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https://en.wikipedia.org/wiki/Female%3Apressure | female:pressure is an international network of female, transgender and non-binary artists in the fields of electronic music and digital arts founded by Electric Indigo in 1998 : from musicians, composers and DJs to visual artists, cultural workers and researchers. A worldwide resource of talent that can be searched after criteria like location, profession, style or name. "Why are there so few women active in the electronic music scene?" - each one of us has heard this question a thousand times... Here is the answer: It's not our number, it's about how and if we are recognized!
It was founded as an information resource and network for improving communication and representation of its members. It is notable for raising the profile of women and their work, including through festivals and media campaigns.
Since 2013, female:pressure biennially publishes the Facts Survey, a data ascertainment to survey the gender ratio of artists performing at important international electronic music festivals and in the electronic music scene.
Link
Website
References
List of female electronic musicians
Feminist artists
Electronic music organizations
Digital art |
https://en.wikipedia.org/wiki/Hayden%20Quinn | Hayden Quinn is an Australian cook. He is best known for appearing on Series 3 of MasterChef Australia and as a judge on Nine Network cooking program Family Food Fight.
Career
Quinn has currently written two cookbooks: Dish It Up and Surfing the Menu (with Dan Churchill).
Hayden is the host of South African television program Hayden Quinn South Africa. He has been a Starlight Foundation ambassador since 2011.
He also holds a Bachelor of Science in Marine Biology.
Personal life
Quinn has been in a relationship with American model Jax Raynor since 2015.
References
Living people
1986 births
Australian chefs
Australian exercise and fitness writers
Australian exercise instructors
Australian health and wellness writers
Australian television chefs
MasterChef Australia
Participants in Australian reality television series
Writers from Sydney |
https://en.wikipedia.org/wiki/A%20Pinch%20of%20Snuff%20%28TV%20series%29 | A Pinch of Snuff is a British television crime drama miniseries, consisting of three fifty-minute episodes, that broadcast on ITV network from 9 to 23 April 1994. The series, adapted from the 1978 novel of the same name by author Reginald Hill, was the first Dalziel and Pascoe adaptation for TV, arriving two years before the more widely known BBC adaptation that followed in 1996. In this miniseries, the characters of Dalziel and Pascoe were played by comedians Gareth Hale and Norman Pace, with Christopher Fairbank as loyal sidekick Edgar Wield, and Malcolm Storry as Insp. Ray Crabtree.
Reception
The series broadcast over three consecutive Saturday nights, from 9 April 1994. Reginald Hill was said to have been unhappy with the series, and so prevented ITV from creating any further adaptations for television. The Independent went on to describe the "critical contempt heaped on the first television version" of the legendary characters. It described how "a complex story of pornography and murder was turned into a vehicle for the dramatic talents of Hale and Pace, by common consent breathtakingly miscast as the chalk-and-cheese Yorkshire coppers. While either of them might conceivably have scraped by as the blunt, earthy Dalziel, it's hard to see how anybody could have imagined one of them playing the sensitive, intellectual Pascoe".
BBC Worldwide subsequently approached Hill with a view to creating a new TV adaptation, to which Hill agreed. Actors Warren Clarke and Colin Buchanan were subsequently cast in the roles of Dalziel and Pascoe, and between 16 March 1996 and 22 June 2007, eleven series consisting of both novel adaptations and original stories were produced.
Cast
Gareth Hale as Insp. Andy Dalziel
Norman Pace as Sgt. Peter Pascoe
Christopher Fairbank as Det. Sgt. Edgar Wield
Freddie Jones as Dr. Gilbert Haggard
John McGlynn as Jack Shorter
Malcolm Storry as Insp. Ray Crabtree
Ursula Howells as Alice Andover
Elizabeth Spriggs as Annabelle Andover
John Woodvine as Godfrey Blengdale
Linda Marlowe as Gwen Blengdale
Paul Copley as Charlie Heppelwhite
John Simm as Clint Heppelwhite
Episodes
References
External links
1990s British television miniseries
1994 British television series debuts
1994 British television series endings
1990s British crime television series
1990s British drama television series
English-language television shows
ITV television dramas
Television series by ITV Studios
Television series by Yorkshire Television
Television shows set in Yorkshire |
https://en.wikipedia.org/wiki/Ismail%20al-Khalidi%20al-Minangkabawi | Ismail al-Khalidi al-Minangkabawi was an Islamic scholar who belonged to the Khalidiyya branch of the Naqshbandi tariqa in the 18th to 19th century. He hailed from today's Tanah Datar Regency, West Sumatra. He is regarded as the pioneer of the tariqa in Minangkabau region, as well as the whole Indonesian archipelago. He was also known as a scholar of Islamic jurisprudence, kalam theology and tasawwuf (the science of Islamic mysticism).
Biography
Early life
Ismail was born in a religious family and environment. He received the religious education since childhood. After studying the Qur'an in several suraus in his village, he learned the basics of Islamic science through kitab kuning written in Arabic-Malay script. Fields of Islamic science he studied include the jurisprudence, tawhid (science of monotheism), tafsir, hadith, and the sciences of the Arabic language.
Mecca years
He went to Mecca to perform the pilgrimage as well as to deepen the Islamic sciences he had previously acquired. He also studied in Medina for five years.
In Mecca, Ismail studied under the several renowned scholars who had expertise in their respective fields. He learned kalam theology under Sheikh Muhammad Ibn 'Ali Assyanwani. In the field of jurisprudence, he studied under Sheikh al-Azhar and Sheikh Abdullah ash-Syarqawi, both renowned as scholars of the Shafi'i school of jurisprudence. Ismail also studied the science of Sufism under two great Sufis named Sheikh 'Abdullah Afandi and Sheikh Khalid al-Uthmani al-Kurdi (Sheikh Dhiyauddin Khalid). Both were murshid (teacher of the spirituality) of Naqshbandi order.
Returning to Minangkabau
After studying in Mecca for 30 years, Ismail went back to West Sumatra and began the dissemination of the teachings of Naqshbandi tariqa. He began from his hometown, Simabur in Tanah Datar. The teachings of Ismail then spread outside Minangkabau, reaching places such as Riau, Sultanate of Langkat, Sultanate of Deli, and Sultanate of Johor. He taught tawheed based on Ash'ari and Sunni conception and jurisprudence based on Shafi'i madhhab. Regarding tasawwuf, Ismail followed the Sunni tasawwuf based on the teaching of al-Ghazali.
He began to spread the Khalidiyya-Naqshbandi tariqa after it was banned in 1827 by Sheikh Khalid al-Kurdi, one of his teachers in Mecca. During the time, Minangkabau region itself had seen the development of Shattari tariqa propagated by Sheikh Burhanuddin Ulakan earlier. Burhanuddin had developed the congregation for the first time in the archipelago in the 17th century. The latter tariqa, however, did not preclude Ismail's efforts in developing the Khalidiyya-Naqshbandi order. Both tariqas had developed in Minangkabau society, in which they gained footholds in different regions, with Shattari tariqa in the coastal regions and Naqshbandi tariqa in inland regions.
See also
Islam in West Sumatra
References
Bibliography
Dobbin, Christine. (1992). Kebangkitan Islam dalam ekonomi petani yang sedang be |
https://en.wikipedia.org/wiki/Quantum%20clustering | Quantum Clustering (QC) is a class of data-clustering algorithms that use conceptual and mathematical tools from quantum mechanics. QC belongs to the family of density-based clustering algorithms, where clusters are defined by regions of higher density of data points.
QC was first developed by David Horn and Assaf Gottlieb in 2001.
Original Quantum Clustering Algorithm
Given a set of points in an n-dimensional data space, QC represents each point with a multidimensional Gaussian distribution, with width (standard deviation) sigma, centered at each point’s location in the space. These Gaussians are then added together to create a single distribution for the entire data set. (This step is a particular example of kernel density estimation, often referred to as a Parzen-Rosenblatt window estimator.) This distribution is considered to be the quantum-mechanical wave function for the data set. Loosely speaking, the wave function is a generalized description of where there are likely to be data points in the space.
QC next introduces the idea of a quantum potential; using the time-independent Schrödinger equation, a potential surface is constructed which has the data set’s wave function as a stable solution. Details in the potential surface are more robust to changes in sigma (the width of the Gaussians) than the corresponding details in the wave function; this advantage is one of the initial motivations for the development of QC.
The potential surface is considered to be the ‘landscape’ of the data set, where 'low' points in the landscape correspond to regions of high data density. QC then uses gradient descent to move each data point ‘downhill’ in the landscape, causing points to gather together in nearby minima, thus revealing clusters within the data set.
QC has a single main hyperparameter, which is the width sigma of the Gaussian distribution around each data point. For sufficiently small sigma, every data point will define its own depression in the landscape, and no points will move, thus creating no clusters. For sufficiently large sigma, the landscape becomes a single smooth bowl, and every data point will cluster together at the single global minimum in the landscape. Exploring the range of sigma values between these extremes yields information about the inherent structure of the data set, including hierarchy of structure; smaller sigma values reveal more fine-grained local structure, and larger sigma values reveal overall global structure. The QC algorithm does not specify a preferred or ‘correct’ value of sigma.
Dynamic Quantum Clustering
Developed by Marvin Weinstein and David Horn in 2009, Dynamic Quantum Clustering (DQC) extends the basic QC algorithm in several ways.
Quantum Evolution, Non-Local Gradient Descent, and Tunneling
DQC uses the same potential landscape as QC, but it replaces classical gradient descent with quantum evolution. To do this, each data point is again represented by its individual wave function |
https://en.wikipedia.org/wiki/Aparna%20V.%20Huzurbazar | Aparna V. Huzurbazar is an American statistician known for her work using graphical models to understand time-to-event data. She is the author of a book on this subject, Flowgraph Models for Multistate Time-to-Event Data (Wiley, 2004).
Huzurbazar is a research scientist at the Los Alamos National Laboratory.
She graduated in 1988 with two bachelor's degrees from two different universities: one in mathematics from Claremont McKenna College,
and another in aerospace engineering from the University of Colorado Boulder. She completed a Ph.D. in statistics in 1994 at Colorado State University. Her dissertation, supervised by Ronald W. Butler, was Prediction in Stochastic Networks.
She took a faculty position at the University of Florida, but then moved to the University of New Mexico in 1996, and moved again to Los Alamos in 2007.
Huzurbazar is the daughter of noted Indian statistician V. S. Huzurbazar
and the sister of noted statistician Snehalata V. Huzurbazar;
her husband, Brian J. Williams of Los Alamos, is also a statistician.
All four are Fellows of the American Statistical Association; Aparna was elected as a Fellow in 2008, her father in 1983, Williams in 2015, and her sister in 2017.
Huzurbazar was also elected as a member of the International Statistical Institute in 2006.
References
Year of birth missing (living people)
Living people
American people of Indian descent
American statisticians
Women statisticians
Claremont McKenna College alumni
University of Colorado Boulder alumni
Colorado State University alumni
University of Florida faculty
University of New Mexico faculty
Elected Members of the International Statistical Institute
Fellows of the American Statistical Association |
https://en.wikipedia.org/wiki/Digital%20pill | A digital pill (also known as a smart pill, or ingestible sensor) is a pharmaceutical dosage form that contains an ingestible sensor inside of a pill. The sensor begins transmitting medical data after it is consumed. The technology that makes up the pill, as well as the data transmitted by the pill's sensor, are considered to be part of digital medicine. The purpose of the sensor is to determine whether the person is taking their medication or not (called "compliance"). There are privacy concerns with respect to who receives the data and what is done with it. Such privacy concerns, along with uncertain economic benefits, have made the broad introduction of digital pills in the healthcare practice challenging, despite accumulating body of clinical evidence indicating their efficacy and safety.
Overview
The first emergence of a swallowable electronic device was in 1957, this device used radio frequency to transmit temperature and pressure readings. The field lay stagnant until technology caught up with invention in the 1990s.
The first digital pill to be approved by the United States Food and Drug Administration (FDA), a version of aripiprazole (Abilify) manufactured by Otsuka Pharmaceutical, was approved in November 2017. This digital pill's sensor, developed by Proteus Digital Health, is activated by acid in the stomach, and generates an electrical signal that is picked up by a patch worn on the ribcage; the patch in turn forwards information to a smartphone app. The drug is taken by people with schizophrenia. People with the condition tend to have problems with adherence, and the digital pill could help with that; however, some people with schizophrenia have paranoia which the digital pill could make worse.
A video from the Wall Street Journal that shows an overview of how digital pills work can be found here.
Types of Digital Pills
The most common types of ingestible sensors are used for imaging, sensing different types of gasses, to monitor medication compliance or absorption of medication, and electrochemical signal sensing.
Imaging Capsules
Images and video require the highest bandwidth for data delivery. Ingestible capsules containing video cameras are used for generating images of the macroscopic structures of hollow organs, such as the stomach and small bowel. These devices are powered by batteries, can transmit video at up to 2.7 Mbit/s, and are less invasive than other traditional endoscopic imaging devices.
Gas Sensing Capsules
Gas Sensing Capsules utilize a gas-permeable membrane surrounding an electrochemical gas sensor and are primarily used to detect the partial-pressures of different gasses produced as the byproduct of metabolic reactions by bacteria in the intestines. The presence of gasses like carbon dioxide and methane in the gut provides useful data for analysis of metabolic and digestional health. This internal measurement of a body's organs provides a superior analysis in terms of accuracy and reliability as compar |
https://en.wikipedia.org/wiki/Fox%20Animation%20%28TV%20channel%29 | Fox Animation was a television channel in Italy owned by Fox Networks Group Italy, dedicated to animated series by Fox. The channel was launched on 15 December 2012.
Because of Sky Italia's deal with The Walt Disney Company Italy not being renewed, the channel was shut down on 1 October 2019, along with Disney XD, Disney in English, Fox Comedy and Nat Geo People.
Programming
The Simpsons
Futurama
Family Guy
American Dad
The Cleveland Show
Brickleberry
Bob's Burgers
King of the Hill
Bordertown
Son of Zorn
Archer
The Real Ghostbusters
References
Disney television networks
Fox Networks Group
Italian-language television stations
Defunct television channels in Italy
Television channels and stations established in 2012
Television channels and stations disestablished in 2019
2012 establishments in Italy
2019 disestablishments in Italy |
https://en.wikipedia.org/wiki/Thunbergioideae | Thunbergioideae is a subfamily of plants in the family Acanthaceae.
Genera
The USDA-ARS Germplasm Resources Information Network (GRIN) includes:
Anomacanthus R.D.Good
Mendoncia Vell. ex Vand.
Pseudocalyx Radlk.
Thunbergia Retz. (synonym Meyenia Nees)
References
External links
Acanthaceae
Asterid subfamilies |
https://en.wikipedia.org/wiki/Configuration%20model | In network science, the configuration model is a method for generating random networks from a given degree sequence. It is widely used as a reference model for real-life social networks, because it allows the modeler to incorporate arbitrary degree distributions.
Rationale for the model
In the configuration model, the degree of each vertex is pre-defined, rather than having a probability distribution from which the given degree is chosen. As opposed to the Erdős–Rényi model, the degree sequence of the configuration model is not restricted to have a Poisson distribution, the model allows the user to give the network any desired degree distribution.
Algorithm
The following algorithm describes the generation of the model:
Take a degree sequence, i. e. assign a degree to each vertex. The degrees of the vertices are represented as half-links or stubs. The sum of stubs must be even in order to be able to construct a graph (). The degree sequence can be drawn from a theoretical distribution or it can represent a real network (determined from the adjacency matrix of the network).
Choose two stubs uniformly at random and connect them to form an edge. Choose another pair from the remaining stubs and connect them. Continue until you run out of stubs. The result is a network with the pre-defined degree sequence. The realization of the network changes with the order in which the stubs are chosen, they might include cycles (b), self-loops (c) or multi-links (d) (Figure 1). Yet, the expected number of self-loops and multi-links goes to zero in the N → ∞ limit.
Self-loops, multi-edges and implications
The algorithm described above matches any stubs with the same probability. The uniform distribution of the matching is an important property in terms of calculating other features of the generated networks. The network generation process does not exclude the event of generating a self-loop or a multi-link. If we designed the process where self-loops and multi-edges are not allowed, the matching of the stubs would not follow a uniform distribution.
The expected total number of multi-links in a configuration model network would be:
where is the n-th moment of the degree distribution. Therefore, the average number of self-loops and multi-links is a constant for some large networks, and the density of self-loops and multi-links, meaning the number per node, goes to zero as as long as is constant and finite. For some power-law degree distributions where the second moment diverges, density of multi-links may not vanish or may do so more slowly than .
A further consequence of self-loops and multi-edges is that not all possible networks are generated with the same probability. In general, all possible realizations can be generated by permuting the stubs of all vertices in every possible way. The number of permutation of the stubs of node is , so the number of realizations of a degree sequence is . This would mean that each realization occurs with the |
https://en.wikipedia.org/wiki/Kitty%20AI%3A%20Artificial%20Intelligence%20for%20Governance | Kitty AI: Artificial Intelligence for Governance is a 2016 art project by artist and researcher Pinar Yoldas. It is a 12-minute 3D animation.
The work imagines a future where artificial intelligence takes over politics and an AI kitten becomes the first non-human governor in the year 2039. Kitty AI takes the format of a 3D animation where a digital kitten introduces itself as the first AI governor with extensive affective capacities such as being capable of loving millions of people, and delivers a speech about the grounds on which networks of artificial intelligence replace politicians.
The work both humorously and critically engages with a dystopian future which is given rise by some contemporary problems that concern global politics, such as climate change and population displacement. It also points to the uncanny intersections of algorithmic or machinic intelligence with the question of emotions.
Kitty AI has been exhibited in a number of venues such as Zorlu Center PSM in Istanbul (2017), Haus der Kulturen der Welt in Berlin (2017), STUK House for Dance, Image and Sound in Levuven (2017), Transfer Gallery in Brooklyn, New York (2017), as well as in Ann Arbor Film Festival in Michigan (2017).
References
External links
Review on YouTube
3D graphics art |
https://en.wikipedia.org/wiki/List%20of%20Apple%20TV%2B%20original%20programming | Beginning in 2016, Apple Inc. began to produce and distribute its own original content. The first television show produced by Apple was Planet of the Apps, a reality competition series. Their second, released in late 2017, was Carpool Karaoke: The Series based on the popular recurring segment from The Late Late Show with James Corden. Apple also released a short film, Peanuts in Space: Secrets of Apollo 10 in May 2019 prior to the release of Apple TV+.
In June 2017, Apple appointed Jamie Erlicht and Zack Van Amburg to head their newly formed worldwide video unit. By November, Apple confirmed that it was branching out into original scripted programming when announcing straight-to-series orders for two television shows: a reboot of the anthology series Amazing Stories by Steven Spielberg, and The Morning Show, a drama series starring Jennifer Aniston and Reese Witherspoon.
In 2017, Apple was reportedly planning on spending around $1 billion on original programming over the next year. Later that year, another report projected that they would spend $4.2 billion on original programming by 2022. In August 2019, it was reported that Apple had already spent over $6 billion on original programming.
On March 25, 2019, Apple announced their streaming service as Apple TV+, along with the announcement of Apple's slate of original programming. The service launched on November 1, 2019, in over 100 countries through the Apple TV app.
On March 13, 2020, Apple suspended active filming on most Apple TV+ shows due to the COVID-19 pandemic, with production on series being postponed indefinitely; Apple began to resume production on all series by late summer of 2020.
Original programming
Drama
Comedy
Kids & family
Animation
Adult animation
Kids & family
Non-English language scripted
Unscripted
Docuseries
Reality
Sports programming
Variety
Co-productions
These shows have been commissioned by Apple TV+ with a partner network.
Continuations
Specials
Upcoming original programming
Drama
Comedy
Animation
Kids & family
Non-English language scripted
Unscripted
Docuseries
Continuations
Specials
In development
Notes
References
External links
of Apple TV+
Apple TV+
Apple TV+
Apple TV+
Apple TV+ |
https://en.wikipedia.org/wiki/EOS.IO | EOS.IO is a blockchain protocol based on the cryptocurrency EOS. The smart contract platform claims to eliminate transaction fees and also conduct millions of transactions per second. It was developed by the private company Block.one and launched in 2017. The platform was later released as open-source software.
History
Based on a white paper published in 2017, the EOSIO platform was developed by the private company Block.one and released as open-source software on June 1, 2018. At the launch of the blockchain, one billion tokens were distributed as ERC-20 tokens by Block.one. The CEO of Block.one, Brendan Blumer, announced that the company would support the EOSIO blockchain with over one billion USD in funding from the token sale and ultimately Block.one raised over four billion USD to support the blockchain during the Initial Coin Offering (ICO) period.
The original test net, Dawn 1.0, was released on September 3, 2017, with test net versions Dawn 2.0 released on December 4, 2017, Dawn 3.0 on January 25, 2018, and Dawn 4.0 on May 7, 2018. The name of the cryptocurrency EOS comes from Ancient Greek Ἠώς, "dawn".
EOSIO's Dawn 1.0 was launched on the EOSIO mainnet on June 1, 2018, and is currently operating under version 2.1.0.
In September 2019, Block.one agreed to settle U.S. Securities and Exchange Commission charges related to the $4 billion unregistered ICO for a $24 million penalty. The settlement did not require a restitution offer, registration of tokens, or any disqualifications.
EOS Network Foundation
In August 2021, Yves La Rose founded the organization EOS Network Foundation (ENF). La Rose is an EOS enthusiast who disputes the way Block.one has managed to blockchain and its tokens. The organization has attempted to pressure Block.one into reinvesting its profits into development of the blockchain, and to support new development.
Block.one, EOSIO ecosystem and Everipedia
Block.one is a company registered in the Cayman Islands, which began offering EOS tokens in June 2017 to the public, raising over $4 billion (a record for an ICO). Daniel Larimer was the Chief Technology Officer of Block.one. Larimer had previously worked on the decentralized exchange Bitshares from 2013 to 2016. After that, he worked on Steemit, a blockchain-based social media platform. On January 10, 2021, Larimer announced his resignation from Block.one.
