromatic guest compounds or C—H π interaction opportunity with aliphatic guest compounds, (3) The iodine atoms and the pyridinium protons can be hydrogen bond acceptors or donors, respectively. They would enhance the interaction between the substrate and the crystalline sponges, (4) The framework of Zn-based crystalline sponge is flexible to some extent. The molecule which is a little bit larger than the sponge cavity can still be accommodated via framework expansion to adjust the pore size.
Preparation
For preparation of [(Co(NCS)2)3(TPT)4] crystalline sponges, the methanol solution of Co(NCS)2 was added into the TPT solution in 1,2-dichlorobenzene/methanol. After 7 days, the [(Co(NCS)2)3(TPT)4] would form and can be isolated by filtration.
For preparation of [(ZnI2)3(TPT)2] crystalline sponges, the methanol solution of ZnI2 was added onto the top of TPT in nitrobenzene solution. After 7 days, the [(ZnI2)3(TPT)2] would form and can be isolated by filtration.
Once the feedstocks were mixed, crystalline sponges would be produced via self-assembling processes, forming the thermodynamically stable organized network structures.
Application
Extract compounds from mixture
Th |
https://en.wikipedia.org/wiki/Australian%20Ninja%20Warrior%20%28season%205%29 | The fifth season of the sports entertainment reality competition series Australian Ninja Warrior premiered on 20 June 2021 on the Nine Network. The season is hosted by Rebecca Maddern, Ben Fordham, Shane Crawford and Nick Kyrgios.
Production
The Nine Network announced a fifth season on 16 September 2020. Casting applications are open until 30 November 2020. The series was again relocated, filming took place in Homebush, Sydney. In June 2021, Nine announced Nick Kyrgios would be joining the series as a sideline commentator alongside Shane Crawford, Andrew Flintoff didn't return for this season due to travel challenges and a busy schedule. In October, it is announced that Ben Fordham won't return for season 6, opting to focus on his radio career.
Format Changes
Obstacle Choice - During the heats, each ninja warrior has the decision to choose between two obstacles courses, both leading to the warped wall, course A includes obstacles they have attempted before on previous seasons, whereas course B includes all new obstacles not attempted before.
Rounds
Underline represents the contestant who won the Fast Pass to the Grand Final in the qualifying heats as a result of winning the head to head competition on the Power Tower.
represents the contestant who won the Safety Pass in the semi-finals as a result of winning the head to head competition on the Power Tower.
Italics denotes female competitors.
Episode 1
Heat 1
This episode aired on 20 June 2021. Only five competitors completed this course, with a large number of athletes bowing out on the Flying Shelf Grab. Returning athlete Bryson Klein was given a fast pass to the Grand Final, after beating last season's winner Ben Polson on the Power Tower.
Shrinking Steps
Big Dipper to Pole Rider
Cyclone Spinner
Obstacle A:
Flying Shelf Grab
Floating Monkey
Warped Wall
Obstacle B:
Ring Chaser
Clockwork
Warped Wall
Episode 2
Heat 2
This episode aired on 21 June 2021. Only five competitors completed this course, with a large number of athletes bowing out on the Beehive. Returning athlete Ashlin Herbert was given a fast pass to the Grand Final, after beating returning athlete Le Hua on the Power Tower.
Shrinking Steps
Big Dipper to Rope
Cyclone Spinner
Obstacle A:
Peg Board
Bar Hop
Warped Wall
Obstacle B:
Weight For It
Beehive
Warped Wall
Episode 3
Heat 3
This episode aired on 22 June 2021. Only four competitors completed this course, with a large number of athletes bowing out on the Cyclone Spinner. Returning athlete Charlie Robbins was given a fast pass to the Grand Final, after beating returning athlete Zak Stolz on the Power Tower.
Shrinking Steps
Big Dipper to Rope
Cyclone Spinner
Obstacle A:
Flying Shelf Grab
Floating Monkey
Warped Wall
Obstacle B:
Ring Chaser
Clockwork
Warped Wall
Episode 4
Heat 4
This episode will air on 28 June 2021. Only eight competitors completed this course, with a large number of athletes bowing out equally on the Bar Hop and Beehive. First time athlete Jimmy Bu |
https://en.wikipedia.org/wiki/My%20Little%20Pony%3A%20Make%20Your%20Mark | My Little Pony: Make Your Mark is a computer-animated comedy streaming television series tied to the fifth incarnation (also referred to as the fifth generation or "G5") of Hasbro's My Little Pony toyline.
Set after the events of the film My Little Pony: A New Generation (2021), the series follows five ponies—Sunny Starscout (Jenna Warren), an idealistic earth pony; Izzy Moonbow (Ana Sani), a creative unicorn; Hitch Trailblazer (J.J. Gerber), a responsible earth pony; and sisters Zipp Storm (Maitreyi Ramakrishnan) and Pipp Petals (AJ Bridel), two pegasi princesses—on their adventures across Equestria.
Developed by Gillian Berrow for Netflix, the 44-minute special episode Make Your Mark premiered as a teaser on May 26, 2022, followed by the release of eight further episodes on September 26. The series is a collaboration between Entertainment One and Atomic Cartoons, and a total of four 44-minute special episodes and twenty-three 22-minute episodes have been ordered.
Premise
Many generations after Twilight Sparkle became the ruler of Equestria, Sunny Starscout, Izzy Moonbow, Hitch Trailblazer, the sisters Pipp Petals and Zipp Storm, and newcomer Misty Brightdawn—the "New Mane Six"—live in Maretime Bay, after having brought back magic to the world. Sunny's home, the Crystal Brighthouse, now holds the Unity Crystals, special magical objects created by Twilight long ago to save the ponies of Equestria from the evil fire alicorn Opaline Arcana. The three pony kinds—unicorns, pegasi and earth ponies—have been reunited, but still face some obstacles in living together and dealing with their newfound magic, especially the earth ponies' new ability to make plants instantly grow out of the ground.
Sunny and her friends go on adventures and live life, and their friendship grows as they learn to understand each other's differences and deal with various challenges. Meanwhile, the immortal alicorn Opaline, weakened and forgotten by the world, desires to take all the magic in Equestria for herself and rule the land. She sends her unicorn assistant Misty, who knows little about the world outside Opaline's castle, to spy on Sunny and her friends in furtherance of Opaline's plans as she promised to give Misty her own cutie mark, a symbol that appears on a ponies' flank when they discover their special talent. Misty is rarely successful, but sometimes finds herself enjoying life in Maretime Bay and begins to discover that the outside world is broader than Opaline has told her. As the series progresses, Opaline devises a range of plans to strengthen her own magic in preparation to mount an assault on Equestria.
Voice cast
Main
Jenna Warren as Sunny Starscout, a bright-eyed earth pony/alicorn who runs a smoothie stand in Maretime Bay and seeks to make the world a better place.
J.J. Gerber as Hitch Trailblazer, an earth pony with an affinity for critters who serves as the sheriff of Maretime Bay.
Ana Sani as Izzy Moonbow, a happy-go-lucky unicorn from Bridlewood |
https://en.wikipedia.org/wiki/Samsung%20Catalyst%20Fund | The Samsung Catalyst Fund (SCF) is the evergreen venture capital fund of Samsung Electronics. The fund invests in deep technology, artificial intelligence and big data startups. The fund's headquarters are located in San Jose, California, with offices in Seoul, Tel Aviv, and Paris.
History
In February 2013, Samsung Electronics launched a new fully-owned investment fund, called the Samsung Catalyst Fund, or SCF. The announcement was made at an event in Menlo Park. The fund is distinct from Samsung's other investment arms, Samsung Ventures investments and Samsung NEXT.
Approach
The fund has a multi-stage investment strategy and seeks to invest in startups in the data center, cloud computing, edge computing, artificial intelligence, quantum computing, 5G, automotive technology, robotics and digital health spaces. Startups in the fund's portfolio are selected both for value creation and their potential creative impact on Samsung. The fund additionally looks for startups that provide support to Samsung's components business and semiconductor units, as well as a focus on cloud infrastructure and internet of things.
Alongside capital, the fund provides shared resources, networking, corporate development, and mentorship for its portfolio companies.
Portfolio investments
As of May 2021, the fund has made more than 60 investments, including AIMotive, SambaNova, Fungible, Graphcore, SoundHound Inc, Rescale, and Valens Semiconductor. The fund has seen multiple exits, including Argus Cyber Security, which was acquired by Continental AG in November 2017; Babblelabs, which was acquired by Cisco; Datrium, which was acquired by VMWare; Habana Labs which was acquired by Intel; Mapillary, which was acquired by Facebook; Preventice Solutions, which was acquired by Boston Scientific; Pixeom, which was acquired by Siemens; and Ring, which was acquired by Amazon.
The fund has also had portfolio companies go public, including Innoviz Technologies, which began trading on the Nasdaq exchange (under the ticker symbols INVZ and INVZW) on April 6, 2021, and raised $371 million in its market debut, and IonQ which went public on the New York Stock Exchange under the ticker symbol “IONQ” on March 8, 2021, and raised $650M. On May 25, 2021, Valens announced going public on the New York Stock Exchange under the symbol “VLN” and plan for raising $240M.
References
Samsung Electronics
Venture capital firms |
https://en.wikipedia.org/wiki/Desert%20Rats%3A%20The%20North%20Africa%20Campaign | Desert Rats: The North Africa Campaign is a 1985 video game published by Cases Computer Simulations.
Gameplay
Desert Rats: The North Africa Campaign is a game in which the North African Campaign of World War II in covered in detail.
Reception
M. Evan Brooks reviewed the game for Computer Gaming World, and stated that "For the more casual gamer, this game offers little. For the gamer intrigued by Rommel and Montgomery (wait a minute, was anyone ever intrigued by Montgomery?), Desert Rats offers the most detailed treatment available."
Reviews
Crash! - Jun, 1986
ACE (Advanced Computer Entertainment) - Dec, 1987
Computer Gaming World - Nov, 1991
References
External links
Text from additional reviews at Spectrum Computing
1985 video games
Amstrad CPC games
Computer wargames
North African campaign
Turn-based strategy video games
Video games about Nazi Germany
Video games developed in the United Kingdom
Video games set in Libya
World War II video games
ZX Spectrum games |
https://en.wikipedia.org/wiki/2017%E2%80%932018%20Department%20of%20Justice%20metadata%20seizures | The United States Department of Justice under the Trump administration acquired by a February 2018 subpoena the Apple iCloud metadata of two Democrats on the House Intelligence Committee, several others associated with the committee, and some of their family members. The subpoena covered 73 phone numbers and 36 email addresses since the inception of the accounts. Seizing communications information of members of Congress is extraordinarily rare. The department also subpoenaed and obtained 2017 and 2018 phone log and email metadata from news reporters for CNN, The Washington Post and The New York Times. Apple also received and complied with February 2018 subpoenas for the iCloud accounts of White House counsel Don McGahn and his wife. Microsoft received a subpoena relating to a personal email account of a congressional staff member in 2017.
The seizures were made under unusual gag orders and were part of the department's attempt to identify who had leaked information to the press about contacts between Trump associates and Russian officials and spies, as well as foreign policy matters. The subpoenas began under Attorney General Jeff Sessions, who in March 2017 had recused himself from all investigations relating to Russia, and continued under Attorney General Bill Barr. Both men, and their deputy Rod Rosenstein, later said they had no knowledge of the subpoena for members of Congress. The subpoenas first came to the attention of the public via press reports in May 2021, as gag orders expired and the targets of the subpoenas were finally notified that their data had been given to the Justice Department. The Justice Department inspector general and House Judiciary Committee soon opened investigations.
Background
Slate reported in 2013 that the government's interpretation of "metadata" could be broad, and might include message content such as the subject lines of emails.
The Justice Department's use of the Espionage Act of 1917 to seek reporter records dramatically increased over the last 2 decades, with the Bush and Obama administrations also relying on the law to pursue leakers. The Obama Justice Department under Eric Holder was sharply criticized for its use of subpoenas to acquire metadata of journalists in an unprecedented crackdown on leaks of classified information to the press. Beginning in 2014, Holder instituted new rules to curtail but not eliminate such practices.
Leading up to and following the 2016 United States presidential election, there were widespread press reports that Russia attempted to influence the election so as to favor Donald Trump and oppose Hillary Clinton. Even before his inauguration, President-elect Trump demanded investigations to find out who was leaking information about the Russian activity. After Trump took office as president in 2017, the Justice Department under Attorney General of the United States Jeff Sessions undertook a vigorous investigation into who had leaked information to the press about the Russian |
https://en.wikipedia.org/wiki/TKO%20Major%20League%20MMA | TKO Major League MMA is a Canadian mixed martial arts promotion established in 2000, it was originally broadcast on RDS and later on Fight Network. Formerly known as the Universal Combat Challenge (UCC), it was the first mixed martial arts promotion in Canada, before eventually rebranding to TKO Major League MMA in 2003. For years it was the largest MMA promotion in Canada, before eventually going on hiatus for 8 years. Returning in 2016, since then it has signed a deal with the UFC to be broadcast on the promotion's streaming service UFC Fight Pass.
History
Founded in early 2000 by Stephane Patry and Universal Combat Challenge (UCC) would allow wrestling, boxing, kickboxing, grappling, their bouts consisted of two 10 minute rounds. The rules at the beginning also allowed for knee's and kick's(soccer kick) to the head of a downed opponent. Following the success of the first event they would announce that the promotion would
be instituting Canadian Championship titles as well as the World Championship titles beginning at UCC 2 due to international interest, this would last until 2005 when the promotion unified the titles. UFC/TKO started off with 6 weight classes, 265 lb, formerly unlimited), Light Heavyweight (205 lb), Middleweight(185 lb), Welterweight(170 lb), Lightweight(155 lb) and Super Lightweight(now known as Featherweight 145 lb). Bantamweight would be added in 2007 and following the promotions return from hiatus, Flyweight(125 lb) and 2 female weight classes were introduced, Woman's Flyweight and Woman's Straw-weight (125 lb and 115 lb).
TKO/UCC was the first promotion of its kind in Canada and was host to an abundance of Canada's top MMA talent for close to two decades, in 2003 the organization would be rebranded as TKO Major League MMA. In the promotions early days they used a boxing-style ring for their contests, before eventually being one of the first to adopt the UFC-spec octagon. The promotion has organized 62 events involving over 620 matches.
Universal Combat Challenge
On June 2, 2000, UCC would hold their first event in Montreal, Quebec, Canada. The promotion ran 21 events under the UCC banner before rebranding to TKO Major League MMA in 2003.
Events
TKO Major League MMA
On September 6, 2003, TKO had its first show under the new brand name. 41 events have been held under the TKO banner with the previous UCC events being added being added onto TKO.
Events
Events
Scheduled events
Past events
Return
The company's return to action would be announced with TKO 36: Resurrection on November 4, 2016. This coming after 8 years of inactivity. With founder Stephane Patry returning it quickly regained its status as one of the top Mixed Martial Arts promotions in Canada. Since then it has held 14 event's all in Quebec, the return would see the introduction of new weight classes including female weight classes which had previously been absent from the promotion.
Broadcast deal
In August 2016 it was announced that TKO Major League |
https://en.wikipedia.org/wiki/Jeb%20Havens | Jeb Havens is a game designer, video game developer, industry activist and singer-songwriter. He has worked for companies such as Cyberlore, Electronic Arts (EA), and Google, and is known for his work in video games such as Playboy: The Mansion, Disney Princess: Magical Jewels, and the Spore series. Havens designed several party games throughout his career, including the 2021 board game Uk'otoa published by Darrington Press. As a recording artist, Havens released his debut album in 2016.
Noted as one of the few prominent openly gay professionals in the video game industry, Havens promoted and contributed to public discussions about LGBT issues within the industry during the 2000's.
Life and career
Havens began working as a professional designer for video games and software in 2003. Havens served as the lead designer for the Private Party expansion pack for the 2005 video game Playboy: The Mansion published by Cyberlore. Under his leadership, the development team introduced additional features like organizing theme parties and new customization options for the player's Playboy mansion. While the base game's animations were gender-specific and lacked the ability to depict same-sex romantic interactions like partner dances between male characters, Havens pushed for the inclusion of content which would allow players to simulate gameplay interactions coded as LGBT in theme; he believed that it would be "philosophically" appropriate for the Playboy license and the company to allow players to experience living a "larger variety of fantasies".
By 2006, Havens moved onto 1st Playable Productions, a company which specialized in educational video games, where he worked as lead designer on the 2007 video game Disney Princess: Magical Jewels. Havens later worked for the EA division Maxis as an associate designer on the 2008 video game Spore as well as its spin-off title Spore Creatures. Havens worked for Google during the early 2010's; as YouTube Product Manager, he was involved in the development and redesign of the online video sharing and social media platform YouTube as "YouTube One Channel". On March 7, 2013, Havens announced its open access to the public on the YouTube Official Blog, and that it was ready for all channels to upgrade to the new YouTube One Channel design as an option.
Havens designed a number of party games throughout his career, such as the 2007 board game Mother Sheep published by Playroom Entertainment, the 2010 tile-laying game Burrows published by Z-Man Games, and the 2018 card game You Don't Know My Life! (YDKML) which he co-developed with journalist Dennis Hensley. Havens developed the concept of Escape Jam, where participants team up to design and test a 25-minute escape room in one day, in a manner similar to a typical game jam session. Havens created and designed the 2021 board game Uk'otoa, the first official game published by Darrington Press, the board and card game imprint of the web series Critical Role.
As a musician |
https://en.wikipedia.org/wiki/E-graph | In computer science, an e-graph is a data structure that stores an equivalence relation over terms of some language.
Definition and operations
Let be a set of uninterpreted functions, where is the subset of consisting of functions of arity . Let be a countable set of opaque identifiers that may be compared for equality, called e-class IDs. The application of to e-class IDs is denoted and called an e-node.
The e-graph then represents equivalence classes of e-nodes, using the following data structures:
A union-find structure representing equivalence classes of e-class IDs, with the usual operations , and . An e-class ID is canonical if ; an e-node is canonical if each is canonical ( in ).
An association of e-class IDs with sets of e-nodes, called e-classes. This consists of
a hashcons (i.e. a mapping) from canonical e-nodes to e-class IDs, and
an e-class map that maps e-class IDs to e-classes, such that maps equivalent IDs to the same set of e-nodes:
Invariants
In addition to the above structure, a valid e-graph conforms to several data structure invariants. Two e-nodes are equivalent if they are in the same e-class. The congruence invariant states that an e-graph must ensure that equivalence is closed under congruence, where two e-nodes are congruent when . The hashcons invariant states that the hashcons maps canonical e-nodes to their e-class ID.
