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https://en.wikipedia.org/wiki/Desperately%20Seeking%20Santa | Desperately Seeking Santa is a television movie starring Laura Vandervoort and Nick Zano. It premiered on ABC Family on November 27, 2011 in their Countdown to 25 Days of Christmas programming block. It is directed by Craig Pryce. It was filmed under the title Hunky Santa.
Plot
Jennifer Walker, PR manager for an aging shopping mall, runs a contest to replace the traditional mall Santa Claus with a "hunky Santa". But complications ensue when she falls in love with contest winner (and struggling restaurateur) David Moretti.
Cast
Laura Vandervoort as Jennifer Walker
Nick Zano as David Moretti
Paula Brancati as Marissa Marlet
John Bregar as Neal McCormick
Patrick Garrow as Edgar Hillridge
Natalie Krill as Brittany
Gerry Mendicino as Mr. Moretti
Katie Griffin as Sonia Moretti
Lisa Berry as Christine Mayweather
References
External links
2011 television films
2011 films
ABC Family original films
Canadian Christmas films
English-language Canadian films
2010s English-language films
Christmas television films
Canadian comedy television films
Films directed by Craig Pryce
2010s Canadian films |
https://en.wikipedia.org/wiki/List%20of%20number-one%20Billboard%20Latin%20Pop%20Albums%20from%20the%202010s | Latin Pop Albums is a record chart published in Billboard magazine that features Latin music sales information in regards to Latin pop music. The data is compiled by Nielsen SoundScan from a sample that includes music stores, music departments at electronics and department stores, Internet sales (both physical and digital) and verifiable sales from concert venues in the United States. Currently, Shakira holds the record of longest run topping the chart with her 2017 album El Dorado, 63 weeks in total so far (as of September 25, 2018).
Number-one albums
Key
– Best-selling Latin pop album of the year
References
General
For information about each week of this chart, follow this link; select a date to view the top albums for that particular week
Specific
Pop 2010s
United States Latin Pop Albums
2010s
2010s in Latin music |
https://en.wikipedia.org/wiki/Canadian%20online%20media | Canadian online media is content aimed at a Canadian audience through the medium of the Internet. Presently, online media can be accessed by computers, smart-phones, gaming consoles, Smart TVs, MP3 players, and tablets. The characteristics of Canadian online media are strongly shaped by the Canadian communications industry, even though their statistics and findings are more often than not associated with American research. Large media companies are increasingly on the move to start up online platforms for news and television content. The exponential growth of Canadians' dependency on online content for entertainment and information has been evident in the recent decades. However, it has proven slow for Canadian online media to catch up with the constant increase of American online media. Regardless of medium, entertainment and information hubs are not solely focusing on satisfying the audience they have, but are also heavily expanding their reach to new global audiences.
Types of online media
News and magazines
As information is increasingly going digital, the Newspaper Audience Databank (NADbank) claims online readership for most Canadian newspapers have surpassed the numbers in print readership. However, there is also lack of evidence that newspapers are coming to an end in Canada. For some of Canada's larger newspapers, readership has increased in both print and online formats. After The Globe and Mail's redesign, they claim to have fueled a 10.2% increase in both their print and online readers.
Highlights from a 2010 study conducted by NADbank revealed the national newspaper readership remains high. Though the migration from print to online newspapers is still ongoing, print editions are still the most popular amongst Canadians.
Many news writers are beginning to have an active Twitter presence to communicate with their audiences. Large newspapers are urging writers to have a public persona on blogs or Twitter. Instant connection is becoming more substantial, as journalists are encouraged to interact with the public. Canadians are also becoming active participants in the journalistic process as journalists are realizing citizens' ability to perform fragments of journalism, such as taking on-the-scene pictures, tweeting, commenting online or simply editing a Wikipedia entry. Alfred Hermida of the University of British Columbia asserts that participatory journalism reinforces the public sphere, while news specialization ironically undermines it.
Online-only news
Openfile.ca was an online-only newspaper that concentrated on community-powered news, with the intent of connecting people with reporters to cover specific communities. Launched in May 2010, OpenFile aimed to promote citizen journalism by enabling anyone to suggest a story to cover, and then a paid journalist would conduct research and produce a polished piece. Stories were also geotagged to improve accessibility to citizens who wanted stories in their immediate neighbourhoods. |
https://en.wikipedia.org/wiki/GNS%20Healthcare | GNS Healthcare is a biosimulation company based in Somerville, MA.
A company called Gene Network Sciences (GNS) had been founded in 2000 by Cornell physicists Colin Hill and Iya Khalil, which focused on computational biology models of interactions among genes and proteins in cells, with a focus on cancer drug discovery.
GNS Healthcare was formed as a subsidiary GNS in 2010 to apply the data analytic methods the company had developed to the healthcare provider, health insurance, pharmacy benefit management and health informatics industries.
References
Further reading
Kolakowski, Nick (September 26, 2012) "GNS Healthcare, Aetna Team on Analytics to Combat Metabolic Syndrome". "Slashdot".
Cambia Health Solutions (April 18, 2012) "Cambia Health Solutions Announces Investment in GNS Healthcare". (Press release).
Miller, Katherine (January 2, 2012) "Big Data Analytics In Biomedical Research". Biomedical Computation Review.
Council on Competitiveness (June 30, 2011) "Council on Competitiveness Showcases Power of High Performance Computing in Case Study with GNS Healthcare" (Press release).
External links
Health care companies based in New York (state) |
https://en.wikipedia.org/wiki/Clustrix | Clustrix, Inc. is a San Francisco-based private company founded in 2006 that develops a database management system marketed as NewSQL.
History
Clustrix was founded in November 2006, and is sometimes called Sprout-Clustrix as it formed with the help of Y Combinator.
Founders include Paul Mikesell (formerly of EMC Isilon) and Sergei Tsarev.
Some of its technology tested at customers since 2008.
Initially called Sierra during the development phase, at its official announcement in 2010, the product was launched with the product name Clustered Database System (CDS).
The company received $10 million in funding from Sequoia Capital, U.S. Venture Partners (USVP), and ATA Ventures in December 2010.
Robin Purohit became chief executive in October 2011, and another round of $6.75 million was raised in July 2012.
Another round of funding from the original backers of $16.5 million was announced in May 2013, and a round of $10 million in new funding in August 2013 was led by HighBAR Ventures.
Purohit was replaced by Mike Azevedo in 2014.
A round of over $23 million in debt financing was disclosed in February 2016. On September 20, 2018 it was announced that Clustrix was acquired by MariaDB Corporation.
Technology
Clustrix supports workloads that involve scaling transactions and real-time analytics. The system is a drop-in replacement for MySQL, and is designed to overcome MySQL scalability issues with a minimum of disruption. It also has built in fault-tolerance features for high availability within a cluster. It has parallel backup and parallel replication among clusters for disaster recovery.
Clustrix is a scale-out SQL database management system and part of what are often called the NewSQL database systems (modern relational database management systems), closely following the NoSQL movement.
The product was marketed as a hardware "appliance" using InfiniBand through about 2014.
Clustrix's database was made available as downloadable software and from the Amazon Web Services Marketplace by 2013.
The primary competitors like Microsoft SQL Server and MySQL supported online transaction processing and online analytical processing but were not distributed. Clustrix provides a distributed relational, ACID database that scales transactions and support real-time analytics. Other distributed relational databases are columnar (they don't support primary transaction workload) and focus on offline analytics and this includes EMC Greenplum, HP Vertica, Infobright, and Amazon Redshift. Notable players in the primary SQL database space are in-memory. This includes VoltDB and MemSQL, which excel at low-latency transactions, but do not target real-time analytics. NoSQL competitors, like MongoDB are good at handling unstructured data and read heavy workloads, but do not compete in the space for write heavy workloads (no transactions, coarse grained (DB-level) locking, and no SQL features (like joins), so the NewSQL and NoSQL databases are complementary.
Query evaluation |
https://en.wikipedia.org/wiki/12%20Dates%20of%20Christmas | 12 Dates of Christmas is a television film starring Amy Smart and Mark-Paul Gosselaar. It premiered on ABC Family on December 11, 2011 in their 25 Days of Christmas programming block. It is directed by James Hayman. The film depicts Smart as Kate, a woman insensitive to the feelings of others and who wants to return to a past relationship, and Gosselaar as Miles, a widower who hopes to find a new romantic partner. After Kate blows off her blind date with Miles on Christmas Eve, she discovers she is stuck in a time-loop, giving her 12 chances to mature, improve her relationships with others, and find romance with Miles.
Plot
Kate Stanton is an advertising agent resentful about her life. Months after her mother died, her boyfriend Jack broke up with her. Now a year later, her father Mike has a new wife, Sally. On Christmas Eve, Kate plans to win back Jack, though her best friend Miyoko is concerned she is denying reality. Kate visits a department store, passing a display of a partridge in a pear tree. She is accidentally sprayed in the face with perfume, then falls and loses consciousness. She awakes to see a store manager and a man named Jim checking on her. She goes to Nick's Bar, passing by a man named Toby, where she meets architect Miles Dufine, a blind date set up by Sally. Kate is rude and leaves the date to meet Jack, only to learn he has a new girlfriend Nancy. Kate joins Mike and Sally for a family Christmas dinner. Sally remarks Kate lost a chance at romance with Miles and can't change the past. At midnight, time rewinds.
Kate again wakes up in the department store, confused how she is experiencing the same day. Two children dressed as turtle doves run down the sidewalk. She tries harder to win over Jack, only to now learn he's planning to propose to Nancy. She meets Miles again but storms off when he mentions a wife. Sally explains he is a widower and his wife Laura died a year ago. At midnight, Kate witnesses time moving backwards, returning her to the department store.
On the third day, after seeing chefs carrying three cooked hens, Kate asks Jack about their relationship. Approaching Miles anonymously, she learns more about him. She spends the evening with her neighbor Margine Frumkin, learning how to bake.
On the fourth day, Kate finds Jack at a jewelry store where a display has four calling birds. She accepts their relationship is over. Kate meets Leigh, whose boyfriend Rich has an annual tradition of making a Christmas display for her. They spend the day together and Kate has a late night meeting with Miles. When she sees Toby again, who is consistently waiting for a blind date, Kate thinks he may be causing the time loop. She confronts him, ruining her date with Miles.
On the fifth day, Kate thanks Jim for always checking on her, then walks past a display case of Five Golden Rings perfume. Rather than wait for her blind date, she spends the day with Miles. At the family dinner, Kate realizes Sally and Mike do love each other |
https://en.wikipedia.org/wiki/Michael%20Kosta | Michael Kosta (born September 27, 1979) is an American stand-up comedian. In July 2017, he joined The Daily Show as a correspondent. He has also hosted The Comment Section for the E! Network with producer Joel McHale as well as co-hosting Fox Sports 1’s Crowd Goes Wild.
