source stringlengths 32 199 | text stringlengths 26 3k |
|---|---|
https://en.wikipedia.org/wiki/Trotsky%20Marudu | Trotsky Marudu is an Indian contemporary artist known for line drawing, animation, storyboard and computer graphics. Marudu has also worked as Art director and VFX creative director for many films and is a pioneer in using computer for painting. He holds a diploma and a post-diploma in painting from the Madras College of Arts and Crafts and his collection of paintings have been exhibited in many countries like Australia, the UK, the US, France, Finland and many parts of India.
Marudu's paintings is a blend of traditional and modern art, mostly figurative and later creeped into semi abstract figurative works. He also shifted his focus slowly into illustration, animation, digital art, photography and his passion towards comic books merged all arts into a single body. He opined that, "The gap between modern painting, illustrations and photography has been bridged, with the computer serving as an all-encompassing platform. Future artists will work like this as multimedia has become a language by itself,".
Marudu has also published many books, and 'Kaalathin Thiraicheelai', a collective collection of Tamil intellectuals view on Marudu-the person, was also published as a book.
Life and career
Early life
Marudu born in Madurai was attracted to drawing because of his father MR.Maruthappan, a Trotskyite, who encouraged him by introducing books with illustration. He was also influenced by the hand-drawn portraits of Rabindranath Tagore and Netaji Subash Chandra Bose by M. R. Acharekar, that decorated his house. He began to read and observe finer details of his surroundings by roaming the streets of Madurai and read about Salvador Dalí and Pablo Picasso when he was in seventh standard. Marudu's drawing masters Augustine and Jeyaraj nurtured him to win many prizes in competitions.
Career
Marudu's stint at Madras College of Arts and Crafts helped him to meet sculptor Dhanapal, who later became his mentor. He said, "The exposure at college pushed me to another level of understanding and helped in constantly exploring new possibilities". He was the textile designer at the Weavers Service Centre in Chennai and Vijayawada along with K. M. Adimoolam and other senior artistes. Marudu and Adimoolam took initiative in introducing contemporary art that broke all the conservative techniques in many popular magazines of that era. He was also attracted to movies because of his mother, Rukmini Maruthappan as her uncle MS.Solaimalai was a story and dialogue writer who influenced him along with actor S. S. Rajendran. Marudu was particularly attracted by Walt Disney, stop motion animation, trick shots and special effects in movies that prompted him to join as special effects as well as computer graphics coordinator for more than 30 films so far in both Tamil and Telugu languages.
Awards
Marudu won the Government of Tamil Nadu 'Best Artist' award in 1978 and the Kalaimamani award in 2007.
Books
Kodukalum Varthaikalum
Kodukalum Varthaikalum is a collection of articl |
https://en.wikipedia.org/wiki/Elias%20Neocleous | Elias Neocleous & Co. LLC is the largest law firm in Cyprus. The firm has more than 140 fee-earners operating out of three offices in Cyprus and an international network of offices in the main destinations for investment via Cyprus.
The firm Elias Neocleous & Co LLC replaced the earlier firm Andreas Neocleous & Co. That firm developed business links with Russia and Eastern Europe. The firm's Limassol office houses the Honorary Consulate of Portugal in Cyprus. Elias Neocleous & Co. LLC was ranked as the leading firm in Cyprus by Legal 500.
References
External links
Law firms established in 2017
Intellectual property law firms
Companies based in Limassol
Law firms of Cyprus |
https://en.wikipedia.org/wiki/Spectral%20%28disambiguation%29 | Spectral is a 2016 military science fiction film.
Spectral may also refer to:
Spectral (Dave Rempis album)
Spectral (Skyfire album)
Spectral (Robin Schlochtermeier album)
Spectral (computer), an East-German clone of the ZX Spectrum
Spectral (app) IM client for the Matrix protocol
Spectral theory, a family of mathematical theories extending the eigenvector and eigenvalue theory of a single square matrix to more generic operators
Spectral method, a class of techniques to numerically solve certain differential equations, potentially involving the use of the Fast Fourier Transform
Spectral analysis (disambiguation)
See also
Spectrum (disambiguation) |
https://en.wikipedia.org/wiki/Data%20laundering | Data laundering is the conversion of stolen data so that it may be sold or used by ostensibly legitimate databases. ZDNet has described the process as "obscuring, removing, or fabricating the provenance of illegally obtained data such that it may be used for lawful purposes".
References
Data |
https://en.wikipedia.org/wiki/1999%20NCAA%20Division%20I-AA%20football%20rankings | The 1999 NCAA Division I-AA football rankings are from the Sports Network poll of Division I-AA head coaches, athletic directors, sports information directors and media members. This is for the 1999 season.
Legend
The Sports Network poll
References
Rankings
NCAA Division I FCS football rankings |
https://en.wikipedia.org/wiki/ZipIt | ZipIt is a shareware data compression utility for archiving and compressing files on the Classic Mac OS and Mac OS X platforms. It was designed to be highly compatible with PKZIP on MS-DOS machines, reading and writing those files as well as performing any necessary line ending conversion or MacBinary encoding to ensure the files were usable on both platforms. It had an advanced user interface and offered a number of automation features, including AppleScript support. First released in 1993, the latest version of ZipIt is version 2.2.2, released in late 2002.
History
A unique feature of the original Mac file system was its use of forks, essentially two separate files that the Finder maintained the illusion of being a single file. Files that were copied to other storage media automatically copied both forks. Operating systems that did not support this feature risked the problem of transmitting only one of the two forks, producing an unusable file. This led to a number of archive formats that combined the two forks along with any extended metadata into a single file suitable for hosting on other platforms.
The original PKZIP archive format did include a number of features intended to help support other file systems like the Mac, including things like longer filenames and some basic metadata. However, it did not support forks, and therefore was not directly capable of supporting Mac files in ZIP archives. This did not present a major problem in many use-cases, as the Mac had archive utilities that did support these features, like StuffIt and Compact Pro.
By the early 1990s, the ZIP format was becoming almost universal and a number of systems required it for data exchange. Notable among these were FidoNet mailers and offline mail readers like the QWK format. For those times when Mac users had to exchange simple files, like a text file, with a PC user, utilities like UnZip and MacZip worked with single files. These did not include a Mac-like interface and were suitable for only the most basic tasks.
ZipIt was introduced to address this problem by explicitly modeling the program's user interface after Compact Pro, which was lauded as one of the easiest to use archivers available. ZipIt essentially replaced Compact Pro's own internal compression system with PKZIPs, producing a program that looked similar but read and wrote ZIP files instead of CPT. ZipIt also included a number of automation features, notably support for AppleScript, which allowed it to be used with programs like Freddie, a QWK reader. A setting in ZTerm allowed downloaded ZIP files to automatically be associated with ZipIt, making download-and-open a simple task.
The initial stable version, 1.1.1, was released in March 1993. It allowed multiple archives to be opened or created, each one in a separate window. That version did not support hierarchical directories, instead, it encoded all of the files into a single-level archive. This had the downside that it would only allow one fil |
https://en.wikipedia.org/wiki/WAGS%20Atlanta | WAGS Atlanta is an American reality television show that premiered on the E! cable network on January 3, 2018, as a spin-off of WAGS. The reality show chronicled the lives of several WAGs (an acronym for "wives and girlfriends" of high-profile athletes) in Atlanta, Georgia. The show was canceled in January 2019.
Production
The series was announced by E! on May 4, 2017. The series is the second spin-off of WAGS. The show is set in Atlanta and will document the personal and professional lives of a group of WAGs. WAGS Atlanta premiered on January 3, 2018.
Cast
Brandi Rhodes, wife of Cody Rhodes
Hope Wiseman
Kaylin Jurrjens, wife of Jair Jurrjens
Kesha Norman, girlfriend of C. J. Mosley
Kierra Douglas, wife of Harry Douglas
Niche Caldwell, wife of Andre Caldwell
Sincerely Ward, cousin of Derrick Ward
Shuntel "Telli" Swift, fiance of Deontay Wilder
Episodes
See also
WAGS (TV series)
WAGs Boutique
WAGS Miami
WAG Nation
References
2010s American reality television series
2018 American television series debuts
2018 American television series endings
American television spin-offs
English-language television shows
Television shows set in Atlanta
E! original programming
Women in Atlanta |
https://en.wikipedia.org/wiki/2000%20NCAA%20Division%20I-AA%20football%20rankings | The 2000 NCAA Division I-AA football rankings are from the Sports Network poll of Division I-AA head coaches, athletic directors, sports information directors and media members. This is for the 2000 season.
Legend
The Sports Network poll
References
Rankings
NCAA Division I FCS football rankings |
https://en.wikipedia.org/wiki/Indicator%20analysis | Indicator analysis is a structured analytic technique used in intelligence analysis. It uses historical data to expose trends and identify upcoming major shifts in a subject area, helping the analyst provide evidence-based forecasts with reduced cognitive bias.
History
Structured analytic techniques such as indicator analysis have been used by analysts the United States Intelligence Community (IC) for several decades, but usually only in the context of specialized subject areas. Since the World Trade Tower attacks on September 11, 2001, these techniques become more commonly used among analysts on more mainstream assignments as well, and throughout the IC. The National Commission on Terrorist Acts Upon the United States, or the 9/11 Commission that followed that event found that the IC had "a failure to challenge analytic mindsets, examine key assumptions, consider alternative hypotheses, and detect deceptive reporting," on the part of the IC, leading directly to the 9/11 attacks. In response, President George W. Bush restructured the IC from the outside with the Intelligence Reform and Terrorism Prevention Act (IRTPA), while internally agencies began reforming their methodology, using more specialized structured analytic techniques like indicator analysis to more reliably correct cognitive bias in the future.
Elements of indicator analysis
Structured analytic techniques
Indicator analysis is a structured analytic technique. Structured analytic techniques are used by intelligence analysts to help remove cognitive bias, challenge intuitive judgements, and help create a clearly traceable argument to support analytic conclusions.
Requirement
The main question under scrutiny. The requirement is often determined by the needs of a particular decision-maker, and defines the scope of the problem.
Categories
These are the various aspects of the requirement that merit individual scrutiny in order to understand the entirely of a problem. For instance, if the requirement is to ascertain the stability of a particular country, an analyst would need to look at the categories of politics, economics, social considerations, and possibly several others to gain a clear understanding of the situation in that country.
Factors
Factors are sub-sets of a category. For instance, to understand the political situation in a country, an analyst would need to look at the presence of political unrest, levels of corruption, the national government's relationship with the military, and possibly several others.
Scenarios
A scenario is a customized estimate of possible specific outcomes that could result from a category improving or destabilizing. Usually these scenarios are based on the current events of the factors involved in that category.
Indicators
Indicators indicates the change of sign when the reaction is complete. Indicators can be single events or actions within a factor that signify a major shift, affecting conditions in the rest of the categories or oth |
https://en.wikipedia.org/wiki/Oregon%20State%20Wireless%20Active%20Learning%20Device | The Oregon State Wireless Active Learning Device (OSWALD) is an open source learning platform developed by students of the Oregon State University to allow undergraduate students of computer science to obtain first experiences through direct technical contribution.
The device is capable of common tasks such as browsing through the internet, instant messaging and playback of multimedia content. It can also support Java and USB.
Software
Operating system
The kernel of the system is linux based. Any software needs to be built by the students themselves through a compilation of BitBake recipes which are managed by OpenEmbedded. The installation requires a correctly formatted SD card containing the bootable build.
Java
OSWALD is capable of running Java code. Java files can be compiled on the device or delivered as compiled .class files. A network access can be established through standard Sockets and ServerSockets, since the wireless interface supports IP.
Hardware
The systems main processor is the Texas Instruments OMAP3530 running with 500 MHz. The graphics processor is the SGX530 for 2D and 3D graphics. Physical space is limited by 128 Mbyte DDR-SDRAM with a clock speed of 266 MHz. There is also a 256 Mbyte NAND flash memory. The display is a resistive touchscreen having a DVI out with a resolution of 1024x768 (HD). Speakers are the Texas Instruments TLV320AIC33 stereo.
The touch screen, buttons and a built in accelerometer are handled via microcontrollers that contain software. The Cypress CY8C24794 handles the controls of the touchpad and button inputs. The Atmel ATMega48 monitors the accelerometer. A Texas Instruments cc2431 is used as a wireless interface (802.15.4 wireless supported).
References
Oregon State University
Linux-based devices |
https://en.wikipedia.org/wiki/Machine%20learning%20in%20bioinformatics | Machine learning in bioinformatics is the application of machine learning algorithms to bioinformatics, including genomics, proteomics, microarrays, systems biology, evolution, and text mining.
Prior to the emergence of machine learning, bioinformatics algorithms had to be programmed by hand; for problems such as protein structure prediction, this proved difficult. Machine learning techniques, such as deep learning can learn features of data sets, instead of requiring the programmer to define them individually. The algorithm can further learn how to combine low-level features into more abstract features, and so on. This multi-layered approach allows such systems to make sophisticated predictions when appropriately trained. These methods contrast with other computational biology approaches which, while exploiting existing datasets, do not allow the data to be interpreted and analyzed in unanticipated ways. In recent years, the size and number of available biological datasets have skyrocketed.
Tasks
Machine learning algorithms in bioinformatics can be used for prediction, classification, and feature selection. Methods to achieve this task are varied and span many disciplines; most well known among them are machine learning and statistics. Classification and prediction tasks aim at building models that describe and distinguish classes or concepts for future prediction. The differences between them are the following:
Classification/recognition outputs a categorical class, while prediction outputs a numerical valued feature.
The type of algorithm, or process used to build the predictive models from data using analogies, rules, neural networks, probabilities, and/or statistics.
Due to the exponential growth of information technologies and applicable models, including artificial intelligence and data mining, in addition to the access ever-more comprehensive data sets, new and better information analysis techniques have been created, based on their ability to learn. Such models allow reach beyond description and provide insights in the form of testable models.
Machine learning approaches
Artificial neural networks
Artificial neural networks in bioinformatics have been used for:
Comparing and aligning RNA, protein, and DNA sequences.
Identification of promoters and finding genes from sequences related to DNA.
Interpreting the expression-gene and micro-array data.
Identifying the network (regulatory) of genes.
Learning evolutionary relationships by constructing phylogenetic trees.
Classifying and predicting protein structure.
Molecular design and docking.
Feature engineering
The way that features, often vectors in a many-dimensional space, are extracted from the domain data is an important component of learning systems. In genomics, a typical representation of a sequence is a vector of k-mers frequencies, which is a vector of dimension whose entries count the appearance of each subsequence of length in a given sequence. Since for a val |
https://en.wikipedia.org/wiki/AnyDesk | AnyDesk is a remote desktop application distributed by AnyDesk Software GmbH. The proprietary software program provides platform independent remote access to personal computers and other devices running the host application. It offers remote control, file transfer, and VPN functionality. AnyDesk is often used in technical support scams and other remote access scams.
Company
AnyDesk Software GmbH was founded in 2014 in Stuttgart, Germany and now has subsidiaries in the US, China, and Hong Kong, as well as an Innovation Hub in Georgia.
In May 2018, AnyDesk secured 6.5 million Euros of funding in a Series A round led by EQT Ventures. Another round of investment in January 2020 brought AnyDesk to over twenty million dollars of combined funding.
Software
AnyDesk uses a proprietary video codec "DeskRT" that is designed to allow users to experience higher-quality video and sound transmission while reducing the transmitted amount of data to the minimum.
AnyDesk partnered with remote monitoring and management and mobile device management services, such as Atera and Microsoft Intune.
Features
Availability of features is dependent upon the license of the individual user. Some main features include:
Remote access for multiple operating systems (Windows, Linux, macOS, iOS, Android, etc.)
File transfer and manager
Remote Print
VPN
Unattended access
Whiteboard
Auto-Discovery (automatic analysis of local network)
Chat-Function
REST-API
Custom-Clients
Session protocol
Two-Factor-Authentication
Individual host-server
Security
AnyDesk uses TLS-1.2 with authenticated encryption. Every connection between AnyDesk-Clients is secured with AES-256. When a direct network connection can be established, the session is endpoint encrypted and its data is not routed through AnyDesk servers. Additionally, whitelisting of incoming connections is possible.
Abuses
AnyDesk is one of many tools used in technical support scams and other remote access scams. It can be optionally installed on computers and smartphones with full administrative permissions, if the user chooses to do so. This provides the host user with full access to the guest computer over the Internet, and, like all remote desktop applications, is a severe security risk if connected to an untrusted host.
Mobile access fraud
In February 2019, Reserve Bank of India warned of an emerging digital banking fraud, explicitly mentioning AnyDesk as the attack channel. The general scam procedure is as follows: fraudsters get victims to download AnyDesk from the Google Play Store on their mobile phone, usually by mimicking the customer service of legitimate companies. Then, the scammers convince the victim to provide the nine-digit access code and to grant certain permissions. After permissions are obtained and if no other security measures are in place, the scammers usually transfer money using the Indian Unified Payment Interface. A similar scam took place in 2020, according to Kashmir Cyber police. |
https://en.wikipedia.org/wiki/Peter%20Shirley | Peter Shirley (born June 11, 1963) is an American computer scientist and computer graphics researcher. He is a Distinguished Scientist at NVIDIA and adjunct professor at the University of Utah in computer science. He has made extensive contributions to interactive photorealistic rendering. His textbook, Fundamentals of Computer Graphics, is considered one of the leading introductory texts on computer graphics and is currently in the fourth edition.
Biography
Shirley was born on June 11, 1963, in Evanston, Illinois. He attended the Dr. Martin Luther King, Jr., Lab School (now the Dr. Martin Luther King Jr. Literary and Fine Arts School), Nichols Middle School, and Evanston Township High School. After one semester at the University of Illinois at Urbana-Champaign, he transferred to Reed College in Portland, Oregon, where received his BA in physics in 1985, and then received his PhD in computer science from the University of Illinois, Urbana-Champaign in 1991. He then joined the faculty at Indiana University as an assistant professor. From 1994 to 1996 he was a visiting professor at Cornell University. He then joined the faculty at the University of Utah, where he taught until 2008 when he joined NVIDIA as a research scientist.
Books
P. Shirley, Ray Tracing in One Weekend. 2016. Amazon Kindle books.
S. Marschner and P. Shirley, Fundamentals of Computer Graphics, 4th Ed. 2015. Taylor & Francis.
P. Shirley and S. Marschner, Fundamentals of Computer Graphics, 3rd Ed. 2009. AK Peters.
K. Sung, P. Shirley, S. Baer. Essentials of Interactive Computer Graphics, 2008. AK Peters
P. Shirley, Fundamentals of Computer Graphics, 2nd Ed. 2005. AK Peters.
P. Shirley, R. Morley, Realistic Ray Tracing, 2nd Ed. 2003. AK Peters.
P. Shirley, Fundamentals of Computer Graphics. 2002. AK Peters.
P. Shirley, Realistic Ray Tracing. 2000. AK Peters.
References
Living people
American computer scientists
Computer graphics researchers
Reed College alumni
Grainger College of Engineering alumni
Indiana University faculty
Cornell University faculty
University of Utah faculty
Nvidia people
Scientists from Chicago
1963 births
Engineers from Illinois |
https://en.wikipedia.org/wiki/C%2B%2B20 | C++20 is a version of the ISO/IEC 14882 standard for the C++ programming language. C++20 replaced the prior version of the C++ standard, called C++17. The standard was technically finalized by WG21 at the meeting in Prague in February 2020, had its final draft version announced in March 2020, was approved on 4 September 2020, and published in December 2020.
Features
C++20 adds more new major features than C++14 or C++17. Changes that have been accepted into C++20 include:
Language
concepts, with terse syntax
modules
designated initializers (based on the C99 feature, and common g++ extension)
[=, this] as a lambda capture
template parameter lists on lambdas
three-way comparison using the "spaceship operator", operator <=>
initialization of an additional variable within a range-based for statement
lambdas in unevaluated contexts
default constructible and assignable stateless lambdas
allow pack expansions in lambda init-capture
class types in non-type template parameters, also allowing string literals as template parameters
removing the need for typename in certain circumstances
new standard attributes [[no_unique_address]], [[likely]] and [[unlikely]]
conditional explicit, allowing the explicit modifier to be contingent on a boolean expression
expanded constexpr: virtual functions, union, try and catch, dynamic_cast and typeid, std::pointer_traits
immediate functions using the new consteval keyword
signed integers are now defined to be represented using two's complement (signed integer overflow remains undefined behavior)
a revised memory model
various improvements to structured bindings (interaction with lambda captures, static and thread_local storage duration)
coroutines
using on scoped enums
constinit keyword
Library
ranges (The One Ranges Proposal)
std::make_shared and std::allocate_shared for arrays
atomic smart pointers (such as std::atomic<shared_ptr<T>> and std::atomic<weak_ptr<T>>)
std::to_address to convert a pointer to a raw pointer
calendar and time-zone additions to <chrono>
std::span, providing a view to a contiguous array (analogous to std::string_view but span can mutate the referenced sequence)
std::erase and std::erase_if, simplifying element erasure for most standard containers
<version> header
std::bit_cast<> for type casting of object representations, with less verbosity than memcpy() and more ability to exploit compiler internals
feature test macros
various constexpr library bits
smart pointer creation with default initialization
contains-method for associative containers
bit operations, such as leading/trailing zero/one count, and log2 operations
std::bind_front
New and changed keywords
Many new keywords added (and the new "spaceship operator", operator <=>), such as concept, constinit, consteval, co_await, co_return, co_yield, requires (plus changed meaning for export), and char8_t (for UTF-8 support). And explicit can take an expression since C++20. Most of the uses of the v |
https://en.wikipedia.org/wiki/Channelizer | In digital signal processing, a channelizer is a term used for algorithms which select a certain frequency band from an input signal. The input signal typically has a higher sample rate than the sample rate of the selected channel. It is also used for algorithms that can select multiple channels from an input signal in an efficient way.