Operations
E-graphs expose wrappers around the , , and operations from the union-find that preserve the e-graph invariants. The last operation, e-matching, is described below.
E-matching
Let be a set of variables and let be the smallest set that includes the 0-arity function symbols (also called constants), includes the variables, and is closed under application of the function symbols. In other words, is the smallest set such that , , and when and , then . A term containing variables is called a pattern, a term without variables is called ground.
An e-graph represents a ground term if one of its e-classes represents . An e-class represents if some e-node does. An e-node represents a term if and each e-class represents the term ( in ).
e-matching is an operation that takes a pattern and an e-graph , and yields all pairs where is a substitution mapping the variables in to e-class IDs and is an e-class ID such that each term is represented by . There are several known algorithms for e-matching, the relational e-matching algorithm is based on worst-case optimal joins and is worst-case optimal.
Equality saturation
Equality saturation is a technique for building optimizing compilers using e-graphs. It operates by applying a set of rewrites using e-matching until the e-graph is saturated, a timeout is reached, an e-graph size limit is reached, a fixed number of iterations is exceeded, or some other halting condition is reached. After rewriting, an optimal term is extracted from the e-graph according to some cost function, usually related to AST size or |
https://en.wikipedia.org/wiki/Lorraine%20Remer | Lorraine Remer is research professor at University of Maryland, Baltimore County known for her work on developing algorithms to study aerosol particles using satellites with a particular focus on how aerosols impact climate processes.
Education and career
Remer has a B.S. in Atmospheric Science from the University of California Davis (1980), an M.S. in Oceanography from Scripps Institution of Oceanography, University of California, San Diego (1983), and a Ph.D. in Atmospheric Science from University of California Davis (1991).
Starting in 1991, she worked for Science Systems and Applications, Inc. as a support scientist at the National Aeronautics and Space Agency (NASA). From 1998 to 2012, she worked at NASA's Goddard Space Flight Center. In 2012, she moved to the University of Maryland, Baltimore Country where she became a research professor in the Joint Center for Earth Systems Technology.
She co-founded AirPhoton, a company whose work includes measuring particles in the atmosphere, and she currently serves as the company's Chief Science Officer. AirPhoton's work includes characterizing the particles found in pollution from a space-based platform.
Research
As a child, Remer was interested in the sea and maritime studies, and as she grew older she sought out "environmental science that was hard science" which led her to atmospheric sciences.
Remer's research involves tracking dust in the air using space-based platforms and quantifies how aerosols alter climate conditions. While at NASA, Remer worked on the algorithms needed to understand aerosol particles using the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors that are part of the payload on the Terra and Aqua satellites. Remer's research includes work on smoke, dust, aerosol particles over Atlantic Ocean and smoke and clouds in the Amazon River area. Remer has also been involved in research quantifying the balance of pollution from US-based sites relative to other geographical regions.
Selected publications
Awards and honors
June Bacon-Bercey Scholarship for Women in Atmospheric Sciences (1986)
Thomson Reuters Highly Cited Researchers list (2014)
Fellow, American Geophysical Union (2015)
Faculty Excellence Award, University of Maryland, Baltimore County (2019)
Reference section
External links
Fellows of the American Geophysical Union
University of California, Davis alumni
University of California, San Diego alumni
University of Maryland, Baltimore County faculty
Space scientists
Aerosol scientists
Living people
Year of birth missing (living people) |
https://en.wikipedia.org/wiki/Space%20Operations%20Squadron%20%28JASDF%29 | is a Japan Air and Space Self-Defense Force unit based at Fuchu Air Base in Fuchu, Tokyo. It is responsible for the JASDF's space domain awareness capability, integrating surveillance data from a sensor near Sanyo-Onoda in Yamaguchi Prefecture, along with data supplied by JAXA and the United States Space Force. The unit also conducts satellite navigation and satellite communications for other military units.
History
The former Space Operations Squadron was established in 18 May 2020 in a ceremony held by the Japanese Ministry of Defense with 20 JASDF personnel. , the SOS have around 150 personnel.
On March 17, 2022, the "Space Operations Group" was newly established, and the "Space Operations Command Center Operation Squadron" was newly established.
On March 16, 2023, the Space Operations Squadron was reorganized into the "1st Space Operations Squadron." In addition, the "Space Systems Management Squadron" and "2nd Space Operations Squadron" were newly established.
Organization
Space Operations Group Headquarters
Space Operations Command Center Operation Squadron
1st Space Operations Squadron
2nd Space Operations Squadron
Space system management Squadron
See also
Space Delta 2
Space Delta 8
References
Units of the Japan Air Self-Defense Force
Space units and formations |
https://en.wikipedia.org/wiki/Waldemar%20W.%20Koczkodaj | Waldemar Koczkodaj (born June 7, 1951 in Lubartów, Poland), is a Polish-Canadian computer scientist specialized in expert systems, assessments by pairwise comparisons method, inconsistency theory, bioinformatics, rating scale improvement, and behavioral addiction. He is known for the introduction of the inconsistency indicator (known as Kii) for pairwise comparisons. He proposed axiomatization for the inconsistency indicator in 2014 (published with Ryszard Szwarc and enhanced it in 2018 (published with Roman Urban).
Biography
Waldemar Koczkodaj graduated from the Warsaw University of Technology in 1975. Koczkodaj received the doctoral degree in 1980, from the Institute of Computer Science, Polish Academy of Sciences for the connection of rough sets to databases, under supervision of Victor W. Marek.
Since 1985, he has been working at Laurentian University in Canada.
He collaborates with numerous research centres, in Canada, Poland, United States, China, Great Britain, France, Hungary, Turkey, Kuwait, Saudi Arabia, and Australia. Koczkodaj proposed an automatic data-driven method for the reduction of rating scales.
In 2018, he coordinated a research effort to analyze health record breaches, based on data posted by U.S. Department of Health and Human Services Office for Civil Rights. The total number of individuals affected (called NIA by the government but they are simply patients) in the health care system was 173,398,820 at the time of publication submission (2017).
Legacy
COVID-19 One Million Cases Early Prediction
He has coordinated a research effort on three continents to predict the day of one million cases of COVID-19 pandemic. One of these research effort members was P.F. Zabrodsky, the Chief Radiologist during the elimination of the consequences of the Chernobyl accident.
Rating Scale Reduction
Koczkodaj has coordinated an international research effort for a rating scale reduction by a data-driven method proposed by him. It is based on the area under the receiver operating characteristic.
Industrial Applications
In partnership with mining officials of the Ontario Ministry of Northern Development and Mines in the 1990s, Koczkodaj oversaw the development of the Abandoned Mines Information System (AMIS). This system became the cornerstone of the Ontario Government’s multi-million dollar/multiyear campaign to deal with the clean-up of abandoned mines throughout the Province. Now into its third decade, AMIS is internationally recognized and available on an interactive government website. Koczkodaj also applied the use of the Pairwise Comparisons Method to create the Abandoned Mine Hazards Rating System (AMHAZ), an expert system for the Ontario Government to prioritize funding for the clean-up and reclamation of abandoned mine sites. This concept was presented at the 10th National Meeting of the American Society of Surface Mining, and Reclamation, Spokane Washington, and again in Jackson Wyoming at the invitation of the Association Aba |
https://en.wikipedia.org/wiki/Ashton-under-Lyne%20tramway%20network | The history of trams in Ashton-under-Lyne date back to 1878, through the Manchester Carriage & Tramways Company. These trams were horse-drawn trams and began operation in 1881, between Stalybridge & Ashton-under-Lyne. The route began at Stalybridge's town hall, stopping at Ashton-Under-Lyne and terminating at the Snipe Inn at Ashton-Under-Lyne/Audenshaw boundary line. The Stalybridge, Hyde, Mossley & Dukinfield Tramways & Electricity Board provided tram operations in the wider Tameside region.
Electric trams in Tameside
In 1896, plans were made to introduce zero emission electric trams by the British Electric Traction Company Ltd. This was through the legislative instrument of the Tramway Order of 1896. In the following year of 1897, the Oldham, Ashton and Hyde and District Tramway Company was established to facilitate electric trams across these regions. In 1899, the first electric tram service was operational from the Oldham, Ashton and Hyde and District Tramway Company. One of the routes, operated between Ashton-Under-Lyne - Hyde - Denton.
Archive footage from the British Film Institute in 1901, shows one of the electric trams, alighting at Ashton-Under-Lyne, through a route of Ashton-Under-Lyne - Denton - Hyde.
Split from the SHMD Board
In 1899, representatives across the towns of Ashton-Under-Lyne, Stalybridge, Hyde, Mossley and Dukinfield, held discussions to create an integrated tram system across the five regions. These discussions were unsuccessful. Subsequently, four of the regions, Stalybridge, Hyde, Mossley and Dukinfield, formed the Stalybridge, Hyde, Mossley & Dukinfield Tramways & Electricity Board. Ashton-Under-Lyne decided to form separately its own tram system, through the Ashton-under-Lyne Corporation. This was facilitated by local legislative powers through the Ashton-under-Lyne Corporation Tramways Order and the Hurst UDC Tramways Order.
Establishment of the Ashton-Under-Lyne Corporation
The first route by the Ashton-Under-Lyne Corporation began in 1902 between Ashton-under-Lyne and Hurst. This began in the centre of Ashton-Under-Lyne at Market Hall, travelling North through Henrietta Street, Canterbury Street, Union Road, Kings Road, Alderley St to reach Hurst Cross, and travelling South through Queen Road, where the tram would take one of the options to return to Market Hall. The first would be through Whiteacre Road returning to the Market Hall. The second, much longer option, travels the full length Queens Road, and travels through Mossley Road to return to Market Hall, Ashton-Under-Lyne. One of the routes is outlined at
Tram maintenance depot
A maintenance depot for the electric trams was created in 1902, on Mossley Road in Ashton-Under-Lyne for the repair and maintenance on the electric trams. This building was later repurposed for electric trolleybuses and then repurposed into business offices for present day use. The original signage for the electric tram depot is still visible on the top front facing edge of one |
https://en.wikipedia.org/wiki/Geetha%20Manjunath | Geetha Manjunath is an Indian entrepreneur and computer scientist. She is the founder and CEO of NIRAMAI Health Analytix, a Bengaluru based start-up that provides non-invasive, radiation free breast cancer screening through AI.
Education
Raised in Bengaluru, Manjunath got her Bachelor's in Computer Science, and got her Master's from IISc in Computer Science. She holds a management education from Kellogg School of Management, Chicago and a PhD from IISc in AI and Data Mining.
Career
Manjunath got her first job at the Centre for Development of Advanced Computing, where she helped develop as a part of the team, the first Indian commercial supercomputer in the 1990s. Just out of college, she was inducted into the integration team, only to get bored within a year and was contemplating quitting. That's when she was transferred to the research wing.
She then joined Hewlett-Packard Laboratories as a Principal Research Scientist where she worked for 17 years, and later worked as the Lab Director leading Data Analytics Research at Xerox India.
In 2016, she became an entrepreneur by establishing her start-up NIRAMAI along with Nidhi Mathur. NIRAMAI, which stands for “Non-Invasive Risk Assessment with Machine Intelligence”, uses the portable technology called Thermalytix using machine intelligence over thermography images to detect breast cancer. NIRAMAI's technology for detecting early stage breast cancer utilises non-touch and non-invasive breast cancer screening using Machine Learning and AI. The company has raised around $7 Million in funding with few of its main investors being Pi Ventures, Ankur Capital, Fund Dream Incubator and Beenext. The advantage this would have over previously used methods such as mammography, is that the technology developed by NIRAMAI could detect breast cancer in women under the age of 45 as well unlike mammography.
The start-up announced in 2019, that it would leverage Thermalytix in detecting the presence of parasitic worm that causes river blindness, a project that is being also funded by the Bill and Melinda Gates Foundation. She was initially part of the integration team, but got bored within a year and was contemplating quitting. That's when she was inducted into the research wing.
In 2020, amid the Covid-19 crisis, the health tech start-up also came up with solutions that use Thermalytix to detect fever and respiratory diseases to possibly detect Covid-19 infected people. In March 2020, this was pilot tested at a biotechnology company.
In 2021, through NIRAMAI, Manjunath collaborated with Non-profit organization Artpark CEO Umakant Soni and IISc to come up with X-RaySetu. It is an AI-based program that runs on the app WhatsApp to help detect Covid-19 in areas where CT scans and RT-PCR tests aren't available.
Manjunath co-authored the book "Moving to the Cloud" with Sitaram, on cloud technologies published by Elsvier Syngress.
She is the former chair of IEEE Computer Society, Bangalore Chapter.
Awards and |
https://en.wikipedia.org/wiki/Executive%20Order%2013694 | Executive Order 13694, signed on April 1, 2015 by U.S. President Barack Obama, is an Executive Order intended limit the proliferation of malicious cyber activities. The order seeks to accomplish this by limiting threats to U.S. national security through the use of economic sanctions via the Specially Designated Nationals and Blocked Persons List (SDN List) as maintained by the Department of the Treasury's Office of Foreign Assets Control.
The executive order was titled Blocking the Property of Certain Persons Engaging in Significant Malicious Cyber-Enabled Activities, declaring a national emergency to address an extant threat to national security, foreign policy, and the economy of the United States.
It was amended by Executive Order 13757: Taking Additional Steps to Address the National Emergency with Respect to Significant Malicious Cyber-Enabled Activities, which was signed on December 28, 2016 by President Obama. This amended Executive Order 13694 to include interference in U.S. elections as a potential cause for economic sanctions.
Executive Order 13694 by Section
Notable Sanctions Under E.O. 13694
See also
Office of Foreign Assets Control
Specially Designated Nationals and Blocked Persons List
Economic Sanctions
International Emergency Economic Powers Act
National Emergencies Act
Immigration and Nationality Act of 1952
United States Code
References
Executive orders of Barack Obama |
https://en.wikipedia.org/wiki/Knowledge%20graph%20embedding | In representation learning, knowledge graph embedding (KGE), also referred to as knowledge representation learning (KRL), or multi-relation learning, is a machine learning task of learning a low-dimensional representation of a knowledge graph's entities and relations while preserving their semantic meaning. Leveraging their embedded representation, knowledge graphs (KGs) can be used for various applications such as link prediction, triple classification, entity recognition, clustering, and relation extraction.
Definition
A knowledge graph is a collection of entities , relations , and facts . A fact is a triple that denotes a link between the head and the tail of the triple. Another notation that is often used in the literature to represent a triple (or fact) is . This notation is called resource description framework (RDF). A knowledge graph represents the knowledge related to a specific domain; leveraging this structured representation, it is possible to infer a piece of new knowledge from it after some refinement steps. However, nowadays, people have to deal with the sparsity of data and the computational inefficiency to use them in a real-world application.
The embedding of a knowledge graph translates each entity and relation of a knowledge graph, into a vector of a given dimension , called embedding dimension. In the general case, we can have different embedding dimensions for the entities and the relations . The collection of embedding vectors for all the entities and relations in the knowledge graph can then be used for downstream tasks.
A knowledge graph embedding is characterized by four different aspects:
Representation space: The low-dimensional space in which the entities and relations are represented.
Scoring function: A measure of the goodness of a triple embedded representation.
Encoding models: The modality in which the embedded representation of the entities and relations interact with each other.
Additional information: Any additional information coming from the knowledge graph that can enrich the embedded representation. Usually, an ad hoc scoring function is integrated into the general scoring function for each additional information.
Embedding procedure
All the different knowledge graph embedding models follow roughly the same procedure to learn the semantic meaning of the facts. First of all, to learn an embedded representation of a knowledge graph, the embedding vectors of the entities and relations are initialized to random values. Then, starting from a training set until a stop condition is reached, the algorithm continuously optimizes the embeddings. Usually, the stop condition is given by the overfitting over the training set. For each iteration, is sampled a batch of size from the training set, and for each triple of the batch is sampled a random corrupted facti.e., a triple that does not represent a true fact in the knowledge graph. The corruption of a triple involves substituting the head or the ta |
https://en.wikipedia.org/wiki/Physics-informed%20neural%20networks | Physics-informed neural networks (PINNs) are a type of universal function approximators that can embed the knowledge of any physical laws that govern a given data-set in the learning process, and can be described by partial differential equations (PDEs). They overcome the low data availability of some biological and engineering systems that makes most state-of-the-art machine learning techniques lack robustness, rendering them ineffective in these scenarios. The prior knowledge of general physical laws acts in the training of neural networks (NNs) as a regularization agent that limits the space of admissible solutions, increasing the correctness of the function approximation. This way, embedding this prior information into a neural network results in enhancing the information content of the available data, facilitating the learning algorithm to capture the right solution and to generalize well even with a low amount of training examples.
Function approximation
Most of the physical laws that govern the dynamics of a system can be described by partial differential equations. For example, the Navier–Stokes equations are a set of partial differential equations derived from the conservation laws (i.e., conservation of mass, momentum, and energy) that govern fluid mechanics. The solution of the Navier–Stokes equations with appropriate initial and boundary conditions allows the quantification of flow dynamics in a precisely defined geometry. However, these equations cannot be solved exactly and therefore numerical methods must be used (such as finite differences, finite elements and finite volumes). In this setting, these governing equations must be solved while accounting for prior assumptions, linearization, and adequate time and space discretization.
Recently, solving the governing partial differential equations of physical phenomena using deep learning has emerged as a new field of scientific machine learning (SciML), leveraging the universal approximation and high expressivity of neural networks. In general, deep neural networks could approximate any high-dimensional function given that sufficient training data are supplied. However, such networks do not consider the physical characteristics underlying the problem, and the level of approximation accuracy provided by them is still heavily dependent on careful specifications of the problem geometry as well as the initial and boundary conditions. Without this preliminary information, the solution is not unique and may lose physical correctness. On the other hand, physics-informed neural networks (PINNs) leverage governing physical equations in neural network training. Namely, PINNs are designed to be trained to satisfy the given training data as well as the imposed governing equations. In this fashion, a neural network can be guided with training data that do not necessarily need to be large and complete. Potentially, an accurate solution of partial differential equations can be found without know |
https://en.wikipedia.org/wiki/Digital%20twin%20integration%20level | The Digital twin integration level refers to the different degrees of data and information flow that may occur between the physical part and the digital copy of a digital twin. According to the different levels of integration, the digital twin can be divided into three subcategories: Digital Model (DM), Digital Shadow (DS) and Digital Twin (DT).