On December 6, 2017, Everipedia, a for-profit, wiki-based online encyclopedia, announced plans using EOS blockchain technology and work on an airdrop of a cryptocurrency called IQ to encourage generating information. The IQ tokens are intended to be exchangeable for Bitcoin. One of the goals of the company is to stop certain countries from blocking the content, by the integration of the blockchain model. The goal is that once Everipedia is decentralized and hosted on the EOSIO platform, countries such as Turkey and Iran that block Wikipedia will no longer be able to block it, via Everipedia's fork. Mike Novogr |
https://en.wikipedia.org/wiki/Parliamentary%20Broadcasting%20Unit | Parliamentary Broadcasting Unit (PBU) is a Kenyan terrestrial television network that was created in 2009 by the Parliament of Kenya with the assistance of the USAID with an aim to open up the democratic space. The PBU network televises live proceedings of both houses of parliament. The PBU network includes two television channels: Bunge TV, which broadcasts live sessions of the National Assembly covering Nairobi and parts of neighbouring counties, and Senate TV, which broadcasts live sessions of the Senate covering Nairobi and parts of neighbouring counties. Both channels are available on the Signet terrestrial free-to-air platform.
For nationwide coverage, PBU rides on the government owned TV Channel, KBC.
References
Television stations in Kenya
Publicly funded broadcasters |
https://en.wikipedia.org/wiki/Act.IL | Act.IL (also Act-IL) is a social networking service used by supporters of Israel to oppose online "anti-Israel content" such as the boycott, divestment and sanctions movement (BDS). Its activities have been referred to as "an online propaganda campaign" and "a virtual situation room of pro-Israel experts".
Act.IL directs its users to "missions" to like, comment on, and share pro-Israel material on social media. It also asks users to flag, report, and respond to unfair criticisms of Israel. Users are guided on how to respond, which might entail writing a reply using the provided talking points, or sharing or upvoting an allied comment. The app also provides users with ready-made memes promoting Israel's perspective for them to share. By completing missions users earn points, unlock badges, and have their scores displayed on leaderboards.
Act-IL is a joint project of the private Israeli university IDC Herzliya and the US-based Israeli-American Council. The Maccabee Task Force, one of Sheldon Adelson's foundations, is a major funder of Act.IL. The organization behind Act.IL is staffed by former intelligence officers and has a collegial relationship with the Israeli Intelligence Community. It has a close relationship with Israel's Ministry of Strategic Affairs which combats the BDS movement which it views as a threat.
According to Mondoweiss, an email sent in March of 2022 to the app's users announced that the app will be shut down but that users should continue to interact with Act.IL's content on its other social media platforms.
See also
References
Mobile social software
Non-governmental organizations involved in the Israeli–Palestinian conflict
Propaganda in Israel
Internet manipulation and propaganda
2017 software |
https://en.wikipedia.org/wiki/Digital%20Repository%20of%20Ireland | The Digital Repository of Ireland (DRI) is a digital repository for Ireland's humanities, social science and cultural heritage data. It was designed as an open access infrastructure that allows for interactive use and sustained growth. Three institutions, Royal Irish Academy (RIA), Trinity College Dublin (TCD), and Maynooth (now Maynooth University or MU), currently manage the repository and implement its policies, guidelines and training. The Department of Education and Skills has primarily funded DRI since 2016 through the Higher Education Authority and the Irish Research Council. As of 2018, DRI is home to over 28,000 items.
History
The DRI was established in 2011 after receiving €5.2 million in funding through the Irish government's Higher Education Authority. The Programme for Research in Third Level Institutions (PRTLI) would support the project for four years. Launched on 24 June 2015 at Croke Park, DRI began as a consortium of six Irish academic institutions: Royal Irish Academy (RIA), National University of Ireland, Maynooth (now Maynooth University or MU), Trinity College Dublin (TCD), Dublin Institute of Technology (DIT), National University of Ireland, Galway (NUIG), and National College of Art and Design (NCAD). It earned the Data Seal of Approval as a Trusted Digital Repository (TDR) in 2015. In 2018, it was awarded the Core Trust Seal, superseding previous certification. DRI became a member of the Research Data Alliance in August 2018.
Organization
The governing body for DRI is a management board which is composed of representatives of each of the academic institutions, who serve three-year terms. The Core Implementation Team (CIT) is responsible for the day-to-day running of the Repository as well as strategy development, coordination and project delivery. The CIT is composed of the DRI Director, DRI Principal Investigators and Institutional representatives, and the DRI Programme Manager in RIA. In addition, an International Advisory Group of eight experts ensures DRI maintains ties with other digital repositories across the globe. The International Advisory Group meets annually to provide oversight and feedback and sustain best practices.
DRI staff is composed of professionals from diverse backgrounds such as librarians, digital archivists, educators, and software engineers who support all aspects of governance, operations and management, and taskforces. As of 2018, there are fifteen full-time staff members.
The DRI has three main areas of focus: Technology, Policy, and Education and Outreach. The technological software protects and preserves the data while allowing easy searching and navigation through the material. Development of policy protocols for data generation and preparation for archiving is a core remit of DRI. Education and Outreach include a training programme and direct contact with the public through workshops and newsletters.
Collections
Types
DRI Collections cover historical and contemporary Irish cultu |
https://en.wikipedia.org/wiki/Computing%20and%20Communications%20Museum%20of%20Ireland | The Computing and Communications Museum of Ireland was founded in 2010, and is located at the Insight Centre for Data Analytics at the DERI Building, University of Galway.
The museum curates a collection of historical computing machines and artefacts. It is also involved in education and outreach to encourage young people to consider science and engineering careers.
References
External links
The Computing and Communications Museum of Ireland website
Buildings and structures of the University of Galway
Museums in Ireland |
https://en.wikipedia.org/wiki/Cliff%20Lampe | Clifford Lampe is a Professor in the School of Information at the University of Michigan. He is best known for his research in the fields of human-computer interaction, social computing, and computer supported cooperative work. Since 2018 he has been Executive Vice President for ACM SIGCHI. Lampe made foundational contributions in the areas of social networking sites, social capital, and online communities, work that has been cited over 34,000 times according to Google Scholar.
Education
Cliff Lampe was born in Michigan and attended Kalamazoo College for his undergraduate studies. He received a Ph.D. at the University of Michigan in 2006 in the School of Information where he was advised by Paul Resnick. His thesis examined the effects of comment ratings on site participation on the website Slashdot. After graduating from the University of Michigan, Lampe became an assistant professor at Michigan State University in the College of Communication Arts and Sciences.
Research, teaching, and service
Lampe currently advises graduate and undergraduate students in the areas of online harassment, incivility online, and civic engagement online. He has developed a citizen interaction course that partners students with local communities to design technologies that support community needs. Lampe received a grant from the National Science Foundation in 2009 to pursue his work on "the role of social network sites in facilitating collaborative processes". He received a grant from the University of Michigan Third Century Initiative in 2013 to support his Citizen Interaction project.
He is a frequent consultant, speaker, and guest lecturer on topics related to social media and online behavior. He is regularly cited in the press on topics like fake news, privacy, and trolling. He was the technical program chair for the 2016 ACM SIGCHI Conference on Human Factors in Computing Systems and the General Co-Chair for the 2022 ACM SIGCHI Conference.
Awards
In 2014, Lampe received the Joan Durrance Community Engagement Award for his Citizen Interaction Design program.
In 2013, Lampe (with Eytan Adar and Paul Resnick) received a Google Award for his "MTogether: A Living Lab For Social Media Research" project.
Selected works
2007. "The benefits of Facebook "friends:" Social capital and college students' use of online social network sites". (with Nicole Ellison and Charles Steinfeld)
2008. "Social capital, self-esteem, and use of online social network sites: A longitudinal analysis". (with Charles Steinfeld and Nicole Ellison)
2004. "Slash (dot) and burn: distributed moderation in a large online conversation space". (with Paul Resnick)
References
Living people
University of Michigan School of Information alumni
Kalamazoo College alumni
University of Michigan faculty
Human–computer interaction researchers
Social computing researchers
Year of birth missing (living people) |
https://en.wikipedia.org/wiki/Nicole%20Ellison | Nicole Ellison is the Karl E Weick Collegiate professor in the School of Information at the University of Michigan. She is best known for her research in the fields of computer-mediated communication, social media, and social networking sites. Her research has been cited over 63,000 times according to Google Scholar.
Education
Nicole Ellison was born in Los Angeles and received her B.A. cum laude in English at Barnard College at Columbia University in 1990. She received her MA from the Annenberg School for Communication at the University of Southern California in 1998 and her PhD from there in 1999. She was a professor at Michigan State University before joining the School of Information at the University of Michigan. During the 2019–2020 academic year, Ellison was a fellow at the Center for Advanced Study in the Behavioral Sciences (CASBS) at Stanford University.
Research, teaching, and service
Ellison has made foundational contributions in the areas of computer-mediated communication, mediated interpersonal interaction, self-presentation, use of social media in organizations, relationship initiation and maintenance in online contexts, and online dating sites. Her 2007 and 2013 articles on social network sites (with danah boyd) have over 23,000 citations. Her work on Facebook relationship maintenance has been cited by and adopted in a variety of scholarly articles, and she is frequently sought as a speaker, advisor, and collaborator in these areas. She received a grant from the National Science Foundation in 2009 to pursue her work on "the role of social network sites in facilitating collaborative processes". She also received a grant from the Bill & Melinda Gates Foundation and the College Knowledge Challenge group to explore the potential for social media to address college-going behaviors among low-income and first-generation college students.
She was named an International Communication Association Fellow in 2019. From 2016 to 2019, Ellison served as the Director of the Doctoral Program at the School of Information.
Media
Ellison is frequently sought for expert commentary on social media. She has been quoted in mainstream news articles on popular social media sites like Facebook and Snapchat, on news and social media, and on relationships and social media.
Selected works
2006. "Managing impressions online: Self‐presentation processes in the online dating environment". (with Rebecca Heino and Jennifer Gibbs)
2007. "Social network sites: Definition, history, and scholarship". (with danah boyd)
2008. "Social capital, self-esteem, and use of online social network sites: A longitudinal analysis". (with Charles Steinfeld and Cliff Lampe)
2007. "The benefits of Facebook "friends:" Social capital and college students’ use of online social network sites". (with Cliff Lampe and Charles Steinfeld)
2011. Connection strategies: Social capital implications of Facebook-enabled communication practices. (with Charles Steinfeld and Cliff Lampe)
201 |
https://en.wikipedia.org/wiki/Music%20ownership%20databases | Music ownership databases are lists of the owners of compositions and the people who represent them. Often, a piece of music will have more than one owner. This is caused by Publishing contracts, co-writing, band contracts, label deals, and similar music contracts. Music ownership databases are created from the idea that with more transparency about the owners of musical compositions, the lower the costs become to create and use music. For example, a derivative license is needed when a portion of a piece of music is used in a different piece, which is a common practice in hip hop music, among other genres. In American copyright laws, a derivative work must have permission from every owner of the original work. If it is not known who the original owner of the work was and artists use it anyway, then they can be sued for copyright infringement. A music ownership database, major industry players speculate, would eliminate this problem. This is apparent through the amount of time and money spent in attempting to create this database.
Earlier attempts
International Music Joint Venture
The International Music Joint Venture (IMJV) started in 1998. It was the first joint partnership to create a database between multiple different collective management organizations (CMOs). BUMA/STEMRA (Netherland), PRS (UK) and ASCAP (USA) were the founders. The database was supposed to be created using the metadata stored on Utrecht and London computers. IMJV invited many CMOs like SGAE (Spain), BMI (USA) and Harry Fox Agency, but for one reason or another many organizations did not join. Problems started to rise because IMJV was a way for STEMRA to move around employees they could not fire because of the laws in Holland at the time. When IMJV invited GEMA (Germany), they refused because they would have to fire their staff because the deal required STEMRA staff to take their place. Smaller CMOs started to believe that they would become redundant if IMJV launched. The larger CMOs who had already joined became reluctant to reduce their status and profitability by releasing the information for their repertoire. In late 2001, the initiative dissolved without a single operating office. At its peak, IMJV represented 21% of the world's music.
International Music Registry
In 2011, the International Music Registry (IMR) launched. This was a database headed by the World Intellectual Property Organization (WIPO). IMR was a database not only for composition but also for recordings. Google agreed to fund WIPO early on, but WIPO broke their partnership after they thought the alliance would give Google too much power. Instead, WIPO tried to fund the project themselves. In-fighting among the different powerhouses like record labels and publishing houses caused the IMR to collapse.
Global Repertoire Database
The Global Repertoire Database was started by the PRS in September 2008. This database had representatives from publishing houses, record labels, Google, iTunes, Monifone, and |
https://en.wikipedia.org/wiki/Regina%20Barzilay | Regina Barzilay (born 1970) is an Israeli-American computer scientist. She is a professor at the Massachusetts Institute of Technology and a faculty lead for artificial intelligence at the MIT Jameel Clinic. Her research interests are in natural language processing and applications of deep learning to chemistry and oncology.
Education
Barzilay was born in Chișinău, Moldova and emigrated to Israel with her parents at the age of 20. She received bachelor and masters degrees from Ben-Gurion University of the Negev in 1993 and 1998, respectively. She obtained a PhD in computer science from Columbia University in 2003 for research supervised by Kathleen McKeown.
Career and research
After her PhD, she spent a year as a postdoctoral researcher at Cornell University. She was appointed as Delta Electronics Professor of Electrical Engineering and Computer Science at MIT in 2016. She was diagnosed with breast cancer in 2014, which prompted her to conduct research in oncology. Barzilay won the MacArthur Fellowship in 2017.
For her doctoral dissertation at Columbia University, she led the development of Newsblaster, which recognized stories from different news sources as being about the same basic subject, and then paraphrased elements from the stories to create a summary.
In computational linguistics, Barzilay created algorithms that learned annotations from common languages (i.e. English) to analyze less understood languages.
Prompted by her experience with breast cancer, Barzilay is applying machine learning to oncology. She is collaborating with physicians and students to devise deep learning models that utilize images, text, and structured data to identify trends that affect early diagnosis, treatment, and disease prevention.
MIT Jameel Clinic
In 2018, Barzilay was appointed faculty lead for AI at the new MIT Jameel Clinic, a research center in the field of AI health sciences, including disease detection, drug discovery, and the development of medical devices. In 2020, she was part of the team—with fellow MIT Jameel Clinic faculty lead Professor James J. Collins—that announced the discovery through deep learning of halicin, the first new antibiotic compound for 30 years, which kills over 35 powerful bacteria, including antimicrobial-resistant tuberculosis, the superbug C. difficile, and two of the World Health Organization's top-three most deadly bacteria. In 2020, Collins, Barzilay and the MIT Jameel Clinic were also awarded funding through The Audacious Project to expand on the discovery of halicin in using AI to respond to the antibiotic resistance crisis through the development of new classes of antibiotics.
Awards and recognition
In 2017, Barzilay won the MacArthur Fellowship, known as the "Genius Grant", for "developing machine learning methods that enable computers to process and analyze vast amounts of human language data." She is also a recipient of various awards including the NSF Career Award, the MIT Technology Review TR-35 Award, Mi |
https://en.wikipedia.org/wiki/MirGeneDB | MirGeneDB is a database of manually curated microRNA genes that have been validated and annotated as initially described in Fromm et al. 2015 and Fromm et al. 2020. MirGeneDB 2.1 includes more than 16,000 microRNA gene entries representing more than 1,500 miRNA families from 75 metazoan species and published in the 2022 NAR database issue. All microRNAs can be browsed, searched and downloaded.
Eutheria (Placental mammals)
Human (Homo sapiens) (567 genes, 268 families)
Rhesus monkey (Macaca mulatta) (520 genes, 235 families)
House mouse (Mus musculus) (452 genes, 224 families)
Norway rat (Rattus norvegicus) (420 genes, 189 families)
Guinea pig (Cavia porcellus) (402 genes, 184 families)
Rabbit (Oryctolagus cuniculus) (391 genes, 185 families)
Dog (Canis familiaris) (455 genes, 211 families)
Cow (Bos taurus) (459 genes, 214 families)
Nine-banded armadillo (Dasypus novemcinctus) (380 genes, 169 families)
Lesser hedgehog tenrec (Echinops telfairi) (350 genes, 166 families)
Metatheria (Marsupial mammals)
Tasmanian devil (Sarcophilus harrisii) (465 genes, 161 families)
Gray short-tailed opossum (Monodelphis domestica) (505 genes, 171 families)
Monotremata
Platypus (Ornithorhynchus anatinus) (402 genes, 149 families)
Aves (Birds)
Chicken (Gallus gallus) (286 genes, 136 families)
Rock pigeon (Columba livia) (257 genes, 121 families)
Zebra finch (Taeniopygia guttata) (257 genes, 115 families)
Crocodylia (Alligators and Crocodiles)
American alligator (Alligator mississippiensis) (283 genes, 113 families)
Testudines (Turtles)
Western painted turtle (Chrysemys picta bellii) (301 genes, 124 families)
Squamata (Lizards and Snakes)
Green anole lizard (Anolis carolinensis) (267 genes, 118 families)
Burmese python (Python bivittatus) (248 genes, 96 families)
Schlegels Japanese gecko (Gekko japonicus) (262 genes, 99 families)
Rhynchocephalia (beak-heads)
Tuatara (Sphenodon punctatus) (225 genes, 102 families)
Anura (Frogs and Toads)
African clawed frog (Xenopus laevis) (505 genes, 118 families)
Tropical clawed frog (Xenopus tropicalis) (355 genes, 106 families)
Gymnophiona (Apoda)
Microcaecilia (Microcaecilia unicolor) (245 genes, 97 families)
Actinista (Coelacanths)
Coelacanth (Latimeria chalumnae) (232 genes, 91 families)
Teleostei (Teleost fish)
Pufferfish (Tetraodon nigroviridis) (287 genes, 97 families)
Cod (Gadus morhua) (338 genes, 120 families)
Asian swamp eel (Monopterus albus) (343 genes, 108 families)
Zebrafish (Danio rerio) (414 genes, 113 families)
Holostei (Gars and Bowfins)
Spotted gar (Lepisosteus oculatus) (273 genes, 104 families)
Chondrichthyes (Cartilaginous fish)
Cloudy Catshark (Scyliorhinus torazame) (248 genes, 91 families)
Australian ghostshark (Callorhinchus milii) (271 genes, 110 families)
Cyclostomata
Inshore hagfish (Eptatretus burgeri) (180 genes, 77 families)
Sea Lamprey (Petromyzon marinus) (216 genes, 83 families)
Urochordata (Sea squirts)
Sea Sq |
https://en.wikipedia.org/wiki/Stellar%20Photo%20Recovery | Stellar Photo Recovery, previously known as Stellar Phoenix Photo Recovery, is a multimedia files recovery utility for both Windows and Mac based computers and is developed by Stellar.
References
External links
Data recovery
Data recovery software
Hard disk software
Shareware
Computer data |
https://en.wikipedia.org/wiki/Matthew%20J.%20Salganik | Matthew Jeffrey Salganik (born 1976) is an American sociologist and professor of sociology at Princeton University with a special interest on social networks and computational social science.
Career
Salganik received his bachelor's degree in mathematics at Emory University in 1998. He proceeded to get his master's degree in sociology at Cornell University in 2003, where he also lived in the Telluride House. He finished his Ph.D. in sociology (with distinction) at Columbia University in 2007. Salganik was hired by Princeton in 2007 as an assistant professor and was promoted to full professor in 2013. Alongside this, he also currently serves as the Director of the Center for Information Technology Policy. Salganik is affiliated with interdisciplinary research centers at Princeton, such as the Office for Population Research, the Center for Information Technology Policy, the Center for Health and Wellbeing, and the Center for Statistics and Machine Learning. In 2017, he and Chris Bail co-founded Summer Institute in Computational Social Science (SICSS), an annual program that provides learning and research opportunities for students, faculty, and researchers across the world within the realm of data science and social science.
His research has been previously funded by the National Science Foundation, National Institutes of Health, Joint United Nations Programs for HIV/AIDS, Russell Sage Foundation, Sloan Foundation, Facebook, and Google.
Publications
Salganik published his first book Bit by Bit, on December 5, 2017, in which he explores the birth and spread of social media and other digital advancements and how this has ultimately changed the way social scientists and data scientists can conduct research to collect and process data on human behavior.
Other publications include articles in Science, PNAS, Sociological Methodology, and Journal of the American Statistical Association. His work has appeared in The New York Times, Wall Street Journal, Journal Economist, and The New Yorker.
Awards
Salganik won the Outstanding Article Award from the Mathematical Sociology Section of the American Sociological Association in 2005. He won the Outstanding Statistical Application Award from the American Statistical Association in 2008.
Outstanding Article Award (2005)
Outstanding Statistical Application Award (2008)
Google Faculty Research Award (2011)
Leo Goodman Early Career Award (2015).
References
1976 births
Living people
Princeton University faculty
American sociologists
Columbia Graduate School of Arts and Sciences alumni |
https://en.wikipedia.org/wiki/Lucky%20Mobile | Lucky Mobile is a Canadian prepaid mobile virtual network operator and a subsidiary of Bell Canada. Founded in December 2017, Lucky Mobile operates on the Bell Mobility network alongside fellow subsidiary Virgin Plus. It targets the same market segment as discount mobile brands Chatr (owned by Rogers Communications) and Public Mobile (owned by Telus).
History
After being announced on December 1, 2017, Lucky Mobile launched on December 4. At launch, the network is available for users in 17 metro areas in Canada. The launch was viewed as a way for BCE to compete with the discount mobile brands Chatr and Public Mobile operated by its competitors Rogers Communications and Telus, respectively. Like Chatr, Lucky Mobile offers a limited selection of low end smartphones for sale outright. In March 2018, the carrier's service area expanded to include Saskatchewan and Manitoba.
Network
Lucky Mobile operates as a mobile virtual network operator offering pre-paid calling, texting, and 3G and 4G throttled speed data running on Bell Mobility's 4G network with pre-paid plans in select Canadian markets. In independent speed tests conducted in April 2018, although the Lucky Mobile network shows as 4G on users’ mobile phones, speed tests show maximum download speeds around 3 Mbps which would indicate that speeds on the Lucky Mobile network are indeed throttled.