One of the most common methods for selecting a channel from an input signal is to first shift the frequency by multiplying it with a complex sinusoid, then passing the signal through a low pass filter. Alternatively, a decimator (rate changer) can be used. One common type of channelizer is the polyphase channelizer.
Decimation is the process of reducing sample rate. Decimation originally meant "take one sample in every 10", but later this term was generalized to simply mean any reduction in sample rate.
Digital signal processing |
https://en.wikipedia.org/wiki/Nightscout | Nightscout is a free and open-source project, and associated social movement, that enables accessing and working with continuous glucose monitor (CGM) data.
Nightscout software aims to give users access to their real time blood sugar data by putting this data in the cloud. In addition to browser-based data visualization, Nightscout can also be used to review data from a phone or smartwatch, or to remotely monitor CGM data for individuals with type 1 diabetes. Associated with Nightscout software is a broader "CGM in the Cloud" social movement, supporting individuals seeking to access and use realtime CGM data through commercial and DIY ("do it yourself") approaches.
History
The Nightscout Project traces its origin to February 2013, when the parents of a 4-year-old boy newly diagnosed with type 1 diabetes began using a continuous glucose monitoring system.
This data was inaccessible to the parents when the child was at school – there was no commercially available way to access the data in real time. The boy's father, John Costik, a software engineer, developed software to access and transfer CGM data to cloud computing infrastructure. Costik shared his accomplishment on Twitter and, after others expressed interest, privately shared the source code.
Costik's uploader was expanded by Lane Desborough and Ross Naylor, to develop "Nightscout": adding a blood glucose chart display that could be viewed throughout a home. Further development to make the software accessible to the general public occurred within a private community of developers, including Ben West, Ross Naylor, Kevin Lee, Jason Calabrese, Jason Adams, and Toby Canning. Because this software was, in effect, an unlicensed medical device, the community delayed releasing the code as open source to explore and address legal concerns. Once this was done, the combined code was released in 2014 as the Nightscout Project.
A website, Facebook group, and Gitter channel were also created to support new users. The primary Facebook group for the movement is "CGM in the Cloud", broadly supporting individuals seeking to use realtime CGM data, via commercial and/or DIY methods. As of May 2017, this group has over 23,000 members. In addition, the related 501(c)(3) organization Nightscout Foundation was formed in 2014 to encourage and support open source technology projects for individuals with type 1 diabetes.
The #WeAreNotWaiting hashtag used by the group was initially coined by Lane Desborough and Howard Look, in reference to a growing call for a "diabetes data exchange" hosted by Tidepool and DiabetesMine in November 2013.
A survey of the Nightscout community indicated that the software was most highly used by parents of young children with type 1 diabetes (less than 12 years of age), but is also used by adolescents and adults.
Regulatory concerns
Because Nightscout software displays information relevant to medical care, there are safety concerns regarding reliability, liability, and regulatio |
https://en.wikipedia.org/wiki/FlexE | FlexE, short for Flexible Ethernet, is a communications protocol published by the Optical Internetworking Forum (OIF).
Overview
The OIF published the FlexE Interoperability Agreement (IA) in 2016. FlexE enables equipment to support new Ethernet connection types. FlexE allows data center providers to utilize optical transport network bandwidth in more flexible ways.
Top level features
FlexE supports the bonding of multiple links, which supports creating larger links out of multiple slower links in a more efficient way than the traditional link aggregation. FlexE also supports the sub-rating of links, which allows an operator to only use a portion of a link. FlexE also supports the channelization of links, which allows one link to carry several lower-speed or sub-rated links from different sources.
Basic properties of FlexE
Mechanism reuse
FlexE reuses many mechanisms from Ethernet. Much of the FlexE's functionality is achieved by adding a time-division multiplexing calendar that interacts with the existing Ethernet 64b66b mechanism, allowing bandwidth to be allocated with 5 Gbit/s granularity. The calendar is communicated along with the data.
Standards-defined physical lanes
FlexE is defined to make use of standards-defined physical lanes, namely the various forms of 25 Gbit/s Ethernet lanes.
Efficient link aggregation
FlexE can utilize the entire aggregated link, creating an alternative to traditional Link Aggregation (LAG) solutions, which use 70–80% of a link. FlexE has deterministic performance, whereas IEEE 802.3ad-based or the later 802.1-based LAG does not.
Low added latency
FlexE has low added latency as compared to regular Ethernet. The multiplexing is accomplished using time-division multiplexing instead of packet buffers. This type of multiplexing delivers deterministic latency that is near the minimum needed to deliver the bandwidth
Optical Transport Network properties of FlexE
Compatible with transport
FlexE is backwards compatible with the existing optical transport network (OTN) infrastructure. A FlexE compatible interface can be connected to a piece of transport gear that is not aware of FlexE. When using it in this manner, FlexE traffic appears to the transport gear as if it was ordinary Ethernet traffic.
Main transport features
FlexE has a set of features to support its use in transport networks. An example of this is that FlexE supports two copies of the calendar, which can be switched between. Another example is a link overhead messaging channel.
Optional transport features
The optional use of FlexE-aware OTN equipment provides additional functionality such as matching client and line rates. A scenario where this can be of use is when the transport equipment equipped with coherent links delivers a flexible amount of bandwidth to a channel based on reach differences or other factors. This bandwidth can be used more precisely by having the FlexE-aware MAC produce the right amount of traffic at the sourc |
https://en.wikipedia.org/wiki/Southern%20Fried%20Road%20Trip | Southern Fried Road Trip is a television show appearing on the Food Network. It features Bobby Deen and Jamie Deen, the sons of Paula Deen, touring the southern portion of the United States and sampling food. Episodes also featured the customers eating at each establishment the duo visited, as they highlighted various dishes available at restaurants in the region and their impressions of each dish.
References
2015 American television series debuts
Food Network original programming
2010s American reality television series |
https://en.wikipedia.org/wiki/2001%20NCAA%20Division%20I-AA%20football%20rankings | The 2001 NCAA Division I-AA football rankings are from the Sports Network poll of Division I-AA head coaches, athletic directors, sports information directors and media members. This is for the 2001 season. Due to the events of September 11, 2001, all college football games were suspended during the following weekend. As a result, the poll released on September 18 was a repeat of the one released a week earlier.
Legend
The Sports Network poll
References
Rankings
NCAA Division I FCS football rankings |
https://en.wikipedia.org/wiki/Cyberpunk%20%28short%20story%29 | "Cyberpunk" is a 1983 science fiction short story by Bruce Bethke, published in Amazing Stories. Bethke subsequently expanded the story into a novel and made it available online in 2001. The story is most famous for coining the term "cyberpunk", which came to be used to describe the science fiction subgenre featuring rebellious use of technology.
History
In the spring of 1980, Bethke was writing a story about children who lived immersed in a truly technological society, with their own culture, disparate from mainstream society as it appeared at that time. He describes the process as:
The story was printed three years later in the science fiction magazine Amazing Stories. After William Gibson's novel Neuromancer was released a year later, the term "cyberpunk" came into widespread use as the name of the science fiction subgenre.
Plot summary
Through heavy use of the literary technique of indirect exposition, the reader learns that the character Mikey is a proficient and troublemaking computer virtuoso, essentially a hacker, though this term is not used in the story. He hangs out with friends who cause trouble online, encounters interference from his parents, and uses his skills to circumvent their will.
Novel
Cyberpunk was originally written as a series of short stories in the 1980s. Bethke says "After I sold the original story in '82, I continued to work on the story cycle, publishing bits and pieces here and there throughout the 1980s. In '89 I pulled the major chunks together into the rough form of a novel, and to my surprise and delight I sold it, to a publisher who later regained his sanity and decided not to release it". This novel was purchased by a publisher via an exclusive contract that forbade Bethke to sell the novel to another publisher. However, the publisher decided not to release the novel, causing several years of legal battles over the rights to the book. Bethke has a downloadable version of the novel available for five dollars (as shareware) on Scribd.
When asked, during a 2005 interview, by Lynne Jamneck in Strange Horizons, for the reason his publisher purchased the book but never printed it, Bethke replied that it was because he had refused to change the ending:
Bethke said that he refused because this end scene would have taken place in a school. He concluded that the book might indeed have sold better that way, but "sales aren't everything".
References
External links
Bruce Bethke : The Etymology of "Cyberpunk"
1983 short stories
Works originally published in Amazing Stories
Cyberpunk novels |
https://en.wikipedia.org/wiki/Comparison%20of%20single-board%20microcontrollers | Comparison of Single-board microcontrollers excluding Single-board computers
See also
Comparison of single-board computers
References
Further reading
External links
Arduino
Computing comparisons
Microcontrollers |
https://en.wikipedia.org/wiki/Playpen%20%28website%29 | Playpen was a notorious darknet child pornography website that operated from August 2014 to March 2015. The website operated through the Tor network which allowed users to use the website anonymously. After running the website for 6 months, the website owner Steven W. Chase was captured by the FBI. After his capture, the FBI continued to run the website for another 13 days as part of Operation Pacifier.
When it was shut down in March 2015, the site had over 215,000 users and hosted 23,000 sexually explicit images and videos of children as young as toddlers.
Website shutdown
The shutdown operation, called Operation Pacifier, involved the FBI hijacking the site and continuing to serve content for two weeks (from February 19, 2015 until March 4, 2015). During this time the FBI used a malware-based "Network Investigative Technique" to hack into the web browsers of users accessing the site, thereby revealing their identities. The operation led to the arrest of 956 site users and five prison sentences.
While the FBI claimed to have knowledge about the existence of the website right from its beginning, it was unable to track down the servers locations or the site owner. This was because the website was hosted anonymously through Tor. Only a mishap of the site owner revealing his IP address finally allowed the law enforcement to track down both page and personnel.
Convictions
The investigation led to the sentencing of Steven W. Chase, a 58-year-old from Florida who created the website, to 30 years in prison in May 2017. His two co-defendants pleaded guilty and were sentenced to 20 years each earlier in 2017 for their involvement in Playpen.
In 2017, the FBI dropped charges against one defendant after the court for that case requested details on the NIT malware. The FBI preferred to keep the NIT malware a secret for future investigations.
Shutdown criticisms
The investigation was criticized by the Electronic Frontier Foundation because of the generality of the warrant, and because after having taken control of the website, the FBI continued for nearly two weeks to operate the website and thus distribute child pornography, i.e. exactly the same crime the bureau sought to stop. The lawyer of a defendant in the case stated that the FBI not only operated the website, but improved it so its number of visitors rose sharply while it was under their control.
Challenges were raised about the FBI's possibly severe misuse of the initial search warrant, leading to the likely dismissal of much of the gathered evidence against one defendant . The warrant stated it was to be used to gather information on people in the Eastern District of Virginia only, but because the NIT malware indiscriminately infected people using the site, it was in fact used to gather information from many other areas. Before the change to Rule 41 in 2016 to allow it, this was illegal. On August 28, 2019, the Eleventh Circuit Court of Appeals ruled that the warrant was invalid but that |
https://en.wikipedia.org/wiki/Weather%20Research%20and%20Forecasting%20Innovation%20Act%20of%202017 | The Weather Research and Forecasting Innovation Act of 2017 (, H.R. 353) is a law providing for weather research and forecasting improvement, weather satellite and data innovation, and federal weather coordination.
The bill was introduced into the United States House of Representatives during the 115th United States Congress. It was signed into law by President Donald Trump on April 18, 2017.
Provisions of the bill
Title I - United States Weather Research and Forecasting Improvement
Sec. 101 - The National Oceanic and Atmospheric Administration (NOAA) must prioritize weather research to improve weather data, modeling, computing, and forecasting, and warnings to protect life and property.
Sec. 102 - NOAA's Office of Oceanic and Atmospheric Research (OAR) must conduct a program to improve understanding of forecasting capabilities and impacts of atmospheric events. In carrying out the program, the OAR must provide competitive grants, contracts, and agreements to support the nonfederal weather research community.
Sec. 103 - The NOAA must establish a tornado warning improvement and extension program and develop better forecasts, predictions, and warnings.
Sec. 104 - Through the National Weather Service (NWS), the NOAA must maintain a project to improve hurricane forecasting. The program must advance the prediction of rapid intensification and track of hurricanes, the forecast and communication of storm surges from hurricanes, and risk communication research to create more effective watch and warning products.
Sec. 105 - The OAR must issue a research/development operations plan to restore and maintain U.S. leadership in numerical weather prediction and forecasting.
Sec. 106 - The NOAA must prioritize observation data requirements key to ensuring weather forecasting capabilities, evaluating data and information to meet those requirements, identify data gaps, and determine options to address those gaps.
Sec. 107 - The OAR must launch the Observing System Simulation Experiments (OSSE). OSSEs must be conducted before acquisition of any government-owned or government-leased observing systems costing more than $500 million and before buying any new commercially provided data costing over $500 million.
Sec. 108 - The NOAA must provide an annual report on computing priorities and upgrades that relate to weather prediction.
Sec. 109 - The U.S. Weather Research Program must report annually to Congress about on-going research projects related to observations, weather, or subseasonal forecasts closest to operationalization, establish teams with staff from the OAR and the NWS to oversee the research projects, develop mechanisms for research priorities, develop a system to track research goals, provide testing facilities, and facilitate visiting scholars.
Sec. 110 - OAR's weather laboratories, cooperative institutes, and weather and air chemistry research programs and joint technology transfer initiative are authorized through Fiscal Year 2018.
Title I |
https://en.wikipedia.org/wiki/Xabber | Xabber (from XMPP and Jabber) is a XMPP client for the Android Operating System. It is developed as an open source Project on GitHub and is licensed under the GNU GPL v.3 license. The original developers are from a software company called Redsolution, Inc. Xabber is available on the Android Play Store and on F-Droid.
Xabber supports Off-the-Record Messaging to provide encrypted communication. Until 30 January 2013 was closed source, but was then published on GitHub as a decision by the development team.
Functionality
Because Xabber implements XMPP Protocols, it is compatible with any XMPP Server. Xabber offers no server infrastructure of its own, but it has a few popular services pre-configured. The developers confirmed compatibility with Ejabberd, Prosody and Openfire. The application has integration with the systemwide Android Contacts.
Xabber uses Off the Record Messaging in combination TLS to provide strong Security (Perfect Forward Secrecy). Since 30 September 2013 Xabber uses Orbot as an additional Layer of Protection. Orbot is used to access the Tor Network to obfuscate the connections between sender and recipient. When used in conjunction with a privately owned XMPP Server the system is less insecure.
Extensions
Xabber supports the following XMPP protocol Extensions:
RFC-3920: Core
RFC-3921: Instant Messaging and Presence
XEP-0030: Service Discovery
XEP-0054: vcard-temp
XEP-0078: Non-SASL Authentication
XEP-0085: Chat State Notifications
XEP-0091: Legacy Delayed Delivery
XEP-0115: Entity Capabilities
XEP-0128: Service Discovery Extensions
XEP-0138: Stream Compression
XEP-0147: XMPP URI Scheme Query Components
XEP-0153: vCard-Based Avatars
XEP-0184: Message Delivery Receipts
XEP-0199: XMPP Ping
XEP-0203: Delayed Delivery
XEP (XMPP Extension Protocols) are standardized extensions for XMPP. The full details on the extensions can be found at xmpp.org/extensions.
See also
Comparison of instant messaging clients
References
External links
Android (operating system) software
Free and open-source Android software
Free XMPP clients |
https://en.wikipedia.org/wiki/Structured%20kNN | Structured k-Nearest Neighbours is a machine learning algorithm that generalizes the k-Nearest Neighbors (kNN) classifier.
Whereas the kNN classifier supports binary classification, multiclass classification and regression, the Structured kNN (SkNN) allows training of a classifier for general structured output labels.
As an example, a sample instance might be a natural language sentence, and the output label is an annotated parse tree. Training a classifier consists of showing pairs of correct sample and output label pairs. After training, the structured kNN model allows one to predict for new sample instances the corresponding output label; that is, given a natural language sentence, the classifier can produce the most likely parse tree.
Training
As a training set SkNN accepts sequences of elements with defined class labels. Type of elements does not matter, the only condition is the existence of metric function that defines a distance between each pair of elements of a set.
SkNN is based on idea of creating a graph, each node of which represents class label. There is an edge between a pair of nodes iff there is a sequence of two elements in training set with corresponding classes. Thereby the first step of SkNN training is the construction of described graph from training sequences. There are two special nodes in the graph corresponding to an end and a beginning of sentences. If sequence starts with class `C`, the edge between node `START` and node `C` should be created.
Like a regular kNN, the second part of the training of SkNN consists only of storing the elements of trained sequence in special way. Each element of training sequences is stored in node related to the class of previous element in sequence. Every first element is stored in node `START`.
Inference
Labelling of input sequences in SkNN consists in finding sequence of transitions in graph, starting from node `START`, which minimises overall cost of path. Each transition corresponds to a single element of input sequence and vice versa. As a result, label of element is determined as target node label of the transition. Cost of the path is defined as sum of all its transitions, and the cost of transition from node `A` to node `B` is a distance from current input sequence element to the nearest element of class `B`, stored in node `A`. Searching of optimal path may be performed using modified Viterbi algorithm. Unlike the original one, the modified algorithm instead of maximizing the product of probabilities minimizes the sum of the distances.
References
External links
Implementation examples
Structured prediction
Machine learning algorithms |
https://en.wikipedia.org/wiki/List%20of%20Sydney%20Ferries%20wharves | Sydney Ferries is a metropolitan ferry service operating in Sydney Harbour, connecting a network of 36 wharves on the waterway and its various inlets and tributaries. Currently, Sydney Ferries operates nine distinct service routes across the harbour, all originating from or terminating at Circular Quay ferry wharf, one of only five wharves on the network to be regularly serviced by more than one route, with the other four being Balmain East, Barangaroo, McMahons Point, and Milsons Point, all serviced by both the F3 Parramatta River and F4 Darling Harbour services. The network's extent reaches Parramatta ferry wharf at its most westerly, and Manly ferry wharf at its most easterly.
Wharves
In use
Decommissioned
References
Notes
Citations
External links
Ferry transport in Sydney
Ferry wharves |
https://en.wikipedia.org/wiki/2002%20NCAA%20Division%20I-AA%20football%20rankings | The 2002 NCAA Division I-AA football rankings are from the Sports Network poll of Division I-AA head coaches, athletic directors, sports information directors and media members. This is for the 2002 season.
Legend
The Sports Network poll
References
Rankings
NCAA Division I FCS football rankings |
https://en.wikipedia.org/wiki/Yanai%20Paagan | Yaanai Paagan () is a 1960 Indian Tamil-language film directed by M. A. Thirumugam. The film stars Udaykumar and B. Saroja Devi. It was released on 19 October 1960.
Plot
Cast
Adapted from the database of Film News Anandan.
Udaykumar
B. Saroja Devi
P. S. Veerappa
Manorama
Jayanthi
S. V. Subbaiah
S. D. Subbulakshmi
V. R. Rajagopal
Sandow M. M. A. Chinnappa Thevar
Dubbed versions
The film was dubbed into Telugu and released in 1961 as Evaru Donga and into Hindi, also released in 1961, as Mahavat.
Soundtrack
The music was composed by K. V. Mahadevan while the lyrics were penned by A. Maruthakasi, Kovai Kumaradevan, Puratchidasan and Alangudi Somu.
Reception
The Sunday Standard appreciated the locations, cinematography and performances of the cast.
References
External links
1960s Tamil-language films
Films about elephants
Films directed by M. A. Thirumugam
Films scored by K. V. Mahadevan
Indian adventure films |
https://en.wikipedia.org/wiki/Acute%20to%20chronic%20ratio | The acute to chronic ratio (ACR) uses acute toxicity data to gauge the chronic toxicity (MATC) of a chemical of interest to an organism. The science behind determining a safe concentration to the environment is imperfect, statistically limited, and resource intensive. There is an unfilled demand for the rapid assessment of different chemical toxicity to many different organisms. The ACR is a proposed solution to this demand.
While empirical methods are crucial to making scientific conclusions and informed decisions, best personal judgement is often the best tool to the regulator in allowing or prohibiting potentially toxic chemicals from entering the environment. This means taking into consideration information about chemical structure, physical and chemical properties including fate and transport in the environment, and most importantly toxicological data.
The ACR is mathematically the inverse of the application factor (AF), which was first proposed by Mount and Stephan (1967). It provides no new information, it simply converts AF values into whole integer numbers that are more easily comparable for researchers visually.
Calculation
The ACR is the inverse of the application factor (AF). This makes it easier for regulators to visualize data as whole numbers rather than decimals. The AF is calculated by dividing the Maximum Acceptable Toxicant Concentration (MATC) by the Lethal Concentration that kills 50% of test organisms in an acute toxicity test (LC50).
The Maximum Allowable Toxicity Concentration (MATC) is determined by taking the square root of the No Effects Concentration (NOEC) multiplied by the Low effect concentration (LOEC).
The Application Factor (AF) is determined by dividing the MATC by the LC50
or
The ACR is then the inverse of the AF.