Digital Twin definitions
The concept of Digital Twin is now increasingly widespread and it is one of the greatest examples of digital transformation not only in the manufacturing sector but also in the construction, healthcare and automotive area.
Digital Twin definitions vary and take on different shades depending on the analysed context. Although the literature provides a common view of the digital twin as a digital copy of a physical element, several definitions lead the concept of digital twin to be subjected to different interpretations and misconceptions. For example, some authors use the concept of Digital Models (e.g., 3D models) and digital twin indistinctly considering them as interchangeable. However, a significant difference between digital twin and digital 3D models and systems exists and can be outlined based on different level of data integration and information exchange.
Level of integration
Data are among the most significant elements of a digital twin. Following the approach of Michael Grieves, the digital twin concept model is composed by three main parts: physical object, virtual or digital object and data that provide the connection between the physical and the digital. The physical collects and stores real time data that are sent to digital copy for processing. Vice versa, the digital applies its imbedded engineering models and AI subjecting data to transformations and processing information.
Depending on the different degree of data integration, a classification of the digital twin into three subcategories was proposed:
Digital Model (DM),
Digital Shadow (DS),
Digital Twin (DT).
The digital twin is characterised by a bi-directional data flow between the digital and the physical. If digital representations do not enable bi-directional automatic data exchange, are modelled manually and have not a direct connection with the physical object, these cannot be a digital twin but rather a digital model or a digital shadow.
Digital Model
A digital model has the lowest level of data integration. The term indicates a digital representation of an existing and physical object characterised by the absence of automated data flow between the physical and digital object. This suggests that the data flow from a physical object to a digital object and vice versa is provided manually. Consequently, any change occurred in the physical element does not impact the digital element and at the same way any modification of the digital element does not affect the physical element.
A digital model ranges from the simple building component to the whole building considering the construction sector. |
https://en.wikipedia.org/wiki/TEA1002 | The TEA1002 is a PAL video encoder chip produced by Mullard in 1982 and used on the Mattel Aquarius computer and AlphaTantel Prestel adapter.
It was also used on teletext decoders and color bar generators associated with video test equipment.
The chip is capable of displaying 40 × 24 text blocks with 8 × 8 pixel characters, corresponding a theoretical resolution of 320 × 192 pixels (within borders), with the character set allowing for a 80 × 72 semigraphics display.
It generates 16 colors based on Luminance, Chrominance and Saturation, usually with the 8 basic colors being similar to the EBU 75% color bars.
Levels
According to the TEA1002 datasheet, colors are formed by the combination of three signals, roughly equivalent to the HSL colorspace:
Luminance
Chroma angle (º)
Chroma percentage (%, equivalent to Saturation)
Internally colors are stored in a 4-bit RGBI arrangement. There are three bits for the RGB components (generating 8 primary colors at full saturation but 75% luminance - similar to the EBU colour bars) and an inverter logic input bit that controls a variation of the base color (a 75% Luminance decrease for white; a 50% Chroma saturation decrease for all colors).
The following table lists the internal signals and shows an approximation of the generated colors, as seen on a web standard sRGB monitor. Colors could be different when seen on an analog PAL CRT television.
An alternate configuration of the chip allows it to output 95% luminance color bars - similar to BBC colour bars, more suited for usage in teletext decoders.
See also
Thomson EF9345
Motorola 6845
TMS9918
MOS Technology VIC-II
List of home computers by video hardware
References
Graphics chips |
https://en.wikipedia.org/wiki/Adil%20Zainulbhai | Adil Zainulbhai is the chairman of Network18 Group, the mass media subsidiary of the conglomerate Reliance Industries. He is also the chairman of Quality Council of India (QCI) since 2014, and has been appointed as the chairman of the Capacity Building Commission (CBC), a commission set up by the government for its "Mission Karmayogi" project. Zainulbhai sits on the boards of Reliance Industries, Larsen & Toubro and Cipla as independent director, and is a member of the Washington, D.C based US-India Strategic Partnership Forum.
Zainulbhai graduated from IIT Bombay with a degree in mechanical engineering, and attended the Harvard Business School for a post-graduate degree in management. He has been granted a position in the advisory board for the Indian Institutes of Technology and is the president of Harvard Business School alumni association in India. Zainulbhai joined McKinsey & Company in 1979 in the United States where he headed the company's Washington office and initiated its Minneapolis office. In 2004, he returned to India after being appointed as the chairman of McKinsey India. In the company, he was closely associated with and was the protégé of Rajat Gupta, the first foreign born head of the company. Zainulbhai resigned from McKinsey in 2012.
References
Living people
Indian chairpersons of corporations
IIT Bombay alumni
Harvard Business School alumni
Year of birth missing (living people) |
https://en.wikipedia.org/wiki/Wu%20Dao | Wu Dao () is a multimodal artificial intelligence developed by the Beijing Academy of Artificial Intelligence (BAAI). Wu Dao 1.0 was first announced on January 11, 2021; an improved version, Wu Dao 2.0, was announced on May 31. It has been compared to GPT-3, and is built on a similar architecture; in comparison, GPT-3 has 175 billion parameters — variables and inputs within the machine learning model — while Wu Dao has 1.75 trillion parameters. Wu Dao was trained on 4.9 terabytes of images and texts (which included 1.2 terabytes of Chinese text and 1.2 terabytes of English text), while GPT-3 was trained on 45 terabytes of text data. Yet, a growing body of work highlights the importance of increasing both data and parameters. The chairman of BAAI said that Wu Dao was an attempt to "create the biggest, most powerful AI model possible"; although direct comparisons between models based on parameter count (i.e. between Wu Dao and GPT-3) do not directly correlate to quality. Wu Dao 2.0, was called "the biggest language A.I. system yet". It was interpreted by commenters as an attempt to "compete with the United States".. Notably, the type of architecture used for Wu Dao 2.0 is a mixture-of-experts (MoE) model, unlike GPT-3, which is a "dense" model: while MoE models require much less computational power to train than dense models with the same numbers of parameters, trillion-parameter MoE models have shown comparable performance to models that are hundreds of times smaller.
Wu Dao's creators demonstrated its ability to perform natural language processing and image recognition, in addition to generation of text and images. The model can not only write essays, poems and couplets in traditional Chinese, it can both generate alt text based on a static image and generate nearly photorealistic images based on natural language descriptions. Wu Dao also showed off its ability to power virtual idols (with a little help from Microsoft-spinoff Xiaoice) and predict the 3D structures of proteins like AlphaFold.
History
Wu Dao's development began in October 2020, several months after the May 2020 release of GPT-3. The first iteration of the model, Wu Dao 1.0, "initiated large-scale research projects" via four related models.
Wu Dao – Wen Yuan, a 2.6-billion-parameter pretrained language model, was designed for tasks like open-domain answering, sentiment analysis, and grammar correction.
Wu Dao – Wen Lan, a 1-billion-parameter multimodal graphic model, was trained on 50 million image pairs to perform image captioning.
Wu Dao – Wen Hui, an 11.3-billion-parameter generative language model, was designed for "essential problems in general artificial intelligence from a cognitive perspective"; Synced says that it can "generate poetry, make videos, draw pictures, retrieve text, perform complex reasoning, etc".
Wu Dao – Wen Su, based on Google's BERT language model and trained on the 100-gigabyte UNIPARC database (as well as thousands of gene sequences), was designed |
https://en.wikipedia.org/wiki/Mutisieae | Mutisieae is a tribe of the family Asteraceae, subfamily Mutisioideae.
Genera
Mutisieae genera recognized by the Global Compositae Database as of June 2022:
Adenocaulon
Amblysperma
Brachyclados
Chaetanthera
Chaptalia
Chucoa
Cyclolepis
Eriachaenium
Gerbera
Leibnitzia
Lulia
Moscharia
Mutisia
Pachylaena
Panphalea
Perdicium
Trichocline
Uechtritzia
References
Asteraceae tribes |
https://en.wikipedia.org/wiki/Cyberpeace%20Foundation | Cyberpeace Foundation is an Indian nonpartisan, Nonprofit organization of Cyber Security that works to build Resilience against Cyberattack and crimes. CPF closely works with several national and state governments, United Nations and Educational Institutions worldwide.
The Organization is registered with NITI Aayog and the member of UN Global Compact Network India.
History and Notable Cases
Cyberpeace Foundation was established in 2005 by Vineet Kumar, a former Chief Technical Officer of Jharkhand Police. CPF was registered as a Society under the Societies Registration Act, 1860 in 2013. The organization was formed with the vision of pioneering cyber peace initiatives to build collective resilience against cybercrime and global threats of cyber warfare.
From its beginning in 2013, CPF rallied tremendous support from several patrons and advisors and slowly grew in size and scale in the following years.
In January 2015, Cyberpeace Foundation collaborated with Gujarat Technological University launched e-Raksha Research Centre to fight cyber crime with the goal of establishing a peaceful cyber space.
The foundation was associated with UNICEF for cyber bullying and online child safety specially during the COVID-19 pandemic.
In July 2019, Cyberpeace Foundation and Data Security Council of India with the support of Google, complete a capacity building initiative for law enforcement officers on cyber crime investigations.
In 2017, the foundation helped national Government to protect Aadhaar details of Individuals specially when sudden cases of Aadhaar Information leak increased in Jharkhand.
CPF has also initiated the first ever platform dedicated to Cyber Diplomacy issues across the world which brings to the forefront evidence-rich narratives and opinions from experts.
Cyberpeace Foundation works towards Internet Governance and Cyber Security and also involved in Policy advocacy, Research and training related to all aspects of Cyber peace and cyber security.
In December 2018, The Digital Shakti campaign was launched by Cyberpeace Foundation in collaboration with Facebook and National Commission for Women. It was for raising awareness among young women about online resilience and safety. The Cyberpeace Foundation's team interacted with 60,000 women across six states in India. On Feb 2020, CPF launched the second phase of Digital Shakti Campaign with an aim to train 1, 10, 000 women across the nation.
In August 2019, OLX partnered with Cyberpeace Foundation for safe internet practices.
In January 2020, the Cyberpeace Foundation and the National Crime Records Bureau together have designed CCTNS Hackathon and Cyber Challenge 2020 with the aim to enhance skills and knowledge of law enforcement individuals at ground level.
On Feb 2020, Facebook launched ‘We Think Digital’, a literacy programme for women in Uttar Pradesh, India in collaboration with NCW and Cyberpeace Foundation.
Cyberpeace Foundation, in collaboration with NCERT and UNESCO, NEW |
https://en.wikipedia.org/wiki/RSS%20Guard | RSS Guard is a free and open-source news aggregator for web feeds and podcasts. It is written in C++ and uses Qt, which allows it to fit with the look and feel of different operating systems while remaining cross-platform. It includes a file downloader, advanced network proxy configuration, and supports external media viewing tools.
RSS Guard is released under the GPL-3.0-only license and is available for Windows, macOS, OS/2 and various Linux distributions.
Features
Supported formats
The feed formats supported by RSS Guard are RSS/RDF, Atom, and JSON Feed.
RSS Guard can synchronize data with online feed services Tiny Tiny RSS, Nextcloud News, Feedly, Inoreader, feed readers which use Google Reader's API such as FreshRSS, The Old Reader, and Bazqux. The application may also act as a simple e-mail client for Gmail.
Other features
RSS Guard can mark articles as read, unread, and important. Both article and feed lists can be filtered using regular expressions.
Time intervals for fetching feeds are configurable, and, through feed settings, they can be adjusted for each feed separately.
Scriptable article filtering and website scraping
RSS Guard is bundled with JavaScript engine which is used to write article filters - small scripts which define how the application should react when new article is downloaded.
RSS Guard also provides unified way of executing custom programs, which gives another way to modify raw feed data or even generate it, scraping the data from websites that do not offer a regular feed.
User interface
The application's toolbar and status bar are highly customizable. They can also be hidden, making RSS Guard look very minimalistic. When in a horizontal layout, the articles viewer of RSS Guard is placed to the right side of the articles list.
RSS Guard supports skins. Light and dark skins are available by default.
Database
Feed data can be stored using SQLite or MariaDB. RSS Guard also supports the ability to import and export the database file and settings configuration to/from OPML 2.0.
Recycle bin
RSS Guard has its own recycle bin to prevent the accidental loss of saved articles. After emptying the recycle bin, removed articles will not appear in the list even after fetching. The actual deletion of articles, along with their cache, from the database should be done with the built-in database cleaning tool.
Versions
RSS Guard offers two different versions:
Standard version with embedded web viewer and a web browser for accessing content
Lightweight version with simple text-based viewer
Localizations
RSS Guard has been translated into many languages: Chinese (Simplified), Chinese (Traditional), Czech, Danish, Dutch, English, Finnish, French, Galician, German, Indonesian, Italian, Japanese, Lithuanian, Polish, Portuguese, Russian, Spanish, Swedish and Ukrainian.
See also
Comparison of feed aggregators
References
Atom (Web standard)
Free news aggregators
Software that uses Qt
Cross-platform software
|
https://en.wikipedia.org/wiki/Windows%2011 | Windows 11 is the latest major release of Microsoft's Windows NT operating system, released on October 5, 2021. It succeeded Windows 10 (2015) and is available for free for any Windows 10 devices that meet the new Windows 11 system requirements.
Windows 11 features major changes to the Windows shell influenced by the canceled Windows 10X, including a redesigned Start menu, the replacement of its "live tiles" with a separate "Widgets" panel on the taskbar, the ability to create tiled sets of windows that can be minimized and restored from the taskbar as a group, and new gaming technologies inherited from Xbox Series X and Series S such as Auto HDR and DirectStorage on compatible hardware. Internet Explorer (IE) has been replaced by the Chromium-based Microsoft Edge as the default web browser, like its predecessor, Windows 10, and Microsoft Teams is integrated into the Windows shell. Microsoft also announced plans to allow more flexibility in software that can be distributed via the Microsoft Store and to support Android apps on Windows 11 (including a partnership with Amazon to make its app store available for the function).
Citing security considerations, the system requirements for Windows 11 were increased over Windows 10. Microsoft only officially supports the operating system on devices using an eighth-generation Intel Core CPU or newer (with some minor exceptions), a second-generation AMD Ryzen CPU or newer, or a Qualcomm Snapdragon 850 ARM system-on-chip or newer, with UEFI and Trusted Platform Module (TPM) 2.0 supported and enabled (although Microsoft may provide exceptions to the TPM 2.0 requirement for OEMs). While the OS can be installed on unsupported processors, Microsoft does not guarantee the availability of updates. Windows 11 removed support for 32-bit x86 and 32-bit ARM CPUs and devices that use BIOS firmware.
Windows 11 has received a mostly positive reception. Pre-release coverage of the operating system focused on its stricter hardware requirements, with discussions over whether they were legitimately intended to improve the security of Windows or as a ploy to upsell customers to newer devices and over the e-waste associated with the changes. Upon release, it was praised for its improved visual design, window management, and stronger focus on security, but was criticized for various modifications to aspects of its user interface that were seen as worse than its predecessor; some were seen as an attempt to dissuade users from switching to competing applications.
, Windows 11, at 24.42% worldwide, is the second most popular Windows version in use, with its predecessor Windows 10 at three times the market share. Windows 11 has an estimated 16.62% share of all PCs (the rest being other Windows editions and other operating systems such as macOS and Linux), and an estimated 7.54% share of all devices (including mobile, tablet and console) are running Windows 11.
Development
At the 2015 Ignite conference, Microsoft employee Je |
https://en.wikipedia.org/wiki/Higher%20Speed%20PON | Higher Speed PON (also known as G.9804, HSP) is a family of ITU-T recommendations (computer networking standards) for data links, capable of delivering shared Internet access rates up to 50 Gbit/s (gigabits per second, Gbps). Higher Speed PON is the first PON system to use digital signal processing, succeeding both single-channel XGS-PON and multi-channel NG-PON2. It provides upgrade paths for legacy PON generations such as GPON, XG-PON, XGS-PON, and 10G-EPON.
Development
Following the publication of 40 Gbps NG-PON2 in July 2015, standardization activities turned to higher speed PON. In November 2016, the Full Service Access Network (FSAN) Group released the Standards Roadmap 2.0 which indicated the development of "future optical access systems" with peak transmission rates above 10 Gbps.
Concurrently, ITU-T Study Group 15 launched the G.sup.HSP project to study higher speed PON technologies, culminating in the publication of ITU-T G.sup.64 (G.sup.HSP) in February 2018. Among possible nominal line rates of 20, 25, 50, and 100 Gbps per wavelength, the January 2018 Study Group 15 Plenary Meeting selected 50 Gbps as the next generation after 10 Gbps to provide a sufficiently large increment to network capacity while remaining technically feasible for network operators.
The G.9804 standard series was established and intended to consist of four main recommendations. Recommendations G.9804.1 and G.9804.2 apply to all HSP systems, whereas G.9804.3 concerns physical medium dependent layer specifications for 50 Gbps PON (50G-PON) systems only. Another recommendation, G.hsp.TWDMPMD, is under study in conjunction with IEEE working group P802.3.
Standards
G.9804.1
G.9804.1 (G.hsp.req): Higher speed passive optical networks - Requirements serves as a guide for the development of higher speed PON systems by providing examples of "services, user network interfaces, and service node interfaces" required for higher speed networks, such as higher speed single channel (TDMA-PON), higher speed multichannel (TWDM-PON), and higher speed point-to-point overlay PONs. It provides requirements for backwards compatibility with the G.9807.x series covering GPON, XG(S)-PON, and 10G-EPON systems. The standard achieved consent in July 2019, was approved in November 2019, and was amended in August 2021.
G.9804.2
G.9804.2 (G.hsp.comTC): Higher speed passive optical networks - Common transmission convergence layer specification defines the frame format and media access control method for exchange between optical line terminals (OLTs) and optical network units (ONUs) in higher speed networks. It is intended to support a variety of physical medium dependent (PMD) sublayers in all high speed PON systems and be future-proof. It was approved in September 2021.
G.9804.3
G.9804.3 (G.hsp.50Gpmd): 50-Gigabit-capable passive optical networks (50G-PON) - Physical media dependent (PMD) layer specification sets standards for the PMD sublayer of a 50 Gbps single-channel PON system ( |
https://en.wikipedia.org/wiki/Lissachatina | Lissachatina is a genus of air-breathing tropical land snails, terrestrial pulmonate gastropod mollusks in the subfamily Achatininae of the family Achatinidae.