Early life
Kosta was born and raised in Ann Arbor, Michigan, and went to Huron High School before attending the University of Illinois. He is of Greek descent. After earning a bachelor's degree in Speech Communications in 2002, Kosta played tennis on the ITF and ATP tour for two years before being hired as the Assistant Men's Tennis Coach for the University of Michigan. While he was the assistant coach, he began to explore his interest in stand-up comedy and performed at local comedy clubs on the side. In 2005, Kosta began a full-time job as a stand-up comic based in Los Angeles.
Career
Stand-up comedy
Kosta has had major appearances on The Tonight Show with Jay Leno, Conan, Chelsea Lately, and Late Night with Seth Meyers as well as a half-hour Comedy Central special called Comedy Central Presents: Michael Kosta, in January 2011. He has also made appearances on TruTV's World's Dumbest, performed at the HBO Comedy Festival in Aspen, and at the Montreal Just for Laughs Festival. Kosta also shot a pilot with Comedy Central called Overloaded with Michael Kosta in fall 2011, but as of October 2012, it has not been broadcast. In 2013, Kosta filmed his own mini-sitcom for network TV under the auspices of FOX's Shortcom Comedy Hour with fellow comedians Neal Brennan, Dov Davidoff, Kevin Smith, and Ali Wong. In 2015, Kosta released his first comedy album on Comedy Dynamics Records, Comedy For Attractive People. Most recently, Michael also released his 1-hour Comedy Central Stand-up Special, Michael Kosta: Detroit. NY. LA. in 2022.
On TV
Kosta has hosted several TV shows:
Correspondent on the Daily Show with Trevor Noah
Fox Sports Detroit show, "CCHA: All Access" won two Michigan Emmys for Outstanding Host in a TV Series (2011)
Backstage host of the 63rd Primetime Emmy Awards “Backstage Live,” on Emmy.com’s (2011)
Co-host of Attack of the Show! and the Next Day T.J. Miller (T.J. Miller on Hosting Comedy Central's "Mash Up")
Featured comedian on E!’s The Soup Investigates, where he led the segment "Spoilers in the Streets"
Catch on NBC (2014)
Co-host of Fox Sports 1 daytime talk show Crowd Goes Wild
Co-producer and host of The Comment Section on The E! Network.
Host of seasons one and two of Warm & Fuzzy on the Tennis Channel.
Guest on The Joe Rogan Experience.
Guest host on The Daily Show (week of October 16, 2023).
Tennis
Kosta played tennis on the ITF and ATP tour for two years before being hired as the Assistant Men's Tennis Coach for the University of Michigan. He formerly ranked #864 in the world tennis ranking. He currently hosts his own podcast, Tennis Anyone, dedicated to all things tennis.
References
External links
Michael Kosta official website
Living peo |
https://en.wikipedia.org/wiki/Value%20restriction | In programming languages with Hindley-Milner type inference and imperative features, in particular the ML programming language family, the value restriction means that declarations are only polymorphically generalized if they are syntactic values (also called non-expansive). The value restriction prevents reference cells from holding values of different types and preserves type safety.
A Counter Example to Type Safety
In the Hindley–Milner type system, expressions can be given multiple types through parametric polymorphism. But naively giving multiple types to references breaks type safety. The following are typing rules for references and related operators in ML-like languages.
The operators have the following semantics: takes a value and creates a reference containing that value, (dereference) takes a reference and reads the value in that reference, and (assignment) updates a reference to contain a new value and returns a value of the unit type. Given these, the following program unsoundly applies a function meant for integers to a Boolean value.let val c = ref (fn x => x)
in c := (fn x => x + 1);
!c true
endThe above program type checks using Hindley-Milner because c is given the type , which is then instantiated to be of the type when typing the assignment c := (fn x => x + 1), and ref when typing the dereference !c true.
The Value Restriction
Under the value restriction, the types of let bound expressions are only generalized if the expressions are syntactic values. In his paper, Wright considers the following to be syntactic values: constants, variables, -expressions and constructors applied to values. The function and operator applications are not considered values. In particular, applications of the operator are not generalized. It is safe to generalize type variables of syntactic values because their evaluation cannot cause any side-effects such as writing to a reference.
The above example is rejected by the type checker under the value restriction as follows.
First c is given the type . This type is not generalized and is a free variable in the typing context for the body of the let binding.
When the assignment is typed, the type of c is modified in the typing context to be of type via unification.
The dereference !c is typed as , but is applied to a value of type , and the type checker rejects the program.
See also
Hindley–Milner type inference
References
Mads Tofte (1988). Operational Semantics and Polymorphic Type Inference. PhD thesis.
M. Tofte (1990). "Type inference for polymorphic references".
O'Toole (1990). "Type Abstraction Rules for Reference: A Comparison of Four Which Have Achieved Notoriety".
Xavier Leroy & Pierre Weis (1991). "Polymorphic type inference and assignment". POPL '91.
A. K. Wright (1992). "Typing references by effect inference".
My Hoang, John C. Mitchell and Ramesh Viswanathan (1993). "Standard ML-NJ weak polymorphism and imperative constructs".
Andrew Wright (1995). "Simp |
https://en.wikipedia.org/wiki/FortranM | FortranM is a computer language for modular parallel programming. Its syntax is based on Fortran but has additional elements such as channels and ports for communication between processes.
The language was designed by K. Mani Chandy's group at Caltech, along with an Argonne national labs team.
The compiler for the language is freely available from Argonne labs.
In FortranM processes communicate by sending and receiving messages on channels. Processes and channels can be dynamically created, but programs remain deterministic.
Sources
Fortran |
https://en.wikipedia.org/wiki/Rank%20SIFT | Rank SIFT algorithm is the revised SIFT (Scale-invariant feature transform) algorithm which uses ranking techniques to improve the performance of the SIFT algorithm. In fact, ranking techniques can be used in key point localization or descriptor generation of the original SIFT algorithm.
SIFT With Ranking Techniques
Ranking the Key Point
Ranking techniques can be used to keep certain number of key points which are detected by SIFT detector.
Suppose is a training image sequence and is a key point obtained by SIFT detector. The following equation determines the rank of in the key point set. Larger value of corresponds to the higher rank of .
where is the indicator function, is the homography transformation from to , and is the threshold.
Suppose is the feature descriptor of key point defined above. So can be labeled with the rank of in the feature vector space. Then the vector set containing labeled elements can be used as a training set for the Ranking SVM problem.
The learning process can be represented as follows:
The obtained optimal can be used to order the future key points.
Ranking the Elements of Descriptor
Ranking techniques also can be used to generate the key point descriptor.
Suppose is the feature vector of a key point and the elements of is the corresponding rank of in . is defined as follows:
After transforming original feature vector to the ordinal descriptor , the difference between two ordinal descriptors can be evaluated in the following two measurements.
The Spearman correlation coefficient
The Spearman correlation coefficient also refers to Spearman's rank correlation coefficient.
For two ordinal descriptors and , it can be proved that
The Kendall's Tau
The Kendall's Tau also refers to Kendall tau rank correlation coefficient.
In the above case, the Kendall's Tau between and is
References
Object recognition and categorization |
https://en.wikipedia.org/wiki/Ranking%20SVM | In machine learning, a ranking SVM is a variant of the support vector machine algorithm, which is used to solve certain ranking problems (via learning to rank). The ranking SVM algorithm was published by Thorsten Joachims in 2002.
The original purpose of the algorithm was to improve the performance of an internet search engine. However, it was found that ranking SVM also can be used to solve other problems such as Rank SIFT.
Description
The ranking SVM algorithm is a learning retrieval function that employs pairwise ranking methods to adaptively sort results based on how 'relevant' they are for a specific query. The ranking SVM function uses a mapping function to describe the match between a search query and the features of each of the possible results. This mapping function projects each data pair (such as a search query and clicked web-page, for example) onto a feature space. These features are combined with the corresponding click-through data (which can act as a proxy for how relevant a page is for a specific query) and can then be used as the training data for the ranking SVM algorithm.
Generally, ranking SVM includes three steps in the training period:
It maps the similarities between queries and the clicked pages onto a certain feature space.
It calculates the distances between any two of the vectors obtained in step 1.
It forms an optimization problem which is similar to a standard SVM classification and solves this problem with the regular SVM solver.
Background
Ranking method
Suppose is a data set containing elements . is a ranking method applied to . Then
the in can be represented as a binary matrix. If the rank of is higher than the rank of , i.e. , the corresponding position of this matrix is set to value of "1". Otherwise the element in that position will be set as the value "0".
Kendall's tauA. Mood, F. Graybill, and D. Boes. Introduction to the Theory of Statistics. McGraw-Hill, 3rd edition, 1974
Kendall's Tau also refers to Kendall tau rank correlation coefficient, which is commonly used to compare two ranking methods for the same data set.
Suppose and are two ranking method applied to data set , the Kendall's Tau between and can be represented as follows:
where is the number of concordant pairs and is the number of discordant pairs (inversions). A pair and is concordant if both and agree in how they order and . It is discordant if they disagree.
Information retrieval qualityY. Yao. "Measuring retrieval effectiveness based on user preference of documents." Journal of the American Society for Information Science, 46(2): 133–145, 1995.
Information retrieval quality is usually evaluated by the following three measurements:
Precision
Recall
Average precision
For a specific query to a database, let be the set of relevant information elements in the database and be the set of the retrieved information elements. Then the above three measurements can be represented as follows:
where is t |
https://en.wikipedia.org/wiki/Orbicom-UNESCO | Orbicom is a global academic network founded in 1994 under the aegis of UNESCO, bringing together academics and communication and media professionals, with the aim of stimulating the exchange of information and the development of joint projects, in order to examine how this constantly evolving field can contribute to promoting democracy and sustainable development. Its head office is based in Montreal, Canada.
This network, which is at the crossroads of teaching, research and professional practices, was created jointly in May 1994 by UNESCO and Université du Québec à Montréal (UQAM - Canada). It currently comprises more than 60 UNESCO Research Chairs in Communication and about 280 members from many countries in all regions of the world, for example in South Africa, Germany, Australia, Brazil, Bulgaria, Canada, China, Colombia, Spain, United States, France, Hungary, India, Lithuania, Mexico, Peru, Russia, Uruguay.
The first mission of the Orbicom network is to “develop and promote the sharing of knowledge and expertise in communication through education, research and concrete action". It also aims to focus on development-related communication issues, including bilateral and multilateral aid policies, national policies and communication laws.
Linking specialists around the world working in different communication sectors, and supported by international institutions, media, governments and businesses, it is part of UNESCO's new communication strategy, unanimously adopted at the 1989 General Conference.
The "Orbicom" association, bringing together UNESCO chairs in communication, has been chaired since 2018 by Professor Jamal Eddine Naji, a Moroccan academic. Members meet at conferences held annually in various countries.
External links
Official Web site of Orbicom
Mission and Mandates
UNESCO Chairs Members of Orbicom
Governing Body
References
UNESCO
Technology transfer |
https://en.wikipedia.org/wiki/Feature%20scaling | Feature scaling is a method used to normalize the range of independent variables or features of data. In data processing, it is also known as data normalization and is generally performed during the data preprocessing step.