Regulatory use
There are thousands of new and different chemicals that are designed and synthesized by private chemical manufacturers every year. The public demands that all of these chemicals go through testing and be approved for use by the EPA under the TSCA. Part of that testing requirement is determining the toxicity of chemicals to organisms in the environment.
Law
Section 5 of the TSCA states that the EPA must respond to pre-manufacturing notices (PMN) 90 –180 days after submission by the manufacturer. The EPA is responsible for identifying the substance, its proposed use, amount made, byproducts, exposure levels, and all existing environmental and health data necessary to prevent significant harm to the environment.
Additionally there are no PMN test requirements so there is often a minimal amount of data presented. This may be discussed as a fault of the TSCA.
New chemical PMNs are submitted early in the chemical's development so they rarely contain information about chronic toxicity - yet the EPA must respond within the 90-180 day time period after submission of the PMN.
This essentially puts a huge burden on the EPA because chemical effects to the environment are extremely hard |
https://en.wikipedia.org/wiki/Super%20Ma%27am | Super Ma'am (International title: My Teacher, My Hero) is a Philippine television drama action fantasy series broadcast by GMA Network. Directed by Lord Alvin Madridejos and Albert Langitan, it stars Marian Rivera in the title role. It premiered on September 18, 2017 on the network's Telebabad line up replacing Alyas Robin Hood. The series concluded on January 26, 2018 with a total of 95 episodes. It was replaced by Sherlock Jr. in its timeslot.
Originally titled as The Good Teacher, it was later renamed to Super Ma'am. The series is streaming online on YouTube.
Premise
Minerva Henerala, a high-school teacher, lost her mother and sister to an archaeological accident many years ago. She had an encounter with winged creatures and shape shifters called Tamawo. Throughout the years, the Tamawo have made their way into the city and abduct children to feed on their energy. Minerva becomes "Super Ma'am", a Tamawo hunter, and saves the human world from them.
Cast and characters
Lead cast
Marian Rivera as Minerva Henerala / Super Ma'am
Supporting cast
Helen Gamboa as Lolita Honorio
Kim Domingo as Avenir Segovia / Mabelle Henerala / Vera
Joyce Ching as Dalikmata / Dolly
Kristofer Martin as Aceron "Ace" Mendoza / Lakandayo
Jerald Napoles as Esteban "Teban" Magbanua
Jillian Ward as Michelle Ombrero
Jackie Lou Blanco as Greta Segovia
Matthias Rhoads as Trevor Jones
Al Tantay as Chaplin Henerala
Ashley Ortega as Kristy Garcia / Maureen
Meg Imperial as Jessica Montesa
Kevin Santos as Casper
Shyr Valdez as Lailani
Enrico Cuenca as Jake
Julius Miguel as Bixby Henerala
Isabella de Leon as Rafa
Ashley Rivera as Rose
Vincent Magbanua as Eric Gumatay
Andrew Gan as Keno
Marika Sasaki as Dina
Ralph Noriega as Onin Cortez
Guest cast
Ai-Ai delas Alas as Barbie
Dina Bonnevie as Raquel Honorio-Henerala
Carmina Villarroel as Ceres
Elijah Alejo as young Minerva
Sofia Pablo as young Mabelle
Barbara Miguel as young Jessica
Rafa Siguion-Reyna as Samuel
Zackie Rivera as Isay
Richard Quan as Gorio
Mark Andaya as Pido
Tonio Quiazon as Arlan
Ivan Dorschner as Isko Dagohoy
Conan Stevens as Baraka
Jeric Gonzales as Isagani Dagohoy
as Katrina "Katitay" Magbanua
Lucho Ayala as Adonis
Shermaine Santiago as Linda
Diana Zubiri as Gilda "Jill" Magpantay
Epi Quizon as Jacqueline "Jack" Magpantay
Divine Tetay as Wendy "Wen" Magpantay
Jade Lopez as Vicky Cortez
Lia Valentin as Rosa
Ermie Concepcion as Tale
Neil Ryan Sese as Arjay
Rita Avila as Lorenza Diaz
John Kenneth as Justin Ombrero
Liezel Lopez as Sonia
Toby Alejar as Frankenstein
Gil Cuerva as Xavier
Patricia Tumulak as Black Super Ma'am
Boobay as Lovely
Barbie Forteza as Pearly
Addy Raj as Christian
Joanna Katanyag as Celeste
Ayeesha Cervantes as Wendy
Ces Aldaba as Lolong
Beki Belo as Mema Sirena
Andrea del Rosario as Azravach
Arny Ross as Serpentina
Jazz Ocampo as Mamba
Ameera Johara as Pythona
Victor Neri as Agalon
Jak Roberto as Isidro "Sidro" Dagohoy
Rating |
https://en.wikipedia.org/wiki/SNAC | Social Networks and Archival Context (SNAC) is an online project for discovering, locating, and using distributed historical records in regard to individual people, families, and organizations.
The project
SNAC is a digital research project that focuses on obtaining records data from various archives, libraries, and museums, so the biographical history of individuals, ancestry, or institutions are incorporated into a single file as opposed to the data being spread throughout different associations, thereby lessen the task of searching various memory organizations to locate the knowledge one seeks. SNAC is used alongside other digital archives to connect related historical records.
One of the project's tools is a radial-graph feature which helps identify a social network of a subject's connections to related historical individuals.
The Institute for Advanced Technology in the Humanities (IATH), University of Virginia; the School of Information, University of California, Berkeley (SI/UCB), and the California Digital Library (CDL), University of California are the three primary organizations responsible for processing the different elements of the project.
IATH conducts the project and also collect sourcing data from participating institutions, compile record descriptions from MARC catalogs and EAD finding aids, and turned them into EAC-CPF files.
SI/UCB manages the process of identifying and pairing similar EAC-CPF records to create a unifying file that searchable.
CDL utilizes the Extensible Text Framework (XTF) which connects the different sources that make up a single EAC-CPF file back to its primary resources.
With a variety of organizations such as the Library of Congress, Smithsonian Institution, and British Library contributing data to the project, it allows the SNAC team to collect a substantial amount of information available on a subject.
History
SNAC was established in 2010, with funding from the National Endowment for the Humanities (NEH) by the National Archives and Records Administration (NARA), California Digital Library (CDL), Institute for Advanced Technology in the Humanities (IATH) at the University of Virginia and the University of California, Berkeley School of Information. The Andrew W. Mellon Foundation funded the second phase of the project from 2012 to 2014.
With the U.S. National Endowment for Humanities supplying financing, the first half of the project began, enabling the developers of SNAC to explore data extraction from the file creator and develop a model of the record description system. By gathering the contents found within the record creator, it helps to broaden the knowledge available on the entity biographical history.
With the tremendous progress made in the initial stage, planning for the second half of the project centered on adding more contributors to continue to build a dissimilar of information. To help the SNAC team with the second portion of the project, funding was received from the U.S. In |
https://en.wikipedia.org/wiki/Common%20Electrical%20I/O | The Common Electrical I/O (CEI) refers to a series of influential Interoperability Agreements (IAs) that have been published by the Optical Internetworking Forum (OIF). CEI defines the electrical and jitter requirements for 3.125, 6, 11, 25-28, and 56 Gbit/s electrical interfaces.
CEI, the Common Electrical I/O
The Common Electrical I/O (CEI) Interoperability Agreement published by the OIF defines the electrical and jitter requirements for 3.125, 6, 11, 25-28, and 56 Gbit/s SerDes interfaces. This CEI specification has defined SerDes interfaces for the industry since 2004, and it has been highly influential. The development of electrical interfaces at the OIF began with SPI-3 in 2000, and the first differential interface was published in 2003. The seventh generation electrical interface, CEI-56G, defines five reaches of 56 Gbit/s interfaces. The OIF completed work on its eighth generation through its CEI-112G project. The OIF has launched its ninth generation with its CEI-224G project. CEI has influenced or has been adopted or adapted in many other serial interface standards by many different standards organizations over its long lifetime. SerDes interfaces have been developed based on CEI for most ASIC and FPGA products.
CEI direct predecessors
Throughout the 2000s, the OIF produced an important series of interfaces that influenced the development of multiple generations of devices. Beginning with the donation of the PL-3 interface by PMC-Sierra in 2000, the OIF produced the System Packet Interface (SPI) family of packet interfaces. SPI-3 and SPI-4.2 defined two generations of devices before they were supplanted by the closely related Interlaken standard in the SPI-5 generation in 2006.
The OIF also defined the SerDes Framer Interface (SFI) family of specifications in parallel with SPI. As a part of the SPI-5 and SFI-5 development, a common electrical interface was developed termed SxI-5. SxI-5 abstracted the electrical I/O interface away from the individual SPI and SFI documents. This abstraction laid the groundwork for the highly successful CEI family of Interoperability Agreements and was incorporated in the original release of CEI 1.0 a generation later.
Generations of OIF Electrical Interfaces
Two earlier generations in this development path were defined by some of the same individuals at the ATM Forum in 1994 and 1995. These specifications were called UTOPIA Level 1 and 2. These operated at 25 Mbit/s (0.025 Gbit/s) and 50 Mbit/s per wire single ended and were used in OC-3 (155 Mbit/s) applications. PL-3 was a packet extension of the cells carried by those earlier interfaces.
Public demonstrations
Compliant implementations to the draft CEI-56G IAs were demonstrated in the OIF booth at the Optical Fiber Conference in 2015, 2016 and 2017.
References
Digital electronics
Ethernet
Synchronous optical networking
Fiber-optic communications |
https://en.wikipedia.org/wiki/Papar%20railway%20station%20%28Malaysia%29 | Papar railway station () is one of four main railway station on the Western Sabah Railway Line located in Papar, Sabah, Malaysia.
History
As part of the development of rail networks in North Borneo, construction of rail networks has started since 1896 with Papar have become one of economic production site in the West Coast Division as sago mills began to appear in the area as well in Beaufort. Full operation service of the North Borneo Railway was launched on 1 August 1914. During World War II, a railway bridge crossing the Papar River was destroyed while the railway station was ridden with bullets following the heavy fighting between the Australian and Japanese forces.
In 2007, the station was closed for renovation works with the station building which was originally built from wood being demolished and replaced with a new concrete building. The present station began its operation on 21 February 2011. In 2016, new diesel multiple unit (DMUs) from Japan for use in the Tanjung Aru–Beaufort lines was introduced. A tourist stop centre is set to be built near the station in 2017.
References
External links
Railway stations opened in 1914
Railway stations in Sabah |
https://en.wikipedia.org/wiki/Dave%20Thornbury | David Thornbury (born in 1948) is an American trick roper and saddle maker.
Career
Thornbury was born in 1948 and started lassoing at the age three, and stated there were "No computer games, no TV, no electronics — just the rope I grew up on." His father, J.D., was a trick horse rider who raised him traveling from rodeo to rodeo as his family performed on a Midwest circuit.
As an adult, Thornbury first learned saddlery in Michigan but fine-tuned his art and tooling skills later from a Pima saddler named Mervyn Ringlero. Thornbury moved to California in the 1970s and became popular worldwide for his saddles and leather goods that included work for stuntmen in Hollywood. Thornbury continued in the rodeo as a Bronc rider, and at one point, was hired to model for Marlboro Man ads.
Personal life
Thornbury lives in Agoura Hills.
He is a regular performer with his lasso at the Santa Clarita Cowboy Festival.
References
Living people
Trick roping
Saddle bronc riders
1948 births |
https://en.wikipedia.org/wiki/Headcrash | Headcrash is a satirical cyberpunk novel by Bruce Bethke, published in 1995 by Warner Books. It won the Philip K. Dick Award in 1995.
It follows Jack Burroughs, who loses his bureaucratic corporate job and goes undercover on the InfoBahn (internet), creating a new persona as a popular, cool virtual character aliased MAXK00L, in a virtual reality social media area:
Bethke unintentionally named the entire cyberpunk subgenre of science fiction in his 1983 story "Cyberpunk".
Reception
Enjoying moderate sales and mixed reviews (often centering around whether the reviewer saw it as satire or a failed attempt at sincere comedy), the book went on to capture a few awards, most notably the Philip K. Dick Award for best paperback novel in 1995.
References
1995 novels
Cyberpunk novels |
https://en.wikipedia.org/wiki/2003%20NCAA%20Division%20I-AA%20football%20rankings | The 2003 NCAA Division I-AA football rankings are from the Sports Network poll of Division I-AA head coaches, athletic directors, sports information directors and media members. This is for the 2003 season.
Legend
The Sports Network poll
References
Rankings
NCAA Division I FCS football rankings |
https://en.wikipedia.org/wiki/I%20Heart%20Davao | I Heart Davao (International title: My Sweet Heart) is a 2017 Philippine television drama romance series broadcast by GMA Network. Directed by Marlon N. Rivera, it stars Carla Abellana and Tom Rodriguez. It premiered on June 26, 2017 on the network's Telebabad line up replacing Meant to Be. The series concluded on August 18, 2017 with a total of 40 episodes. It was replaced by My Korean Jagiya in its timeslot.
The series is streaming online on YouTube.
Premise
Hope, a heart transplant recipient goes to Davao City to save her family's chocolate business. She meets Ponce who is the ex-boyfriend of her heart donor.
Cast and characters
Lead cast
Carla Abellana as Hope Villanueva-Torres
Tom Rodriguez as Ponce Torres
Supporting cast
Benjamin Alves as Paul Gutierrez
Betong Sumaya as Patrick "Tasoy" Alcancez
Maey Bautista as Judith Bueno-Alcancez
Catherine Remperas as Aileen Ayuban / Dorothy
Ricardo Cepeda as Manolo Torres
Phillip Lazaro as Vicencio "Vic"/ Vivenca "Venks" Sumpak
Racquel Villavicencio as Helena Veronica "Helen" Villanueva
Glenda Garcia as Mary Prudence "Pru" Villanueva
Joel Saracho as Manuel Ayuban
Geraldine Villamil as Mila Fostanes-Ayuban
Nats Sitoy as Jenny Ayuban
Kevin Sagra as Teban
Guest cast
Patricia Tumulak as Maxine "Max" San Agustin
Rez Cortez as Judith's father
Ces Quesada as Judith's mother
Zoren Legaspi as Eugene "Euge" Lumbas
Episodes
June 2017
July 2017
August 2017
Ratings
According to AGB Nielsen Philippines' Nationwide Urban Television Audience Measurement, the pilot episode of I Heart Davao earned a
7.4% rating. While the final episode scored a 6.5% rating. The series had its highest rating on July 28, 2017 with an 8.3% rating.
References
External links
2017 Philippine television series debuts
2017 Philippine television series endings
Filipino-language television shows
GMA Network drama series
GMA Integrated News and Public Affairs shows
Philippine romantic comedy television series
Television shows set in Davao City |
https://en.wikipedia.org/wiki/Miss%20Dougal | Miss Dougal was an All-American Girls Professional Baseball League player.
According to All-American League data, she was assigned to the Muskegon Belles club during its 1953 season.
Nevertheless, the league stopped individual achievements after 1948, so individual accomplishments and additional information are complete only through 1948.
In 1988 was inaugurated a permanent display at the Baseball Hall of Fame and Museum at Cooperstown, New York, that honors those who were part of the All-American Girls Professional Baseball League. Miss Dougal, along with the rest of the girls and the league staff, is included at the display/exhibit.
Sources
All-American Girls Professional Baseball League players
Muskegon Belles players
Baseball players from Michigan
Sportspeople from Muskegon, Michigan
1931 births
2014 deaths |
https://en.wikipedia.org/wiki/List%20of%20most-liked%20Instagram%20posts | This list of most-liked Instagram posts contains the top 20 posts by number of likes on the photo and video-sharing social networking service Instagram.
The most-liked post is a carousel of the Argentine footballer Lionel Messi and his teammates celebrating the 2022 FIFA World Cup win at Lusail Stadium in Lusail, Qatar, which has been liked by over 75.7 million different accounts. Uploaded on December 18, 2022, the post shows Messi lifting his first World Cup Trophy after Argentina's win over France in the final. It is also the most liked post of all time across all social media platforms.
Current record
On December 18, 2022, footballer Lionel Messi posted a carousel with photos of him lifting the FIFA World Cup Trophy and celebrating with his teammates after winning the 2022 FIFA World Cup with Argentina, which reached 10 million likes within the first 39 minutes of its sharing. The following day, the post became the most-liked Instagram post in the first 24 hours of its sharing, with 50 million likes, and it also became the most-liked ever for a sportsperson, breaking the record of Cristiano Ronaldo, whose photo from November 19, 2022, of him and Messi playing chess reached over 42 million likes. On December 20, 2022, the post reached over 56 million likes, surpassing the previous record held by @world_record_egg. Messi also has a record seven (shared with Cristiano Ronaldo) out of the top 20 most-liked posts, with posts mainly released around the 2022 FIFA World Cup.
Within 48 hours of Messi posting, the Instagram post had surpassed 64 million likes, and in doing so, it became the most-liked social media post ever across all social media platforms, by overtaking the most-liked post on YouTube, the music video for the song "Despacito", which had reached 50.2 million likes, and the most-liked post on TikTok, a video uploaded by Bella Poarch featuring her lip-syncing to the song "Sophie Aspin Send", which had reached 60.3 million likes. This also meant that it became the first ever post on Instagram to reach 60 and 70 million likes, achieving that in just 3 days since it was posted.
Previous record
On January 4, 2019, the account @world_record_egg posted a photo of an egg with the specific purpose of surpassing the then most-liked Instagram post, a picture of Kylie Jenner's daughter with 18.6 million likes. The photo of the egg was originally taken by Serghei Platanov, who then posted it to Shutterstock on June 23, 2015, with the title "eggs isolated on white background." The creator of the @world_record_egg account was Chris Godfrey, an advertising creative, and his friends CJ Brown and Alissa Khan-Whelan.
On January 14, 2019, the egg post became the most-liked post on Instagram, to which the egg's account owner wrote "This is madness. What a time to be alive." Jenner responded with a video on Instagram of her cracking an egg open with the caption: "Take that little egg." Platanov was surprised by his photo's popularity, writing, "Egg is |
https://en.wikipedia.org/wiki/List%20of%20most-retweeted%20tweets | This list of most-retweeted tweets contains the top 30 tweets with the most retweets (an account's tweet that is sent again by additional accounts without any change) of all time on the social networking platform Twitter; Twitter does not provide an official list but news and mainstream media make lists. As of , the top tweet has over 4 million retweets and was tweeted by Japanese billionaire Yusaku Maezawa. Three accounts have more than one of the most-retweeted tweets in the top 30: South Korean band BTS has nineteen, while Maezawa and YouTubers El Rubius and Hikakin each have two.
List
The following table lists the top 30 most-retweeted tweets on Twitter, the account that tweeted it, the total number of retweets rounded down to the nearest hundred thousand, and the date it was originally tweeted. Tweets that have an identical number of retweets are listed in date order with the most recent tweet ranked highest. The notes include the details surrounding the tweet.
See also
List of most-followed Twitter accounts
List of most-liked tweets
List of most-subscribed YouTube channels
List of most-disliked YouTube videos
List of most-liked YouTube videos
List of most-liked Instagram posts
Notes
References
Tweets, most-retweeted
Tweets, most-retweeted
Twitter retweets |
https://en.wikipedia.org/wiki/Lieberman%20Software | Lieberman Software Corporation is a cyber security software firm that develops automated privileged identity management and secure privileged access management software.
In January 2018, Lieberman Software got acquired by Bomgar Corporation.
History
The company was first formed as Lieberman and Associates in 1978 by Philip Lieberman.
It became an Independent software vendor in 2004 under the name, "Lieberman Software Corporation".
In May 2014, Lieberman Software introduced new privileged user management (PUM) capabilities in the Enterprise Random Password Manager™ (ERPM) at Microsoft TechEd 2014 in Houston, TX. The new PUM capabilities allow users to launch cross-platform applications in a secure environment, where elevated operations are automatically authorized, recorded and audited.
In June 2015, Lieberman Software was deemed Microsoft 2015 Application Development Partner of the Year.
In 2016, Lieberman Software was awarded the 2016 Cybersecurity Excellence Award. In the same year it was also awarded American Security Today 2016 Homeland Security Award.
In 2017, Lieberman Software won Info Security Products Guide Global Excellence Award for Best Identity Management. In the same year Lieberman Software announced a new partner integration with SailPoint IdentityIQ. A few months later at Black Hat in Las Vegas, Lieberman Software announced a partnership with VeriClouds. The same month, Lieberman Software announced its Lieberman RED - Rapid Enterprise Defense™ Suite.
On February 1, 2018, Lieberman Software announced that it was acquired by Bomgar.
References
External links
Bomgar website
Bellevue Business Journal:Microsoft 2015 Partner of the Year Awards Revealed
ABC News Interviews Philip Lieberman About Netflix Hack
Defunct software companies of the United States |
https://en.wikipedia.org/wiki/Raquel%20Urtasun | Raquel Urtasun is a professor at the University of Toronto. Urtasun uses artificial intelligence, particularly deep learning, to make vehicles and other machines perceive the world more accurately and efficiently.
Education
Urtasun received her bachelor's degree in Telecommunication Engineering from the Universidad Publica de Navarra in 2000 and her Ph.D. degree from the Computer Science department at École Polytechnique Fédérale de Lausanne (EPFL) in 2006. Afterward, she was a postdoctoral scholar with Trevor Darrell, initially at MIT (2006–2008) and then, following Darrell's move to the International Computer Science Institute, at UC Berkeley (2008–2009).