The molecular data clearly shows that Lissachatina consistently clusters as a monophyletic entity separate from Achatina and Fontanilla stated that there is no basis for continuing to employ Lissachatina as a subgenus of Achatina and that it should be regarded as a genus in its own right.
Species
Lissachatina albopicta (E. A. Smith, 1878)
Lissachatina allisa (L. Reeve, 1849)
Lissachatina bloyeti (Bourguignat, 1890)
Lissachatina capelloi (Furtado, 1886)
Lissachatina eleanorae (Mead, 1995)
Lissachatina fulica (Bowdich, 1822)
Lissachatina glaucina (E. A. Smith, 1899)
Lissachatina glutinosa (L. Pfeiffer, 1854)
Lissachatina immaculata (Lamarck, 1822)
Lissachatina johnstoni (E. A. Smith, 1899)
Lissachatina kilimae (Dautzenberg, 1908)
Lissachatina lactea (L. Reeve, 1842)
Lissachatina loveridgei (Clench & Archer, 1930)
Lissachatina reticulata (L. Pfeiffer, 1845)
Lissachatina zanzibarica (Bourguignat, 1879)
Species brought into synonymy
Lissachatina yalaensis (Germain, 1936): synonym of Oreohomorus connollyi (Odhner, 1932)
References
External links
Bequaert, J. C. (1950). Studies in the Achatininae, a group of African land snails. Bulletin of the Museum of Comparative Zoology. 105(1): 1-216, plates 1-81
Clench, W. J.; Archer, A. F. (1930). New land snails from Tanganyika territory. Occasional Papers of the Boston Society of Natural History. 5: 295-300
Achatinidae |
https://en.wikipedia.org/wiki/Encyclopedia%20of%20War%3A%20Ancient%20Battles | Encyclopedia of War: Ancient Battles is a 1988 video game published by Cases Computer Simulations.
Gameplay
Ancient Battles is a game in which each of the most notable ancient armies and types of weapons are represented.
Reception
Lt. H. E. Dille reviewed the game for Computer Gaming World, and stated that "Ancient Battles is an enjoyable game that will continue to challenge players long after other games have started to gather dust on the shelf. The subject matter is a refreshing change of pace for experienced wargamers, but remains basic enough for budding enthusiasts to master."
Reviews
Crash! - Mar, 1989
Your Sinclair - Mar, 1989
Computer Gaming World - Oct, 1990
ACE (Advanced Computer Entertainment) - May, 1989
Amiga Format - Mar, 1991
Amiga Power - May, 1991
References
External links
Review in Sinclair User
1988 video games
Amiga games
Amstrad CPC games
Computer wargames
DOS games
Turn-based strategy video games
Video games developed in the United Kingdom
Video games set in the Roman Empire
ZX Spectrum games |
https://en.wikipedia.org/wiki/Richard%20M.%20Fujimoto | Richard Masao Fujimoto is a computer scientist and researcher in reverse computation, distributed computing, and big data. He is a Regents’ Professor, Emeritus, in the School of Computational Science and Engineering (CSE) at the Georgia Institute of Technology. He was also the founding chair of Georgia Tech's school of CSE. Fujimoto's research has provided the basis for the development of new algorithms and computational techniques for discrete event simulations, including the development of the Georgia Tech Time Warp software, which was adopted for use by MITRE to create a commercial air traffic simulator. Fujimoto also led the development and definition of the time management services in the High Level Architecture (HLA) for modeling and simulation which was standardized under IEEE 1516.
Selected awards
IEEE Fellow, 2020, "For his work in the field of parallel and distributed discrete event simulation"
I/ITSEC Fellow, 2019
ACM Fellow, 2017, "For achievements in modeling and simulations"
References
Living people
Year of birth missing (living people)
American computer scientists
Georgia Tech faculty
Fellows of the Association for Computing Machinery
Fellow Members of the IEEE |
https://en.wikipedia.org/wiki/Ennetcom | Ennetcom was a Netherlands based communications network and service provider.
The company was based in the Netherlands as were most of its customers, but most of the company servers were based in Canada. Danny Manupassa, the company owner, was arrested in 2016 amid allegations that the phones were largely used by criminals. The company had about 19,000 users.
The phones sold for €1,500 each and used company servers for traffic. The devices had been altered so they could not make calls or use the Internet normally.
Canadian authorities seized the servers and passed messages to Dutch authorities. The latter had managed to decrypt 3.6 million messages by 2017, apparently because the key to the messages had been stored on the same servers the messages were on. These messages have led to arrests, including that of Naoufal Fassih. Fassih has been convicted of one charge of murder and one of attempted murder in relation to the murder of Ali Motamed.
See also
ANOM
EncroChat – a network infiltrated by law enforcement to investigate organized crime in Europe
Exclu
Sky Global
References
Anonymity networks
Cyberspace
Dark web
Law enforcement operations
Organized crime in Europe
2016 disestablishments in the Netherlands
Defunct darknet markets |
https://en.wikipedia.org/wiki/Haiyan%20Wang | Haiyan Wang is an American engineer. As the Basil S. Turner Professor of Engineering at Purdue University's School of Materials Engineering and the School of Electrical and Computer Engineering, she is a Fellow of the National Academy of Inventors, American Association for the Advancement of Science, American Ceramic Society, and American Physical Society.
Wang's research focuses on high-temperature superconductors, coated conductors, nanostructured functional ceramics for solid oxide fuel cells, plasmonics and photonics, ferroelectric and multiferroics, radiation tolerance materials, and bulk structural metals and ceramics.
Early life and education
Wang was born and raised in China, where she remained for her Bachelor of Science degree and Master's degree at Nanchang University and Institute of Metal Research. Following this, she enrolled at North Carolina State University in the United States for her PhD. She defended her thesis in 2002 under the supervision of Jagdish Nararyan. Upon completing her doctorate degree, Wang joined the staff at Los Alamos National Laboratory, first as a postdoctoral fellow and later as a technical staff member.
Career
Texas A&M
Upon completing her fellowship, Wang joined the faculty at Texas A&M University as an assistant professor in 2006. During her early years at the institution, she earned an Air Force Young Investigators Research Grant to study nanoengineered YBCO coated conductors for flux pinning enhancements. In 2008, Wang received an Presidential Early Career Award for Scientists and Engineers and another grant for her project Nanoscale Microstructural Characterizations of Multifunctional Ceramic Nanocomposites. By 2011, Wang earned the ASM International Silver Medal Award for her "innovative research at the frontier of nanostructured materials and application, and for exceptional potential in inspired education and future leadership."
Throughout her later tenure at Texas A&M, Wang also worked part-time at the National Science Foundation as a program manager in the Division of Materials Research. In 2014, she was named Fellow of ASM International and one of four recipients of the Edith and Peter O’Donnell Award. The following year, she was named a Fellow of American Association for the Advancement of Science
the American Ceramic Society, and received an AFS Distinguished Achievement Award.
Purdue
Wang left Texas A&M in August 2016 to become the Basil S. Turner Professor of Engineering at Purdue University's School of Materials Engineering and the School of Electrical and Computer Engineering. Upon joining the staff, she was elected a Fellow of the American Physical Society for her "exceptional contributions to the field of physics." A few years later, her "innovative research on multifunctional ceramic nanocomposites, superconductors, solid oxide fuel cells and in situ TEM," earned her an election to the non-profit organization Materials Research Society.
During the COVID-19 pandemic, Wang and her |
https://en.wikipedia.org/wiki/University%20of%20Santo%20Tomas%20System | The University of Santo Tomas System is a network of private schools that belong to the Philippine Dominican Province of the Order of Preachers. The system is an integration of select schools run by the Dominicans. These select schools are the University of Santo Tomas - Manila, University of Santo Tomas - Legazpi (formerly Aquinas University), University of Santo Tomas - General Santos, University of Santo Tomas - Santa Rosa, UST Angelicum College - Quezon City and Angelicum School Iloilo.
The UST System is one of the two educational institution systems of the Dominicans of the Philippine Dominican Province. The other is the Letran System, which has four campuses.
Institutions
The University of Santo Tomas System consists of three existing campuses and two upcoming satellite campuses located in Southern Tagalog and Mindanao. The Manila campus is the main educational institution of the system.
The integration of select Dominican schools was a mandate of the 2012 and 2016 Provincial Chapters of the Philippine Dominican Province. In the 2012 Acts, the integration was planned to facilitate the coordination of the apostolic priorities and sharing of resources of several institutions. In December 2014, the Aquinas University of Legazpi in Albay (AUL), Angelicum College in Quezon City, and Angelicum School Iloilo, signed a memorandum of intent to integrate with UST Manila. The future UST campuses in General Santos and Santa Rosa, Laguna, will also be part of the system. The integration plan was reinforced in the 2016 Acts.
The two existing constituent units are independent campuses. Each campus is headed by a rector. The Rector Magnificus of UST Manila is also the rector of UST Angelicum. Its board of trustees is composed of 12 representatives from UST Manila and three from UST Angelicum. Angelicum College's signature non-graded system of education is retained.
UST-Legazpi has fiscal and administrative independence from the main campus. The rector and board of trustees are also different. The integration of AUL also entailed the renaming of its university hospital to UST-Legazpi Hospital.
In December 2020, the construction of the UST-Dr. Tony Tan Caktiong Innovation Center began in UST Santa Rosa. It is the first building in the campus.
References
1611 establishments in the Philippines
Pontifical universities
Educational institutions established in the 1610s
Research universities in the Philippines
Dominican educational institutions in the Philippines
ASEAN University Network |
https://en.wikipedia.org/wiki/William%20Brinkley%20%28disambiguation%29 | William Brinkley (1917–1993) was an American writer and journalist.
William Brinkley may also refer to:
William Brinkley (Underground Railroad), American conductor on the network that guided enslaved people to freedom in the Northern United States or Canada
William R. Brinkley, American cellular biologist and scientific advocate |
https://en.wikipedia.org/wiki/List%20of%20Cuban%20provinces%20by%20Human%20Development%20Index | This is a list of provinces of Cuba by Human Development Index as of 2023 with data for the year 2021.
References
Cuba
Cuba
Economy of Cuba |
https://en.wikipedia.org/wiki/Ello%20%28disambiguation%29 | Ello is a municipality in the Province of Lecco in the Italian region Lombardy.
Ello may also refer to:
Ello Creation System, construction toy
Ello (social network)
Peeter Ello (1955 – 1997), Estonian politician
Ello, a transliteration variant of the name of the Korean singer Elo
See also
Erinnyis ello, a moth |
https://en.wikipedia.org/wiki/April%20Brown | April S. Brown is an American electrical engineer and materials scientist in the Duke University Pratt School of Engineering, where she is a professor of electrical and computer engineering and the former John Cocke Professor of Electrical and Computer Engineering.
Education and career
After developing an interest in psychology as a high school student in Hillsborough, North Carolina, Brown was encouraged to study electrical engineering by her father, also an electrical engineer. She is a 1981 graduate of North Carolina State University. She went to Cornell University for graduate study in electrical engineering, completing her PhD in 1985.
She joined the University of Michigan faculty in 1985 as an assistant professor, but in 1986 moved to industry as a researcher for Hughes Research Laboratories, eventually becoming a senior scientist there as well as serving as a program manager for the United States Army Research Laboratory from 1988 to 1989. She returned to academia in 1994 as an associate professor at the Georgia Institute of Technology, and became full professor in 1999. At Georgia Tech, she was Pettit Professor in Microelectronics, associate dean, and executive assistant to the president before moving to Duke University as department chair in 2002. She was named John Cocke Professor of Electrical and Computer Engineering in 2008. In 2015, she returned to the Army Research Office for a two-year term as head of extramural engineering research there.
Research
At Duke, her research has included the discovery of the stable coexistence of liquid and solid phases of gallium in nanoscale droplets. She is also known for her work on the design of high-electron-mobility transistors and on nanoscale fabrication using molecular-beam epitaxy.
Recognition
Brown and her coauthors won the Paul Rappaport Award of the IEEE Electron Devices Society in 1992, for their work on high-electron-mobility transistor. She was named a Fellow of the IEEE in 1998, "for contributions to the development of lattice-matched and pseudomorphic high electron mobility field effect transistors".
She became a Fellow of the American Physical Society (APS) in 2011, after a nomination from the APS Forum on Industrial & Applied Physics, for "outstanding contributions to development and application of molecular beam epitaxy to the formation advanced device structures, with particular contributions to the advancement of the strained heterostructures forming modern microwave devices". The North Carolina State University Department of Electrical and Computer Engineering listed her in their alumni hall of fame in 2017.
References
External links
Year of birth missing (living people)
Living people
American electrical engineers
American women engineers
American materials scientists
North Carolina State University alumni
Cornell University alumni
Georgia Tech faculty
Duke University faculty
Fellow Members of the IEEE
Fellows of the American Physical Society
21st-century American women |
https://en.wikipedia.org/wiki/Lindy%20Cameron | Lindy Cameron is a British civil servant who is chief executive officer at the National Cyber Security Centre. She was previously Director-General responsible for the Department for International Development’s programmes in Africa, Asia and the Middle East. She was awarded an Order of the Bath in the 2020 Birthday Honours for her services to international development.
Early life and education
Cameron was born in Belfast. Her father was a founding member of the Corrymeela Community Peace and Reconciliation Centre. She completed her undergraduate studies at the University of Oxford, where she studied modern history. She matriculated to Balliol College in 1991, before starting a course in international relations at Tufts University as a Fulbright scholar. After graduating, Cameron joined McKinsey & Company, where she worked as a management consultant until 1998.
Research and career
In 1998, Cameron joined the Department for International Development (DFID). She served as head of both the DFID Country Offices in Iraq and Afghanistan. She was awarded an Order of the British Empire for her services to Iraq in 2004. Cameron was seconded to the Cabinet of the United Kingdom in 2007, where she worked on Trader and Development in Africa. She moved to the Foreign Office to lead the Helmand Provincial Reconstruction Team. After completing a year long programme at the Royal College of Defence Studies, Cameron returned to DFID in 2011, where she was appointed director of the Middle East. She spent two years in this role before being promoted to director general, overseeing a £4 billion budget.
National Cyber Security Centre
Cameron was appointed chief executive officer of the National Cyber Security Centre in 2020, becoming the second person to hold such a position at the NCSC. She succeeded the founding CEO, Ciaran Martin. Martin was made a Companion of the Order of the Bath in the 2020 Birthday Honours for his services to cyber security and Cameron received the same honour for her services to international development.
In March 2021 during Cameron's inaugural address as CEO, she warned of the UK's need to "be clear-eyed about Chinese ambition in technological advancement", citing China's "hostile activity in cyberspace".
In June 2021 she spoke at the Royal United Services Institute. Cameron said that ransomware attacks were the major threat to United Kingdom cyber security. She noted that it is possible to obtain ransomware as a service (RaaS) for either a flat fee or for a share of the profits.
Lindy spoke at the 12th annual Tel Aviv Cyber Week in June 2022, identifying ransomware as the primary cyber threat to global security, which is both pervasive and quickly evolving.
References
Living people
21st-century British civil servants
Alumni of Balliol College, Oxford
Civil servants from Belfast
Tufts University alumni
Graduates of the Royal College of Defence Studies
Year of birth missing (living people)
Companions of the Order of the Bath
Offi |
https://en.wikipedia.org/wiki/Lalaland%20%28company%29 | Lalaland is an Amsterdam-Based Dutch tech startup that creates artificial intelligence based virtual models for e-commerce.
History
The startup was co-founded in 2019 by Michael Musandu and Ugnius Rimsa. Lalaland states that the concept of creating AI based synthetic, full-body virtual supermodels is aimed to replace the traditional human models to reduce cost to vendors and to increase diversity in product representation.
In April 2020, Lalaland received a pre-seed funding from Amsterdam-based venture capital fund ASIF Ventures. In May 2020, Lalaland won the 15th Philips Innovation Award. In June 2021, the startup received €350.000 funding from Google under its program to fund the ventures initiated by the people of color.
In January 2022, Lalaland won the Tommy Hilfiger Fashion Frontier Challenge, which includes a prize of €100,000 and mentorship opportunities.
In June 2022 Lalaland raised €2.1M in a new pre-Series-A round of funding.
In March 2022 Michael and Ugnius made it to the European Forbes 30 under 30 list in the retail and e-commerce list, which identifies entrepreneurs under the age of 30 who, the Forbes page notes, are “reinventing how we shop, both online and offline.”. The same month, Levi Strauss & Co. announced a partnership with the aim for later this year, to test AI-generated models to supplement human models, increasing the number and diversity of their models for their products in a sustainable way.
References
Technology companies established in 2019 |
https://en.wikipedia.org/wiki/Claude%20Tudor | Claude K. Tudor Jr. is a United States Air Force brigadier general who has served as the director for operations and cyber of the United States Africa Command since July 2023.He most recently served as the commander of Combined Special Operations Joint Task Force-Levant. Prior to that, he served as the Chief of Staff of the Pacific Air Forces. Previously, he served as the Director of Air Force Resilience of the United States Air Force and, prior to that, he was the Commander of the 24th Special Operations Wing.
In March 2023, Tudor was nominated for promotion to major general.
