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https://en.wikipedia.org/wiki/Projectnet | Projectnet is a Finnish database that contains descriptions of both ongoing and completed research projects that are being conducted on natural resources by prominent organizations in Finland.
Project registers are usually maintained by individual organizations, but from Projectnet (in Finnish "Hankehaavi") one can search for project information from five different organizations at the same time. The organizations that produce information for Projectnet are Finnish Food Authority (Ruokavirasto), the Finnish Geospatial Research Institute (FGI), the National Resources Institute Finland (Luke) as well as the Finnish Environment Institute (SYKE). Four faculties of the University of Helsinki are also involved in the Projectnet: Faculty of Agriculture and Forestry, Faculty of Veterinary Medicine, Faculty of Biological and Environmental Sciences, Faculty of Pharmacy as well as the Viikki Campus Library of the Helsinki University Library.
Project descriptions in the Projectnet are presented in exactly the form that the information producers have written them. These descriptions are linked directly to the information producer's web page that often contains a more extensive project description. Projectnet doesn’t manipulate the produced project descriptions in any way but its directories are created by the basis of the data fields in these descriptions to help the information seekers to find relevant information. All changes in these projects as well as any new projects that have been initiated are stored in the organization's own register, database or web page and these changes are automatically updated to the Projectnet at agreed upon intervals.
The purpose of Projectnet is to improve the discoverability, availability and usability of scientific information within the field of natural resources. Project information is usually found in the publications that come out of different projects. While there are many publication databases in existence, Projectnet is the only extensive, multi-scientific project description database in Finland. As for new scientific projects, Projectnet is the first or even the only available information resource.
In particular, researchers, research sponsors, experts, research administration, decision-makers, organizations and communications professionals need information about different research projects. By using Projectnet it is possible to quickly discover what is being researched within the field of natural resources, who the researchers are and in which organizations they are conducting their research. It can be difficult for the information seeker to determine what would be the best place to find out about climate change or bioenergy, since so many organizations are conducting research in these areas from many different perspectives. This is where Projectnet comes to the information seekers' aid.
Projectnet contains over 10000 project descriptions (2021). The number of descriptions increases as new projects are being |
https://en.wikipedia.org/wiki/Daniel%20Kr%C3%A1%C4%BE | Daniel Kráľ (born June 30, 1978) is a Czech mathematician and computer scientist who works as a professor of mathematics and computer science at the Masaryk University. His research primarily concerns graph theory and graph algorithms.
Education and career
He obtained his Ph.D. from Charles University in Prague in 2004, under the supervision of Jan Kratochvíl. After short-term positions at TU Berlin, Charles University, and the Georgia Institute of Technology, he returned to Charles University as a researcher in 2006, and became a tenured associate professor there in 2010. He was awarded the degree of Doctor of Science by the Academy of Sciences of the Czech Republic in 2012, and in the same year moved to a professorship at the University of Warwick.
In 2018, Kráľ moved back to the Czech Republic and started working at Faculty of Informatics, Masaryk University, accepting the Donald Knuth professorship chair.
Contributions
In the 1970s, Michael D. Plummer and László Lovász
conjectured that every bridgeless cubic graph has an exponential number of perfect matchings, strengthening Petersen's theorem that at least one perfect matching exists. In a pair of papers with different sets of co-authors, Kráľ was able to show that this conjecture is true.
Recognition
Kráľ won first place and a gold medal at the International Olympiad in Informatics in 1996.
In 2011, Kráľ won the European Prize in Combinatorics for his work in graph theory, particularly citing his solution to the Plummer–Lovász conjecture and his results on graph coloring. In 2014, he won a Philip Leverhulme Prize in Mathematics and Statistics; the award citation again included Kráľ's research on the Plummer–Lovász conjecture, as well as other publications of Kráľ on pseudorandom permutations and systems of equations.
He was elected as a Fellow of the American Mathematical Society in the 2020 Class, for "contributions to extremal combinatorics and graph theory, and for service to the profession".
References
External links
Home page
Google scholar profile
Living people
1978 births
Czech mathematicians
Czech computer scientists
Graph theorists
Charles University alumni
Academics of the University of Warwick
Fellows of the American Mathematical Society |
https://en.wikipedia.org/wiki/Polynomial%20delay | In the analysis of algorithms, an enumeration algorithm (i.e., an algorithm for listing a large or infinite collection of structures) is said to have polynomial delay if the time between the output of any one structure and the next is bounded by a polynomial function of the input size, in the worst case.
Polynomial delay implies that the total time used by an algorithm will be polynomial per output item, but is a stronger requirement. This is a desirable property, because it means that any consumer of the stream of outputs will not have to wait idle for a long time from one output to the next. In particular, an algorithm with polynomial delay cannot have a startup phase that takes exponential time before it produces a single output, unlike some algorithms that take polynomial time per output item. Additionally, unlike bounds on the total time, it is a suitable form of analysis even for algorithms that produce an infinite sequence of outputs.
The notion of polynomial delay was first introduced by David S. Johnson, Mihalis Yannakakis and Christos Papadimitriou.
References
Analysis of algorithms |
https://en.wikipedia.org/wiki/Leslie%20Ann%20Goldberg | Leslie Ann Goldberg is a professor of computer science at the University of Oxford and a Fellow of St Edmund Hall, Oxford. Her research concerns the design and analysis of algorithms for random sampling and approximate combinatorial enumeration.
Education
Goldberg did her undergraduate studies at Rice University and completed her PhD at the University of Edinburgh in 1992 under the joint supervision of Mark Jerrum and Alistair Sinclair after she was awarded the Marshall Scholarship. Her dissertation, on algorithms for listing structures with polynomial delay, won the Distinguished Dissertations in Computer Science prize.
Career and research
Goldberg became the Head of Department for the Department of Computer Science, University of Oxford in October 2021.
Prior to working at Oxford, her employers have included Sandia National Laboratories, the University of Warwick, and the University of Liverpool.
Goldberg serves as editor-in-chief of the Journal of Discrete Algorithms, and has served as program chair of the algorithms track of the International Colloquium on Automata, Languages and Programming (ICALP) in 2008.
Awards and honours
She is a member of the Academia Europaea (MAE) and was awarded the Suffrage Science award in 2016.
References
Year of birth missing (living people)
Living people
American computer scientists
British computer scientists
British women computer scientists
Theoretical computer scientists
Rice University alumni
Academics of the University of Warwick
Academics of the University of Liverpool
Fellows of St Edmund Hall, Oxford
Members of Academia Europaea
Sandia National Laboratories people
Alumni of the University of Edinburgh |
https://en.wikipedia.org/wiki/Lepidagathis%20cuspidata | Lepidagathis cuspidata (also known as Kodajathripaccha, Kodassathripaccha and Spiny Lepidagathis) is a species of plant in the family Acanthaceae. It is native to India and is a prickly subshrub growing profusely on hilly terrain in the Western Ghats, in evergreen forests and in wet places. It has been recorded in the Indian states of Assam, Gujarat, Maharashtra, Karnataka, Kerala and Tamil Nadu, as well as in Nepal and Pakistan.
References
Acanthaceae |
https://en.wikipedia.org/wiki/Affine%20scaling | In mathematical optimization, affine scaling is an algorithm for solving linear programming problems. Specifically, it is an interior point method, discovered by Soviet mathematician I. I. Dikin in 1967 and reinvented in the U.S. in the mid-1980s.
History
Affine scaling has a history of multiple discovery. It was first published by I. I. Dikin at Energy Systems Institute of Russian Academy of Sciences (Siberian Energy Institute, USSR Academy of Sc. at that time) in the 1967 Doklady Akademii Nauk SSSR, followed by a proof of its convergence in 1974. Dikin's work went largely unnoticed until the 1984 discovery of Karmarkar's algorithm, the first practical polynomial time algorithm for linear programming. The importance and complexity of Karmarkar's method prompted mathematicians to search for a simpler version.
Several groups then independently came up with a variant of Karmarkar's algorithm. E. R. Barnes at IBM, a team led by R. J. Vanderbei at AT&T, and several others replaced the projective transformations that Karmarkar used by affine ones. After a few years, it was realized that the "new" affine scaling algorithms were in fact reinventions of the decades-old results of Dikin. Of the re-discoverers, only Barnes and Vanderbei et al. managed to produce an analysis of affine scaling's convergence properties. Karmarkar, who had also came with affine scaling in this timeframe, mistakenly believed that it converged as quickly as his own algorithm.
Algorithm
Affine scaling works in two phases, the first of which finds a feasible point from which to start optimizing, while the second does the actual optimization while staying strictly inside the feasible region.
Both phases solve linear programs in equality form, viz.
minimize
subject to , .
These problems are solved using an iterative method, which conceptually proceeds by plotting a trajectory of points strictly inside the feasible region of a problem, computing projected gradient descent steps in a re-scaled version of the problem, then scaling the step back to the original problem. The scaling ensures that the algorithm can continue to do large steps even when the point under consideration is close to the feasible region's boundary.
Formally, the iterative method at the heart of affine scaling takes as inputs , , , an initial guess that is strictly feasible (i.e., ), a tolerance and a stepsize . It then proceeds by iterating
Let be the diagonal matrix with on its diagonal.
Compute a vector of dual variables:
Compute a vector of reduced costs, which measure the slackness of inequality constraints in the dual:
If and , the current solution is -optimal.
If , the problem is unbounded.
Update
Initialization
Phase I, the initialization, solves an auxiliary problem with an additional variable and uses the result to derive an initial point for the original problem. Let be an arbitrary, strictly positive point; it need not be feasible for the original problem. The infeasibility o |
https://en.wikipedia.org/wiki/Jane%20Gladstone | Jane Gladstone (born 1968/1969) is the president of IntraFi Network (formerly Promontory Interfinancial Network) and a member of its board of directors. She previously was a senior managing director at Evercore Partners for 15 years. Gladstone started the financial institutions group at Evercore in 2005, and has advised on about $150 billion of M&A and capital raising.
Gladstone worked for Morgan Stanley until 2005 where she created a fintech merger and acquisition and advisory practice. She left Morgan Stanley in 2005 to build a similar practice at Evercore.
In 2015, she was included in Bloomberg Markets list of the 50 Most Influential, those with "the ability to move markets or shape ideas and policies," alongside Janet Yellen, Warren Buffett, Pope Francis, and Elon Musk. In 2015, she was ranked at #2 in the Institutional Investor Fintech Finance 35.
Gladstone was awarded the National Organization for Women's Women of Power and Influence Award in 2015 for her visionary leadership in the Fintech industry and her work to drive forward innovation, redefine workplaces, and inspire the next generation of leaders.
Gladstone was featured in the The Wall Street Journal for her Goldman Sachs parody as a member of Kappa Beta Phi, Wall Street's elite secret society.
Gladstone grew up in New York and Los Angeles. She attended the Brearley School before getting a degree in art history from the University of Virginia.
References
1960s births
Living people
American bankers |
https://en.wikipedia.org/wiki/TCDD%20E32000 | The TCDD E32000 is an electric multiple unit railway car built by Hyundai-Rotem for the Turkish State Railways. They were ordered exclusively to operate along the Marmaray commuter rail network in Istanbul with delivery beginning in 2011. The EMUs consist of 5-car and 10-car sets respectively. The first EMUs went into service along Istanbul's two commuter rail lines from 2012 and 2013. On 29 October 2013, the first 5-car sets began operating between Kazlıçeşme and Ayrılıkçeşmesi as part of Phase I of the Marmaray project.
Hyundai Rotem announced on 11 November 2008, that it had signed a €580 million contract to supply the rolling stock for the Marmaray project. The Korean firm had competition from shortlisted bidders Alstom, CAF, and a consortium of Bombardier, Siemens, and Nurol for the 440-vehicle contract which was placed by the Ministry of Transport's General Directorate of Railways, Harbours, and Airports.
References
Hyundai Rotem multiple units
Marmaray
Turkish railways electric multiple units
25 kV AC multiple units |
https://en.wikipedia.org/wiki/Transported%20by%20Design | Transported by Design was a programme of activities which aimed to raise awareness of the importance of both physical and service design in London's transport network. The 18-month long campaign showcased how design has helped shape London's transport system as known today.
In October 2015, after two months of public voting, 10 favourite transport design icons were chosen by Londoners. The winners, selected from among 100 options, were:
Black cab
work of Frank Pick
Harry Beck's original tube map
Baker Street tube station platforms
London Underground roundel
AEC Routemaster bus
Mark Wallinger's Labyrinth
RT type bus
S-Stock trains
Westminster tube station
The programme showcased transport design through exhibitions, walks, the launch of a new uniform for London Underground in November 2015 and an event at Regent Street in July 2016 The programme was sponsored by Exterion Media.
References
2016 in London
Transport in London |
https://en.wikipedia.org/wiki/Chih-Jen%20Lin | Chih-Jen Lin () is Distinguished Professor of Computer Science at National Taiwan University, and a leading researcher in machine learning, optimization, and data mining. He is best known for the open-source library LIBSVM, an implementation of support vector machines.
Biography
Chih-Jen Lin received his B.Sc. (1993) in Mathematics at National Taiwan University, and M.SE (1996) and Ph.D. (1998) in Operations at University of Michigan.
Awards and honors
ACM Fellow (2015)
For contributions to the theory and practice of machine learning and data mining.
AAAI Fellow (2014)
For significant contributions to the field of machine learning, and the development of a widely used SVM software.
IEEE Fellow (2011)
For contributions to support vector machine algorithms and software.
Selected works
Software
LIBSVM implements the sequential minimal optimization algorithm for kernelized support vector machines. LIBSVM Homepage
Articles
References
External links
Chih-Jen Lin Google Scholar, h-index is 63.
Academic staff of the National Taiwan University
Taiwanese computer scientists
University of Michigan College of Engineering alumni
Living people
Scientists from Taipei
National Taiwan University alumni
Fellows of the Association for Computing Machinery
Fellows of the Association for the Advancement of Artificial Intelligence
Fellow Members of the IEEE
Machine learning researchers
Year of birth missing (living people) |
https://en.wikipedia.org/wiki/Tibor%20Tscheke | Tibor Tscheke had an early education in Heidelberg, studying at the Ruprecht-Karls-Universität from 1975 to 1979, where he received a Bachelor of Science in Computer Science and Mathematics.
In 1991, Tscheke helped establish the MAJOUR Modular Approach for Journals as part of the EWS European Workgroup on SGML. This work became the international base for commonly used metadata structures for scientific articles in the STM (Science, Technology, Medicine) fields' publishing industry.
From December 1991 - June 2001, Tscheke was the Managing Director and founding partner of STEP GmbH, a company which used SGML services for commercial, professional, and corporate publishers.
From July 2001 to February 2006, Tscheke was the Vice President International of Empolis GmbH, and was responsible for their activities in the US, UK, Hungary, Norway, and Dubai.
From March 2006 until the present, Tscheke has been the President and CEO of Ovitas Inc. Since 2007, Tscheke has also been a team member to execute and maintain the US GAAP (Generally Accepted Accounting Principles) Codification as part of Ovitas.
In 2013, Tscheke co-founded the open research and publishing platform ScienceOpen with Alexander Grossman, and currently serves as their Chief Strategy Officer.
Tscheke speaks four languages: English, German, Hungarian, and Serbo-Croatian.
References
Living people
German chief executives
Heidelberg University alumni
Year of birth missing (living people) |
https://en.wikipedia.org/wiki/Digital%20Notam | A Digital NOTAM (DIGITAM), is a data set made available through digital services containing information concerning the establishment, condition or change in any aeronautical facility, service, procedure or hazard, the timely knowledge of which is essential to systems and automated equipment used by personnel concerned with flight operations.
The Digital NOTAM encoding is based on the Aeronautical Information Exchange Model (AIXM) version 5, which has been developed in cooperation between the European Organisation for the Safety of Air Navigation (EUROCONTROL) and the United States Federal Aviation Administration (FAA), with the support of the international AIS community. The DIGITAM eliminates the free form text contained within a NOTAM and replaces the text with a series of structured facts, which obtain to the aeronautical entity concerned.
In 2012 the Federal Aviation Administration (FAA) successfully launched the first global digital NOTAM (Notice to Airmen) system to all airports and airplanes in the United States.
References
Aeronautical databases
Aeronautics |
https://en.wikipedia.org/wiki/Transdev%20Wellington | Transdev Wellington is the operator of Wellington's Metlink rail network in New Zealand. The entity is a partnership of Transdev Australasia and Hyundai Rotem, who were awarded the contract to operate and maintain the commuter rail system in December 2015 by the Greater Wellington Regional Council. The contract commenced on 3 July 2016, taking over from KiwiRail division Tranz Metro.
Background
The Greater Wellington Regional Council (GWRC) put the contract for the operation of Wellington's metropolitan commuter rail services out to tender in 2015. Bids were received from a Keolis Downer/KiwiRail joint venture, Serco and a Transdev Australasia/Hyundai Rotem joint venture. In December 2015, the Transdev Australasia/Hyundai Rotem joint venture was announced as the preferred bidder.
The contract runs for nine years from 1 July 2016. The contract has two three-year extension options, taking its potential total length to 15 years. Extensions are subject to the achievement of performance targets including on-time performance and customer satisfaction. GWRC stated that the contract is to provide savings to ratepayers of around $100m over the 15 years.
In November 2017, the first strike on Wellington's network in 24 years occurred.
Operations
Most of Tranz Metro's 400 operational staff were re-employed by Transdev Wellington.
Rolling stock
Most rolling stock used on the Wellington suburban network is owned by the GWRC and leased to the current operator. The fleet comprises:
83 FP/FT "Matangi" class electric multiple units (Johnsonville, Hutt Valley, Kapiti and Melling lines)
18 SW class carriages (Wairarapa Connection)
6 SE class carriages (Wairarapa Connection)
1 AG class baggage/generator van (Wairarapa Connection)
Transdev contracts KiwiRail on a "hook-and-tow" basis for the DFB class diesel-electric locomotives that haul the Wairarapa Connection services.
See also
Public transport in the Wellington Region
References
Hyundai Motor Group
Railway companies established in 2016
Railway companies of New Zealand
Transdev
New Zealand companies established in 2016 |
https://en.wikipedia.org/wiki/Milgaard | Milgaard, also sometimes known as Hard Time: The David Milgaard Story, is a Canadian dramatic television film, which was broadcast by the CTV Television Network in 1999. The film centres on David Milgaard, a Canadian man who was wrongfully convicted in the 1969 rape and murder of Gail Miller, and his 22-year quest for justice until being released from prison in 1992.
The film stars Ian Tracey as David Milgaard and Gabrielle Rose as his mother Joyce Milgaard, as well as Tom Melissis, Garwin Sanford, Hrothgar Mathews, Jaimz Woolvett, Sabrina Grdevich, Bernie Coulson and Reagan Pasternak in supporting roles.
Larry Fisher, who had been arrested for Miller's murder and was awaiting trial in Saskatchewan at the time of the film's release, sought a court injunction banning the broadcast of the film on the grounds that it might prejudice his chance at a fair trial. Although the injunction was granted, the judge declined to ban the film nationwide, instead ruling only that CTV could not broadcast the film on its affiliates in Saskatchewan. The film was broadcast on April 11, 1999 across most of Canada, except Saskatchewan. A second injunction prevented CTV from rebroadcasting the film at all in October 1999, as by that time Fisher's trial was underway; this latter ban also prevented any clips of the film from being broadcast as part of the 14th Gemini Awards ceremony in November, as Fisher's trial had not yet concluded.
Following Fisher's conviction in late 1999, CTV rebroadcast the film on January 2, 2000 across Canada, including Saskatchewan.
Awards
References
External links
1999 films
1999 television films
Canadian drama television films
English-language Canadian films
Gemini and Canadian Screen Award for Best Television Film or Miniseries winners
Canadian films based on actual events
Films about miscarriage of justice
1990s Canadian films
CTV Television Network original films |
https://en.wikipedia.org/wiki/Metropolis-adjusted%20Langevin%20algorithm | In computational statistics, the Metropolis-adjusted Langevin algorithm (MALA) or Langevin Monte Carlo (LMC) is a Markov chain Monte Carlo (MCMC) method for obtaining random samples – sequences of random observations – from a probability distribution for which direct sampling is difficult. As the name suggests, MALA uses a combination of two mechanisms to generate the states of a random walk that has the target probability distribution as an invariant measure:
new states are proposed using (overdamped) Langevin dynamics, which use evaluations of the gradient of the target probability density function;
these proposals are accepted or rejected using the Metropolis–Hastings algorithm, which uses evaluations of the target probability density (but not its gradient).
Informally, the Langevin dynamics drive the random walk towards regions of high probability in the manner of a gradient flow, while the Metropolis–Hastings accept/reject mechanism improves the mixing and convergence properties of this random walk. MALA was originally proposed by Julian Besag in 1994, (although the method Smart Monte Carlo was already introduced in 1978 ) and its properties were examined in detail by Gareth Roberts together with Richard Tweedie and Jeff Rosenthal. Many variations and refinements have been introduced since then, e.g. the manifold variant of Girolami and Calderhead (2011). The method is equivalent to using the Hamiltonian Monte Carlo (hybrid Monte Carlo) algorithm with only a single discrete time step.
Further details
Let denote a probability density function on , one from which it is desired to draw an ensemble of independent and identically distributed samples. We consider the overdamped Langevin Itô diffusion
driven by the time derivative of a standard Brownian motion . (Note that another commonly-used normalization for this diffusion is
which generates the same dynamics.) In the limit as , this probability distribution of approaches a stationary distribution, which is also invariant under the diffusion, which we denote . It turns out that, in fact, .
Approximate sample paths of the Langevin diffusion can be generated by many discrete-time methods. One of the simplest is the Euler–Maruyama method with a fixed time step . We set and then recursively define an approximation to the true solution by
where each is an independent draw from a multivariate normal distribution on with mean 0 and covariance matrix equal to the identity matrix. Note that is normally distributed with mean and covariance equal to times the identity matrix.