Customers with eSIM enabled smartphones and devices are able to purchase eSIM from Lucky mobile and connect to the network without a physical SIM card.
Phones
Lucky Mobile carries five smartphones and one flip phone.
Retail presence
Lucky Mobile SIM cards are sold in Visions Electronics, Walmart, Circle K, Glentel (T-Booth Wireless, Wireless Wave), The Source, Giant Tiger and Dollarama locations. In addition, customers can also order cards by phone or on the company's website. At launch, the company does not operate any stand-alone locations.
References
External links
Bell Canada
Mobile phone companies of Canada
Telecommunications companies of Canada
Telecommunications companies established in 2017
Canadian companies established in 2017 |
https://en.wikipedia.org/wiki/KTA%20Super%20Stores | KTA Super Stores is an American company with its headquarters in Hilo, Hawaii, United States, and has the largest network of supermarkets on the Big Island.
In General
KTA Super Stores' history goes back to 1916 when Koichi and Taniyo Taniguchi, with their associates, established a small food store in Hilo, Hawaii. A hundred years after this start, it grew to have a network of six supermarkets on the Big Island.
In 1941, KTA opened a branch store in downtown Hilo. As the original store perished in the tsunami of the 1946 Aleutian Islands earthquake, they continued their business in this downtown store. In 1953, they expanded it to become a supermarket.
KTA now has a chain of six supermarkets:
Hilo downtown store (opened 1941)
Kailua Kona store (1959) - moved to the current location in 1975
Puainako, Hilo, store (1966)
Keauhou store (1984)
Waimea store (1989)
Waikoloa Village store (1990)
Kealakekua, Hawaii Express store (2018)
In its hundred-year history, KTA always responded to its customers of the community each store serves, such as providing with the Asian food corner.
KTA's competitors are the local Hawaiian supermarkets, such as Foodland Hawaii and Sack 'n Save, and the nationwide supermarkets, such as Safeway, Costco, Walmart etc.
See also
Foodland Hawaii
References
External links
（KTA Super Stores）
Supermarkets of the United States
Grocery stores in Hawaii
Retail companies based in Hawaii
1916 establishments in Hawaii
Retail companies established in 1916 |
https://en.wikipedia.org/wiki/Project%20Alamo | "Project Alamo" was a database of voter information created for Donald Trump's 2016 presidential campaign and an associated fundraising and political advertising operation on social media platforms. It was organized by the Giles-Parscale firm in San Antonio, Texas. The campaign paid Giles-Parscale as much as $94 million for fundraising, political advertising, and digital media services, including the creation of Trump's website. A new database of voter information named "Project Alamo" was at the heart of Giles-Parscale's efforts, allowing highly targeted advertising on social media platforms. The advertising campaigns added to the database over time, driving more effective targeting. The scale of the fundraising and political advertising campaigns on social media was massive, with hundreds of thousands of targeted ads being delivered daily. Project Alamo has been credited as an important factor in Trump's 2016 victory.
Fundraising
Giles-Parscale raised over $250 million for Donald Trump, primarily through Facebook. Giles-Parscale used targeting tools that are part of the Facebook advertising platform to deliver carefully crafted ads soliciting small donations from specific audiences defined by demographics, interests, and affinities. When a contributor would make a small donation, that person's information would be rolled up in a database of contributors that the firm would then reach more directly for future fundraising efforts. Facebook was thus used for cost-effective donor discovery, essentially a funnel for new contributors.
After the election, Brad Parscale, a principal at Giles-Parscale and the Trump campaign's Digital Director, described how the Facebook fundraising funnel worked: "Maybe you see an ad on Facebook and donate $5. Now you're in my system. So now it doesn't become efficient for me to get money from you on Facebook because they charge me. So I start using other means; cell phone, email and other operations to get to you to make further donations."
Giles-Parscale targeted fundraising ads through Facebook's "Lookalike Audiences" tool, finding new people with similar characteristics to known Trump supporters based on demographics, interests, and affinities. The inputs for lookalike targeting included a database of Trump supporters from the campaign as well as multiple data sources from the Republican National Committee. Once the lookalike audience profiles were defined, ads could then be targeted and served to them based on what was known about them. Giles-Parscale created and A/B-tested thousands of ad variants, tuning them for maximum effectiveness.
Facebook allows micro-targeting down to neighborhoods (geographically) and also by very narrow interests and affinities.
Political advertising
The fundraising ads created to attract donors also contained key political messages and themes for the Trump campaign, so the fundraising ads doubled as political ads. The cost to surface a fundraising ad would naturally drop as more |
https://en.wikipedia.org/wiki/American%20Idol%20%28season%2016%29 | The sixteenth season of American Idol premiered on March 11, 2018, on the ABC television network. It was the show's first season to air on ABC, and after 15 years, Ryan Seacrest continued his role as host, while Luke Bryan, Katy Perry, and Lionel Richie joined the show as judges. Maddie Poppe won this season on May 21, 2018, while Caleb Lee Hutchinson was the runner-up, and Gabby Barrett finished in third place.
Background
In early 2017, Variety reported that FremantleMedia was in talks to revive the show for either NBC or Fox. A dispute between Fremantle and Core Media Group derailed these plans. In May 2017, it was announced that ABC was making a bid to revive the program. Later, ABC announced that it had acquired the rights to the series and that American Idol would return for the 2017–18 television season. On November 6, 2017, it was announced that the revival would premiere on March 11, 2018.
On July 20, 2017, it was announced on Live with Kelly and Ryan that Ryan Seacrest would return as host for the revival season. On May 16, 2017, Katy Perry was the first judge to be announced by ABC. On September 24, Luke Bryan was announced for a second judge, and on September 29, Lionel Richie was announced as the final. On February 21, 2018, it was announced that iHeartRadio radio personality Bobby Bones would serve as the mentor for the top 24 this season.
On April 23, 2018, ABC announced that the April 29, May 6, and May 13 live shows of the season would air across all mainland U.S. time zones, a first for American Idol.
Regional auditions
In June 2017, it was announced that American Idol would begin two bus tours in 19 cities, and this was later increased to 22, for auditions beginning on August 17, 2017. Those who passed their first audition went in front of the producers, where they would be selected to appear before the judges in different cities. Instead of focusing on a city in each episode as had been the case in previous seasons, each episode this season showed a compilation of auditions from different cities.
During the live broadcast of the 2017 American Music Awards, three contestants who did not advance after their auditions in front of the judges were given one more chance to convince the audience to vote for them. The winner of the golden ticket to Hollywood was then revealed the following night on an episode of Dancing with the Stars. Lionel Richie appeared in the show and announced that the vote was in favor of Britney Holmes, a 28-year-old vocal coach from Texas, who advanced to Hollywood as the first semifinalist of the season.
Hollywood week
Hollywood Week aired over two episodes on March 26 and April 1. It featured three rounds: lines of ten, a group round, and a solo round. In the first round, each contestant sang individually, and after ten had sung, they gathered in a line. Those who impressed the judges and the producers were advanced to the next round, where the contestants performed together in groups of four or fiv |
https://en.wikipedia.org/wiki/Milestones%20%28video%20game%29 | Milestones is a 1981 video game published by Creative Computing for the Apple II.
Description
Milestones is a computer auto race card game similar to Touring. The players receive cards that contain events occurring during a car race. Some of these move the player forward towards the 1000 mile point, and the general goal is to play enough of these to cross the line first. Other cards are hazards that can be played against the opponent, or solutions to those hazards. For instance, a hazard might be a flat tire card, while the remedy is a spare tire card. Normally played by two or more players, in Milestones the computer can play the other hands.
Reception
Forrest Johnson reviewed Milestones in The Space Gamer No. 40. Johnson commented that "Milestones is not for the average wargamer - strategy can be optimized much too easily. Still, it is a good game for people who enjoy solitaire."
References
External links
Review in Softalk
1981 video games
Apple II games
Apple II-only games
Digital card games
Video games developed in the United States |
https://en.wikipedia.org/wiki/Sumer%20%28video%20game%29 | Sumer is a 1981 video game published by Crystal Computer for Apple II, Atari 8-bit family, Commodore PET, and TRS-80.
Contents
Sumer is a game in which the player tries to establish a kingdom by managing it as it grows.
Reception
Jon Mishcon reviewed Sumer in The Space Gamer No. 40. Mishcon commented that "If you enjoy multiparameter city-state type games then I recommend you avoid this. Buy Santa Paravia instead."
References
External links
1981 video games
Apple II games
Atari 8-bit family games
Commodore PET games
Single-player video games
TRS-80 games
Turn-based strategy video games
Video games developed in the United States |
https://en.wikipedia.org/wiki/Lund%20University%20Libraries | Lund University Libraries is a network of public research libraries in Lund, Sweden.
References
Literature
External links
Official site (English)
Main branch, official site (English)
Academic libraries in Sweden |
https://en.wikipedia.org/wiki/Amazon%20Neptune | Amazon Neptune is a managed graph database product published by Amazon.com. It is used as a web service and is part of Amazon Web Services (AWS). It was announced on November 29, 2017. Amazon Neptune supports popular graph models property graph and W3C's RDF, and their respective query languages Apache TinkerPop's Gremlin, openCypher, and SPARQL, including other Amazon Web Services products.
Amazon Neptune general availability (GA) was announced on May 30, 2018 and is currently available in 22 regions. Neptune is HIPAA eligible. On December 12, 2018, it was announced that Amazon Neptune was in-scope for Payment Card Industry Data Security Standard, and ISO compliance programs.
History
Amazon Neptune is based on Blazegraph. Amazon acquired the Blazegraph developers and the Blazegraph open source development was essentially stopped in April 2018.
Features
External support
Amazon Neptune supports the open source Apache TinkerPop Gremlin graph traversal language, openCypher query language for property graphs, and the W3C standard Resource Description Framework's (RDF) SPARQL query language. All three can be used on the same Neptune instance, and allows the user to build queries to navigate highly connected data sets and provides high performance for both graph models. Neptune also uses other AWS product features such as those of Amazon S3, Amazon EC2 and Amazon CloudWatch.
Security
All Amazon Neptune database clusters are created and stored in an Amazon Virtual Private Cloud (VPC), which allows the user to isolate their database in their own private network. Using Neptune's VPC configuration, the user can configure firewall settings to their needs in order to control network access to database instances. Amazon Neptune is integrated with AWS Identity and Access Management (IAM), which allows the user to create AWS IAM groups and control the actions that the groups and other AWS IAM users can do. Neptune allows the user to encrypt databases using keys created through AWS Key Management Service (KMS). A database instance running with Neptune Encryption, encrypts all of the stored data, backups, snapshots and replicas in the same cluster. Amazon Neptune allows the user to use HTTPS to encrypt data during its transfer to and from clients or Neptune service endpoints using Transport Layer Security (TLS).
Storage
The data is stored in a cluster volume, a virtual volume utilizing SSD drives. These sizes of these volumes are dynamic, they increase depending how much data is stored in the database, with a maximum of 64 TB. The Amazon Neptune SLA policy is designed to offer a monthly uptime percentage greater that of 99.9%, increasing database performance and availability by integrating the engine with a virtual storage based on SSD drives, that are specially made for database workloads. Neptune maintains copies of the user's data in multiple Availability Zones. In case of failures, Neptune automatically detects any failed segments in a disk volume |
https://en.wikipedia.org/wiki/Multifidelity%20simulation | Multifidelity (or multi-fidelity) methods leverage both low- and high-fidelity data in order to maximize the accuracy of model estimates, while minimizing the cost associated with parametrization. They have been successfully used in impedance cardiography, wing-design optimization, robotic learning, computational biomechanics, and have more recently been extended to human-in-the-loop systems, such as aerospace and transportation. They include both model-based methods, where a generative model is available or can be learned, in addition to model-free methods, that include regression-based approaches, such as stacked-regression. A more general class of regression-based multi-fidelity methods are Bayesian approaches, e.g. Bayesian linear regression, Gaussian mixture models, Gaussian processes, auto-regressive Gaussian processes, or Bayesian polynomial chaos expansions.
The approach used depends on the domain and properties of the data available, and is similar to the concept of metasynthesis, proposed by Judea Pearl.
Data fidelity spectrum
The fidelity of data can vary along a spectrum between low- and high-fidelity. The next sections provide examples of data across the fidelity spectrum, while defining the benefits and limitations of each type of data.
Low fidelity data (LoFi)
Low-fidelity data (LoFi) includes any data that was produced by a person or Stochastic Process that deviates from the real-world system of interest. For example, LoFi data can be produced by models of a physical system that use approximations to simulate the system, rather than modeling the system in an exhaustive manner.
Moreover, in human-in-the-loop (HITL) situations the goal may be to predict the impact of technology on expert behavior within the real-world operational context. Machine learning can be used to train statistical models that predict expert behavior, provided that an adequate amount of high-fidelity (i.e., real-world) data are available or can be produced.
LoFi benefits and limitations
In situations when there is not an adequate amount of high-fidelity data available to train the model, low-fidelity data can sometimes be used. For example, low-fidelity data can be acquired by using a distributed simulation platform, such as X-Plane, and requiring novice participants to operate in scenarios that are approximations of the real-world context. The benefit of using low-fidelity data is that they are relatively inexpensive to acquire, so it is possible to elicit larger amounts of data. However, the limitation is that the low-fidelity data may not be useful for predicting real-world expert (i.e., high-fidelity) performance due to differences between the low-fidelity simulation platform and the real-world context, or between novice and expert performance (e.g., due to training).
High-fidelity data (HiFi)
High-fidelity data (HiFi) includes data that was produced by a person or Stochastic Process that closely matches the operational context of interest. |
https://en.wikipedia.org/wiki/Data%20query%20language | Data query language (DQL) is part of the base grouping of SQL sub-languages. These sub-languages are mainly categorized into four categories: a data query language (DQL), a data definition language (DDL), a data control language (DCL), and a data manipulation language (DML). Sometimes a transaction control language (TCL) is argued to be part of the sub-language set as well.
DQL statements are used for performing queries on the data within schema objects. The purpose of DQL commands is to get the schema relation based on the query passed to it.
Although often considered part of DML, the SQL SELECT statement is strictly speaking an example of DQL. When adding FROM or WHERE data manipulators to the SELECT statement the statement is then considered part of the DML.
Related language types
Data definition language
Data manipulation language
Data control language
Transactional control language
Data modeling
SQL |
https://en.wikipedia.org/wiki/Ackley%20function | In mathematical optimization, the Ackley function is a non-convex function used as a performance test problem for optimization algorithms. It was proposed by David Ackley in his 1987 PhD dissertation.
On a 2-dimensional domain it is defined by:
Its global optimum point is
See also
Test functions for optimization
Notes
Mathematical optimization |
https://en.wikipedia.org/wiki/AI%20aftermath%20scenarios | Many scholars believe that advances in artificial intelligence, or AI, will eventually lead to a semi-apocalyptic post-scarcity economy where intelligent machines can outperform humans in nearly, if not every, domain. The questions of what such a world might look like, and whether specific scenarios constitute utopias or dystopias, are the subject of active debate.
Background
Most scientists believe that AI research will at some point lead to the creation of machines that are as intelligent, or more intelligent, than human beings in every domain of interest. There is no physical law precluding particles from being organised in ways that perform even more advanced computations than the arrangements of particles in human brains; therefore superintelligence is physically possible. In addition to potential algorithmic improvements over human brains, a digital brain can be many orders of magnitude larger and faster than a human brain, which was constrained in size by evolution to be small enough to fit through a birth canal. While there is no consensus on when artificial intelligence will outperform humans, many scholars argue that whenever it does happen, the introduction of a second species of intelligent life onto the planet will have far-reaching implications. Scholars often disagree with one another both about what types of post-AI scenarios are most likely, and about what types of post-AI scenarios would be most desirable. Finally, some dissenters argue that AI will never become as intelligent as humans, for example because the human race will already likely have destroyed itself before research has time to advance sufficiently to create artificial general intelligence.
Postulates: robot labor and post-scarcity economy
All of the following "AI aftermath scenarios" of the aftermath of arbitrarily-advanced AI development are crucially dependent on two intertwined theses. The first thesis is that, at some point in the future, some kind of economic growth will continue until a "post-scarcity" economy is reached that could, unless extremely hyperconcentrated, effortlessly provide an extremely comfortable standard of living for a population equaling or, within reason, exceeding the current human population, without even requiring the bulk of the population to participate in the workforce. This economic growth could come from the continuation of existing growth trends and the refinement of existing technologies, or through future breakthroughs in emerging technologies such as nanotechnology and automation through robotics and futuristic advanced artificial intelligence. The second thesis is that advances in artificial intelligence will render humans unnecessary for the functioning of the economy: human labor declines in relative economic value if robots are easier to cheaply mass-produce then humans, more customizable than humans, and if they become more intelligent and capable than humans.
Cosmic endowment and limits to growth
The Universe may |
https://en.wikipedia.org/wiki/The%20Stepdaughters | The Stepdaughters is a 2018 Philippine television drama series broadcast by GMA Network. Directed by Paul Sta. Ana, it stars Megan Young and Katrina Halili in the title role. It premiered on February 12, 2018 on the network's Afternoon Prime line up replacing Impostora. The series concluded on October 19, 2018 with a total of 178 episodes. It was replaced by Ika-5 Utos in its timeslot.
The series is streaming online on YouTube.
Premise
A story of two women, Mayumi and Isabelle who dislike each other. They will eventually become stepsisters when Mayumi's mother marries Isabelle's father.
Cast and characters
Lead cast
Megan Young as Mayumi Dela Rosa-Almeda
Katrina Halili as Isabelle "Belle" Salvador
Supporting cast
Mikael Daez as Francisco "Francis" Almeda
Glydel Mercado as Luisa "Loreng" Manor-Salvador
Gary Estrada as Hernando "Hernan" Salvador
Sef Cadayona as Bryce Morales
Samantha Lopez as Daphne Salimbagon
Edgar Allan Guzman as Froilan Almeda
Madeleine Nicolas as Baby Samonte
Recurring cast
Karenina Haniel as Sasha
Emmanuelle Vera as Nikki
Donita Nose Solano as Ariana
Lovely Abella as Mylene
Nathan Lopez as Benson
Valentin "Nani" Naguit as Caloy
Kristoffer King as Jigs
Zackie Rivera as Jenjen
Chromewell Cosio as Joel
Froilan Sales as Henry
Guest cast
Angelu de Leon as Brenda Salvador
Allan Paule as Mario Dela Rosa
Irma Adlawan as Susanna Almeda
Alicia Alonzo as Felicidad "Fely" Almeda
Rissian Rein Adriano as young Mayumi
Alessandra Alonzo as young Isabelle
Shakira A. Ceasar as young Sasha
Zymic Jaranilla as young Froilan
Adrian Pascual as young Francis
Joyce Ching as Grace Dela Rosa
Liezel Lopez as Marigold
Tess Bomb as Tess
Dea Formilleza as Lani
Gerald Madrid as David
Carlo Gonzales as Louie
Orlando Sol as Emman
Kevin Sagra as Kenji
Marife Necesito as Diana
Wilma Doesnt as Zoraya
Sophie Albert as Lily
Khaine Dela Cruz as Yuri Buenafe
Carla Humphries as Ailene Buenafe
Ratings
According to AGB Nielsen Philippines' Nationwide Urban Television Audience Measurement People in television homes, the pilot episode of The Stepdaughters earned a 6.5% rating. While the final episode scored a 6.3% rating. The series got its highest rating on May 9, 2018 with an 8.6% rating.
Accolades
References
External links
2018 Philippine television series debuts
2018 Philippine television series endings
Filipino-language television shows
GMA Network drama series
Television shows set in the Philippines |
https://en.wikipedia.org/wiki/Andrew%20Fitzgibbon%20%28engineer%29 | Andrew Fitzgibbon FREng (born 1968) is an Irish researcher in computer vision. Since 2022, he has worked at Graphcore.
Education
Fitzgibbon went to school at Coláiste Chríost Rí in Cork, and then studied Computer Science and Mathematics (Joint Honours) at University College, Cork, graduating in 1989.
He pursued a one-year Masters' in Knowledge-based Systems at Heriot-Watt University.
Rather than start a PhD, he began work as a research assistant at the Department of Artificial Intelligence, University of Edinburgh, writing computer programs for 3D shape modelling and 3D scanning.
In 1992 he registered for a part-time PhD, which was awarded in 1997.
Career and research
In 1996 he moved to the robotics research group at the Department of Engineering Science, University of Oxford, working with Andrew Zisserman, and in 1998 their work on Structure from motion, jointly with Phillip Torr, was awarded the International Conference on Computer Vision Marr Prize. This work led to the foundation of the company 2d3 in 1999, and the product "boujou", which won a Primetime Emmy Award for technical achievement.
In 1999, he was awarded a Royal Society University Research Fellowship, and continued to work with Zisserman.
Their work on applying machine learning to image-based rendering (with Yonatan Wexler) led to the award in 2003 of a second conference paper Marr Prize.
In 2005, he moved to Microsoft Research, and began work on human body tracking, and later contributed to the group development of the machine learning component of the human motion capture software in the Kinect system.
This group work was honoured with the MacRobert Award of the Royal Academy of Engineering for Microsoft Cambridge team in 2011.
Since 2022, he has worked at Graphcore.
Awards and honours
Marr Prize, Conference Paper Prize, 1998, 2003.
Technology & Engineering Emmy Award, 2001, for boujou.
British Computer Society Roger Needham Award, 2006.
Fellow of the British Computer Society, 2012.
Fellow of the International Association for Pattern Recognition, 2012.
Silver Medal, Royal Academy of Engineering, 2013.
Fellow of the Royal Academy of Engineering, 2014.
British Machine Vision Association (BMVA) Distinguished Fellow, 2017.
References
1968 births
Living people
Computer vision researchers
Fellows of the British Computer Society
People educated at Coláiste Chríost Rí
Alumni of the University of Edinburgh |
https://en.wikipedia.org/wiki/C-8%20%28Cercan%C3%ADas%20Madrid%29 | The C-8 is a line and rail service of Cercanías Madrid commuter rail network, operated by Renfe Operadora. It runs from Cercedilla northwest of Madrid to Guadalajara railway station. The C-8 shares tracks for the majority its length with Madrid commuter rail service line while it also shares significant parts with lines , and .