References
External links
Year of birth missing (living people)
Living people
Place of birth missing (living people)
United States Air Force generals |
https://en.wikipedia.org/wiki/List%20of%20minor%20planets%3A%20555001%E2%80%93556000 |
555001–555100
|-bgcolor=#fefefe
| 555001 || || — || May 7, 2013 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.79" | 790 m ||
|-id=002 bgcolor=#E9E9E9
| 555002 || || — || May 16, 2013 || Haleakala || Pan-STARRS || || align=right data-sort-value="0.99" | 990 m ||
|-id=003 bgcolor=#fefefe
| 555003 || || — || June 12, 2013 || Haleakala || Pan-STARRS || H || align=right data-sort-value="0.56" | 560 m ||
|-id=004 bgcolor=#E9E9E9
| 555004 || || — || May 16, 2013 || Nogales || M. Schwartz, P. R. Holvorcem || || align=right | 1.8 km ||
|-id=005 bgcolor=#E9E9E9
| 555005 || || — || July 18, 2001 || Palomar || NEAT || || align=right data-sort-value="0.98" | 980 m ||
|-id=006 bgcolor=#E9E9E9
| 555006 || || — || June 8, 2013 || Siding Spring || SSS || || align=right | 1.6 km ||
|-id=007 bgcolor=#d6d6d6
| 555007 || || — || June 7, 2013 || Haleakala || Pan-STARRS || || align=right | 2.1 km ||
|-id=008 bgcolor=#E9E9E9
| 555008 || || — || June 1, 2013 || Catalina || CSS || || align=right | 1.0 km ||
|-id=009 bgcolor=#d6d6d6
| 555009 || || — || June 20, 2013 || Haleakala || Pan-STARRS || || align=right | 2.1 km ||
|-id=010 bgcolor=#E9E9E9
| 555010 || || — || June 20, 2013 || Haleakala || Pan-STARRS || || align=right | 1.3 km ||
|-id=011 bgcolor=#E9E9E9
| 555011 || || — || June 18, 2013 || Haleakala || Pan-STARRS || || align=right | 1.2 km ||
|-id=012 bgcolor=#E9E9E9
| 555012 || || — || February 9, 2008 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.95" | 950 m ||
|-id=013 bgcolor=#fefefe
| 555013 || || — || February 5, 2007 || Palomar || NEAT || H || align=right data-sort-value="0.58" | 580 m ||
|-id=014 bgcolor=#fefefe
| 555014 || || — || July 4, 2013 || Haleakala || Pan-STARRS || H || align=right data-sort-value="0.77" | 770 m ||
|-id=015 bgcolor=#FA8072
| 555015 || || — || March 9, 2000 || Socorro || LINEAR || || align=right | 1.5 km ||
|-id=016 bgcolor=#d6d6d6
| 555016 || || — || December 25, 2003 || Kitt Peak || Spacewatch || || align=right | 4.4 km ||
|-id=017 bgcolor=#FA8072
| 555017 || || — || June 8, 2004 || Palomar || NEAT || || align=right | 2.6 km ||
|-id=018 bgcolor=#d6d6d6
| 555018 || || — || July 1, 2013 || Haleakala || Pan-STARRS || SHU3:2 || align=right | 5.2 km ||
|-id=019 bgcolor=#fefefe
| 555019 || || — || March 4, 2006 || Mount Lemmon || Mount Lemmon Survey || || align=right data-sort-value="0.51" | 510 m ||
|-id=020 bgcolor=#d6d6d6
| 555020 || || — || April 18, 2007 || Mount Lemmon || Mount Lemmon Survey || || align=right | 1.8 km ||
|-id=021 bgcolor=#E9E9E9
| 555021 || || — || September 28, 2009 || Mount Lemmon || Mount Lemmon Survey || || align=right | 1.6 km ||
|-id=022 bgcolor=#d6d6d6
| 555022 || || — || July 15, 2013 || Haleakala || Pan-STARRS || || align=right | 1.7 km ||
|-id=023 bgcolor=#d6d6d6
| 555023 || || — || July 14, 2013 || Haleakala || Pan-STARRS || || align=right | 2.3 km ||
|-id=024 bgcolor=#d6d6d6
| 555024 || || — || July |
https://en.wikipedia.org/wiki/List%20of%20minor%20planets%3A%20561001%E2%80%93562000 |
561001–561100
|-bgcolor=#fefefe
| 561001 || || — || September 12, 2002 || Palomar || NEAT || || align=right data-sort-value="0.60" | 600 m ||
|-id=002 bgcolor=#fefefe
| 561002 || || — || November 6, 2012 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.71" | 710 m ||
|-id=003 bgcolor=#fefefe
| 561003 || || — || July 26, 2008 || Siding Spring || SSS || || align=right data-sort-value="0.76" | 760 m ||
|-id=004 bgcolor=#fefefe
| 561004 || || — || July 14, 2015 || Haleakala || Pan-STARRS || || align=right data-sort-value="0.70" | 700 m ||
|-id=005 bgcolor=#d6d6d6
| 561005 || || — || September 6, 2010 || Mount Lemmon || Mount Lemmon Survey || || align=right | 2.6 km ||
|-id=006 bgcolor=#fefefe
| 561006 || || — || August 27, 2005 || Anderson Mesa || LONEOS || || align=right data-sort-value="0.58" | 580 m ||
|-id=007 bgcolor=#fefefe
| 561007 || || — || October 15, 2012 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.93" | 930 m ||
|-id=008 bgcolor=#fefefe
| 561008 || || — || January 11, 2003 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.91" | 910 m ||
|-id=009 bgcolor=#fefefe
| 561009 || || — || June 28, 2011 || Mount Lemmon || Mount Lemmon Survey || || align=right data-sort-value="0.70" | 700 m ||
|-id=010 bgcolor=#fefefe
| 561010 || || — || October 16, 2012 || Mount Lemmon || Mount Lemmon Survey || || align=right data-sort-value="0.60" | 600 m ||
|-id=011 bgcolor=#fefefe
| 561011 || || — || October 7, 2012 || Haleakala || Pan-STARRS || || align=right data-sort-value="0.67" | 670 m ||
|-id=012 bgcolor=#fefefe
| 561012 || || — || February 25, 2011 || Mount Lemmon || Mount Lemmon Survey || || align=right data-sort-value="0.67" | 670 m ||
|-id=013 bgcolor=#fefefe
| 561013 || || — || October 24, 2009 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.63" | 630 m ||
|-id=014 bgcolor=#fefefe
| 561014 || || — || October 7, 1996 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.72" | 720 m ||
|-id=015 bgcolor=#fefefe
| 561015 || || — || September 19, 2012 || Mount Lemmon || Mount Lemmon Survey || || align=right data-sort-value="0.62" | 620 m ||
|-id=016 bgcolor=#fefefe
| 561016 || || — || February 7, 2008 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.61" | 610 m ||
|-id=017 bgcolor=#fefefe
| 561017 || || — || June 27, 2015 || Haleakala || Pan-STARRS || || align=right data-sort-value="0.67" | 670 m ||
|-id=018 bgcolor=#fefefe
| 561018 || || — || August 23, 2004 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.59" | 590 m ||
|-id=019 bgcolor=#fefefe
| 561019 || || — || October 6, 2012 || Haleakala || Pan-STARRS || || align=right data-sort-value="0.66" | 660 m ||
|-id=020 bgcolor=#fefefe
| 561020 || || — || October 21, 2012 || Haleakala || Pan-STARRS || || align=right data-sort-value="0.64" | 640 m ||
|-id=021 bgcolor=#fefefe
| 561021 || || — || October 20, 2012 || Haleakala || Pan-STARRS || |
https://en.wikipedia.org/wiki/List%20of%20minor%20planets%3A%20562001%E2%80%93563000 |
562001–562100
|-bgcolor=#fefefe
| 562001 || || — || June 26, 2011 || Mount Lemmon || Mount Lemmon Survey || || align=right data-sort-value="0.62" | 620 m ||
|-id=002 bgcolor=#E9E9E9
| 562002 || || — || July 27, 2014 || Haleakala || Pan-STARRS || || align=right data-sort-value="0.81" | 810 m ||
|-id=003 bgcolor=#E9E9E9
| 562003 || || — || January 14, 2012 || Mayhill-ISON || L. Elenin || || align=right | 2.5 km ||
|-id=004 bgcolor=#E9E9E9
| 562004 || || — || February 13, 2008 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.93" | 930 m ||
|-id=005 bgcolor=#d6d6d6
| 562005 || || — || June 27, 2014 || Haleakala || Pan-STARRS || || align=right | 2.8 km ||
|-id=006 bgcolor=#fefefe
| 562006 || || — || December 1, 2015 || Haleakala || Pan-STARRS || || align=right data-sort-value="0.64" | 640 m ||
|-id=007 bgcolor=#E9E9E9
| 562007 || || — || November 8, 2007 || Mount Lemmon || Mount Lemmon Survey || || align=right | 1.1 km ||
|-id=008 bgcolor=#fefefe
| 562008 Samtackeff || || || October 9, 2004 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.69" | 690 m ||
|-id=009 bgcolor=#E9E9E9
| 562009 || || — || December 21, 2011 || Crni Vrh || J. Skvarč || || align=right | 1.1 km ||
|-id=010 bgcolor=#E9E9E9
| 562010 || || — || November 28, 2011 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.77" | 770 m ||
|-id=011 bgcolor=#E9E9E9
| 562011 || || — || May 4, 2009 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.89" | 890 m ||
|-id=012 bgcolor=#E9E9E9
| 562012 || || — || December 1, 2015 || Haleakala || Pan-STARRS || || align=right data-sort-value="0.88" | 880 m ||
|-id=013 bgcolor=#E9E9E9
| 562013 || || — || April 2, 2013 || Mount Lemmon || Mount Lemmon Survey || || align=right | 1.3 km ||
|-id=014 bgcolor=#E9E9E9
| 562014 || || — || June 27, 2014 || Haleakala || Pan-STARRS || || align=right data-sort-value="0.80" | 800 m ||
|-id=015 bgcolor=#E9E9E9
| 562015 || || — || October 13, 2002 || Palomar || NEAT || || align=right | 2.7 km ||
|-id=016 bgcolor=#E9E9E9
| 562016 || || — || December 6, 2011 || Haleakala || Pan-STARRS || || align=right data-sort-value="0.85" | 850 m ||
|-id=017 bgcolor=#E9E9E9
| 562017 || || — || April 2, 2009 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.85" | 850 m ||
|-id=018 bgcolor=#fefefe
| 562018 || || — || October 8, 2015 || Haleakala || Pan-STARRS || || align=right data-sort-value="0.71" | 710 m ||
|-id=019 bgcolor=#E9E9E9
| 562019 || || — || May 7, 2014 || Haleakala || Pan-STARRS || || align=right | 1.3 km ||
|-id=020 bgcolor=#fefefe
| 562020 || || — || September 7, 2011 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.66" | 660 m ||
|-id=021 bgcolor=#fefefe
| 562021 || || — || November 21, 2008 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.57" | 570 m ||
|-id=022 bgcolor=#E9E9E9
| 562022 || || — || March 27, 2008 || Mount Lemmon || Mount Lemmon Survey || || |
https://en.wikipedia.org/wiki/List%20of%20minor%20planets%3A%20565001%E2%80%93566000 |
565001–565100
|-bgcolor=#fefefe
| 565001 || || — || October 8, 2008 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.74" | 740 m ||
|-id=002 bgcolor=#fefefe
| 565002 || || — || December 14, 2004 || Kitt Peak || Spacewatch || || align=right | 1.1 km ||
|-id=003 bgcolor=#fefefe
| 565003 || || — || November 17, 2009 || Mount Lemmon || Mount Lemmon Survey || || align=right data-sort-value="0.69" | 690 m ||
|-id=004 bgcolor=#fefefe
| 565004 || || — || August 20, 2001 || Cerro Tololo || Cerro Tololo Obs. || || align=right data-sort-value="0.73" | 730 m ||
|-id=005 bgcolor=#fefefe
| 565005 || || — || March 16, 2010 || Mount Lemmon || Mount Lemmon Survey || || align=right data-sort-value="0.73" | 730 m ||
|-id=006 bgcolor=#fefefe
| 565006 || || — || December 31, 2008 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.79" | 790 m ||
|-id=007 bgcolor=#fefefe
| 565007 || || — || September 22, 2004 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.95" | 950 m ||
|-id=008 bgcolor=#E9E9E9
| 565008 || || — || December 23, 2016 || Haleakala || Pan-STARRS || || align=right data-sort-value="0.96" | 960 m ||
|-id=009 bgcolor=#fefefe
| 565009 || || — || October 1, 2008 || Mount Lemmon || Mount Lemmon Survey || || align=right data-sort-value="0.79" | 790 m ||
|-id=010 bgcolor=#E9E9E9
| 565010 || || — || February 13, 2009 || Mount Lemmon || Mount Lemmon Survey || || align=right | 1.1 km ||
|-id=011 bgcolor=#fefefe
| 565011 || || — || April 5, 2003 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.87" | 870 m ||
|-id=012 bgcolor=#E9E9E9
| 565012 || || — || April 14, 2005 || Catalina || CSS || || align=right | 1.3 km ||
|-id=013 bgcolor=#fefefe
| 565013 || || — || November 6, 2012 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.68" | 680 m ||
|-id=014 bgcolor=#E9E9E9
| 565014 || || — || December 4, 2007 || Mount Lemmon || Mount Lemmon Survey || || align=right | 1.5 km ||
|-id=015 bgcolor=#E9E9E9
| 565015 || || — || November 15, 2006 || Catalina || CSS || || align=right | 2.8 km ||
|-id=016 bgcolor=#fefefe
| 565016 || || — || September 25, 2012 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.60" | 600 m ||
|-id=017 bgcolor=#fefefe
| 565017 || || — || December 15, 2009 || Mount Lemmon || Mount Lemmon Survey || || align=right data-sort-value="0.87" | 870 m ||
|-id=018 bgcolor=#fefefe
| 565018 || || — || December 21, 2016 || Oukaimeden || M. Ory || || align=right data-sort-value="0.57" | 570 m ||
|-id=019 bgcolor=#fefefe
| 565019 || || — || November 30, 2008 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.92" | 920 m ||
|-id=020 bgcolor=#fefefe
| 565020 || || — || October 19, 2000 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.75" | 750 m ||
|-id=021 bgcolor=#fefefe
| 565021 || || — || October 8, 2012 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.64" | 640 m ||
|-id=022 b |
https://en.wikipedia.org/wiki/List%20of%20SonyLIV%20original%20programming | SonyLIV is an Indian subscription video on-demand over-the-top Internet streaming platform that has distributed a number of original streaming television shows, including original series, specials and films.
SonyLIV original productions also include licensing or co-producing content from international broadcasters for exclusive broadcast in India and other territories. which is also branded as SonyLIV original content.
LIV originals
These includes the TV shows, Mini-Series and films that are partly or fully distributed by SonyLIV, some of which are also Produced and co-produced with other digital labs and labelled as an original content.
TV shows
Films
Exclusive programming
These includes the exclusive digital streaming rights of the TV shows and films sold to SonyLIV by their respective production companies.
TV shows
Documentaries
Films
Exclusive international distribution
TV shows
See also
Sony Pictures Networks India
List of Amazon India originals
List of Hotstar original films
List of Disney+ Hotstar original programming
List of Netflix India originals
List of ZEE5 original programming
JioCinema
References
External links
List of Sonyliv Originals
Internet streaming services
Lists of television series by network
Lists of television series by streaming service
Video on demand services
Internet-related lists |
https://en.wikipedia.org/wiki/Unsettled%20%28TV%20series%29 | Unsettled is a 2021 Canadian drama television series that originally aired on the Aboriginal Peoples Television Network and TVO.
Cheri Maracle stars as an Indigenous woman who was removed from her family as a child, during the Sixties Scoop, and is now attempting to reconnect to her heritage and her birth parents. A visit to her First Nation reserve in Northern Ontario becomes a more permanent stay when the business run by her husband (Brandon Oakes) fails, leaving their family destitute, and forcing them to relocate from Toronto to the reserve. The cast also includes Tamara Podemski, and Joshua Odjick, Glen Gould, and Sid Bobb appear in recurring roles.
The series was created by Jennifer Podemski and Derek Diorio, and shot on Nipissing First Nation. Twenty percent of the dialogue is in Ojibwe, and a version of the series dubbed into that language completely was produced as well.
References
External links
Official website
2021 Canadian television series debuts
2020s Canadian drama television series
First Nations television series
Aboriginal Peoples Television Network original programming |
https://en.wikipedia.org/wiki/Selene%20%28supercomputer%29 | Selene is a supercomputer developed by Nvidia, capable of achieving 63.460 petaflops, ranking as the fifth fastest supercomputer in the world, when it entered the list. Selene is based on the Nvidia DGX system consisting of AMD CPUs, Nvidia A100 GPUs, and Mellanox HDDR networking. Selene is based on the Nvidia DGX Superpod, which is a high performance turnkey supercomputer solution provided by Nvidia using DGX hardware. DGX Superpod is a tightly integrated system that combines high performance DGX compute nodes with fast storage and high bandwidth networking. It aims to provide a turnkey solution to high-demand machine learning workloads. Selene was built in three months and is the fastest industrial system in the US while being the second-most energy-efficient supercomputing system ever.
Selene utilizing 1080 AMD Epyc CPUs and 4320 A100 GPUs is used to train BERT, the natural language processor, in less than 16 seconds, which usually takes most smaller systems about 20 minutes to execute. IEEE Spectrum reported that as per December 2021 among all the commercially available supercomputing systems Selene topped all the results of MLPerf benchmark, which is the benchmark developed by the consortium of artificial intelligence developers from academia, research labs, and industry aiming to unbiasedly evaluate the training and inference performance for hardware, software, and services used for AI.
Selene is deployed by the Argonne National Laboratory to research different ways to end the coronavirus. It has been used to tackle problems around the concepts of protein docking and quantum chemistry, which are vital to developing an understanding of the coronavirus and a potential cure for it.
Nvidia used Selene to train its GauGAN2 AI model, which is used in Nvidia Canvas software to create art using artificial intelligence, using 10 million landscape images for training. GauGAN2 AI model uses segmentation mapping, inpainting, and text-to-image generation in a single model to create art.
See also
Computer science
Computing
Top500
References
External links
Nvidia's blog on Selene website
GPGPU supercomputers |
https://en.wikipedia.org/wiki/Planispectrum | The genus Planispectrum combines very small and compact species from Southeast Asia.
Characteristics
Planispectrum is the smallest genus of the Dataminae. The males of the previously known species reach lengths of , the females are long. In addition to the small size, the flat body and the very short antennae, which are hardly longer than the femura of the forelegs, are characteristic of the genus. In all species the antennae are shorter than the legs as a whole. The first antenna segment (scapus) is always toothed. Tubercles or teeth can be seen on the top of the head. The pronotum is trapezoidally widened posteriorly. The Metanotum is square. The margins of thorax and abdomen may be serrated. The meta pleura have no spines. The abdominal segments are very short and wide. The ventrally located subgenital plate of the female is blunt and no longer than the dorsaly located operculum. The same is swollen and rounded. It shows a rounded lip at the end. The legs are very short and have no teeth or thorns.
Distribution area, way of life and reproduction
The distribution area of the genus extends from South China and Hong Kong over Vietnam, Malay Peninsula, Singapore, Sumatra and Borneo to Java. The representatives of the genus are extremely difficult to find and live close to the ground, where they usually hide under leaves lying on the ground. Only after heavy rain do they climb into the bushes to avoid the water.