In contrast to the Euler–Maruyama method for simulating the Langevin diffusion, which always updates according to the update rule
MALA incorporates an additional step. We consider the above update rule as defining a proposal for a new state,
This proposal is accepted or rejected according to the Metropolis-Hastings algorithm: set
where
is the transition probability density from to (no |
https://en.wikipedia.org/wiki/Duck%20Duck%20Goose%20%28film%29 | Duck Duck Goose () is a 2018 computer-animated adventure comedy film directed by Chris Jenkins, who wrote the original story and co-wrote the screenplay with Rob Muir, Scott Atkinson, and Tegan West. It stars the voices of Jim Gaffigan, Zendaya and Carl Reiner. An international co-production between the United States, China and the United Kingdom, the film was released in China in March 2018 with an intended North American theatrical release date of April 2018; it was quietly pulled from the schedule following the closure of Open Road Films and was made available on Netflix on July 20, 2018.
Plot
Peng is a carefree goose whose flock is migrating in China. His attitude and demeanor is disapproved by leader Bing, who he and his flock abandon while Peng is asleep. Meanwhile, Chi and Chao, a pair of ducklings on their way to a mystical place called Pleasant Valley, ends up being separated from their flock due to a careless stunt from Peng. To hide from a sinister cat named Banzou, they end up sleeping with Peng after they see him fending off Banzou. Surprised by their presence, Peng ends up recklessly flying away from them before he breaks his wing with a gong. Flightless and frightened, Peng decides to use the ducklings to fend himself off from predators, and return safely to his flock. The ducklings reluctantly agree to go with him.
After a series of misadventures, Peng starts to grow on the ducklings, however, before he agrees to help the ducklings reunite with their flock, he comes across his own flock, where Chi and Chao discover his true intentions. The two groups end up parting their own separate ways, as they try to get to their destinations. Peng attempts to fly one more time, but is soon knocked down by hermit squirrel Carl. Carl builds Peng a makeshift wing for him. Inspired, Peng decides to use the wing to head back to Chi and Chao. However, when the ducklings reunite with their flock, they soon realize that Pleasant Valley is actually a restaurant that serves ducklings. Peng rescues Chi and Chao, however, during their escape, they get separated again. Banzou returns and holds the ducklings hostage, Peng confronts Banzou, but becomes badly injured from fighting him. Chi and Chao light a rocket and launch him into the sky to his demise.
Weakened, Peng tries to bring Chi and Chao back with his flock, but a snow storm makes him worse. The ducklings fly him towards the spring where the geese are, and Chao, remembering a honk Peng taught him calls for Peng's girlfriend Jingjing, who ultimately ends up rescuing him. The geese welcome the ducks, Bing allows the ducklings in the flock, even Peng who has now been responsible. Peng introduces Jingjing to Chi and Chao, and tells her that might end up having more children.
In a mid credits scene, Larry, a turtle who was trying to warn Peng of Banzou's intentions, makes his way to valley, only to find everyone gone. In the movie where characters said Birds of a feather migrate together.
Cast
Jim |
https://en.wikipedia.org/wiki/List%20of%20LTE%20networks%20in%20Asia | This is a list of commercial Long-Term Evolution (LTE) networks in Asia, grouped by their frequency bands.
Some operators use multiple bands and are therefore listed multiple times in respective sections.
General information
For technical details on LTE and a list of its designated operating frequencies, bands, and roaming possibilities, see LTE frequency bands.
Note: This list of network deployments does not imply any widespread deployment or national coverage.
Commercial deployments
Deployments in the 3400–3800 MHz range
Commercial deployments (old table format)
See also
LTE
LTE frequency bands
List of LTE networks
List of planned LTE networks
List of UMTS networks
List of HSPA+ networks
List of CDMA2000 networks
UMTS frequency bands
List of mobile network operators of the Asia Pacific region
Mobile Network Codes in ITU region 4xx (Asia)
References
Asia-related lists
Lists by country
LTE (telecommunication)
Telecommunications lists |
https://en.wikipedia.org/wiki/Kenta%20Kiritani | is a Japanese actor and singer. He was born in Kita-ku, Osaka.
Filmography
Films
TV series
{|class="wikitable"
|-
! Year
! Title
! Role
! Network
! Notes
! Ref.
|-
| 1999 || Ten'nen Shōjo Yorozu Next: Yokohama Hyaku Yoru-hen || Hideki || Wowow || ||
|-
|rowspan="2"| 2002 || Kyūryū de Aimashō || Ken Yamazaki || TV Asahi || ||
|-
|Lunch no Joō || Maggie || Fuji TV || Episodes 3 and 8||
|-
| 2003 || Time Limit || Transport security guard || TBS || ||
|-
|rowspan="5"| 2005 || Tiger & Dragon || Chibi T || TBS || ||
|-
|Division 1 || Nakaoka Shintarō || Fuji TV || ||
|-
|Koisuru Nichiyobi || Shinji Watarai || BS-TBS || Episode 16 ||
|-
|Be-Bop High School 2 || Shibata || TBS || ||
|-
|Shōakumana On'na ni Naru Hōhō || Kujo || Fuji TV || ||
|-
|rowspan="10"| 2006 || Aibō || Kotaro Waki || TV Asahi || Season 4, episode 13 ||
|-
|Gekidan Engisha || Yuikai Tomari || Fuji TV || ||
|-
|Tsunagareta Ashita''' || Kosuke Hattori || NHK || ||
|-
|Kurosagi || Takashi Soma || TBS || Episode 3 ||
|-
|Wagahai wa Shufudearu || Yuki Nakajima || TBS || Episodes 18, 19, 23, and 36 ||
|-
|Midnight Sun || Masato || TBS || Episode 6 ||
|-
|Bokutachi no Sensō || Mazo Yamaguchi || TBS || ||
|-
|Waraeru Koi wa Shitakunai || Takashi Daikoku || TBS || ||
|-
|One-pound Gospel || Koryusei || NTV || Episodes 7 and 8 ||
|-
|Hi Torishimariyaku Shin'nyū Shain || Imaizumi || TBS || ||
|-
|rowspan="2"| 2008 || Rookies || Taira Hiratsuka || TBS ||
|-
|Ryūsei no Kizuna || Hisanobu Takayama || TBS || ||
|-
| 2009 || Jin || Yusuke Saburi || TBS || ||
|-
|rowspan="2"| 2010 || Ryōmaden || Ikeuchi Kurata || NHK || Taiga drama||
|-
|Strawberry Night || Shinji Otsuka || Fuji TV || ||
|-
|rowspan="2"| 2011 || Zettai Reido || Shinjiro Takikawa || Fuji TV || ||
|-
|Watashi wa Shadow || Haruki Jinnai || TBS || ||
|-
|rowspan="2"| 2012 || Murder at Mt. Fuji || Keiichiro Yumizaka || TV Asahi || ||
|-
|Osozaki no Himawari: Boku no Jinsei, Renewal || Junichi Fujii || Fuji TV || ||
|-
|rowspan="8"| 2013 || Chichi no Hana, Saku Haru: Gifu Nagaragawa Hōkan Monogatari || Jiro Tsuji || NHK || Lead role ||
|-
|Soratobu Kōhō-shitsu || Takashi Kiritani || TBS || Episodes 1 to 10 ||
|-
|Galileo || Tomohiro Isogai || Fuji TV || Season 2, episode 5 ||
|-
|Gekiryū: Watashi o Oboete Imasu ka? || Koji Higashihagi || NHK || ||
|-
|Andō Lloyd: A.I. knows Love? || Shinzo Hoshi || TBS || ||
|-
|Tokei-ya no Musume || Tsukasa Hanamura || TBS || ||
|-
|Y-O-U Yamabiko Ongaku Dōkō-kai || Yusaku Kono || KTV || Lead role ||
|-
|Olympic no Minoshirokin || Kiyoshi Yabutani || TV Asahi || ||
|-
|rowspan="4"| 2014 || Umoreru || Toru Kitami || Wowow || Lead role ||
|-
|Sanuki Udon Yūshi-ka || Teppei Onishi || NHK || Lead role ||
|-
|Oyaji no Senaka || Daigo Sugimoto || TBS || Episode 6 ||
|-
|The Eternal Zero || Kentaro Saeki || TV Tokyo || ||
|-
|rowspan="3"| 2015 || The Emperor's Cook || Shinataro Matsui || TBS || ||
|-
|Prophecy || Ken Mizutani || Wowow || ||
|-
|Mozu || Akifumi Mishima || Wowow || ||
|-
| 2016 || Natsume ya Do |
https://en.wikipedia.org/wiki/Darkforest | Darkforest is a computer go program developed by Meta Platforms, based on deep learning techniques using a convolutional neural network. Its updated version Darkfores2 combines the techniques of its predecessor with Monte Carlo tree search. The MCTS effectively takes tree search methods commonly seen in computer chess programs and randomizes them. With the update, the system is known as Darkfmcts3.
Darkforest is of similar strength to programs like CrazyStone and Zen. It has been tested against a professional human player at the 2016 UEC cup. Google's AlphaGo program won against a professional player in October 2015 using a similar combination of techniques.
Darkforest is named after Liu Cixin's science fiction novel The Dark Forest.
Background
Competing with top human players in the ancient game of Go has been a long-term goal of artificial intelligence. Go’s high branching factor makes traditional search techniques ineffective, even on cutting-edge hardware, and Go’s evaluation function could change drastically with one stone change. However, by using a Deep Convolutional Neural Network designed for long-term predictions, Darkforest has been able to substantially improve the win rate for bots over more traditional Monte Carlo Tree Search based approaches.
Matches
Against human players, Darkfores2 achieves a stable 3d ranking on KGS Go Server, which roughly corresponds to an advanced amateur human player. However, after adding Monte Carlo Tree Search to Darkfores2 to create a much stronger player named darkfmcts3, it can achieve a 5d ranking on the KGS Go Server.
Against other AI
darkfmcts3 is on par with state-of-the-art Go AIs such as Zen, DolBaram and Crazy Stone but lags behind AlphaGo. It won 3rd place in January 2016 KGS Bot Tournament against other Go AIs.
News Coverage
After Google's AlphaGo won against Fan Hui in 2015, Facebook made its AI's hardware designs public, alongside releasing the code behind DarkForest as open-source, along with heavy recruiting to strengthen its team of AI engineers.
Style of play
Darkforest uses a neural network to sort through the 10100 board positions, and find the most powerful next move. However, neural networks alone cannot match the level of good amateur players or the best search-based Go engines, and so Darkfores2 combines the neural network approach with a search-based machine. A database of 250,000 real Go games were used in the development of Darkforest, with 220,000 used as a training set and the rest used to test the neural network's ability to predict the next moves played in the real games. This allows Darkforest to accurately evaluate the global state of the board, but local tactics were still poor. Search-based engines have poor global evaluation, but are good at local tactics. Combining these two approaches is difficult because search-based engines work much faster than neural networks, a problem which was solved in Darkfores2 by running the processes in parallel with frequent |
https://en.wikipedia.org/wiki/The%20Embassy%20%28TV%20series%29 | The Embassy is an Australian factual television series narrated by Australia actor Les Hill. The series first began airing on the Nine Network on 19 October 2014. The series was renewed for a second season which began screening from 3 February 2016. The series was renewed for a third season on 1 March 2016.
The series is based in Australia's busiest embassies and features unprecedented access as staff deal with Australians requiring diplomatic assistance.
Series overview
Episodes
Season 1 (2014)
The first season presented the workings behind the Australian embassy in Bangkok.
Season 2 (2016-17)
The second season featured the Australian embassy in Bangkok again, as well as those in Ho Chi Minh City and Vientiane, Laos.
Season 3 (2017)
The third season continued to present the Australian embassy in Bangkok, while introducing those in Bali, Paris, and Madrid.
References
External links
2014 Australian television series debuts
Australian factual television series
English-language television shows
Nine Network original programming
Television shows set in Bangkok
Television shows set in Laos
Television shows set in Vietnam
Vientiane |
https://en.wikipedia.org/wiki/JSFuck | JSFuck is an esoteric subset of JavaScript, where code is written using only six characters: [, ], (, ), !, and +. The name is derived from Brainfuck, an esoteric programming language that also uses a minimalistic alphabet of only punctuation. Unlike Brainfuck, which requires its own compiler or interpreter, JSFuck is valid JavaScript code, meaning that JSFuck programs can be run in any web browser or engine that interprets JavaScript. JSFuck is able to recreate all JavaScript functionality using such a limited set of characters because JavaScript is a weakly typed programming language, and it allows the evaluation of any expression as any type.
History
In July 2009, Yosuke Hasegawa created a web application called jjencode which could encode arbitrary JavaScript into an obfuscated form utilizing only the 18 symbols []()!+,\"$.:;_{}~=. In January 2010, an informal competition was held in the "Obfuscation" forum of the sla.ckers.org web application security site to come up with a way to get the minimum number of characters required down to less than eight: []()!+,/. Contributors to the thread managed to eliminate the need for the , and / characters. As of March 2010, an online encoder called JS-NoAlnum was available which utilized only the final set of six characters. By the end of 2010, Hasegawa made a new encoder available named JSF*ck which also used only the minimum six characters. In 2012, Martin Kleppe created a "jsfuck" project on GitHub, and a JSFuck.com website with a web app using that implementation of the encoder.
JSFuck can be used to bypass detection of malicious code submitted on websites, e.g. in cross-site scripting (XSS) attacks. Another potential use of JSFuck lies in code obfuscation. An optimized version of JSFuck has been used to encode jQuery, a JavaScript library, into a fully functional version written with just the six characters.
Encoding methods
JSFuck code is extremely "verbose": In JavaScript, the code alert("Hello World!"), which causes a pop-up window to open with the text "Hello world", is 21 characters long. In JSFuck, the same code has a length of 4325 characters. Certain single characters require far more than 1000 characters when expanded as JSFuck. This section offers an overview of how this expansion works.
Numbers
The number 0 is created by +[], where [] is the empty array and + is the unary plus, used to convert the right side to a numeric value (zero here).
The number 1 is formed as +!![] or +!+[], where the boolean value true (expressed as !![] or !+[] in JSFuck) is converted into the numeric value 1 by the prepended plus sign.
The digits 2 to 9 are formed by summing true the appropriate number of times. E.g. in JavaScript true + true = 2 and true = !![] = !+[], hence 2 can be written as !![]+!![] or !+[]+!+[]. Other digits follow a similar pattern.
Integers consisting of two or more digits are written, as a string, by concatenating 1-digit arrays with the plus operator.
For example, the stri |
https://en.wikipedia.org/wiki/Muhammad%20al-Qiq | Muhammad al-Qiq or Mohammed al-Qeeq () is a Palestinian journalist, correspondent and reporter for Saudi News Agency Almajd TV Network. Al-Qiq received international attention in 2015 when he began a hunger strike in protest of him being incarcerated under Israeli administrative detention (internment without trial or charge). He was released on May 19, 2016, after enduring a 94-day hunger strike.
Al-Qiq was detained again on January 16, 2017, and subsequently began a new hunger strike.
Al-Qiq lives in Abu Qash in the Ramallah District in Palestine. He has a master's degree in Contemporary Arab Studies from Birzeit University.
Arrest
At 2:00 am on 21 November 2015, al-Qiq was arrested at his home in Ramallah. The Israeli Security Agency Shin Bet said al-Qiq was arrested for "terror activity" for the Islamist group Hamas.
B'Tselem reported that the classified intelligence evidence viewed by the Israeli Supreme Court was judged significant and that the court therefore deemed the detention justified. Unusually, the Court's decision contained details of the reasons for Al-Qiq's detention; "Involvement in recent military activity, in the operations of Kutla Islamiya in Bir Zeit University, and military contact with operatives in the Gaza Strip." According to Amnesty, the stated reason for Al-Qiq's detention was "incitement," of working with media associated with Hamas and of being a "threat."
Previous Arrests and Detentions
In 2003, Al-Qiq was imprisoned for a month; in 2004, he was imprisoned for 13 months for "Hamas-related activities"; and in 2008, he was "sentenced to 16 months on charges linked to his activities on the student council at the West Bank's Birzeit University."
Hunger strike
Almost a month later, on 17 December, an administrative detention order was issued against him. Shortly after his arrest, al-Qiq launched a hunger strike in protest.
Prison guards at HaEmek Medical Center hospital in Afula tied him to his bed, forcibly examined and treated him, and put an intravenous line in his arm to administer salts and minerals against his will.
Collapse
On 15 January 2016, al-Qiq collapsed and was transferred to an intensive care unit and forcibly treated again.
"Free or dead"
In an interview with Al Jazeera English on 1 February 2016, al-Qiq's wife, Fayha Shalash, said that her husband had signed a document refusing any medical treatment, even if he loses consciousness.
"His decision is very clear: either free or dead, not in between," Shalash said.
Starting 10 January 2016, the hospital forcibly fed al-Qiq for four consecutive days. He was strapped to his bed, unable to get up for any reason, and fed intravenously.
Lost significant hearing
On 2 February 2016 it was reported that al-Qiq had lost significant hearing, though he was still conscious and refused any medical treatment.
Lost ability to speak
On 6 February 2016 (74th consecutive day) it was reported that al-Qiq has lost his ability to speak due to his frail health, and t |
https://en.wikipedia.org/wiki/Munhwa | Munhwa (Hangul: 문화, Hanja: 文化) means culture in Korean.
It may refer to:
Munhwa Broadcasting Corporation, one of the leading South Korean television and radio networks.
Munhwa Ilbo, a daily newspaper in South Korea.
Munhwa Ryu, one of the great aristocratic houses of Goryeo and Joseon dynasty.
Munhwaŏ (North Korean standard language), the North Korean standard version of the Korean language. |
https://en.wikipedia.org/wiki/Twin%20pattern | In software engineering, the Twin pattern is a software design pattern that allows developers to model multiple inheritance in programming languages that do not support multiple inheritance. This pattern avoids many of the problems with multiple inheritance.
Definition
Instead of having a single class which is derived from two super-classes, have two separate sub-classes each derived from one of the two super-classes. These two sub-classes are closely coupled, so, both can be viewed as a Twin object having two ends.
Applicability
The twin pattern can be used:
to model multiple inheritance in a language in which multiple inheritance is not supported
to avoid some problems of multiple inheritance.
Structure
There will be two or more parent classes which are used to be inherited. There will be sub-classes each of which is derived from one of the super-classes. The sub-classes are mutually linked via fields, and each sub-class may override the methods inherited from the super-class. New methods and fields are usually declared in one sub-class.
The following diagram shows the typical structure of multiple inheritance:
The following diagram shows the Twin pattern structure after replacing the previous multiple inheritance structure:
Collaborations
Each child class is responsible for the protocol inherited from its parent. It handles the messages from this protocol and forwards other messages to its partner class.
Clients of the twin pattern reference one of the twin objects directly and the other via its twin field.
Clients that rely on the protocols of parent classes communicate with objects of the respective child class.
Sample code
The following code is a sketched implementation of a computer game board with moving balls.
Class for the game board:
public class Gameboard extends Canvas {
public int width, height;
public GameItem firstItem;
…
}
Code sketch for GameItem class:
public abstract class GameItem {
Gameboard board;
int posX, posY;
GameItem next;
public abstract void draw();
public abstract void click (MouseEvent e);
public abstract boolean intersects (GameItem other);
public abstract void collideWith (GameItem other);
public void check() {
GameItem x;
for (x = board.firstItem; x != null; x = x.next)
if (intersects(x))
collideWith(x);
}
public static BallItem newBall(int posX, int posY, int radius) { //method of GameBoard
BallItem ballItem = new BallItem(posX, posY, radius);
BallThread ballThread = new BallThread();
ballItem.twin = ballThread;
ballThread.twin = ballItem;
return ballItem;
}
}
Code sketch for the BallItem class:
public class BallItem extends GameItem {
BallThread twin;
int radius; int dx, dy;
boolean suspended;
public void draw() {
board.getGraphics().drawOval(posX - radius, posY - radius, 2 * radius, 2 * radius);
}
public void mov |
https://en.wikipedia.org/wiki/Cyberjustice | Cyberjustice is the incorporation of technology into the justice system, either through offering court services electronically or through the use of electronics within courtrooms or for other dispute resolution purposes. One of the most crucial goals of cyberjustice is increasing access to justice through both reducing the costs associated with administering justice as well as reducing the burden on the judges and the court system as a whole.
Electronic justice services
Several electronic services are available in various court systems worldwide. For example, there are several electronic courtrooms that have integrated information and communications technologies such as video-conferencing, holographic evidence presentation technology or other communications technologies in addition to various systems or applications meant to aid in the conduction of the proceedings as well as the presentation of evidence. Additionally, throughout the entire process there is what is known as an electronic case management system available to the parties, their lawyers and judges, that allow them to keep track of what is taking place in the case through the Internet and permit them to file court documents and proceedings electronically or access information relative to the case. Furthermore, many jurisdictions allow for the discovery of documents to be done electronically through the use of electronic discovery systems. Once a case has been finalized and has become public information, these court records as well as judgements can be made available electronically to members of the public.
Online dispute resolution
In addition to the use of technology for the purposes of litigation, the term cyberjustice also encompasses the domain of online dispute resolution, whose aim is to aid in the resolution of disputes prior to having to resort to the courts. Several mechanism for this type of electronic dispute resolution are available, namely cyber-negotiation, cyber-mediation and cyber-arbitration. The first can be classified as either assisted, which employs technologies for the purposes of communication, agenda development and adoption of solutions, or automated, where specialized software acts as a negotiator between the parties. For its part, cyber-mediation will often be an alternative where cyber-mediation was unfruitful and it involves a third party’s intervention to assist the parties in reaching an agreement. Finally, cyber-arbitration is different from the preceding two types of dispute resolution in that it is adjudicatory, and therefore must adhere to specified formal rules, as well as that parties never contact one another but rather communicate via an arbitrator.