Career
Professor Urtasun's area of research is machine perception for self-driving cars. This work includes machine learning, computer vision, robotics and remote sensing. She was previously an assistant professor at the Toyota Technological Institute at Chicago (TTIC) (2009–2014) and a visiting professor at ETH Zurich (2010).
In May 2017, Uber hired Urtasun to lead a Toronto-based research team on self-driving cars. There, she led a research group in Uber's Advanced Technologies Group. Uber hired dozens of researchers and also made a multi-year, multi-million dollar commitment to Toronto's Vector Institute, which Urtasun co-founded. She worked for the University of Toronto one day per week and for Uber four days per week. She brought eight students with her.
In 2021, Urtasun left Uber and launched Waabi Innovation, focused on developing self-driving cars.
Awards and honours
Among Urtasun's awards are an NSERC E.W.R. Steacie Memorial Fellowship, an NVIDIA Pioneers of AI Award, a Ministry of Education and Innovation Early Researcher Award. She is the recipient of Faculty Research Awards from both Amazon and Google, the latter three times. She served as Program Chair of CVPR 2018, and is an editor of the International Journal in Computer Vision (IJCV). She has also served as Area Chair of several machine learning and vision conferences including NeurIPS, UAI, ICML, ICLR, CVPR, and ECCV. She was selected as one of the Chatelaine Women of the Year 2018.
References
Canadian women academics
Academic staff of the University of Toronto
Spanish women academics
Spanish emigrants to Canada
Living people
Year of birth missing (living people)
École Polytechnique Fédérale de Lausanne alumni
Public University of Navarre alumni |
https://en.wikipedia.org/wiki/Robert%20Clifford%20Pelletier | Robert Clifford "Bob" Pelletier (May 8, 1933 – June 23, 2016) was an American entrepreneur and businessman. He was a pioneer of financial market data and trading analysis and the founder and CEO of Commodity Systems Inc.
Early life
Pelletier had a background in statistics, probability theory, and analytical modeling, worked in the Advanced Analytical Methods Laboratories at the General Electric Co. in New York, and consulted for the US Navy in Hawaii under Planning Research Corp.
Market data
Business
In 1969, Pelletier founded Commodity Systems, Inc., also known as CSI Data. The corporate headquarters were soon established in Boca Raton, Florida. CSI strived to provide clean end-of-day market data that was checked for errors. Pelletier said "If you’re testing data, you want it to be correct when you initially receive it” Pelletier was one of the first users of the Mitel SX-50 phone switching system, which he used to feed data to his customers from four Texas Instruments 990 microcomputers and one Convergent Technologies supermicrocomputer.
Perpetual Contracts
In 1970, Pelletier developed a continuous price series which was trademarked "Perpetual Contracts". It is a weighted average between two futures contracts. It provided a smooth series that was ideal for back-testing futures trading systems.
References
1933 births
2016 deaths
Businesspeople from Syracuse, New York
American financial businesspeople
20th-century American businesspeople |
https://en.wikipedia.org/wiki/Artificial%20intelligence%20in%20industry | Industrial artificial intelligence, or industrial AI, usually refers to the application of artificial intelligence to industry. Unlike general artificial intelligence which is a frontier research discipline to build computerized systems that perform tasks requiring human intelligence, industrial AI is more concerned with the application of such technologies to address industrial pain-points for customer value creation, productivity improvement, cost reduction, site optimization, predictive analysis and insight discovery.
Artificial intelligence and machine learning have become key enablers to leverage data in production in recent years due to a number of different factors: More affordable sensors and the automated process of data acquisition; More powerful computation capability of computers to perform more complex tasks at a faster speed with lower cost; Faster connectivity infrastructure and more accessible cloud services for data management and computing power outsourcing.
Categories
Possible applications of industrial AI and machine learning in the production domain can be divided into seven application areas:
Market & Trend Analysis
Machinery & Equipment
Intralogistics
Production Process
Supply Chain
Building
Product
Each application area can be further divided into specific application scenarios that describe concrete AI/ML scenarios in production. While some application areas have a direct connection to production processes, others cover production adjacent fields like logistics or the factory building.
An example from the application scenario Process Design & Innovation are collaborative robots. Collaborative robotic arms are able to learn the motion and path demonstrated by human operators and perform the same task. Predictive and preventive maintenance through data-driven machine learning are examplary application scenarios from the Machinery & Equipment application area.
Challenges
In contrast to entirely virtual systems, in which ML applications are already widespread today, real-world production processes are characterized by the interaction between the virtual and the physical world. Data is recorded using sensors and processed on computational entities and, if desired, actions and decisions are translated back into the physical world via actuators or by human operators. This poses major challenges for the application of ML in production engineering systems. These challenges are attributable to the encounter of process, data and model characteristics: The production domain’s high reliability requirements, high risk and loss potential, the multitude of heterogeneous data sources and the non-transparency of ML model functionality impede a faster adoption of ML in real-world production processes.
In particular, production data comprises a variety of different modalities, semantics and quality. Furthermore, production systems are dynamic, uncertain and complex, and engineering and manufacturing problems are data-rich |
https://en.wikipedia.org/wiki/LitRPG | LitRPG, short for literary role playing game, is a literary genre combining the conventions of computer RPGs with science-fiction and fantasy novels. The term was introduced in 2013. In LitRPG, games or game-like challenges form an essential part of the story, and visible RPG statistics (for example strength, intelligence, damage) are a significant part of the reading experience. This distinguishes the genre from novels that tie in with a game, like those set in the world of Dungeons & Dragons; books that are actual games, such as the choose-your-own-path Fighting Fantasy type of publication; or games that are literarily described, like MUDs and interactive fiction. Typically, the main character in a LitRPG novel is consciously interacting with the game or game-like world and attempting to progress within it.
History
The literary trope of getting inside a computer game is not new. Andre Norton's Quag Keep (1978) enters the world of the characters of a D&D game. Larry Niven and Steven Barnes's Dream Park (1981) has a setting of LARP-like games as a kind of reality TV in the future (2051). With the rise of MMORPGs in the 1990s came science fiction novels that utilised virtual game worlds for their plots. Early examples are Piers Anthony's 1993 Killobyte, Tad Williams's 1996–2004 tetralogy Otherland, Conor Kostick's 2004 Epic and Charles Stross's 2007 Halting State. In Taiwan, the first of Yu Wo's nine ½ Prince (½ 王子 Èrfēnzhīyī Wángzǐ) novels appeared, published in October 2004 by Ming Significant Cultural. In Japan, the genre has reached the mainstream with the release of the media phenomenon .hack//Sign in 2002 and Sword Art Online in 2009. Also of note is the Korean Legendary Moonlight Sculptor series with over 50 volumes.
While these novels and others were precursors to a more stat-heavy form of novel, which is LitRPG proper, a Russian publishing initiative identified the genre and gave it a name. The first Russian novel in this style appeared in 2012 at the Russian self-publishing website samizdat.ru, the novel Господство клана Неспящих (Clan Dominance: The Sleepless Ones) by Dem Mikhailov set in the fictional sword and sorcery game world of Valdira, printed by Leningrad Publishers later that year under the title Господство кланов (The Rule of the Clans) in the series Современный фантастический боевик (Modern Fantastic Action Novel) and translated into English as The Way of the Clan as a Kindle book in 2015. In 2013, EKSMO, a major Russian publishing house, started its multiple-author project entitled LitRPG. According to Magic Dome Books, a major translator of Russian LitRPG, the term "LitRPG" was coined in late 2013 during a brainstorming session between writer Vasily Mahanenko, EKSMO's science fiction editor Dmitry Malkin and fellow LitRPG series editor and author . Since 2014, EKSMO has been running LitRPG competitions and publishing the winning stories.
Examples
English-language
Arcane Ascension (2017–) by Andrew Rowe
Awaken O |
https://en.wikipedia.org/wiki/Open%20educational%20practices%20in%20Australia | Open Educational Practices in Australia refers to the development, implementation and use of Open educational resources (OER), open access (research and data), open learning design, open policies, and Massive Open Online Courses (MOOCs) to open up education in Australia.
History
In Australia, Open Educational Practices (OEP) started around 1998, when some of the first open access initiatives were introduced and supported by the Australian government. In 2002, the open access movement had a substantial boost due to a programme funded by the Australian government called “Backing Australia’s Ability”. This programme was aimed broadly at promoting excellence in research, science and technology, but several initiatives attached to this programme played important roles in the progress of open access in Australia. They assisted in: raising awareness about open access; building research information infrastructure, including university repositories of open data, thesis and other digital objects; establishing metadata standards to improve access and discoverability of research information; and developing related guidelines.
Transformation of OEP Realised in Australia
Although the opportunities and benefits of OEP have been realised by the Australian government through investments in open access and by the VET and schools sectors, it was only in 2010 — almost 10 years after the movement emerged in other parts of the world (i.e., the MIT OpenCourseWare Consortium in 2001) — that it started getting more popular in higher education.
It was during this period that the Office for Learning and Teaching funded a two-year research project, which resulted in the report "Adoption, Use and Management of Open Educational Resources in Australia Higher Education".
One of the main deliverables of this project was the “Feasibility Protocol for OER and OEP” (Bossu, Brown, & Bull, 2014b), which is a set of guiding principles that prompts questions and raises issues to be considered by educational institutions wishing to experiment with OER and OEP. The protocol attempts to assist higher education leaders to make informed decisions about the adoption of OER and OEP at several levels within the institution, from management to individuals, including academics and students. The Feasibility Protocol addresses four topics: the opportunities that OER and OEP could bring to institutions and broader society; the challenges associated with OER and OEP adoption; considerations surrounding the institutions’ strategic directions for an effective adoption of OER and OEP; and policy recommendations for higher education institutions in Australia.
Another contribution of the two-year research project in helping the sector realise the opportunities of OER for higher education in Australia was the organisation of the first National Symposium on OER, held in August 2012 in Sydney. A range of stakeholders representing 21 national and international institutions (including higher educationa |
https://en.wikipedia.org/wiki/Data%20Act%20%28Sweden%29 | The Data Act () is the world's first national data protection law and was enacted in Sweden on 11 May 1973. It went into effect on 1 July 1974 and required licenses by the Swedish Data Protection Authority for information systems handling personal data.
History
Information and communications technologies (ICTs) were far developed in Sweden due to multiple circumstances and the use of computers in public administration was introduced relatively early. Furthermore, the concepts of transparency, public access and openness were traditionally widely present in Swedish society. Widespread public concern was raised in 1969 due to the year's public census.
In 1969, the Royal Commission on Publicity and Secrecy was set up to investigate problems associated with the increasing use of computers to store and process personal data. They provided the initial analysis, recommendations and drafts that addressed these problems. In July 1972, they published their report Computers and Privacy (Sw. Data och integritet).
The Data Inspection Board (DIB), proposed in the report, was set up in July 1973.
In April 1973, the Riksdag uncontentiously passed the Data Act, also proposed in the report, which only slightly modified the commission's draft. It then came into force in July 1973. An associated amendment to the Freedom of the Press Act was adopted in February 1974 − around the same time as the Credit Information Act and the Debt Recovery Acts which regulated computerized credit information.
Problems and succession
As the law's data registration and transborder data flow requirements were considered cumbersome and confusing by private and public organizations and the DIB was soon overcome by the magnitude of registrations the law was amended in 1982 which made the private sector and the government more self-sufficient in terms of registration.
After several more amendments in 1989 a Commission on Data Protection was set up to make a total revision of the act. The commission submitted its final report in 1993 recommending a new Data Protection Act based largely on the then current second proposal from the European Commission for an EC Directive. In 1995 Sweden joined the European Union which had adopted the Data Protection Directive in the same year and a new committee was entrusted with making recommendations on the implementation of the directive and a new total revision of the Data Act. In 1997 it presented a report on the implementation containing a proposal for a new Personal Data Act.
The law was then superseded on 24 October 1998 by the Personal Data Act (Sw. Personuppgiftslagen) that implemented the 1995 EU directive. The 1973 law mainly focused on automated computer processing systems containing assignable information of living persons and not data processing in general and was considered to be outdated in many respects for many years.
The law
The act required a prior permit from the DIB for each computerised personal data register. When a permit was |
https://en.wikipedia.org/wiki/Data%20Act | Data Act may refer to:
Data Act (European Union), 2021
Data Act (Sweden), 1973
Digital Accountability and Transparency Act of 2014, U.S. |
https://en.wikipedia.org/wiki/Industrial%20internet%20of%20things | The industrial internet of things (IIoT) refers to interconnected sensors, instruments, and other devices networked together with computers' industrial applications, including manufacturing and energy management. This connectivity allows for data collection, exchange, and analysis, potentially facilitating improvements in productivity and efficiency as well as other economic benefits. The IIoT is an evolution of a distributed control system (DCS) that allows for a higher degree of automation by using cloud computing to refine and optimize the process controls.
Overview
The IIoT is enabled by technologies such as cybersecurity, cloud computing, edge computing, mobile technologies, machine-to-machine, 3D printing, advanced robotics, big data, internet of things, RFID technology, and cognitive computing. Five of the most important ones are described below:
Cyber-physical systems (CPS): the basic technology platform for IoT and IIoT and therefore the main enabler to connect physical machines that were previously disconnected. CPS integrates the dynamics of the physical process with those of software and communication, providing abstractions and modeling, design, and analysis techniques.
Cloud computing: With cloud computing IT services and resources can be uploaded to and retrieved from the Internet as opposed to a direct connection to a server. Files can be kept on cloud-based storage systems rather than on local storage devices.
Edge computing: A distributed computing paradigm which brings computer data storage closer to the location where it is needed. In contrast to cloud computing, edge computing refers to decentralized data processing at the edge of the network. The industrial internet requires more of an edge-plus-cloud architecture rather than one based on purely centralized cloud; in order to transform productivity, products and services in the industrial world.
Big data analytics: Big data analytics is the process of examining large and varied data sets, or big data.
Artificial intelligence and machine learning: Artificial intelligence (AI) is a field within computer science in which intelligent machines are created that work and react like humans. Machine learning is a core part of AI, allowing software to more accurately predict outcomes without explicitly being programmed. It is also possible to combine artificial intelligence with edge computing in order to provide industrial edge intelligence solutions.
Architecture
IIoT systems are usually conceived as a layered modular architecture of digital technology. The device layer refers to the physical components: CPS, sensors or machines. The network layer consists of physical network buses, cloud computing and communication protocols that aggregate and transport the data to the service layer, which consists of applications that manipulate and combine data into information that can be displayed on the driver dashboard. The top-most stratum of the stack is the content layer or the user i |
https://en.wikipedia.org/wiki/Unikitty%21 | Unikitty! (stylized as UniKitty!) is an American animated television series developed by Ed Skudder and Lynn Wang for Cartoon Network and produced by The Lego Group and Warner Bros. Animation. The series stars the character of the same name from The Lego Movie franchise.
The series was announced on May 10, 2017. At the 2017 San Diego Comic-Con, it was confirmed by co-showrunner and co-executive producer Ed Skudder that the series would premiere on Cartoon Network on January 1, 2018. The second season of the series premiered on February 4, 2019, while the third and final season premiered on December 24, 2019.
The series ended on August 27, 2020, with the two-part series finale "The Birthday to End All Birthdays". By this point, Warner Bros. had terminated their film deal with Lego, resulting in Lego moving on to work with Universal Pictures. Despite this, Warner Bros. still owns the rights to their run of The Lego Movie franchise. However, an episode titled "Sick Day", was left unaired in the United States due to being unintentionally similar to the COVID-19 pandemic, but aired in other territories.
Premise
As the ruler of the Unikingdom, Princess Unikitty has various misadventures in her land with her brother Prince Puppycorn, scientist Dr. Fox, bodyguard Hawkodile, and advisor Richard. They also deal with the threats of Master Frown from the neighboring Frown Town.
Characters
Main
Princess Unikitty (voiced by Tara Strong; singing voice by Juliana Hansen) – The princess of the Unikingdom who is a cat/unicorn hybrid. She is very happy, playful, cute, and upbeat, but has an angry side that she sometimes struggles to control. She was previously voiced by Alison Brie in the original film and its sequel.
Prince Puppycorn (voiced by Grey Griffin) — Unikitty's younger brother, a puppy/unicorn hybrid. He is sometimes clueless and dimwitted, but is also loyal and good-hearted. He makes a cameo in The Lego Movie 2: The Second Part.
Dr. Fox (voiced by Kate Micucci) – A red fox who is the castle's resident scientist whose experiments and inventions can both create and resolve problems. Hawkodile has a crush on her.
Dr. Fox's Robots – Small robots that work for Dr. Fox.
Hawkodile (voiced by Roger Craig Smith) – Unikitty's trusty hawk/crocodile hybrid bodyguard who has a "macho" personality and has a crush on Dr. Fox. He trained to be a fighter in the Action Forest and has a rival named Eagleator, who was his former best friend and an eagle/alligator hybrid.
Richard (voiced by Roger Craig Smith) – A grey 1x3 Lego brick who is Unikitty's royal advisor and the castle's property caretaker. He speaks with a dull monotone voice and is often the voice of reason, though the others find him boring to listen to.
Master Frown (voiced by Eric Bauza) – Unikitty's archenemy who comes from Frown Town at the other side of Unikitty's kingdom. He is one of the Doom Lords that spread pain and misery throughout the world as he wants to impress the other Doom Lords. T |
https://en.wikipedia.org/wiki/Ioannis%20Pavlidis | Ioannis Thomas Pavlidis (born September 12, 1963) is a Greek American scholar. He is the distinguished Eckhard-Pfeiffer Professor of Computer Science at the University of Houston, founder, and director of the Affective and Data Computing Laboratory, formerly known as the Computational Physiology Lab (CPL).
Poh at al. in their 2010 article in Optics Express credit Pavlidis as the "first who postulated the idea of performing physiological measurements on the face, which later demonstrated through analysis of facial thermal videos." Pavlidis went on to develop several contactless thermo-physiological measurement methods that found applications in emotion and wellness monitoring. Ioannou and colleagues in their 2014 review in Psychophysiology provide a detailed account of these new methods and Pavlidis' key role in their development. Pavlidis is also credited with the design of influential naturalistic studies in deceptive behaviors and driving distractions, which he conducted using the technical methods he developed earlier.
Research
Contactless Physiological Measurements
In research between 2000 and 2012, Pavlidis developed contactless physiological measurements, impacting affective computing and personal health informatics. Affective computing has been relying on heart function, breathing function, and electrodermal activity (EDA) to estimate subjects’ emotional arousal levels. Heart and breathing functions also happen to be vital signs used in health care. Conventionally, heart and breathing functions were measured with tethered body sensors, while EDA was measured with galvanic skin response (GSR) sensors attached to the palm. Such obtrusive measurement methods were rendering continuous physiological monitoring impractical and were undercutting the aim of affective computing to understand human emotions. For instance, EDA palm sensing precluded affective monitoring when the subjects’ hands were at work, like in driving. To address these issues, Pavlidis designed contactless physiological measurement methods, which he operationalized by replacing sensors with thermal imaging trackers, and electronic devices with thermo-physiological models. His models were estimating heart (2001-2008), breath (2004-2010), and EDA signals (2009-2012) by operating on imagery of facial vasculature, the nostrils, and the perinasal region, respectively. The latter was also a significant discovery, as the existence of facial EDA responses was unknown up to that time.
Pavlidis first articulated his ideas for contactless, continuous, and automated physiological measurements in the paper `Continuous physiological monitoring', which appeared in the 2003 IEEE Engineering in Medicine and Biology Society (EMBS) conference proceedings. In 2004, Pavlidis and his colleagues reported imaging methods for contactless measurement of blood flow and breath in IEEE CVPR and IEEE EMBS, respectively. In the 2005 CVPR, Pavlidis and his colleagues followed up with an imaging me |
https://en.wikipedia.org/wiki/Cybereason | Cybereason is an American cybersecurity technology company founded in 2012. It is headquartered in the United States, with offices in San Diego, California Tokyo, Japan, Cork, Ireland, Dubai, UAE, and Tel Aviv, Israel.
History
In July 2012, Cybereason was founded and incorporated in Delaware, United States.
In 2014, Cybereason established its headquarters in Boston, Massachusetts.
In August 2016, Cybereason incorporated a subsidiary in the United Kingdom.
In June 2017, Cybereason launched Malicious Life, a podcast about the history of cybersecurity.
In 2017, Cybereason established an office in London, England.
Funding
In 2014, Cybereason raised Series A funding from Charles River Ventures. In total, Cybereason reports having raised $88.6M in funding rounds, receiving $59M in its Series C round from Softbank in 2015.
.
In August 2019, Cybereason raised $200 million in new financing from SoftBank Group and its affiliates.
In April 2023, Cybereason raised an additional $100 million in venture funding from SoftBank Group and appointed SoftBank’s executive vice president, Eric Gan, as its new CEO, resulting in more than 50 percent ownership by SoftBank Group and SoftBank Venture Fund.
Services
Cybereason offers an endpoint protection platform. It delivers antivirus software, endpoint detection and response with one agent, and a suite of managed services.
Nocturnus is Cybereason's security research arm. The Nocturnus team specializes in discovering new attack methodologies, reverse-engineering malware, and exposing new system vulnerabilities. Nocturnus was the first to discover a vaccination for the 2017 NotPetya and Bad Rabbit cyberattacks.