Taxonomy
As early as 1906, Josef Redtenbacher described the first two species of the species listed today in Planispectrum in a genus specially established for this with Platymorpha cochinchinensis and Platymorpha bengalensis. Since Platymorpha is a genus of the leaf beetles (Chrysomelidae) already described in 1888, James Abram Garfield Rehn and his son John William Holman Rehn described the genus in 1939 new as Planispectrum. In relation to Phasmatodea, Platymorpha is therefore a senior synonym to Planispectrum. As type species they set Planispectrum cochinchinensis. Also the Russian entomologist Boris Uvarov noticed the synonymy of Platymorpha. Unaware of the renaming by Rehn and Rehn, he renamed the genus to Platyphasma in 1940. This name is therefore a junior synonym for the older name Planispectrum. A species also described by Redtenbacher in 1906 as Datames pusillus was transferred to the genus Planispectrum by Oliver Zompro in 2004. Zompro also described three other species. Two of them based on relatively freshly collected material and the third (Planispectrum javanense) after examining the type material of Planispectrum bengalensis based on a paralectotype. The last species to be described was Planispectrum hainanensis in 2008, initially in the genus Pylaemenes. It was transferred to Planispectrum by George Ho Wai-Chun in 2013.
Valid species are:
Planispectrum bakiensis Zompro, 1998
Planispectrum bengalense (Redtenbacher, 1906)
Planispectrum cochinchinensis (Redtenbacher, 1906)
Planispectrum hainanensis (Chen & He, 20 |
https://en.wikipedia.org/wiki/Imperial%20College%20Computing%20Engine | ICCE I and ICCE II were digital computers built at the Imperial College Department of Mathematics in the post-war period.
Computing engines
ICCE I
The first Imperial College Computing Engine, ICCE I, was constructed by Sidney Michaelson, Tony Brooker and Keith Tocher in the Department of Mathematics at Imperial College London in the late 1940s and early 1950s. It was a relay based machine which gave relatively slow but highly reliable service. Its current whereabouts is unknown.
ICCE II
ICCE II was constructed by Sidney Michaelson, Keith Tocher and Manny Lehman in the early 1950s. This valve based machine was never completed. ICCE II was taken by Keith Tocher to British Steel. Its current whereabouts is unknown.
Influence on other machines
ICCE I and II influenced the design of SABRAC, the second computer constructed in Israel by The Israeli MoD Scientific Department.
Project termination
In 1956/7, the project was forcibly terminated. Staff dispersed. In 1951 Tony Brooker had left to join the Computing Machine Laboratory at the University of Manchester. Keith Tocher took ICCE II and went to work at British Steel, Sidney Michaelson went to the University of Edinburgh and founded the Computer Unit which subsequently became the Department of Computer Science, now the school of informatics. Manny Lehman ultimately joined the Israeli MoD Scientific Department which subsequently became Rafael.
See also
Wilks MV and Stringer LJB, Micro-Programming and the Design of the Control Circuits in an Electronic Computer, Proc. Camb. Phil. Soc., vol 49, no. 2, 1953
Tocher KD, Classification and Design of Operation Codes for Automatic Computers, Proc. IEE, 103B, Supplement 1, Apr. 1956
Tocher KD and Lehman MM, A Fast Parallel Arithmetic Unit, Proc. IEE 103B, Supplement 3, Apr. 1956, pp. 520 - 527
Lehman MM, Parallel Arithmetic Units and Their Control, PhD Thesis, University of London, Feb. 1957, 160pps.+
Lehman MM, Short-Cut Multiplication and Division in Automatic Binary Digital Computers with Special Reference to a New Multiplication Process, Proc. IEE, vol 105, Part B, No 23, Sept 1958, pps. 496 - 504
Tocher KD, Techniques of Multiplication and Division for Automatic Binary Computers, Quart. J. of Mechanics and Appl. Maths., v. 11, p. 3, 1958, pps. 364 - 384
http://www.macs.hw.ac.uk/~greg/icce/
References
British
Computers designed in the United Kingdom
History of computing in the United Kingdom |
https://en.wikipedia.org/wiki/Private%20protected%20areas%20in%20Australia | In 2010, Australia formulated a strategy for conserving land under the National Reserve System, which would be "a national network of public, Indigenous and private protected areas over land and inland water". States, territories and the commonwealth have enacted legislation to create and protect private lands "in perpetuity". Additionally, they have created mechanisms to fund the conservation of biodiversity in the shorter term. See for example, The Two Rivers Catchment Reserve.
One writer estimated that by September 2013 there were roughly 5000 private properties in Australia comprising some which could be considered private protected areas.
Commonwealth
Private protected lands forming part of the National Reserve System must satisfy certain criteria:
The land must be conserved forever, with a legal mechanism guaranteeing its conservation.
The land must satisfy certain scientific criteria to enhance the protected area network.
The land must be managed under one of the six IUCN management categories
Such lands attract Australian Government funding which help in the management according to various guidelines.
Examples
of private protected areas under the National Reserve System:
Mornington Sanctuary: Australian Wildlife Conservancy, a 31,200 ha area, in the upper catchment of the Fitzroy River and sections of the Wunaamin Miliwundi Ranges. The area was purchased by the Australian Wildlife Conservancy and is managed as an IUCN category II (national park). See Mornington Sanctuary.
Bush Family Reserve, a 255 ha area of grassy woodland East Gippsland, Victoria, which is managed as an IUCN category IV area (habitat or species management area).
New South Wales
In 2018, 3.9% of private land in New South Wales was managed for conservation.
Under the Biodiversity Conservation Act 2016 (BCA 2016) private land conservation agreements protecting private lands "in perpetuity" are set up and registered. The Biodiversity Conservation Trust keeps a public register of agreements, which are of three kinds: conservation agreements (Sections 5.20-5.26 of BCA 2016), wildlife refuge agreements (Sections 5.27-5.33 of BCA 2016), and biodiversity stewardship agreements (Sections 5.5-5.19 of BCA 2016).
Biodiversity agreements are "in perpetuity" but may be terminated by the Minister (administering this Act) to allow mining. (Sections 5.18, 5.19 of BCA 2016) Similarly, A conservation agreement may be terminated (Section 5.23 of BCA 2016) with or without the agreement of all parties to the conservation agreement. In fact, all types of agreement under the BCA 2016 may be terminated at the will of the minister in the interests of mining without the agreement of the landowners. (Sections 5.23, 5.30) Reflecting this, in respect of wildlife agreements, the Act states (Section 5.33): Nothing in this Division:
Biodiversity Stewardship Agreements are "in-perpetuity" agreements and registered on the property title. Such sites create ‘biodiversity credits’ which can |
https://en.wikipedia.org/wiki/Acuaria | Acuaria is a genus of nematodes belonging to the family Acuariidae.
The genus has cosmopolitan distribution.
Species:
Acuaria anthuris
Acuaria attenuata
Acuaria brumpti
Acuaria cordata
Acuaria dollfusi
Acuaria europaea
Acuaria galliardi
Acuaria gruveli
Acuaria hamulosa
Acuaria muscicapae
Acuaria ornata
Acuaria papillifera
Acuaria parorioli
Acuaria phalacrocoracis
Acuaria serpentocephala
Acuaria skrjabini
Acuaria spiralis
Acuaria subula
Acuaria tenuis
References
Nematodes |
https://en.wikipedia.org/wiki/Lists%20of%20databases | This is a list of lists of databases or databanks:
List of academic databases and search engines
List of biodiversity databases
List of biological databases
List of chemical databases
List of databases for oncogenomic research
List of Drosophila databases
List of genealogy databases
List of long non-coding RNA databases
List of neuroscience databases
List of online databases
List of online music databases
See also
Data
List of online database creator apps |
https://en.wikipedia.org/wiki/Doris%20Carver | Doris Loveday Carver (born 1946) is an American computer scientist and software engineer at Louisiana State University, where she is Dow Chemical Distinguished Professor of Computer Science and Engineering, and director of the Software Engineering Laboratory. She is the former president of the IEEE Computer Society and editor-in-chief of IEEE Computer.
Education and career
Carver is a graduate of Carson–Newman College. She earned a master's degree in mathematics at the University of Tennessee in 1969, and entered doctoral study at Texas A&M University in the late 1970s, initially in mathematics, but quickly switching to computer science after taking a course in the subject. She completed her Ph.D. in computer science there in 1981, with the dissertation The effects of complexity on COBOL program changes.
After completing her doctorate, she joined the faculty at Southeastern Louisiana University before moving to Louisiana State University in 1986. At Louisiana State, she has been Interim Dean of the Graduate School, Senior Associate Vice Chancellor of Research and Economic Development, and Interim Vice Chancellor of Research and Economic Development. She has also gone on leave from her faculty position to work as a program officer for the National Science Foundation.
She was president of the IEEE Computer Society in 1998, and later became editor-in-chief of IEEE Computer.
Recognition
Carver was named a Fellow of the IEEE in 1998, "for contributions to the field of software engineering". She became a Fellow of the American Association for the Advancement of Science in 2002. In 2004, the IEEE Computer Society gave her their Richard E. Merwin Award for Distinguished Service.
References
External links
Home page
1946 births
Living people
American computer scientists
American women computer scientists
American software engineers
Software engineering researchers
Carson–Newman University alumni
University of Tennessee alumni
Texas A&M University alumni
Southeastern Louisiana University alumni
Louisiana State University faculty
Fellow Members of the IEEE
Fellows of the American Association for the Advancement of Science
21st-century American women |
https://en.wikipedia.org/wiki/Quiteria%20Franco | Quiteria Josefina Franco Coronado is a Venezuelan LGBT activist and researcher. Since 2014, she has been General Coordinator of Affirmative Action of Venezuela (UNAF) and of the LGBTI Network of Venezuela. She has been part of the Civil Society Advisory Group of UN Women in Latin America and the Caribbean since January 2018.
Education and career
She earned a licentiate (tertiary degree) in education, with a focus on modern languages, from the University of Zulia in 1996, obtained a diploma (graduate degree) in translation from the Metropolitan University in Caracas in 2004, and graduated with a master's degree (postgraduate) in applied linguistics from Simón Bolívar University in 2013. Her thesis was titled Practical analysis of the spoken insult in the "Los Fabulosos" [the Fabulous Ones] segment of the program, "¡A qué te Ríes!" [What are you laughing at!] (In Spanish, Análisis pragmático del acto de habla del insulto en el segmento "Los fabulosos" del programa “¡A que te ríes!”).
She has been a professor at Simón Bolívar University since 1999. Her academic work focuses on analyzing the role of language in communication, discrimination, and violence. She has engaged in the research and defense of same sex marriage in Venezuela, as well as legal changes of name and gender. She also works as a Spanish-English translator and interpreter.
LGBTI activism
In February 2014, she assumed the coordination of the civil association Affirmative Union of Venezuela, an organization founded in 2000. She has also been a member of the LGBTI Network of Venezuela, of the Red Naranja (Orange Network), and of the International Lesbian and Gay Association-ILGA. In August 2014 she was elected coordinator-general of the LGBTI Network of Venezuela for the 2014―2016 term. In 2015, she presented a report of the situation of LGBTI people in Venezuela to the Inter-American Commission on Human Rights as representative of the LGBTI Network of Venezuela. She has presented similar reports afterward in different commissions of the United Nations, and has conducted training for journalists and for both public and private institutions in Venezuela about the topic.
In January 2018, she was chosen to be one of four new members of the Civil Society Advisory Group for UN Women for Latin America and the Caribbean after a selection of nearly 200 candidacies, along with Waldistrudis Hurtado (Colombia), Marilyn Ramón Medellín (Mexico) and Gia Gaspard Taylor (Trinidad and Tobago). On 8 March 2018, the Internal Policy Commission of the National Assembly of Venezuela made an official Act of Recognition of her work.
See also
Recognition of same-sex unions in Venezuela
LGBT rights in Venezuela
References
External links
Red LGBTI de Venezuela
Chronology/History of the LGBTI Movement in Venezuela 1979-2014, Quiteria Franco
21st-century Venezuelan LGBT people
Venezuelan LGBT rights activists
Living people
Year of birth missing (living people) |
https://en.wikipedia.org/wiki/Informationised%20war | Informationised war (informatised war) is a combination of and evolution in warfare from pre-existing ones such as network-centric, cyber, psychological, electronic and information warfare, and integrating all the "opportunities and technologies provided by the Information Age" into all domains, systems and aspects of modern warfare. China's Defense White Papers of 2004, 2006, 2015, and 2019 all emphasis and discuss "informationization" of its military; the country aims for a fully "informationised" force by 2049.
Notes
References
Further reading
S. Erickson, Conor M. Kennedy. China's Maritime Militia Andrew CNA
Informatised War. Journal of Information Warfare.
Warfare by type |
https://en.wikipedia.org/wiki/Identical-machines%20scheduling | Identical-machines scheduling is an optimization problem in computer science and operations research. We are given n jobs J1, J2, ..., Jn of varying processing times, which need to be scheduled on m identical machines, such that a certain objective function is optimized, for example, the makespan is minimized.
Identical machine scheduling is a special case of uniform machine scheduling, which is itself a special case of optimal job scheduling. In the general case, the processing time of each job may be different on different machines; in the case of identical machine scheduling, the processing time of each job is the same on each machine. Therefore, identical machine scheduling is equivalent to multiway number partitioning. A special case of identical machine scheduling is single-machine scheduling.
In the standard three-field notation for optimal job scheduling problems, the identical-machines variant is denoted by P in the first field. For example, " P||" is an identical machine scheduling problem with no constraints, where the goal is to minimize the maximum completion time.
In some variants of the problem, instead of minimizing the maximum completion time, it is desired to minimize the average completion time (averaged over all n jobs); it is denoted by P||. More generally, when some jobs are more important than others, it may be desired to minimize a weighted average of the completion time, where each job has a different weight. This is denoted by P||.
Algorithms
Minimizing average and weighted-average completion time
Minimizing the average completion time (P||) can be done in polynomial time. The SPT algorithm (Shortest Processing Time First), sorts the jobs by their length, shortest first, and then assigns them to the processor with the earliest end time so far. It runs in time O(n log n), and minimizes the average completion time on identical machines, P||.
There can be many SPT schedules; finding the SPT schedule with the smallest finish time (also called OMFT – optimal mean finish time) is NP-hard.
Minimizing the weighted average completion time is NP-hard even on identical machines, by reduction from the knapsack problem. It is NP-hard even if the number of machines is fixed and at least 2, by reduction from the partition problem.
Sahni presents an exponential-time algorithm and a polynomial-time approximation scheme for solving both these NP-hard problems on identical machines:
Optimal average-completion-time;
Weighted-average-completion-time.
Minimizing the maximum completion time (makespan)
Minimizing the maximum completion time (P||) is NP-hard even for identical machines, by reduction from the partition problem. Many exact and approximation algorithms are known.
Graham proved that:
Any list scheduling algorithm (an algorithm that processes the jobs in an arbitrary fixed order, and schedules each job to the first available machine) is a approximation for identical machines. The bound is tight for any m. This |
https://en.wikipedia.org/wiki/Rachel%20Goldman | Rachel Goldman is an American scientist. She is professor of materials science and engineering, electrical engineering and computer science, and physics at the University of Michigan where she has been a faculty member since 1997. She also serves as the associate director of applied physics at the University of Michigan since 2010.
Research
Goldman studies atomic-scale design of electronic materials with a focus on the mechanisms of strain relaxation, alloy formation and diffusion, and correlations between microstructure and electronic, magnetic, and optical properties of semiconductor films, nanostructures, and heterostructures.
Education
Goldman received her Ph.D. from University of San Diego in 1995. She went on to become a post-doctoral researcher at Carnegie Mellon University 1996–97. She received the Augustus Anson Whitney fellowship from the Radcliffe Institute for Advanced Study at Harvard from 2005 to 2006.
Organisational affiliations
She was induced into the Sigma Xi Research Honor society in 2008. She was elected a Fellow of the American Physical Society in 2012 for contributions to the fundamental understanding of strain relaxation, alloy formation, and diffusion, and their applications to nanostructure processing. She was also elected Fellow of the American Vacuum Society in 2012, where she had previously received the Peter Mark Memorial Award in 2002.
She currently serves as the chair of the American Physical Society Division of Materials Physics.
In 2021, Goldman was elected Fellow of the American Association for the Advancement of Science (AAAS).
References
External links
Fellows of the American Physical Society
Fellows of the American Association for the Advancement of Science
Year of birth missing (living people)
Living people
American women physicists
University of Michigan faculty
20th-century American physicists
20th-century American women scientists
21st-century American physicists
21st-century American women scientists |
https://en.wikipedia.org/wiki/Island%20Tea | Island Tea is a Sri Lankan brand of tea, sold internationally. The company was founded in 2017 by Minodh de Silva, it has manages and expands its network through separate companies located in Philippines, Sri Lanka, Qatar, Australia and Singapore, which are privately held.
The Island Tea chain is owned by Ceylanka Trading Incorporated (CTI), headquartered in Philippines since 2017. The franchise modeling of the brand was introduced by Francorp Philippines, a franchise consulting firm in Philippines in April 2018. Island Tea has been a member of the Philippine Franchise Association since 2019.
History
Island Tea was founded in Colombo, Sri Lanka in 2017 by Minodh de Silva, a Sri Lankan entrepreneur, business professional, and award-winning marketer. In a marketing career spanning over 19 years, De Silva also featured on ‘People Asia’ & CIM (UK) amongst a host of other business talk shows and magazines. In 2017, he ventured to expand the retail concept outside Sri Lanka and started the first branch in December 2017 in Metro Cebu, Philippines.
Expansion
The company expanded its operations in June 2018 out of the Philippines. Currently, Island Tea is the only chain of ‘Pure Ceylon’ value-added tea cafes in the South East Asian territories particularly based in the Philippines. As of 2021, the company has multiple branches across Philippines in Luzon, Visayas and Mindanao in key cities of Manila, Batangas, Pampanga, Tarlac, Tagaytay, Baguio, Cebu City, Talisay, Minglanilia, Badian, Tabuelan, Bohol, Iloilo, Tacloban, Leyte, Bacolod, Zamboanga, General Santos, Abra and Ilocos.