Cyberjustice initiatives
Cyberjustice has been integrated into the legal systems of several jurisdictions worldwide, including the European Union, Australia, the United States of America, and Canada. Several other international initiatives have been made.
The European Union
The European U |
https://en.wikipedia.org/wiki/Blackboard%20%28design%20pattern%29 | In software engineering, the blackboard pattern is a behavioral design pattern that provides a computational framework for the design and implementation of systems that integrate large and diverse specialized modules, and implement complex, non-deterministic control strategies.
This pattern was identified by the members of the Hearsay-II project and first applied to speech recognition.
Structure
The blackboard model defines three main components:
blackboard—a structured global memory containing objects from the solution space
knowledge sources—specialized modules with their own representation
control component—selects, configures and executes modules.
Implementation
The first step is to design the solution space (i.e. potential solutions) that leads to the blackboard structure. Then, knowledge sources are identified. These two activities are closely related.
The next step is to specify the control component; it generally takes the form of a complex scheduler that makes use of a set of domain-specific heuristics to rate the relevance of executable knowledge sources.
Applications
Usage-domains include:
speech recognition
vehicle identification and tracking
protein structure identification
sonar signals interpretation.
Consequences
The blackboard pattern provides effective solutions for designing and implementing complex systems where heterogeneous modules have to be dynamically combined to solve a problem. This provides non-functional properties such as:
reusability
changeability
robustness.
The blackboard pattern allows multiple processes to work closer together on separate threads, polling and reacting when necessary.
See also
Blackboard system
Software design pattern
References
Software design patterns |
https://en.wikipedia.org/wiki/Yangon%20Tram | Yangon Tram begun service on a single tram line on 11 January 2016. Yangon previously had a tramway network which closed down during World War II. Funded by Japanese investment, the tram line service at Strand Road terminates between Wardan Jetty and Linsadaung, Botataung Township, a journey of around using a single 50-year old tram from Hiroshima Electric Railway in Hiroshima, Japan.
The rolling stock is a 3-coach tram with a seating capacity of 200 passengers. The tram runs just 6 times each day, from 8:00 am to 4:00 pm with a fare of Ks.100/-, around US$0.08.
An extension west from Wardan Jetty to Kyeemyindaing, and an extension east from Linsadaung, Botataung Township to Pazundaung Township, would bring the length of the line to ; these extensions are due to be completed later in 2016.
Yangon Tram stopped service on 1 July 2016 after only six months of running.
Rangoon tram
In British Burma, Rangoon's first tramway was built in 1884. The three standard gauge routes of the Rangoon Steam Tramway Company opened on 4th March 1884. It was a stream tramway and ran from the Strand to Shwedagon. Electric trams were introduced by 15 December 1906 and the last of the routes opened on 12 March 1908. The total tramway system consisted of five routes and a total distance of 22 km with 77 cars in operation with tram depots and a generating station at Ahlone. By the 1930s trams provided efficient public transportation all around the city of Rangoon. The tramway system were destroyed during World War II by the retreating British and Japanese air raids especially during the Japanese invasion of Burma in 1942. The generation station was reconstructed to supply electricity but was eventually nationalised in 1953 and the tramway company was dissolved in 1961.
See also
Yangon BRT
References
Tram transport in Myanmar
Metre gauge railways in Myanmar
Transport in Yangon
Defunct town tramway systems by city |
https://en.wikipedia.org/wiki/LOT%20Network | The LOT (License on Transfer) Network is a nonprofit organization that was formed to combat patent assertion entities (PAEs), also known as patent trolls, by cross-licensing patents that fall into the hands of PAEs.
Background
LOT started as a Canon, Google and Red Hat-led initiative in 2014, and its founding members were mostly technology companies. Companies from other industries such as finance and automotive have joined the network to protect themselves from the growing threat of PAEs. As of July 2020, LOT Network had more than 750 members and close to 2.5 million patent assets. Notable members of LOT include Google, Red Hat, Uber, Ford, Dropbox, Mazda, General Motors, Honda, CBS, Netflix, JPMorgan Chase, SAP, Microsoft, Tesla, Alibaba, the Wikimedia Foundation, and IBM.
The number of patent disputes in the U.S. peaked in 2015, reaching 7,500 cases. According to Unified Patents, two-thirds of these cases were filed by patent trolls. A study out of Boston University found that patent litigation results in direct losses of about $60 billion every year in the U.S.
Underlying agreement
LOT members agree to mutual non-aggression pact in which they pledge that none of their patents will ever be used by a patent troll to sue another member; however, members can still sell patents and sue other members. Cross-licensing of LOT member patents is subject to certain "triggering" events. A triggering event takes place when a patent passes to a PAE, including scenarios in which a LOT company becomes a PAE or is absorbed by a PAE. After the triggering event, the specific patents involved in the event are automatically cross-licensed to all LOT companies, blocking any potential legal action by a PAE. By pooling their patents, member companies provide immunity to one another and deter potential lawsuits from patent trolls. The group also benefits from a network effect: the more members that join, the more attractive membership becomes for other companies.
LOT members pay an annual fee for network membership. The annual fee depends on company revenues, but ranges from $1,500 to $20,000 per year (about the price of a single patent application). On September 1, 2016 LOT announced that it would waive annual membership fees until March 1, 2017 for companies with less than $5 million in annual revenues. This fee structure facilitates membership for startups and smaller companies, which are also targeted by PAEs. Over half of companies sued by PAEs make less than $10 million in revenue. In the event that a larger LOT member acquires a smaller member, the acquired company can pass on its patent license rights to its acquirer.
Activities
In 2022, LOT Network partnered with a group called Adapt (an acronym for "Advancing Diversity Across Patent Teams"), founded my leaders from Amazon, Cruise, Google, Disney, Meta, and Microsoft, to advance diversity and representation within the IP community. The company also founded an initiative to create greater transparency |
https://en.wikipedia.org/wiki/Hans%20Petter%20Langtangen | Hans Petter Langtangen (3 January 1962 – 10 October 2016) was a Norwegian scientist trained in mechanics and scientific computing. Langtangen was the director of the Centre for Biomedical Computing, a Norwegian Center of Excellence hosted by Simula Research Laboratory. He was a professor of scientific computing at the University of Oslo, and was editor-in-chief of SIAM Journal on Scientific Computing 2011–2015.
Career
Langtangen held a position as Simula Fellow with Simula Research Laboratory, Norway. In addition to his position as Director of the Centre for Biomedical Computing , he held several leading roles within the field of scientific computing in his time at the lab. The scientific computing activities at Simula have been awarded the top grade, Excellent, in all international evaluations 2001-2015.
In parallel with his work at Simula Research Laboratory, Langtangen held a professorship at the University of Oslo, being on 80% leave since the establishment of Simula in 2001. He joined the Department of Mathematics in 1991, but after being promoted to full Professor in Mechanics at the Department of Mathematics in 1998, he moved to a professorship in Computer Science in 1999.
In addition to his roles at the University of Oslo and Simula Research Laboratory, Langtangen worked at the Department of Scientific Computing at Uppsala University in an adjunct position from 1999 to 2002. Prior to that, he held full-time and part-time positions as research scientist with SINTEF Applied Mathematics from 1991 to 1997. Langtangen worked with the company Numerical Objects from 1997 to 2003; this company commercialized the Diffpack software, mainly developed by Langtangen and Are Magnus Bruaset.
Langtangen’s formal education was from the Department of Mathematics, University of Oslo. He held a MSc degree from 1985 and PhD degree from 1989, both within the field of Mechanics.
Research and teaching
Langtangen's research was interdisciplinary and revolved around applied mathematics and scientific computing with an emphasis on continuum mechanical modeling, stochastic methods and scientific software design, with applications to biomedicine and geoscience in particular. His last research is focused on cerebrospinal fluid flow in the brain and spine as well as methods for uncertainty quantification.
Langtangen was involved in the newly established Centre for Integrative Neuroplasticity (CINPLA) at the University of Oslo. He was also involved with developing and distributing scientific software to make research results more widely accessible and help accelerate research elsewhere.
For over three decades he was active with teaching and supervision. He was particularly involved in reforming science education through developing innovative courses and textbooks in the world-leading Computing in Science Education project at the University of Oslo. For this work he received the Olav Thon Foundation prize for Excellence in Teaching in 2016. Together with colle |
https://en.wikipedia.org/wiki/EMonocot | eMonocot was a collaborative global, online, biodiversity information resource provided by a number of botanical organisations to create a database on Monocotyledons. Participating institutions, all in England, included the Royal Botanical Gardens at Kew, the University of Oxford, the Natural History Museum and the Natural Environment Research Council (NERC).
Funding of the project, which included information on over 250,000 taxa, was provided through NERC. Taxonomists from around the world contributed data, although the backbone of the resource was the World Checklist of Selected Plant Families. Data was imported and compiled from a large number of international databases and resources. In 2017, Plants of the World Online superseded eMonocot, which built on the project's work.
See also
Plants of the World Online
References
External links
Developing Tools for Mapping & Identification of Monocotyledons (eMonocot). Biodiversity Institute of Oxford
eMonocot – a web taxonomic resource for plants of new scale and depth. RBG Kew
eMonocot: The Orders and Families of Monocots
UK Research and Innovation
Biodiversity
Biodiversity databases
Databases in England
Monocots
Natural Environment Research Council |
https://en.wikipedia.org/wiki/Treato | Treato was an Israeli-based data analytics company known for providing health-related insights to patients, caregivers, healthcare professionals (HCPs), hospitals and pharmaceutical companies. Treato was owned by Jackie NousNous. It was shut down in August 2018.
History
Treato was founded in 2007 as a research and development company with its headquarters located in Or Yehuda, Israel. Gideon Mantel is the current Executive Chairman, Ido Hadari is the current CEO.
Treato commenced commercial offering availability in 2011 with offices in New York City and Princeton, New Jersey. It shut down in August, 2018 as it was unable to secure sufficient funding or get an acquisition offer, and remains in a state of insolvency.
Products and services
Treato offers health data asset products and IQ services to pharmaceutical companies, healthcare marketing/advertising agencies, and other healthcare organizations. The company's social online portal serves as a platform where users can search for information about medications, health conditions and medical treatments.
References
External links
Health care companies established in 2007
Health care companies of Israel
Information technology companies of Israel
2007 establishments in Israel
Health care companies disestablished in 2018
2018 disestablishments in Israel |
https://en.wikipedia.org/wiki/Malayalam%20WordNet | Malayalam WordNet (പദശൃംഖല) is an online WordNet created for Malayalam Language. Malayalam WordNet has been developed by the Department of Computer Science, Cochin University Of Science And Technology.
History
The first WordNet to be created was the Princeton English WordNet. WordNet was created in the Cognitive Science Laboratory of Princeton University under the direction of professor G. A. Miller starting in 1985 . It was followed by EuroWordNet for European languages, based on Princeton WordNet. Hindi WordNet was the first Indian language WordNet to be created. It was developed by the Natural Language Processing group at the Center for Indian Language Technology. It was followed by IndoWordNet which was developed for 18 Indian Languages under the guidance of Dr. Pushpak Bhattacharya, Indian Institute of Technology Bombay. A WordNet for Malayalam language was developed as part of the IndoWordNet under the guidance of Dr. K.P. Soman and Dr. S. Rajendran at Amrita Vishwa Vidyapeetham, Coimbatore.
Features
Malayalam WordNet is a crowd sourced project. IndoWordNet is publicly browsable, but it is not available to edit. Malayalam WordNet allows users to add data to the WordNet in a controlled crowd sourcing manner. Either a set of experts or users itself could review the entries added by other members which helps in maintaining consistent data throughout.
It also has a JSON and XML interfaces which helps the programmers to interact with the WordNet. It would be highly useful for the researchers, language experts as well as application developers.
Team Members
Malayalam WordNet has been developed by the Department of Computer Science, Cochin University Of Science And Technology. The team is headed by Dr. Sumam Mary Idicula (Professor and Head, Department of Computer Science). The team also includes Drishya Gopinath and Varghese K. Aniyan
Relationships covered
It gives information about the meaning of the word, position in ontology, an example sentence for the synset and the following relationships:
Synsets/ Synonyms
Hyponymy and hypernymy
Holonymy
Meronymy
Antonyms
Release
The alpha version of has been launched on Feb 1,2016. The final version is released on April, 2016.
References
IndoWordnet - Dr. Pushpak Bhattacharya
DRAVIDIAN WORDNET -Dr.S.Rajendran
External links
Lexical semantics
Malayalam language |
https://en.wikipedia.org/wiki/Independent%20Practitioners%20Network | The Independent Practitioners Network (IPN) is an association of practitioners founded in 1994 working in the broad field of human development, especially counselling and the psychological therapies. It is based on a system of peer support and monitoring.
Membership of IPN is open to groups of practitioners. Individuals who have not yet joined a group are ‘participants’. They can be involved in the activities of IPN, but may not describe themselves as ‘members of IPN’.
Groups become members of the IPN by:
(a) having at least four IPN participants
(b) publishing a group code of ethics and
(c) linking to at least two other groups of IPN participants.
Practitioners may include counsellors, psychotherapists, teachers/educators, bodyworkers and others who work in a relational way with the clientele. IPN supports and encourages diversity, and so a group will typically encompass a number of different practices. Members of a group support, monitor and constructively challenge each other’s practice. They may do this in a variety of ways, providing sufficient challenge to enable them to "stand by" each practitioner in their group. The process by which this is accomplished is monitored in turn by each of the link groups.
Each member group and its two link groups may not form a closed triangle.
IPN offers a form of accreditation which differs from other institutional accrediting bodies, in that it does not monitor training organisations, but rather examines current practice and is founded in ongoing and regular face-to-face engagement with peers in a non-hierarchical framework. Individuals can describe themselves as being ‘accredited through the IPN process’.
Some practitioners may be members of other accrediting bodies, using the IPN process to ensure and maintain best practice.
Further reading
Campbell, S. and Grace, J. (2013) ‘A qualitative study on the rewards and challenges of being an Independent Practitioners Network Participant’, Self & Society: An International Journal for Humanistic Psychology, 40(4): 31–9;
Heron, J. (1997) (1997) ‘A self-generating practitioner community’, In R. House and N. Totton (eds), Implausible Professions: Arguments for Pluralism and Autonomy in Psychotherapy and Counselling (pp. 241–54). Ross- on-Wye: PCCS Books (2nd edn, 2011, pp. 264–77)
House, R. (1997a) ‘Participatory ethics in a self-generating practitioner community’, in R. House and N. Totton (eds), Implausible Professions (pp. 321–34). Ross-on-Wye: PCCS Books (2nd edn, 2011, pp. 349–62)
House, R. (2004) ‘An unqualified good: The IPN as a path through and beyond professionalisation’, Self and Society, 32 (4): 14–22; DOI: 10.1080/03060497.2004.11083800 (reprinted in R. House, In, Against and Beyond Therapy, PCCS Books, 2010, pp. 218–26)
House, R. (2007) ‘The be-coming of a therapist: experiential learning, self-education and the personal/professional nexus’, British Journal of Guidance and Counselling 35 (4): 427–40; (reprinted |
https://en.wikipedia.org/wiki/Apache%20SystemDS | Apache SystemDS (Previously, Apache SystemML) is an open source ML system for the end-to-end data science lifecycle.
SystemDS's distinguishing characteristics are:
Algorithm customizability via R-like and Python-like languages.
Multiple execution modes, including Standalone, Spark Batch, Spark MLContext, Hadoop Batch, and JMLC.
Automatic optimization based on data and cluster characteristics to ensure both efficiency and scalability.
History
SystemML was created in 2010 by researchers at the IBM Almaden Research Center led by IBM Fellow Shivakumar Vaithyanathan. It was observed that data scientists would write machine learning algorithms in languages such as R and Python for small data. When it came time to scale to big data, a systems programmer would be needed to scale the algorithm in a language such as Scala. This process typically involved days or weeks per iteration, and errors would occur translating the algorithms to operate on big data. SystemML seeks to simplify this process. A primary goal of SystemML is to automatically scale an algorithm written in an R-like or Python-like language to operate on big data, generating the same answer without the error-prone, multi-iterative translation approach.
On June 15, 2015, at the Spark Summit in San Francisco, Beth Smith, General Manager of IBM Analytics, announced that IBM was open-sourcing SystemML as part of IBM's major commitment to Apache Spark and Spark-related projects. SystemML became publicly available on GitHub on August 27, 2015 and became an Apache Incubator project on November 2, 2015. On May 17, 2017, the Apache Software Foundation Board approved the graduation of Apache SystemML as an Apache Top Level Project.
Key technologies
The following are some of the technologies built into the SystemDS engine.
Compressed Linear Algebra for Large Scale Machine Learning
Declarative Machine Learning Language
Examples
Principal Component Analysis
The following code snippet does the Principal component analysis of input matrix , which returns the and the .# PCA.dml
# Refer: https://github.com/apache/systemds/blob/master/scripts/algorithms/PCA.dml#L61
N = nrow(A);
D = ncol(A);
# perform z-scoring (centering and scaling)
A = scale(A, center==1, scale==1);
# co-variance matrix
mu = colSums(A)/N;
C = (t(A) %*% A)/(N-1) - (N/(N-1))*t(mu) %*% mu;
# compute eigen vectors and values
[evalues, evectors] = eigen(C);
Invocation script
spark-submit SystemDS.jar -f PCA.dml -nvargs INPUT=INPUT_DIR/pca-1000x1000 \
OUTPUT=OUTPUT_DIR/pca-1000x1000-model PROJDATA=1 CENTER=1 SCALE=1
Database functions
DBSCAN clustering algorithm with Euclidean distance.X = rand(rows=1780, cols=180, min=1, max=20)
[indices, model] = dbscan(X = X, eps = 2.5, minPts = 360)
Improvements
SystemDS 2.0.0 is the first major release under the new name. This release contains a major refactoring, a few major features, a large number of improvements and fixes, and some experimental features to better support th |
https://en.wikipedia.org/wiki/The%20Little%20Panda%20Fighter | The Little Panda Fighter (; previously titled Heavy's Little Bear) is a 2008 Brazilian computer-animated sports action comedy film directed by Michelle Gabriel. The film has drawn criticism as a mockbuster of the DreamWorks Animation film Kung Fu Panda.
Plot
In a small town inhabited by anthropomorphic bears, a giant panda named Pancada works at a boxing club called Bear Bar Box, as their janitor. He has dreams of one day becoming a professional dancer, despite everyone's indifference, and is in love with a brown bear waitress named Honey. His boss, a polar bear named Polaris, finds that his club isn't fairing too well, mostly due to his amazing fighter, Freak Teddy, winning all the fights he's in. Despite wanting to go in and defeat Teddy himself, the property's manager, Grizzlepuss, informs Polaris that he is under contract to not to.
Later that night, Pancada visits his dancing instructor, a small brown bear named Master Jin, who teaches him about loyalty. The following day, Polaris has found his old fighting costume- a two-piece black top, bottom and face mask- and tells Pancada to wash it for him, after they discover it smells really vile. After Polaris tells Pancada his plan to secretly fight Freak Teddy in disguise, the latter leaves, attempting to keep a cool demeanor. In the basement washroom, Pancada becomes distracted to the rhythm of the washer, resulting in the costume shrinking in the wash.
The day of the fight, Polaris, in disguise, begins the fight with Freak Teddy, while Pancada goes to a dance competition. At the fight, the costume Polaris is wearing shrinks on him, causing him to look like a Panda Bear. This leads Grizzlepuss and Honey to mistake Polaris as Pancada. Despite this, he wins, while Pancada wins the dance competition, under harsh criticism.
The following day afterward, Pancada is approached by his crush, Honey, who kisses him on the cheek, as she is impressed by his 'win'. He then, having won the dance competition the night before, erroneously believes that he is being congratulated for his dancing skills. However, a newspaper article arrives at the club, showing Pancada that he was mistaken for Polaris, and found no one was praising him for his dancing. After some words of wisdom from Master Jin, he approaches his boss in his office, attempting to blackmail him in order to enter the ring, wanting to rematch Freak Teddy to earn further praise. However, despite brief training, Pancada fights Freak Teddy, and loses badly. He then gives up.
After the fight, Pancada becomes a laughing stock again, and arrives to Polaris' office to inform him of the loss. However, Polaris informs Pancada that he had made a bet that the latter would lose the fight, and therefore, he becomes wealthy. He then hands ownership of the club to Pancada, leaving. Grizzlepuss, after finally putting two-and-two together, confronts Pancada about the scheme, though the panda simply denies this.
After Polaris retires to the icy mountains, Pancad |
https://en.wikipedia.org/wiki/GigSky | GigSky is a Palo Alto, California-based mobile technology company that provides e-SIM and SIM card-based data services to international travelers. Users connect to public data networks using a mobile app and a GigSky e-SIM or Apple SIM card. GigSky also offers services for enterprise customers, and provides mobile data for airline electronic flight bag (EFB) solutions.
History
GigSky was founded in 2010 by Ravi Rishy-Maharaj. In June 2015, Apple began offering access to the GigSky service on cellular iPads with Apple SIM.
Norwegian Air Lines started using GigSky’s service in late 2013 to support its EFB product.
In August 2016, Avionica, an avionics technology company, partnered with GigSky to offer a global flight data transmission service for airlines.
In November 2018, GigSky began offering international data eSIMs on iPhone XS, XS Max, and XR phones.