Infrastructure
Like the rest of Cercanías Madrid lines, the C-8 runs on the Iberian gauge mainline railway system, which is owned by Adif, an agency of the Spanish government. All of the railway lines carrying Cercanías Madrid services are electrified at 3,000 volts (V) direct current (DC) using overhead lines. The C-8 operates on a total line length of , which is entirely double-track. The trains on the line call at up to 32 stations, using the following railway lines, in order from west to east:
List of stations
The following table lists the name of each station served by line C-8 in order from west to east; the station's service pattern offered by C-8 trains; the transfers to other Cercanías Madrid lines; remarkable transfers to other transport systems; the municipality in which each station is located; and the fare zone each station belongs to according to the Madrid Metro fare zone system.
References
Cercanías Madrid |
https://en.wikipedia.org/wiki/C-9%20%28Cercan%C3%ADas%20Madrid%29 | Line C-9, formerly known as the Guadarrama Electric Railway (), is a narrow-gauge mountain railway incorporated into Madrid's Cercanías commuter rail network. The line is operated by Renfe Operadora and runs through the Guadarrama Mountains from Cercedilla, Madrid to , Segovia. Although classified as a commuter rail line, Line C-9 primarily serves the ski resorts at Cotos and Navacerrada Passes, connecting with the rest of the commuter rail system with the Line C-8 at Cercedilla Station. Line C-9 is the only metre-gauge railway among the Cercanías Madrid lines.
History
The railway was first conceived in the 1910s as a means of connecting urban Madrid to the Guadarrama Mountains via the Navacerrada Pass. Construction began in 1919 and the section connecting Cercedilla on the Madrid-Segovia Line with Navacerrada opened on 12 July 1923 as the Guadarrama Electric Railway. The opening was attended by the King and Queen of Spain. The line was originally electrified at 1000 V dc. Service was interrupted during the Spanish Civil War but resumed in 1940. In 1954, the line was acquired by the state-controlled RENFE, the only metre gauge line to be operated by them. RENFE began constructing the extension to Cotos Pass in 1959. The section to Cotos, including a long tunnel through Navacerrada, was completed in 1964.
From 1973 to 1975, the entire line was renovated and modernized and the line voltage increased to 1500 V dc. The line was anticipated to continue through the mountains to Segovia, but this plan was abandoned. In 1990, the Guadarrama Electric Railway was incorporated into RENFE's commuter rail network, Cercanías Madrid, and renamed Line C-9. The portion of the line between Navacerrada and Cotos was closed from 2011 to 2012 to undergo renovations.
Rolling stock
The original Swiss built railcars ordered in 1922 remained in service until 1964. Initially there were two motor cars and two trailers with an extra motor car and two trailers being added in 1936. They were replaced by second hand SECN stock, nicknamed Navals, from other metre gauge lines, principally from the Ferrocarill de la Loma. These were six motor cars, numbered 3006–3011, and two trailers, numbered 6011–6012. They were later classified by RENFE as Class 431. The brakes on these units proved insufficient for the steeply graded sections of the line with one unit running away approaching Cercedilla, being brought under control just in time. They were gradually replaced by MTM Class 442 units between 1976 and 1982.
In 1967 the line acquired a Stadler diesel shunter, fitted with a rotary snowplough, for engineering use on the line. Initially numbered 111 it was renumbered 300-111-2.
Preservation
The original Swiss railcar, CN1, is preserved at Cercedilla. A railcar and trailer, CN2 and CNR1, have been preserved at the railway museum in Madrid.
Route
Line C-9's route begins at on the Madrid-Segovia railway line, approximately northwest of Madrid. From this station at |
https://en.wikipedia.org/wiki/C-10%20%28Cercan%C3%ADas%20Madrid%29 | The C-10 is a line and rail service of Cercanías Madrid commuter rail network, operated by Renfe Operadora. It runs from Villalba northwest Madrid to Fuente de la Mora, through the city center of Madrid, while trains can continue onwards to Madrid Barajas Airport. The C-10 shares tracks for the majority of its length with Madrid commuter rail service lines , and while it also shares parts with , and . The line has been in operation since 2001.
Infrastructure
Like the rest of Cercanías Madrid lines, the C-10 runs on the Iberian gauge mainline railway system, which is owned by Adif, an agency of the Spanish government. All of the railway lines carrying Cercanías services are electrified at 3,000 volts (V) direct current (DC) using overhead lines. The C-10 operates on a total line length of , which is entirely double-track. The trains on the line call at up to 21 stations, using the following railway lines, in order from west to east:
List of stations
The following table lists the name of each station served by line C-10 in order from northwest to east; the station's service pattern offered by C-10 trains; the transfers to other Cercanías Madrid lines; remarkable transfers to other transport systems; the municipality in which each station is located; and the fare zone each station belongs to according to the Madrid Metro fare zone system.
References
Cercanías Madrid |
https://en.wikipedia.org/wiki/Soorma%20%28film%29 | Soorma (; ) is a 2018 Indian Hindi-language biographical sports drama film based on the life of hockey player Sandeep Singh. Directed by Shaad Ali and produced by Sony Pictures Networks India and C.S. Films, the film stars Diljit Dosanjh, Angad Bedi and Taapsee Pannu in lead roles. It was released theatrically on 13 July 2018.
Despite receiving mixed to positive reviews from critics, Soorma emerged as a commercial failure grossing worldwide on a budget of .
Plot
In 1994, at Shahbad Hockey Centre, a young Sandeep Singh and his older brother, Bikram Singh are seen undergoing a punishment by their coach Kartar Singh, who is a strict disciplinarian trainer. As a result of that, Sandeep decides to quit hockey. As a grown young man, he meets Harpreet Kaur, a budding female hockey player who practices the sport at the same centre. They both develop an interest in each other. With intent of catching up with Harpreet, Sandeep joins the Hockey Centre again. He starts to become good at his game. Meanwhile, Sandeep and Harpreet develop a romantic relationship. The coach, who is Harpreet's uncle, finds out about their relationship and physically assaults Sandeep. Bikram, who had been constantly working for selection to the Indian Hockey Team, fails to make it to India camp. Bikram finds out that his brother is exceptionally good at drag flick and helps him get to the Indian team, where he practices under the coach Harry. He goes on to become the highest scorer at Six Nation Series in Poland in 2006. After his success, the media terms him “Flicker Singh”. He also gets a job offer. However, Harpeet's uncle still heatedly agrees to accept him as a suitable husband for his niece.
In the same year, while leaving for Hockey World Cup, on a train, he is accidentally shot in his lower back and is paralyzed in the lower half of his body. The news of his never being able to play hockey again starts circulating in the media. Sandeep is now confined to a wheelchair and his family, especially Bikram, takes care of his nursing needs. In 2007, supported by Indian Hockey Federation, Sandeep is moved to the Netherlands, where, due to intensive therapy for a year, he recovers from his injury and starts playing again. He joins the 2008 India Hockey Camp in New Delhi. He is seen at the 2009 Commonwealth Championship in London, where Harpreet comes by to watch the game. Sandeep, who earlier used to get distracted by Harpreet's presence, manages to score the winning goal, indicating that he is now actually playing for India and not for seeking Harpreet's love. In the closing scene, archive footage of the actual player is seen where Sandeep Singh gets the 2010 Arjuna Award from the President of India.
Cast
Diljit Dosanjh as Sandeep "Sunny" Singh / Flicker Singh
Agam Singh as Young Sandeep Singh
Tapsee Pannu as Harpreet Kaur
Angad Bedi as Bikramjeet Singh
Amritpal Singh as Young Bikramjeet Singh
Amit Gaur as Ajit, Harpreet's Brother
Satish Kaushik as Gurcharan Singh ( |
https://en.wikipedia.org/wiki/Conversational%20user%20interface | A conversational user interface (CUI) is a user interface for computers that emulates a conversation with a real human. Historically, computers have relied on text-based user interfaces and graphical user interfaces (GUIs) (such as the user pressing a "back" button) to translate the user's desired action into commands the computer understands. While an effective mechanism of completing computing actions, there is a learning curve for the user associated with GUI. Instead, CUIs provide opportunity for the user to communicate with the computer in their natural language rather than in a syntax specific commands.
To do this, conversational interfaces use natural language processing (NLP) to allow computers to understand, analyze, and create meaning from human language. Unlike word processors, NLP considers the structure of human language (i.e., words make phrases; phrases make sentences which convey the idea or intent the user is trying to invoke). The ambiguous nature of human language makes it difficult for a machine to always correctly interpret the user's requests, which is why we have seen a shift toward natural-language understanding (NLU).
NLU allows for sentiment analysis and conversational searches which allows a line of questioning to continue, with the context carried throughout the conversation. NLU allows conversational interfaces to handle unstructured inputs that the human brain is able to understand such as spelling mistakes of follow-up questions. For example, through leveraging NLU, a user could first ask for the population of the United States. If the user then asks "Who is the president?", the search will carry forward the context of the United States and provide the appropriate response.
Conversational interfaces have emerged as a tool for businesses to efficiently provide consumers with relevant information, in a cost-effective manner. CUI provide ease of access to relevant, contextual information to the end user without the complexities and learning curve typically associated with technology.
While there are a variety of interface brands, to date, there are two main categories of conversational interfaces; voice assistants and chatbots.
Voice-based interfaces
A voice user interface allows a user to complete an action by speaking a command. Introduced in October 2011, Apple's Siri was one of the first voice assistants widely adopted. Siri allowed users of iPhone to get information and complete actions on their device simply by asking Siri. In the later years, Siri was integrated with Apple's HomePod devices.
Further development has continued since Siri's introduction to include home based devices such as Google Home or Amazon Echo (powered by Alexa) that allow users to "connect" their homes through a series of smart devices to further the options of tangible actions they can complete. Users can now turn off the lights, set reminders and call their friends all with a verbal queue.
These conversational interfaces that ut |
https://en.wikipedia.org/wiki/Al%20Jazeera%20Podcasts | Al Jazeera Podcasts is a podcast network run by Al Jazeera Media Network (AJMN). The network is available via its website as well as SoundCloud, Apple Podcasts, Stitcher, TuneIn, and iHeartRadio. The network is based out of San Francisco alongside AJ+ and is available in English, now will transform to Atheer.
Originally launched under the name Jetty, the service was launched on November 1, 2017 and works closely with AJ+ and Al Jazeera English. The network also incorporates visual elements and became one of the first partners of Facebook Watch. In 2019, Jetty was renamed Al Jazeera Podcasts، and now renamed to Atheer.
Podcasts
Jetty debuted with the podcast Closer Than They Appear, a hybrid interview/narrative show hosted by writer Carvell Wallace. Other podcasts that debuted in 2018 included The Game of Our Lives which uses soccer to explain global economics and cultures, a podcast on freedom dubbed (Freedom Stories, featuring Melissa Harris-Perry), sex (The Virgie Show) with Virgie Tovar, and global music (Movement) with Meklit Hadero.
The main podcasts of the service are The Take, a news podcast hosted by Malika Bilal and The Debrief. In 2020, Al Jazeera Podcasts launched Hindsight, a history podcast hosted by actor Charles Dance.
References
External links
Telegram channel
Al Jazeera
Internet properties established in 2017
2017 establishments in California
Mass media in the San Francisco Bay Area
Podcasting companies
Mass media companies established in 2017 |
https://en.wikipedia.org/wiki/SDxCentral | SDxCentral is a United States based technology journalism and market data research company based in Denver, Colorado. The company was founded in 2012 as SDNCentral focused on Software Defined Network, and changed its name to SDxCentral in 2015 to reflect its broadened focused on all emerging infrastructure technologies. The site currently receives over 200,000 unique visitors per month from over 170 different countries.
History
The company, under the name SDNCentral (named for software-defined networking, which was the original intent for the company) was founded by CEO Matthew Palmer and Roy Chua, the current Chief Product Officer, head of research and co-founder in 2012. the idea for SDNCentral came in 2012 after a Twitter feed focusing on technology news run by Palmer and Chua in 2011 grew popular, and the company changed its focus to market analytics and technology journalism, as a way to educate industry drivers on developments in the field. The company changed its name to SDxCentral in 2017, after changing its website in 2015.
Revenue
The company also participates in about 20-25 technology and software conventions per year, including the annual Consumer Technology Association consumer electronics show.
References
American technology news websites |
https://en.wikipedia.org/wiki/Vivian%20Chan | Dr. Vivian Chan (born 21 September 1984) is a British-Australian entrepreneur and businesswoman. She is the co-founder and CEO of Sparrho, a London-based startup blending machine learning and expert human curation to democratise science.
Early life
Born in Hong Kong, Chan's family moved to Australia when she was six-years-old. She grew up going back and forth between Hong Kong and Australia, eventually settling in Australia's Gold Coast. Her parents worked in education and her grandparents in publishing.
Education
Chan attended Trinity Lutheran College and went on to study biotechnology at the University of Queensland (UQ), achieving a BBiotech (First-Class Honours) in Drug Design and Development. After spending a year working at UQ as an Investment Process Manager in life sciences for the venture fund Uniseed, she received a Cambridge Commonwealth scholarship to study for a PhD in protein crystallography at the University of Cambridge. Whilst at Cambridge, she was voted into the role of president of the Cambridge University Technology & Enterprise Club (CUTEC) from 2010-2011. Chan was still in this role when she was approached by Alice Bentinck and Matthew Clifford of Entrepreneur First, who were seeking to recruit 30 graduates with entrepreneurship ambition. Chan had recently completed her PhD and was a member of the EF student advisory board, so decided to apply "at the last minute" and was selected to take part in EF's first cohort in 2012-13. Here, she met Nilu Satharasinghe, an experienced startup founder with a background in machine learning and a MSc in computer science from the University of Oxford.
Sparrho
Chan and Satharasinghe founded Sparrho in 2013 as a solution to issues in staying up to date with scientific literature encountered over the course of Chan's biochemistry PhD. Inspiration for Sparrho came from Steve, a postdoctoral researcher in Chan's research lab who would read several key journals and bring paper recommendations to Chan's research group every morning. When Chan described this problem to Satharasinghe, he suggested 'digitising Steve'. This idea grew into the creation of Sparrho, a science research discovery platform combining artificial and human intelligence to help research professionals and layman users stay up-to-date with new scientific publications and patents. Sparrho combines the work of industry experts and artificial intelligence in a three-phase process. Sparrho´s machine learning platform searches amongst over 60 million scientific works, the equivalent of over 80% of all current scientific literature. As of Q2 2017, Sparrho has raised a total of $3 million of funding.
Honours and awards
In November 2018, Chan was named to the Financial Times' list of the 'Top 100 minority ethnic leaders in technology.'
In 2017, Chan was selected by MIT Technology Review as one of its 35 Innovators Under 35. Executive director of HAG Consulting & Ventures and Startup Grind and jury member for Innovators Under 35 |
https://en.wikipedia.org/wiki/Common%20Voice | Common Voice is a crowdsourcing project started by Mozilla to create a free database for speech recognition software. The project is supported by volunteers who record sample sentences with a microphone and review recordings of other users. The transcribed sentences will be collected in a voice database available under the public domain license CC0. This license ensures that developers can use the database for voice-to-text applications without restrictions or costs.
Aims
Common Voice aims to provide diverse voice samples. According to Mozilla's Katharina Borchert, many existing projects took datasets from public radio or otherwise had datasets that underrepresented both women and people with pronounced accents.
History
At the beginning of 2022, the Bengali.AI partnered with Common Voice to launch "Bangla Speech Recognition" project that aims to make machines understand Bangla language. 2000 hours of voice was collected with aim for higher than 10,000 hours.
Voice database
The first dataset was released in November 2017. More than 20,000 users worldwide had recorded 500 hours of English sentences.
In February 2019, the first batch of languages was released for use. This included 18 languages: English, French, German and Mandarin Chinese, but also less prevalent languages as Welsh and Kabyle. In total, this included almost 1,400 hours of recorded voice data from more than 42,000 contributors.
As of July 2020 the database has amassed 7,226 hours of voice recordings in 54 languages, 5,591 hours of which has been verified by volunteers.
In May 2021, following the work to add Kinyarwanda, they received a grant to add Kiswahili.
In September 2022, it was announced that the Twi language of Ghana was the 100th language to be added to the Mozilla Common Voice database.
As of October 2022, Mozilla Common Voice officially collects voice data for the following languages:
Abkhaz
Arabic
Armenian
Assamese
Asturian
Bashkir
Basaa
Basque
Belarusian
Bengali
Breton
Bulgarian
Catalan
Chinese (Cantonese and Mandarin varieties)
Chuvash
Czech
Danish
Dhivehi
Dutch
English
Esperanto
Erzya
Finnish
French
Frisian
Galician
Georgian
German
Greek
Guaraní
Hausa
Hakha Chin
Hindi
Hungarian
Indonesian
Interlingua
Irish
Italian
Japanese
Kabyle
Kazakh
Kinyarwanda
Korean
Kurdish (Central and Kurmanji varieties)
Kyrgyz
Latvian
Luganda
Macedonian
Malayalam
Maltese
Marathi
Mari (Meadow and Hill varieties)
Moksha
Mongolian
Nepali
Norwegian (Nynorsk)
Odia
Persian
Polish
Portuguese
Punjabi
Romanian
Romansh (Sursilvan and Vallader varieties)
Russian
Sakha
Santali
Saraiki
Sardinian
Serbian
Slovenian
Spanish
Swahili
Swedish
Taiwanese Hokkien
Tamil
Tatar
Thai
Tigre
Tigrinya
Toki Pona
Twi
Turkish
Upper Sorbian
Ukrainian
Urdu
Uyghur
Uzbek
Vietnamese
Votic
Welsh
See also
Forvo
Lingua Libre
Crowdsource (app)
References
Speech recognition software
Datasets in machine learning |
https://en.wikipedia.org/wiki/Ida%20Holz | Ida Holz Bard (born 30 January 1935) is a Uruguayan engineer, computer scientist, professor, and researcher, known as a pioneer in the field of computing and the Internet.
Biography
Coming from a Jewish family of Polish origin, from age 18 to 22 Ida Holz went to Israel, where she was in the army and on a kibbutz.
When she returned to Uruguay, she wanted to study architecture, which she could not do because she worked during the day, and started teaching mathematics at the . There, her professor of mathematical logic invited her to attend a course offered by the University of the Republic in the computation field.
At the beginning of the 1970s, Holz was part of the first generation of Uruguayan computer science students, trained by the of the University of the Republic.
In 1964 she married the artist Anhelo Hernández, dedicated to contemporary painting, and who joined the Torres García Workshop. In 1976 they went into exile in Mexico. During this period, Holz worked in the General Directorate of Economic and Social Policy. Later she worked at that country's National Institute of Statistics. The Mexican government came to offer her the directorship, but she had already decided to return to Uruguay.
In 1986 she competed for the directorship of the Central Information Service of the University of the Republic (SECIU) and was successful. From this position, Ida Holz led the development of the Internet in Uruguay beginning in the early 1990s. Since then, she has played a prominent role in the development and evolution of information and communications technology in Uruguay. Since 2005 she has worked in the directorate of the (AGESIC). She was also one of the promoters of the Ceibal project.
Holz is recognized for having opposed a conference in Rio de Janeiro in 1991, at which the United States and Europe imposed their authorities at the Latin American level on the nascent global network.
Under her direction, in 1994 SECIU installed the first Internet node in Uruguay.
Awards and honors
Ida Holz received the 2009 Lifetime Achievement Award, granted by the Latin America and Caribbean Network Information Centre (LACNIC) to people who have contributed to the permanent development of the Internet.
In 2013 she was the first Latin American personality (male or female) to enter the Internet Society's Hall of Fame, an initiative that honors people who have been important to the development and strengthening of the Internet.
The awarded her its 2014 Girdle of Honor at public school No. 4 José Artigas, where the engineer completed her primary studies.
The National Postal Administration issued stamps in 2015 of the series "Outstanding Personalities of Uruguay" dedicated to Ida Holz.
In 2017, Holz received a recognition in honor of her career as an Internet pioneer in Uruguay, in the framework of the Ceibal project's tenth anniversary celebration.
One of the so-called "fathers of the Internet", Vint Cerf, when asked if there was a "mother of the Inte |
https://en.wikipedia.org/wiki/Gaia%201 | Gaia 1 is an open cluster of stars discovered in 2017 by astronomers using data from the Gaia Space Observatory. It is a high-mass and bright cluster, but remained unseen in prior astronomy due to veiling glare in ordinary telescopes overwhelmed by the star Sirius, which lies 10 arcmins west. Its half-light radius is about , assuming a distance of , and it has an estimated mass of about .
The Gaia 1 cluster was detected by researchers applying automated "star gauging" to the Gaia observatory's data on star locations. This analysis surprisingly indicated a prominent concentration of stars, previously unknown and uncataloged, adjacent to Sirius. Gaia observed a cluster population of approximately 1,200 stars down to Gaia magnitude 19. Analysis of 2MASS data for those stars shows a red giant branch and a pronounced red clump that allows the absolute magnitude of the stars to be deduced and the distance calculated. Fitting the red giant branch also allows the age of the cluster to be calculated at 6.3 billion years.
References
External links
How do you find a star cluster? Easy, simply count the stars. European Space Agency 15 November 2017
Open clusters
Canis Major |
https://en.wikipedia.org/wiki/Word%20RAM | In theoretical computer science, the word RAM (word random-access machine) model is a model of computation in which a random-access machine does arithmetic and bitwise operations on a word of bits. Michael Fredman and Dan Willard created it in 1990 to simulate programming languages like C.
Model
The word RAM model is an abstract machine similar to a random-access machine, but with finite memory and word-length. It works with words of size up to bits, meaning it can store integers up to . Because the model assumes that the word size matches the problem size, that is, for a problem of size , , the word RAM model is a transdichotomous model. The model allows both arithmetic operations and bitwise operations including logical shifts to be done in constant time (the precise instruction set assumed by an algorithm or proof using the model may vary).