References
External links
www.cybereason.com
Security companies of the United States
Computer security companies |
https://en.wikipedia.org/wiki/Xu%20Lin | Xu Lin may refer to:
Xu Lin (Hanban) (许琳), director of Hanban
Xu Lin (born 1963) (徐麟), head of the Cyberspace Administration of China and Communist Party Secretary of Guizhou
See also
Lin Xu (林旭), Qing dynasty reformer |
https://en.wikipedia.org/wiki/My%20Korean%20Jagiya | My Korean Jagiya ( / ) is a Philippine television drama romance comedy series broadcast by GMA Network. Directed by Mark A. Reyes, it stars Heart Evangelista and Alexander Lee. It premiered on August 21, 2017 on the network's Telebabad line up replacing I Heart Davao. The series concluded on January 12, 2018 with a total of 105 episodes. It was replaced by The One That Got Away in its timeslot.
The series is the first Philippine television drama series produced by GMA Network to be filmed in Seoul, South Korea. The series is streaming online on YouTube.
Premise
Gia often teased that she is next in her family to become an old maid, is a Korean drama fan with determination to meet her long-time crush and former Korean superstar Kim Jun-ho, who has since stepped out of the limelight. When her school offers her a scholarship training in Seoul, she grabs the opportunity to try and find Jun-ho, but ends up coming home disappointed. Back in Manila, she helps a drunk Korean guy beaten by gangsters which turned out to be Jun-ho.
Cast and characters
Lead cast
Heart Evangelista as Guadalupe Immaculada "Gia" Asuncion-Kim
Alexander Lee as Kim Jun-ho
Supporting cast
Janice de Belen as Adelaida "Aida" Asuncion
Ricky Davao as Joselito "Josie" Asuncion
Iya Villania as Kennedy Santos
Edgar Allan Guzman as Ryan Patrick Maalba
Valeen Montenegro as Cindy / Cinnamon
Frances Makil-Ignacio as Caridad “Carrie” Washington
Myke Solomon as Kerwin
Jinri Park as Lee Kyung-ha / Hannah Lee
Divine Aucina as Clarissa Asuncion
Khaine Hernandez as Paolo "Pao" Kim
Recurring cast
Shelly Hipolito as Scarlet Asuncion
Gileth Sandico as Pebbles Asuncion-Santos
Don Martin as Rocky Santos
Raymart Santiago as Dodong "Dong" / "Doods" Garcia
Guest cast
Kim Jung-wook as Kim Ji-hu
Oh Min-lee (Michelle Oh) as Kim Yea-jin
Lee Hae-ri as Choi
Kim Sun-hi as Jun-ho's interviewer
Dasuri Choi as a film actress
Rob Sy as Gia's workmate
Liezel Lopez as Nadine
Erlinda Villalobos as Dora Asuncion
Boboy Garovillo as Ernesto Garcia
Dexter Doria as Ludivina Garcia
Mickey Ferriols as Carmela “Mel” Tuazon
Andy Ryu as Lee Gong-woo
Jaclyn Jose as Charlotte "Chiclet" TIborcia
Cheska Iñigo as Amanda de Gracia
Ratings
According to AGB Nielsen Philippines' Nationwide Urban Television Audience Measurement People in television homes, the pilot episode of My Korean Jagiya earned a 6.6% rating. While the final episode scored an 8.5% rating. The series had its highest rating on November 3, 2017 with an 8.7% rating.
References
External links
2017 Philippine television series debuts
2018 Philippine television series endings
Filipino-language television shows
GMA Network drama series
Philippine romantic comedy television series
Television shows set in Hong Kong
Television shows set in the Philippines
Television shows set in Seoul |
https://en.wikipedia.org/wiki/ART%20International | ART is an international Arabic general entertainment satellite TV channel, part of the Arab Radio and Television Network. ART is available in the USA, Canada, Caribbean (Canada and Caribbean are available on selection pay-TV provider only), Latin America, Australia, New Zealand, Malaysia and Brunei.
In America, ART America is mix of the best of ART channels, Arab World TV stations programmes and in-house production programmes like Min Beirut, Good Mood, etc. (until 2021). All programmes and ART America's original programmes are available on ART Variety and ART Cable, by the following schedule through time zones.
Original programming
The Bridge
Good Mood
Min Beirut
New York Doctors
O² (Oxygen)
Top 10
Operating Channels
ART (Formerly known as ART Latino and ART Cable): Arabic general entertainment channel with carried programmes from Lebanon TV channels (Time zones: American Eastern (EST) and Pacific Time (PST))
ART Tarab (Tarab America): Arabic classic music and opera channel (Time zones: American Eastern Time (EST) and Greenwich Mean Time (GMT))
ART Movies (ART Movies America): Arabic movie channel (Time zones: American Eastern (EST), Sydney (SYD) and Kuala Lumpur Time (KLU))
Formerly operating channels
ART Africa
ART America
ART Asia
ART Europe
ART Teenz Europe
ART Variety (Formerly known as ART Australia, then it was merged into one)
See also
Arab Radio and Television Network
Arab mass media |
https://en.wikipedia.org/wiki/Nikil%20Viswanathan | Nikil Viswanathan is an American entrepreneur and public figure. He is the cofounder and CEO of Alchemy, the blockchain company backed by Stanford University, the Google Chairman, Charles Schwab, Reid Hoffman, and other billionaire founders and executives. Previously, Viswanathan cofounded Down To Lunch, the social hangout iPhone app which hit No. 1 in the App Store social rankings. He also created Check In To My Flight, a website which let travelers automatically check in to their Southwest Airlines flight. In January 2017, he was honored by Forbes with their 30 Under 30 award.
Early life and education
Viswanathan grew up in Lubbock, Texas and attended Lubbock High School. At Lubbock High, he was valedictorian and had the highest GPA in the history of the school. While growing up, he participated in the Boy Scouts of America and was awarded the Eagle Scout honor.
He attended Stanford University where he did his undergraduate and master's degrees in computer science with a focus on artificial intelligence and machine learning. While at Stanford he did product management internships at Facebook, Google, and Microsoft. During a winter break he built Fountainhop, a campus events platform that was used widely at Stanford, and with friends expanded it to colleges around the country.
Down To Lunch
Down To Lunch is a social iPhone application created by Viswanathan and his cofounder Joseph Lau. After moving to San Francisco, they said they missed their friends because they were working all the time. After finding it difficult to discover which of their friends was available when they wanted to hangout, they conceived the idea of being able to press a button to send a hangout request to all of their friends. One a Sunday afternoon in a "One Direction" fueled coding session, they created the app. Within 48 hours, people around the world were using the app, even though it was only available as a link from Viswanathan's Facebook. Down To Lunch rapidly started being used by students at colleges around the country, sometimes growing to be used by more than 15% of a college campus within 24 hours without any marketing. The app rose to be the #1 app in the App Store social category and #2 overall. Down To Lunch was featured in The New York Times, the front page of Yahoo, Forbes, Business Insider, TechCrunch, and other international media publications. The New York Times featured a front page cover story about Down To Lunch in their business section on April 20, 2016.
Alchemy
Dubbed the "Microsoft of Blockchain" by the press, Alchemy was started by Viswanathan and his cofounder Joseph Lau to provide the platform that enables developers to create great blockchain applications. Alchemy powers 4 million users in 200 countries per week and has been covered by over 50 press features including Wired, Bloomberg, TechCrunch, Yahoo Finance, and many others. The company announced $15 million in funding from Stanford University, Samsung, Pantera Capital, |
https://en.wikipedia.org/wiki/Pinebook | The Pinebook is a low-cost notebook developed by Hong Kong-based computer manufacturer Pine64. The Pinebook was announced in November 2016 and production started in April 2017. It is based on the platform of Pine64's existing Pine A64 single board computer, costing US$89 or US$99 for the 11.6" and 14" model respectively. Its appearance resembles the MacBook Air. The Pinebook is sold "at-cost" by Pine64 as a community service.
Hardware
Unlike traditional notebooks, Pinebook uses an ARM CPU rather than x86. It uses the Allwinner Technology A64 SoC, containing quad ARM 1.2 GHz Cortex-A53 cores and Mali-400 MP2 GPU, together with 2 GB RAM LPDDR3 and a 10,000mAh battery. Instead of a hard disk drive, it uses 16 GB of eMMC 5.0 flash memory, expandable to 64 GB. The storage capacity can be further extended using the microSD card slot (up to 256 GB).
It supports WiFi 802.11b/g/n and Bluetooth 4.0 wireless networks, has 2 USB 2.0 ports, 1 mini HDMI port and a headphone jack. It also contains 2 downward-facing speakers. The display is an IPS LCD with a resolution of 1366 x 768. The device weighs 1.04 kg (11.6"), or 1.26 kg (14") respectively.
Software
The Pinebook supports Linux and Android operating systems. As of 2019, the Pinebook can be run on free software in the form of RISC OS and Linux. Common choices include Manjaro, Arch, Debian, Armbian, BSD, Gentoo, Fedora, OpenSUSE, and Q4OS. Support for most hardware has been merged into the kernel mainline as of 4.19, with other drivers slowly trickling in.
Gallery
See also
PinePhone
PineTab
Open-source hardware
References
External links
Pinebook homepage
Unboxing the Pinebook64
Laptops
Single-board computers
2017 introductions |
https://en.wikipedia.org/wiki/Pascal%20Maeder | Pascal Maeder is a Swiss-Canadian film producer and cyberneticist.
In 2020, he launched x-ode, an XR messaging app enabling its users to connect with one another based on shared experiences in the real world. The app was developed by Urbanoid, a technology company founded by Maeder with hubs in Switzerland and Canada.
Maeder had previously founded Atopia, a film production company through which he produced and released several feature films including S.P.I.T.: Squeegee Punks In Traffic (2001), A Silent Love (2004) and Je me souviens (2009).
Maeder studied film production at Concordia University in the late 1980s before co-founding Dummies Theatre, an experimental and interdisciplinary theatre company known for creating free site-specific works in vacant stores in Montreal during the 1990s.
References
External links
atopia.com archived website
urbanoid.com website
1965 births
Living people
Cyberneticists
Film producers from Quebec
Concordia University alumni
Mass media people from Montreal |
https://en.wikipedia.org/wiki/PyTorch | PyTorch is a machine learning framework based on the Torch library, used for applications such as computer vision and natural language processing, originally developed by Meta AI and now part of the Linux Foundation umbrella. It is free and open-source software released under the modified BSD license. Although the Python interface is more polished and the primary focus of development, PyTorch also has a C++ interface.
A number of pieces of deep learning software are built on top of PyTorch, including Tesla Autopilot, Uber's Pyro, Hugging Face's Transformers, PyTorch Lightning, and Catalyst.
PyTorch provides two high-level features:
Tensor computing (like NumPy) with strong acceleration via graphics processing units (GPU)
Deep neural networks built on a tape-based automatic differentiation system
History
Meta (formerly known as Facebook) operates both PyTorch and Convolutional Architecture for Fast Feature Embedding (Caffe2), but models defined by the two frameworks were mutually incompatible. The Open Neural Network Exchange (ONNX) project was created by Meta and Microsoft in September 2017 for converting models between frameworks. Caffe2 was merged into PyTorch at the end of March 2018. In September 2022, Meta announced that PyTorch would be governed by PyTorch Foundation, a newly created independent organizationa subsidiary of Linux Foundation.
PyTorch 2.0 was released on 15 March 2023.
PyTorch tensors
PyTorch defines a class called Tensor (torch.Tensor) to store and operate on homogeneous multidimensional rectangular arrays of numbers. PyTorch Tensors are similar to NumPy Arrays, but can also be operated on a CUDA-capable NVIDIA GPU. PyTorch has also been developing support for other GPU platforms, for example, AMD's ROCm and Apple's Metal Framework.
PyTorch supports various sub-types of Tensors.
Note that the term "tensor" here does not carry the same meaning as tensor in mathematics or physics. The meaning of the word in machine learning is only tangentially related to its original meaning as a certain kind of object in linear algebra.
Example
The following program shows the low-level functionality of the library with a simple example
import torch
dtype = torch.float
device = torch.device("cpu") # This executes all calculations on the CPU
# device = torch.device("cuda:0") # This executes all calculations on the GPU
# Creation of a tensor and filling of a tensor with random numbers
a = torch.randn(2, 3, device=device, dtype=dtype)
print(a) # Output of tensor A
# Output: tensor([[-1.1884, 0.8498, -1.7129],
# [-0.8816, 0.1944, 0.5847]])
# Creation of a tensor and filling of a tensor with random numbers
b = torch.randn(2, 3, device=device, dtype=dtype)
print(b) # Output of tensor B
# Output: tensor([[ 0.7178, -0.8453, -1.3403],
# [ 1.3262, 1.1512, -1.7070]])
print(a*b) # Output of a multiplication of the two tensors
# Output: tensor([[-0.8530, -0.7183, 2.58],
# [-1.1692, 0. |
https://en.wikipedia.org/wiki/Chunming%20Qiao | Chunming Qiao is a Distinguished Professor and Computer Science and Engineering Department chairman at University at Buffalo, and an Elected Fellow of the IEEE.
Education
Qiao earned his undergrad degree from University of Science and Technology of China.
In 1983, Qiao earned a PhD in Computer Science from University of Pittsburgh.
Career
In 1997, Qiao is the pioneer of Optical Burst Switching (OBS).
In 2016, University at Buffalo and its partners received a $1.2 million grant from National Science Foundation to create a research facility to study self-driving cars. The research platform is known as iCAVE2. The project is led by Qiao.
As of 2018, Qiao has seven patents.
Qiao is the Department Chairman of the Computer Science and Engineering Department at University at Buffalo.
References
External links
Year of birth missing (living people)
Living people
Fellow Members of the IEEE
21st-century American engineers
University at Buffalo faculty
University of Science and Technology of China alumni
University of Pittsburgh alumni
American electrical engineers |
https://en.wikipedia.org/wiki/Hua-Wei%20Zhou | Hua-wei Zhou (; born 1957) is an American geophysicist, focusing in earthquake seismology, exploration geophysics, digital data processing, geodynamics and seismic tomography, currently the Margaret S. Sheriff College Professorship in Geophysics at University of Houston and formerly the Joe Pevehouse Endowed Chair at Texas Tech University.
Early life
Zhou was born in Beijing in 1957. After his high school graduation in 1974, he worked at the Jiangsu Geological Survey Office before gaining admission to the Wuhan College of Geology (now the China University of Geosciences) in the 1977 examinations. He completed a B.S. in mathematics there in 1980 before going on the California State University, Long Beach for his M.S. in geology (1984) and the California Institute of Technology for his Ph.D. (1989).
References
1957 births
Living people
University of Houston faculty
American geophysicists
California Institute of Technology alumni
California State University, Long Beach alumni
China University of Geosciences alumni
Chinese emigrants to the United States
Scientists from Beijing |
https://en.wikipedia.org/wiki/David%20J.%20Francis%20%28academic%29 | David J. Francis is an American psychologist, focusing in statistical models for longitudinal data, multi-level models, latent variable models, psychometrics, reading acquisition and the early identification and prevention of reading disabilities and developmental disabilities, currently the Hugh Roy and Hugh Roy and Lillie Cranz Cullen Distinguished University Chair at University of Houston.
References
Year of birth missing (living people)
Living people
University of Houston faculty
21st-century American psychologists
University of Houston alumni |
https://en.wikipedia.org/wiki/The%20Jellies%21 | The Jellies! is an American adult animated sitcom created by Tyler, the Creator and Lionel Boyce for Cartoon Network's late-night programming block Adult Swim. The show was revamped from a series of the same name which was previously featured exclusively on Tyler's Golf Media app. It premiered on Adult Swim on October 22, 2017. The animation is produced by Augenblick Studios, and was renewed for a second season in October 2018. The second season premiered on May 12, 2019.
On August 17, 2021, voice actor Earl Skakel announced that Adult Swim cancelled the show after two seasons.
Plot
The show follows a family of anthropomorphic jellyfish and their 16-year-old human son Cornell. When the boy learns he was adopted at birth, he is shocked, and subsequently spirals out of control in an attempt to "find himself." As a result, he and his family and friends wind up in what the network bills as "uncanny situations."
Cast
Phil LaMarr as Cornell Jelly
Earl Skakel as Barry Jelly
AJ Johnson as Debbie Jelly
Blake Anderson as RG
Kevin Michael Richardson as Reggie
Kilo Kish as KY Jelly
Tyler, The Creator as various
Jasper Dolphin as various
Lionel Boyce as various
Travis Bennett as various
Episodes
Series overview
Web series (2015)
The series premiered as a web series on the Golf Media app and released new episodes every Sunday in October 2015. There are a few differences between the web series and the Adult Swim series such as Cornell's race (Caucasian in the Golf Media version; African-American in the Adult Swim version).
Season 1 (2017)
Season 2 (2019)
References
External links
2010s American adult animated television series
2010s American black cartoons
2017 American television series debuts
2019 American television series endings
2010s American black sitcoms
American adult animated comedy television series
American animated sitcoms
American flash adult animated television series
American television series with live action and animation
English-language television shows
Adult Swim original programming
Animated television series about dysfunctional families
Animated television series about fish
Teen animated television series
Television series by Williams Street
Television shows set in Washington (state)
Tyler, the Creator |
https://en.wikipedia.org/wiki/Tony%20Vinciquerra | Anthony "Tony" Vinciquerra (born August 30, 1954) is an American film executive who is the current Chairman and CEO of Sony Pictures Entertainment. He was previously president and CEO of Fox Networks Group.
Early life
Vinciquerra was born in Albany, New York, and grew up with three sisters in a two-bedroom apartment. He performed various odd jobs in his youth, and began working in radio ad sales in college. He graduated from University at Albany in 1977.
Career
CBS, Heart-Argyle, and Fox
Vinciquerra began his career in television broadcasting ad sales at local stations and later CBS, and was named COO of Hearst-Argyle Television in 1999. He joined Fox in December 2001 as president of the Fox Television Network. In 2002, he was named president and CEO of Fox Networks Group, which included Fox Cable Networks, Fox Broadcasting, Fox Sports, and Fox International Channels, and he was named chairman in 2008. After leaving Fox in 2011, he spent time as an entertainment consultant and advisor at TPG Capital.
In 2009, Vinciquerra was inducted into the Broadcasting and Cable Hall of Fame. He has sat on the boards of directors at Univision, Pandora Media, Motorola Mobility, DirecTV, and Qualcomm.
Sony Pictures Entertainment
In May 2017, it was announced that Vinciquerra would be filling the role of CEO of Sony Pictures Entertainment, left vacant by Michael Lynton after he announced his departure for Snap Inc. Vinciquerra was hired to oversee the Sony Pictures Motion Picture Group, Sony Pictures Television and worldwide media networks. During his time there, he has increased the amount of collaboration between Sony divisions like the motion picture group and Sony Interactive Entertainment, which resulted in the development of productions like Uncharted (2022), The Last of Us, and Twisted Metal. He is credited with reversing a downward trend of film box office performances and strengthening the television division, leading a “dramatic turnaround” with five consecutive years of increasing profit and record-high operating income for the company.
In his role overseeing Sony Pictures Television, Vinciquerra was involved in the hirings of Mike Richards and Mayim Bialik as co-hosts of the television quiz show Jeopardy! in 2021 after the death of longtime host Alex Trebek. Before any of his episodes aired, Richards stepped down from his position after several insensitive comments made on his podcast emerged. Vinciquerra helped manage the resumed host search, which concluded in July 2022 with deals for Bialik and Ken Jennings as the show's rotating co-hosts.
During the 2023 SAG-AFTRA and WGA strike, he lobbied for the Alliance of Motion Picture and Television Producers to de-escalate negotiations and resume talks with the unions. He also advocated for writers' unions to "come to a common ground" with production companies on the use of generative AI in film and television production.
Personal life
In 2001, Vinciquerra moved to Los Angeles and met his wife, |
https://en.wikipedia.org/wiki/Rusty%20%28video%20game%29 | Rusty is an action video game developed and published by C-Lab in Japan in July 1993 for PC-98, Epson PC, and MS-DOS, with direction, writing and programming by Naoto Niida, production by Masayoshi Koyama, and music by Masahiro Kajihara, Kenichi Arakawa, and Ryu Takami.
The player plays as the vampire huntress Rusty who investigates the disappearance of a number of women, and travels through ten stages, fighting skeletons, monsters and boss characters with her whip and items. Critics and journalists frequently compared the game to the Castlevania series, some calling it a "clone", but still reviewed it favourably; Hardcore Gaming 101 called it a gem that everyone should play, and GamesVillage.it called it among the best game of all Castlevania clones. Although it was not published in English, it was unofficially translated by a ROM hacking group in 2017.
Gameplay
Rusty is a side-scrolling action game in which the player takes the role of Rustea "Rusty" Sprincul, a vampire huntress who together with her owl companion investigates a case of women who have disappeared from various villages in the countryside. The player fights against enemies such as skeletons, zombies, and many other monsters, as well as the large boss characters by using the player character's whip and items they find in the stages; additionally, the player's owl companion helps the player by attacking enemies for them. By jumping and attacking at the same time, the player can use the Mind Slasher - which is a "power crash" move that differs depending on what power-up they are currently using; these moves include slowing down time, shooting exploding energy balls, or becoming temporarily invulnerable. In addition to its use as a weapon, the player can also use the whip to swing from golden rings found in some of the stages.