References
American companies established in 2010
Companies based in Palo Alto, California
2010 establishments in California |
https://en.wikipedia.org/wiki/The%20Final%20Fight | The Final Fight or variant may refer to:
Ip Man: The Final Fight (2013 film), Hong Kong biopic about Ip Man
Turrican II: The Final Fight (1991 video game), Commodore Amiga computer game by Factor 5
Street Fighter 2010: The Final Fight (1990 video game), NES sidescrolling beat'em up
Final Fight series of beat'em up video games from Capcom
Final Fight (video game) (1989 arcade game), video game by Capcom, first in the series
Mighty Final Fight (1993 video game), NES sidescrolling beat'em up
Final Fight 2 (1993 video game), SNES sidescrolling beat'em up
Final Fight 3 (1995 video game), SNES sidescrolling beat'em up
Final Fight Revenge (1999 video game), Sega Saturn beat'em up
Final Fight: Streetwise (2006 video game), Xbox & PS2 beat'em up
See also
Final Fight Championship, European fight promoter |
https://en.wikipedia.org/wiki/List%20of%20California%20Dreams%20episodes | California Dreams is an American teen sitcom. The series ran for five seasons, airing on NBC from September 12, 1992 to December 14, 1996, as part of the network's Saturday morning TNBC teen-focused programming block. It was created by writers Brett Dewey and Ronald B. Solomon, was produced by Franco Bario, and was executive produced by Peter Engel as his first followup to Saved by the Bell for NBC. California Dreams centered on a group of friends who form the fictional titular band.
Series overview
Episodes
Season 1 (1992)
In its first season, California Dreams was conceived as being as much a family sitcom as a teen sitcom about the titular band, which is reflected by the fact that the Garrison parents, as well as Matt and Jenny Garrison's younger brother Dennis, were a part of the cast:
Brent Gore as Matt Garrison
Heidi Noelle Lenhart as Jenny Garrison
Michael Cade as Sylvester "Sly" Winkle
Kelly Packard as Tiffani Smith
William James Jones as Tony Wicks
Michael Cutt as Mr. Richard Garrison
Gail Ramsey as Mrs. Melody Garrison
Ryan O'Neill as Dennis Garrison
Season 2 (1993–94)
In the second season of California Dreams, the Garrison family was de-emphasized – Heidi Noelle Lenhart herself left the show, and Jenny was written out in the season's third episode – and the show was refocused on the band, including the new band members – guitarist Jake, and new singer Sam Woo (from the fourth episode of season 2 on):
Brent Gore as Matt Garrison
Heidi Noelle Lenhart as Jenny Garrison
Kelly Packard as Tiffani Smith
William James Jones as Tony Wicks
Michael Cade as Sylvester "Sly" Winkle
Jay Anthony Franke as Jake Sommers
Jennie Kwan as Samantha Woo
Notes
Season 3 (1994–95)
In the third season of California Dreams, the Garrison family element was completely eliminated and Brent Gore was dropped from the show. In his place, two new cast members were added – Lorena Costa, a rich girl who effectively became the band's groupie, and new keyboardist Mark Winkle, who is Sly's cousin. The cast from the show's third season remained unchanged through the fourth and fifth seasons of the series:
Kelly Packard as Tiffani Smith
William James Jones as Tony Wicks
Michael Cade as Sylvester "Sly" Winkle
Jay Anthony Franke as Jake Sommers
Jennie Kwan as Samantha Woo
Diana Uribe as Lorena Costa
Aaron Jackson as Mark Winkle
Season 4 (1995–96)
The cast for the fourth season of California Dreams was the same as the cast for the third season.
Season 5 (1996)
The cast for the fifth season of California Dreams was the same as the cast for the third and fourth seasons.
References
External links
Lists of American sitcom episodes
Lists of American teen comedy television series episodes |
https://en.wikipedia.org/wiki/OK%20K.O.%21%20Let%27s%20Be%20Heroes | OK K.O.! Let's Be Heroes is an American animated television series created by Ian Jones-Quartey for Cartoon Network. The show is based on Jones-Quartey's pilot Lakewood Plaza Turbo, which was released as part of Cartoon Network's 2013 Summer Shorts project. It was produced by Cartoon Network Studios. The web series premiered on Cartoon Network's YouTube channel and on Cartoon Network Video on February 4, 2016.
On March 9, 2017, nearly four years after the original short's premiere, Cartoon Network announced that the television series had been greenlit, and it premiered on August 1, 2017. The opening sequence was storyboarded by Japanese artist Hiroyuki Imaishi, co-founder of Studio Trigger.
On December 4, 2017, the series was confirmed to be renewed for a second season, which premiered on March 18, 2018. A third and final season, which was announced on June 26, 2019, premiered on July 7, 2019; the final episode aired on September 6, 2019.
As of August 2022, the show has been available on Hulu. It was also made available on HBO Max after its launch, but was one of several shows removed in August 2022 as a result of the Warner Bros. Discovery merger.
Premise
OK K.O.! Let's Be Heroes is set in the retro-futuristic year of 201X. The series follows the titular character, K.O., and his efforts to become the world's greatest hero while working at Gar's Bodega (run by Mr. Gar), a hero supply shop in Lakewood Plaza Turbo. Alongside him are his best friends and co-workers Radicles, a narcissistic alien, and Enid, a levelheaded big sister–like ninja, as well as other heroes who work in the area.
Episodes
Main voice cast
Courtenay Taylor as K.O., T.K.O., Blue Power, Whistle, Baby Shannon, Hon Dew
Ashly Burch as Enid (series and shorts), Gladys, Ms. Mummy, Foxy, Cherry, Ball Monster, Rippy Roo, Baby Teeth, Glitter Starlight, Tumbles, Plazamo ("Dark Plaza"), Hamster, Classmate 1 & 2 ("You're a Good Friend, KO!")
Ian Jones-Quartey as Radicles, Darrell, Crinkly Wrinkly, Cookie Man, Pird (episode 11), Frat Boy 2, Gregg, Point Trooper, Drone ("Mystery Sleepover"), URL, Gauntlet, Pickle, Nerd 2, Janner
David Herman as Mr. Gar, Brandon, Jethro, Mad Sam, Beardo, Rat, Steamborg Robot, Young Crinkly Wrinkly, Action News Narrator, Heroic Guy, Boxgar, Dragon
Kate Flannery as Carol, Gertie (in the pilot)
Jim Cummings as Lord Boxman, Boxman Jr., Gar-Man, Mecha-Maw, Robbie
Melissa Fahn as Dendy, Mikayla, Krissa, Monkey, Genesis
Kari Wahlgren as Shannon, Chillcat, Tumbles, Mrs. Gnarlio, Vormulax, Kid, P.O.I.N.T. HQ, Barista Pup, Wavezilla, Grandma
Robbie Daymond as Raymond, Co-Bruh, Rex, Announcer ("Beach Episode")
Chris Niosi as Nick Army, Pird, Ernesto, Neil, Face of Fear, Male Lead, Soloist, Anxious Ricky, Wistful Pete, Drone
Reshma Shetty as Elodie
Mary Elizabeth McGlynn as Dynamite Watkins, Miss Quantum, Snake
Cole Sanchez as Colewort, Topher, Driver, Plaque, Point Trooper
Melissa Villaseñor as Potato, Punching Judy, Drupe, Gertie, Ginger, Mega |
https://en.wikipedia.org/wiki/Radio%20M | Radio M is a Bosnian commercial radio station, broadcasting from Sarajevo.
History and programming
As the first independent radio station in ex-Yugoslavia and the wider Balkan region, Radio M is entered in the Register of Public Media in 1990. Radio began broadcasting on 18 September 1990 and it was formatted as a city music radio station that broadcasts only the greatest music hits.
The station focuses on contemporary pop music, Bosnian music and national news.
Frequencies
The program is currently broadcast on 5 frequencies:
Sarajevo
Banja Luka
Tuzla
Zenica
Bihać
See also
List of radio stations in Bosnia and Herzegovina
References
External links
Communications Regulatory Agency of Bosnia and Herzegovina
Radio M page on Facebook
Sarajevo
Radio stations established in 1990
Mass media in Sarajevo |
https://en.wikipedia.org/wiki/List%20of%20busiest%20airports%20in%20North%20America | This is a list of the 50 busiest airports in North America. List is ranked by total passengers per year. Data is sourced from annual reports provided by Airports Council International. Tables also show the percentage change in total passengers for each airport as well as change in ranking in comparison to the previous year. Historic rankings dating back to 2013 are also presented.
Evolution in graph
2020
2019
2018
2017
2016
2015
2014
2013
See also
List of the busiest airports in the United States
List of the busiest airports in Canada
List of the busiest airports in Mexico
List of the busiest airports in the Caribbean
List of the busiest airports in Central America
References
North America
Airports in North America
Aviation in North America
Busiest |
https://en.wikipedia.org/wiki/RSG%20Radio | RSG Radio is a Bosnian commercial radio station, broadcasting from Sarajevo.
History and programming
Radio Stari Grad was founded on 23 January 1993 and it was conceived as a radio service for Old Town area of Sarajevo (During the Siege of Sarajevo).
Responsible way of doing business and fair relationship with listeners, have greatly contributed to the extremely positive image, which RSG enjoyed in professional media circles, and the general public. Motivated and creative employees, loyal audience, the wealth of programs, build infrastructure, strong marketing and exceptional social status, benefits are where RSG Radio bases its ambitious plans.
RSG Radio is part of the informal media group in the radio market of Bosnia and Herzegovina called RSG Group.
The station focuses on contemporary pop music, popular game shows and national news. RSG also has traffic service where listeners can find more information by calling the toll-free call center (0800 510 10). Latest national news broadcast on the full hour, while the Sarajevo city news are broadcast every half-hour. Media servis produces all the news for RSG and Antenna Sarajevo. The program is also broadcast via web and satellite (Eutelsat W2, 16 degrees E, frequency 11262, symbol rate 30000, FEC 2/3)
RSG Group
RSG Group consists of two radio programs RSG Radio and Antena Sarajevo (sister radio station founded as RSG1 Sarajevo in 2009), marketing agency and production – Netra, radio news production services – Media servis, and web portals and .
Frequencies
The program is currently broadcast at 4 frequencies in 11 Bosnian cities:
Sarajevo
Banja Luka
Zenica
Tuzla
Mostar
Doboj
Bihać
Brčko
Travnik
Goražde
Trebinje
Čapljina
Neum
Mostar
Drežnica
Višegrad
Konjic
Travnik
Bugojno
Fojnica
References
External links
Official website RSG Radio
Official website Antena Sarajevo
Communications Regulatory Agency of Bosnia and Herzegovina
RSG in Facebook
RSG in Twitter
See also
List of radio stations in Bosnia and Herzegovina
Sarajevo
Radio stations established in 1993
Mass media in Sarajevo |
https://en.wikipedia.org/wiki/Face-pic | Face-pic was a social networking website which at one time had almost 2.5 million subscribers, and drew a large number of its users from the 16–24 age range in the United Kingdom. The website was created by friends Dave Ames and Mark Bruce in Stevenage in December 1999; a second version of the site followed in November 2001. The website eventually fell into financial difficulties and was bought by Symbios Group in October 2008 as part of a bid to build a social networking userbase with other social sites, including ProfileHeaven.com and Faces.com, to be relaunched under the Faces brand giving the company around 1.5 million members. Some of the original user base transferred to Faces.com, which is relaunching as a free dating site.
References
British social networking websites
Defunct websites
Technology companies established in 1999
Technology companies disestablished in 2008
1999 establishments in the United Kingdom |
https://en.wikipedia.org/wiki/DXMJ | DXMJ (97.1 FM) was a radio station owned and operated by GMA Network subsidiary Radio GMA. It was formerly known as Campus Radio from its inception in 1996 to 2010, when it closed shop due to lack of advertisers' support and financial problems.
References
Radio stations in Zamboanga City
Radio stations established in 1996
Radio stations disestablished in 2010
Defunct radio stations in the Philippines |
https://en.wikipedia.org/wiki/7flix | 7flix is an Australian free-to-air digital television multichannel, which was launched by the Seven Network on 28 February 2016.
7flix targets a variety of viewers and offers drama, comedy, reality, docusoap, and movies.
History
On 18 December 2015, a test pattern began broadcasting on channel 76, reading "New Channel Coming Soon". Seven acknowledged the broadcas,t and director of programming , Angus Ross, formally announced on 1 February 2016 that Seven was launching a new channel, and more details would be released soon. During the ad-break of miniseries Molly on 7 February 2016, Seven announced that channel 76 would be named 7flix, and would be launched on 28 February 2016. The "New Channel" test pattern then was replaced with a continuous promo loop for 7flix.
7flix began broadcasting at 6am on 28 February 2016 in MPEG-4, as seen in a YouTube video showing the promo loop ending and a re-run of Once Upon A Time starting afterwards. The channel airs movies in its prime time slots with television series and other entertainment at other times. 7flix was added to Seven's live-streaming service, PLUS7 Live, upon its launch.
On 13 April 2016, it was announced the channel would amend its schedule, shifting its focus from movies to more American dramas. This change began in the weeks prior, when Grey's Anatomy premiered at 8:30pm, which was initially designated as a "movie-exclusive" time slot. The change also saw the addition of repeats of Criminal Minds to Thursday nights.
On 3 June 2016, 7flix became available on more TVs as the channel switched to MPEG-2.
On 3 August 2017, 18 months after launching in metropolitan areas, Prime7 announced that it would carry 7flix to regional stations in northern and southern New South Wales, regional Victoria and Mildura. The channel launched at 6:00 am on 3 September on digital channel 66, in an MPEG-4 format.
In December 2019, the Seven Network announced that 7flix would rebrand in 2020 to target a young female audience. In July 2020, the Seven Network unveiled its new rebranding of 7flix, with a new purple ribbon-like design and text and on air graphics to coincide with the revamp of its multichannel stations.
Programming
The launch titles for 7flix included new episodes of US series Once Upon A Time, The Muppets, The Mindy Project, Cougar Town, and The Amazing Race, which had previously debuted on the Seven Network. Premiere series such as Black-ish, Grandfathered, Galavant and Agent Carter debuted at a later date. Throughout 2016, new episodes of Agents of S.H.I.E.L.D., Grey's Anatomy, How to Get Away with Murder, Quantico and Scandal aired exclusively on the channel. Also featured on the channel were marathons of The Big Bang Theory, but this series now is on 10 Peach.
7flix initially aired a variety of children's series from Disney including Austin & Ally, Dog with a Blog, I Didn't Do It, Jessie, Kirby Buckets, Lab Rats and Mighty Med. The daytime schedule for the channel consists of classic sitc |
https://en.wikipedia.org/wiki/DXND | DXND (90.1 FM) was a radio station owned and operated by GMA Network, Inc. The station's studio and transmitter were located at the Norpen Bldg., Roxas Ave., Brgy. Poblacion, Iligan.
History
DXND was launched on March 1, 1995, as Campus Radio 90.1, carrying a mass-based format. On March 1, 2004, it rebranded as 90.1 Wow FM, similar to its sister station in Davao (now Barangay FM 103.5 Davao). It lasted until February 14, 2007, when it brought back its Campus Radio branding. On February 17, 2014, it became a relay station of DZBB in Manila. In the 1st quarter of 2022, it rebranded simply as DXND with the slogan Ang FM ng Iligan. It reduced its simulcasting of DZBB to give way to automated music programming at times. As of October 2022, the station is off the air.
References
See also
GMA Network
Radio stations in Iligan
News and talk radio stations in the Philippines
Radio stations established in 1995
Super Radyo stations |
https://en.wikipedia.org/wiki/Factory%20Bot%20%28Rails%20Testing%29 | Factory Bot, originally known as Factory Girl, is a software library for the Ruby programming language that provides factory methods to create test fixtures for automated software testing. The fixture objects can be created on the fly; they may be plain Ruby objects with a predefined state, ORM objects with existing database records or mock objects.
Factory Bot is often used in testing Ruby on Rails applications; where it replaces Rails' built-in fixture mechanism. Rails' default setup uses a pre-populated database as test fixtures, which are global for the complete test suite. Factory Bot, on the other hand, allows developers to define a different setup for each test and thus helps to avoid dependencies within the test suite.
Factories
Defining Factories
A factory is defined by a name and its set of attributes. The class of the test object is either determined through the name of the factory or set explicitly.
FactoryBot.define do
# Determine class automatically
factory :user do
name { "Captain Minion" }
superhero { false }
end
# Specify class explicitly
factory :superhero, class: User do
name { "Tony Stark" }
superhero { true }
end
end
Features
Traits
Traits allow grouping of attributes which can be applied to any factory.
factory :status do
title { "Seeking for Full Time jobs" }
trait :international do
international { true }
end
trait :resident do
international { false }
end
trait :comp_sci do
comp_sci { true }
end
trait :electrical do
comp_sci { false }
end
factory :comp_sci_international_student, traits: [:international, :comp_sci]
factory :electrical_resident_student, traits: [:resident, :electrical]
end
Alias
Factory Bot allows creating aliases for existing factories so that the factories can be reused.
factory :user, aliases: [:student, :teacher] do
first_name { "John" }
end
factory :notice do
teacher
# Alias used ''teacher'' for ''user''
title { "Office Hours" }
end
factory :notification do
student
#Alias used student for user
title { "Lecture timings" }
end
Sequences
Factory Bot allows creating unique values for a test attribute in a given format.
FactoryBot.define do
factory :title do
sequence(:name) {|n| "Title #{n}" }
# Title 1, Title 2 and so on...
end
end
Inheritance
Factories can be inherited while creating a factory for a class. This allows the user to reuse common attributes from parent factories and avoid writing duplicate code for duplicate attributes. Factories can be written in a nested fashion to leverage inheritance.
factory :user do
name { "Micheal" }
factory :admin do
admin_rights true
end
end
admin_user = create(:admin)
admin_user.name # Micheal
admin_user.admin_rights # true
Parent factories can also be specified explicitly.
factory :user do
name { "Micheal" }
end
factory :admin, parent: :user do
admin_user { true }
end
Callback
Factory Bot allows custom code to b |
https://en.wikipedia.org/wiki/Mike%20%22Zappy%22%20Zapolin | Mike "Zappy" Zapolin is an American entrepreneur who is considered a pioneer in the domain name industry. He has created Internet brands that have included Music.com, Beer.com, Computer.com, Creditcards.com, Diamond.com and PrescriptionDrugs.com. He is a public speaker and also the creator of the eBusiness elective offered at Harvard Business School. Zapolin is currently the CEO of Zappy Incorporated, a cannabis development company.
Zapolin was in direct marketing before purchasing domain names as an investment. He worked in infomercials and was even interviewed by Katie Couric on The Today Show. Zapolin began purchasing domain names in popular categories such as Beer.com – which he purchased for $80,000 – later selling it for $7 million. He also purchased Diamond.com for $300,000 and later sold it for $7.5 million. Both sales are listed among the top prices paid for domain names. During this time he was one of three people running the domain name investment company Internet Real Estate Group.
Zapolin is also a filmmaker. He directed the documentary film with Deepak Chopra and Michelle RodriguezThe Reality of Truth.
Zappy was the winner of the Amsterdam Film Festival's Van Gogh award for Documentary Directing, now having over 1.5 million views on YouTube and being available on Amazon Prime and Gaia.
Mike Zapolin also is co-founder of Documercial Group, a multimedia company that captures process and protocols in photos and video for different products and services brands to create content for causes and projects that help to make a more conscious world.
See also
List of most expensive domain names
References
External links
Mike "Zappy" Zapolin official website
The Reality of Truth documentary
http://lexington.wickedlocal.com/news/20160907/michael-zappy-zapolins-documentary-focuses-on-hallucinatory-experience
21st-century American businesspeople
Living people
American technology executives
Date of birth missing (living people)
Place of birth missing (living people)
Year of birth missing (living people) |
https://en.wikipedia.org/wiki/Cottalango%20Leon | Cottalango Leon (born 1971) is an Indian-American computer graphics technician who won the Academy Award for scientific and technical achievement jointly with Sam Richards and J. Robert Ray in 2016.
Leon won the Academy Award for "the design, engineering and continuous development" of Sony Pictures Imageworks itView technology, a digital 3D film review software. Leon worked on the itView technology for eight years as the chief contributor.
Schooled in India, Leon is an Arizona State University alumnus. He has worked at Sony Pictures Imageworks since 1996, and has contributed to the making of several commercially successful films, including the Spider-Man (2002 film series)Spider-Man film series and the Men In Black film series.
Early life and family
Leon was born at his mother's family residence in Thoothukudi, Tamil Nadu in 1971. Both his parents – mother Rajam Mariasingam and father Loorthu – were primary school teachers. When Leon was young, his parents moved from the south of Tamil Nadu to Coimbatore. Leon's early years were spent in this city – a place he still visits every two years.
Leon attended the Government High School at Kallapalayam, a village in the Sultanpet Block of Coimbatore. After studying here till grade VII, he studied from grade VIII to grade XII at Kadri Mills High School in Coimbatore. During his childhood, Leon became interested in the subjects of mathematics and science, and also developed, as per him, a keen interest in "the visual aspect of movies". Subsequently, Leon attended college at the PSG College of Technology from 1988 till 1992, completing his Bachelor of Engineering degree in computer science. He completed his M.S. in computer science from Arizona State University in 1996, specialising in computer graphics.
Leon married Roopa in 2001. Roopa also belongs to southern Tamil Nadu, having lived there till her marriage to Leon. The couple have a daughter Shruthi and live in Culver City.
Career
After graduating, Leon joined the New Delhi firm Softek LLC and worked with them for two years till 1994. As per Leon, during this time, he became inspired by Jurassic Park after watching the film and decided to pursue his career in the technologies used in its making. After completing the master's degree at Arizona State University in 1996, Leon worked for a short time as a video game programmer with DreamWorks Interactive, before joining Sony Pictures Imageworks in 1996, where he continues working to date, currently holding the position of Principal Software Engineer.