Motivation
Since the range of values of raw data varies widely, in some machine learning algorithms, objective functions will not work properly without normalization. For example, many classifiers calculate the distance between two points by the Euclidean distance. If one of the features has a broad range of values, the distance will be governed by this particular feature. Therefore, the range of all features should be normalized so that each feature contributes approximately proportionately to the final distance.
Another reason why feature scaling is applied is that gradient descent converges much faster with feature scaling than without it.
It's also important to apply feature scaling if regularization is used as part of the loss function (so that coefficients are penalized appropriately).
Methods
Rescaling (min-max normalization)
Also known as min-max scaling or min-max normalization, rescaling is the simplest method and consists in rescaling the range of features to scale the range in [0, 1] or [−1, 1]. Selecting the target range depends on the nature of the data. The general formula for a min-max of [0, 1] is given as:
where is an original value, is the normalized value. For example, suppose that we have the students' weight data, and the students' weights span [160 pounds, 200 pounds]. To rescale this data, we first subtract 160 from each student's weight and divide the result by 40 (the difference between the maximum and minimum weights).
To rescale a range between an arbitrary set of values [a, b], the formula becomes:
where are the min-max values.
Mean normalization
where is an original value, is the normalized value, is the mean of that feature vector. There is another form of the means normalization which divides by the standard deviation which is also called standardization.
Standardization (Z-score Normalization)
In machine learning, we can handle various types of data, e.g. audio signals and pixel values for image data, and this data can include multiple dimensions. Feature standardization makes the values of each feature in the data have zero-mean (when subtracting the mean in the numerator) and unit-variance. This method is widely used for normalization in many machine learning algorithms (e.g., support vector machines, logistic regression, and artificial neural networks). The general method of calculation is to determine the distribution mean and standard deviation for each feature. Next we subtract the mean from each feature. Then we divide the values (mean is already subtracted) of each feature by its standard deviation.
Where is the original feature vector, is the mean of that feature vector, and is its standard deviation.
Scaling to unit length
Another option that is wide |
https://en.wikipedia.org/wiki/BranchOut | BranchOut was a Facebook application designed for finding jobs, networking professionally, and recruiting employees. It was founded by Rick Marini in July 2010, and was, , the largest professional networking service on Facebook. The company sold its assets to HR Software Company 1-Page in November 2014 and the staff was picked up by Hearst.
History
BranchOut launched in June 2010 as a Facebook app. Rick Marini, the founder and CEO of SuperFan, received a call from a friend asking if he knew anyone at a particular company. Marini knew he had a mutual connection, but couldn't remember the person specifically. He was unable to find the connection by searching on Facebook and asked if SuperFan's Director of Engineering could build a widget to accomplish the task. Marini saw potential in the application and pivoted SuperFan's team to begin development on the product.
In July 2010, Marini launched BranchOut. In September 2010, BranchOut announced a $6 million Series A round of funding led by Accel Partners, Floodgate, and Norwest Venture Partners, with additional investments from founders and executives at Napster, Facebook, WordPress, and Google. In January 2011, BranchOut's userbase grew by a factor of 25, increasing from 10,000 to 250,000.
In May 2011, BranchOut raised $18 million in a Series B round of funding from Redpoint Ventures, Accel Partners, Norwest Venture Partners, and Floodgate. Soon after, BranchOut experienced a period of explosive growth, which Marini attributes to superconnectors joining BranchOut, noting that people began to sign up to the service en masse after people like TechCrunch founder Michael Arrington installed the app.
In May 2011, BranchOut listed 3 million open jobs (sourced from Indeed.com) and 20,000 internships and was active in 60 countries and is available in 15 languages.
Despite raising a total of $49 million, BranchOut users dropped and the company relaunched as a 'workplace chat' application.
The current company is not related to the 20th century incarnation. In 1996, Lee Newman and David Ronick had co-founded a site called "BranchOut.com" designed "to help you find people with whom you share common bonds – like your high school, your hometown, your college, your grad school, your company, your industry – even friends of friends." The site started at Ivy League schools only, then opened up to the general public in 1998.
Site structure
BranchOut is a free Facebook application which allows users to create professional profiles that include their work history and education (personal information, like photo albums and status updates, is not included within these profiles). Once the user installs the application, a dashboard is displayed that shows the user's corporate relationships.
BranchOut has three types of enterprise products for job seekers and recruiters: job postings, CareerConnect, and RecruiterConnect. The social job postings feature enables companies to publish job listings on their Facebook fan |
https://en.wikipedia.org/wiki/Classifier%20chains | Classifier chains is a machine learning method for problem transformation in multi-label classification. It combines the computational efficiency of the binary relevance method while still being able to take the label dependencies into account for classification.
Problem transformation
Several problem transformation methods exist. One of them is the Binary Relevance method (BR). Given a set of labels and a data set with instances of the form where is a feature vector and is a set of labels assigned to the instance. BR transforms the data set into data sets and learns binary classifiers for each label . During this process the information about dependencies between labels is not preserved. This can lead to a situation where a set of labels is assigned to an instance although these labels never co-occur together in the data set. Thus, information about label co-occurrence can help to assign correct label combinations. Loss of this information can in some cases lead to a decrease in classification performance.
Another approach, which takes into account label correlations, is the Label Powerset method (LP). Each combination of labels in a data set is considered to be a single label. After transformation a single-label classifier is trained where is the power set of all labels in . The main drawback of this approach is that the number of label combinations grows exponentially with the number of labels. For example, a multi-label data set with 10 labels can have up to label combinations. This increases the run-time of classification.
The Classifier Chains method is based on the BR method and it is efficient even on a big number of labels. Furthermore, it considers dependencies between labels.
Method description
For a given set of labels the Classifier Chain model (CC) learns classifiers as in the Binary Relevance method. All classifiers are linked in a chain through feature space.
Given a data set where the -th instance has the form where is a subset of labels, is a set of features. The data set is transformed in data sets where instances of the -th data set has the form . If the -th label was assigned to the instance then is , otherwise it is . Thus, classifiers build a chain where each of them learns binary classification of a single label. The features given to each classifier are extended with binary values that indicate which of previous labels were assigned to the instance.
By classifying new instances the labels are again predicted by building a chain of classifiers. The classification begins with the first classifier and proceeds to the last one by passing label information between classifiers through the feature space. Hence, the inter-label dependency is preserved. However, the result can vary for different order of chains. For example, if a label often co-occur with some other label, then only instances of the label which comes later in the chain will have information about the other one in its feature vector. |
https://en.wikipedia.org/wiki/Tarragal%20Caves | The Tarragal Caves are a network of large limestone caves and rockshelters which overlook the Bridgewater Lakes near the towns of Tarragal and Cape Bridgewater, Victoria in the Charles La Trobe and are near Discovery Bay Coastal Park. The caves were identified as important Aboriginal camping places early in the historic period, and were excavated in the late 1970s by Harry Lourandos, revealing stratified deposits in the floor of 11,300 years old, along with shell midden deposits and earth ovens over 11,000 years old.
Located just off the Bridgewater Lakes Road, and accessible in part by walking track, the cave openings form a series of galleries with clear views across the surrounding landscape and lakes.
One of the caves extends under ground for over and has a sinkhole opening to the surface so that there is a constant stream of air through the cave and rising up the hole. It is said that whenever Aborigines approached this, they would a piece of wood into the hole to "propitiate the demon supposed to reside within its profound and mysterious depths."
Colonial administrator Charles La Trobe visited the site in 1845 and 1846, and had some of his men lower a rope ladder over the cliff so he could explore the caves. He also provided a detailed description in 1846, noting that "...the ‘natives’ referred to it as ‘Lubras’ Cave’" and that they "...knew the caverns well and ...had a superstitious dread of them, stating that the caverns below were inhabited by headless lubras". LaTrobe noted that when they came to the point under the sink hole there was a large pile of timber, assumed to be the items thrown down by Aborigines over the ages. They then set fire to the pile lighting up the cave "... and displayed a magnificent vaulted chamber, bedecked with long glistening stalactites, and tenanted by vast numbers of bats, whose whirring, whizzing noise was probably that which the natives attributed to some supernatural being."
An early etching depicting an Aboriginal family in the cave entrance was probably inspired by La Trobe's record.
Pollen analysis of sediments in the cave has assisted in reconstructing the Pleistocene climate and environment of the region and understanding what resources were available to Aborigines.
See also
New Guinea II cave
Buchan Caves
Cloggs Cave
References
Notes
Josephine Flood, Archaeology of the Dreamtime, J. B. Publishing
Phillip J. Habgood & Natilie R. Franklin, The revolution that didn't arrive: A review of Pleistocene Sahul, Journal of Human Evolution, 55, 2008
Pleistocene paleontological sites of Australia
History of Victoria (state)
Caves of Victoria (state)
Limestone caves
Rock shelters in Australia |
https://en.wikipedia.org/wiki/Polypoetes%20subcandidata | Polypoetes subcandidata is a moth of the family Notodontidae. It is found in Colombia.
References
Moths described in 1910
Notodontidae of South America |
https://en.wikipedia.org/wiki/International%20Academic%20Association%20for%20the%20Enhancement%20of%20Learning%20in%20Higher%20Education | The Institute for Learning in Higher Education (LiHE) was set up in 2007 to advance learning centred higher education. It functions a network bringing together international researchers and practitioners within higher education, to further advance research in this area. LiHE is voluntarily run by a group of co-directors, all serving as professors at various universities and business schools.
The executive director of LiHE is Professor Dr. Claus Nygaard (Copenhagen Business School, Denmark). Co-directors are Professor Dr. John Branch (University of Michigan, Ann Arbor); Professor Dr. Paul Bartholomew (Aston University, Birmingham). Previous co-directors are Dr. Nigel Courtney (Cass Business School, London ); Professor Clive Holtham (Cass Business School, London ).
References
External links
International educational organizations |
https://en.wikipedia.org/wiki/List%20of%20awards%20and%20nominations%20received%20by%20Damian%20Lewis | The following is a List of awards and nominations received by Damian Lewis throughout his career.
By award
Biarritz International Festival of Audiovisual Programming
Television awards
Critics' Choice Television Awards
Emmy Awards
Golden Globe Awards
Television awards
Gotham Awards
Film awards
Satellite Awards
Television awards
Screen Actors Guild Awards
Television awards
By film or TV series
References
Lewis, Damian |
https://en.wikipedia.org/wiki/Price%20intelligence | Price Intelligence (or Competitive Price Monitoring) refers to the awareness of market-level pricing intricacies and the impact on business, typically using modern data mining techniques. It is differentiated from other pricing models by the extent and accuracy of the competitive pricing analysis. The technique can be applied by companies seeking to optimize their own pricing strategy relative to their competition, or by buyers seeking to optimize their purchasing strategies.
Importance
Price Intelligence has become a table stakes requirement for retailers, for several key reasons:
Increased consumer price sensitivity.
Increased aggressiveness from competitors. Retail giants change prices upwards of 50,000 times per month. Amazon is the most aggressive with pricing, changing prices every 10 minutes or more often at times.