The game consists of ten stages, of which eight are based around finding keys to unlock doors; the seventh stage involves quickly making one's way through the area, and the tenth is a boss-only stage. Stage designs are non-linear, with paths that loop around, and alternative routes with hidden rewards for the player to find. However, in contrast to the game's stage design, a timer is included. The stages include a village, a graveyard, a manor, a cathedral tower, a cavern, a water-filled labyrinth, a courtyard, a clocktower, and Bloodsoon Castle - itself divided into several stages. Every stage ends with a fight against one of the bosses.
Plot
Many women have been abducted from various villages throughout a European countryside, and have been transformed by demon possession into hideous monsters, who are known as the Eight Fiends. Responsible for performing the sacrilegious act is Bloody Mary, a vampiress who is Queen of Bloodthorne Castle. Assisting her is a mysterious masked hunter named Gateau. Along with creating monsters, the two are also using the blood of women to resurrect the ancient vampire Monte Carlo, the Master of Bloodsoon Castle who has been |
https://en.wikipedia.org/wiki/Lightning%20Network | The Lightning Network (LN) is a "layer 2" payment protocol built on the Bitcoin blockchain and those of other cryptocurrencies. It is intended to enable fast transactions among participating nodes (independently run members of the network) and has been proposed as a solution to the bitcoin scalability problem. It is a peer-to-peer system for making micropayments of cryptocurrency through a network of bidirectional payment channels, without delegating custody of funds.
Transacting parties use the Lightning Network by opening a payment channel and transferring (committing) funds to the relevant layer-1 blockchain (e.g. Bitcoin) under a smart contract. The parties then make any number of off-chain Lightning Network transactions that update the tentative distribution of the channel's funds, without broadcasting to the blockchain. Whenever the parties have finished their transaction session, they close the payment channel, and the smart contract distributes the committed funds according to the transaction record.
To initiate closing, one node first broadcasts the current state of the transaction record to the network, including a proposed settlement, a distribution of the committed funds. If both parties confirm the proposal, the funds are immediately paid on-chain. The other option is uncooperative closure, for example if one node has dropped from the network, or if it is broadcasting an incorrect (possibly fraudulent) transaction state. In this case settlement is delayed during a dispute period, when nodes may contest the proposal. If the second node broadcasts a more up-to-date timestamped distribution, including some transactions omitted by the first proposal, then all committed funds are transferred to the second node: this punitive breach remedy transaction thwarts attempts to defraud the other node by broadcasting out-of-date transactions.
History
Joseph Poon and Thaddeus Dryja published a Lightning Network white paper in February 2015.
2019 Bitcoin Lightning Torch
On January 19, 2019, pseudonymous Twitter user hodlonaut began a game-like promotional test of the Lightning Network by sending 100,000 satoshis (0.001 bitcoin) to a trusted recipient where each recipient added 10,000 satoshis ($0.34 at the time) to send to the next trusted recipient. The "lightning torch" payment reached notable personalities including Twitter CEO Jack Dorsey, Litecoin Creator Charlie Lee, Lightning Labs CEO Elizabeth Stark, and Binance CEO "CZ" Changpeng Zhao, among others.
Design
Andreas Antonopoulos calls the Lightning Network a second layer routing network. The payment channels allow participants to transfer money to each other without having to make all their transactions public on the blockchain. This is secured by penalizing uncooperative participants. When opening a channel, participants must commit an amount on the blockchain (a funding transaction). Time-based script extensions like CheckSequenceVerify and CheckLockTimeVerify make the penalties pos |
https://en.wikipedia.org/wiki/Valeria%20De%20Antonellis | Valeria De Antonellis is Professor Emeritus at University of Brescia, Italy, since February 2021. Previously she was a professor of computer science and engineering at University of Brescia, Italy, where she led the research group on "Databases, Information Systems and Web" at Department of Information Engineering.
Academic career
She is an Italian computer scientist and has done extensive research on conceptual modeling, database and information system design. Research interests include Semantic Web: Data, Services and Applications; Big and Open Data exploration in Web Oriented Architecture.
She authored of over 200 papers on computer science related topics. She has been working within several European and National research projects, coordinating parts of or whole projects.
In particular, she led the DATAID research project originating the DATAID-1 methodology for the analysis, design and realization of database systems.
At University of Brescia she was Rector's Delegate for both ICT and University Library System (2010-2016).
She was Head of the PhD program in "Information Engineering" (2000-2006) and led its transformation into the PhD Program in "Computer Science, Engineering and Systems Control" (2007-2011).
References
Data modeling
Italian computer scientists
Italian women computer scientists
Year of birth missing (living people)
Living people |
https://en.wikipedia.org/wiki/Trans%20European%20Policy%20Studies%20Association | The Trans European Policy Studies Association (TEPSA) is a European network of research institutes and think-tanks in the field of European affairs. Founded in 1974, it is an international nonprofit association under Belgian law with 44 member organisations in 37 different European countries, and an office in Brussels.
History
TEPSA was founded in 1974 by four research institutes: the Institut für Europaische Politik (Germany), the Istituto Affari Internazionali (Italy), the Federal Trust for Education and Research (UK) and the Association Française pour l’Etude de l’Union Européenne (France). In 1978, upon the accession of its Belgian member, Prof. Jacques Vandamme, former adviser to Belgian Prime minister Leo Tindemans, was designated president of the association.
TEPSA progressively extended its membership to 20 institutes in the year 2000. In 2016, full membership was opened to organizations from all European countries outside the European Union, allowing TEPSA to expand to 38 members in 2017. The current Chairman of the TEPSA board is Prof. (University of Duisburg-Essen), succeeding to Prof. Wolfgang Wessels (University of Cologne).
In 2016, TEPSA was ranked as 12th best think-tank network by the University of Pennsylvania’s Global Go To Think Tank Index Report, an annual ranking of the world’s best think-tanks.
Aims and activities
TEPSA aims at maintaining a stable framework for transnational research cooperation in the field of European affairs, and providing new opportunities for academics and students in the field, mainly through EU-funded research and education projects. With one member in each EU country and members in EFTA, Eastern Neighborhood and candidate countries, but also a number of associate members, TEPSA seeks to stimulate discussion on policy options for Europe by bringing together academics and students from across the continent, and connecting them with practitioners and policymakers.
Since its founding in 1974, TEPSA organises a conference twice a year with academics and policymakers on the agenda of the upcoming presidency of the Council of the European Union (the Pre-Presidency Conference), where it delivers a set of recommendations to representatives of the presiding member state. The conference is jointly organised with and hosted by the member organisation in the concerned country.
TEPSA also regularly delivers its members' expertise to the European Parliament in briefings and studies.
TEPSA members
Full members
Associate members
Governance
Board members
Honorary board members
References
International organisations based in Belgium |
https://en.wikipedia.org/wiki/Lauterbourg%20station | Lauterbourg station () is a railway station in the town of Lauterbourg in the département of Bas-Rhin in the French region of Grand Est.
It is on the SNCF and the TER Grand Est networks and is served by regional express trains. As a border station, it is also served by Deutsche Bahn trains.
Location
Lauterbourg station is 111 metres above sea level and located at kilometric point 55.493 on the line from Strasbourg to Lauterbourg, between Mothern and the Franco-German border. It is connected to the German railway network by the Bienwaldbahn (Bienwaldbahn).
It is at the junction to the short Lauterbourg Port railway and was the terminus of the former Lauterbourg–Wissembourg railway.
History
Construction of the Lauterbourg railway station began in 1874 after the German Empire annexed Alsace-Lorraine in 1871. The line from Strasbourg to Lauterbourg was opened on 25 July 1876 by the Imperial Railways in Alsace-Lorraine (Kaiserliche Generaldirektion der Eisenbahnen in Elsaß-Lothringen).
In 1900, the station was enlarged for the opening of the new Lauterbourg–Wissembourg railway, which was put in service on 1 July of the same year.
The Riviera-Express of the Compagnie des wagons-lits, connecting Berlin to Nice via Frankfurt, served the station from 3 December 1900. It was abandoned when the First World War broke out
On 19 June 1919, the station became part of the network of the Administration des chemins de fer d'Alsace et de Lorraine (AL), as a result of the Allied victory in the First World War.
The station was extended in 1920; the work included the building of a customs office.
On 1 January 1938, the SNCF took control of the railway installations of Lauterbourg. However, after the annexation of Alsace-Lorraine by Germany on 1 July 1940 during the Second World War, Deutsche Reichsbahn controlled the station and held it until the liberation of France (in 1944 –1945).
Passenger services towards Wissembourg ended on 1 October 1947.
Lauterbourg also had a minor locomotive depot.
In 2014, the SNCF estimated the number of passengers using the station at 22,502 passengers.
Passenger services
Facilities
The station is unstaffed and has open access to the platforms. It is equipped with a ticket machine for the purchase of regional tickets. There is an island platform and a side platform serving three tracks.
Services
Lauterbourg is a stop on the TER Alsace network, served by regional express trains on the Strasbourg-Ville–Lauterbourg route.
It is also served by German regional trains (Regionalbahn) of the Wörth (Rhein)–Lauterbourg route.
Other modes
There is parking for bikes and vehicles at the station.
It is served by the buses of autocars TER on the Rœschwoog (station)–Seltz (station)–Lauterbourg (station) route and the interurban buses of Réseau 67 on the Lauterbourg–Wissembourg route (line 314).
References
Railway stations in Bas-Rhin
Railway stations in France opened in 1876 |
https://en.wikipedia.org/wiki/WannaCry%20ransomware%20attack | The WannaCry ransomware attack was a worldwide cyberattack in May 2017 by the WannaCry ransomware cryptoworm, which targeted computers running the Microsoft Windows operating system by encrypting data and demanding ransom payments in the Bitcoin cryptocurrency. It propagated by using EternalBlue, an exploit developed by the United States National Security Agency (NSA) for Windows systems. EternalBlue was stolen and leaked by a group called The Shadow Brokers a month prior to the attack. While Microsoft had released patches previously to close the exploit, much of WannaCry's spread was from organizations that had not applied these, or were using older Windows systems that were past their end-of-life. These patches were imperative to organizations' cyber security but many were not implemented due to ignorance of their importance. Some have claimed a need for 24/7 operation, aversion to risking having formerly working applications breaking because of patch changes, lack of personnel or time to install them, or other reasons.
The attack began at 07:44 UTC on 12 May 2017 and was halted a few hours later at 15:03 UTC by the registration of a kill switch discovered by Marcus Hutchins. The kill switch prevented already infected computers from being encrypted or further spreading WannaCry. The attack was estimated to have affected more than 300,000 computers across 150 countries, with total damages ranging from hundreds of millions to billions of dollars. At the time, security experts believed from preliminary evaluation of the worm that the attack originated from North Korea or agencies working for the country. This was confirmed in December 2017, when the United States and United Kingdom formally asserted that North Korea was behind the attack, although North Korea has denied any involvement with the attack.
A new variant of WannaCry forced Taiwan Semiconductor Manufacturing Company (TSMC) to temporarily shut down several of its chip-fabrication factories in August 2018. The worm spread onto 10,000 machines in TSMC's most advanced facilities.
Description
WannaCry is a ransomware cryptoworm, which targeted computers running the Microsoft Windows operating system by encrypting (locking) data and demanding ransom payments in the Bitcoin cryptocurrency. The worm is also known as WannaCrypt, Wana Decrypt0r 2.0, WanaCrypt0r 2.0, and Wanna Decryptor. It is considered a network worm because it also includes a transport mechanism to automatically spread itself. This transport code scans for vulnerable systems, then uses the EternalBlue exploit to gain access, and the DoublePulsar tool to install and execute a copy of itself. WannaCry versions 0, 1, and 2 were created using Microsoft Visual C++ 6.0.
EternalBlue is an exploit of Microsoft's implementation of their Server Message Block (SMB) protocol released by The Shadow Brokers. Much of the attention and comment around the event was occasioned by the fact that the U.S. National Security Agency (NSA) (from |
https://en.wikipedia.org/wiki/Gerardo%20Reyes%20%28journalist%29 | Gerardo Reyes Copello (born 1958, Cúcuta, Colombia) is an investigative journalist. He works as director of the investigative unit of Univision Network. He worked at El Nuevo Herald in Miami, Florida. In The Miami Herald, he won a shared Pulitzer prize in 1999.
Career
Education
Reyes studied law in Bogotá.
Trajectory
Gerardo Reyes Copello, born 1958 is a Colombian investigative journalist who leads the investigative team of Univision Network. For more than 30 years, Reyes has devoted himself to investigate corruption schemes in Latin America and the ramifications in the United States of those schemes.
Besides exposing nexus between politicians and drug trafficking, he has dedicated several of his reports to the study of Latin American magnates and the concentration of the wealth in the region.
His individual and collective works have been recognized with the most prestigious journalism awards in Spanish and English, such as the Pulitzer Prize, Maria Moors Cabot, Peabody Award, three Emmy Awards, IRE for investigations and Ortega y Gasset and Planeta.
"Its subject matter is power in all its expressions: politicians, businessmen, officials and police. But also mafia bosses, murderers and corrupt bureaucrats. Reyes unusually combines investigative rigor with good pen '', wrote Lorenzo Morales in the book "Facts for Telling".
He has been dedicated to investigative Journalism since 1978.
In Bogota, Colombia, he was a member of the revolutionary investigative unit of the newspaper El Tiempo, one of the first teams of this type in the hemisphere.
After moving to The Miami Herald and El Nuevo Herald, he published a series of reports highlighting issues ranging from medical malpractice and electoral fraud to drugs and arms trafficking.
He wrote the first systematic guide in Spanish of investigative journalism methods.
He is co-founder of Journalists and Research Editors, an organization through which he has promoted transnational collaboration among his colleagues.
The Beginnings
Gerardo Reyes Copello graduated from Law School at the Santo Tomas de Aquino University in Bogota. His first incursions into journalism began in 1978, as an investigator of Propúblicos, a Bogota foundation that supervised the work of congressmen in matters of bills, assistance and debates.
The results of this review were published by the prominent journalist Daniel Samper Pizano in the newspaper El Tiempo, and then compiled in two guides for voters.
By that time, Samper founded the investigative unit of El Tiempo, along with Alberto Donadio, an expert lawyer of information access rights.
Both journalists invited Reyes to work on the team that, for over a decade, uncovered numerous official and financial corruption scandals and was emulated by other newspapers in Colombia and Latin America. As part of this team, Reyes published a series that documented bribes paid by the multinational Ericcson to several telecommunications officials in Colombia, Venezuela, Peru a |
https://en.wikipedia.org/wiki/EternalBlue | EternalBlue is a computer exploit developed by the U.S. National Security Agency (NSA). It was leaked by the Shadow Brokers hacker group on April 14, 2017, one month after Microsoft released patches for the vulnerability.
On May 12, 2017, the worldwide WannaCry ransomware used this exploit to attack unpatched computers. On June 27, 2017, the exploit was again used to help carry out the 2017 NotPetya cyberattack on more unpatched computers.
The exploit was also reported to have been used since March 2016 by the Chinese hacking group Buckeye (APT3), after they likely found and re-purposed the tool, as well as reported to have been used as part of the Retefe banking trojan since at least September 5, 2017.
EternalBlue was among the several exploits used, in conjunction with the DoublePulsar backdoor implant tool, in executing the 2017 WannaCry attacks.
Details
EternalBlue exploits a vulnerability in Microsoft's implementation of the Server Message Block (SMB) protocol. This vulnerability is denoted by entry in the Common Vulnerabilities and Exposures (CVE) catalog. The vulnerability exists because the SMB version 1 (SMBv1) server in various versions of Microsoft Windows mishandles specially crafted packets from remote attackers, allowing them to remotely execute code on the target computer.
The NSA did not alert Microsoft about the vulnerabilities, and held on to it for more than five years before the breach forced its hand. The agency then warned Microsoft after learning about EternalBlue's possible theft, allowing the company to prepare a software patch issued in March 2017, after delaying its regular release of security patches in February 2017. On Tuesday, March 14, 2017, Microsoft issued security bulletin MS17-010, which detailed the flaw and announced that patches had been released for all Windows versions that were currently supported at that time, these being Windows Vista, Windows 7, Windows 8.1, Windows 10, Windows Server 2008, Windows Server 2012, and Windows Server 2016.
Many Windows users had not installed the patches when, two months later on May 12, 2017, the WannaCry ransomware attack used the EternalBlue vulnerability to spread itself. The next day (May 13, 2017), Microsoft released emergency security patches for the unsupported Windows XP, Windows 8, and Windows Server 2003.
In February 2018, EternalBlue was ported to all Windows operating systems since Windows 2000 by RiskSense security researcher Sean Dillon. EternalChampion and EternalRomance, two other exploits originally developed by the NSA and leaked by The Shadow Brokers, were also ported at the same event. They were made available as open sourced Metasploit modules.
At the end of 2018, millions of systems were still vulnerable to EternalBlue. This has led to millions of dollars in damages due primarily to ransomware worms. Following the massive impact of WannaCry, both NotPetya and BadRabbit caused over $1 billion worth of damages in over 65 countries, using Eter |
https://en.wikipedia.org/wiki/Srikant%20Datar | Srikant Datar is an Indian-American economist and the Dean of Harvard Business School. At Harvard, he concurrently serves as the Arthur Lowes Dickinson Professor of Business Administration.
Early life
Datar attended the Cathedral and John Connon School in Mumbai. He graduated with distinction in mathematics and economics from St. Xavier's College, University of Mumbai in 1973. At IIM Ahmedabad, he was a gold medalist and the General Secretary of the Student's Council (1977–78). He is a chartered accountant and holds two master's degrees and a doctorate from Stanford University.
Career
Since 2015, he has been faculty chair of the Harvard Innovation Labs and Senior Associate Dean for University Affairs at Harvard Business School. He is a member of the boards of directors of ICF International, Stryker Corporation, and T-Mobile US, all in the US, and of IIM Calcutta. He previously served on the boards of IIM Ahmedabad, HCL Technologies (2012 to 2014) and KPIT Technologies (2007 to 2012), both based in India. Datar is also part of the governing body of S. P. Jain Institute of Management and Research.
Datar has worked as an accountant and planner in industry and as a professor at Carnegie Mellon University, Stanford University, and Harvard University. His research interests are in the areas of cost management, measurement of productivity, governance, new product development, innovation, time-based competition, incentives, and performance evaluation. He is the author of many publications and has received several academic awards and honors. In 2021, he was the winner of the 2021 Bharat Asmita Acharya Shreshtha Award from Maharashtra Academy of Engineering and Education Research (MAEER) and in 2020 he was honored as the 2020 Public Company Director of the Year by the National Association of Corporate Directors (NACD).
Datar has also advised numerous companies in research, development, and training.
Awards
In 2021, he was awarded the Padma Shri, the fourth-highest civilian award in India.
In 2022, the International Institute of New England (IINE) announced Dr. Srikant Datar as the recipient of the 41st Golden Door Award.
References
Bibliography
Year of birth missing (living people)
Living people
Harvard Business School faculty
American economists
St. Xavier's College, Mumbai alumni
Indian Institute of Management Ahmedabad alumni
Stanford University alumni
Recipients of the Padma Shri in literature & education
American people of Indian descent
American university and college faculty deans
Cathedral and John Connon School alumni |
https://en.wikipedia.org/wiki/NJFX | NJFX, also known as New Jersey Fiber Exchange, is a Wall Township, NJ-based data center and subsea cable landing station operator. The company offers Tier 3 data center, meet-me room and colocation services, and a cable landing station on a 58 acre campus.
History
NJFX was founded by Gil Santaliz, a telecommunications executive who in 2008 sold metro dark fiber provider 4Connections to Optimum Lightpath, a subsidiary of NY cable operator Cablevision (now Altice USA). Tata Communications was a founding partner of NJFX.
NJFX opened a meet-me room (MMR) within Tata Communication's Wall, NJ subsea cable landing station (CLS). One of Tata's cables terminating in the cable landing station is the Seabras-1 undersea cable, which links North America and Brazil, with a landing point in Sao Paulo. Tata's TGN Atlantic subsea cable also lands in Wall Township, connecting to Highbridge, Somerset, United Kingdom. As the MMR operator, NJFX managed the network connections between its own customers and those of Tata Communication's CLS.
In September 2015, NJFX announced they would be constructing a 64,000 sq ft Tier III data center adjacent to Tata's CLS, providing direct access to their European and South America subsea cables. Design would be done by Boston-based Bala Consulting Engineers.
In January 2016, voice and data network provider Windstream announced it was extending its 100 Gigabit Ethernet (100G) network from NJFX's presence at the CLS to Ashburn, Virginia's Internet hub.
In January 2017, its Tier III center was completed. In March, NJFX announced they were adding an additional data center on their campus.
In September 2018, the company announced that the HAVFRUE transatlantic submarine network cable would be landing at its Wall, NJ cable landing station. The cable was planned to run between New Jersey and Denmark, with branches to Norway and Ireland.
In March 2019, Amazon Web Services signed an agreement with Norwegian infrastructure company Bulk Infrastructure to use the upcoming HAVFRUE cable at its United States termination points at NJFX's campus, along with termination points at Dublin, Norway and Western Denmark.
In December 2020, the 7851km HAVFRUE cable went into service as the first new undersea cable traveling from Northern Europe to the US in nearly 20 years. It terminated at the NJFX facility in Wall, NJ, and its capacity services were marketed by operator Aqua Comms under the name American Europe Connect-2 (AEC-2).