Algorithms and data structures
In the word RAM model, integer sorting can be done fairly efficiently. Yijie Han and Mikkel Thorup created a randomized algorithm to sort integers in expected time of (in Big O notation) , while Han also created a deterministic variant with running time .
The dynamic predecessor problem is also commonly analyzed in the word RAM model, and was the original motivation for the model. Dan Willard used y-fast tries to solve this in time, or, more precisely, where is a bound on the values stored. Michael Fredman and Willard also solved the problem using fusion trees in time. Using exponential search trees, a query can be performed in .
Additional results in the word RAM model are listed in the article on range searching.
Lower bounds applicable to word RAM algorithms are often proved in the cell-probe model.
See also
Transdichotomous model
References
Models of computation |
https://en.wikipedia.org/wiki/List%20of%20Hi-5%20home%20video%20releases | Hi-5 is an Australian children's television series, originally produced by Kids Like Us and later Southern Star for the Nine Network and created by Helena Harris and Posie Graeme-Evans. The program is known for its educational content, and for the cast of the program, who became a recognised musical group for children outside of the series, known collectively as Hi-5. It has generated discussion about what is considered appropriate television for children. The series premiered in April 1999 on the Nine Network and aired until 2011, before returning to Nine in 2017 with a revived series.
In Australia, Roadshow Entertainment have released selected songs and segments from the television series, compiled on VHS and later DVD, for home video consumption. Each compilation release usually featured three feature Songs of the Week and a range of segments from the corresponding television series, selected to reflect the specific theme of the video. In 2012 and 2013, selected full episodes were released on DVD. Roadshow also distributed three DVDs featuring Hi-5 performing live stage shows, entitled Hi-5 Live! The Playtime Concert (2009), Hi-5 Surprise! Live (2010) and Hi-5 Holiday! Live (2012). These releases did not feature any footage from the television series.
The home video releases were typically well received by the target audience. In its first three months, Move Your Body had sold 80,000 copies on VHS. Summer Rainbows was the highest selling VHS title for Australian children in 1999 and Star Dreaming was the most sold in 2000. The Summer Rainbows / Move Your Body double release was the highest selling DVD in 2003, and Surfing Safari was the highest selling VHS of the same year. Playing Cool (2001) was certified as double platinum by the time of its 2004 DVD release.
Compilation releases
Full episode releases
Special releases
Notes
References
Hi-5 |
https://en.wikipedia.org/wiki/Isobryales | Isobryales are an order of mosses. Its taxonomic status is not clear. The Integrated Taxonomic Information System and National Center for Biotechnology Information databases consider it as a synonym of Bryidae and Hypnales, respectively. The Global Biodiversity Information Facility considers it valid in its own right.
Genera
As accepted by GBIF;
Cyrtopodaceae (8)
Fontinalaceae (94)
Glyphomitriaceae (1)
Hydropogonaceae (4)
Lepyrodontaceae(13)
Prionodontaceae (21)
Ptychomniaceae (44)
Regmatodontaceae (29)
Rhacocarpaceae (1)
Rutenbergiaceae (11)
Trachypodaceae (80)
Wardiaceae (2)
Figures in brackets are approx. how many species per genus.
Description
The order includes plants that generally grow from a creeping primary stem with reduced leaves, and plants that have spreading to ascending secondary stems which may be pinnately branched. Paraphyllia (tiny branched or stipuliform organs between the leaves) and pseudoparaphyllia are sometimes present on the stems. The leaves may have single or double and sometimes short costae (ribs). The cells may be short or elongate and smooth or papillose, with those at basal angles sometimes differentiated. The sporophytes are lateral, usually with elongate setae and capsules. The double peristome, sometimes reduced, consists of 16 teeth which are papillose on the outer surface, or less often cross-striate at the base, and an endostome with narrow segments and a low basal membrane or none at all. The calyptrae (the protective cap or hood covering the spore case) are cucullate (hooded) and naked, or mitrate and hairy.
References
Moss orders
Bryidae |
https://en.wikipedia.org/wiki/Contessa%20%28TV%20series%29 | Contessa () is a 2018 Philippine television drama revenge series broadcast by GMA Network. Directed by Albert Langitan, it stars Glaiza de Castro in the title role. It premiered on March 19, 2018, on the network's Afternoon Prime and Sabado Star Power sa Hapon line up replacing Ika-6 na Utos. The series concluded on September 8, 2018, with a total of 147 episodes. It was replaced by Ika-5 Utos in its timeslot.
The series is streaming online on YouTube.
Premise
Bea gets accused and imprisoned for a crime she did not commit, is determined to seek revenge on the people who took everything and everyone she loved away from her. She claims a new identity as Contessa and will seek for redemption and justice.
Cast and characters
Lead cast
Glaiza de Castro as Beatrice "Bea" Resureccion-Caballero / Contessa Venganza
Supporting cast
Geoff Eigenmann as Gabriel R. Caballero
Jak Roberto as Santiago "Jong" Generoso Jr.
Gabby Eigenmann as Victorino "Vito" C. Imperial Jr. / Duquessa Dolce Vita
Lauren Young as Daniella "Dani" C. Imperial
Chanda Romero as Charito Castillo vda. de Imperial / Black Scorpion
Tetchie Agbayani as Guadalupe "Guada" Sarmiento vda. de Venganza / Dragona / Queen V.
Leandro Baldemor as Santiago "Tiago" Generoso Sr.
Dominic Roco as Oliver Sta. Ana
Bernadette Allyson as Sarah Imperial
Melissa Mendez as Helen Ramirez vda. de Caballero
Mon Confiado as Armando "Arman" Wilwayco
Tanya Gomez as Linda Resurreccion
Karel Marquez as Virginia "Gigi" Palaroan
Phytos Ramirez as Winston Mallari
Denise Barbacena as Miadora Jimenez
Will Ashley De Leon as Elijah "Ely" Resureccion Venganza
Guest cast
Mark Herras as Marco R. Caballero
Toby Alejar as Atty. Cordero
Shermaine Santiago as a fortune teller
J-mee Katanyag as Mayora Angela
Antonette Garcia as Chunna
Angeli Bayani as Yolly
Andrea Torres as Contessa Venganza
Al Tantay as Pablo Venganza
Jay Arcilla as Jonas Zamora
Patricia Tumulak as Marga Antonio
Mike Magat as Lamberto "Berto" Zamora
Divine Tetay as Misha Wilton
Shaira Diaz as Ces Hidalgo
Tyler Gatdula as Harold Villarama
Philip Lazaro as Marusca
Janice Hung as Mystie
Nicole Donesa as Monique
Stephanie Sol as Lara
Roi Vinzon as Felipe
Paolo Gumabao as Jigo
Neil Ryan Sese as Detective Eric
Ervic Vijandre as Enzo
Max Collins as Perfida Ledesma
Joshua Zamora as Jimmy / Paul
Elizabeth Oropesa as Rowena
Production
Principal photography commenced in November 2017. Filming concluded on September 4, 2018.
Accolades
Ratings
According to AGB Nielsen Philippines' Nationwide Urban Television Audience Measurement People in television homes, the pilot episode of Contessa earned a 5.2% rating.
References
External links
2018 Philippine television series debuts
2018 Philippine television series endings
Filipino-language television shows
GMA Network drama series
Television series about revenge
Television shows set in the Philippines |
https://en.wikipedia.org/wiki/AlphaZero | AlphaZero is a computer program developed by artificial intelligence research company DeepMind to master the games of chess, shogi and go. This algorithm uses an approach similar to AlphaGo Zero.
On December 5, 2017, the DeepMind team released a preprint paper introducing AlphaZero, which within 24 hours of training achieved a superhuman level of play in these three games by defeating world-champion programs Stockfish, Elmo, and the three-day version of AlphaGo Zero. In each case it made use of custom tensor processing units (TPUs) that the Google programs were optimized to use. AlphaZero was trained solely via self-play using 5,000 first-generation TPUs to generate the games and 64 second-generation TPUs to train the neural networks, all in parallel, with no access to opening books or endgame tables. After four hours of training, DeepMind estimated AlphaZero was playing chess at a higher Elo rating than Stockfish 8; after nine hours of training, the algorithm defeated Stockfish 8 in a time-controlled 100-game tournament (28 wins, 0 losses, and 72 draws). The trained algorithm played on a single machine with four TPUs.
DeepMind's paper on AlphaZero was published in the journal Science on 7 December 2018; however, the AlphaZero program itself has not been made available to the public. In 2019, DeepMind published a new paper detailing MuZero, a new algorithm able to generalise AlphaZero's work, playing both Atari and board games without knowledge of the rules or representations of the game.
Relation to AlphaGo Zero
AlphaZero (AZ) is a more generalized variant of the AlphaGo Zero (AGZ) algorithm, and is able to play shogi and chess as well as Go. Differences between AZ and AGZ include:
AZ has hard-coded rules for setting search hyperparameters.
The neural network is now updated continually.
AZ doesn't use symmetries, unlike AGZ.
Chess can end in a draw unlike Go; therefore, AlphaZero takes into account the possibility of a drawn game.
Stockfish and Elmo
Comparing Monte Carlo tree search searches, AlphaZero searches just 80,000 positions per second in chess and 40,000 in shogi, compared to 70 million for Stockfish and 35 million for Elmo. AlphaZero compensates for the lower number of evaluations by using its deep neural network to focus much more selectively on the most promising variation.
Training
AlphaZero was trained solely via self-play, using 5,000 first-generation TPUs to generate the games and 64 second-generation TPUs to train the neural networks. In parallel, the in-training AlphaZero was periodically matched against its benchmark (Stockfish, Elmo, or AlphaGo Zero) in brief one-second-per-move games to determine how well the training was progressing. DeepMind judged that AlphaZero's performance exceeded the benchmark after around four hours of training for Stockfish, two hours for Elmo, and eight hours for AlphaGo Zero.
Preliminary results
Outcome
Chess
In AlphaZero's chess match against Stockfish 8 (2016 TCEC world champi |
https://en.wikipedia.org/wiki/Avondale%20railway%20station | Avondale railway station may refer to:
Avondale railway station, Auckland, on the Western Line of the Auckland railway network in New Zealand
Avondale railway station, Queensland, a closed railway station on the North Coast railway
Avondale station (MARTA), a train station in Decatur, Georgia, United States |
https://en.wikipedia.org/wiki/CEE%20Bankwatch%20Network | CEE Bankwatch Network is a global network which operates in central and eastern Europe. There are 17 member groups, multiple non-governmental organizations based in different locations; the network is one of the largest networks of environmental NGOs in central and eastern Europe. Bankwatch's headquarters rest in Prague, Czech Republic.
Bankwatch was set up in 1995, and it focuses on monitoring the actions of different international financial institutions, such as the European Investment Bank (EIB) and European Bank for Reconstruction and Development (EBRD), while publicizing and exposing potential risks of the projects to the public in order to address environmental, social, and economical causes. The network aims to influence the decisions of the EIB and the EBRD and campaign for the protection of human rights and the environment.
Main Areas of Work
Coal mining and power plants
Unsustainable hydro power plants
Extractive industries
Projects followed by CEE Bankwatch Network
Fossil Fuel Projects
Rovinari Power Station, Romania
Gacko II, Bosnia and Herzegovina
Southern Gas Corridor
Ugljevik Power Plant, Bosnia and Herzegovina
Pljevlja lignite power plant, Montenegro
Tuzla lignite power plant, Bosnia and Herzegovina
Sostanj lignite thermal power plant, Slovenia
Stanari lignite power plant, Bosnia and Herzegovina
Kolubara B lignite-fired power plant, Serbia and Kolubara lignite mine, Serbia
Kostolac B3 lignite power plant, Serbia
Kosova e Re lignite power plant, Kosovo
Plomin coal power plant, Croatia
Sakhalin-II oil and gas project, Russia
Unsustainable Renewable Projects
Boskov most hydropower plant, North Macedonia
Krapska Reka hydropower plant, Macedonia
Dabrova Dolina hydropower plant, Croatia
Buk Bijela dam and the Upper Drina cascade, Bosnia and Herzegovina
Shuakhevi hydropower plant, Georgia
Nenskra hydropower plant, Georgia
Olkaria geothermal development, Kenya
Transport Projects
Kresna gorge / Struma motorway, Bulgaria
Khudoni hydropower plant, Georgia
Volkswagen's emissions scandal and the EU's bank
Mombasa-Mariakani road project, Kenya
Corridor Vc motorway, Bosnia and Herzegovina
Municipal Infrastructure
Belgrade incinerator, Serbia
Agrobussiness
Myronivsky Hliboproduct (MHP), Ukraine
Extractive Industries
Kumtor Gold Mine, Kyrgyzstan
Member Group Organizations
Bulgaria, Centre for Environmental Information and Education
Bulgaria, Za Zemiata
Croatia, Zelena Akcia
Czech Republic, Hnutí Duha
Czech Republic, Centre For Transport And Energy
Estonia, Estonian Green Movement
Georgia, Green Alternative
Hungary, National Society of Conservationists - Friends of the Earth Hungary
Latvia, Green Liberty
Lithuania, Atgaja
Macedonia, Eko-svest
Poland, Polish Green Network (Polska Zielona Siec)
Russia, Sakhalin Environmental Watch
Serbia, Center for Ecology and Sustainable Development
Slovakia, Friends of the Earth - CEPA
Ukraine, Ecoaction (Екодія)
Ukraine, National Ecological Centre |
https://en.wikipedia.org/wiki/Control-K | Control-K is a computer command. It is generated by pressing the key while holding down the key on most computer keyboards.
In hypertext environments that use the control key to control the active program, control-K is often used to add, edit, or modify a hyperlink to a Web page. For example, this key combination is used in Windows versions of Microsoft Word and in many browser-based content management systems.
See also
C0 and C1 control codes
Control-C
Control-D
Control-V
Control-X
Control-Z
Control-\
Keyboard shortcut
References
Computer keys |
https://en.wikipedia.org/wiki/List%20of%20Canadian%20Hot%20100%20number-one%20singles%20of%202018 | This is a list of the Canadian Hot 100 number-one singles of 2018. The Canadian Hot 100 is a chart that ranks the best-performing singles of Canada. Its data, published by Billboard magazine and compiled by Nielsen SoundScan, is based collectively on each single's weekly physical and digital sales, as well as airplay and streaming.
Chart history
See also
List of number-one albums of 2018 (Canada)
Notes
References
Canada Hot 100
2018
2018 in Canadian music |
https://en.wikipedia.org/wiki/Stamos%20%28surname%29 | Stamos is a surname of Greek origin. Notable people with the surname include:
Alex Stamos (born 1979), American computer scientist
David N. Stamos (born 1957), Canadian philosopher and professor
John Stamos (born 1963), American actor, producer, musician, and singer
John J. Stamos (1924–2017), Greek-American Justice of the Supreme Court of Illinois
Theodoros Stamos (1922–1997), Greek-American painter
Greek-language surnames
Surnames |
https://en.wikipedia.org/wiki/Irish%20Environmental%20Network | The Irish Environmental Network (IEN) is a network of environmental Non-Government Organisations (NGOs) that was established in 2002. The network is designed to give greater reach and access to funding for disparate and sometimes small member organisations. The IEN also has the Environmental Pillar which acts as a lobbying group with many of the same NGOs in order to present their concerns to government and policy matters at all levels, national, regional and local. The IEN has also coordinated a photography awards scheme, and manages the Green News website which covers a range of environmental news stories in Ireland and abroad.
Members
Members of the Irish Environmental Network include:
An Taisce, The National Trust for Ireland
Bat Conservation Ireland
BirdWatch Ireland
CELT
Cloughjordan Ecovillage
Coomhola Salmon Trust
Coastwatch
ECO-UNESCO
Feasta
Forest Friends
Friends of the Earth
Friends of the Irish Environment
Global Action Plan
Gluaiseacht
Good Energies Alliance Ireland
Green Foundation Ireland
Hedge Laying Association of Ireland
Green Economy Foundation
Irish Peatland Conservation Council
Irish Wildlife Trust
Irish Seed Savers Association
Irish Whale and Dolphin Group
Just Forests
Native Woodland Trust
Sonairte
Sustainable Ireland Cooperative (Cultivate)
The Organic Centre
The Vincent Wildlife Trust
VOICE
Zero Waste Alliance Ireland
References
External links
Environmental organisations based in Ireland
Conservation in the Republic of Ireland
2002 establishments in Ireland
Organizations established in 2002 |
https://en.wikipedia.org/wiki/Elmo%20%28shogi%20engine%29 | Elmo {stylized as elmo, a blend of elastic and monkey), is a computer shogi evaluation function and book file (joseki) created by Makoto Takizawa (). It is designed to be used with a third-party shogi alpha–beta search engine.
Combined with the yaneura ou () search, Elmo became the champion of the 27th annual World Computer Shogi Championship () in May 2017. However, in the Den Ō tournament () in November 2017, Elmo was not able to make it to the top five engines losing to (1st), shotgun (2nd), ponanza (3rd), (4th), and Qhapaq_conflated (5th).
In October 2017, DeepMind claimed that its program AlphaZero, after two hours of massively parallel training (700,000 steps or 10,300,000 games), began to exceed Elmo's performance. With a full nine hours of training (24 million games), AlphaZero defeated Elmo in a 100-game match, winning 90, losing 8, and drawing two.
Elmo is free software that may be run on shogi engine interface GUIs such as Shogidokoro and ShogiGUI.
Shogi theory
A new castle has appeared in computer games featuring elmo, which has been named elmo castle (エルモ囲い erumogakoi). Subsequently, the castle has been used by professional shogi players and recently featured in a book on a new Anti-Ranging Rook Rapid Attack strategy.
References
External links
elmo Github page
YaneuraOu Github page
コンピュータ将棋ソフト「elmo」導入方法 · the elmo developer's how-to page
将棋フリーソフト レーティング: How to install Yaneuraou with third party evaluation files/opening books and Gikou2
Shogi software |
https://en.wikipedia.org/wiki/Capsule%20neural%20network | A capsule neural network (CapsNet) is a machine learning system that is a type of artificial neural network (ANN) that can be used to better model hierarchical relationships. The approach is an attempt to more closely mimic biological neural organization.
The idea is to add structures called "capsules" to a convolutional neural network (CNN), and to reuse output from several of those capsules to form more stable (with respect to various perturbations) representations for higher capsules. The output is a vector consisting of the probability of an observation, and a pose for that observation. This vector is similar to what is done for example when doing classification with localization in CNNs.
Among other benefits, capsnets address the "Picasso problem" in image recognition: images that have all the right parts but that are not in the correct spatial relationship (e.g., in a "face", the positions of the mouth and one eye are switched). For image recognition, capsnets exploit the fact that while viewpoint changes have nonlinear effects at the pixel level, they have linear effects at the part/object level. This can be compared to inverting the rendering of an object of multiple parts.
History
In 2000, Geoffrey Hinton et al. described an imaging system that combined segmentation and recognition into a single inference process using parse trees. So-called credibility networks described the joint distribution over the latent variables and over the possible parse trees. That system proved useful on the MNIST handwritten digit database.
A dynamic routing mechanism for capsule networks was introduced by Hinton and his team in 2017. The approach was claimed to reduce error rates on MNIST and to reduce training set sizes. Results were claimed to be considerably better than a CNN on highly overlapped digits.
In Hinton's original idea one minicolumn would represent and detect one multidimensional entity.
Transformations
An invariant is an object property that does not change as a result of some transformation. For example, the area of a circle does not change if the circle is shifted to the left.
Informally, an equivariant is a property that changes predictably under transformation. For example, the center of a circle moves by the same amount as the circle when shifted.
A nonequivariant is a property whose value does not change predictably under a transformation. For example, transforming a circle into an ellipse means that its perimeter can no longer be computed as π times the diameter.
In computer vision, the class of an object is expected to be an invariant over many transformations. I.e., a cat is still a cat if it is shifted, turned upside down or shrunken in size. However, many other properties are instead equivariant. The volume of a cat changes when it is scaled.
Equivariant properties such as a spatial relationship are captured in a pose, data that describes an object's translation, rotation, scale and reflection. Translation is a change |
https://en.wikipedia.org/wiki/J%20A%20Chowdary | J A Chowdary is the founding director of Software Technology Parks of India at Bangalore, Hyderabad and Chennai. He is the current chairman of the Indian BlockChain Standards Committee, the General Partner-Succeed Innovation Fund and a former IT advisor and special chief secretary to the Chief Minister, Government of Andhra Pradesh.
J A Chowdary is leading the Fintech Forum in Hyderabad
Early life
Chowdary was born on 18 February 1955 in Bathalapalle, a village in the Anantapur district of Andhra Pradesh.
He started his career at the Indian Space Research Organisation as a scientist, where he was involved in designing telemetry subsystems for Bhaskara, Rohini and Aryabhata satellites.
He worked at Bharat Heavy Electricals Limited (BHEL), where he contributed towards developing mechanisms that would facilitate online monitoring of pollution levels, and process control instruments for BHEL power stations.
Chowdary has an M.Tech in solid state electronics from Indian Institute of Technology Madras and an M.Sc from SK University.
Roles in IT and business
In the 1990s. Chowdary was credited as "one of the key architects" of the HITEC City and Cyberabad in Hyderabad and in founding International Institute of Information Technology, Hyderabad at Hyderabad and IIDT at Tirupati.
Chowdary is a co-founder of PortalPlayer which was acquired by Nvidia in 2007. He led the development of the chip that went into the first generation of iPod. He is also a co-founder and board member at Hyderabad Angels.
Chowdary has been in the roles of chairman of the Industry Development Forum for Andhra Pradesh, co-chairman of the Federation of Indian Chambers of Commerce & Industry (Telangana and Andhra Pradesh), president of the Anantapur Development Initiative Foundation and president of the Food 360 Foundation.
Awards and honours
Chowdary has won the "Meritorious Invention Award" from NRDC, Government of India,
HMA Award of excellence "for promoting the Indian IT Industry",
HYSEA Award of excellence "for promoting the IT industry in Andhra Pradesh" and in 2020 HYSEA awarded him "Life Time Achievement Award" too
Award of excellence from the Telugu Association of the state of Texas in the United States.