Increased price transparency and showrooming. Increasing smartphone adoption has played a large role in the prevalence of showrooming.
There are several technology companies that specialize in using modern data-mining techniques to discover, match, extract and report on competitive pricing data. According to RSR Research's 2013 annual pricing benchmark study that surveys retailers, 13% of retailers have fully deployed a price intelligence system. Another 54% of retailers surveyed were either piloting, evaluating or exploring putting one in place.
Process
Competitive price monitoring typically involves the following steps:
Discovery - Finding the product pages on various competitor websites.
Matching - Determining through algorithms or human intelligence, whether or not the product matches exactly, or if it is a comparable product.
Extraction - Process of gathering the price, shipping information, and availability data from the competitor website.
Measurable data quality - Adding the extracted information to a database and checking regularly for accuracy.
Reporting and Analytics - Ability to gain actionable insights from the data that has been gathered.
Applications
Optimize corporate pricing strategy: Retailers are using price intelligence to gain a better understanding of their price position in the market, relative to their competitors, and make strategic pricing changes according to real-data. In concrete terms, this can mean that retailers use competitor monitoring, dynamic pricing, price monitoring, and real-time tracking on marketplaces.
Improve in-store experience: Several retailers have taken price intelligence into their stores and empowered their in-store associates to ease the process of price matching requests. In March 2014, Wal-Mart launched Savings Checker. It allows consumers to check prices and get back the difference as a Wal-Mart Rewards eGift Card if another local retailer has any of the advertised sale products at a cheaper price.
Boost pay-per-click conversion rates: Retailers are using price intelligence data in their paid search campaigns to throttle their ad spend based on price positi |
https://en.wikipedia.org/wiki/MLB%20Pennant%20Race | MLB Pennant Race is a baseball simulator released for the PlayStation on October 14, 1996 by Sony Computer Entertainment. The game takes place during the 1996 Major League Baseball season. Rosters and statistics are accurate as of the 1995 Major League Baseball season.
Reception
MLB Pennant Race experienced exceptionally long delays, and some critics felt that it greatly suffered as a result, being a game with 1995 stats released when the 1996 MLB season was over. Other common criticisms were the slowness of the games and scorekeeper bugs such as counting swung-on strikes as balls. However, reviewers complimented the large selection of options and modes and the easy, accurate batting interface and controls. Opinions varied concerning the graphics; Hugh Sterbakov of GameSpot said they were excellent, a reviewer for Next Generation said they fell short of the competition, and Air Hendrix of GamePro said he personally felt they were not as good as polygonal graphics, but that they were done well for what they were and that those who like 2D graphics would enjoy them. Overall opinions of the game also varied. Todd Mowatt of Electronic Gaming Monthly said it was "a lot of fun to play", while his co-reviewer Joe Rybicki found it lacking and said gamers should rent it first. The reviewer for Next Generation concluded that its late release and inferior gameplay and graphics compared to the competition made it not worth getting. IGN criticized the game as being dated, specifically interface elements such as the batting cursor. Sterbakov said it was a mixed bag, but that some players would find its good points appealing and be able to overlook its negative points. Air Hendrix said it was an overall solid game, but beaten out by Triple Play '97.
See also
ESPN Baseball Tonight, Sony's predecessor for 16-bit consoles
989 Sports Major League Baseball series, Sony's successor for PlayStation
References
External links
GameSpot
1996 video games
Baseball video games
Major League Baseball video games
North America-exclusive video games
PlayStation (console) games
PlayStation (console)-only games
Video games developed in the United States |
https://en.wikipedia.org/wiki/Clash%20of%20Wings | Clash of Wings is a 15-episode documentary television series which originally aired in 1998 on the Discovery Channel. The hour-long episodes were some of the initial shows of Discovery Network's 1999 launch of the Discovery Wings and later the 2005 launch of the Military Channel. Aired as a knock-off of the Clash of Wings (1994) reference book by air historian Walter J. Boyne, the programs were produced in 1998 and aired the next year appearing as some of the initial original content in the launch of the new Discovery Wings cable channel (before its name change in 2005 to the Military Channel). The programs were hosted and partially narrated and written by Boyne, (also credited as associate producer) together with director-producer John Honey, and presented by executive producer Phillip Osborn. The effort adapted his encyclopedic work of the same name.
Like many World War II documentaries involving aircraft, the displayed content uses many scenes from gun camera footage and other military films now in the public domain. The series also interspersed color film of surviving combat aircraft types from multiple camera angles and in a variety of operations modes. Unlike many documentaries about the era, the series makes no effort to present on-camera interviews, instead focusing on an overarching narrative appropriate to that episode's specific title. Boyne is not the sole narrator, but uses multiple narrators to describe details while Boyne ties the segments together as host.
Series scope
The first air attack of World War II officially commenced at 04:34 hours on September 1, 1939, when three Luftwaffe Ju 87 Stukas attacked railway bridges in Poland. The air war effectively ended at 10:58 hours on August 9, 1945, when a solitary B-29 Superfortress over the Japanese city of Nagasaki dropped the second atomic bomb. The Stukas carried 250 kg bombs: the A-bomb dropped by the B-29 was equivalent to 23,000 tons of TNT and couldn't have been lifted by any plane besides the B-29s. In just six years of warfare, air power had changed and grown in destruction capability almost beyond recognition.
Based on the international bestselling book by Walter Boyne, director of the Smithsonian's Air and Space Museum, the Clash of Wings series covers the air war in every theatre from 1939 to 1945.
From the earliest blitzkriegs against Poland to the pounding of mainland Imperial Japan, from the jungles and mountains of India and Burma in the fighting to support invaded China over the infamous terrain of the Hump in the lofty Himalayas in the Southeast Asia Campaigns.
Covering topics as diverse as the Battle of Britain and the Blitz to the eventual massive allied bomber raids into the heart of Nazi Germany — as air superiority was lost by Germany and then won by the allies — and from the great aircraft carrier duels in the Pacific to the bitter air battles over the Soviet Union, Clash of Wings details the great air battles and the role of air power in the Second World |
https://en.wikipedia.org/wiki/SAP%20Mobile%20Platform | SAP Mobile Platform (formerly Sybase Unwired Platform) is a mobile enterprise application platform designed to simplify the task of creating applications that connect business data to mobile devices for workflow management and back-office integration. SAP Mobile Platform provides a layer of middleware between heterogeneous back-end data sources, such as relational databases, enterprise applications and files, and the mobile devices that need to read and write back-end data.
Application developers write the business logic of a mobile application using the development tools in SAP Mobile Platform. The product automatically does the translation required to create customized versions of the new application for a wide variety of mobile devices and operating systems. The intent is to make it easier and faster to create complex applications that use multiple data sources and will work on many different mobile devices.
History
Sybase first released Sybase Unwired Platform in 2008. Written in C and Java. Version 2.3 of the product was the first to be released as SAP Mobile Platform.
Version 3.0: Released May 2014
Version 2.3: Released end of 2013 as SAP Mobile Platform
Version 2.2: Released in March 2013
Version 2.1.3: Released in May 2012
Version 2.1.2: Released February 2012
Version 2.1.1: Released November 2011
Version 2.1: Released September 2011
Version 2.0: Released 2011
Version 1.5.2: Released 2010
Version 1.2: Released 2009
Version 1.0: Released 2008
Features
Appcelerator
Cordova support
Mobile Analytics Kit (MAKit)
Mobile SDK
Hybrid Web Container
4GL tooling environment
Eclipse plug-in
Integrated mobile device management and application enablement
Support for multiple device types, including Android, iOS, BlackBerry, Windows Mobile, and Windows laptops/tablets.
Integrates with SAP, Remedy Corp, and other applications that leverage databases or service oriented architecture.
Unwired Platform Runtime
Secure access between mobile devices and a network
Usage
To use Sybase Unwired Platform, a software developer drags and drops table names from a database list into a diagram, which creates what the product calls a "mobile business object." The Sybase Unwired Platform server uses that object to determine how data will be shared between the server and mobile clients, and then performs "code generation" to create customized versions for individual mobile platforms.
Competitors
Tokn: builds integrated enterprise apps for any system such as SAP, Oracle, IFS, SQL with all apps run native on Android, Microsoft and IOS.
Syclo: Following SAP's acquisition, Syclo's Agentry solution became part of SAP Mobile Platform in its 2.3 release.
KonyOne Platform
Verivo
Convertigo
Nitro Mobile Solutions
Appcelerator
See also
Mobile application management
Mobile device
Mobile device management
Mobile enterprise application platform
Cross-platform software
Unwired enterprise
Sybase
References
Sujoy Sameer Das, Bosch
Mobile business software |
https://en.wikipedia.org/wiki/Diffusion%20map | Diffusion maps is a dimensionality reduction or feature extraction algorithm introduced by Coifman and Lafon which computes a family of embeddings of a data set into Euclidean space (often low-dimensional) whose coordinates can be computed from the eigenvectors and eigenvalues of a diffusion operator on the data. The Euclidean distance between points in the embedded space is equal to the "diffusion distance" between probability distributions centered at those points. Different from linear dimensionality reduction methods such as principal component analysis (PCA), diffusion maps are part of the family of nonlinear dimensionality reduction methods which focus on discovering the underlying manifold that the data has been sampled from. By integrating local similarities at different scales, diffusion maps give a global description of the data-set. Compared with other methods, the diffusion map algorithm is robust to noise perturbation and computationally inexpensive.
Definition of diffusion maps
Following and, diffusion maps can be defined in four steps.
Connectivity
Diffusion maps exploit the relationship between heat diffusion and random walk Markov chain. The basic observation is that if we take a random walk on the data, walking to a nearby data-point is more likely than walking to another that is far away. Let be a measure space, where is the data set and represents the distribution of the points on .
Based on this, the connectivity between two data points, and , can be defined as the probability of walking from to in one step of the random walk. Usually, this probability is specified in terms of a kernel function of the two points: . For example, the popular Gaussian kernel:
More generally, the kernel function has the following properties
( is symmetric)
( is positivity preserving).
The kernel constitutes the prior definition of the local geometry of the data-set. Since a given kernel will capture a specific feature of the data set, its choice should be guided by the application that one has in mind. This is a major difference with methods such as principal component analysis, where correlations between all data points are taken into account at once.
Given , we can then construct a reversible discrete-time Markov chain on (a process known as the normalized graph Laplacian construction):
and define:
Although the new normalized kernel does not inherit the symmetric property, it does inherit the positivity-preserving property and gains a conservation property:
Diffusion process
From we can construct a transition matrix of a Markov chain () on . In other words, represents the one-step transition probability from to , and gives the t-step transition matrix.
We define the diffusion matrix (it is also a version of graph Laplacian matrix)
We then define the new kernel
or equivalently,
where D is a diagonal matrix and
We apply the graph Laplacian normalization to this new kernel:
where is a diag |
https://en.wikipedia.org/wiki/Preference%20learning | Preference learning is a subfield in machine learning, which is a classification method based on observed preference information. In the view of supervised learning, preference learning trains on a set of items which have preferences toward labels or other items and predicts the preferences for all items.