The first branch of Island Tea in Sri Lanka opened in Ella, Sri Lanka in 2019. The first branch in Middle East was opened in Dubai, UAE in 2020, this was followed by Qatar and Australia in 2021. As of June 2021 the company operates over 50+ branches across Philippines, Sri Lanka, UAE, Qatar and Australia with more planned expansions across Asia Pacific and Middle East. The brands branch network continues to expand steadily in the largest malls and commercial establishments of the countries it operates in.
Island Tea Co. operates its network through several companies established in Sri Lanka (Island Tea Co. Holdings Limited), Philippines (Ceylanka Trading Inc.), Qatar (Ceylanka Trading WLL.), Australia (Island Tea Co. Australia) and Singapore (Island Tea Co. Singapore PTE. LTD.); The company has planned to open multiple branches in Middle East in Qatar, Saudi Arabia, Bahrain, Dubai and Oman by end 2021. The brand is expected to open more branches in Australia in Canberra and Darwin, after opening in Perth, its first branch in Australia in 2021. The brand is expected to open in Singapore and India as well by 2021. Currently there are more than 50 locations of the brand in 05 countries.
During the period of COVID-19, Island Tea Co. became one of the first companies to engage in Corporate social responsibility (CSR) activities targeting medical frontlines in hospitals and vaccin |
https://en.wikipedia.org/wiki/Kay%20Wilson%20Stallings | Kay Wilson Stallings is an American television executive and producer. She worked at Nickelodeon as a network executive from 1999 until March 2015, when she left the company due to a wave of senior employee layoffs. In August 2015, Stallings was hired by Sesame Workshop. In 2020, she was promoted to Sesame Workshop's head of creative development.
In her role as Nickelodeon's senior vice president (SVP) of production and development, Stallings oversaw the development of all original series for Nickelodeon Preschool and the Nick Jr. Channel. Stallings developed more than 20 shows during her tenure, including Wonder Pets, The Fresh Beat Band, Shimmer and Shine, Sunny Day, Blaze and the Monster Machines, and Nickelodeon's revival of Winx Club. She was also the executive-in-charge of Winx Club and The Backyardigans.
References
Living people
African-American television producers
Television producers from New York City
American women television producers
Nickelodeon executives
University of Illinois alumni
Year of birth missing (living people)
21st-century African-American people
21st-century African-American women |
https://en.wikipedia.org/wiki/Cybersecurity%20Capacity%20Maturity%20Model%20for%20Nations | Cybersecurity Capacity Maturity Model for Nations (CMM) is a framework developed to review the cybersecurity capacity maturity of a country across five dimensions. The five dimensions covers the capacity area required by a country to improve its cybersecurity posture. It was designed by Global Cyber Security Capacity Centre (GCSCC) of University of Oxford and first of its kind framework for countries to review their cybersecurity capacity, benchmark it and receive recommendation for improvement. Each dimension is divided into factors and the factors broken down into aspects. The review process includes rating each factor or aspect along five stages that represents the how well a country is doing in respect to that factor or aspect. The recommendations includes guidance on areas of cybersecurity that needs improvement and thus will require more focus and investment. As at June, 2021, the framework has been adopted and implemented in over 80 countries worldwide. Its deployment has been catalyzed by the involvement of international organizations such as the Organization of American States (OAS), the World Bank (WB), the International Telecommunication Union (ITU) and the Commonwealth Telecommunications Union (CTO) and Global Forum on Cyber Expertise (GFCE).
Overview
The World Summit on Information Society identified capacity building in the realm of cybersecurity as one of the pillars necessary to reap the benefits of processes and services digitalization, especially in developing nations. The International Telecommunication Union reported that developing nations lack the necessary cybersecurity capacity to manage ICT risk and respond to cyberthreats. Because cyberattacks and vulnerabilities in one nation can affect other parts of the world, some maturity models were developed to assess the cybersecurity capacity of nations and benchmark the capacity level. One of such models is the CMM.
The CMM was developed in 2014, through collaborative effort between the GCSCC and over 200 experts from academia, international and regional organizations and the private sector. CMM assesses the capacity of a country from five identified area called dimensions with the objective of improving the coverage, measurement and effectiveness of cyber security capacity building within five levels of progression. Benchmarking of a country's cybersecurity capacity involves reviewing its initiatives and activities against the entire CMM and across all Dimensions. According to the report of a regional CMM assessment of Latin America and the Caribbean, CMM assessment aims to identify cybersecurity gaps and discover actions that works.
Since 2014, the CMM has undergone revisions and it is intended to be a living model that remain relevant to every aspect of cybersecurity needs at the national level.
Structure
The framework consists of dimensions, factors, aspects, indicators and stages.
Dimension.
The dimensions represent the scope of a country's cybersecurity capacity |
https://en.wikipedia.org/wiki/Top%20Chef%20Canada%20%28season%207%29 | The seventh season of the Canadian reality competition show Top Chef Canada was broadcast on Food Network in Canada. It is the Canadian spin-off of Bravo's hit show Top Chef. The program takes place in Toronto, and is hosted by Eden Grinshpan. Season seven features 14 chefs of various backgrounds considered to be the next generation of culinary stars in Canada.
Contestants
14 chefs competed in season 8. Contestants are listed in the alphabetical order of their surnames.
Tania Ganassini, 31, Chef/Owner Staff Meal, Niagara on the Lake, ON
Takeshi Horinoue, 37, Chef/Partner Lavandaria Restaurant, Montreal, QC
Benet Hunt, 28, Executive Chef Ayden Kitchen & Bar, Saskatoon, Saskatchewan
Hayden Johnston, 29, Chef De Cuisine Richmond Station, Thunder Bay, Ontario, ON
Sebastien LaFramboise, 31, Executive Chef District Saint-Joseph, Quebec City, QC
Renée Lavallée, 43, Chef/Owner The Canteen & Little C, Dartmouth,
Paul Moran, 31, Executive Chef Tofino Resort & Marina, Tofino, BC
Dennis Peckham, 41, Chef/Owner Fraiche Sheet Foods, Port Moody, BC
Phil Scarfone, 33, Head Chef Nightingale, Vancouver, BC
Erin Smith, 32, Executive Sous Chef, Toronto, ON
Max Straczek, 32, Executive Chef, Vancouver, BC
Wallace Wong, 27, Chef/Owner Six Pack Chef, Mississauga, ON
Contenders
Alexei Boldireff, 25, Executive Chef Baijiu, Edmonton, Alberta
Paul Kim, 33, Chef/Owner Doma, Toronto, ON
Contestant progress
These three chefs were brought as "competitors" in episode 1 to find the final member of the cast. Benet cooked his way into the competition, while Alexei and Paul K. were eliminated.
Phil won immunity in this quickfire and was automatically safe from elimination.
(Winner) The chef won the season and was crowned Top Chef.
(Runner-Up) The chef was a runner-up for the season.
(Win) The chef won that episode's Elimination Challenge.
(High) The chef was selected as one of the top entries in the Elimination Challenge, but did not win.
(Immune) The chef was immune from elimination, and exempted from cooking during this Elimination Challenge.
(Low) The chef was selected as one of the bottom entries in the Elimination Challenge, but was not eliminated.
(Out) The chef lost that week's Elimination Challenge and was out of the competition.
(In) The chef neither won nor lost that week's Elimination Challenge. They also were not up to be eliminated.
Episodes
References
Canada, Season 7
2019 Canadian television seasons
2020 Canadian television seasons |
https://en.wikipedia.org/wiki/Y.3800 | Y.3800 is an ITU-T Recommendation (computer standard) with the long name "Overview on networks supporting quantum key distribution", that gives an overview of networks supporting quantum key distribution (QKD) cryptographic protocols.
The standard provides support for the design, deployment, operation and maintenance for the implementation of QKD networks (QKDNs), in terms of standardized technologies. It extends existing point-to-point system, and allows for QKD networks.
The relevant network aspects of conceptual structure, layered model and basic functions are within the scope of the Recommendation to support its implementation.
As of September 2020, Y.3800 as well as the related Y.3801 is the basis of QKD trials being conducted by Verizon between their 5G lab in Virginia and Washington D.C.
Corrigendum 1
Corrigendum 1 transforms 'IT-secure keys' into 'secure keys' and makes the location of a security
demarcation boundary unspecified.
References
ITU-T recommendations |
https://en.wikipedia.org/wiki/Takahashi%20Yoshitoki | was an astronomer in mid-Edo period Japan, noted for his work in calendar reform, and as the teacher of the surveyor Inō Tadataka.
Biography
Takahashi was born as the son of a lower-ranking samurai in the guard of Osaka Castle, and followed his father into service at Osaka in 1778. He was interested in mathematics from an early age, and studied under the Osaka-based physician and astronomer Asada Goryu in 1787. At the time, the Japanese were using the lunisolar Hōryaku calendar, which had become increasing inaccurate, and which had missed the forecast of a solar eclipse in 1763. On the other hand, this solar eclipse was predicted by several astronomers in the field, one of whom was Asada Goryu. After that, Goryu read Chinese and Western astronomy and created his own calendar, "Ephemeris Time," which took into account his own theories. The new calendar was well received, but Takahashi was not convinced it was a complete solution. Together with fellow mathematician and astronomer Hazama Shigetomi, he exhaustively studied Chinese and Western calendars as well as the previous Japanese Jōkyō calendar. He reached the conclusion that a source of inaccuracy of previous lunisolar calendars was based on an assumption that celestial bodies rotated in circular orbits, as postulated in the West by Tycho Brahe, whereas their actual orbits were elliptical, as advocated by Johannes Kepler. Together with Asada and Hazama, he developed a new calendar theory, and his reputation as an astronomer became unrivaled in Japan at the time.
In 1795, Takahashi was ordered to Edo where he established the Shogunate Astronomical Observatory. Also while in Edo, he was approached by Inō Tadataka, who despite being 19 years senior in age, asked to become his disciple. Inō was interested in the problem of determining the true length of a Meridian arc, and walked the distance from his home in Fukagawa to Takahashi's observatory in Asakusa to obtain the data necessary for a rough calculation. Takahashi advised that the number was hopelessly inaccurate over a short distance, and calculated that measurements would need to be made over a distance roughly between Edo and the northern island of Ezo in order to obtain an accurate value. This was one of the main objectives of Inō's subsequent surveying expeditions.
In 1796, Takahashi received official approval for his new calendar, and was ordered make astronomical observations between Edo and Kyoto, where he had to convince the influential Tsuchimikado clan, a clan of court nobility who advised the Emperor of Japan on ceremonies tied to the calendar dates, on the validity of his reforms. In 1797, the new calendar was formally adopted as the Kansei calendar The new calendar proved to be quickly popular and Takahashi gained great trust from the Shogunate. On the other hand, he was aware that the calendar still had a few shortcomings and between staying up all night for astronomical observations and travels to Kyoto to speak with the Tsu |
https://en.wikipedia.org/wiki/Stacks%20blockchain | Stacks, formerly Blockstack, is a blockchain platform for smart contracts, decentralized finance ("DeFi"), NFTs, and decentralized apps ("DApps"). Stacks blockchain is a layer for bitcoin similar to the Lightning Network.
Design
Concerns around internet privacy, security, and data breaches brought attention to the Stacks project. Software developers have used the Stacks software to build decentralized alternatives to popular services. Stacks (STX) token is the native cryptocurrency of the Stacks blockchain, which is used as gas fee for executing smart contracts and processing transactions.
History
Stacks project was originally started by Muneeb Ali and Ryan Shea as Blockstack. STX became the first SEC qualified token offering in 2019. Blockstack PBC, a company working on the Stacks technology, raised around $75 million through a mix of venture capital and token sales. The main Stacks blockchain launched in Jan 2021.
Applications
Blockchain Naming System (BNS)
The Blockchain Naming System is an application used to register human-readable, globally unique names with accounts on the Stacks blockchain. A BNS name consists of a namespace, the name and optionally a subdomain. Examples are muneeb.id, muneeb.btc and muneeb.id.blockstack.
CityCoins
In 2021, the CityCoins project launched fungible tokens for the cities of Miami and New York City. In September 2021, Miami's city commissioners voted to accept the protocol treasury, valued at $21 million at the time. MiamiCoin's value crashed, and so Stacks donated $5.25M to the City of Miami.
As of March 2023, Bloomberg was reporting that CityCoin was facing a "quiet demise" as liquidity issues and a lack of interest caused both the New York City and Miami coins to be delisted from the OkCoin cryptocurrency exchange.
References
Blockchains
Computing platforms
Cryptocurrencies |
https://en.wikipedia.org/wiki/Wejo | Wejo Group Ltd was a British connected vehicle data start-up founded by entrepreneur Richard Barlow, headquartered in Greater Manchester, England. Wejo collected in near-real-time 14.6 billion data points and analyzed 66 million journeys across a network of 10.7 million live vehicles from a supply base of over 50 million connected vehicles. The Company offered a trading platform for connected car data and analytics. Wejo served customers worldwide and was founded in 2013.
The company, which was backed by General Motors, went through a special purpose acquisition (SPAC) merger in 2021. The merger raised $330M for Wejo including $230M from the SPAC company Virtuoso and the other $125M from private investment in public equity (PIPE) financing.
Wejo called in administrators at the end of May 2023, following a loss of investment capital.
History
Wejo was founded in 2013 above a Greek restaurant in Manchester. Wejo, stands for "we journey," and at start-up it raised $157 million according to PitchBook from such investors as General Motors, which acquired a significant stake in 2019, German auto supplier Hella, DIP Capital and the British government.
In November 2019, Wejo opened a second UK office in the centre of Manchester's technology and enterprise zone.
Wejo participated in 3 rounds of funding following its founding and raised $120.2M in capital. At one point, it was classed as one of the UK’s prospective billion dollar-valued firms.
At the end of May 2023, Wejo called in administrators as it ran out of investment capital.
Partnerships
In June 2021 it was announced that Wejo would partner with Waycare to deliver a joint offering to 20 locations across the United States, with Wejo’s data supplementing Waycare’s existing data sources, providing traffic managers with a comprehensive understanding of conditions and the ability to not only detect and predict incidents, but also respond faster and more effectively based on real-world, near real-time data in a single platform from which they can all collaborate.
On 29 June 2021, it was announced that Microsoft and Japanese insurance giant Sompo had joined Palantir in partnering with Wejo.
Technology
Wejo streamed high volumes of anonymized vehicle data direct from the automotive manufacturer in real-time, before cleansing, normalizing, and processing it. It also standardized the data across data sources to ensure consistency. The data was delivered from the vehicle source to the end-user customer within 32 seconds.
Wejo had the largest number of accessible connected vehicles on its platform, with 42 million in 2019. Up to July 2020, Wejo had curated over 140 billion miles of data.
References
Companies established in 2013
Companies based in Manchester
Companies formerly listed on the Nasdaq |
https://en.wikipedia.org/wiki/Yang%20Fuqing%20%28scientist%29 | Yang Fuqing (born 6 November 1932) is a Chinese computer software expert who is a professor at the School of Information Science and Technology, Peking University, a member of the Chinese Academy of Sciences, and currently chairwoman of the university's School of Software and Microelectronics and director of National Engineering Research Center of Software Engineering.
Biography
Yang was born in Wuxi, Jiangsu, on 6 November 1932, to Yang Jiechen (), a businessman, and Li Wenying (). Her last name "Fuqing" means lotus in Chinese. In 1945, she attended the Wuxi No.1 Girls' Middle School, where she was fascinated by mathematics. In 1949, Wuxi was liberated. One day, Yang and other eight girls took part in a charity performance for poor students organized by the local communist government in the people's theater. After the performance, Yang and the girls became popular amateur dance stars in Wuxi overnight. Since then, dance became her hobby.
In 1951, she was admitted to the Department of Mathematics, Tsinghua University with the highest marks in her school. In 1952, the Communist Party of China regrouped China's higher education institutions, she moved to Peking University with her department. Under the supervision of , she became the first graduate student majoring in computational mathematics in China. In 1957, China sent a computer delegation to the Soviet Union. As a member of the delegation, Yang first contacted the vacuum tube computer in the computing center of the Academy of Sciences of the Soviet Union and began to learn how to write programs. In 1958, she transferred to the Department of Mathematics and Mechanics, Moscow University and studied programming automation under the guidance of Mikhail Romonovic Shulabola.
Yang returned to China in October 1959 and taught at her alma mater. In 1962, she went to the Soviet Union again and joined the Computing Center of Dubner Institute of Nuclear Physics. In December 1969, she participated in the development of China's first integrated circuit computer DJS11 and was responsible for the design of instruction system and operating system. In 1973, Peking University was invited to participate in the overall design of DJS200/XT2 series computer, she was appointed as a member of the overall design group of the 200 Series Software and the leader of the 240 Computer Software. She became deputy director of the Department of Computer Science and Technology in 1981, and was promoted to director in 1983. In November 1994, was officially registered, Yang was made the chairwoman.
Personal life
Yang met Wang Yangyuan in Peking University. They got married in the autumn of 1960. The couple has a son and a daughter.
Honours and awards
1991 Member of the Chinese Academy of Sciences (CAS)
1997 Science and Technology Progress Award of the Ho Leung Ho Lee Foundation
1998 State Science and Technology Progress Award (Second Class)
2003 Fellow of the Institute of Electrical and Electronics Engineers (IEEE Fel |
https://en.wikipedia.org/wiki/Peter%20Guttorp | Peter Guttorp is a statistician, born in Sweden, with most of his career in the United States. He is a professor emeritus at the University of Washington and professor at the Norwegian Computing Center. Most of his work is in stochastic modeling of scientific data in hematology, geosciences, and climatology, with particular focus on spatial and spatio-temporal approaches. He has also worked in the history of statistics.
Guttorp received a journalist exam from the Stockholm School of Journalism in 1969, and a PhD in Statistics from the University of California at Berkeley in 1980. He was awarded an honorary doctorate from Lund University in 2009.
Guttorp is a fellow of the American Statistical Association, and the Institute of Mathematical Statistics. He is an elected member of the International Statistical Institute and served on its executive committee as vice president from 2017 to 2021. He was president of the International Environmetric Society from 2002 to 2004.