See also
Fintech Valley Vizag
References
External links
Official website
1955 births
Living people
IIT Madras alumni
Businesspeople in software
20th-century Indian businesspeople |
https://en.wikipedia.org/wiki/List%20of%20Gridman%20the%20Hyper%20Agent%20characters | The characters in this list are from the 1993–1994 tokusatsu series Denkou Choujin Gridman.
Main characters
Naoto Sho
, a kind-hearted boy who loves computers, is the main protagonist of the series. After the attacks by Kahn Digifer begin to occur, he is contacted by Gridman and merges with him to fight against Kahn and Takeshi's monsters. Using the wrist-worn , Naoto slams his fist on a special button of the Acceptor (accompanied by using the call "!") so that he transforms into a special suit that allows him to enter the Computer World and merge with Gridman.
Naoto Sho is portrayed by .
Yuka Inoue
is a young girl who excels in studies and programs. She helps maintain Junk and provides the team spirit and constantly encourages her friends to do their best. Despite being the target of Takeshi's one-sided crush, Yuka developed feelings for Naoto.
Yuka Inoue is portrayed by .
Ippei Baba
is Naoto's other friend. Cheerful, he also helps monitor the computer when Naoto/Gridman fights. When Junk was first brought online, he used the painting program to design a superhero that would eventually become Gridman's body. With his skills as an artist, he would develop various Assist Weapons for Gridman's use.
Ippei Baba is portrayed by .
Junk
is a homebuilt computer built from used computers and other junk. Whenever Gridman fights in a gigantic form, this would risk Junk from overloading.
Junk is voiced by .
Takeshi Todo
is classmate of Naoto and his friends who spent most of his free time in an eerie room with his personal computer. As his parents were away, this formed his behavior towards one that is introvert and self-centered, causing Kahn Digifier to take interest in him. In every episodes, Takeshi would create monsters based on daily frustrations, mostly for getting revenge on misfortune, petty grudges, or punishing humanity. Takeshi also develops an unhealthy crush on Yuka, having some of his creations targeted her specifically. After Naoto saved him from Kahn, Takeshi developed Grid Hyper Beam, which was used to decimate both Kahn and his home's computer.
22 years later in the event anime Denkou Choujin Gridman: boys invent great heroes, Takeshi bonds with Gridman Sigma, transforming with the Acceptor to fight against real life monsters.
Takeshi Todo is portrayed by and is voiced by in the event anime.
Heroes
Gridman
is a of the alternate dimension . While tracking down Kahn Digifer he encounters Naoto and, seeing as Naoto had a good heart, chooses him to merge with whenever battle must be done within the . To fight against larger monsters and resolve situations that are massive in size, Gridman receives the upgrade program P-L6806OX (the downside of this program is that it lasts for 10 minutes as it could overload Junk's system - when the power up begins to fade, a blue light on Gridman's head begins to blink as a warning) for the purpose of enlargement. Naoto, Yuuka, and Ippei usually socialize with Gridman over their computer |
https://en.wikipedia.org/wiki/Anglican%20Mission%20in%20England | The Anglican Mission in England (AMiE) is an Anglican convocation affiliated to the Anglican Network in Europe that seeks to establish Anglican churches in England outside the Church of England. It was created with the support of the Global Anglican Future Conference, and is part of the Anglican realignment.
Leadership
AMiE has three bishops, Andy Lines, Tim Davies and Lee McMunn. Andy Lines is the Convocation Bishop: he was consecrated on 30 June 2017 as the Missionary Bishop to Europe of the Anglican Church in North America (ACNA), a province outside the Anglican Communion, but recognized by GAFCON and the Global South provinces. Lines' role is to provide oversight to Anglican churches in Europe that exist outside of current Anglican structures, which includes AMiE.
History
AMiE was formed with the support of GAFCON (The Global Anglican Future Conference). GAFCON gave their full support at their second meeting in Nairobi, in October 2013. Initially its congregations were church plants that had been ejected from the Church of England for various reasons. More recently, evangelical Anglican churches have begun to plant churches under the AMiE banner.
The movement has received the support of the Archbishop of Nigeria, Nicholas Okoh.
In 2016 AMiE set out its vision to plant 25 churches by 2025 and 250 churches by 2050.
Bishop Lines ordained the first nine men as deacons and priests on 7 December 2017, at East London Tabernacle, a Baptist church in east London. Previously, clergymen associated with AMiE had come from the Church of England, or been ordained by Anglican bishops overseas. Eight men were ordained as deacons and one as a priest, all working for AMiE churches. For example, Robert Tearle, 24, was to serve as deacon at Trinity Church Scarborough, a 2017 church plant.
On 14 December 2020, AMIE became a proto-diocese (convocation) affiliated to the newly created Anglican Network in Europe; the network's other convocation is the Anglican Convocation in Europe, which has six churches in Scotland, Portugal, Cornwall and Surrey.
Theological position
AMiE takes a conservative stance on human sexuality, opposing same-sex marriage and women's ordination. Members of the executive of AMiE are required to hold complementarian views. AMiE leaders have made accusations that there is false teaching in Church of England leadership. Bishop Lee McMunn has stated that, while many "faithful Anglicans" remain within the Church of England, others find their route to ordination "blocked by liberal clergy who do not believe orthodox Anglican teachings".
AMiE's stated intent is not to threaten Anglicans within current structures, but to provide support for those already outside the structures.
Churches
AMiE currently has 25 churches under the leadership of Bishop Lines. This is an increase from 6 churches in September 2016.
AMiE is also aiming to plant a new church in Ramsgate in 2021.
Former AMiE churches
The following churches disaffiliated from AMiE |
https://en.wikipedia.org/wiki/Billboard%20Year-End%20Hot%20100%20singles%20of%202017 | The Billboard Hot 100 is a chart that ranks the best-performing singles of the United States. Its data, published by Billboard magazine and compiled by Nielsen SoundScan, is based collectively on each single's weekly physical and digital sales, as well as airplay and streaming. At the end of a year, Billboard will publish an annual list of the 100 most successful songs throughout that year on the Hot 100 chart based on the information. For 2017, the list was published on December 11, calculated with data from December 3, 2016 to November 25, 2017.
"Closer" by The Chainsmokers featuring Halsey was listed within the top 10 for the second year in a row, making it only the third song in history to achieve this, after Elton John's "Candle in the Wind 1997" and LeAnn Rimes' "How Do I Live", both of which were ranked in the top ten of the 1997 and 1998 lists.
Ed Sheeran was named the top Hot 100 artist of 2017. He scored the number-one Hot 100 song of the year with "Shape of You", one of two songs he placed on the list.
Year-end list
See also
2017 in American music
List of Billboard Hot 100 number-one singles of 2017
List of Billboard Hot 100 top-ten singles in 2017
References
United States Hot 100 Year-End
Lists of Billboard Year-End Hot 100 singles
2017 in American music |
https://en.wikipedia.org/wiki/Mitelman%20Database%20of%20Chromosome%20Aberrations%20and%20Gene%20Fusions%20in%20Cancer | The Mitelman Database of Chromosome Aberrations and Gene Fusions in Cancer is a free access database devoted to chromosomes, genes, and cancer. It was first published in 1983 as a book named "Catalog of Chromosome aberrations in Cancer" in the Journal of Cytogenetics and Cell Genetics, containing 3,844 cases. Subsequent editions of the Catalog were published 1985 (5,345 cases), 1988 (9,069 cases), 1991 (14,141 cases), 1994
(22,076 cases), and 1998 (30,541 cases). In 2000, it became an online database on open access hosted by the NCI (National Cancer Institute).
The information in the Mitelman Database of Chromosome Aberrations and Gene Fusions in Cancer relates cytogenetic changes and their genomic consequences, in particular gene fusions, to tumor characteristics, based either on individual cases or associations. All the data have been manually culled from the literature by Felix Mitelman in collaboration with Bertil Johansson and Fredrik Mertens.
"A Goldmine of Cytogenetic Data Linked to Cancer" (Center for Biomedical Informatics, National Cancer Institute 2023)
"Taking in consideration all the progress made in cancer cytogenetics, it would have been much slower without the Mitelman database."
The Mitelman Database is supported by NCI (National Cancer Institute), the Swedish Cancer Society and the Swedish Childhood Cancer Foundation. The database is updated quarterly in January, April, July, and October.
The database is available on-line (https://mitelmandatabase.isb-cgc.org) for searches related to cases cytogenetics, gene fusions, clinical associations, structural or numerical recurrent aberrations and references.
The database was last updated on October 16, 2023, with a total number of cases=77,061, a total number of unique gene fusions=33,711 and a total number of genes involved=14,046.
See also
Atlas of Genetics and Cytogenetics in Oncology and Haematology
COSMIC cancer database
Ensembl genome database project
Entrez Gene
GenBank
Gene Wiki
HUGO Gene Nomenclature Committee
International Agency for Research on Cancer
International Classification of Diseases for Oncology
Online Mendelian Inheritance in Man
UCSC Genome Browser
References
Cancer
Oncology
Cytogenetics |
https://en.wikipedia.org/wiki/Copying%20network%20models | Copying network models are network generation models that use a copying mechanism to form a network, by repeatedly duplicating and mutating existing nodes of the network. Such a network model has first been proposed in 1999 to explain the network of links between web pages, but since has been used to model biological and citation networks as well.
Origins
In 1999 Jon Kleinberg and 3 co-authors published an article to Computing and combinatorics attempting to construct a network model that explains patterns found in an analysis of the World Wide Web. The intuition behind the model was that when a user decides to build and publish her own web page, she encounters a list of links for her topic of interest on the web and ends up copying this collection, or many such collections to her own web page. This creating a new node in the network - the new page - and copying edges from already existing nodes in some fashion.
They outlined a model very generally, but didn't analyse the predictions of an exact model in detail, mostly due to computational limitations, but suggested that copying nodes randomly is a simple, model worthy mechanism for creating Zipfian distribution networks.
This paper since, has been cited over 1200 times, which is a number comparable to significant papers contributing to network science, like the one describing the Erdős–Rényi model (about 8300) and includes notable network science books like Mark Newman's.
Description
General model
To understand a general model, take a basic network growth model, which is characterized by four stochastic processes. Creation processes and for node- and edge-creation, and deletion processes and for node- and edge-deletion.
Take a discrete time timeframe, where consists of simply at each step, creating a node with probability , and similarly is deleting a node with probability ad(t). Consequently, this also means includes removing all edges that belonged to a node that was removed.
is where the essence of the copying model is. In the original article, they characterize with a probability distribution, that determines a node to add edges out of, and a number of edges that will be added. And with probability that the k edges are either copied or added randomly. With probability , all edges from v are drawn to nodes chosen independently and uniformly at random. With probability , the k edges are copied from a randomly chosen node . Meaning that neighbours of become neighbours of . If has a degree higher than , edges are selected randomly and if it has a lower degree , a next node is randomly selected and of its edges are copied, and so on.
It can be shown, that such a network produces a power law degree distribution, with an exponent where is the ratio of number of the randomly added edges to the number of the copied edges. So with a ratio between zero and 0.5 a power law distribution with an exponent of can be achieved. Also note that as the ratio approaches 1, the exp |
https://en.wikipedia.org/wiki/List%20of%20minor%20planets%3A%20508001%E2%80%93509000 |
508001–508100
|-bgcolor=#fefefe
| 508001 || || — || January 15, 2008 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.57" | 570 m ||
|-id=002 bgcolor=#fefefe
| 508002 || || — || March 13, 2008 || Kitt Peak || Spacewatch || V || align=right data-sort-value="0.58" | 580 m ||
|-id=003 bgcolor=#fefefe
| 508003 || || — || December 18, 2007 || Mount Lemmon || Mount Lemmon Survey || || align=right data-sort-value="0.65" | 650 m ||
|-id=004 bgcolor=#E9E9E9
| 508004 || || — || February 1, 2006 || Mount Lemmon || Mount Lemmon Survey || || align=right | 2.1 km ||
|-id=005 bgcolor=#E9E9E9
| 508005 || || — || August 22, 2004 || Kitt Peak || Spacewatch || || align=right | 1.3 km ||
|-id=006 bgcolor=#fefefe
| 508006 || || — || November 11, 2006 || Mount Lemmon || Mount Lemmon Survey || NYS || align=right data-sort-value="0.59" | 590 m ||
|-id=007 bgcolor=#fefefe
| 508007 || || — || December 26, 2006 || Kitt Peak || Spacewatch || NYS || align=right data-sort-value="0.61" | 610 m ||
|-id=008 bgcolor=#E9E9E9
| 508008 || || — || April 29, 2003 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.98" | 980 m ||
|-id=009 bgcolor=#E9E9E9
| 508009 || || — || January 19, 2015 || Haleakala || Pan-STARRS || || align=right | 2.0 km ||
|-id=010 bgcolor=#E9E9E9
| 508010 || || — || October 5, 2012 || Mount Lemmon || Mount Lemmon Survey || || align=right | 2.1 km ||
|-id=011 bgcolor=#fefefe
| 508011 || || — || September 11, 2010 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.66" | 660 m ||
|-id=012 bgcolor=#fefefe
| 508012 || || — || September 18, 2006 || Catalina || CSS || || align=right data-sort-value="0.74" | 740 m ||
|-id=013 bgcolor=#fefefe
| 508013 || || — || January 13, 2008 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.62" | 620 m ||
|-id=014 bgcolor=#fefefe
| 508014 || || — || April 6, 2000 || Socorro || LINEAR || || align=right data-sort-value="0.74" | 740 m ||
|-id=015 bgcolor=#E9E9E9
| 508015 || || — || June 16, 2012 || Haleakala || Pan-STARRS || || align=right | 2.5 km ||
|-id=016 bgcolor=#fefefe
| 508016 || || — || December 15, 2004 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.62" | 620 m ||
|-id=017 bgcolor=#E9E9E9
| 508017 || || — || November 28, 2013 || Mount Lemmon || Mount Lemmon Survey || || align=right | 2.1 km ||
|-id=018 bgcolor=#E9E9E9
| 508018 || || — || May 7, 2007 || Kitt Peak || Spacewatch || || align=right | 1.4 km ||
|-id=019 bgcolor=#fefefe
| 508019 || || — || July 15, 2013 || Haleakala || Pan-STARRS || || align=right | 1.0 km ||
|-id=020 bgcolor=#fefefe
| 508020 || || — || September 20, 2009 || Kitt Peak || Spacewatch || || align=right data-sort-value="0.94" | 940 m ||
|-id=021 bgcolor=#fefefe
| 508021 || || — || December 3, 2010 || Mount Lemmon || Mount Lemmon Survey || V || align=right data-sort-value="0.55" | 550 m ||
|-id=022 bgcolor=#fefefe
| 508022 || || — || September 20, 2003 || Kitt Peak || Spa |
https://en.wikipedia.org/wiki/Panmure%20railway%20station | Panmure railway station may refer to:
Panmure railway station, Auckland, on the Eastern Line of the Auckland railway network in New Zealand
Panmure railway station, Victoria, closed 1981, on the Warrnambool line in Australia |
https://en.wikipedia.org/wiki/Penrose%20railway%20station | Penrose railway station may refer to:
Penrose railway station, New South Wales, on the Main South line in Australia
Penrose railway station, Auckland, on the Auckland railway network in New Zealand |
https://en.wikipedia.org/wiki/Nomi%20%28retail%20chain%29 | Nomi was a network of retail supermarkets in Poland, owned by Nomi SA with its registered office in Kielce and a sales office in Warsaw. Nomi has about 20 stores in which approximately 1,800 people work. Since 2007, Nomi SA has been part of the Polish capital group managed by i4ventures.
On 28 May 2011 a fire broke out in the Leszno store that destroyed the entire building. On 30 December 2012 the store in Bydgoszcz closed, thereby leaving the only store in Kujawsko-Pomorskie located in Inowrocław. At the end of 2013, the company announced systemic bankruptcy. Since then, the decision has been made to close down the store in Koszalin, Stargard, Kielce, Radom, Tczew, Świętochłowice, Siemianowice Śląskie, Kluczbork, Płock and Pabianice.
In 2015, the company entered the liquidation bankruptcy phase. Bricomarche currently owns over 10 locations of the retail shop locations formerly ran by Nomi.
References
Supermarkets of Poland
Retail companies established in 1993
Retail companies disestablished in 2015
Convenience stores
Polish brands |
https://en.wikipedia.org/wiki/Therese%20Biedl | Therese Charlotte Biedl is an Austrian computer scientist known for her research in computational geometry and graph drawing. Currently she is a professor at the University of Waterloo in Canada.
Education
Biedl received her Diploma in Mathematics at the Technical University of Berlin, graduating in 1996
and earned a Ph.D. from Rutgers University in 1997 under the supervision of Endre Boros.
Research
Biedl's research is in developing algorithms related to graphs and geometry. Planar graphs are graphs that can be drawn without crossings. Biedl develops algorithms that minimize or approximate the area and the height of such drawings. With Alam, Felsner, Gerasch, Kaufmann, and Kobourov, Biedl found provably optimal linear time algorithms for proportional contact representation of a maximal planar graph.
Awards
Biedl was named a Ross & Muriel Cheriton Faculty Fellow in 2011, a recognition of the reach and importance of her scholarly works.
Selected publications
References
External links
Home page at University of Waterloo
Canadian computer scientists
Researchers in geometric algorithms
Academic staff of the University of Waterloo
Technical University of Berlin alumni
Rutgers University alumni
Living people
Canadian women computer scientists
Graph drawing people
Austrian computer scientists
Austrian women computer scientists
Year of birth missing (living people) |
https://en.wikipedia.org/wiki/Feminist%20HCI | Feminist HCI is a subfield of human-computer interaction (HCI) that applies feminist theory, critical theory and philosophy to social topics in HCI, including scientific objectivity, ethical values, data collection, data interpretation, reflexivity, and unintended consequences of HCI software. The term was originally used in 2010 by Shaowen Bardzell, and although the concept and original publication are widely cited, as of Bardzell's proposed frameworks have been rarely used since.
History
In the early 1980s, there was optimism as to how the field of cognitive psychology could contribute to the development of the field of HCI. As computer systems at the time were widely regarded as difficult to learn and use, mainstream information processing theories and models in psychology were used as a basis from which to develop design principles, methods, analytic tools and prescriptive advice for the design of computer interfaces. This was done generally by three methods: basic research, cognitive modeling and science communication.
One such contribution to the development of HCI in the 90s was by John M. Carroll in 1991, which described in detail how scientific principles were applied to HCI experimental design. Carroll writes that at the time, the 50 year struggle to establish psychology as a science was an important factor in trying to apply the scientific method to HCI studies. Through the 1970s, the typical measures used by empirical studies for HCI were relatively simple; error frequencies and performance times such as by using or testing Fitt's law. However, these scientifically minded studies did not produce insight into improving programming. It was not well understood at the time, how to use structured programming to make higher code quality that is more reliable and maintainable.
The term gender HCI was first described in 2006, and its development is related to feminist HCI. Gender HCI by comparison, examines the functional differences between females and males in using specific computing software such as Excel, whereas feminist HCI applies social principles to the techniques used in HCI design. While it was not disputed there were significant gender gaps in technology participation, there was academic disagreement about the importance or relevance of gender in HCI design in the 2000s. Feminist HCI was also influenced by science and technology studies research.
The term feminist HCI was first used in a 2010 paper by Shaowen Bardzell's article titled Feminist HCI: Taking Stock and Outlining an Agenda for Design. It was one of the first papers at the time to propose adoption of feminist theories into HCI research and practice. It was followed up witth a second publication in 2011 detailing the historical interaction between social science and feminism, and how this relates to HCI.
According to a 2020 study of 70 papers using of the term and citing Bardzell's original paper, it was found that Bardzell's proposed frameworks have been wid |
https://en.wikipedia.org/wiki/Iqbal%20al-Gharaballi | Igbal (sometimes Eqbal) 'Abd al-Latif al-Gharaballi (born 1952) is a Kuwaiti novelist.
Al-Gharaballi possesses a bachelor's degree in computer science, and worked for a time as a computer programmer at Kuwait Airways; she has also worked for the Kuwaiti Transportation Company during her career. She has published a number of novels and a memoir, and her work has appeared in the magazines al-Nahda and al-Yaqza.
References
1952 births
Living people
Kuwaiti women novelists
Kuwaiti novelists
20th-century novelists
20th-century women writers
Women memoirists
Kuwaiti memoirists |
https://en.wikipedia.org/wiki/Infinidat | Infinidat is an Israeli-American data storage company.
History
Infinidat was founded by Moshe Yanai in 2011. By 2015 it was valued at $1.2 billion, and in 2017 it was valued at $1.6 billion. The company has offices in 17 countries and two headquarters: one in Waltham, MA and one in Herzliya, Israel.
InfiniBox
In 2013 the company filed for thirty-nine patents, and later that year released its flagship product, the InfiniBox. Each system initially managed about five petabytes of data.
As of October 2017, the company had shipped about two exabytes worth of storage to its customers. The company uses conventional and flash storage, and has a better than one million IOPS performance and 99.99999 percent reliability. The product is used by large corporations and clients including cloud service providers, telecoms, financial services firms, healthcare providers, and others that require large amounts of data storage.
Funding
In 2015 the company received $150 million in funding during its Series B round led by TPG Growth.
In 2017, the company received $95 million in funding, in a Series C round led by Goldman Sachs. At this stage it had received $325 million in total funding.
References
Software companies established in 2011
Technology companies of Israel
Technology companies of the United States
Software companies based in Massachusetts
Computer storage companies
Software companies of the United States
2011 establishments in the United States
2011 establishments in Massachusetts
Companies established in 2011 |
https://en.wikipedia.org/wiki/Third%20Way%20%28Germany%29 | The III. Path or The Third Path (, ) is a far-right and neo-Nazi political party in Germany.
It was founded on 28 September 2013 by former NPD officials, and activists from the banned Free Network South. They have ties with Assad's government in Syria, Hezbollah in Lebanon, the National Corps, Misanthropic Division, Right Sector and Svoboda in Ukraine, the Nordic Resistance Movement in the Nordic countries. Their founder and chairman is Klaus Armstroff. The party mostly operates in Thuringia, Bavaria and Brandenburg.