Services
NJFX operates a data center campus in Wall Township, NJ, offering meet-me room, data center and colocation services to business customers. The center is adjacent to a substation operated by Jersey Central Power & Light (JCP&L), a subsidiary of energy giant FirstEnergy. The NJFX campus also contains a cable landing station serving several subsea cables, including the HAVFRUE AEC-2 cable connecting to Northern Europe, as well as Tata's TGN1 and TGN2 cables, and Seaborn Networks' Seabras cable. Notable |
https://en.wikipedia.org/wiki/Sarvagunakar%20Srimanta%20Sankardeva | Sarvagunakar Srimanta Sankardeva is an Indian Assamese language 2D Computer animation biographical film directed by Manju Borah , Director of Animation and all animation work was single-handedly done by Dr. Gautam k. Das at "24 illusion factory", animation studio, Guwahati, and produced by Sanjive Narain under the banner of AM Television. This is a story about the life of Assam's Great saint Srimanta Sankardeva. This is the first Assamese-language animated film.
Cast
Ranjan Bezbaruah as Srimanta Sankardeva
Rajiv Bhattacharjya as Madhabdev
Upakul Bordoloi
Moni Bordoloi
Lakshi Borthakur
Tarali Sarma
Arpana Dutta Choudhury
Pratibha Choudhury
Ujjal Khanikar
Amitav Rajkhowa
Satyen Sarma
Bibhuti Hazarika
References
Indian animated films
Films directed by Manju Borah
2010s Assamese-language films
Indian biographical drama films
2016 biographical drama films
Ekasarana Dharma |
https://en.wikipedia.org/wiki/Kuck | Kuck may refer to:
David Kuck (born 1937), American computer scientist
John Kuck (1905–1986), American athlete
Jonathan Kuck (born 1990), American speed skater
Wolfgang Kuck (born 1967), German volleyball player
See also
Johnny Kucks (1933–2013), American baseball player |
https://en.wikipedia.org/wiki/Labeled%20data | Labeled data is a group of samples that have been tagged with one or more labels. Labeling typically takes a set of unlabeled data and augments each piece of it with informative tags. For example, a data label might indicate whether a photo contains a horse or a cow, which words were uttered in an audio recording, what type of action is being performed in a video, what the topic of a news article is, what the overall sentiment of a tweet is, or whether a dot in an X-ray is a tumor.
Labels can be obtained by asking humans to make judgments about a given piece of unlabeled data. Labeled data is significantly more expensive to obtain than the raw unlabeled data.
Crowdsourced labeled data
In 2006 Fei-Fei Li, the co-director of the Stanford Human-Centered AI Institute, set out to improve the artificial intelligence models and algorithms for image recognition by significantly enlarging the training data. The researchers downloaded millions of images from the World Wide Web and a team of undergraduates started to apply labels for objects to each image. In 2007 Li outsourced the data labelling work on Amazon Mechanical Turk, an online marketplace for digital piece work. The 3.2 million images that were labelled by more than 49,000 workers formed the basis for ImageNet, one of the largest hand-labeled database for outline of object recognition.
Automated data labelling
After obtaining a labeled dataset, machine learning models can be applied to the data so that new unlabeled data can be presented to the model and a likely label can be guessed or predicted for that piece of unlabeled data.
Data-driven bias
Algorithmic decision-making is subject to programmer-driven bias as well as data-driven bias. Training data that relies on bias labeled data will result in prejudices and omissions in a predictive model, despite the machine learning algorithm being legitimate. The labelled data used to train a specific machine learning algorithm needs to be a statistically representative sample to not bias the results. Because the labeled data available to train facial recognition systems has not been representative of a population, underrepresented groups in the labeled data are later often misclassified. In 2018 a study by Joy Buolamwini and Timnit Gebru demonstrated that two facial analysis datasets that have been used to train facial recognition algorithms, IJB-A and Adience, are composed of 79.6% and 86.2% lighter skinned humans respectively.
References
Machine learning |
https://en.wikipedia.org/wiki/19th%20Annual%20Premios%20Gardel | The 19th Annual Premios Gardel ceremony were held on June 6, 2017. The TN network broadcast the show live from the Gran Rex Theatre in Buenos Aires. The ceremony recognizes the best recordings, compositions, and artists of the eligibility year, which runs from January 1, 2016 to January 31, 2016.
Lalo Mir and Maju Lozano hosted the ceremony. The "pre-telecast" ceremony was held on the same day at the Opera Allianz Theatre prior to the main event and was hosted by Gabriela Radice.
The nominations were announced on May 9, 2017 at the Néstor Kirchner Cultural Centre. Abel Pintos acquired the most nominations with five, while Carajo, Eruca Sativa and Illya Kuryaki and the Valderramas followed with three nominations each. Pintos was the biggest winner of the night with three trophies, including Best Male Pop Album the Golden Gardel Award for Album of the Year for 11, and Song of the Year for "Cómo Te Extraño". Eruca Sativa, Carajo and Babasónicos followed with two trophies each. The Solidarity Gardel Award went to León Gieco, for the video of his song "La memoria", which pays tribute to the victims at the AMIA bombing attack.
Background
The 2017 edition of the Gardel Awards received 1,500 applications, marking a 23% of increase regarding the 2016 edition, even though Universal, one of the major record companies, declined to submit its artists for award consideration. The genre that received the most nominations was rock, followed by folklore and pop.
Performers
Performers adapted from Clarín.com.
Nominees and winners
Nominees were taken from the Gardel Awards website. Winners are listed in bold.
General
Album of the Year
11 – Abel Pintos
3001 Proyecto Piazzolla – Elena Roger & Escalandrum
Naranja persa – Ciro y los Persas
Song of the Year
"Cómo Te Extraño" – Abel Pintos
"La noche" – Andrés Calamaro
"Armas gemelas" – Eruca Sativa
"Soy" – Lali
"La Tormenta" – Los Fabulosos Cadillacs
Best Singer-Songwriter Album
Auténtico – Alejandro Lerner
César Isella 60 - Todas las voces todas – César Isella
Canta Mateo y Darnauchans – Fernando Cabrera
Perdido por Perdido – Iván Noble
Mis Américas, Vol. 1/2 – Kevin Johansen + The Nada
Pop
Best Female Pop Album
Espinas & Pétalos – Marcela Morelo
Piel – Déborah De Corral
Soy – Lali
Best Male Pop Album
11 – Abel Pintos
Vida Lejana – Benjamín Amadeo
Last Call – Maxi Trusso
Best Pop Group Album
Las antenas – Estelares
Era Es Será – Barco
Ojos tremendos – Los Tipitos
Best New Pop Artist Album
Vida Lejana – Benjamín Amadeo
Antihéroe – Juanjo Ceccón
Continental – Sullivan
Rock
Best Female Rock Album
Sexo Con Modelos – Marilina Bertoldi
Se vuelve cada día más loca por amor al blues – Celeste Carballo
Señales – Patricia Sosa
Best Male Rock Album
Encuentro Supremo – David Lebón
Naranja persa – Ciro y los Persas
Contraluz – Pedro Aznar
Best Rock Group Album
Barro y Fauna – Eruca Sativa
La Salvación de Solo y Juan – Los Fabulosos Cadillacs
Vivo en Red House – Manal
Best New Rock Ar |
https://en.wikipedia.org/wiki/Felix%20Gers | Felix Gers is a professor of computer science at Berlin University of Applied Sciences Berlin. With Jürgen Schmidhuber and Fred Cummins, he introduced the forget gate to the long short-term memory recurrent neural network architecture. This modification of the original architecture has been shown to be crucial to the success of the LSTM at such tasks as speech and handwriting recognition.
References
Living people
Artificial intelligence researchers
German computer scientists
Year of birth missing (living people)
Place of birth missing (living people) |
https://en.wikipedia.org/wiki/Paul%20Nakasone | Paul Miki Nakasone (Japanese: 仲宗根ミキ Nakasone Miki, born November 19, 1963) is a four-star general in the United States Army who serves as the commander of United States Cyber Command. He serves concurrently as the director of the National Security Agency and as chief of the Central Security Service. Nakasone took command of the United States Second Army and Army Cyber Command in October 2016, until the Second Army's inactivation in March 2017. In May 2018, he became head of the National Security Agency, the Central Security Service and the United States Cyber Command.
Early life and education
Born in White Bear Lake, Minnesota. He is the son of Edwin M. Nakasone, a second-generation Japanese American and a retired United States Army colonel who served in the Military Intelligence Service during World War II, and Mary Anne Nakasone (née Costello). His paternal grandparents came from Misato village in the Nakagami District, Okinawa.
Nakasone grew up in White Bear Lake, Minnesota, and attended White Bear High School. He is married to Susan S. (née Sternberg), and has four (4) children. Nakasone attended St. John's University, where he received a commission as military intelligence officer in 1986 through the Army Reserve Officers' Training Corps program. Nakasone also attended the University of Southern California, the National Defense Intelligence College, and the United States Army War College, earning a Master's degree from each institution. He also is a graduate of the United States Army Command and General Staff College.
Military career
Nakasone has commanded at the company, battalion, and brigade levels. He also served in foreign assignments in Iraq, Afghanistan and Korea, and has served as a senior intelligence officer at the battalion, division, and corps levels. Nakasone served on the Joint Chiefs of Staff as deputy director for trans-regional policy in 2012 when he was promoted to the rank of brigadier general and previously served as a staff officer for General Keith B. Alexander.
Prior to promotion to lieutenant general in 2016, Nakasone was the deputy commanding general of United States Army Cyber Command and later commander of the Cyber National Mission Force at Cyber Command. Nakasone has twice served as a staff officer for the Joint Chiefs of Staff and was the director of intelligence, J2, for the International Security Assistance Force in Afghanistan. On October 14, 2016, he took command of the United States Second Army and United States Army Cyber Command. Nakasone was also given control of United States Cyber Command's Joint Task Force-ARES, a task-force designed to coordinate electronic counter-terrorist activities against the Islamic State. He served as commander of the Second Army until it was inactivated for the fourth time in its history on March 31, 2017, and continued to serve as commander of United States Army Cyber Command.
In January 2018, it was reported that Nakasone was on the list of potential replacements for |
https://en.wikipedia.org/wiki/Stephen%20W.%20Keckler | Stephen W. Keckler is an American computer scientist and the current Vice President of Architecture Research at NVIDIA.
Keckler received a BS in electrical engineering from Stanford University in 1990 and an MS and PhD in computer science from MIT in 1992 and 1998, respectively. He then joined the faculty at the University of Texas at Austin, where he served from 1998 to 2012. He joined NVIDIA in 2009. In 2003, he received the ACM Grace Murray Hopper Award for his work in leading the TRIPS architecture research group. He became an ACM Senior Member in 2006 and an ACM Fellow in 2011.
References
Living people
Stanford University School of Engineering alumni
MIT School of Engineering alumni
Grace Murray Hopper Award laureates
Fellows of the Association for Computing Machinery
Fellow Members of the IEEE
University of Texas at Austin faculty
Nvidia people
Year of birth missing (living people) |
https://en.wikipedia.org/wiki/RapidSOS | RapidSOS is an intelligent safety platform that securely links data to 9-1-1 and first responders. It connects more than 500 million devices directly to 15,000+ first responder agencies.
Founded in 2012 by Michael Martin and Nicholas Horelik, RapidSOS pairs with IoT companies to improve caller data accuracy in 9-1-1 centers. RapidSOS’ first product was the Haven mobile application. Since its foundation, the company has sent emergency data to 9-1-1 telecommunicators without users needing to use an app.
The company has introduced product offerings such as RapidSOS Connect, RapidSOS Portal, and RapidSOS Integrations. RapidSOS has working relations with companies like Apple, Axon, Uber, Google, Cove, Simplisafe, Sirius XM and MedicAlert to facilitate emergency response.
History
RapidSOS was founded in 2012 by Michael Martin and Nicholas Horelik to address the 911 data challenge. Martin had a personal experience with 9-1-1 connection difficulties when his father fell off of the roof of his home in Rockport, Indiana, breaking his wrist and shattering his hip. Martin's father could not reach 9-1-1 from his cellphone and was laying outside in freezing temperatures until his wife came home and called 9-1-1 from their landline. Also , Martin cites an experience he had after first moving to New York City, when he was followed closely by a man who had intentions to rob him. In wanting to call 9-1-1, he states that he "realized just how difficult it is in the middle of whatever your emergency is to get out your phone, dial a number, and have a coherent conversation about who you are, where you’re located, and what’s occurring."
RapidSOS’ first product was the smartphone app Haven. The app gave users the ability to see family members' real-time locations, "check in" to send their location to their loved ones, and call 9-1-1 on behalf of someone else, sending that person's location and personal information to the dispatch center closest to them.
From 2012 to 2015, RapidSOS studied the data from over 12 million 911 calls. From 2016 to 2017, RapidSOS began testing its platform with location data, working with Emergency Communication Centers (ECCs) across the country. In 2018, RapidSOS worked with Apple to allow U.S. iPhone users who call 911 to automatically and securely share their location data with first responders through the RapidSOS Platform. By the end of the year, RapidSOS partnered with Google to send Android ELS data through the RapidSOS Platform as well.
In March 2023, American online and mobile prepared food ordering and delivery platform Grubhub announced a partnership with RapidSOS. Grubhub announced that the partnership will improve the safety of its drivers via sharing dynamic location data as well as caller ID directly to 911 responders when an emergency call is placed via the Grubhub for Divers app.
Featured products
RapidSOS sends information from IoT devices and apps to public safety during emergencies.
RapidSOS Connect is an easy to |
https://en.wikipedia.org/wiki/Bertram%20Bruce | Bertram C. "Chip" Bruce is an American educator, information scientist, and computer scientist, whose recent research has focused on democratic education. He is currently Professor Emeritus in Information Science at the University of Illinois and previously a Fulbright Distinguished Chair at National College of Ireland.
Books
Eryaman, Mustafa Yunus, & Bruce, Bertram C. (editors) (2015). International handbook of progressive education. New York: Peter Lang. [833 pp.; pb.; hb.]
Bruce, Bertram C., Bishop, Ann Peterson, & Budhathoki, Nama R. (Eds.) (2014). Youth community inquiry: New media for community and personal growth (New Literacies and Digital Epistemologies series). New York: Peter Lang. [195 pp.; ]
Kapitzke, Cushla, & Bruce, Bertram C. (2006). Libr@ries: Changing information space and practice. Mahwah, NJ: Lawrence Erlbaum. [308 pp.; ]
Bruce, Bertram C. (Ed.) (2003). Literacy in the information age: Inquiries into meaning making with new technologies. Newark, DE: International Reading Association. [364 pp.; ]
Translated into Chinese by Huang, Jenn Jia & Chang, Shuling as 數 位時代的資訊素養 : 運用科技進行知識建構, or Information technology literacy at digital age: Knowledge construction with information technology. Taipei, Taiwan: Pro-Ed.
Alvermann, Donna E., Arrington, H. J., Bridge, C. A., Bruce, Bertram C., Fountas, I. C., Garcia, E., Paris, S. G., Ruiz, N. T., Schmidt, B. A., Searfoss, L. W., & Winograd, P. (1995). Teacher to teacher: A professional's handbook for the primary classroom. Lexington, MA: D. C. Heath. [218 pp.; ]
Alvermann, Donna E., Arrington, H. J., Bridge, C. A., Bruce, Bertram C., Fountas, I. C., Garcia, E., Paris, S. G., Ruiz, N. T., Schmidt, B. A., Searfoss, L. W., & Winograd, P. (1995). Teacher to teacher: A professional's handbook for the intermediate classroom. Lexington, MA: D. C. Heath. [218 pp.; ]
Bruce, Bertram C., & Rubin, Ann D. (1993). Electronic Quills: A situated evaluation of using computers for writing in classrooms. Hillsdale, NJ: Lawrence Erlbaum. [232 pp.; ] Held in 389 libraries according to WorldCat
Bruce, Bertram C., Peyton, Joy Kreeft, & Batson, Trent W. (Eds.). (1993). Network-based classrooms: Promises and realities. New York: Cambridge University Press. [302 pp.; ]
Bruce, Bertram C., Rubin, Andee, & Loucks, S. (1983). Quill teacher's guide. Andover, MA: The Network. [143 pp.]
Spiro, Rand J., Bruce, Bertram C., & Brewer, W. F. (Eds.). (1980). Theoretical issues in reading comprehension: Perspectives from cognitive psychology, linguistics, artificial intelligence, and education. Hillsdale, NJ: Lawrence Erlbaum. [586 pp.; ]
References
People associated with the National College of Ireland
University of Illinois faculty
American librarians
Living people
Place of birth missing (living people)
Year of birth missing (living people) |
https://en.wikipedia.org/wiki/Richard%20Engelbrecht-Wiggans | Richard Engelbrecht-Wiggans is an American economist, focusing in operations research, quantitative analysis of decisions and mathematical programming for management science and operations research, decision sciences, currently the IBE Distinguished Professor Emeritus at University of Illinois.
He graduated from Harvard College and Cornell University.
References
Bibliography
Year of birth missing (living people)
Living people
American economists
Harvard College alumni
Cornell University alumni
University of Illinois Urbana-Champaign faculty |
https://en.wikipedia.org/wiki/NEXEN%20%28platform%29 | NEXEN is a financial services platform developed by BNY Mellon. It features a web application, APIs, and data analytics tools to allow financial services clients to access the BNY Mellon's services, such as asset custody, broker-dealer services, and alternative investment services. NEXEN was launched in 2015, and is part of BNY Mellon's digital transformation efforts that began in 2012.
Features
Technology
NEXEN is advertised as being based on open-source software components: as of 2016, it run on OpenStack and relied on components and tools including Jenkins, WSO2, Docker, Spring, Eclipse, Puppet, Drill, H2O, Java, Angular, Python, Node.js, Go, Groovy, Hadoop (Storm, Kafka, opentsdb), Solar, MCollective, Apache Camel, Apache Activiti, OpenLDAP, Maven, Apache HTTP, Apache Tomcat, Liferay, JUnit, Spock, Mockito, H2, CXF, SLF4J/Log4J, Jackson, XStream, Graphna, Druid, Presto.
Gateway and App Store
NEXEN includes Gateway, a web application for users to access BNY Mellon services via browser on desktop, tablet, and mobile device. Gateway is built using open-source technology, such as AngularJS. It provides users access to BNY Mellon services across multiple financial services segments in a single interface. As of June 2016, there are 10,000 entitled users to Gateway.
BNY Mellon plans to include third parties on the NEXEN platform via an app store. An example is a third-party app that performs sentiment analysis on asset managers' portfolio holdings.
APIs
NEXEN is built using API technology. APIs are used to provide data and functionality to the user interface. Clients can also access more than 100 APIs directly using the NEXEN API Store. The NEXEN platform uses open-source technology to run the APIs, such as WSO2.
Data analytics
NEXEN includes data analytics tools through a feature called Digital Pulse. This feature includes capturing more than one billion data events per month and using visual tools to display and analyze the data. Activities, processes and transactions are all tracked via the same analytics feature, resulting in nearly 200 dashboards.
References
External links
Financial services |
https://en.wikipedia.org/wiki/World%20Pulse | World Pulse is a “Social-Media-for-Social-Revolution” initiative, founded and run by Jensine Larsen, in 2003, based out of Portland, Oregon. World Pulse is a social network for women.
History
World Pulse was founded by Jensine Larsen. In 2003, World Pulse was created as a non-profit media organization, to create a magazine that would address pressing global issues through the voices of women. In 2004, the magazine made its debut. In 2007, World Pulse started a web site to complement the print magazine. The last print issue was released in 2011. Currently, World Pulse is an online-only media initiative.
Activities
Social media: The online community on World Pulse is a web-based platform that is open for use by women anywhere in the world. These stories have also been published on Huffington Post and The TIME Magazine.
References
2003 establishments in Oregon
Social networks for social change |
https://en.wikipedia.org/wiki/Lori%20Mann%20Bruce | Lori Mann Bruce currently serves as Provost and Vice President for Academic Affairs and holds the title of Professor of Electrical and Computer Engineering at Tennessee Technological University. As the Provost, she provides leadership to and oversight of eight colleges and schools, offering bachelors, masters, and doctoral programs. Prior to joining Tennessee Tech University, Bruce served as Associate Vice President for Academic Affairs and Dean of the Graduate School at Mississippi State University. While at Mississippi State University, Bruce was awarded the university's highest academic honor, being named a William L. Giles Distinguished Professor. As a faculty member in electrical and computer engineering, she has served as the Principal Investigator or Co-PI on more than 20 funded research grants and contracts, totaling approximately $20 million from federal agencies. Through her research in the areas of hyperspectral remote sensing, pattern recognition, automated target recognition, and precision agriculture, Bruce has served as major professor or graduate committee member for approximately 75 Masters and PhD students and has over 130 refereed publications.
References
Mississippi State University faculty
21st-century American engineers
University of Alabama alumni
Living people
Georgia Tech alumni
Year of birth missing (living people) |
https://en.wikipedia.org/wiki/Nicholas%20Roy | Nicholas Roy is a Canadian-American computer scientist at the Massachusetts Institute of Technology. He is Professor of Aeronautics and Astronautics at MIT and a principal investigator at the MIT Computer Science and Artificial Intelligence Laboratory. His research focuses on robotics, machine learning, autonomous systems, planning and reasoning, human-computer interaction and micro air vehicles and also principles of autonomy and decision-making. He received his PhD under Sebastian Thrun and Tom Mitchell at Carnegie Mellon University in 2003.