While the concept of preference learning has been emerged for some time in many fields such as economics, it's a relatively new topic in Artificial Intelligence research. Several workshops have been discussing preference learning and related topics in the past decade.
Tasks
The main task in preference learning concerns problems in "learning to rank". According to different types of preference information observed, the tasks are categorized as three main problems in the book Preference Learning:
Label ranking
In label ranking, the model has an instance space and a finite set of labels . The preference information is given in the form indicating instance shows preference in rather than . A set of preference information is used as training data in the model. The task of this model is to find a preference ranking among the labels for any instance.
It was observed some conventional classification problems can be generalized in the framework of label ranking problem: if a training instance is labeled as class , it implies that . In the multi-label case, is associated with a set of labels and thus the model can extract a set of preference information . Training a preference model on this preference information and the classification result of an instance is just the corresponding top ranking label.
Instance ranking
Instance ranking also has the instance space and label set . In this task, labels are defined to have a fixed order and each instance is associated with a label . Giving a set of instances as training data, the goal of this task is to find the ranking order for a new set of instances.
Object ranking
Object ranking is similar to instance ranking except that no labels are associated with instances. Given a set of pairwise preference information in the form and the model should find out a ranking order among instances.
Techniques
There are two practical representations of the preference information . One is assigning and with two real numbers and respectively such that . Another one is assigning a binary value for all pairs denoting whether or . Corresponding to these two different representations, there are two different techniques applied to the learning process.
Utility function
If we can find a mapping from data to real numbers, ranking the data can be solved by ranking the real numbers. This mapping is called utility function. For label ranking the mapping is a function such that . For instance ranking and object ranking, the mapping is a function .
Finding the utility function is a regression learning problem which is well developed in machine learning.
Preference relations
The binary representation of |
https://en.wikipedia.org/wiki/Skill%20chaining | Skill chaining is a skill discovery method in continuous reinforcement learning. It has been extended to high-dimensional continuous domains by the related Deep skill chaining algorithm.
References
Machine learning algorithms |
https://en.wikipedia.org/wiki/MM%20algorithm | The MM algorithm is an iterative optimization method which exploits the convexity of a function in order to find its maxima or minima. The MM stands for “Majorize-Minimization” or “Minorize-Maximization”, depending on whether the desired optimization is a minimization or a maximization. Despite the name, MM itself is not an algorithm, but a description of how to construct an optimization algorithm.
The expectation–maximization algorithm can be treated as a special case of the MM algorithm.
However, in the EM algorithm conditional expectations are usually involved, while in the MM algorithm convexity and inequalities are the main focus, and it is easier to understand and apply in most cases.
History
The historical basis for the MM algorithm can be dated back to at least 1970, when Ortega and Rheinboldt were performing studies related to line search methods. The same concept continued to reappear in different areas in different forms. In 2000, Hunter and Lange put forth "MM" as a general framework. Recent studies have applied the method in a wide range of subject areas, such as mathematics, statistics, machine learning and engineering.
Algorithm
The MM algorithm works by finding a surrogate function that minorizes or majorizes the objective function. Optimizing the surrogate function will either improve the value of the objective function or leave it unchanged.
Taking the minorize-maximization version, let be the objective concave function to be maximized. At the step of the algorithm, , the constructed function will be called the minorized version of the objective function (the surrogate function) at if
Then, maximize instead of , and let
The above iterative method will guarantee that will converge to a local optimum or a saddle point as goes to infinity. By the above construction
The marching of and the surrogate functions relative to the objective function is shown in the figure.
Majorize-Minimization is the same procedure but with a convex objective to be minimised.
Constructing the surrogate function
One can use any inequality to construct the desired majorized/minorized version of the objective function. Typical choices include
Jensen's inequality
Convexity inequality
Cauchy–Schwarz inequality
Inequality of arithmetic and geometric means
Quadratic majorization/mininorization via second order Taylor expansion of twice-differentiable functions with bounded curvature.
References
Optimization algorithms and methods |
https://en.wikipedia.org/wiki/Approximate%20entropy | In statistics, an approximate entropy (ApEn) is a technique used to quantify the amount of regularity and the unpredictability of fluctuations over time-series data. For example, consider two series of data:
Series A: (0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, ...), which alternates 0 and 1.
Series B: (0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 1, ...), which has either a value of 0 or 1, chosen randomly, each with probability 1/2.
Moment statistics, such as mean and variance, will not distinguish between these two series. Nor will rank order statistics distinguish between these series. Yet series A is perfectly regular: knowing a term has the value of 1 enables one to predict with certainty that the next term will have the value of 0. In contrast, series B is randomly valued: knowing a term has the value of 1 gives no insight into what value the next term will have.
Regularity was originally measured by exact regularity statistics, which has mainly centered on various entropy measures.
However, accurate entropy calculation requires vast amounts of data, and the results will be greatly influenced by system noise, therefore it is not practical to apply these methods to experimental data. ApEn was developed by Steve M. Pincus to handle these limitations by modifying an exact regularity statistic, Kolmogorov–Sinai entropy. ApEn was initially developed to analyze medical data, such as heart rate, and later spread its applications in finance, physiology, human factors engineering, and climate sciences.
Algorithm
A comprehensive step-by-step tutorial with an explanation of the theoretical foundations of Approximate Entropy is available. The algorithm is:
Step 1 Assume a time series of data . These are raw data values from measurements equally spaced in time.
Step 2 Let be a positive integer, with , which represents the length of a run of data (essentially a window).Let be a positive real number, which specifies a filtering level.Let .
Step 3 Define for each where . In other words, is an -dimensional vector that contains the run of data starting with .Define the distance between two vectors and as the maximum of the distances between their respective components, given by
for .
Step 4 Define a count as
for each where . Note that since takes on all values between 1 and , the match will be counted when (i.e. when the test subsequence, , is matched against itself, ).
Step 5 Define
where is the natural logarithm, and for a fixed , , and as set in Step 2.
Step 6 Define approximate entropy () as
Parameter selection Typically, choose or , whereas depends greatly on the application.
An implementation on Physionet, which is based on Pincus, use instead of in Step 4. While a concern for artificially constructed examples, it is usually not a concern in practice.
Example
Consider a sequence of samples of heart rate equally spaced in time:
Note the sequence is periodic with a period of 3. Let's choose and (the v |
https://en.wikipedia.org/wiki/Attractor%20network | An attractor network is a type of recurrent dynamical network, that evolves toward a stable pattern over time. Nodes in the attractor network converge toward a pattern that may either be fixed-point (a single state), cyclic (with regularly recurring states), chaotic (locally but not globally unstable) or random (stochastic). Attractor networks have largely been used in computational neuroscience to model neuronal processes such as associative memory and motor behavior, as well as in biologically inspired methods of machine learning.
An attractor network contains a set of n nodes, which can be represented as vectors in a d-dimensional space where n>d. Over time, the network state tends toward one of a set of predefined states on a d-manifold; these are the attractors.
Overview
In attractor networks, an attractor (or attracting set) is a closed subset of states A toward which the system of nodes evolves. A stationary attractor is a state or sets of states where the global dynamics of the network stabilize. Cyclic attractors evolve the network toward a set of states in a limit cycle, which is repeatedly traversed. Chaotic attractors are non-repeating bounded attractors that are continuously traversed.
The network state space is the set of all possible node states. The attractor space is the set of nodes on the attractor.
Attractor networks are initialized based on the input pattern. The dimensionality of the input pattern may differ from the dimensionality of the network nodes. The trajectory of the network consists of the set of states along the evolution path as the network converges toward the attractor state. The basin of attraction is the set of states that results in movement towards a certain attractor.
Types
Various types of attractors may be used to model different types of network dynamics. While fixed-point attractor networks are the most common (originating from Hopfield networks), other types of networks are also examined.
Fixed point attractors
The fixed point attractor naturally follows from the Hopfield network. Conventionally, fixed points in this model represent encoded memories. These models have been used to explain associative memory, classification, and pattern completion. Hopfield nets contain an underlying energy function that allow the network to asymptotically approach a stationary state. One class of point attractor network is initialized with an input, after which the input is removed and the network moves toward a stable state. Another class of attractor network features predefined weights that are probed by different types of input. If this stable state is different during and after the input, it serves as a model of associative memory. However, if the states during and after input do not differ, the network can be used for pattern completion.
Other stationary attractors
Line attractors and plane attractors are used in the study of oculomotor control. These line attractors, or neural integrators, describe eye posi |
https://en.wikipedia.org/wiki/Automatic%20basis%20function%20construction | In machine learning, automatic basis function construction (or basis discovery) is the mathematical method of looking for a set of task-independent basis functions that map the state space to a lower-dimensional embedding, while still representing the value function accurately. Automatic basis construction is independent of prior knowledge of the domain, which allows it to perform well where expert-constructed basis functions are difficult or impossible to create.
Motivation
In reinforcement learning (RL), most real-world Markov Decision Process (MDP) problems have large or continuous state spaces, which typically require some sort of approximation to be represented efficiently.
Linear function approximators (LFAs) are widely adopted for their low theoretical complexity. Two sub-problems needs to be solved for better approximation: weight optimization and basis construction. To solve the second problem, one way is to design special basis functions. Those basis functions work well in specific tasks but are significantly restricted to domains. Thus constructing basis construction functions automatically is preferred for broader applications.
Problem definition
A Markov decision process with finite state space and fixed policy is defined with a 5-tuple , which includes the finite state space , the finite action space , the reward function , discount factor , and the transition model .
Bellman equation is defined as:
When the number of elements in is small, is usually maintained as tabular form. While grows too large for this kind of representation. is commonly being approximated via a linear combination of basis function , so that we have:
Here is a matrix in which every row contains a feature vector for corresponding row, is a weight vector with n parameters and usually .
Basis construction looks for ways to automatically construct better basis function which can represent the value function well.
A good construction method should have the following characteristics:
Small error bounds between the estimate and real value function
Form orthogonal basis in the value function space
Converge to stationary value function fast
Popular methods
Proto-value basis
In this approach, Mahadevan analyzes the connectivity graph between states to determine a set of basis functions.
The normalized graph Laplacian is defined as:
Here W is an adjacency matrix which represents the states of fixed policy MDP which forms an undirected graph (N,E). D is a diagonal matrix related to nodes' degrees.
In discrete state space, the adjacency matrix could be constructed by simply checking whether two states are connected, and D could be calculated by summing up every row of W. In continuous state space, we could take random walk Laplacian of W.
This spectral framework can be used for value function approximation (VFA). Given the fixed policy, the edge weights are determined by corresponding states' transition probability. To get smooth val |
https://en.wikipedia.org/wiki/Ecologists%20and%20Civic%20Networks | Ecologists and Civic Networks () was a green coalition of parties in Italy.