At Imageworks, as per Leon, he was asked to develop an improved digital film review software as an alternative to a then existing software. Leon released the initial version within two months of having been assigned the job; after receiving positive feedback from the artists using the software, Leon kept updating various functionalities of the software over the years. This digital 3D film review software, itView, led Leon to get an Academy Award in 2016 |
https://en.wikipedia.org/wiki/I%20Love%20OPM | I Love OPM (stylized as I ♥ OPM: Original Pinoy Music) is a Philippine reality music competition show on ABS-CBN network hosted by Anne Curtis and Eric Nicolas. It premiered on ABS-CBN and worldwide on The Filipino Channel on February 13, 2016 and ended on April 23, 2016 replacing Dance Kids on Pilipinas Got Talent's timeslot, it was shown on ABS-CBN every Saturdays after MMK and Sundays after Rated K.
Format and conception
100% foreigners will compete against each other in singing competition using Filipino songs and most notably the Original Pilipino Music genre. Originally conceived in 2014, the show initially had apl.de.ap as the host but had to decline after scheduling conflicts. Upon being requested as judges, Martin Nievera and Lani Misalucha agreed to participate. Singer-actress Donna Cruz was originally the third judge but the delay in production forced her to withdraw due to personal commitments. Cruz vouched for singer and friend Regine Velasquez to take her place, but since Velasquez renewed her contract with rival station GMA Network, Velasquez was unable to commit despite expressing interest to reunite with peers Nievera and Misalucha. Toni Gonzaga was tapped to be the third judge.
The contestants dubbed as "Touristars" must initially go through 2 rounds which each advancement to another round being termed as "passing a Gate". The audition phase shall determine the 24 contestants to "pass through Gate 1" or qualify to the next round. On the second round to pass Gate 2, the 24 contestants that qualified the audition phase will be group into 4 to compete against each other. Only two contestants per group can advance to the next round. The top two contestants will automatically get a chair, while the third and fourth contestants needs to Bump Off the former by surpassing the current high scores. On the third round, the contestants are grouped in to three to compete for Kababayan's Choice and Judge's Choice. After each performance, the live audience will give a Love Heart or Broken Heart to vote. The contestant with the highest Love Heart will be the Kababayan's Choice. The judges will then choose between the two remaining contestant to be the Judge's Choice.
Each gates corresponds to audition (Gate 1: The Audition), elimination round (Gate 2: The Bump Off), quarter finals (Gate 3: The Kababayan Bump Off), semi-finals (Gate 4: The Take Off), and finals (Gate 5: The Grand Destination).
Episodes
I ♥ OPM: Original Pinoy Music premiered on ABS-CBN and worldwide on The Filipino Channel on February 13, 2016 and ended on April 23, 2016 replacing Dance Kids.
Gate 1: The Audition
Each touristars must get at least 2 from Himigration Officers (Himigration is a portmanteau of the Filipino word himig which means "melody" and the word immigration) to proceed to the next round. When they get 2 , they are eliminated from the competition.
Episode 1 (February 13, 2016)
Episode hashtag: #ILoveOPM
Episode rating: 24.8%
Episode 2 (February 14, 201 |
https://en.wikipedia.org/wiki/Norman%20Fenton | Norman E. Fenton (born 1956) is a British mathematician and computer scientist. He is the Professor of Risk Information Management in the School of Electronic Engineering and Computer Science at Queen Mary University of London. He is known for his work in software metrics and is the author of the textbook Software Metrics: A Rigorous Approach, as of 2014 in its third edition.
Education
Fenton received his bachelor's degree in mathematics from the London School of Economics in 1978. He earned his Master of Science in 1978 and Doctor of Philosophy in 1981 at the University of Sheffield. At Sheffield he was the second research student of Peter Vámos. His doctoral thesis was "Representations of Matroids".
Career
Fenton was a postdoctoral fellow in the mathematics department at University College Dublin from 1981 to 1982 and the Mathematics Institute of the University of Oxford from 1982 to 1984. At the end of that period he changed fields and began publishing papers on structured programming with Robin W. Whitty and Agnes A. Kaposi. In 1984 he joined the department of Electrical and Electronic Engineering at South Bank Polytechnic in London where he headed the Centre for Software and Systems Engineering research group. He began to publish on software metrics as well as program structure.
In 1989 Fenton moved to City University as a reader in software reliability, and became a professor of Computing Science in 1992.
In 1998, Fenton, along with Martin Neil and Ed Tranham, set up the company Agena Ltd in Cambridge. Fenton was CEO between 1998 and 2015 and remains a director. In 2000, Fenton joined Queen Mary University of London (School of Electronic Engineering and Computer Science) where he works as a part-time professor. He is director of the Risk and Information Management Research Group.
Selected publications
Textbooks
Articles
References
External links
Faculty website
1956 births
Living people
British mathematicians
Academics of Queen Mary University of London
Alumni of the London School of Economics
Alumni of the University of Sheffield
People educated at Ilford County High School |
https://en.wikipedia.org/wiki/Romanian%20Statistical%20Yearbook | The Romanian Statistical Yearbook () is an annual publication of the National Institute of Statistics that presents data about the economic and social situation in Romania.
The first yearbook appeared in 1902. The second, from 1912, came to over 800 pages, and presented data regarding the country's economic and social evolution over the previous decade. A third edition, covering the years 1915-1916, was begun in 1916 but did not appear until 1919, due to World War I. The next yearbook, covering 1922, came in 1923, and was followed by annual editions through 1940, a few of them describing two years. The 1931 edition was notable for incorporating data from the 1930 census and the 1931 election. For the first time, the 1931-1932, 1933 and 1934 editions included detailed data about the main exports from the 1929-1932 period, as well as statistics relating to the census of school-age children. The 1934 yearbook contained detailed information about agriculture, particularly in regard to the surface area devoted to fruit trees, the state of zootechnics and the number of tractors. The 1939-1940 yearbook was the final one before the communist regime resumed their publication after a 17-year gap. Annual statistical communiqués helped compensate for this absence in the 1945-1948 period.
The next yearbook was published in 1957 and covered the years 1951-1955. Its authors noted that older data were adapted to current methodology, and that they were recalculated for the current national territory, which was smaller than that of Greater Romania. For the remainder of the regime's existence, which came to an end with the Romanian Revolution of 1989, yearbooks continued to appear annually. The editions of 1987, 1988 and 1989 were brochures of around 100 pages that indicated exponential growth in all areas of economic and social activity. The 1990 yearbook readopted the practice of including a number of indicators for the country's economic and social evolution. During the 1990s, the yearbook returned to a length of 700-1000 pages. Beginning in 1990, in the interests of transparency, relevance and credibility, the yearbook featured indicators previously hidden from public view. Examples include the use of economic resources, gross domestic product, national wealth, energy, housing and income, spending and consumption of the populace. The authors focused on aligning with international standards as well as including correct and comprehensive data for users of statistical information. The 2009 yearbook appeared in a special jubilee edition commemorating 150 years of official statistics in Romania.
The yearbook includes the most recent data available in order to draw a picture of the economic situation and of the main economic indicators' evolution over the preceding few years. It is divided into twenty-three chapters: geography, meteorology and environment; population; workforce; income, spending and consumption; housing and public utilities; security and social as |
https://en.wikipedia.org/wiki/VIPRE | VIPRE Security Group, (also known as VIPRE or VIPRE Security) a brand of Ziff Davis, is a privately held cybersecurity company headquartered in New York.
VIPRE develops cybersecurity products focused on endpoint and email security along with advanced threat intelligence applications. VIPRE is based globally with operations in Clearwater, Florida, Washington D.C., Vancouver B.C., Keele, United Kingdom, Dublin, Ireland, Copenhagen, Denmark, Stockholm, Sweden, Amsterdam, Netherlands and in Oslo, Norway.
Corporate history
The company was originally founded in 1994 as Sunbelt Software, which was acquired in 2010 by GFI Software.
In 2013 Sunbelt Software was spun off and renamed to ThreatTrack Security.
In 2017 they were concentrating on their VIPRE suite and the company now uses that name. The VIPRE portfolio now encompasses endpoint security, with heritage from original Sunbelt Software anti-virus products, email security, with heritage from the UK company Fusemail, Comendo, StaySecure, WeCloud, iCritical and ElectricMail products that had previously been acquired by j2, and security awareness training via the acquisition of Inspired e-Learning.
VIPRE was featured in a PC World Magazine article.
In February 2018 it was acquired by j2 Global.
Acquisitions
References
Computer network security |
https://en.wikipedia.org/wiki/Apache%20Calcite | Apache Calcite is an open source framework for building databases and data management systems. It includes a SQL parser, an API for building expressions in relational algebra, and a query planning engine.
As a framework, Calcite does not store its own data or metadata, but instead allows external data and metadata to be accessed by means of plug-ins.
Several other Apache projects use Calcite.
Hive uses Calcite for cost-based query optimization;
Drill and Kylin use Calcite for SQL parsing and optimization;
Samza and Storm use Calcite for streaming SQL.
, Apex, Phoenix and Flink have projects under development that use Calcite.
References
Relational database management systems
Calcite
Software using the Apache license
Free software programmed in Java (programming language) |
https://en.wikipedia.org/wiki/Apache%20Kylin | Apache Kylin is an open source distributed analytics engine designed to provide a SQL interface and multi-dimensional analysis (OLAP) on Hadoop and Alluxio supporting extremely large datasets.
It was originally developed by eBay, and is now a project of the Apache Software Foundation.
History
The Kylin project was started in 2013, in eBay's R&D in Shanghai, China. In Oct 2014, Kylin v0.6 was open sourced on github.com with the name "KylinOLAP".
In November 2014, Kylin joined Apache Software Foundation incubator.
In December 2015, Apache Kylin graduated to be a Top Level Project.
In March 2016, Kyligence, Inc. was founded by the creators of Apache Kylin. Kyligence provides a commercial analytics platform based on Apache Kylin for on-premise and cloud-based datasets.
Architecture
Apache Kylin is built on top of Apache Hadoop, Apache Hive, Apache HBase, Apache Parquet, Apache Calcite, Apache Spark and other technologies. These technologies enable Kylin to easily scale to support massive data loads.
Kylin has the following core components:
REST Server: Receive and response user or API requests
Metadata: Persistent and manage system, especially the cube metadata;
Query Engine: Parse SQL queries to execution plan, and then talk with storage engine;
Storage Engine: Pushdown and scan underlying cube storage (default in HBase);
Job Engine: Generate and execute MapReduce or Spark job to build source data into cube;
Users
Apache Kylin has been adopted by many companies as their OLAP platform in production. Typical users includes eBay, Meituan, XiaoMi, NetEase, Beike, Yahoo! Japan.
Roadmap
Apache Kylin roadmap (from Kylin website):
Hadoop 3.0 support (Erasure Coding) - completed (v2.5)
Fully on Spark Cube engine - completed (v2.5)
Connect more data sources (MySQL, Oracle, SparkSQL, etc) - completed (v2.6)
Real-time analytics with Lambda Architecture - completed (v3.0)
Cloud-native storage (Parquet) - In progress (v4.0.0-alpha)
Ad hoc queries without Cubing
References
Kylin
Free software
Java (programming language)
Relational database management systems |
https://en.wikipedia.org/wiki/List%20of%20Underbelly%20episodes | Underbelly is an Australian television true crime-drama series which first aired on the Nine Network on 13 February 2008 and last aired 1 September 2013. Each series was based on real-life events. There have been six series in total.
Series overview
Episodes
Series 1: Underbelly (2008)
Series 2: A Tale of Two Cities (2009)
Series 3: The Golden Mile (2010)
Series 4: Razor (2011)
Series 5: Badness (2012)
Series 6: Squizzy (2013)
Ratings
See also
Telemovies
Underbelly Files: Tell Them Lucifer was Here
Underbelly Files: Infiltration
Underbelly Files: The Man Who Got Away
Underbelly Files: Chopper
Spin-offs
Underbelly NZ: Land of the Long Green Cloud
Fat Tony & Co.
Informer 3838
References
Underbelly
Underbelly
Australian crime-related lists |
https://en.wikipedia.org/wiki/NNI%20News | NNI News or News Network International (NNI) is a private-operated national news agency of Pakistan. It is a Pakistan's most prominent news agency after Associated Press of Pakistan (APP) and competitor of INP, ANN, Online, INN, PPA and SABAH. It was established in 1992 and headquartered in G-7 zero point, Islamabad. It also has offices in other major cities of Pakistan including Lahore, Karachi, Quetta and Peshawar. It has hundreds of reporters, Bureau chief across the Pakistan and around the globe to cover national and international issues. It provides services in both languages Urdu and English. In 2013, an NNI photographer killed in a blast.
References
News agencies based in Pakistan
State media |
https://en.wikipedia.org/wiki/Oran%20Metro | The Oran Metro (Arab : مترو وهران) is planned to be an extensive network of rapid transit electrified railway lines that will run mostly underground in central Oran and into the city's suburbs. It will be part of the larger public transport system of Oran, the second largest city in Algeria.
History
The Oran metro project was launched in 2008, with its construction then planned to start in 2014. Phase 1, with a length of , will start south of Oran and go to Hai Badr district then cross Mouahidine before meeting the Oran tramway in Sidi El Bachir. The route would then serve the SNTF railway station and the headquarters of the Wilaya of Oran. The Metro will then continue north east of the city along Hai Mactaa Gambetta and finally along the Millennium Boulevard and arrive at Bir El Djir.
In January 2014, despite the technical study not being completed, it was announced that a tender involving international bidders would be launched for the first section, after the finalisation of the technical study. The first section, which would have a length of and 13 stations was then estimated to open for public operation by 2020.
In March 2014, the director of transportation of the Oran Wilaya, with representatives of the project owner Enterprise Metro d'Alger (EMA) advised that the technical study had been finalized. The expected cost of the project was estimated to be 138 billion Algerian dinars (1.3 billion euros) and would have a length of and comprise 20 stations. The start of construction was scheduled for the end of 2014 for the first stage.
External links
Oran Metro
Sener infrastructures Transport - Oran Metro
Subways.net Oran Metro
Metro
Underground rapid transit in Algeria
Electric railways in Algeria
Rail transport in Algeria
Proposed public transport |
https://en.wikipedia.org/wiki/CloudKit | CloudKit is an integrated macOS, iOS, iPadOS, watchOS, and tvOS API that functions as a backend as a service (BaaS). CloudKit is the framework that powers iCloud on those operating systems and on the web.
Services
Application developers can utilize CloudKit for integrated access to Apple's iCloud servers into iOS and macOS applications. The framework provides authentication, a private database, a public database and structured asset storage services allowing developers to focus on client-side development. It is the foundation for both iCloud Storage and iCloud Photo Library.
CloudKit also offers several APIs to access the iCloud Storage, where a user can store data and files so that they can be easily accessible from other devices.
Reception
Developers claim that this framework "replaces back-end web services like old-school databases, file storage and user authentication systems."
See also
Parse (company)
References
Apple Inc. services
Cloud infrastructure
Application programming interfaces
Software frameworks
Apple Inc. developed frameworks |
https://en.wikipedia.org/wiki/Firewalld | firewalld is a firewall management tool for Linux operating systems. It provides firewall features by acting as a front-end for the Linux kernel's netfilter framework. firewalld's current default backend is nftables. Prior to v0.6.0, iptables was the default backend. Through its abstractions, firewalld acts as an alternative to nft and iptables command line programs. The name firewalld adheres to the Unix convention of naming system daemons by appending the letter "d".
firewalld is written in Python. It was intended to be ported to C++, but the porting project was abandoned in January 2015.
Features
firewalld supports both IPv4 and IPv6 networks and can administer separate firewall zones with varying degrees of trust as defined in zone profiles. Administrators can configure Network Manager to automatically switch zone profiles based on known Wi-Fi (wireless) and Ethernet (wired) networks, but firewalld cannot do this on its own.
Services and applications can use the D-Bus interface to query and configure the firewall. firewalld supports timed rules, meaning the number of connections (or "hits") to a service can be limited globally. There is no support for hit-counting and subsequent connection rejection per source IP; a common technique deployed to limit the impact of brute-force hacking and distributed denial-of-service attacks.
firewalld's command syntax is similar to but more verbose than other iptables front-ends like Ubuntu's Uncomplicated Firewall (ufw). The command-line interface allows managing firewall rulesets for protocol, ports, source and destination; or predefined services by name.
Services are defined as XML files containing port- and protocol-mappings, and optionally extra information like specifying subnets and listing required Kernel helper modules.
The syntax resembles that of systemd's service files. A simple service file for a web server listening on TCP port 443 might look like this:
<?xml version="1.0" encoding="utf-8"?>
<service>
<short>Web Server</short>
<description>Public web host over HTTPS.</description>
<port port="443" protocol="tcp" />
</service>
Forward and output filtering
firewalld v0.9.0 added native support for forward and output forwarding via policy objects. This allows filtering traffic flowing between zones. Policies support most firewalld primitives available to zones: services, ports, forward-ports, masquerade, rich rules, etc.
Limitations
By default firewalld does not block outbound traffic as required by standards such as NIST 800-171 and 800-53. However, an outbound block can be added with a policy.
Graphical front-ends (GUIs)
firewall-config is a graphical front-end that is optionally included with firewalld, with support for most of its features.
firewall-applet is a small status indicator utility that is optionally included with firewalld. It can provide firewall event log notifications as well as a quick way to open firewall-config. firewall-applet was ported from the GTK+ to the |
https://en.wikipedia.org/wiki/DAPHNE%20platform | The DAPHNE platform, or DAta-as-a-service Platform for Healthy lifestyle and preventive mediciNE, is an ITC ecosystem that uses software platforms, such as HealthTracker, to track individual health data on users or patients so that health service providers can provide personalised guidance remotely to the users or patients in terms of health, lifestyle, exercise and nutrition. It is led by Treelogic SL and partially funded by the European Union 7th Framework Programme for information and communication technology research. The project is listed in the European Commission CORDIS project listings.
Description
DAPHNE is an acronym for ‘DAta-as-a-service Platform for Healthy lifestyle and preventive mediciNE’ with the objective to develop and test methods for utilising personal activity and fitness information. According to a 2016 article in Procedia Computer Science, the DAPHNE platform and project was developed in response to "growing concerns about obesity". DAPHNE purpose was to develop a digital ecosystem using information and communications technology (ITC) through software such as HealthTracker, to connect patients and their physicians remotely. provide a means for remote personal guidance from the Physicians can review a patient or user's data and provide guidance and feedback regarding obesity prevention. Health care providers can monitor their patients "health parameters, medical history and physical condition" and give guidance related to "health, lifestyle, exercise and nutrition." The goal of DAPHNE is to promote a "combination of a healthy and balanced diet, an active lifestyle and regular exercise". The project aims to develop data analysis platforms for collecting, analysing and delivering information on physical fitness and behaviour. Standardised data platforms are being designed to help hardware and software developers to provide personalised health information to individuals and to their health service providers.
Background
Initial EU funding covered the period from 2013 to 2016.
DAPHNE Project outputs
Project outputs will include (i) advanced sensors which can link directly to mobile phones to acquire and store data on lifestyle, behaviour and the surrounding environment; (ii) intelligent data processing for the recognition of behaviour patterns and trends; (iii) software platforms for linking individual health data to health service providers for personalised guidance on healthy lifestyle and disease prevention and to contribute to Big Data services.
HealthTracker
The HealthTracker can automatically detect a user's physical activity such as "lying down, sitting down, standing up, walking, running and cycling".
DAPHNE Project Consortium
Treelogic (Coordinator) – Spain
IBM Israel
ATOS Spain S.A.
University of Leeds UK
Evalan BV, the Netherlands
Ospedale Pediatrico Bambino Gesù, Italy
Universidad Politécnica de Madrid, Spain
SilverCloud Health Ltd, Ireland
World Obesity Federation, UK
Nevet Ltd, Israel (divisi |
https://en.wikipedia.org/wiki/Cambridge%20Analytica | Cambridge Analytica Ltd (CA), previously known as SCL USA, was a British political consulting firm that came to prominence through the Facebook–Cambridge Analytica data scandal. It was started in 2013, as a subsidiary of the private intelligence company and self-described "global election management agency" SCL Group by long-time SCL executives Nigel Oakes, Alexander Nix and Alexander Oakes, with Nix as CEO. The well-connected founders had contact with, among others, the British Conservative Party, royal family, and military. The firm maintained offices in London, New York City, and Washington, D.C. The company closed operations in 2018 in the course of the Facebook–Cambridge Analytica data scandal, although firms related to both Cambridge Analytica and its parent firm SCL still exist.
History
Cambridge Analytica was established as a subsidiary of the private intelligence company SCL Group that was active in military and political arenas. The men who ran Cambridge Analytica and its parent SCL were described as having close ties to the Conservative Party, royalty, and the British military. Cambridge Analytica (SCL USA) was incorporated in January 2013 with its registered office in Westferry Circus, London and just one staff member, its director and CEO Alexander James Ashburner Nix (also appointed in January 2015). Nix was also the director of nine similar companies sharing the same registered offices in London, including Firecrest technologies, Emerdata and six SCL Group companies including "SCL elections limited". Nigel Oakes, known as the former boyfriend of Lady Helen Windsor, had founded the predecessor SCL Group in the 1990s, and in 2005 Oakes established SCL Group together with his brother Alexander Oakes and Alexander Nix; SCL Group was the parent company of Cambridge Analytica. former Conservative minister and MP Sir Geoffrey Pattie was the founding chairman of SCL; Lord Ivar Mountbatten also joined Oakes as a director of the company. As a result of the Facebook–Cambridge Analytica data scandal, Nix was removed as CEO and replaced by Julian Wheatland before the company closed. Several of the company's executives were Old Etonians.