Bibliography
P. Guttorp and T. Löfström (1978): President de Huslund (in Swedish). Lund: Cavefors.
P. Guttorp (1991): Statistical inference for branching processes. New York: Wiley.
A. T. Walden and P. Guttorp, eds. (1992): Statistics in the Environmental and Earth Sciences. London: Edward Arnold
P. Guttorp (1995): Stochastic modeling of scientific data. London: Chapman & Hall.
A. Gelfand, P. Diggle, M. Fuentes and P. Guttorp (2010): Handbook in Spatial Statistics. Boca Raton: Chapman & Hall.
P. Guttorp and D. R. Brillinger (2011): Selected works of David Brillinger. New York: Springer.
References
Fellows of the American Statistical Association
Fellows of the Institute of Mathematical Statistics
Swedish statisticians
University of Washington faculty
University of California, Berkeley alumni
Living people
Year of birth missing (living people)
Spatial statisticians |
https://en.wikipedia.org/wiki/Mitra%20Dutta | Mitra Dutta (born 1953) is an Indian-American physicist and electronics engineer known for her research on optoelectronics. She is a distinguished professor of electrical and computer engineering at the University of Illinois at Chicago, and the university's former vice chancellor for research.
Education and career
Dutta is a graduate of Gauhati University, and has a master's degree in physics from the University of Delhi. She earned a second master's degree and PhD in physics at the University of Cincinnati.
She was a postdoctoral researcher at Purdue University, the City College of New York, and Brookhaven National Laboratory before becoming a team leader and eventually division director of physics at the United States Army Research Laboratory. She moved to the Army Research Office in 1996, as head of the electronics division and later director of research technology and integration.
Dutta moved to the University of Illinois at Chicago in 2001, and was named a Distinguished Professor in 2004. She headed the Department of Electrical and Computer Engineering for over ten years, from her 2001 appointment until being named vice chancellor for research in 2012. She stepped down as vice chancellor in 2018, and was succeeded by geneticist Joanna Groden.
Books
Dutta is the coauthor of Phonons in Nanostructures (with Michael A. Stroscio, Cambridge University Press, 2001), and of Introduction to Optical and Optoelectronic Properties of Nanostructures (with Stroscio, V. V. Mitin, and V. A. Kochelap, Cambridge University Press, 2019), and the editor of multiple edited volumes.
Recognition
Dutta became a Fellow of the Optical Society in 1998. She was named a Fellow of the IEEE in 1999, "for contributions to heterostructure-based optoelectronic and electronic devices", and in 2000 the IEEE gave her the Harry Diamond Memorial Award for "innovative design, characterization and realization of high performance heterostructure optoelectronic devices, and establishment of major research programs in this field". The Society of Women Engineers gave her their Achievement Award in 2003.
She became a Fellow of the American Physical Society (APS) in 2012, after a nomination by the APS Forum on Physics and Society, "for research leadership and administration in government and academia, through which she has supported the applications of physics for society, outreach to the public, and enhancement of physics education". She is also a Fellow of the American Association for the Advancement of Science.
References
1953 births
Living people
American electronics engineers
American women engineers
American physicists
American women physicists
Indian electronics engineers
Indian women engineers
Indian physicists
Indian women physicists
Gauhati University alumni
Delhi University alumni
University of Cincinnati alumni
University of Illinois Chicago faculty
Fellow Members of the IEEE
Fellows of Optica (society)
Fellows of the American Physical Society
Fellows of the American |
https://en.wikipedia.org/wiki/List%20of%20Billboard%20Regional%20Mexican%20Albums%20number%20ones%20of%202014 | Regional Mexican Albums is a record chart published in Billboard magazine that features Latin music sales information for regional styles of Mexican music. This data are compiled by Nielsen SoundScan from a sample that includes music stores, music departments at department stores and verifiable sales from concert venues in the United States.
Number-one albums
References
United States Regional Albums
2014 in Latin music
Regional Mexican 2014 |
https://en.wikipedia.org/wiki/System%202000%20%28software%29 | System 2000 (S2K) is a hierarchical database management system (DBMS). Although not a relational database, S2K does have SQL support. In 2007 it was noted that, while still 'running on systems cranking away in back rooms across the U.S.' it has a problem: "there's little curriculum coverage anymore at universities teaching computer science."
Overview
System 2000 originated as software for the IBM mainframe environment. It could operate in batch processing mode or be used via CICS.
It competed with Cincom's Total, Software AG's ADABAS, Applied Data Research's DATACOM/DB, Computer Corporation of America's Model 204, and IBM Information Management System (IMS) and DL/I. Unisys and CDC versions were subsequently released, as was an interface to SAS.
Programmers could access its Data manipulation language (DML) via a precompiler; these existed for COBOL, FORTRAN, and ASSEMBLY Language. Statements written in S2K's Procedural Language could be intermixed with these languages: the 3 character code "*PL" (in columns 1-3) identified these statements as intended for the precompiler (also referred to as a preprocessor).
History
System 2000 was developed in 1970. SAS Institute acquired S2K from Intel in 1984, which had acquired it from MRI Systems Corporation in 1979.
MRI was founded by Robert L. Brueck.
References
Database management systems
High-level programming languages |
https://en.wikipedia.org/wiki/Interference%20freedom | In computer science, interference freedom is a technique for proving partial correctness of
concurrent programs with shared variables. Hoare logic had been introduced earlier
to prove correctness of sequential programs. In her PhD thesis (and papers arising from it ) under advisor David Gries, Susan Owicki
extended this work to apply to concurrent programs.
Concurrent programming had been in use since the mid 1960s for coding operating systems as sets
of concurrent processes (see, in particular, Dijkstra.), but there was no
formal mechanism for proving correctness. Reasoning about interleaved execution
sequences of the individual processes was difficult, was error prone,
and didn't scale up. Interference freedom
applies to proofs instead of execution sequences;
one shows that execution of one process cannot interfere with the correctness
proof of another process.
A range of intricate concurrent programs have been proved correct using interference
freedom, and interference freedom provides the basis for much of the ensuing work on
developing concurrent programs with shared variables and proving them correct.
The Owicki-Gries paper An axiomatic proof technique for parallel programs I
received the 1977 ACM Award for best paper in programming languages and
systems.
Note. Lamport
presents a similar idea. He writes, "After writing the
initial version of this paper, we learned of the recent work of
Owicki."
His paper has not received as much attention as Owicki-Gries, perhaps because it used
flow charts instead of the text of programming constructs like the if statement and while loop.
Lamport was generalizing Floyd's method while Owicki-Gries was generalizing
Hoare's method.
Essentially all later work in this area uses text and not flow charts.
Another difference is mentioned below in the
section on Auxiliary variables.
Dijkstra's Principle of non-interference
Edsger W. Dijkstra introduced the principle of non-interference in EWD 117,
"Programming Considered as a Human Activity", written about 1965.
This principle states that:
The correctness of the whole can be established by taking into
account only the exterior specifications (abbreviated specs throughout) of the parts, and not their
interior construction. Dijkstra outlined the general steps in using this principle:
Give a complete spec of each individual part.
Check that the total problem is solved when program parts meeting their specs are available.
Construct the individual parts to satisfy their specs, but independent of one another and the context in which they will be used.
He gave several examples of this principle outside of programming. But
its use in programming is a main concern. For example, a programmer using a method (subroutine, function, etc.) should rely only on its spec to determine what it does and how to call it, and never on its implementation.
Program specs are written in Hoare logic, introduced by Sir Tony Hoare, as exemplified in the specs of processes a |
https://en.wikipedia.org/wiki/Alation | Alation is a venture-backed, B2B enterprise software company based in Silicon Valley. Its solutions are focused on data catalog, analytics, and data management.
Founded in 2012, it is credited with creating the data catalog product category. Its signature software, the Alation Data Catalog, serves enterprises in organizing and consolidating their data. Alation launched its first product in 2015 to give data consumers an easy way to search for enterprise data with natural language.
The company’s primary product, Alation Data Catalog, uses machine learning to catalog an organization’s data across cloud and on-premises file systems, databases, data lakes, and data warehouses. It has more than 450 customers including Pfizer, Cisco, Crocs, and NASDAQ.
History
Alation was founded in 2012 by Satyen Sangani, Aaron Kalb, Feng Nui, and Venky Ganti. Alation grew out of different ideas aimed at solving the same question: How do you connect workers with questions to colleagues with answers?
Alation co-founders Satyen Sangani and Aaron Kalb arrived at the solution from two different perspectives. Sangani had a background in economics and had worked as an executive at Oracle. He knew data users in large companies struggled to find and trust data; he theorized that machine learning could be used to help them. Kalb had experience in symbolic systems and had worked on Siri at Apple. He thought crowdsourcing could be used to solve the challenge. In 2012, the team combined those two ideas to create Alation.
Its first solution, a data querying system powered by natural language processing, helped define the modern data catalog. The tool was designed to catalog data in an organization and make that data more accessible to more people. This concept is generally termed data democratization.
As the company improved the solution, it eased the building of complex queries with collaboration features, enabled data catalog efforts, and integrated with different data and related technology products, such as Snowflake, Tableau, Databricks, and others.
As of early 2021, the company had more than 250 customers, including AbbVie, American Family Insurance, Autozone, Cisco, Exelon, Finnair, Munich Re, New Balance, Pfizer, Scandinavian Airlines, and U.S. Foods. By October 2021, the company had increased that number to around 300 customers, adding GE Aviation, NASDAQ, and Regeneron, among others.
In October 2021, Alation acquired Lyngo Analytics, a data insights company which develops software to help users find insights by asking questions in simple business terms. The acquisition is intended to deepen Alation’s ability to convert natural language questions from non-technical users into SQL queries.
In January 2022, Alation launched the “Data Radicals” podcast hosted by the company’s CEO and co-founder, Satyen Sangani. The show is designed to help business, data, and technology enthusiasts use data in powerful ways. Guests have included Stan McChrystal, retired U.S. Army |
https://en.wikipedia.org/wiki/Unrelated-machines%20scheduling | Unrelated-machines scheduling is an optimization problem in computer science and operations research. It is a variant of optimal job scheduling. We need to schedule n jobs J1, J2, ..., Jn on m different machines, such that a certain objective function is optimized (usually, the makespan should be minimized). The time that machine i needs in order to process job j is denoted by pi,j. The term unrelated emphasizes that there is no relation between values of pi,j for different i and j. This is in contrast to two special cases of this problem: uniform-machines scheduling - in which pi,j = pi / sj (where sj is the speed of machine j), and identical-machines scheduling - in which pi,j = pi (the same run-time on all machines).
In the standard three-field notation for optimal job scheduling problems, the unrelated-machines variant is denoted by R in the first field. For example, the problem denoted by " R||" is an unrelated-machines scheduling problem with no constraints, where the goal is to minimize the maximum completion time.
In some variants of the problem, instead of minimizing the maximum completion time, it is desired to minimize the average completion time (averaged over all n jobs); it is denoted by R||. More generally, when some jobs are more important than others, it may be desired to minimize a weighted average of the completion time, where each job has a different weight. This is denoted by R||.
In a third variant, the goal is to maximize the minimum completion time, " R||" . This variant corresponds to the problem of Egalitarian item allocation.
Algorithms
Minimizing the maximum completion time (makespan)
Minimizing the maximum completion time is NP-hard even for identical machines, by reduction from the partition problem.
Horowitz and Sahni presented:
Exact dynamic programming algorithms for minimizing the maximum completion time on both uniform and unrelated machines. These algorithms run in exponential time (recall that these problems are all NP-hard).
Polynomial-time approximation schemes, which for any ε>0, attain at most (1+ε)OPT. For minimizing the maximum completion time on two uniform machines, their algorithm runs in time , where is the smallest integer for which . Therefore, the run-time is in , so it is an FPTAS. For minimizing the maximum completion time on two unrelated machines, the run-time is = . They claim that their algorithms can be easily extended for any number of uniform machines, but do not analyze the run-time in this case.
Lenstra, Shmoys and Tardos presented a polytime 2-factor approximation algorithm, and proved that no polytime algorithm with approximation factor smaller than 3/2 is possible unless P=NP. Closing the gap between the 2 and the 3/2 is a long-standing open problem.
Verschae and Wiese presented a different 2-factor approximation algorithm.
Glass, Potts and Shade compare various local search techniques for minimizing the makespan on unrelated machines. Using computerized simulations |
https://en.wikipedia.org/wiki/Orestes%20dittmari | Orestes dittmari is a species of stick insects in the subfamily Dataminae (tribe Datamini).
Characteristics
Males are approximately long. Like most members of the genus, they are almost monochrome, medium to dark brown in color and show a pair of elongated, dark spots on the metanotum. In front of and behind the eyes there are usually paired, clear spines that show a species-specific expression (see also Acanthotaxy of Heteropterygidae). The three pairs of occipital spines are designed as follows. The anterior supra-anantals are clearly defined as spines and are directed slightly outwards. The two pairs of anterior and posterior supraoccipital behind it are smaller, with the posterior pair being the smallest. The pair of spines behind the eyes of the supraorbital is about as long as the supra-anantal. Their spines are strongly conical and pointed. The spines of the anterior coronal located behind are strongly flattened on the sides and rounded to the tip. The central spine behind it (central coronale) is conical and slightly longer than the pair of spines behind it of the poterior coronals. This and the pair of lateral coronals to the side are designed as small conical tubercles. Behind the eye, a clear edge (postocular carina) extends backwards, where it leads to a conical tubercle. The eyes are relatively small, circular and protruding strongly hemispherical. The antennae are shorter than the fore legs and consist of 23 segments. In addition to the structures on the head, a clear expansion of the mesonotum to the rear is typical of the species.
Females are around long and stocky in shape. Their coloring is dominated by shades of brown. It is complemented by patterns of almost white, dark brown and black spots. These lose more and more contrast with increasing age, until the animals are almost monotonous brown. There is a low crest on the head. The supra anantals are short, conical and blunt. The anterior supraoccipital are formed as small conical humps, the posterior supraoccipital are smaller and granulate. The supraorbitals are short, compressed at the sides and rounded to the tip. They are fused with the anterior coronals, which are laterally compressed and lamellar. The centrale coronale is only present as an indistinct little granule. The posterior and lateral coronals are conical tubercles. The postocular carina is clearly formed and its tip is recognizable as a triangular tubercle. The eyes, like those of the males, are relatively small, circular and protruding hemispherically. The antennae, made up of 25 segments, are longer than the fore legs. There are small tubercles on the body surface. The abdomen is clearly expanded laterally.
Distribution and way of life
The species is only known from the Vietnamese Cát Bà National Park.
The nocturnal animals, like all members of the genus, are able to achieve an almost perfect phytomimesis by aligning legs and antennae along the body and so hardly from a short broken branch are to be dis |
https://en.wikipedia.org/wiki/Concepticon | Concepticon is an open-source online lexical database of linguistic concept lists (word lists). It links concept labels (i.e., word list glosses) in concept lists (i.e., word lists) to concept sets (i.e., standardized word meanings).
It is part of the Cross-Linguistic Linked Data (CLLD) project, which is hosted by the Max Planck Institute for the Science of Human History in Jena, Germany. Version 1.0 was released in 2016.
Concept
Concept lists in the Concepticon include:
Swadesh list (100 items, 207 items, etc.)
Swadesh–Yakhontov list
Dolgopolsky list
Leipzig–Jakarta list
ASJP list
See also
Conceptualization (information science)
Ontology (information science)
Intercontinental Dictionary Series
References
List, Johann Mattis & Rzymski, Christoph & Greenhill, Simon & Schweikhard, Nathanael & Pianykh, Kristina & Tjuka, Annika & Hundt, Carolin & Forkel, Robert (eds.) 2021. CLLD Concepticon 2.5.0 [Data set]. Zenodo.
External links
Langavia Dictionary
Synonyms Dictionary
Lexical databases
Knowledge representation
Computational linguistics
Open data
Cross-Linguistic Linked Data
Linguistics lists
Word lists
Ontology (information science) |
https://en.wikipedia.org/wiki/Buzo | Buzo may refer to:
Alex Buzo (1944–2006), Australian playwright and author
Andrés Buzo, co-author of the Linde–Buzo–Gray algorithm
Sergio Buzó (born 1977), Paraguayan artist
Zihni Buzo (1912–2006), Albanian Australian civil engineer |
https://en.wikipedia.org/wiki/Arun%20Sharma%20%28computer%20scientist%29 | Arun Sharma is an Indian Australian computer science professor. He is a distinguished emeritus professor at the Queensland University of Technology (QUT) where he was the Deputy Vice-Chancellor for Research and Commercialisation from 2004 to 2019. He is the Council Chair of the QIMR Berghofer Medical Research Institute. Within the multinational Adani Group, he is also an Advisor to the Chairman and Group Head for Sustainability and Climate Change. He was a cofounder of Australia's National ICT Research Centre of Excellence (NICTA), and Director of the Translational Research Institute (Australia). In the course of his institutional duties, Sharma played a significant role in the development of Australian technology research capability, the promotion of translational research in agriculture and biosciences within Queensland, and the fostering of international technological research cooperation between Australia and India. Sharma's professional achievements have been recognized by awards by the Premier of Queensland, the Office of the Chief Scientist (Australia), the India Australia Business & Community Awards (IABCA), the Birla Institute of Technology & Science, and the Royal Order of Australia. He was born in the town of Banmankhi in the Indian state of Bihar.
Education
Sharma completed All-India Secondary (1978) and Senior School (1980) Certificates in Goalpara, Assam and New Delhi. He obtained a Master of Science degree in Computer Science from Birla Institute of Technology and Science, Pilani in 1985, and a Ph.D. degree in Computer Science from the State University of New York at Buffalo in 1990 under the supervision of Professor John Case, now at the Department of Computer Science, University of Delaware. Sharma is a graduate of the Australian Institute of Company Directors (2008).
Career
Sharma began his academic career as a research and teaching assistant while still a graduate student at Buffalo, and was a research assistant for a year at the Department of Computer and Information Sciences, University of Delaware (1989-1990) prior to completing his Ph.D. Shortly after his doctorate degree, he was a Post-Doctoral Research Associate at the Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology for 6 months (1990-1991). He then moved to Sydney (Australia) to work at the School of Computer Science and Engineering, University of New South Wales (UNSW), initially as a Visiting Fellow, soon after as a tenured Lecturer (1992), and successively as a Senior Lecturer (1994), Associate Professor (1998), Head of School (1999-02) and Full Professor (2000-2004). While at UNSW he was named as the Node Director Designate, Sydney Node (2002-2003), and was appointed to the role of Vice President and Director of Sydney Research Lab (2003-2004) within National ICT Australia (NICTA), Australia's national Centre of Excellence in information and communications technology, which became part of Data61 division of CSIRO.
In 2004 he |
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