Modelled on the French Europe Ecology – The Greens, the coalition was launched in November 2011. Its core was composed by the Federation of the Greens. According to Angelo Bonelli, the Green leader of the time, the new political force would take inspiration also from the German Grünen and would be open to the contribution of movements and associations, notably including Beppe Grillo's Five Star Movement. Other than the Greens, participants of the new political force included, among others, Massimo Scalia (a former leading Green), Bruno Mellano (president of the Italian Radicals), movie maker Mario Monicelli, writer Dacia Maraini, geologist Mario Tozzi and comedian Giobbe Covatta.
The coalition was disbanded in May 2013, but some of its members joined the Greens. These included Covatta, who would go on to become spokesman of the party in November 2015, succeeding to Bonelli.
References
External links
Official website
Defunct political party alliances in Italy |
https://en.wikipedia.org/wiki/List%20of%20Netflix%20original%20programming | Netflix is an American global Internet streaming-on-demand media provider that has distributed a number of original streaming television shows, including original series, specials, miniseries, and documentaries and films. Netflix's original productions also include continuations of canceled series from other networks, as well as licensing or co-producing content from international broadcasters for exclusive broadcast in other territories, which is also branded in those regions as Netflix original content. Netflix previously produced content through Red Envelope Entertainment. The company has since increased its original content. All programming is in English unless stated otherwise, is organized by its primary genre or format, and is sorted by premiere date. These shows had their original production commissioned by Netflix, or had additional seasons commissioned by Netflix.
Drama
Comedy
Kids & family
Animation
Adult animation
Anime
Every show listed here is categorized as an anime by Netflix. However, some are considered to be only anime-influenced animation by the general interpretation of the expression.
Kids & family
Non-English language scripted
These shows are created by Netflix and are spoken entirely or almost entirely in a non-English language. Most have the option of watching with English subtitles and dub.
Arabic
French
German
Hindi
Italian
Japanese
Korean
Mandarin
Polish
Portuguese
Spanish
Swedish
Thai
Turkish
Other
Unscripted
Docuseries
Reality
Variety
Continuations
These shows have been picked up by Netflix for additional seasons after having aired previous seasons on another network.
Regional original programming
These shows are originals because Netflix commissioned or acquired them and had their premiere on the service, but they are not available in all Netflix territories.
Co-productions
These shows have been commissioned by Netflix in cooperation with a partner network.
Continuations
Upcoming original programming
The following projects have all received series orders from Netflix or are in development, but do not have a specific release date known at this time.
Drama
Comedy
Animation
Adult animation
Anime
Kids & family
Non-English language scripted
French
German
Italian
Japanese
Korean
Mandarin
Polish
Spanish
Turkish
Other
Unscripted
Docuseries
Reality
Co-productions
Continuations
Specials
Episodic
In development
Notes
References
External links
Netflix Originals current list on Netflix (based on geolocation)
Netflix
Netflix |
https://en.wikipedia.org/wiki/KGLH-LP | KGLH-LP (96.9 FM) is a radio station licensed to Spicer, Minnesota, United States. The station is currently owned by Hope Presbyterian Church and broadcasts religious programming including music as well as live broadcast of church services.
References
External links
Low-power FM radio stations in Minnesota
Christian radio stations in Minnesota |
https://en.wikipedia.org/wiki/FreedomPop | FreedomPop is a wireless Internet and mobile virtual network operator based in Los Angeles, California. The company provides "free" IP mobile services including free data, text and VoIP and sells mobile phones, tablets and broadband devices for use with their service. It was founded by CEO Stephen Stokols and Steven Sesar, and owned and operated by STS Media Inc until June 2019 when it was successfully sold. FreedomPop uses networks of T-Mobile and AT&T in the United States, Three in the UK, Yoigo in Spain, and Telcel in Mexico.
History
FreedomPop was co-founded by Stephen Stokols, CEO and Steven Sesar in 2011. Prior to founding FreedomPop, Stokols served as CEO of Woo Media, a video-chat and entertainment startup. FreedomPop partnered with LightSquared in December 2011, but ended its partnership after LightSquared did not receive Federal Communications Commission (FCC) approval to build out its network. FreedomPop began selling 4G only hotspots in October 2012. The company began offering mobile and wireless internet services in the United States using Clearwire's 4G network. FreedomPop converted 20% of its free user base to paid users in December 2012.
In July 2012, FreedomPop raised $7.5 million in a first round of funding led by Mangrove Capital and Doll Capital Management. In April 2013, FreedomPop partnered with Sprint to expand its coverage to include 3G and 4G with Sprint compatible devices. The company raised an additional $4.3 million in a Series A1 financing from Mangrove Capital and Doll Capital Management in July 2013. In October 2013, one year from its initial wireless broadband launch, FreedomPop launched its beta free mobile phone plan that included voice, text, and data service. In November FreedomPop launched a bring your own device for Sprint-compatible phones.
FreedomPop began supporting and selling Sprint-compatible iPhones in April 2014. The company also released an iOS app that offers voice, text and voicemail service to users within the United States. A month later, in May 2014, FreedomPop began supporting LTE Android smartphones. In July the company announced it would soon be offering SIM card-based plans in Belgium in partnership with Dutch carrier KPN. FreedomPop does not sell mobile devices outside of the United States. In July 2014, FreedomPop began offering its free 4G data, voice and text plans to tablet users, starting with the iPad Mini and the Samsung Tab 3. The free data, voice and text plan is offered to those purchasing a tablet through FreedomPop or other eligible bring your own device Sprint devices. In October 2014, FreedomPop announced its own branded-line of low-cost smartphones and tablets. The first release was a 7-inch Wi-Fi only tablet, the FreedomPop Liberty, which has free voice and SMS text messaging.
In June 2019, it was announced that the FreedomPop's remaining retail business and brand name had been sold to Red Pocket Mobile, alongside FreedomPop's GSMA customer base. Full terms of the deal |
https://en.wikipedia.org/wiki/DND%20%28video%20game%29 | DND is a role-playing video games developed by Purdue University student Daniel Lawrence in 1977 for the Digital Equipment Corporation (DEC) PDP-10 mainframe computer. The name DND is derived from the abbreviation "D&D" from the original tabletop role-playing game Dungeons & Dragons. It was later ported to several other computer systems and languages. After Lawrence re-used code from the game in the 1982 role-playing game Telengard, DEC ordered DND be removed from their computers to avoid litigation by Telengards publisher. DND was one of the earliest role-playing video games, as part of a set of games developed in the 1970s based on the 1974 Dungeons & Dragons.
Development
DND was written in BASIC for the TOPS-10 time-share operating system by Daniel Lawrence, a student at Purdue University, for the Digital Equipment Corporation PDP-10 mainframe computer and released around 1977. It was one of several freeware games based on Dungeons & Dragons in the 1970s. Later the game found its way to DEC and was there rewritten in 1983 to Pascal.
Legacy
DND was one of the earliest role-playing video games, which began to appear around 1975, and like DND were largely based on Dungeons & Dragons (1974). Lawrence re-used some of the code for the game for the 1982 role-playing game Telengard. This led to DEC ordering DND to be removed from all DEC computers in September 1983 to avoid litigation from Telengards publisher, Avalon Hill. Due to the BASIC source code availability, the game was later ported and adapted to newer systems and programming languages. One such port was to MS-DOS in 1984 by R.O. Software, which sold the game under a US$25 shareware license without first seeking permission from Avalon Hill or Lawrence.
References
External links
1977 video games
Dungeons & Dragons video games
Role-playing video games
Video games developed in the United States
Video games with available source code |
https://en.wikipedia.org/wiki/PlayStation%20Vita%20system%20software | The PlayStation Vita system software is the official firmware and operating system for the PlayStation Vita and PlayStation TV video game consoles. It uses the LiveArea as its graphical shell. The system is built on a Unix-base which is derived from FreeBSD and NetBSD.
Technology
User interface
The LiveArea is the name of the graphical user interface of the PlayStation Vita system software developed by Sony Computer Entertainment. The interface features a new touch-based screen and acts like a hub page and allows users to hop between different parts of the game space. The eighth-generation PlayStation Vita and PlayStation TV consoles use LiveArea as the graphical shell instead of the previous XrossMediaBar (XMB) interface, which was used by Sony's seventh-generation video game consoles such as PlayStation Portable and PlayStation 3. The PlayStation 4, Sony's eighth-generation home video game console however uses neither LiveArea nor XrossMediaBar as its graphical shell, but rather utilizes a user interface called PlayStation Dynamic Menu.
The PlayStation Vita system software uses LiveArea as its user interface, which includes various social networking features via the PlayStation Network (PSN). Users can select the icon for a game or an application on the home screen to open the LiveArea screen for that game or application in PlayStation Vita or PlayStation TV. As a new feature of PlayStation Vita and PlayStation TV's LiveArea, latest game information such as downloadable contents are shown on the LiveArea screen for that game. In addition, by scrolling down the game's LiveArea, the "Activity" of other users who are playing the same game can be checked instantly.
Cooperation with home consoles
The PlayStation Vita (and the PlayStation TV which uses the same system software as the PlayStation Vita) supports a feature called Remote Play with the PlayStation 3 and the PlayStation 4. It allows the PlayStation 3 and PlayStation 4 to transmit its video and audio output to a PlayStation Vita. However, unlike Remote Play between the PlayStation Vita and the PlayStation 4 which is well-integrated, Remote Play between the PlayStation Vita and the PlayStation 3 is only supported by a "select" few PS3 titles and results were often laggy. In a similar vein, the PlayStation Vita can be used as a second screen device for the PS4 (and for PS3, but only supported by very few games such as Class of Heroes 2G) for streaming content directly from the console to the PlayStation Vita.
Also, for users having both the PlayStation Vita and the PlayStation 3, it is possible to share media files videos, music and images between them by transferring multimedia files directly from the PlayStation Vita to the PlayStation 3, or vice versa. Updates of the PlayStation Vita system software can also be downloaded to PS Vita devices via a PS3 system. Furthermore, a service called Cross-Buy can be used which allows players to buy certain games that support this feature one time |
https://en.wikipedia.org/wiki/Jesse%20Robbins | Jesse Robbins is an American technology entrepreneur, investor, and firefighter notable for his pioneering work in Cloud computing, role in creating DevOps/Chaos Engineering, and efforts to improve emergency management.
Career
Robbins is a venture capital investor at "developer-focused" firm Heavybit, with notable investments in companies like PagerDuty, Snyk, and Tailscale.
Robbins worked at Amazon with his manager-approved title “Master of Disaster,” where he was responsible for website availability for every property bearing the Amazon brand. He created "GameDay", a project to increase reliability by purposefully creating major failures on a regular basis (a practice now called Chaos Engineering).
Robbins has said GameDay was inspired by his experience & training as a firefighter combined with lessons from other industries and research on complex systems, human cognitive stress models, reliability engineering, and normal accidents. Game day/Chaos Engineering and similar approaches are considered a best practice for large technology companies.
GameDay-like programs have been adopted by many other organizations, including Google, Netflix (called Chaos Monkey), Yahoo, Facebook, and many others.
After Amazon, Robbins founded the Velocity Conference to advance the field of Web Operations & DevOps with Tim O'Reilly. He also founded Chef, a pioneering cloud infrastructure automation company. Jesse Robbins was also an early investor in PagerDuty.