References
MIT School of Engineering faculty
American aerospace engineers
Living people
Year of birth missing (living people) |
https://en.wikipedia.org/wiki/List%20of%20UK%20Rock%20%26%20Metal%20Albums%20Chart%20number%20ones%20of%201994 | The UK Rock & Metal Albums Chart is a record chart which ranks the best-selling rock and heavy metal albums in the United Kingdom. Compiled and published by the Official Charts Company, the data is based on each album's weekly physical sales, digital downloads and streams. In 1994, only three charts were published with two albums at number one. The first number-one album of the year was Slayer's sixth studio album Divine Intervention, and the second was the Bon Jovi compilation Cross Road. The third published chart of the year covers the period between 23 October 1994 and 21 January 1995, and lists the Bon Jovi album as number one for the entire period. Cross Road was also the best-selling album of the year in the UK, ranking top of the End of Year Albums Chart published by Music Week magazine.
Chart history
See also
1994 in British music
List of UK Rock & Metal Singles Chart number ones of 1994
References
External links
Official UK Rock & Metal Albums Chart Top 40 at the Official Charts Company
The Official UK Top 40 Rock Albums at BBC Radio 1
1994 in British music
UK Rock and Metal Albums
1994 |
https://en.wikipedia.org/wiki/List%20of%20UK%20Rock%20%26%20Metal%20Albums%20Chart%20number%20ones%20of%201995 | The UK Rock & Metal Albums Chart is a record chart which ranks the best-selling rock and heavy metal albums in the United Kingdom. Compiled and published by the Official Charts Company, the data is based on each album's weekly physical sales, digital downloads and streams. In 1995, there were 21 albums that topped the 52 published charts. The first number-one album of the year was the Bon Jovi compilation Cross Road, which remained at number one following a reign at the end of the previous year. The final number-one album of the year was Queen's final studio album Made in Heaven, which spent the last seven weeks of the year at number one.
The most successful album on the UK Rock & Metal Albums Chart in 1995 was Bon Jovi's sixth studio album These Days, which spent nine consecutive weeks at number one between 1 July and 26 August. Queen's Made in Heaven spent the last seven weeks of 1995 at number one and was the best-selling rock album of the year, ranking fifth in the UK End of Year Albums Chart. Green Day's third studio album Dookie also spent seven weeks at number one in 1995, while the follow-up Insomniac gave the band another two atop the chart. The Offspring's third studio album Smash was number one for three weeks, while four more albums – It's Five O'Clock Somewhere by Slash's Snakepit, P.H.U.Q. by The Wildhearts, One Hot Minute by Red Hot Chili Peppers and Ballbreaker by AC/DC – each spent two weeks at number one on the chart in 1995.
Chart history
See also
1995 in British music
List of UK Rock & Metal Singles Chart number ones of 1995
References
External links
Official UK Rock & Metal Albums Chart Top 40 at the Official Charts Company
The Official UK Top 40 Rock Albums at BBC Radio 1
1995 in British music
UK Rock and Metal Albums
1995 |
https://en.wikipedia.org/wiki/List%20of%20UK%20Rock%20%26%20Metal%20Albums%20Chart%20number%20ones%20of%201996 | The UK Rock & Metal Albums Chart is a record chart which ranks the best-selling rock and heavy metal albums in the United Kingdom. Compiled and published by the Official Charts Company, the data is based on each album's weekly physical sales, digital downloads and streams. In 1996, there were 22 albums that topped the 52 published charts. The first number-one album of the year was Queen's fifteenth and final studio album Made in Heaven, which spent the first four weeks of the year atop the chart at the end of an eleven-week run beginning in November 1995. The final number-one album of the year was 18 til I Die, the seventh studio album by Bryan Adams, which spent the last six weeks of the year at number one in its fifth spell of the year.
The most successful album on the UK Rock & Metal Albums Chart in 1996 was 18 til I Die by Bryan Adams, which spent a total of 15 weeks at number one over five different spells. It was also the best-selling rock album of the year, ranking 24th in the UK End of Year Albums Chart. The self-titled debut album by Garbage spent six weeks at number one in 1996, and was the 25th best-selling album of the year. Queen's Made in Heaven was number one for four weeks of the year, while Status Quo's Don't Stop and To the Faithful Departed by The Cranberries each spent three weeks atop the chart. Four albums – Sepultura's Roots, Pearl Jam's No Code, Nirvana's From the Muddy Banks of the Wishkah and Skunk Anansie's Stoosh – each spent two weeks at number one.
Chart history
See also
1996 in British music
List of UK Rock & Metal Singles Chart number ones of 1996
References
External links
Official UK Rock & Metal Albums Chart Top 40 at the Official Charts Company
The Official UK Top 40 Rock Albums at BBC Radio 1
1996 in British music
UK Rock and Metal Albums
1996 |
https://en.wikipedia.org/wiki/List%20of%20UK%20Rock%20%26%20Metal%20Albums%20Chart%20number%20ones%20of%201997 | The UK Rock & Metal Albums Chart is a record chart which ranks the best-selling rock and heavy metal albums in the United Kingdom. Compiled and published by the Official Charts Company, the data is based on each album's weekly physical sales, digital downloads and streams. In 1997, there were 17 albums that topped the 52 published charts. The first number-one album of the year was the self-titled debut album by Garbage, which spent the first three weeks of the year atop the chart. The final number-one album of the year was the Queen compilation album Queen Rocks, which spent the last four weeks of the year (and the first one of 1998) at number one.
The most successful album on the UK Rock & Metal Albums Chart in 1997 was No Doubt's third studio album Tragic Kingdom, which spent a total of 13 weeks at number one over four different spells. It was also the best-selling rock album of the year, ranking 26th in the UK End of Year Albums Chart. Led Zeppelin spent eight weeks at number one in 1997 – seven with Remasters and one with BBC Sessions – Queen's Queen Rocks was number one for six weeks, and Skunk Anansie's Stoosh topped the chart for five weeks. Three albums – Garbage's self-titled debut album, Glow by Reef and The Colour and the Shape by Foo Fighters – were number one for three weeks each, while two albums – Jon Bon Jovi's second solo album Destination Anywhere and Green Day's fifth studio album Nimrod – both spent two weeks at number one during the year.
Chart history
See also
1997 in British music
List of UK Rock & Metal Singles Chart number ones of 1997
References
External links
Official UK Rock & Metal Albums Chart Top 40 at the Official Charts Company
The Official UK Top 40 Rock Albums at BBC Radio 1
1997 in British music
United Kingdom Rock and Metal Albums
1997 |
https://en.wikipedia.org/wiki/List%20of%20UK%20Rock%20%26%20Metal%20Albums%20Chart%20number%20ones%20of%201998 | The UK Rock & Metal Albums Chart is a record chart which ranks the best-selling rock and heavy metal albums in the United Kingdom. Compiled and published by the Official Charts Company, the data is based on each album's weekly physical sales, digital downloads and streams. In 1998, there were 29 albums that topped the 52 published charts. The first number-one album of the year was the Queen compilation Queen Rocks, which was released the previous year and remained at number one for the opening week of 1999 at the end of a five-week run which began in the week ending 6 December 1997. The final number-one album of the year was Metallica's covers album Garage Inc., which spent the last four weeks of the year (and the first one of 1999) at number one.
The most successful album on the UK Rock & Metal Albums Chart in 1998 was Adore, the fourth studio album by American alternative rock band The Smashing Pumpkins, which spent a total of five weeks at number one. Walking into Clarksdale by former Led Zeppelin members Jimmy Page and Robert Plant, Nirvana's 1991 second studio album Nevermind and Metallica's Garage Inc each spent four weeks at number one during 1998; Pearl Jam's fifth studio album Yield, Fear Factory's third studio album Obsolete and the Aerosmith live album A Little South of Sanity were all number one for three weeks during the year; and Dookie by Green Day, Blood Sugar Sex Magik by Red Hot Chili Peppers, Virtual XI by Iron Maiden and Follow the Leader by Korn each spent two weeks atop the chart.
Chart history
See also
1998 in British music
List of UK Rock & Metal Singles Chart number ones of 1998
References
External links
Official UK Rock & Metal Albums Chart Top 40 at the Official Charts Company
The Official UK Top 40 Rock Albums at BBC Radio 1
1998 in British music
UK Rock and Metal Albums
1998 |
https://en.wikipedia.org/wiki/List%20of%20UK%20Rock%20%26%20Metal%20Albums%20Chart%20number%20ones%20of%201999 | The UK Rock & Metal Albums Chart is a record chart which ranks the best-selling rock and heavy metal albums in the United Kingdom. Compiled and published by the Official Charts Company, the data is based on each album's weekly physical sales, digital downloads and streams. In 1999, there were 19 albums that topped the 52 published charts. The first number-one album of the year was Metallica's covers album Garage Inc., which remained at number one for the opening week of the year at the end of a five-week run which began in the week ending 5 December 1998. The final number-one album of the year was Live Era '87–'93, the first live album by American hard rock band Guns N' Roses, which spent the last three weeks of the year (and the first one of 2000) at number one.
The most successful album on the UK Rock & Metal Albums Chart in 1999 was The Offspring's fourth studio album Americana, which spent a total of 17 weeks at number one over six spells, including a run of ten consecutive weeks between January and March. Americana was the best-selling rock and metal album of the year, ranking 50th in the UK End of Year Albums Chart. The Matrix: Music from the Motion Picture spent six weeks at number one, Blood Sugar Sex Magik by Red Hot Chili Peppers was number one for four weeks in 1999, the self-titled debut album by Garbage topped the chart for three weeks, and five albums – Rides, Nevermind, The Burning Red, Experience Hendrix: The Best of Jimi Hendrix and The Battle of Los Angeles – each spent two weeks at number one on the chart in 1999.
Chart history
See also
1999 in British music
List of UK Rock & Metal Singles Chart number ones of 1999
References
External links
Official UK Rock & Metal Albums Chart Top 40 at the Official Charts Company
The Official UK Top 40 Rock Albums at BBC Radio 1
1999 in British music
UK Rock and Metal Albums
1999 |
https://en.wikipedia.org/wiki/Health%20and%20Social%20Care%20Network | The Health and Social Care Network (HSCN) is a standards-based network that replaced the N3 network in the National Health Service (NHS) in England. It went live in April 2017. Transition to the new network was completed by November 2020.
History
NHSnet
NHSnet was a private wide area network service used by the NHS England. It started operation in around 1995
NHSnet was managed jointly by BT and Cable & Wireless and was developed under the aegis of the NHS Information Authority. However the standards of service varied widely throughout the NHS due to different local practices and levels of equipment. NHSnet was succeeded by N3 in 2006. It is sometimes referred to (by a sort of retrospective nomination) as "N2".
Connections to NHSnet were strictly controlled by the NHS Information Authority, which specified the security required and data protocols allowed under its 'Code of Connect' agreements. Similarly, it controlled access to or from the Internet, including email, through managed gateways.
Organisations wishing to provide information or applications to their NHS partners over NHSnet had a choice of applying for their own Code of Connection, which required a considerable investment in time (typically 6 months), effort and infrastructure; or partnering with one of the restricted number of organisations (BT, Cable and Wireless and Ioko) able to use their own Code of Connect for these purposes.
NHSnet admin passwords were exposed, during the attack of Lulzsec in June 2011.
N3
N3 is a national broadband network for the English National Health Service (NHS), connecting all NHS locations and 1.3 million employees across England. it is being phased out. In 2004, BT was awarded the contract to deliver and manage the IT project on behalf of the NHS. N3 was preceded by NHSnet, becoming N3 in 2006.
N3 provides the foundations to deliver other components of the NHS National Programme for IT (NPfIT) such as Choose and Book, the NHS Care Records Service, Electronic Prescriptions and the NHS Picture Archiving and Communications System.
Technical details
N3 runs over a high-speed IP-based virtual private network. It links acute hospitals and GP surgeries in England through 58 points of presence (POPs), and also has a further five POPs in Scotland. N3 is fully resilient at backbone and POP level, enabling 100% core network service availability. The standardised national infrastructure will enable the rollout of 21st Century healthcare IT applications and the next generation of IP-based converged communications solutions.
Compliance with ISO 20000.
A range of N3 hosting providers can provide Information Governance Statement of Compliance (IG SoC) accredited, secure, third party application hosting services. Providers can also act in an advisory capacity to organisations wishing to offer bespoke applications to the NHS.
Progress
In March 2007, N3’s Voice Services were launched. These services offer free on-net calls, and potential to reduce fixe |
https://en.wikipedia.org/wiki/Dr.%20Halo | Dr. Halo is a raster graphics editor developed by Media Cybernetics and released for computers running MS-DOS. It was among the first graphics editors available for MS-DOS with its initial release in 1984. Media Cybernetics boasted about three million users of Dr. Halo between 1984 and 1993.
Features
Contemporary computer journalists compared the initial release of Dr. Halo's interface to that of MacPaint while calling it more feature-packed than either MacPaint or the competing MS-DOS graphic editor PC Paintbrush. Like MacPaint, Dr. Halo allows users to select different drawing tools by way of a toolbox on the left side of the screen. Underneath that toolbox at the bottom left corner are the primary options for the selected tool. A palette showing the available patterns and colors are shown at the bottom of the screen when Dr. Halo is first started. Unlike MacPaint, Dr. Halo eschews drop-down menus for a given tool's secondary options, in favor of an overlapping menu prompted by a right click over said tool. For example, right-clicking the type icon on the left-side toolbox allow users to select the type's face, size and direction. Also, unlike PC Paintbrush, when the initial release of Dr. Halo is first started it displays the last saved drawing along with its associated color and pattern palettes. The first release of Dr. Halo came packaged with Multiboard Grab, a utility for making slide shows from Dr. Halo drawing files, as well as another utility for converting drawing files from other programs—such as Lotus-generated charts—for use with Dr. Halo or the slide show utility.
In addition to extending support to then-new peripherals and devices such as graphics cards, printers, and pointing devices, Dr. Halo II introduced a "virtual page" function which allowed users to take ASCII-encoded text files and import them into Dr. Halo, with options to lay out the text and set the text's type. Dr. Halo II also added undoing, graphics scaling, and a "smart eraser" tool that allows users to selectively replace a certain color used in a drawing. Alongside Dr. Halo II, Media Cybernetics developed the Dr. Halo Desktop Publishing Editor, or Dr. Halo DPE. The company touted Dr. Halo DPE as a desktop publishing package. In reality, it, like Dr. Halo II, was a raster editor that shared the former's ability to import text files while holding more sophisticated editing tools, as observed by InfoWorld, and making use of extended memory.
Dr. Halo III added the ability to correct for differences in the aspect ratio between the screen and the printer as well as improved dither algorithms. This release of Dr. Halo also added more features to the palette editor. Dr. Halo IV spread the program over six modules: the graphics editor itself, a file viewer, a presentation program, a terminate-and-stay-resident screenshot utility, a font editor and an image file conversion utility. Media Cybernetics sold the lattermost as the Halo Desktop Imager; it could convert graphic |
https://en.wikipedia.org/wiki/Theater%20of%20All%20Possibilities | Theater of All Possibilities (TOAP), was an artistic practice network and touring theater founded in 1967 by John Allen, Kathelin Gray and Marie Harding in San Francisco, California, United States. The group worked with collaborators from the sciences, technology, history, and ecology, with the Institute of Ecotechnics as a partner organization on many projects.
History
The Theater of All Possibilities network was based at Synergia Ranch near Santa Fe, New Mexico, from 1969–1980 and again from 2000–2010. Other studios within the network included: Studio 3, the Blue Planet Ensemble, based on the Research Vessel Heraclitus; Studio 6, based at the October Gallery in London; Studio 7, based at the Naga Theatre at the Hotel Vajra in Kathmandu; and Studio 10, which operated until 1994 at the Biosphere 2 laboratory in Oracle, Arizona.
An ensemble from the Theater of All Possibilities toured domestically and internationally from 1968 to 1989. A 1972 18-month world tour by the ensemble Caravan from Dramaturgia included a performance at Ellen Stewart's La MaMa Experimental Theatre Club in the East Village, Manhattan, New York City. The Caravan from Dramaturgia presented two pieces at La MaMa, Tamarand and The Caravan, on October 4, 5, 6, and 7. A promotional flyer for the production reads: "Every day we make up and wipe out our sets."
Theater of All Possibilities extended their practice into contributing to the founding of multiple ecological and cultural demonstration and performance projects. These projects included performances in the Australian Outback, the Peruvian Amazon, and the sacred forest in Osogbo, as well as traditional theater spaces.
The network was formally disbanded in 2009–2010.
Allen and Gray subsequently formed the performance research initiative Theatre for the Reconstitution of Reality (THEATRRR), also based in New Mexico. The Spaceship Earth (film) (2020) documentary featured the Theater of All Possibilities.
See also
Mount Analogue (1952) book
References
External links
Studio 3: Research Vessel Heraclitus
Studio 6: October Gallery in London
Studio 7: Naga Theatre at Hotel Vajra in Kathmandu
Institute of Ecotechnics
Synergia Ranch
Theatrical organizations in the United States
Touring theatre
1967 establishments in California
2010 disestablishments in the United States
Postmodern theatre |
https://en.wikipedia.org/wiki/Jose%20Principe | Jose C. Principe is an American Bioengineer, focusing in adaptive signal processing, kernel learning, information theoretic learning, neural networks, brain machine interfaces and cognitive architectures, currently Distinguished Professor of Electrical and Biomedical Engineering and BellSouth Professor at University of Florida.
References
Year of birth missing (living people)
Living people
University of Florida faculty
21st-century American engineers
University of Florida alumni |
https://en.wikipedia.org/wiki/Behave%20Yourself%21%20%28TV%20series%29 | Behave Yourself! is an Australian comedy game show which premiered on 4 July 2017 on the Seven Network. The series was produced by Eureka Productions and hosted by Darren McMullen. It featured comedians and celebrities competing to guess human responses and behaviour, based on experiments of behavioural expert and author Dan Ariely.
Cast
Host
Darren McMullen
Guests
Anthony Lehmann
Arj Barker
Ash Pollard
Barry Hall
Ben Mingay
Bonnie Lythgoe
Brendan Fevola
Cal Wilson
Chloe Esposito
Christie Whelan Browne
Claire Hooper
Denise Scott
Ella Hooper
Emily Taheny
Gina Liano
Guy Sebastian
Heath Franklin
Issa Schultz
Jason Byrne
Kate Langbroek
Kerri-Anne Kennerley
Kris Smith
Larry Emdur
Lawrence Mooney
Liesel Jones
Lucy Durack
Matt Little
Matt Parkinson
Merv Hughes
Michala Banas
Natalie Bassingthwaighte
Nazeem Hussain
Nikki Osborne
Sam Frost
Shane Warne
Stephen K. Amos
Tegan Higginbotham
Tim Ross
Tom Ballard
Virginia Gay
Episodes
Note: The winning team is listed in bold
Ratings
Notes
References
External links
Official Website
2010s Australian game shows
2017 Australian television series debuts
2020s Australian game shows
2020 Australian television series endings
English-language television shows
Seven Network original programming
Television series by Eureka
Television shows set in Melbourne |
https://en.wikipedia.org/wiki/Cygames | is a Japanese video game development studio established in 2011 by CyberAgent. Mobile and e-commerce company DeNA acquired a 24% stake in the studio in 2012, and Nintendo acquired another 5% stake in 2018, leaving CyberAgent with 69% of the shares and as such, they are the parent company of Cygames. From its formation, the company produced mobile games, initially on the Mobage platform, and from 2013 on Android and iOS. The company headquarters is located in Tokyo while other divisions are located in Osaka and Saga in Japan and Seoul, South Korea.
Key IPs include Uma Musume Pretty Derby (2021), Princess Connect! Re:Dive (2018), Shadowverse (2016), Granblue Fantasy (2014), The Idolmaster Cinderella Girls (2011, with Bandai Namco Entertainment), and Rage of Bahamut (2011). The company began development of console games in 2015. In 2016 Cygames announced the establishment of an anime studio CygamesPictures. The company also began funding anime for its mobile property and for new projects and adaptations for anime. The company also entered the manga, music and design market in the time period.
History
Cygames, Inc. was established in 2011 by CyberAgent, a Japanese web services company. In 2012, DeNA purchased a 24% stake in Cygames. Shortly thereafter, the studio was chosen by Gamasutra as one of the top 10 game developers of the year.
In June 2012, Cygames founded CyDesignation, a company specialized in Design, Illustration, Game planning and Game development.
In March 2016, Cygames announced the establishment of its own anime production division and anime studio as a subsidiary known as CygamesPictures to do planning, production and animation both for Cygames own IPs and original anime projects as well.
In June 2016, Cygames announced the acquisition of the gaming and anime background studio Kusanagi.
In 2016, Cygames announced that it was developing Project Awakening, its first large-format title for consoles as well as the establishment of their Osaka studio focused on console games.
In May 2017, Cygames and Kodansha announced that they formed a partnership to launch a new label called Cycomi to release volumes in print distributed by Kodansha for manga already published online by Cygames on its digital manga website called Cycomics. However, in April 2019, Cygames formed a new partnership with Shogakukan.
On June 8, 2017, Cygames and its parent company CyberAgent announced that they jointly established CA-Cygames Anime Fund", a fund for investing in anime IP which will inject funds to the anime production committee to obtain the rights to stream anime videos on the Internet and produce games with a total amount of funds to be 3 billion yen.
In 2017, Cygames founded its esports team, Cygames Beast, with Street Fighter players Daigo Umehara, Snake Eyez, and PR Balrog. Since July 2017, Cygames is an official sponsor of Juventus Football Club.
In April 2018, a partnership with Nintendo was announced to develop the game Dragalia Lost, for |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.