A group of people bearing Der Dritte Weg flags marched in through a town in Saxony on 1 May 2019, the day before the Jewish remembrance of the Holocaust, carrying a banner saying "Social justice instead of criminal foreigners". The Central Council of Jews said that the state government should ban such marches if it were serious about tackling right-wing extremism. The party stood in the 2019 European elections.
Name
The party is registered at the Federal Returning Office as "DER DRITTE WEG" short-form: "III. Weg". According to the party's website, the official English translation of the name is "The Third Way", stylized as "THE THIRD WAY". Despite this, the party's name is commonly translated as "The Third Path" or "The III. Path".
Ideology
The party describes itself as national revolutionary and partially bases itself on the ideology of the left wing of the Nazi Party, namely the Strasser Brothers. The III. Path has widely been described as a ultranationalist and neo-Nazi party.
10 point program
On its website, the party presents a 10-point election program, available in 12 European languages.
Election results
Federal Parliament (Bundestag)
European Parliament
State elections
See also
Far-right politics in Germany
Strasserism
Neo-Nazism in Germany
Neo-völkisch
References
2013 establishments in Germany
Antisemitism in Germany
Fascist parties in Germany
German nationalist political parties
Neo-Nazi political parties in Europe
Neo-Nazism in Germany
Third Position
Political parties established in 2013
Nationalist parties in Germany
Neo-fascist parties
Strasserism |
https://en.wikipedia.org/wiki/Nevada%20Sports%20Network | Nevada Sports Network (NSN) is an events and sports-broadcasting group based out of Las Vegas, Nevada. It was founded in 1996 by Alex Shelton and is known for its production of many NCAA bowl game, NCAA Football and Basketball Games of the Week, Nevada Sports Broadcasting of NIAA Football and Basketball Championships as well as branded radio and television shows with Mountain West Conference and live Sporting Events producing radio and television broadcasts.
As a sports-broadcasting group, Nevada Sports Network acquires the rights for live collegiate and pro teams to be broadcast on the Las Vegas Sports Network stations: KWWN (ESPN Radio), KENO (ESPN Deportes Radio), KKGK (Fox Sports Radio 98.9 FM and 1340 AM), and KRLV (NBC Sports Radio), making them one of the largest rights holders for collegiate athletics nationwide.
Nevada Sports Network owned the Las Vegas Broadcasting Rights for the Seattle Seahawks, Denver Broncos, Tennessee Titans and Arizona Cardinals. NCAA - Washington, Hawaii, Washington State, USC, Arizona, Arizona State, Oregon, BYU, Kansas, Utah, Colorado, Oklahoma. MLB - Oakland A's, Chicago Cubs, Anaheim Angels, New York Yankees. NHL - Los Angeles Kings - being the only radio broadcasts of the NHL in Las Vegas. Their decision to program stations with radio broadcasts of live play by play allowed NSN to partner with other Regional NCAA Event Broadcasters, as they air play by play broadcasts against sports radio stations that air no live games.
NSN has produced the Mountain West Basketball Tournament for National radio, as well as producing their "This Week in the Mountain West Conference" Nationally distributed weekly radio show. The NSN National Radio Network was the second largest national radio network in the country only behind Westwood One for many years.
Nevada Sports Network produced live television and radio broadcasts of Nevada High School State Football and Basketball Championships. As a radio network, NSN developed a 10 Radio Station network to broadcast these tournaments. The television broadcasts carried in Reno and Las Vegas were the only statewide broadcasts of radio and television for these events. NSN worked with Television and Radio talent from the Reno area, along with Nevada talent. The Nevada Sports Network website worked with Rivals Network. FOX (KVVU) 5 developed a High School Broadcast with Dave Hall and Alex Shelton that aired for 2 years in the Las Vegas market. NSN is the national abbreviation for Nevada Sports Network and is national resource for coverage of Nevada events for National Radio Networks, Top 50 Radio markets. Their Radio Show - Sports Line aired in Las Vegas for 7 years working with KSHP 1400 General Manager Brett Grant, Fred Weinberg of KRLV 1340 and Lotus Radio in Reno and Las Vegas and Lee Pete - the legendary Las Vegas Sports Broadcaster. NSN is a partner with the NIAA and has worked with UNLV and UNR regarding radio and television broadcasts, network growth, sponsorships.
A |
https://en.wikipedia.org/wiki/Neutral%20Bay%20ferry%20services | Neutral Bay ferry services (numbered F5) is a commuter ferry route in Sydney, New South Wales, Australia. Part of the Sydney Ferries network, it serves several Lower North Shore suburbs around Neutral Bay.
Services begin on the southern side of Sydney Harbour at Circular Quay, then head northeast to Kirribilli. From there, services proceed in a loop, stopping at North Sydney, Neutral Bay and Kurraba Point. The journey is completed by returning to Kirribilli and Circular Quay. Services operate every half an hour on weekdays and every hour at night and on weekends.
Wharves
Circular Quay
Circular Quay wharf is located at the northern end of the Sydney central business district. The locality of Circular Quay is a major Sydney transport hub, with a large ferry, rail and bus interchange.
Kirribilli
Kirribilli ferry wharf is located near Holbrook Avenue in Kirribilli. It consists of a single wharf.
North Sydney
North Sydney ferry wharf (also known as High Street wharf) is located at the end of High Street, North Sydney and serves the eastern part of the suburb. It consists of a single wharf.
Neutral Bay
Neutral Bay ferry wharf is located at the end of Hayes Street, Neutral Bay. It consists of a single wharf.
The wharf was rebuilt between February and August 2012.
Kurraba Point
Kurraba Point ferry wharf is located near Kurraba Road in Kurraba Point. It consists of a single wharf.
Patronage
The following table shows the patronage of Sydney Ferries network for the year ending 30 June 2022.
References
Ferry transport in Sydney |
https://en.wikipedia.org/wiki/I%27m%20a%20Celebrity...Get%20Me%20Out%20of%20Here%21%20%28Australian%20season%204%29 | The fourth season of Australia's I'm a Celebrity...Get Me Out of Here, which was commissioned by Network Ten on 8 November 2017, premiered on 28 January 2018 and concluded on 12 March 2018. The season contained the show’s 100th episode which was broadcast on 5 February 2018. Comedian Fiona O'Loughlin won the series, beating singer Shannon Noll and boxer Danny Green, and was crowned "Queen of the Jungle", the $100,000 prize money, was won for her selected charity, Angel Flight.
Celebrities
Celebrity guests
Results and elimination
Indicates that the celebrity received the most votes from the public
Indicates that the celebrity was immune from the vote
Indicates that the celebrity was named as being in the bottom 2 or 3.
Indicates that the celebrity received the fewest votes and was eliminated immediately (no bottom three)
Indicates that the celebrity withdrew from the competition
Tucker Trials
The contestants take part in daily trials to earn food. These trials aim to test both physical and mental abilities. Success is usually determined by the number of stars collected during the trial, with each star representing a meal earned by the winning contestant for their camp mates.
The public voted for who they wanted to face the trial
The contestants decided who did which trial
The trial was compulsory and neither the public nor celebrities decided who took part
The contestants were chosen by the evicted celebrities
Notes
Anthony had to decide which two contestants had to do the Tucker Trial.
As the tucker trial was created before Bernard departed, the contestants were still able to try and win 10 stars instead of nine.
The tucker trial involved both Anthony & Danny weighing themselves in at the beginning, eating all different types of disgusting foods and then weighing themselves again, who ever gained the most weight would win. Both contestants had supporters, the winner would receive meals for himself and his supporters. Danny's supporters were Fiona & Peter.
Tiffany's fear of heights made her exclude herself from the challenge, as a result Chris decided to take her place for her.
The trial was called blind soccer- with the celebrities being blindfolded and an assortment of animals introduced onto the pitch during and in between rounds. The game was boys VS girls- with the boys winning 4:3. There was one round where the hosts (Dr Chris Brown and Lady Julia Morris) allowed the girls to take off their blindfolds as they were losing.
Before the trial the celebrities picked teams- one being Peter's and the other Simone's. Simone's team won the trial so they got to 'feast like kings'. Peter's team (who lost the trial) survived on very small portions of rationed rice and beans for dinner.
During this episode the celebrities were reunited with their family members as it was their third-last day in camp. The family members stayed with their celebrity for the day and a one of them took part in the tucker trial with the celebrity. In the en |
https://en.wikipedia.org/wiki/Alexander%20Vinnik | Alexander Vinnik () is a Russian computer expert. From 2011 to 2017, he worked at BTC-e, a Russian cryptocurrency exchange.
BTC-e
Vinnik is alleged to have directed and supervised the operations and finances of the BTC-e cryptocurrency exchange from 2011 to 2017.
In 2020, the London-based cryptocurrency analysis firm Elliptic claimed that BTC-e may have been used by Fancy Bear during the 2015–2016 Democratic National Committee cyber attacks.
BTC-e assets were ultimately acquired by Konstantin Malofeev under the control of the FSB.
Arrest
On July 25, 2017, Vinnik was arrested in Ouranoupoli, Greece at the request of the U.S. on suspicion of laundering $4 billion through BTC-e. Vinnik has denied the charges.
In late July 2017, the U.S. requested Vinnik's extradition from Greece. In early October 2017, his extradition was requested by the Prosecutor General of Russia.
In late June 2018, France requested his extradition, accusing him of fraud.
In early July 2018, Russia submitted a new extradition request, reportedly based on a confession to additional hacking offenses.
In November 2018, Vinnik went on a three-month hunger strike in protest of his detainment in Greece.
In January 2020, Vinnik was extradited to France.
In June 2020, New Zealand Police announced the seizure of $90 million from WME Capital Management, a company in New Zealand registered to Vinnik.
On August 5, 2022, the United States Justice Department released a statement saying he made his first appearance that morning for the 21-count superseding indictment from January 2017. The federal court he appeared at was in San Francisco, California.
Sentencing
In December 2020, Vinnik was acquitted on involvement with the Locky ransomware charges, but was sentenced to five years in prison for money laundering.
U.S. extradition
On August 4, 2022, Vinnik was extradited from Greece to the United States to face charges of money laundering and operation of an unlicensed money service business in the US.
References
Living people
People associated with Bitcoin
People from Kurgan, Kurgan Oblast
Russian businesspeople in information technology
Year of birth missing (living people) |
https://en.wikipedia.org/wiki/ASTAC | ASTAC () is a B band to K band (NATO) SIGINT aircraft pod made by Thales Group. It is a reconnaissance system used to intercept and analyse tactical and technical data on Radio frequency emissions radiated by land-based radars and weapon systems. Recording capabilities and datalinks for real-time interfaces with ground stations are available as options. In operation under F-4 Phantom, Mirage 2000-5, Mirage 2000D, Mirage F1. Two of them also equip the two Transall C-160G Gabriel, one at each wingtip. It has been fitted under F-16 for NATO trials. The different generations of ASTAC are operated by more than ten air forces worldwide.
References
Signals intelligence
Thales Group |
https://en.wikipedia.org/wiki/Mosman%20Bay%20ferry%20services | The Mosman Bay ferry service (numbered F6) is a commuter ferry route in Sydney, New South Wales, Australia. Part of the Sydney Ferries network, it serves several Lower North Shore suburbs around Mosman Bay.
Services begin on the southern side of Sydney Harbour at Circular Quay, then head northeast to the Cremorne Point wharf. Proceeding around Robertsons Point, ferries travel up Mosman Bay to the terminus. Services operate every half an hour on weekdays and every hour at night and on weekends.
Wharves
Circular Quay
Circular Quay wharf is located at the northern end of the Sydney central business district. The locality of Circular Quay is a major Sydney transport hub, with a large ferry, heavy rail, light rail and bus interchange.
Cremorne Point
Cremorne Point ferry wharf is located at the end of Milson Road, at the southern end of Cremorne Point. It consists of a single wharf.
The wharf was extensively damaged during a storm in June 2007. It reopened in September 2007.
It was rebuilt between October 2014 and February 2015.
South Mosman
South Mosman ferry wharf is located at the end of Musgrave St, and hence is marked "Musgrave St. Wharf" on some publications. It serves the suburb of Mosman and consists of a single wharf.
Old Cremorne
Old Cremorne ferry wharf is located near Kareela Road in Cremorne Point. It serves central area of the suburb and consists of a single wharf.
Mosman Bay
Mosman Bay ferry wharf is located at the end of Avenue Road, Mosman. It consists of a single wharf.
The wharf was rebuilt between March and October 2014.
Patronage
The following table shows the patronage of Sydney Ferries network for the year ending 30 June 2022.
References
Ferry transport in Sydney |
https://en.wikipedia.org/wiki/Thursday%20Night%20Baseball | Thursday Night Baseball is the de facto branding used for live game telecasts of Major League Baseball on Thursday nights.
History
USA Network Thursday Night Baseball (1979–1983)
From 1979 to 1983, the USA Network broadcast Major League Baseball games on Thursday nights.
The series began April 26, 1979 with a doubleheader: Cleveland at Kansas City (Jim Woods/Bud Harrelson) followed by Baltimore at California (Monte Moore/Maury Wills). The second game of the night was typically, based out of the West Coast. The games were usually blacked out of the competing teams' cities. Once in a while, when USA did a repeat of the telecast late at night, local cities were allowed to show the rerun.
From 1980 to 1981, Woods and Nelson Briles (replacing Harrelson) did the early games (except for a game at Montreal on October 2, 1980, which reunited Woods with onetime Boston Red Sox radio partner Ned Martin), while Moore and Wes Parker (replacing Wills) called the late game.
In 1982, doubleheaders did not start until June 17. Prior to the doubleheaders starting, Moore and Parker did the individual game until then. When the doubleheaders finally began, Moore and Parker moved over to the late game for the rest of the year. Meanwhile, Eddie Doucette (replacing Jim Woods) and Nelson Briles were assigned to call the early game.
USA continued with the plan of not starting doubleheaders until June in the final year of the package in 1983. Steve Zabriskie and Al Albert filled in for Eddie Doucette in September 1982 (Steve Grad also occasionally substituted) while Albert replaced Doucette for a game or more in 1983.
ABC's Thursday Night Baseball (1989)
In 1989, the ABC network aired Thursday night Major League Baseball games after having broadcast Monday Night Baseball (and occasional Sunday afternoon games) since 1976. This was ABC's final year of consecutive baseball coverage (alongside NBC, which had telecast Saturday afternoon games since 1966 and Major League Baseball in general since 1947) due to CBS signing a four-year contract (spanning from 1990 to 1993) to become the exclusive national broadcast network provider for Major League Baseball games.
Al Michaels, Jim Palmer, and Tim McCarver formed ABC's lead broadcast team, while Gary Thorne and Joe Morgan were the second team.
Fox Sports Net and Fox Family's coverage (1997–2001)
In 1997, as part of the contract with Major League Baseball it had signed the year before, Fox Sports gained an additional outlet for its coverage. Its recently launched network of cable regional sports networks, Fox Sports Net, was given rights to two Thursday night games per week, one for the Eastern and Central time zones and one for the Mountain and Pacific time zones.
In 2000, as part of an exclusive contract Fox signed with MLB, that coverage passed to Fox Family Channel and was reduced to one game per week. After the 2000 season, Fox also gained rights to the entire postseason and moved a large portion of its Division Se |
https://en.wikipedia.org/wiki/Yuval%20Shahar | Yuval Shahar, M.D., Ph.D., (1958 -) is an Israel professor, physician, researcher and computer scientist
Shahar served as the chair of the Ben Gurion University (BGU) Department of Software and Information Systems Engineering, the Josef Erteschik Chair in Information Systems Engineering, and head of the BGU Medical Informatics Research Center.
Shahar's research is on artificial intelligence in medicine, focusing on medical decision-support systems for physicians and for patients, and on automated knowledge discovery from time-oriented clinical data.
Education and career
Shahar was born in 1958 in Jerusalem. He studied for an M.D. degree at the Hebrew University (1975–1981), while also taking courses in mathematics and computer science.
After an internship in the Soroka Medical Center (1982–1983), Shahar served as a physician in the Israel defense forces (IDF) Medical Corps. He was the head of the Medical Corps' Medical Informatics Section (1983–1988), and founded its Medical Informatics Branch. During that time, he pursued graduate studies in Mathematics and Computer Sciences at Bar-Ilan University (1985–1988). Shahar headed a 50-person team that, among other tasks, designed the Medical Corps' emergency-situations strategic decision-support system connecting 32 hospitals, and an early version of the IDF electronic medical record.
Shahar was the recipient of the 1988 US-Israel Fulbright Fellowship in the Natural Sciences area. He then traveled to Yale University, joining the Computer Science department. Shahar then worked on mobile-robot planning with Drew McDermott and received (1990) an M.Sc. in Computer Science (with a focus on Artificial Intelligence).
Shahar then went to Stanford University, where he obtained (1994) a Ph.D. (focusing on temporal reasoning in medicine) in the medical information sciences program. After a short post-doctoral period(1994–1995), Shahar stayed as a senior research scientist (1995–1997), and then (1997–2000) as an assistant professor of medicine (biomedical informatics) and as an assistant professor of computer science. Shahar worked on temporal reasoning and planning in medical domains
Shahar returned to Israel in 2000 and joined BGU, to found and head its Medical Informatics Research Center. He also became the second chair of the new department of information systems engineering at BGU's faculty of engineering.
Academic and clinical work
Shahar's research has focused on temporal reasoning, temporal information visualization, temporal data mining, automated therapy administration, knowledge acquisition and representation, personal decision analysis, and group decision making. He has applied his work mostly in biomedical domains, as well in domains such as homeland security and information security.
Academics
Shahar served (2005–2008) as the Chair of the BGU Department of Information and Software Engineering and as the Deputy Dean for Research & Development of BGU's Faculty of Engineering (2003–20 |
https://en.wikipedia.org/wiki/Tian%20Zheng | Tian Zheng is a Chinese-American applied statistician whose work concerns Bayesian modeling and sparse learning of complex data from applications including social networks, bioinformatics, and geoscience. She is a professor of statistics at Columbia University, and chair of the Columbia Department of Statistics.
Education and career
Zheng was a child of Tsinghua University faculty,
and graduated from Tsinghua University in 1998, majoring in applied mathematics with a minor in computer science. Her interest in statistics was sparked by a junior-year project in medical data processing. She went to Columbia University for graduate study in statistics, and earned a master's degree in 2000 and a Ph.D. in 2002. Her dissertation, Multiple-Marker Screening Approach Towards the Study of Complex Traits in
Human Genetics, was supervised by Shaw-Hwa Lo.
She remained at Columbia as an assistant professor in statistics, became an untenured associate professor in 2007, and was granted tenure in 2012. She was promoted to full professor in 2017, and became department chair in 2019.
Recognition
Zheng became an Elected Member of the International Statistical Institute in 2011, and a Fellow of the American Statistical Association in 2014. She was named to the 2022 class of Fellows of the Institute of Mathematical Statistics, for "fundamental research on sparsity and variable importance, and for significant contributions to social network theory and to genetics".
References
External links
Home page
Year of birth missing (living people)
Living people
American statisticians
American women statisticians
Chinese statisticians
Chinese women scientists
Tsinghua University alumni
Columbia Graduate School of Arts and Sciences alumni
Columbia University faculty
Elected Members of the International Statistical Institute
Fellows of the American Statistical Association
Fellows of the Institute of Mathematical Statistics |
https://en.wikipedia.org/wiki/Robot%20Chicken%20%28season%209%29 | The ninth season of the stop-motion television series Robot Chicken began airing in the United States on Cartoon Network's late night programming block, Adult Swim, on December 10, 2017, containing 20 episodes.
Episodes
References
2017 American television seasons
2018 American television seasons
Robot Chicken seasons |
https://en.wikipedia.org/wiki/CryptoKitties | CryptoKitties is a blockchain game developed by Canadian studio Dapper Labs. The game allows players to buy, sell, and create NFTs using on Ethereum. These NFTs represent virtual cats. The game's popularity in December 2017 congested the Ethereum network, causing it to reach an all-time high in the number of transactions and slowing it down significantly.
Dapper Labs was spun-off from Axiom Zen. Both companies are based in Vancouver, Canada. CryptoKitties is the first major game to use blockchains, and one of the earliest examples of a blockchain project designed for recreation.
Gameplay
Players purchase, breed and trade virtual cats that have different visual features of varying levels of rarity. Players must purchase Ether cryptocurrency to join the game, and spend it to perform each breeding and trade action within the game.
The virtual cats are breedable and carry a unique number and 256-bit distinct genome with DNA and different attributes (known as "") that can be passed to offspring. Several traits can be passed down from the parents to the offspring. There are a total of 12 for any cat, including pattern, mouth shape, fur, eye shape, base color, accent color, highlight color, eye color, and optional wild, environment, 'purrstige' and 'secret'. Other features like cool downtimes are not passed down, but are instead a function of the 'generation' of the offspring, which is one more than the 'generation' of the highest 'generation' attribute.
A CryptoKitty does not have a permanently assigned gender. While they can only engage in one breeding session at one time, each cat is able to act as either matron or sire. There is a 'cooldown' time that indicates how soon the cat can breed again, which goes up with the number of breeds, capped at one week.
The virtual cats are static images that can only be purchased, bred and sold. The game has no goal.
Technology
CryptoKitties operates on Ethereum's underlying blockchain network. Each CryptoKitty is a non-fungible token (NFT). Each is unique and owned by the user, validated through the blockchain, and its value can appreciate or depreciate based on the market. CryptoKitties cannot be replicated and cannot be transferred without the user's permission even by the game developers. Users can interact with their CryptoKitties, having the ability to buy, sell, and sire (breed) them. However, the CryptoKitty art is not on the blockchain and is instead owned by Axiom Zen. The company released some of the art under a new 'Nifty' license that lets players use the image of their CryptoKitty in a limited way.
History
A test version of CryptoKitties was unveiled at ETH Waterloo on October 19, 2017, an Ethereum hackathon. The game launched on 28 November 2017 following a five-day closed beta.
Genesis, the first high selling cat was sold for ETH246.9255 (~US$117,712) in December 2017.