Robbins was recognized in 2011 with the Technology Review TR35 award for "transforming the way Web companies design and manage complex networks of servers and software" at Amazon.com, founding the Velocity Web Performance & Operations Conference, and founding Chef and serving as the first CEO.
Other work
Robbins founded Orion Labs, a technology startup which created a "Real-Life Star Trek Communicator".He says he "wanted to bring heads-up, real-time communication to everybody" to build "a world powered by voice".
Contributions to disaster response & humanitarian aid
Robbins volunteered as “Task Force Leader” in Hurricane Katrina. After he returned, he worked with Mikel Maron and OpenStreetMap on techniques and patterns to improve technology adoption in disaster response & humanitarian aid. These improvements were adopted by the United Nations Joint Logistics Centre in response to Cyclone Nargis in 2008 and are now widely adopted. One example was CrisisCommons in response to the 2010 Haiti earthquake.
Awards and recognition
2021 - Robbins named to The Seed 100: the Best Early-Stage Investors of 2021
2012 - Robbins was named as a Top 10 Cloud Computing Leader of 2012 by TechTarget
2011 - Robbins was selected by MIT Technology Review magazine as one of the top "35 under 35" TR35 innovators in for "transforming the way Web companies design and manage complex networks of servers and software" while building fault-tolerant online infrastructure at Amazon.com and at Chef.
2010 - Robbins was select |
https://en.wikipedia.org/wiki/Yossi%20Matias | Yossi Matias is an Israeli-American computer scientist, entrepreneur and Google executive.
Matias is Vice President, Engineering & Research at Google, and the founding managing director of Google's Center in Israel. He is on the leadership team of Google's Research, the global exec lead overseeing Google’s Health AI, Crisis Response and Climate AI efforts, and leads efforts in Conversational AI. For over a decade he was on the leadership team of Google’s Search, building and leading efforts including Google Trends, Google Autocomplete, Search Console, and Search experiences in weather, sports, dictionaries and more.
Matias established the Research and Development Center of Google in Israel. growing it to over 2000 on staff, with efforts working on Search, AI, Waze, Cloud and Chip design. He led the development of Google products such as Google Trends, Google Insights for Search, Google Suggest, Google Visualization API, Ephemeral IDs for IoT.
He is leading efforts in Conversational AI including Google Duplex,
Call Screen, Live Caption, Live Relay, Recorder, and Euphonia.
He pioneered an initiative to bring cultural and heritage collections online, such as the Yad Vashem Holocaust Memorial Museum archive, the Dead Sea Scrolls., and the Nelson Mandela Archive, which along with Google Art Project seeded up Google Cultural Institute.
He is leading a global initiative for Crisis Response and Flood Forecasting.
Matias is the executive lead and founder of Google's Campus Tel Aviv, a technology hub for promoting innovation and entrepreneurship and birthplace of programs such as Campus for Moms and LaunchPad, which has evolved into Launchpad Accelerator, and LaunchPad Studio for AI & ML focused startups. He is a founding lead of Google's AI for Social Good initiative.
Prof. Matias is on the computer science faculty at Tel Aviv University, and previously a research scientist at Bell Labs and a visiting professor at Stanford. He published extensively in the areas of data analysis, algorithms for massive data sets, data streams and synopses, parallel algorithms and systems, data compression, data and information management systems, security and privacy, video processing, and Internet technologies. He is the inventor of over 60 patents. He pioneered some of the early technologies for the effective analysis of big data, internet privacy and contextual search.
Matias is a recipient of Gödel Prize, an ACM Fellow and a recipient of Paris Kanellakis Theory and Practice Award for seminal work on the foundations of streaming algorithms and their application to large scale data analytics.
References
External links
Fastcompany.com
Sites.google.com
Sites.google.com - Biography
Year of birth missing (living people)
Living people
Israeli computer scientists
American computer scientists
Theoretical computer scientists
Academic staff of Tel Aviv University
Database researchers
Google employees
Fellows of the Association for Computing Machinery
Gödel Prize |
https://en.wikipedia.org/wiki/Tachyon%20%28software%29 | Tachyon is a parallel/multiprocessor ray tracing software. It is a parallel ray tracing library for use on distributed memory parallel computers, shared memory computers, and clusters of workstations. Tachyon implements rendering features such as ambient occlusion lighting, depth-of-field focal blur, shadows, reflections, and others. It was originally developed for the Intel iPSC/860 by John Stone for his M.S. thesis at University of Missouri-Rolla. Tachyon subsequently became a more functional and complete ray tracing engine, and it is now incorporated into a number of other open source software packages such as VMD, and SageMath. Tachyon is released under a permissive license (included in the tarball).
Evolution and Features
Tachyon was originally developed for the Intel iPSC/860, a distributed memory parallel computer based on a hypercube interconnect topology based on the Intel i860, an early RISC CPU with VLIW architecture and . Tachyon was originally written using Intel's proprietary NX message passing interface for the iPSC series, but it was ported to the earliest versions of MPI shortly thereafter in 1995. Tachyon was adapted to run on the Intel Paragon platform using the Paragon XP/S 150 MP at Oak Ridge National Laboratory. The ORNL XP/S 150 MP was the first platform Tachyon supported that combined both large-scale distributed memory message passing among nodes, and shared memory multithreading within nodes. Adaptation of Tachyon to a variety of conventional Unix-based workstation platforms and early clusters followed, including porting to the IBM SP2. Tachyon was incorporated into the PARAFLOW CFD code to allow in-situ volume visualization of supersonic combustor flows performed on the Paragon XP/S at NASA Langley Research Center, providing a significant performance gain over conventional post-processing visualization approaches that had been used previously. Beginning in 1999, support for Tachyon was incorporated into the molecular graphics program VMD, and this began an ongoing period co-development of Tachyon and VMD where many new Tachyon features were added specifically for molecular graphics. Tachyon was used to render the winning image illustration category for the NSF 2004 Visualization Challenge. In 2007, Tachyon added support for ambient occlusion lighting, which was one of the features that made it increasingly popular for molecular visualization in conjunction with VMD. VMD and Tachyon were gradually adapted to support routine visualization and analysis tasks on clusters, and later for large petascale supercomputers. Tachyon was used to produce figures, movies, and the Nature cover image of the atomic structure of the HIV-1 capsid solved by Zhao et al. in 2013, on the Blue Waters petascale supercomputer at NCSA, U. Illinois. Both CPU and GPU versions of Tachyon were used to render images of the SARS-CoV-2 virion, spike protein, and aerosolized virion in three separate ACM Gordon Bell COVID-19 research projec |
https://en.wikipedia.org/wiki/Kapatid%20Channel | Kapatid Channel (stylized as Kapatid) is an international Philippine subscription television channel owned by Pilipinas Global Network, Ltd. The channel offers programming highlights from the Philippine television channels TV5, One Sports, Sari-Sari Channel, Colours, One News, One Sports+, One PH, BuKo, PBA Rush and UAAP Varsity Channel.
Programming
Note: Program titles are listed in alphabetical order followed by the year it debuted in parentheses. Programs are aired on all Kapatid Channel feeds except when noted.
Current programming
TV5
Newscast
Frontline Pilipinas
Frontline Tonight
Gud Morning Kapatid
News5 Alert
Series
Kurdapya
Niña Niño
The Rain In España
Team A: Happy Fam, Happy Life
Suntok sa Buwan
Game
Emojination
Variety
E.A.T.
Comedy
Jack and Jill Sa Diamond Hills
Talk
Face 2 Face
BuKo
Travel
Kusina ni Mamang
#MaineGoals
Sari-Sari Channel
Drama
Kagat ng Dilim
One PH/One News
Public affairs
Agenda with Cito Beltran
The Chiefs
Infotainment
40 is the New 30
At Your Home with Anthony and Maricel
One Sports
2022–23 PBA season
Maharlika Pilipinas Basketball League
International programs
Makilala TV
Religious
Word of God Network
Notes
See also
TV5 Network
TV5
AksyonTV International
The Filipino Channel
GMA Pinoy TV
References
External links
KapatidTV site
International broadcasters
Television networks in the United States
TV5 Network channels
Filipino diaspora
Filipino-language television stations
Television channels and stations established in 2011
2011 establishments in the Philippines |
https://en.wikipedia.org/wiki/Selkirk%20and%20Galashiels%20Railway | The Selkirk and Galashiels Railway was a railway company that built a branch line connecting Selkirk, Scottish Borders, with the mainline network at Galashiels. The line opened in 1856 and was well used in the period down to 1914. Road transport from about 1923 became a serious competitor and the usage of the line declined steeply. Economy measures did little to retrieve the situation and the passenger service was withdrawn in 1951. Goods traffic continued for a period, but in 1964 that too was withdrawn. There is no railway use of the line now.
History
Over many centuries the towns in the Borders had developed skills in manufacturing high-quality woollen goods, deriving originally from the abundant fellside grassland and equally abundant pure water. The intrinsic disadvantage of their location was the difficulty and expense of transporting the finished products to the market.
The North British Railway obtained Parliamentary authorisation for its mainline from Edinburgh to Berwick in 1844 and opened that line in 1846. Already in 1845 with the first line under construction, the North British was planning a long branch line to Hawick, and it obtained an Act for the purpose. The NBR's purpose was to secure as much territory for itself as possible, and to connect beyond to Carlisle, giving access to the emerging West Coast route from London as well as the East Coast. At first, this strategic objective was not advertised, and in any case Hawick as a major wool making town was a valid destination. On 9 February 1846 the North British Railway held a shareholders' meeting at which approval was given for the NBR to construct a branch line to Selkirk, but this was never carried into effect; by October 1847 shareholder discomfort with the extent of financial commitments being taken on, had reached an unbearable level.
The Hawick line and its extension to Carlisle became the Waverley Route, and its completion encouraged ideas of connecting other Borders towns by branch lines or otherwise. Hawick was reached on 1 November 1849, and the line passed through Galashiels.
Selkirk lay about from Galashiels, and as well as woollen goods it had an important shoemaking industry. The independent Selkirk and Galashiels Railway was incorporated on 31 July 1854, with authorised capital of £24,000. The promoters secured agreement with the North British Railway that the NBR would work the line; the terms were for 50% of receipts up to £3,000 a year and 45% above that.
Subscriptions for shares had to be secured, and work on building the line did not start until the following year. Captain Tyler, Inspecting Officer of the Board of Trade, visited the line on 3 April 1856. He approved the line for passenger operation, but he was critical of the poor quality of the line: he reported that, "The permanent way is of a light description and the joints of the rails are not fished. The gradients are severe and the curves sharp, and altogether the line is not fitted for heavy t |
https://en.wikipedia.org/wiki/Semantic%20compression | In natural language processing, semantic compression is a process of compacting a lexicon used to build
a textual document (or a set of documents) by reducing language heterogeneity, while maintaining text semantics.
As a result, the same ideas can be represented using a smaller set of words.