The company's owners included several of the Conservative Party's largest donors such as billionaire Vincent Tchenguiz, former British Conservative minister Jonathan Marland, Baron Marland and the family of American hedge fund manager Robert Mercer. The company combined misappropriation of digital assets, data mining, data brokerage, and data analysis with strategic communication during electoral processes. While its parent SCL had focused on influencing elections in developing countries since the 1990s, Cambridge Analytica focused more on the western world, including the United Kingdom and the United States; CEO Alexander Nix has said CA was involved in 44 U.S. political races in 2014. In 2015, CA performed data analysis services for Ted Cruz's presidential campaign. In 2016, CA worked for Donald Trump's pres |
https://en.wikipedia.org/wiki/Auckland%20urban%20route%20network | The Auckland urban route network consists of strategic and primary arterial roads across the Auckland Region of New Zealand. Urban routes are signposted with white shields. To avoid conflict with state highway numbering, there are no urban routes numbered 1, 2, 16, 18, 20, or 22.
Urban routes
This is a list of current{[as of?}} posted urban routes in Auckland.
Outside Auckland
The same shield may appear elsewhere, but is very scarse and only tends to be used up to once in a region. This "Regional Route" system includes the route UR1 in New Plymouth, the former route K in Tauranga (now SH29), and a couple revoked state highways like the Inland Scenic Route or the northern extent of SH67.
The exception to this is Hamilton which has its own urban route network, but mostly only for main collector roads.
See also
List of motorways, expressways, and highways in Auckland
Roads in New Zealand
Transport in Auckland |
https://en.wikipedia.org/wiki/Big%20Fan%20%28game%20show%29 | Big Fan is an American short-lived game show that debuted on ABC. The series premiered on January 9, 2017.
Details
The US TV network ABC announced Big Fan in February 2016. The series is based on a segment on Jimmy Kimmel Live! called Who Knows...?, in which a contestant competes against a celebrity or sports figure of whom he or she is a fan, answering trivia and biographical questions about the star.
The half-hour series is hosted by Andy Richter, with Jimmy Kimmel, David Goldberg, and Caroline Baumgard as executive producers, and Banijay Studios North America producing.
Episodes
References
External link
2017 American television series debuts
2017 American television series endings
2010s American game shows
English-language television shows
American Broadcasting Company original programming
American television spin-offs
Television series by Banijay |
https://en.wikipedia.org/wiki/Goldie%20%26%20Bear | Goldie & Bear is an American computer-animated fantasy children's television series created by Jorge Aguirre for Disney Junior. The series is produced by Milk Barn Entertainment and Titmouse, Inc in its first and second seasons respectively. Inspired by the fairy tale "Goldilocks and the Three Bears," the show focuses on Goldie and Bear, who become best friends following an incident at his house.
The show was created to preserve children's memories of classic fairy tales and characters. Its episodes try to pay homage to the original fairytales and nursery rhymes while giving additional insight into their storylines and underlying meanings. Maria Tatar, a Disney Junior advisory board member, provides advice on storytelling, fairytales, and folklore as the show's consultant.
The show launched on Disney Junior and Disney Channel in November 2015. Episodes were released on Watch Disney Junior two months prior to their broadcast on the network. The series was renewed for a second season in March 2016, which premiered in September 2017. The final episode aired on October 1, 2018. Goldie & Bear received general positive reviews from critics, with praise for its music and characters.
Premise
After the incident at little Jack Bear's house in "Goldilocks and the Three Bears," Goldilocks (nicknamed Goldie) apologizes to him, and the two become best friends. They go on adventures throughout the Fairytale Forest—often meeting characters from various fairy tales and nursery rhymes, including Little Red Riding Hood, Humpty Dumpty, and the cow who jumped over the moon from "Hey Diddle Diddle."
Voice cast
Main
Natalie Lander as Goldilocks "Goldie," a precocious and impulsive 11-year-old girl who befriends Bear
Georgie Kidder as Jack Bear, a neat and tidy bear who becomes Goldie's best friend
Recurring
Jim Cummings as the Big Bad Wolf, a wolf who enjoys scaring other creatures and making trouble; and the Giant, a large humanoid character who lives in the clouds at the top of a beanstalk over Fairytale Forest
Justine Huxley as Red Riding Hood, a clean but somewhat snobby child who delivers muffins from her father The Muffin Man (as revealed in Three's a Crowd) to her grandmother, and Little Old Woman, the mother of many children who lives in the Giant's shoe
Mitchell Whitfield as Humpty Dumpty, an accident-prone egg, and the woodsman who constantly tries to cut down trees throughout Fairytale Forest
David Kaufman as Jack, a young boy who traded his family's cow for three magic beans, and Brix, the brick-laying pig from "The Three Little Pigs"
Mary Birdsong as Mama Bear, Bear's mother, Mother Goose, a large goose, and Jack's Mom
Barry Wiggins as Papa Bear, Bear's father
David Lodge as Magic Gnome, a small gnome who lives in a tree in Goldie and Bear forest and grants whoever finds him a single wish; Magic Cobbler, a magical gnome that creates magical shoes; Baley, the straw-laying pig from "The Three Little Pigs"
Kath Soucie as Twigs, the wood-building pig fro |
https://en.wikipedia.org/wiki/Molly%3A%20Do%20Yourself%20a%20Favour | Molly: Do Yourself a Favour is the soundtrack to the two-part Australian miniseries Molly, which screened on the Seven Network in February 2016. The miniseries tells the story of Ian "Molly" Meldrum, an Australian music critic, journalist, record producer and musical entrepreneur.
The soundtrack features some of Meldrum's record productions, including Russell Morris' "The Real Thing", the Ferrets' "Don't Fall in Love" and Supernaut's "I Like It Both Ways", as well as contributions from close personal friends Elton John, Lynne Randell and Kylie Minogue and songs that recall classic Countdown moments, which Meldrum hosted from 1975 to 1987.
The physical edition features three CDs, with the first two discs including songs featured in the miniseries. The third disc includes tracks handpicked by Meldrum.
Critical reception
Paul Cashmere of Noise11 said; "The songs featured in the soundtrack are not just the soundtrack to a mini-series, they capture the musical landscape of Australia across the 60s, 70s and 80s. These songs were the popular music Australian's were hearing daily on radio and became the soundtrack to many lives."
Cameron Adams from the Herald Sun gave the album 4 out of 5 stars, asking readers "How do you distil all the music lived and loved by Molly Meldrum? It's taken 60 tracks to even scratch the surface" before calling Molly a "legend".
A staff writer at The Music said that the album is "the best thing since [compilation] Ripper '76".
Track listing
CD 1
"Evie (Part 1)" – Stevie Wright
"The Real Thing" – Russell Morris
"C'mon We're Taking Over" – Hush
"I Remember When I Was Young" – Matt Taylor
"Most People I Know (Think That I'm Crazy)" – Billy Thorpe and the Aztecs
"Devil Gate Drive" – Suzi Quatro
"Living in the 70's" – Skyhooks
"You Just Like Me 'Cos I'm Good in Bed" – Skyhooks
"Yesterday's Hero" – John Paul Young
"Summer Love" – Sherbet
"It's Almost Summer" – Billy Thorpe
"Only One You" – Sherbet
"Turn Up Your Radio" – The Masters Apprentices
"The Ballroom Blitz" – Sweet
"Girls on the Avenue" – Richard Clapton
"Don't Fall in Love" – The Ferrets
"Ego Is Not a Dirty Word" – Skyhooks
"I Like It Both Ways" – Supernaut
"Howzat" – Sherbet
"Matter of Time" – Sherbet
CD 2
"Cheap Wine" – Cold Chisel
"Party to End All Parties" – Skyhooks
"I Was Made for Lovin' You" – Kiss
"Please Don't Go" – KC and the Sunshine Band
"My Turn to Cry" – Cold Chisel
"One Way or Another" – Blondie
"I See Red" – Split Enz
"Modern Girl" – James Freud & The Radio Stars
"Ciao Baby" – Lynne Randell
"The Nips Are Getting Bigger" – Mental as Anything
"Antmusic" – Adam and the Ants
"Planet Earth" – Duran Duran
"Counting the Beat" – The Swingers
"Beautiful People" – Australian Crawl
"Hot in the City" – Billy Idol
"Kiss the Bride" – Elton John
"Out of Mind, Out of Sight" – Models
"Pleasure & Pain" – The Divinyls
"Take On Me" – A-ha
"Too Many Times" – Mental as Anything
CD 3
"Walk Like an Egyptian" – The Bangles
"Cant Stop |
https://en.wikipedia.org/wiki/The%20Last%20Message%20Received | The Last Message Received is a submission-based blog on the social networking site Tumblr. It was created in November 2015 by 16-year-old Ohio native Emily Trunko, a student at the Ohio Virtual Academy. The blog is composed primarily of text messages, almost always the last ones received from ex-lovers, deceased family members, or former friends. "I've always been fascinated with glimpses into the lives of other people," Trunko explained in an interview with Buzzfeed. "I thought that the last message sent before a breakup or before someone passed away would be really poignant." Messages range from being long and detailed to extremely short. Some are goodbyes, and others are mundane texts sent by people who didn't know that message would be their last. As of February 10, 2016, The Last Message Received has over 83,000 followers and 10,000 submissions. It has been written about by many major publications, including The Guardian, The Huffington Post, Cosmopolitan Magazine, and Teen Vogue.
References
American blogs |
https://en.wikipedia.org/wiki/VidiPath | VidiPath is a set of guidelines developed by the Digital Living Network Alliance (DLNA) that enables consumers to view subscription TV content on a wide variety of devices including televisions, tablets, phones, Blu-ray players, set top boxes (STBs), personal computers (PCs) and game consoles without any additional intermediate devices from the service provider. Consumer Electronics (CE) products that are certified to the VidiPath Guidelines can directly support the full range of subscriber HD programs, movies, DVR content, channel guides, and other premium features, all with a consistent user interface (UI) from their service provider.
In December 2012, the FCC ordered cable operators to use an open standard to update their cable boxes so they could support HD streaming over home networks to devices like PCs, smart TVs and tablets, and allow HD video recording on external devices through home networks, and cited the successor to the DLNA Premium Video Profile (later renamed VidiPath) as an example of a compliant protocol that cable companies could adopt. In May 2015, the FCC published an update saying that TiVo and cable operators that lease set-top boxes to subscribers now had until June 1, 2015 (or September 1, 2015 for smaller cable operators) to comply with the rule, and that TiVo had been issued a waiver until June 1, 2017, temporarily deferring TiVo's implementation of the DLNA standard.
VidiPath was also identified by the FCC in an August 2015 Final Report of the FCC's Downloadable Security Technology Advisory Committee (DSTAC). DSTAC promotes the competitive availability of navigation devices (e.g., set-top boxes and television sets) in furtherance of Section 629 of the Communications Act.
DLNA conducted a live demonstration of VidiPath at INTX 2015 using the Xfinity VidiPath Service for the X1 Platform running on Comcast production plant displayed on Samsung TV, Broadcom STB and a AwoX reference tablet.
Comcast, Time Warner Cable and Cox Communications have said they plan to offer VidiPath STBs or gateways.
Timeline
March 2014: DLNA publicly releases the VidiPath Guidelines, originally called “DLNA CVP-2 Guidelines"
September 2014: DLNA introduces “VidiPath,” the consumer-facing brand of the guidelines, and also launches the VidiPath Certification program. The certification process involves multiple steps and varying fees based upon the product.
2015: Comcast launched the Xfinity for VidiPath service to prepare its subscribers for the availability of VidiPath Certified retail devices
Market Outlook
In May 2015, ABI Research released results from a study it conducted on the anticipated impact of VidiPath Certified devices for subscription TV service delivery to interoperable devices. According to the study, VidiPath devices will be used in 40 percent of U.S. cable TV households that subscribe to advanced services by 2016 and 70 percent by 2020.
References
Lake Oswego, Oregon
Organizations based in Oregon
2014 establishmen |
https://en.wikipedia.org/wiki/Night%20Dragon%20Operation | Night Dragon Operation is one of the cyberattacks that started in mid-2006 and was initially reported by Dmitri Alperovitch, Vice President of Threat Research at Internet security company McAfee in August 2011, who also led and named the Night Dragon Operation and Operation Aurora cyberespionage intrusion investigations. The attacks have hit at least 71 organizations, including defense contractors, businesses worldwide, the United Nations and the International Olympic Committee.
Attack work model
The attacks use a variety of components—there is no single piece or family of malware responsible. The preliminary stage of the attack involves penetration of the target network, ‘breaking down the front door’. Techniques such as spear-phishing and SQL injection of public facing Web servers are reported to have been used. Once in, the attackers then upload freely available hacker tools onto the compromised servers in order to gain visibility into the internal network. The internal network can then be penetrated by typical methods (accessing Active Directory account details, cracking user passwords, etc.) in order to infect machines on the network with remote administration trojans (RATs). Since this attack is done by a government, the resources in terms of hardware, software, and other logistics available to the hackers are considerable (PLA Unit 61398).
References
Cyberattacks
Cyberwarfare by China
Confessions of a Cyber Spy Hunter Eric Winsborrow (TEDx)
Chinese advanced persistent threat groups |
https://en.wikipedia.org/wiki/Siftr | Siftr Magic is a photo-curation platform, which makes use of artificial intelligence and deep learning. The company was founded by Romil Mittal and Mayank Bhagya, who both are ex-Adobe employees.
SIFTR platform provides photo curation services intended to help users sort their own photos and make the best use of them. The first offering from the platform was self-updating photography websites.
History
SIFTR Labs was founded in 2015 by Romil Mittal and Mayank Bhagya, and the company released its first product in October 2015. The company, headquartered in New Delhi, is backed by angel investors. The site was inspired by the fact that people want to discover and make use of their photos.
See also
Website builder
References
External links
Official website
Internet properties established in 2015
Image-sharing websites
Indian photography websites |
https://en.wikipedia.org/wiki/Killings%20by%20law%20enforcement.%20Rates%20and%20counts%20by%20country | This is a list of countries with annual rates and counts for killings by law enforcement officers.
List
Historical data
2020s
2010s
2000s
1990s
Chart
See also
Lists of killings by law enforcement officers
Police brutality
Police firearm use by country
Police use of deadly force in the United States
References
Lists of countries
Lists of countries by population-related issue
Law enforcement
Law enforcement
Race and crime
Crime-related lists |
https://en.wikipedia.org/wiki/Barnet%20%26%20Reef%20Associates | Barnet & Reef Associates public relations firm was based out of New York City, founded in 1958 by Sylvan M. Barnet Jr. and Arthur Reef. Known for creating an international public relations network entitled PR International, which was essentially Barnet & Reef's operating organization abroad, Barnet & Reef worked in the international market until it merged with Harshe-Rotman & Druck in 1964. After a series of mergers in the 1980s, it became part of what is now Ruder Finn.
History
Barnet & Reef, founded in 1958 by Sylvan M. Barnet Jr. and Arthur Reef, was one of the first agencies to deliver public relations programming internationally. Prior to creating their firm, Reef held many positions in Latin America, the Far East, and Europe, including Germany during the late 1940s and early 1950s. Barnet was the manager of an international newspaper in Paris, the manager of the European Edition of the New York Herald Tribune, and the head of Tribunes syndicate and news service in New York. Their first-hand experiences of the fallout of WWII, along with the effects of the Marshall Plan, and the rise of the Iron Curtain in Europe, pushed Reef and Barnet into the world of international public relations and spurred the creation of Barnet & Reef.
The firm opened with a staff of only fifteen people in 1959. During its prime in the early 1960s, Barnet & Reef boasted associates in 48 different countries. Realizing that creating Barnet & Reef offices in each of the regions would be expensive and impractical, Barnet and Reef created a network called PR International of over 40 personnel worldwide.
Barnet & Reef merged with Harshe-Rotman & Druck in 1964. In 1982, Harshe-Rotman & Druck merged with Ruder & Finn, a firm which now operates as Ruder Finn.
Arthur Reef
Arthur (Art) Reef (September 21, 1916 – January 17, 2008) of New York City, is the son of Herman Reef and Eva Reef. Reef is predominantly known as one of the co-founders of Barnet & Reef. Prior to establishing his own public relations firm, Reef worked for Ruder & Finn from 1955 to 1957. At the time Ruder & Finn was a small public relations firm based out of New York. After working at Ruder & Finn, Reef founded Barnet & Reef with Barnet. The two lead Barnet & Reef from 1957 to 1964. In 1964, Barnet & Reef merged with Harshe-Rotman & Druck. After the merger, Reef took an offer from American Metal Climax (now known as AMAX). AMAX did not have any established public relations or communication related departments. Reef worked to create these departments and give them full access to the CEO and decent financial backing. Reef worked under three CEOs of AMAX before returning to consulting for international public relations. In 1994, Reef retired to Florida.
Sylvan Barnet
Sylvan (Barney) Barnet Jr. (August 5, 1919 – January 7, 2015) is best known for co-founding Barnet & Reef with Arthur Reef. He spent his life working heavily in a multitude of facets of international communications including publishing, publ |
https://en.wikipedia.org/wiki/Fontenay-sous-Bois%20station | Fontenay-sous-Bois is a railway station on RER train network in Fontenay-sous-Bois, Val-de-Marne, France.
History
Fontenay-sous-Bois station used to be served by the Bastille railway line (Paris Bastille – Marles-en-Brie), which ran from 1859 to 1969. It is now served by RER line A.
Transport
Train
The station is served by a train every 10 minutes at off-peak time in both directions. That frequency is increased during peak hours, with up to 12 trains an hour, and falls to 1 train every 15 minutes at night.
Bus connections
The station is served by RATP Bus network lines:
Line from Val de Fontenay to Château de Vincennes ;
Line from Villiers-sur-Marne to Château de Vincennes ;
Line , a shuttle service serving the different districts of Fontenay-sous-Bois.
Traffic
The number of people entering the station in 2014 was 2,469,377.
References
Railway stations in France opened in 1969
Railway stations in Val-de-Marne
Réseau Express Régional stations |
https://en.wikipedia.org/wiki/Social%20navigation | Social navigation is a form of social computing introduced by Paul Dourish and Matthew Chalmers in 1994, who defined it as when "movement from one item to another is provoked as an artifact of the activity of another or a group of others". According to later research in 2002, "social navigation exploits the knowledge and experience of peer users of information resources" to guide users in the information space, and that it is becoming more difficult to navigate and search efficiently with all the digital information available from the World Wide Web and other sources. Studying others' navigational trails and understanding their behavior can help improve one's own search strategy by guiding them to make more informed decisions based on the actions of others.
Prior to the advancement of Web 2.0 and the Social Web, the World Wide Web had been a solitary space where users were unaware of where anyone else was browsing or navigating. The scope of social navigation research has been increasing, especially as information visualization improves. Displaying social information in virtual spaces allows user behavior models to make digital systems feel more social and less solitary.
Supporting theories and techniques
The concept of social navigation is supported by several theories. Information foraging theory studies human behavior when they are seeking, gathering, sharing and consuming information. It applies optimal foraging theory to human behavior when they navigate to information, and explains how people benefit from other people based on history-rich digital objects, which explains the idea of used items or paths. For example, a used book that has notes, highlights and underlines is different from a new book. History-rich digital objects help people find the target faster and more efficiently.
Information foraging is an alternative to food foraging and ant colony optimization, which state that information human-hunters follow others’ paths to optimally reach their target. Optimal information must maximize the value of the information that is gained per unit cost (like time or effort). This theory supports collaborative activities, and is a guide for designers to build good interfaces where users can benefit from others' research.
The weaknesses of this theory are when people mistrace information; they cannot be redirected unless they figure it out, and optimization is not always the case for human behavior
The information patch model studies time spent in navigation in filtered information and clustered information, and works to optimize the overall information as fast as possible; the information scent model determines information value by taking the most useful cues that have been used by other users; and the information diet model (prey selection) explains how people select the target information based on others' selections, which leads to optimal satisfying information.
Webpage design is also important in how a user interacts with the inte |
https://en.wikipedia.org/wiki/Early%20mainframe%20games | Mainframe computers are computers used primarily by businesses and academic institutions for large-scale processes. Before personal computers, first termed microcomputers, became widely available to the general public in the 1970s, the computing industry was composed of mainframe computers and the relatively smaller and cheaper minicomputer variant. During the mid to late 1960s, many early video games were programmed on these computers. Developed prior to the rise of the commercial video game industry in the early 1970s, these early mainframe games were generally written by students or employees at large corporations in a machine or assembly language that could only be understood by the specific machine or computer type they were developed on. While many of these games were lost as older computers were discontinued, some of them were ported to high-level computer languages like BASIC, had expanded versions later released for personal computers, or were recreated for bulletin board systems years later, thus influencing future games and developers.
Early computer games began to be created in the 1950s, and the steady increase in the number and abilities of computers over time led to the gradual loosening of restrictions on access to mainframe computers at academic and corporate institutions beginning in the 1960s. This in turn led to a modest proliferation of generally small, text-based games on mainframe computers, with increasing complexity towards the end of the decade. While games continued to be developed on mainframes and minicomputers through the 1970s, the rise of personal computers and the spread of high-level programming languages meant that later games were generally intended to or were capable of being run on personal computers, even when developed on a mainframe. These early games include Hamurabi, an antecedent of the strategy and city-building genres; Lunar Lander, which inspired numerous recreations in the 1970s and 1980s; Civil War, an early war simulation game; Star Trek, which was widely ported, expanded, and spread for decades after; Space Travel, which played a role in the creation of the Unix operating system; and Baseball, an early sports game and the first baseball game to allow player control during a game.