On March 20, 2018, it was announced that CryptoKitties would be spun off into its own company, Dapper Labs, and raised $1 |
https://en.wikipedia.org/wiki/Aries%20Telecoms | Aries Telecoms (M) Berhad is a computer supplier founded in 1996 in Malaysia.
History
It expanded into the field of system integration for small businesses, predominantly involving the design, deployment and maintenance of LAN solutions deploying Ethernet networking technologies. This gave them a platform to specialise in Ethernet network technology. By 2005, the business focus was changed to networking technologies and associated services. The company signed a contract with the Malaysian state of Malacca to implement a statewide wireless network project linking all government offices and facilities within the state of Malacca. This project was successfully launched on 3 October 2002 by the then Chief Minister of the State of Malacca, Datuk Seri Haji Mohd Ali Bin Mohd Rustam.
Growth
The company began in 2004 to build Malaysia's first carrier class Metro Ethernet fiber optic border-to- border network spanning Peninsular Malaysia. Through a partnership with Fiberail Sdn Bhd, a subsidiary of Telecom Malaysia Berhad, which had deployed fiber optic cable along various of Malaysia's railways and pipelines, the Group capitalised on this existing network of unutilized dark fiber running from Padang Besar on the Thailand-Malaysia border to Johor Bahru on the Singapore-Malaysia border. Through various tech partnerships, the Group installed its current network switching technology and, following huge investment, the first phase of this nationwide Metro Ethernet network was completed and commissioned in December 2006. The company also installed its NOC in Kuala Lumpur at this time and network services to customers commenced in March 2007. Between 2006 and 2014, it continued to upgrade its national network to meet anticipated further growth of bandwidth demand in Peninsular Malaysia as well as preparing itself for expansion within the wider South East Asia region. The company constructed a further two cross-border networks spanning Peninsular Malaysia in 2012 and 2013; and three networks were built between 2006 and 2014 supporting the Klang Valley area.
References
External links
Mobile phone companies of Malaysia
Telecommunications companies of Malaysia
Companies based in Kuala Lumpur
Telecommunications companies established in 1996
1996 establishments in Malaysia
Malaysian brands
Companies listed on Bursa Malaysia
Ministry of Communications and Multimedia (Malaysia) |
https://en.wikipedia.org/wiki/Cycling%20Ranking | Cycling Ranking is an online database that offers insight into the yearly and overall career performances of professional road racing cyclists. The database contains race data going back to year 1869. Its aim is to provide historical context to rider's performance over time by means of an all-time ranking for male road-racing cyclists based on their results in professional road races. The site and his ranking have been used by writers of cycling literature in order to make a selection of historical riders to be represented in their books.
Rider Rankings
The main part of the database provides access to the individual rider rankings. It offers range of different views into the history of professional cyclists and a personal page for each of the riders. Different individual ranking are:
Yearly Rankings.
Top 10-Year Average Ranking, that attempts to correct the ranking for riders that have exceptionally long careers.
Contemporary Rankings, where cyclists are being compared to their contemporaries.
The main ranking is the Overall Individual Ranking, that currently has the following top 10:
Country Rankings
The Country Rankings give a historical overview of the performances of countries respective to each other and rankings of individual riders for each country, both yearly and overall since 1869. Currently the overall Top 10 Country Ranking is as follows
Team Rankings
Besides individual and country rankings the database attempts to offer a historical overview of the commercial trade teams, its directors and its managers, again, both yearly and overall. At the moment the most successful trade team is the Peugeot Cycling Team, the top team manager, Patrick Lefevere and the top directeur sportif, Lomme Driessens.
References
External links
Sports databases
Road bicycle racing
Cycling websites |
https://en.wikipedia.org/wiki/Asia%20Network%20Television | Asia Network Television (), often called Asia TV, is an Iraqi satellite television channel based in Baghdad, Iraq that was launched in 2012. The Executive director is Thaeer Jead Alhasnawi () since June, 2020
Programs
Asia Network Television broadcasts many programs, most notably:
Talaba
Stadium
Almnawora
Swalef
Besaraha
See also
Television in Iraq
References
External links
Asia Network Television Official website
Television stations in Iraq
Arab mass media
Arabic-language television stations
Television channels and stations established in 2012
Arab Spring and the media |
https://en.wikipedia.org/wiki/Tales%20of%20Arcadia | Tales of Arcadia is a trilogy of computer-animated science fantasy television series created for Netflix by Guillermo del Toro and produced by DreamWorks Animation and Double Dare You. The series comprising the trilogy follows the inhabitants of the small suburban town of Arcadia Oaks, which is secretly home to various supernatural creatures and the young heroes who fight against the forces of evil that lurk in the shadows.
The three installments of the trilogy, Trollhunters, 3Below and Wizards, have been released worldwide.
Since its release, the franchise has been widely praised as an ambitious and boundary-pushing animated series, with Filmink's Travis Johnson calling it "the best children's animation to come along since Avatar: The Last Airbender." Trollhunters was nominated for nine Daytime Emmy Awards in 2017, winning more than any other animated or live-action television program that year, and the trilogy has been twice nominated for the Emmy for Outstanding Children's Animated Series. It has also received or been nominated for a BAFTA Award, several Annie Awards, Golden Reel Awards, a Saturn Award, and twice won the Kidscreen Award of "Best New Series" for the first and final chapters, Trollhunters and Wizards. The franchise has been critically acclaimed for its high-quality CGI animation, its dark emotional and mature tone and complex writing, voice acting, representation of Latin Americans and immigrants, themes of prejudice, music, humor, and characters.
The show has also spawned several original children's books and has been adapted into a series of graphic novels by Marc Guggenheim and Richard Hamilton released by Dark Horse, and a video game titled Trollhunters: Defenders of Arcadia, released on PlayStation 4, Xbox One, Nintendo Switch and Microsoft Windows.
In August 2020, it was announced the trilogy would be concluded with a full-length feature film titled Trollhunters: Rise of the Titans, which was released to Netflix on July 21, 2021.
Production
Guillermo del Toro initially envisioned the idea of Trollhunters as a live-action television series. However, this was deemed impractical due to budgetary concerns of using computer generated monsters as main cast members in a live-action production, and as a result he instead turned the idea into a book he co-wrote alongside Daniel Kraus and published by Disney-Hyperion. DreamWorks Animation then optioned the book to develop as an animated feature film set to be directed by Pixar veteran Rodrigo Blaas, who stayed on as executive producer when Netflix greenlit the project as a CGI-animated television series. Marc Guggenheim was hired to pen the original screenplay for the film version, and went on to write pilot for Trollhunters. Dan and Kevin Hageman were brought on as co-executive producers for the series, with Aaron Waltke, AC Bradley, and Chad Quandt joining the writers' room.
Production on the series and its subsequent sequels began in early 2014 and continued until the end |
https://en.wikipedia.org/wiki/Opta | Opta or OPTA may refer to:
Opta Sports, a sports data company
Onafhankelijke Post en Telecommunicatie Autoriteit, a former Dutch government agency
SunOpta, a Canadian food and mineral company
Tarbela Dam Airport (ICAO code OPTA), an airport in Pakistan |
https://en.wikipedia.org/wiki/European%20Data%20Protection%20Board | The European Data Protection Board (EDPB) is a European Union independent body with juridical personality whose purpose is to ensure consistent application of the General Data Protection Regulation (GDPR) and to promote cooperation among the EU’s data protection authorities. On 25 May 2018, the EDPB replaced the Article 29 Working Party.
Tasks
The EDPB remit includes issuing guidelines and recommendations, identifying best practices related to the interpretation and application of the GDPR, advising the European Commission on matters related to the protection of personal data in the European Economic Area (EEA), and adopting opinions to ensure the consistency of application of the GDPR by the national supervisory authorities, in particular on decisions having cross-border effects. Additionally, the EDPB is tasked with acting as a dispute resolution body in case of dispute between the national authorities cooperating on enforcement in the context of cross-border cases, encouraging the development of codes of conduct and establishing certification mechanisms in the field of data protection, and promoting cooperation and effective exchange of information and good practices among national supervisory authorities.
Chairmanship
The European Data Protection Board is represented by its Chair who is elected from the members of the Board by simple majority for a five-year term, renewable once. The same election procedure and term of office apply to the two deputy chairs.
Currently, the Chairmanship of the Board is held by:
Andrea Jelinek, Chair,
Ventsislav Karadjov, Deputy Chair
Aleid Wolfsen, Deputy Chair
Members
The Board is composed of representatives of the 27 EU and 3 EEA EFTA national data protection authorities and the European Data Protection Supervisor (EDPS).
External links
EDPB official website
European Commission website on the EDPB
European Union official website, EDPB
References
European Union law
Information privacy |
https://en.wikipedia.org/wiki/Are.na | Are.na is an online social networking community and creative research platform founded by Charles Broskoski, Daniel Pianetti, Chris Barley, and Chris Sherron. Are.na was built as a successor to hypertext projects like Ted Nelson's Xanadu, and as an ad-free alternative to social networks like Facebook, forgoing "likes," "favorites," or "shares" in its design. Are.na allows users to compile uploaded and web-clipped "blocks" into different "channels," and has been described as a "vehicle for conscious Internet browsing," "playlists, but for ideas," and a "toolkit for assembling new worlds."
Features and community
Are.na is popular amongst designers, artists, and architects including Cory Arcangel, Michael Bell-Smith, Margaret Lee, Laurel Schwulst, Emily Segal, Martine Syms, Allan Yu, and others who publicly cite Are.na as a tool in their creative process. Are.na's blog, written and curated by Meg Miller, includes essays about Are.na's research and publishing tools as well as noteworthy or "featured" user channels.
Are.na-specific terms include:
Blocks: uploaded or web-clipped links, images, text, PDF, video, or other file formats.
Channels: file folders for organizing blocks
Revenue model
Are.na is free to peruse but finances itself by upselling premium accounts with the ability to upload an unlimited number of private blocks. It also sells branded apparel on its store.
Unlike Pinterest, Are.na does not finance itself through advertising or user data collection.
History
Co-founder Charles Broskoski began working for Rhizome's John Michael Boling and Sapient Corporation's Stuart Moore in the early 2010s, coding prototypes of a platform which would containerize knowledge into "informational building blocks." Soon after, Broskoski brought artist Damon Zucconi and K-HOLE's Dena Yago onto the project. Broskoski, Yago, and Zucconi eventually split off to found Are.na, soon joined by co-founder Chris Sherron (also of K-HOLE) and Dan Brewster. Broskoski set out to build an open-ended community tool, with Ted Nelson's Computer Lib/Dream Machines and hypertext project Xanadu as major influences on Are.na's founding and design.
Collaborations
In 2015, Are.na worked with the Guggenheim Museum on the Åzone Futures Market. The museum's first online exhibition, curated by Troy Conrad Therrien, Åzone Futures Market allowed visitors to the site to invest cåin, a digital currency, in different technology-driven visions of the future.
Two years later, Are.na partnered with the Chicago Architecture Biennial, building out their blog alongside ArchDaily, Archinect, and Architizer. Are.na has also partnered with the Manhattan Museum of Arts and Design, New Inc. incubator, the Vilém Flusser archives, and artists Carson Salter and David Hilmer Rex.
References
External links
Social media companies of the United States
Internet properties established in 2014
Image-sharing websites
American photography websites |
https://en.wikipedia.org/wiki/CIFAR-10 | The CIFAR-10 dataset (Canadian Institute For Advanced Research) is a collection of images that are commonly used to train machine learning and computer vision algorithms. It is one of the most widely used datasets for machine learning research. The CIFAR-10 dataset contains 60,000 32x32 color images in 10 different classes. The 10 different classes represent airplanes, cars, birds, cats, deer, dogs, frogs, horses, ships, and trucks. There are 6,000 images of each class.
Computer algorithms for recognizing objects in photos often learn by example. CIFAR-10 is a set of images that can be used to teach a computer how to recognize objects. Since the images in CIFAR-10 are low-resolution (32x32), this dataset can allow researchers to quickly try different algorithms to see what works.
CIFAR-10 is a labeled subset of the 80 Million Tiny Images dataset from 2008, published in 2009. When the dataset was created, students were paid to label all of the images.
Various kinds of convolutional neural networks tend to be the best at recognizing the images in CIFAR-10.
Research papers claiming state-of-the-art results on CIFAR-10
This is a table of some of the research papers that claim to have achieved state-of-the-art results on the CIFAR-10 dataset. Not all papers are standardized on the same pre-processing techniques, like image flipping or image shifting. For that reason, it is possible that one paper's claim of state-of-the-art could have a higher error rate than an older state-of-the-art claim but still be valid.
Benchmarks
CIFAR-10 is also used as a performance benchmark for teams competing to run neural networks faster and cheaper. DAWNBench has benchmark data on their website.
See also
List of datasets for machine learning research
MNIST database
References
External links
CIFAR-10 page - The home of the dataset
Canadian Institute For Advanced Research
Similar datasets
CIFAR-100: Similar to CIFAR-10 but with 100 classes and 600 images each.
ImageNet (ILSVRC): 1 million color images of 1000 classes. Imagenet images are higher resolution, averaging 469x387 resolution.
Street View House Numbers (SVHN): Approximately 600,000 images of 10 classes (digits 0-9). Also 32x32 color images.
80 million tiny images dataset: CIFAR-10 is a labeled subset of this dataset.
Datasets in computer vision |
https://en.wikipedia.org/wiki/Q%20Sharp | Q# (pronounced as Q sharp) is a domain-specific programming language used for expressing quantum algorithms. It was initially released to the public by Microsoft as part of the Quantum Development Kit.
History
Historically, Microsoft Research had two teams interested in quantum computing, the QuArC team based in Redmond, directed by Krysta Svore, that explored the construction of quantum circuitry, and Station Q initially located in Santa Barbara and directed by Michael Freedman, that explored topological quantum computing.
During a Microsoft Ignite Keynote on September 26, 2017, Microsoft announced that they were going to release a new programming language geared specifically towards quantum computers. On December 11, 2017, Microsoft released Q# as a part of the Quantum Development Kit.
At Build 2019, Microsoft announced that it would be open-sourcing the Quantum Development Kit, including its Q# compilers and simulators.
Bettina Heim currently leads the Q# language development effort.
Usage
Q# is available as a separately downloaded extension for Visual Studio, but it can also be run as an independent tool from the Command line or Visual Studio Code. The Quantum Development Kit ships with a quantum simulator which is capable of running Q#.
In order to invoke the quantum simulator, another .NET programming language, usually C#, is used, which provides the (classical) input data for the simulator and reads the (classical) output data from the simulator.
Features
A primary feature of Q# is the ability to create and use qubits for algorithms. As a consequence, some of the most prominent features of Q# are the ability to entangle and introduce superpositioning to qubits via Controlled NOT gates and Hadamard gates, respectively, as well as Toffoli Gates, Pauli X, Y, Z Gate, and many more which are used for a variety of operations; see the list at the article on quantum logic gates.
The hardware stack that will eventually come together with Q# is expected to implement Qubits as topological qubits. The quantum simulator that is shipped with the Quantum Development Kit today is capable of processing up to 32 qubits on a user machine and up to 40 qubits on Azure.
Documentation and resources
Currently, the resources available for Q# are scarce, but the official documentation is published: Microsoft Developer Network: Q#. Microsoft Quantum Github repository is also a large collection of sample programs implementing a variety of Quantum algorithms and their tests.
Microsoft has also hosted a Quantum Coding contest on Codeforces, called Microsoft Q# Coding Contest - Codeforces, and also provided related material to help answer the questions in the blog posts, plus the detailed solutions in the tutorials.
Microsoft hosts a set of learning exercises to help learn Q# on GitHub: microsoft/QuantumKatas with links to resources, and answers to the problems.
Syntax
Q# is syntactically related to both C# and F# yet also has some significant differences.
|
https://en.wikipedia.org/wiki/Optical%20cluster%20state | Optical cluster states are a proposed tool to achieve quantum computational universality in linear optical quantum computing (LOQC). As direct entangling operations with photons often require nonlinear effects, probabilistic generation of entangled resource states has been proposed as an alternative path to the direct approach.
Creation of the cluster state
On a silicon photonic chip, one of the most common platforms for implementing LOQC, there are two typical choices for encoding quantum information, though many more options exist. Photons have useful degrees of freedom in the spatial modes of the possible photon paths or in the polarization of the photons themselves. The way in which a cluster state is generated varies with which encoding has been chosen for implementation.
Storing information in the spatial modes of the photon paths is often referred to as dual rail encoding. In a simple case, one might consider the situation where a photon has two possible paths, a horizontal path with creation operator and a vertical path with creation operator , where the logical zero and one states are then represented by
and
.
Single qubit operations are then performed by beam splitters, which allow manipulation of the relative superposition weights of the modes, and phase shifters, which allow manipulation of the relative phases of the two modes. This type of encoding lends itself to the Nielsen protocol for generating cluster states. In encoding with photon polarization, logical zero and one can be encoded via the horizontal and vertical states of a photon, e.g.
and
.
Given this encoding, single qubit operations can be performed using waveplates. This encoding can be used with the Browne-Rudolph protocol.
Nielsen protocol
In 2004, Nielsen proposed a protocol to create cluster states, borrowing techniques from the Knill-Laflamme-Milburn protocol (KLM protocol) to probabilistically create controlled-Z connections between qubits which, when performed on a pair of states (normalization being ignored), forms the basis for cluster states. While the KLM protocol requires error correction and a fairly large number of modes in order to get very high probability two-qubit gate, Nielsen's protocol only requires a success probability per gate of greater than one half. Given that the success probability for a connection using ancilla photons is , relaxation of the success probability from nearly one to anything over one half presents a major advantage in resources, as well as simply reducing the number of required elements in the photonic circuit.
To see how Nielsen brought about this improvement, consider the photons being generated for qubits as vertices on a two dimensional grid, and the controlled-Z operations being probabilistically added edges between nearest neighbors. Using results from percolation theory, it can be shown that as long as the probability of adding edges is above a certain threshold, there will exist a complete grid as a sub-gr |
https://en.wikipedia.org/wiki/Kate%20Smith-Miles | Kate Amanda Smith-Miles is an Australian applied mathematician, known for her research on neural networks and combinatorial optimization. She is a Melbourne Laureate Professor of applied mathematics at the University of Melbourne, and a former president of the Australian Mathematical Society.
Education and career
Smith-Miles earned a bachelor's degree in mathematics at the University of Melbourne. There, she did honours research on chaos theory under the mentorship of Colin J. Thompson, and initially planned to continue in graduate study in mathematics, but instead earned her Ph.D. in electrical engineering at Melbourne, working with Marimuthu Palaniswami and with Mohan Krishnamoorthy at CSIRO.
She worked as a professor of information technology in the School of Business Systems at Monash University from 1996 to 2006, as a professor of information technology and head of the school of engineering at Deakin University from 2006 to 2009, and as a professor of applied mathematics at Monash University from 2009 to 2017 and head of the school of mathematical sciences at Monash from 2009 to 2014. In 2017 she took her present position at Melbourne.
Recognition
Smith-Miles is a Fellow of the Institute of Engineers Australia (elected 2006), and of the Australian Mathematical Society (elected 2008). She is the 2010 winner of the Australian Mathematical Society Medal and the 2017 winner of the E. O. Tuck Medal of ANZIAM (Australia and New Zealand Industrial and Applied Mathematics).
In 2014 the Australian Research Council awarded the Georgina Sweet Australian Laureate Fellowship to her. She was elected a Fellow of the Australian Academy of Science in 2022.
References
External links
Year of birth missing (living people)
Living people
Australian women mathematicians
University of Melbourne alumni
Academic staff of Monash University
Academic staff of Deakin University
Academic staff of the University of Melbourne
Australian women academics
21st-century Australian mathematicians
Fellows of the Australian Academy of Science |
https://en.wikipedia.org/wiki/Stammstrecke%201%20%28Munich%20U-Bahn%29 | The Stammstrecke 1 of the Munich U-Bahn is the first, of a total of three realized main routes, in the subway network of the Bavarian capital Munich. It runs mainly in north–south direction and is currently used by the two subway lines, the U3 and U6. Also, since 15 December 2013, the additional amplifier line, the U8, runs on Saturdays on the section Olympiazentrum-Scheidplatz. Between the subway stations Münchner Freiheit and Implerstraße, the lines U3 and U6 run on the same route, before, or after which they branch off and the two lines are then run each on a separate route. The mainline 1 has a total length of 41 kilometers and passes 42 subway stations. It does not run exclusively in Munich urban areas, but for a distance of about eight kilometers in the northern area of Garching. A large part of the northern section of the U6 runs above ground, the remaining part completely in tunnels.
On 19 October 1971, the operation was recorded on the first main line with the U6 line. In the following years, twelve expansions or extensions were put into operation at irregular intervals. Most recently, the section between the subway stations Olympia-Einkaufszentrum and Moosach was opened in 2010. An extension from Großhadern to Martinsried is planned, but a construction start has not been set.
History
The U6 runs on the oldest Munich subway route. The Lindwurmtunnel (section between Sendlinger Tor, including Goetheplatz station) was built as early as 1938-41 as part of a north–south rapid-transit railway line, which is essentially today's course of the U6. For this reason, the Goetheplatz station is a few meters longer than the usual 120 meter platform length, since it was designed for other trains. The tunnel was integrated into the construction of the U6 route from 1 February 1965. Starting on 19 October 1971, the first trains drove between Kieferngarten and Goetheplatz.
The construction of the U3 line was drastically accelerated when Munich was awarded the contract for the 1972 Summer Olympics in the mid-1960s. In 1966, the line network plan adopted only a year earlier was revised and the U3 was defined as a feeder to the Olympic site, since the originally planned route over the main station could not be realized in the short time. In addition, the direct connection to the technical base located in Fröttmaning was considered necessary for the operation. The stations, which were not already put into operation in the course of the opening of the U6 (Bonner place to Olympia center), were opened on 8 May 1972.
On 22 November 1975, the stops Implerstraße and Harras were opened. Already at that time the Implerstrasse station was built as a junction station, although the southern branch of the U3 only came into operation 14 years later. The U3 ended at Harras, where there was now a second transfer possibility to the S-Bahn. The Poccistraße station, between Goetheplatz and Implerstraße, was built later on and opened on 28 May 1978. The section through Pa |
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