Background
Mainframe computers are powerful computers used primarily by large organizations for computational work, especially large-scale, multi-user processes. The term originally referred to the large cabinets called "main frames" that housed the central processing unit and main memory of early computers. Prior to the rise of personal computers, first termed microcomputers, in the 1970s, they were the primary type of computer in use, and at the beginning of the 1960s they were the only type of computer available for public purchase. Minicomputers were relatively smaller and cheaper mainframe computers prevalent in the 1960s and 1970s, though they were still not intended for personal use. One definition from 1970 re |
https://en.wikipedia.org/wiki/Airborne%20Sensor%20Operator | An airborne sensor operator (aerial sensor operator, ASO, Aerial Remote Sensing Data Acquisition Specialist, Aerial Payload Operator, Police Tactical Flight Officer, Tactical Coordinator etc.) is the functional profession of gathering information from an airborne platform (Manned or Unmanned) and/or oversee mission management systems for academic, commercial, public safety or military remote sensing purposes. The airborne sensor operator is considered a principal flight crew or aircrew member.
Past and present
The modern airborne sensor operator profession began in 1858 when Gaspard-Felix Tournachon “Nadar” first took aerial photographs of Paris from a hot air balloon. Remote sensing and airborne sensor operator duties continued to grow from there; one of the first planned uses of remote sensing and operators occurred during the U.S. Civil War when manned and unmanned balloons were flown over enemy territory with cameras.
The first governmental-organized air photography missions were developed for military surveillance during World Wars I and II but reached a climax during the Cold War. However, the airborne sensor operator profession developed ever so more in all industry sectors during these decades with the advancement of radar, lasers, radio/signal receivers and electro-optical/infra-red technology.
Today, with the advancement of smaller and more powerful remote sensing systems along with smaller and economical manned and unmanned platforms, the airborne remote sensing industry is expanding in line with many other expanding industry sectors that in the past could not afford and/or try to apply this capability. With this, the airborne sensor operator profession continues to expand and support the need for ever more precision Information.
Overview
Responsibilities & duties
The primary responsibilities of an airborne sensor operator are to ensure the safe operation of the aircraft, effectively operate assigned remote sensing systems and support the processing, exploitation and dissemination of collected information.
Some of the general duties of an airborne sensor operator are:
• Flight and sensor planning,
• Sensor installation, testing & maintenance
• Flight & crew management
• Collection management
• Sensor operations
• Quality control (QC) of acquired data
• Processing, exploitation and dissemination of acquired data
Industry sectors
The specific industry sectors that require airborne sensor operators are varied. The primary sectors are in the commercial surveying, science, public safety & security and defense. Most airborne sensor operators either work for specific government organizations or aerial surveying-imaging firms specializing in data acquisition & processing versus directly with the end user.
In the commercial sector, airborne sensor operators primarily support the agricultural, construction, power supply and mining industries. They routinely support crop monitoring, power line mapping, pipeline monitoring, and |
https://en.wikipedia.org/wiki/Store-passing%20style | Store-passing style is a programming technique that is used to model mutable state without using mutable state. It generally arises in the conversion of imperative programs into purely functional ones.
So, for instance, consider this JavaScript program, written in a non-store-passing-style:
var lastWasA = false
// a treebin represents a binary tree of strings.
// a treebin is either
// - a string, or
// - {l : <treebin>, r: <treebin>}
// does an in-order traversal of this tree's
// leaves contain an 'a' followed by a 'b'?
function aThenB(treebin) {
if (typeof(treebin) === "string") {
if (treebin === "a") {
lastWasA = true;
return false;
} else if (treebin === "b") {
if (lastWasA) {
return true;
} else {
lastWasA = false;
return false;
}
} else {
lastWasA = false;
return false;
}
} else { // not a string, must be an internal node:
return ((aThenB(treebin.l))||(aThenB(treebin.r)));
}
}
This contains a reference to a global variable. In store-passing style, the value of the global variable (or variables) is passed along to each call, and also returned from each call and threaded through the next call. The code might look like this:
function aThenB(treebin, lastWasA) {
if (typeof(treebin) === "string") {
if (treebin === "a") {
return {result: false, lastWasA: true};
} else if (treebin === "b") {
if (lastWasA) {
return {result: true, lastWasA: false};
}
} else {
return {result: false, lastWasA: false};
}
} else { // not a string, must be an internal node:
var leftCall = aThenB(treebin.l, lastWasA);
if (leftCall.result) {
return {result: true, lastWasA: false}
} else {
return aThenB(treebin.r, leftCall.lastWasA);
}
}
}
Note that each call takes an extra argument, and two values are now returned; the ordinary return value, and a new value representing the state of the formerly mutable variable.
Store-passing style can be quite painful to write, but can help to eliminate race conditions by isolating state within function calls, and can potentially make code more parallelizable.
See also
Continuation-passing style
References
Software design patterns
Functional programming |
https://en.wikipedia.org/wiki/MTV%20Africa | MTV Africa (formerly MTV South Africa) is an African pay television from Paramount Networks EMEAA. It focuses mainly on rebroadcasting MTV US content as well as airing local-produced reality series. Founded by Alex Okosi and launched as 'Africas MTV' alongside founding members Jandre Louw, Dudu Qubu and Maya Padmore.
History
1995 – Pan-African satellite provider DStv launched 17 international channels on its service, including MTV Europe and VH1 Europe. These channels were the major promoters of international genres of music to the continent.
2004 – MTV Networks International announced it had plans to launch its 100th channel in Africa with the launch of MTV Africa (proposed branding). In February 2005, MTV Networks International launched MTV Base Africa. The channel was launched with a live music special with performances from local African and international artists. MTV Base Africa also promoted MTV Europe and aired some of its reality-based programmes.
2012 – MTV Base and its other sister channels increased its promotion of MTV (which had already started airing less of music and more of reality shows) by airing its promos and also opened a Facebook and Twitter page named MTVONDSTV.
2013 – In June, MTV Base divided itself into two feeds, one exclusively for South Africa and the other airing for the rest of the continent. While MTV was going to get a localised feed exclusively for South Africa, the rest of the continent would have been served by the European feed. However, MTV South Africa was also launched across East and West Africa and replaced MTV Europe. Despite its coverage area, the channel was only focused towards its Southern African viewers. It aired shows from MTV US, music programming and two local shows, MTV choice, which was a magazine show, and Jou Ma Se MTV, which was a playlist of South African music videos. The channel also launched a website, mtv.co.za to follow it and its social pages was changed from MTVONDSTV to MTVZA.
2015 – MTV reduced its music airing time to 02:00 CAT to 06:00 CAT instead of 02:00 CAT to 09:00 CAT and music was no longer aired at noon. MTV South Africa rebranded to MTV Africa and its name on its social pages was changed to MTVAFRICA. The website which still has the South African domain ".za" is still used. Another local show named MTV #YouGotGot, which featured a team of South African pranksters tricking people and celebrities, was premiered.
2019 - VH1 Classic rebranded into MTV Music 24 in SD with MTV, Comedy Central, BET, Nickelodeon (South Africa) and MTV Base are now available in HD.
Availability
MTV Africa is available in Sub-Saharan Africa exclusively through DStv. It is available in Southern Africa through the Compact, Extra and Premium bouquets while in the rest of Africa on Compact, Compact + and Premium and can be accessed in two million households in the region. The channel was originally available exclusively on DStv Premium following MTV Europe.
Logos
Shows
Sleeping in the Fam |
https://en.wikipedia.org/wiki/Doki%20%28app%29 | Doki is computer-assisted language learning software for learning the basics of foreign languages. Doki is currently available as a collection of 14 different mobile apps designed for iOS devices. It offers a basic level (Doki) and an advanced basic level (Doki Further) for learning English, French, German, Iberian Spanish and Latin American Spanish.
Doki attempts to teach languages in an entertaining way with humour and without focusing on grammar. The apps feature a cartoon-style, city map (Doki City) in which the student navigates to learn vocabulary and common phrases associated with one of the city's 14 different places (lessons). For example, the student can tap on the restaurant icon to learn about different foods and how to order at a restaurant. Each place has interactive exercises to reinforce learning. All dialogues are spoken by native-speakers and the first two chapters are offered for free. Doki was awarded the “Parent’s Choice” Award at the Europrix Multimedia Awards.
History
Doki was founded in 1999 in Cyprus and UK by Andy Hadjicostis and was first launched as CD-ROMs for Windows and OSX systems in 2001. After Andy passed away in 2010, his family decided to develop Doki into iOS apps. The apps were launched in December 2012. As of February 2016, the apps have been downloaded by more than 680,000 users.
Awards and reception
Parent’s Choice Award (Europrix Multimedia Awards)
References
External links
Language_learning_software
iOS_software
2012 software |
https://en.wikipedia.org/wiki/Castor%20%28framework%29 | Castor is a data binding framework for Java with some features like Java to Java-to-XML binding, Java-to-SQL persistence, paths between Java objects, XML documents, relational tables, etc. Castor is one of the oldest data binding projects.
Process flow
Basic process flows include class generation, marshalling, unmarshalling, etc. Marshalling framework includes a set of ClassDescriptors and FieldDescription to describe objects.
Class generation
Class generation is similar to JAXB and Zeus. Castor supports XML Schema instead of DTDs (DTDs are not supported by Castor).
Unmarshalling and marshalling
Unmarshalling and marshalling are dealt with marshall() and unmarshall() methods respectively. During marshalling, conversion process from Java to XML is carried out, and, during unmarshalling, conversion process from XML to Java is carried out. Mapping files are the equivalent of a binding schema, which allows to transforms names from XML to Java and vice versa.
Additional features
Castor offers some additional features which are not present in JAXB. Additional features include:
Database and directory server mappings - mapping between databases and directory servers to Java
JDO - Caster supports Java Data Objects.
Code samples
Code for marshalling may look like as follows:
package javajaxb;
import java.io.File;
import java.io.FileReader;
import java.io.FileWriter;
import java.io.IOException;
// Castor
import org.exolab.castor.xml.MarshalException;
import org.exolab.castor.xml.ValidationException;
// Generated hr.xml classes
import javajaxb.generated.hr.*;
public class EmployeeLister {
// Existing methods
public void modify()
throws IOException, MarshalException, ValidationException {
// Add a new employee
Employee employee = new Employee();
employee.setName("Ben Rochester");
Address address = new Address();
address.setStreet1("708 Teakwood Drive");
address.setCity("Flower Mound");
address.setState("TX");
address.setZipCode("75028");
employee.addAddress(address);
Organization organization = new Organization();
organization.setId(43);
organization.setName("Technical Services");
employee.setOrganization(organization);
Office office = new Office();
office.setId(241);
Address officeAddress = new Address();
officeAddress.setStreet1("1202 Business Square");
officeAddress.setStreet2("Suite 302");
officeAddress.setCity("Dallas");
officeAddress.setState("TX");
officeAddress.setZipCode("75218-8921");
office.setAddress(officeAddress);
employee.setOffice(office);
// Add employee to list
employees.addEmployee(employee);
// marshal
employees.marshal(new FileWriter(outputFile));
}
public static void main(String[] args) {
try {
if (args.length != 2) {
System.out.println("Usage: java javaj |
https://en.wikipedia.org/wiki/Senet%20Inc. | Senet Inc. is an American Low Power Wide Area Network (LPWAN) provider for IoT/M2M applications. The Senet Network is described as "the first and only public provider of LPWA networks with class leading LoRa® modulation for IoT/M2M applications in North America”. Its platform is positioned to meet the needs of the growing “Internet of Things” (IoT) ecosystem.
The Senet Network adheres to the open global networking standards as proposed by the LoRa® Alliance, and enables low power, machine to machine (M2M) connectivity across wide geographic areas. It is designed to remove the barriers traditionally associated with managing remote devices such as reliability, range, battery life, bidirectional capability, mobility, and cost.
History
Senet’s origins began in 2009 with EnerTrac, a fuel delivery automation solution that remotely monitors propane and oil tanks for the residential heating industry. By reducing unnecessary deliveries and runouts, EnerTrac reduces operational costs for fuel delivery companies.
The success of the EnerTrac solution prompted EnerTrac to consider its technology for other markets, and in 2014 the company was restructured as Senet Inc., a public LPWA Network. The Senet Network is designed to accommodate other applications, such as water metering, smart building and smart agriculture. EnerTrac was renamed to EnerTracSE, and the EnerTracSE heating fuel delivery automation solution continued to be one of Senet’s significant offerings until the company sold that business to Independent Technologies, Inc.
Senet joined the LoRa® Alliance in 2015 and deployed LoRaWAN technology into the Senet Network. With this deployment the Senet Network became the first IoT network in North America to adopt the LoRa networking standards.
Technology
The Senet Network
The Senet Network is differentiated from other LPWANs by being an open standards network that is known for deploying and running the largest revenue-generating application.
The Senet Network’s fully enabled two-way architecture provides data communication from sensors over long distances at a lower cost, longer range, and longer battery life than cellular networks. Battery life is determined by how often the devices are set to transmit data and how much data is being transmitted. Transceiver batteries can last as long as 10 years.
Senet partnered with the LoRa® Alliance and Semtech to incorporate LoRaWAN technology into the Senet Network. With the deployment of LoRaWAN technology, the Senet Network provides unique benefits that are not found in other LPWAN technologies. These benefits include bidirectional communication, mobile device support, adaptive data rate support, and strong built-in security features using AES-128 CCM.
Associations
LoRa® Alliance & Semtech
As of February 2016, the LoRa® Alliance is made up of more than 200 members that use the global adoption of LoRaWAN open networking standards for their IoT networks. LoRa® technology provides wireless range w |
https://en.wikipedia.org/wiki/FrontBase | FrontBase is a relational database management system written in ANSI C. FrontBase uses the Unicode character encoding.
International standards
FrontBase complies with SQL 92 (fully compliant), Unicode (Unicode 2.0) and TCP/IP (uses sockets).
Available platforms
FrontBase is available on the following platforms:
Macintosh - Mac OS X, Mac OS X Server 10.x and Mac OS X Server 1.2
Linux - RedHat, SuSE(Intel and Power PC), YellowDog Linux and Mandrake Linux
Unix - FreeBSB, Solaris and HP-UX
Windows - Windows NT and Windows 2000.
Drivers and adaptors
Drivers and adaptors include Apple WebObjects, PHP3, PHP4, Perl, ODBC, JDBC, Omnis Studio, REALBasic, Tcl, EOF, FBAccess and FBCAccess.
Data types
Data types supported include INTEGER, DECIMAL, TIMESTAMP, BLOB and VARCHAR.
See also
List of relational database management systems
Comparison of relational database management systems
References
External links
Java platform software
SQL
Relational database management systems
Relational database management software for Linux |
https://en.wikipedia.org/wiki/Nogent-sur-Marne%20station | Nogent-sur-Marne is a railway station on RER train network in Nogent-sur-Marne, Val-de-Marne, France.
History
Nogent-sur-Marne station used to be served by the Bastille railway line (Paris Bastille–Marles-en-Brie), which ran from 1859 to 1969. It is now served by RER line A.
Transport
Train
The station is served by a train every 10 minutes at off-peak time in both directions. That frequency is increased during peak hours and falls to around 1 train every 15 minutes at late evening and early morning.
Bus connections
The station is served by several buses:
RATP Bus network lines: (to Chelles), (from Château de Vincennes to Villemomble), (to Noisy-le-Grand) and (between Château de Vincennes and Villiers-sur-Marne) ;
Noctilien network night bus line: (from Paris - Gare de Lyon to Villiers-sur-Marne).
Traffic
2,771,411 people entered the station in 2014.
References
Railway stations in France opened in 1969
Railway stations in Val-de-Marne
Réseau Express Régional stations |
https://en.wikipedia.org/wiki/Synthetic%20Biology%20Open%20Language | The Synthetic Biology Open Language (SBOL) is a proposed data standard for exchanging synthetic biology designs between software packages. It has been under development by the SBOL Developers Group since 2008. This group aims to develop the standard in a way that is open and democratic in order to include as many interests as possible and to avoid domination by a single company. The group also aims to develop and improve the design standard over time as the field of synthetic biology reflects this development.
A graphical modeling language called SBOL Visual has also been created to visualize SBOL designs.
Releases
References
Biocybernetics
Bioinformatics
Systems biology |
https://en.wikipedia.org/wiki/KZCZ-LD | KZCZ-LD, virtual channel 34 (UHF digital channel 20), is a low-power The Country Network-affiliated television station licensed to College Station, Texas, United States. The station is owned by the DTV America Corporation.
History
On October 2, 2012, the station's construction permit was issued to DTV America, but the station had the callsign of K34MN-D. The current KZCZ-LD call letters were adopted on March 11, 2013. The station remained silent until September 12, 2016, when its first four subchannels were affiliated with Bounce TV, Laff, Grit, and Escape (now Ion Mystery) respectively.
Digital channels
The station's digital signal is multiplexed:
References
External links
DTV America
Bounce TV
Innovate Corp.
Bounce TV affiliates
Laff (TV network) affiliates
Grit (TV network) affiliates
Ion Mystery affiliates
Buzzr affiliates
Television stations in Texas
Television channels and stations established in 2016
Low-power television stations in Texas
2016 establishments in Texas |
https://en.wikipedia.org/wiki/Valerie%27s%20Home%20Cooking | Valerie's Home Cooking is an American television cooking show, starring Valerie Bertinelli. It premiered on August 8, 2015 on the Food Network channel.
On April 8, 2023, Bertinelli confirmed that the 14th season would be the show's last.
Episodes
Series overview
Season 1 (2015)
Season 2 (2015–2016)
Season 3 (2016)
Season 4 (2016–2017)
Season 5 (2017)
Season 6 (2017)
Season 7 (2018)
Season 8 (2018)
Season 9 (2019)
Season 10 (2019–2020)
Season 11 (2020)
Season 12 (2021)
Season 13 (2022)
Season 14 (2023)
Awards and nominations
|-
| 2018
| Outstanding Culinary Program
| Daytime Emmy Awards
|
|
|
|-
| 2019
| Outstanding Culinary Host
| Daytime Emmy Awards
|
|
|
|-
| 2019
| Outstanding Culinary Program
| Daytime Emmy Awards
|
|
|
|-
| 2020
| Outstanding Culinary Series
| Daytime Emmy Awards
|
|
|
References
External links
2010s American cooking television series
2010s American reality television series
2015 American television series debuts
2020s American cooking television series
2020s American reality television series
2023 American television series endings
Daytime Emmy Award for Outstanding Culinary Program winners
English-language television shows
Food Network original programming
Food reality television series
Television series by Bunim/Murray Productions |
https://en.wikipedia.org/wiki/Cendrillon%20au%20Far%20West | Cendrillon au Far West (French for "Cinderella in the Far West") is a 2012 French-Belgian computer-animated Western comedy film directed and written written by Pascal Hérold and produced by Delacave Studios, Nexus Factory and uFilm.
In English-speaking media, this movie is entitled Cinderella: Once Upon A Time... In The West.
Plot
In the small Western town of Felicity City, Cinderella the deer is working for her pug stepmother, Felicity, while complaining about men's lack of manners. A train arrives with the classy Basset Hound prince, Vladmir, and the cheeky turkey duchess.
Felicity throws a ball in the local saloon to celebrate the coming of royalty, while plotting to get one of her two daughters married to the prince. Cinderella has become infatuated with the prince, and laments that she can't attend, as Felicity kept all attractive females out of the ball.
A porcupine shaman sees Cinderella and helps her get into the ball by casting a spell that gives her a mask, make up, and a dress that will wear out at midnight. Cinderella, now disguised, forces her way into the ball and catches the prince's eye immediately. They begin to dance while the Prince's mother and Cinderella's stepmother enjoy a game of poker in a backroom. Felicity hustles the queen of all her earnings by pretending to not know how to play well, and eventually convinces her to bet her son's hand in marriage. By cheating she wins and the queen feels bad for what she did.
The ball is attacked by a group of gorilla bandits seeking to capture the queen and prince. They manage to capture the queen, but the prince evades capture because Cinderella fights to protect him, losing a tooth in the process. Cinderella's spell wears off, and the prince is knocked out by Felicity, who is determined to give him to one of her daughters.
The next morning, the prince manages to escape Felicity's goons by putting them to sleep by playing a violin. He runs into Cinderella, not recognizing her, and the shaman. He resolves to rescue his mother and find the woman who he danced with the night before, with only her tooth to go by. Cinderella and the shaman go with him to help him find his mother. As they go, Felicity gets her daughters and goons and hunts after them.
The outlaws take the queen back to their hideout, a ship in the middle of quicksand, and politely threaten her to sign a will that would give their leader her inheritance. She takes advantage of the polite nature of the leader and bides her time while her son and Cinderella run from Felicity and track the outlaws. During their journey, the prince eventually realizes that Cinderella is that mystery woman from the ball.
As Felicity catches up to Cinderella and crew, she pulls out a gun and tries to shoot Cinderella. The prince and shaman trick them into falling off a cliff. They find themselves in a forest dense with bizarre flora, where the bandits find them and begin to ride vultures to chase them. Ultimately they find the bandit hi |
https://en.wikipedia.org/wiki/Cub%20Linux | Cub Linux was a computer operating system designed to mimic the desktop appearance and functionality of ChromeOS. It was based on Ubuntu Linux LTS 14.04 "Trusty Tahr". It used Openbox as the window manager and tools taken from LXDE, Gnome, XFCE as well as a number of other utilities. It was a cloud-centric operating system that was heavily focused on the Chromium Browser. Cub Linux's tagline was "Cub = Chromium + Ubuntu".
History
Cub Linux was originally called Chromixium OS. The developer, RichJack, initially announced the project on the Ubuntu user forums on September 19, 2014. Since then, the project released the first stable version, Chromixium 1.0 as a 32 bit live ISO on April 26, 2015. This was followed by a service pack to address a number of issues such as screen tearing and slow menu generation. In July 2015, a number of updates were rolled into a new release, version 1.5. This was initially 32 bit only, but was followed by a 64 bit release in November 2015.
At some point towards the end of 2015, Google, who owns the rights to the ChromeOS and Chromium trademarks, requested that RichJack cease use of the Chromixium mark and related websites and social media presences. On January 17, 2016, RichJack announced that Chromixium would be changing name to Cub Linux with immediate effect and that the Chromixium name would be completely dropped by 31 March 2016.
Towards the end of 2016, the Cub Linux website mysteriously disappeared. Their GitHub page is still open. User d4zzy, who was involved in Cub Linux's development had this to say about its sudden end: "Cub was killed due to private life restrictions - that was all and there was no one at the time to pick it up."
On July 19, 2017, Dominic Hayes announced that he would be "bringing back Cub" in the form of Phoenix Linux. Phoenix Linux remained in active development until early 2019, when development stopped due to the success of Feren OS. It remained in limbo until Hayes announced the cancellation of the project in November 2022.
Receptions
Jesse Smith from DistroWatch Weekly reviewed Chromixium OS 1.0:
See also
SUSE Studio#Notable appliances
List of Linux distributions#openSUSE-based
Ubuntu
ChromeOS
Chromium Browser
References
External links
Cub Linux Forum
Cub Linux at Distrowatch
Cub Linux source code
Original Chromixium website
Chromixium archive and downloads
Cub Linux archive and downloads
Phoenix Linux website
Computer-related introductions in 2016
X86-64 Linux distributions
Ubuntu derivatives
Linux distributions |
https://en.wikipedia.org/wiki/Quanta%20Cloud%20Technology | QCT is a provider of data center hardware and cloud solutions that are used by hyperscale data center operators.
QCT sells approximately one out of every seven servers manufactured in the world.
In addition to its headquarters in Taoyuan, Taiwan, QCT has offices in San Jose, Seattle, Beijing, Hangzhou and Tokyo.
History
The parent company of QCT is Quanta Computer Inc. (Quanta), a prominent member of the Fortune Global 500, boasting a workforce of approximately 9,000 personnel stationed across global engineering, manufacturing, and service facilities. QCT was established in May 2012 to manufacture servers for end users. In the course of 2012, QCT also added storage hardware and networking switches to its portfolio and became a hardware provider in the cloud market. In 2013 QCT added rack systems to its product portfolio. In 2015 QCT partnered with software vendors to offer software-defined, hyper-converged infrastructure solutions for a variety of cloud environments: public, private and hybrid. Mike Yang serves as general manager of QCT.
Research
In 2012 QCT became an early contributor to the Open Compute Project (OCP). As an OCP solution provider, QCT designs, builds and delivers OCP servers for data centers.
Notes
References
External links
Data centers
Cloud computing providers
Companies based in Taoyuan City
Taiwanese companies established in 2012
Quanta Computer |
https://en.wikipedia.org/wiki/Space%20Patrol%20Luluco | is a Japanese anime television series created by Hiroyuki Imaishi and produced by Studio Trigger. It aired from April to June 2016 as part of the Ultra Super Anime Time programming block.
Plot
Luluco is a normal girl living in the solar system frontier space colonization zone Ogikubo. Her father works for the zone's Space Patrol division. Despite being a part of this wondrous district full of alien immigrants, Luluco often lives an ordinary life as a student. When her father is accidentally frozen by alien contraband, Luluco is forced to request help from her father's Space Patrol division. She is appointed a member of the Space Patrol by the division chief, Over Justice, in order to pay the fees required to revive her father. From then on, Luluco's previously normal life faces drastic changes as she is sent on daily missions to protect Ogikubo from space criminals. On these missions she bands together with her assigned partner and alien exchange student ΑΩ (pronounced "Alpha Omega") Nova, as well as their fairly normal mutual classmate Midori.
Characters
A thirteen-year-old student living with her father in Ogikubo. Innocent, wistful, and nervous, her one true wish is to lead a normal life despite her unusual living situation. She has the ability to transform into a gun via "Judgement Gun Morphing."
A Space Patrol officer and Luluco's partner. He is a recent transfer student at Space Middle School and her classmate. Luluco gains feelings for him and tries her best to get him to notice them.
A fellow classmate at Luluco's school. After being caught as the publisher and distributor of a quasi-legal Blackhole App, she volunteers to join the Space Patrol in order to get out of any punishments for her crimes, as well as to spend more time at the side of ΑΩ Nova.
A flaming skeleton who is the head of the Space Patrol's Ogikubo Branch and Luluco's boss. He is completely static and only stands up from his desk when the situation calls for it.
A temporary staff worker at the Space Patrol. She serves as Over Justice's personal secretary. Unlike the rest of the cast, she is mute and rarely expresses any form of emotion.
A Space Patrol officer and Luluco's father who becomes frozen after eating a strange pill.
Luluco's mother and a space pirate. She seeks to take Ogikubo and sell to the highest bidder. Just like the members of the Space Patrol, she has a gun morphing ability, called "God Pirate's Gun Morphing".
An evil alien masquerading as the leader of the Space Patrol. He manipulates the cast from behind the scenes in order to get what he wants, as his species is prone to shoplifting and other forms of petty crime.
Media
Anime
The series is written and directed by Hiroyuki Imaishi with character design by Mago and Yusuke Yoshigaki. The opening theme is by Fujirokku, while the ending theme is "Pipo Password" by TeddyLoid feat. Bonjour Suzuki. The series features cameo appearances from other Trigger animations, including Kill la Kill, Little |
https://en.wikipedia.org/wiki/Mary%20Fern%C3%A1ndez | Mary Fernández is an American computer scientist and activist for women and minorities in science, technology, engineering, and mathematics (STEM). She is the president of MentorNet, an organization that helps mentors and students develop mentoring relationships.
Education
Fernández enrolled in the engineering department at Brown University in the early 1980s. After taking an introductory computer science course taught by Andries van Dam, she changed her major to computer science. She earned her bachelor's and master's degrees from Brown, and her Ph.D. from Princeton University.
Career
Fernández joined AT&T as a senior technical staff member in 1995. She worked there for seventeen years, ending her career as the Assistant Vice President of Information and Software Systems Research. During her time there, she worked on technology to handle semi-structured XML, particularly the XQuery language.
In 1998, Fernández joined MentorNet, an organization that matches mentors with STEM students and helps them develop mentoring relationships. She joined the board of directors of the organization in 2009, becoming the board chair in 2011. In 2013 she became CEO, and she transitioned to president in 2014 when MentorNet became a division of the Great Minds in STEM non-profit.
Fernández served as the secretary and treasurer of ACM SIGMOD, and was the associate editor of ACM Transactions on Database Systems. She serves on the board of the Computing Research Association. In 2011, Fernández was awarded the Great Minds in STEM Technical Achievement in Industry Award.
References
American women computer scientists
American computer scientists
Brown University alumni
Princeton University alumni
AT&T people
Scientists from New York (state)
Place of birth missing (living people)
Year of birth missing (living people)
Living people
20th-century American scientists
21st-century American scientists
20th-century American women scientists
21st-century American women scientists |
https://en.wikipedia.org/wiki/Expert360 | Expert360 is an online marketplace co-founded by Bridget Loudon and Emily Yue and headquartered in Sydney, Australia. Expert360 acts as a digital network for matching independent business consultants with clients (companies, organizations) for short or long-term project work. The company is best known for its innovative approach to the local and international freelance marketplace.
Description
Expert360's online platform is structured like a standard freelance marketplace as it provides the tools to potential employers to post and manage jobs of interest to independent consultants in the upper tier employment market. Its main consultant base is made of highly qualified workers with experience in senior or executive positions in large and stable corporations or investment firms. The marketplace also has junior representatives from management consulting and investment firms.
Expert360's clients range from small-medium businesses to enterprises such as QSHR, Woolworths and Telstra, as well as consulting and investment firms.
History
Expert360 launched on July 1, 2013. The company's co-founders, Bridget Loudon and Emily Yue, raised $1 million (AUD) from investors in their first funding round at the end of 2013
In 2015, Expert360 closed an oversubscribed capital raising round of $4.1 million (AUD), backed by Russian investment fund Frontier Ventures, Australian technology fund Rampersand and several Australian angel investors. Allan Moss AO is also a notable investor of Expert360. On March 30, 2016, the company announced that it was opening an office in New York City in order to expand its reach in the United States.
See also
Freelance marketplace
Freelancers Union
Independent contractor
Mercenary
Misclassification of employees as independent contractors
Recruitment advertising
Self-employment
References
Telecommuting
Freelance marketplace websites
Companies based in Sydney
Online marketplaces of Australia |
https://en.wikipedia.org/wiki/Isidore%20%28platform%29 | ISIDORE is an online platform that allows research and access to human and social sciences digital data. It's a research assistant for humanists.
Creation
ISIDORE was created in 2009 by the CNRS, using its "Adonis large equipment" facilities, with participation from french companies Antidot, Sword and Mondeca. It is now fully integrated to the Huma-Num research infrastructure for humanities and social sciences.
Usage
ISIDORE harvests metadata and fulltext documents indexes them as digital data by enriching them with scientific terms and references (like thesaurus, taxonomies, etc.) in 3 languages: French, English and Spanish. It is edited as a web portal, isidore.science, an API and a SPARQL endpoint that allows access to enriched data in RDF. ISIDORE is available also like a WP plugin, called ISIDORE Suggestions.
ISIDORE is one of the digital platforms engaged in the sharing of scientific open data and promote FAIR Data.
It currently contains over 7M documents, from more 7000 different collections and sources (digital libraries, journals, academic blogs, open archives, scientific databases, archives, etc.), making it the largest open digital library for humanities and social sciences research.
Sources
ISIDORE associates a large panel of scientific platforms and 'data producers':
electronic edition platforms (Cairn.info, Persée, Revues.org, Erudit, etc.),
digital libraries: (Gallica of the BnF, Mazarinum of the bibliothèque Mazarine, bibliothèque Sainte-Geneviève, bibliothèque inter-universitaire de médecine, etc.)
open archives (HAL-SHS (Hyper Article en Ligne - Sciences de l'Homme et de la Société), theses.fr, Thèses en Ligne TEL, etc.) as well as a large number of other scientific databases maintained by French and foreign laboratories.
References
French digital libraries |
https://en.wikipedia.org/wiki/BeIN%20Channels%20Network | beIN Channels Network (; stylized as beIN) is a direct broadcast satellite service provider and broadcaster owned by beIN Media Group, which is based in Doha, Qatar.
Technology
beIN had launched 6 multi-function interactive decoders:
Sagemcom 4K
beIN 1000s
Humax HD Mini
Humax C1
Humax 3030
Humax 4030
Channels
Sports
beIN Sports HD (free channel)
beIN Sports News HD
beIN Sports 1 HD
beIN Sports 2 HD
beIN Sports 3 HD
beIN Sports 4 HD
beIN Sports 5 HD
beIN Sports 6 HD
beIN Sports 7 HD
beIN Sports 8 HD
beIN Sports 9 HD
beIN Sports 1 HD (English)
beIN Sports 2 HD (English)
beIN Sports 1 HD (French)
beIN Sports 2 HD (French)
beIN Sports NBA HD
beIN Sports XTRA 1 HD
beIN Sports XTRA 2 HD
beIN Sports XTRA 3 HD
beIN Sports Max 1 HD
beIN Sports Max 2 HD
beIN Sports Max 3 HD
beIN Sports Max 4 HD
beIN Sports Max 5 HD
beIN Sports Max 6 HD
beIN Sports AFC HD
beIN Sports AFC 1 HD
beIN Sports AFC 2 HD
beIN Sports AFC 3 HD
beIN Sports AFC 4 HD
beIN Sports AFC 5 HD
Alkass 1 HD
Alkass 2 HD
Alkass 3 HD
Alkass 4 HD
Alkass 5 HD
Alkass 6 HD
Alkass 7 HD
Alkass 8 HD
Alkass 9 HD
Alkass 10 HD
Alkass 11 HD
Movies
beIN Movies Premium HD
beIN Movies Action HD
beIN Movies Drama HD
beIN Movies Family HD
beIN Box Office 1 HD
beIN Box Office 2 HD
Star Movies HD
Fox Movies HD
Fox Action Movies HD
Entertainment
beIN Series 1 HD
beIN Series 2 HD
beIN Drama 1 HD
beIN Gourmet HD
Star World HD
Fatafeat HD
Food Network HD
HGTV
Travel Channel
Fox HD
Fox Life HD
News
CNN International HD
Al Jazeera Mubasher
Al Jazeera English HD
Al Jazeera HD
Bloomberg
Al Araby
France 24 Arabic
France 24 English
France 24 French
Euronews
BBC World News
Kids
Cartoon Network HD
Cartoon Network Hindi HD
Cartoon Network Arabic
Cartoonito HD
BabyTV HD
Baraem HD
Jeem HD
beJunior HD
CBeebies Middle East HD
DreamWorks Channel
Documentary
National Geographic HD
Nat Geo Wild HD
Al Jazeera Documentary HD
BBC Earth HD
Discovery Channel HD
Music
Club MTV
MTV 80s
MTV 90s
UHD
beIN 4K
See also
beIN Sports
MENA
France
Spain (closed in 2019 (Sports) and 2020 (all platforms))
USA
Canada
Australia
Turkey
Hong Kong
Indonesia
beIN Series
beIN Drama
beIN Media Group
References
External links
beIN Connect
Mass media companies established in 2015
2015 establishments in Qatar
Mass media companies of Qatar
Direct broadcast satellite services
BeIN
BeIN Media Group |
https://en.wikipedia.org/wiki/Apache%20Commons%20Logging | Apache Commons Logging (previously known as Jakarta Commons Logging or JCL) is a Java-based logging utility and a programming model for logging and for other toolkits. It provides APIs, log implementations, and wrapper implementations over some other tools.
Log level
The following table defines the log levels and messages in Apache Commons Logging, in decreasing order of severity. The left column lists the log level designation in and the right column provides a brief description of each log level.
Configuration
Two basic abstractions, Log and LogFactory, are used in Apache Commons Logging.
Example
Sample code may look like as follows:
package com.cascadetg.ch09;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.commons.logging.impl.Jdk14Logger;
public class LogGenerator
{
// Note that you pass in an instance of this class to the
// log generator. This allows you to find the messages
// generated by this class.
private static Log log = LogFactory.getLog(LogGenerator.class);
public static void configJDKLogger()
{
try
{
((Jdk14Logger)log).getLogger().setLevel(
java.util.logging.Level.ALL);
((Jdk14Logger)log).getLogger().addHandler(
(java.util.logging.FileHandler)Class
.forName("java.util.logging.FileHandler")
.newInstance());
System.out.println("Added JDK 1.4 file handler");
} catch (Exception e)
{
System.out.println("Unable to load JDK 1.4 logging.");
e.printStackTrace();
}
}
public static void main(String[] args)
{
configJDKLogger();
System.setErr(System.out);
System.out.println();
System.out.println("Test fatal log");
try
{
String foo = null;
int x = 0 / (new Integer(foo)).intValue();
} catch (Exception e)
{
log.fatal(e.getMessage(), e);
}
System.out.println();
System.out.println("Test error log");
try
{
Object foo = null;
foo.toString();
} catch (Exception e)
{
log.error(e.getMessage(), e);
}
System.out.println();
System.out.println("Test warn log");
try
{
Class.forName("com.cascadetg.NonexistantClass");
} catch (Exception e)
{
log.warn("Can't find a non-existent class!");
}
System.out.println();
System.out.println("Test info log");
log.info("Starting app!");
log.info("Quitting app!");
System.out.println();
System.out.println("Test debug log");
if (1 > 2)
{
log.debug("1 > 2 evaluated true");
if (10 % 2 == 0)
log.debug("10 % 2 is 0");
else
log.debug("10 % 2 is not 0");
} else
{
log.debug("1 > 2 evaluated false");
}
System.out.println();
System.out.println("Test trace log");
log.trace("Calling trace method.");
log.trace("Calling trace method.");
log.trace("Calling trace method.");
log.trace("Calling trace method.");
log.trace("Calling trace me |
https://en.wikipedia.org/wiki/Nurse%20TV | Nurse TV may refer to:
Nurse TV (Australia), an Australian community television project
NurseTV (TV network), an American internet TV network |
https://en.wikipedia.org/wiki/Caribherp | Caribherp is an online database containing information on amphibians and reptiles of the Caribbean Islands. It was established in 1999 and serves as a resource for determining the species that occur on specific islands, viewing their distributions, and identifying them by images. Besides the primary search capability by regions and islands, the site features a global search functionality and the ability to refine lists by taxon and origin (endemic or introduced), and to sort by various features. Caribherp also includes common and scientific names, sightings, images, videos, audio of frog calls, distribution maps, geographic regions, and conservation status provided by the International Union for Conservation of Nature (IUCN).
The development and maintenance of Caribherp is accomplished through the work of S. Blair Hedges and his colleagues, and students from Penn State University and (since 2014) Temple University.
Contents
Caribherp database currently contains 1,022 reptile and amphibian species, maps for each species, and about 2000 professional images. This is 5% of the roughly 8,579 amphibian species and 11,940 reptiles species in the world. New species are continually being discovered and described.
References
External links
Official Website
Online databases
Biological databases
Herpetology
Biodiversity databases
Natural history of the Caribbean |
https://en.wikipedia.org/wiki/Jackson%20%28API%29 | In computing, Jackson is a high-performance JSON processor for Java. Its developers extol the combination of fast, correct, lightweight, and ergonomic attributes of the library.
Implementation
Jackson provides multiple approaches to working with JSON, including using binding annotations on POJO classes for simple use cases.
Usage example
Sample code for reading and writing with POJOs may look like the following:
public class ReadWriteJackson {
public static void main(String[] args) throws IOException {
ObjectMapper mapper = new ObjectMapper();
String jsonInput = "{\"id\":0,\"firstName\":\"Robin\",\"lastName\":\"Wilson\"}";
Person q = mapper.readValue(jsonInput, Person.class);
System.out.println("Read and parsed Person from JSON: " + q);
Person p = new Person("Roger", "Rabbit");
System.out.print("Person object " + p + " as JSON = ");
mapper.writeValue(System.out, p);
}
}
References
External links
Java platform
POI
JSON
Cross-platform free software |
https://en.wikipedia.org/wiki/Nextbit%20Robin | The Nextbit Robin was an Android smartphone manufactured by Nextbit (bought by Razer Inc.). The phone was marketed as "Cloud-first" where it utilized cloud storage to store data which wouldn't be used for a long period of time, thus saving space in the device's local storage.
The product and crowdfunding campaign was launched on Kickstarter on September 1, 2015. Twelve hours after it was launched, the phone reached its funding goal of US$500,000, much earlier than the expected goal of 30 days, and completed its $1 million goal within two weeks.
It was launched on February 16, 2016, where 1000 units of the GSM variant was shipped to its backers on Kickstarter, and an additional 2,300 units were sold through its official website.
In January 2017, Nextbit was bought by Singaporean-American videogame hardware manufacturer Razer Inc. Sales of the phone were halted almost immediately after the announcement. On March 1, 2018, the cloud storage feature was shut down by Nextbit. 10 months after the acquisition, in November 2017, Razer released the Razer Phone, their first game-centric smartphone, with the overall design based on the Robin.
Specifications
Hardware
The Robin was mostly made of polycarbonate with a matte finish and a Gorilla Glass 4 front panel. The device weighs approximately and is tall, wide, and thick. The display of the device is a IPS LCD with a resolution of 1920 x 1080 pixels and pixel density of 424 ppi.
It is powered by a six-core Qualcomm Snapdragon 808 (MSM8992), with a 2 + 4 custom processor configuration (2x 1.82 GHz Cortex-A57 + 4x 1.44 GHz Cortex-A53) and 3 GB of LPDDR3 RAM.
Storage
The Robin comes with a built-in 32 GB of internal storage, but does not feature microSD card expansion. Instead, the smartphone utilized cloud storage. It had 100 GB of usable cloud storage offered by Nextbit out of the box, which is integrated within the phone's software as an additional "external" storage. Shortly after being purchased by Razer, Nextbit shut down the cloud storage feature on March 1, 2018, with data accessible until April 1, 2018.
When installed applications, for example, were not used by the user for a long period; the smartphone automatically detected them and archived them into the cloud to reduce internal storage usage. It also adapted to the usage patterns of the user and performed the backup process whenever applicable. The smartphone also stored the user's photos in the cloud in the default resolution appropriate for upload, until the user specified the resolution.
Reception
Sales
Pre-orders after the Kickstarter campaign began in October 2015, with shipping set to start in February 2016. During the preorder period, the Nextbit Robin had estimated arrival time of February. The phone stopped being produced in January 2017, following the companies acquisition by Razer Inc.
Known issues
The Robin had suffered performance issues upon launch, including lag and slow performance of the camera. These issues were m |
https://en.wikipedia.org/wiki/Ali%20Ghodsi | Ali Ghodsi is an Iranian-Swedish AI leader, computer scientist and entrepreneur specializing in distributed systems and big data. He is a co-founder and CEO of Databricks and an adjunct professor at UC Berkeley. Ideas from his academic research in the area of resource management and scheduling and data caching have been applied in popular open source projects such as Apache Mesos, Apache Spark, and Apache Hadoop.
Ghodsi received his PhD from KTH Royal Institute of Technology in Sweden, advised by Seif Haridi. He was a co-founder of Peerialism AB, a Stockholm-based company developing peer-to-peer systems to transport and store data on the Internet. He was also an assistant professor at KTH from 2008 to 2009.
He joined UC Berkeley in 2009 as a visiting scholar and worked with Scott Shenker, Ion Stoica, Michael Franklin, and Matei Zaharia on research projects in distributed systems, database systems, and networking. During this period, he helped start the Apache Mesos and Apache Spark projects. He also co-invented the concept of Dominant Resource Fairness, in a paper that heavily influenced resource management and scheduling design in distributed systems such as Hadoop.
In 2013, he co-founded Databricks, a company that commercializes Spark, and became chief executive in 2016.
References
Living people
Swedish computer scientists
Iranian computer scientists
University of California, Berkeley alumni
1978 births |
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