In most applications, semantic compression is a lossy compression, that is, increased prolixity does not compensate for the lexical compression, and an original document cannot be reconstructed in a reverse process.
By generalization
Semantic compression is basically achieved in two steps, using frequency dictionaries and semantic network:
determining cumulated term frequencies to identify target lexicon,
replacing less frequent terms with their hypernyms (generalization) from target lexicon.
Step 1 requires assembling word frequencies and
information on semantic relationships, specifically hyponymy. Moving upwards in word hierarchy,
a cumulative concept frequency is calculating by adding a sum of hyponyms' frequencies to frequency of their hypernym:
where is a hypernym of .
Then, a desired number of words with top cumulated frequencies are chosen to build a targed lexicon.
In the second step, compression mapping rules are defined for the remaining words, in order to handle every occurrence
of a less frequent hyponym as its hypernym in output text.
Example
The below fragment of text has been processed by the semantic compression. Words in bold have been replaced by their hypernyms.
They are both nest building social insects, but paper wasps and honey bees organize their colonies
in very different ways. In a new study, researchers report that despite their differences, these insects
rely on the same network of genes to guide their social behavior.The study appears in the Proceedings of the
Royal Society B: Biological Sciences. Honey bees and paper wasps are separated by more than 100 million years of
evolution, and there are striking differences in how they divvy up the work of maintaining a colony.
The procedure outputs the following text:
They are both facility building insect, but insects and honey insects arrange their biological groups
in very different structure. In a new study, researchers report that despite their difference of opinions, these insects
act the same network of genes to steer their party demeanor. The study appears in the proceeding of the
institution bacteria Biological Sciences. Honey insects and insect are separated by more than hundred million years of
organic processes, and there are impinging differences of opinions in how they divvy up the work of affirming a biological group.
Implicit semantic compression
A natural tendency to keep natural language expressions concise can be perceived as a form of implicit semantic compression, by omitting unmeaningful words or redundant meaningful words (especially to avoid pleonasms).
Applications and advantages
In the vector space model, compacting a lexicon leads t |
https://en.wikipedia.org/wiki/The%20Buster%20Keaton%20Show | The Buster Keaton Show was a television series broadcast in 1950 starring Buster Keaton. It was broadcast over KTTV, which at the time was the Los Angeles affiliate of CBS (the network would start KNXT in 1951).
In 1949, comedian Ed Wynn invited Keaton to appear on his CBS Television comedy-variety show, The Ed Wynn Show, which was televised live on the West Coast. Kinescopes were made for distribution of the programs to other parts of the country, since there was no transcontinental coaxial cable until September 1951. Reaction was strong enough for a local Los Angeles station to offer Keaton his own show, also broadcast live, in 1950.
The Buster Keaton Comedy Show was Keaton's second foray into the new medium of television. It followed the 1949 one-off. Broadcast live, no record of that first program remains and it was not seen by viewers outside California, as it was not filmed in kinescope nor was there a coaxial cable linking the coasts at that time.
Life with Buster Keaton (Date unknown, probably 1950 or 1951) was an attempt to recreate the first series on film, allowing the program to be broadcast nationwide. The series benefited from a company of veteran actors, including Marcia Mae Jones as the ingenue, Iris Adrian, Dick Wessel, Fuzzy Knight, Dub Taylor, Philip Van Zandt, and his silent-era contemporaries Harold Goodwin, Hank Mann, and stuntman Harvey Parry. Buster Keaton's wife Eleanor also was seen in the series (notably as Juliet to Buster's Romeo in a little-theater vignette). Keaton said that he canceled the filmed series himself, because he was unable to create enough fresh material to produce a new show each week. Several episodes from the show were assembled into a feature-length film that was released theatrically in the United Kingdom as The Misadventures of Buster Keaton.
Lack of information
Unfortunately, there is a lack of information on this show or shows. It is unknown how many TV shows Buster Keaton starred in, how many episodes were released, what those episodes were called, what episode number they were, what year episodes were released in, etc. The most information we have is that there is a handful of available episodes from probably more than one show and a movie made which compiles footage from at least three episodes. These episodes have had several different titles attributed to them. It is entirely possible that information on The Buster Keaton Show, The Buster Keaton Comedy Show, and Life with Buster Keaton is falsely attributed to one show when it correctly is about another. The Buster Keaton Comedy Show especially lacks knowledge. Some sources have listed Life with Buster Keaton as having started airing in 1951, however, The Misadventures of Buster Keaton is known to have been released in 1950. It is possible that the footage was derived from then unaired episodes, but this is unconfirmed.
An episode of The Buster Keaton Show, and three episodes of Life with Buster Keaton can be viewed on the Internet Arch |
https://en.wikipedia.org/wiki/List%20of%20programs%20broadcast%20by%20FX%20%28Canadian%20TV%20channel%29 | This is a list of programs broadcast by FX as of July 2022.
Current programming
Acquired from FX Networks
American Crime Story
American Horror Story
Atlanta
Breeders
It's Always Sunny in Philadelphia (shared with FXX)
The Old Man
Mayans M.C.
Snowfall
What We Do in the Shadows
Other acquired shows
Chicago Fire
Chicago Med
Chicago P.D.
The Good Doctor
Hudson & Rex
Law & Order
Law & Order: Organized Crime
Law & Order: Special Victims Unit
The Resident
Former programming
Shows listed in bold are sourced from FX Networks and FX on Hulu.
2 Broke Girls
30 Rock
A Teacher
All My Children
American Dad!
The Americans
The Beat (Canadian TV series)
Between
Better Things
Bob's Burgers
The Booth at the End
Brand X with Russell Brand
The Bridge
Brooklyn Nine-Nine
Crusoe
Da Vinci's Inquest
Da Vinci's City Hall
Departures
Devs
Ed's Up
Empire
EP Daily
Family Guy
Fargo
Feud
Fringe
Glenn Martin, DDS
Hockey Night in Canada (overflow)
House
How I Met Your Mother
Intelligence
The League
Legion
Lights Out
Louie
Married
Metropia
Mr. Inbetween
Mrs. America
Murdoch Mysteries
The Office (U.S. TV series)
One Life to Live
Parks and Recreation
Package Deal
Pose
Reviews on the Run
Seed
Sex & Drugs & Rock & Roll
Sons of Anarchy
Sunnyside
Taboo
Terriers
Totally Biased with W. Kamau Bell
The Listener
The Simpsons
The Strain
The Tunnel
Two and a Half Men
Tyrant
The Ultimate Fighter: Live
Unsupervised
Wilfred
Woke
Y: The Last Man
See also
FX Canada
FX
FX Australia
Fox
Fox International Channels
References
External links
FXNOW Canada
FX Canada |
https://en.wikipedia.org/wiki/Young%20Slave | The Young Slave (Italian: Schiavo giovane) is a marble sculpture of Michelangelo, datable to around 1525–1530 which is conserved in the Galleria dell'Accademia in Florence. It is part of the "unfinished" series of Prigioni intended for the Tomb of Julius II.
History
It seems that from the first version of the tomb of Julius II (1505) a series of "Prigioni" was planned for the lowest level of the mausoleum – a series of more-than-life-size statues of chained figures in various poses, leaning on the pilasters which framed a set of niches, each of which would contain a "winged Victory". With one on each side of each niche, it must have been initially intended for there to be sixteen or twenty Prigioni. In the course of the reductions of the project which followed, this was reduced to twelve (second project, 1513), eight (third project, 1516) and finally perhaps a mere four (fourth or fifth version, 1526 or 1532), before they were completely eliminated from the project in 1542. According to de Tolnay (1951, 1954) the Young Slave was intended for the space left of the central niche in the project of 1516.
The first examples of the series are the two Prigioni of Paris, which are mentioned in Michelangelo's letters and were named the "Slaves" (Schiavi) in the 19th century: the Dying Slave and the Rebellious Slave. They were sculpted in Rome around 1513.
The Florentine Prigioni (The Young Slave, the Bearded Slave, the Atlas Slave, and the Awakening Slave) were probably sculpted in the latter half of the 1520s, when Michelangelo was employed at San Lorenzo in Florence (but historians have suggested dates between 1519 and 1534). They are known to have been in the artist's store on the via Mozza until 1544, when Michelangelo's nephew, Leonardo Buonarroti, asked for permission to sell them (Michelangelo did not set foot in Florence after 1534). This permission was denied and it was only in 1564 that they were sold, along with The Genius of Victory to the Grand Duke Cosimo I, who placed them in the four corners of the Grotto of Buontalenti before 1591. They were removed from there in 1908 to join the Michelangelo collection which had been formed in the Florentine gallery.
Regarding the date of their creation, Justi (and others) have proposed 1519 on the basis of a letter of 13 February in which Jacopo Salviati assured the cardinal Aginesis, heir of Pope Julius II that the sculptor would have produced four figures for the tomb before the summer of that year. Wilde proposed 1523, because there is a reference to the cardinal Giulio de' Medici (the future Clement VII) having seen them before he left for Rome on that date. However de Tolnay dated them to 1530–1534, based on stylistic factors, the frequent mentions of unfinished sculptures for the tomb of Pope Julius in Michelangelo's letters of 1531–1532 and because Vasari mentions that they were made while Michelangelo prepared the cartoon of The Last Judgment.
A wax bozzetto of the work at the Victoria and |
https://en.wikipedia.org/wiki/Bearded%20Slave | The Bearded Slave (Italian: Schiavo barbuto) is a marble sculpture by Michelangelo datable to around 1525–1530 and kept in the Galleria dell'Accademia in Florence. It forms part of the series of unfinished Prigioni intended for the Tomb of Pope Julius II.
History
It seems that, from the first design of the Tomb of Pope Julius II (1505), a series of "Prigioni" was planned for the bottom level of the mausoleum, a series of statues larger than life size of chained figures in various poses, leaning on pilasters which would frame niches containing winged Victories and be surmounted by herms. With a pair on each side of each niche, there must initially have been sixteen or twenty such statues planned. This number was reduced in successive designs, to twelve (second version, 1513), eight (third version, 1516) and finally maybe only four (fourth version, 1526, or fifth version, 1532), before being eliminated from the project altogether in the final version of 1542.
The first members of the series, who are mentioned in Michelangelo's letters are the two Prigioni of Paris, named the "Slaves" in the nineteenth century: the Dying Slave and the Rebellious Slave. They were carved in Rome around 1513.
The Florentine Prigioni (Young Slave, Bearded Slave, Atlas Slave and the Awakening Slave) were probably carved instead in the second half of the 1520s, while Michelangelo was employed at San Lorenzo in Florence (but historians suggest dates between 1519 and 1534). It is known that they were in the artist's warehouse on the via Mozza in 1544, when his nephew Leonardo Buonarroti asked permission to sell them (Michelangelo did not visit Florence after 1534). The permission was denied and only in 1564 were they donated, along with the Genius of Victory, to the Grand Duke Cosimo I who placed them at the four corners of the Grotto of Buontalenti in 1591. They were removed from there in 1908, in order to be reunited with other works of Michelangelo in the Florentine gallery.
With respect to the exact date, Justi (and others) propose 1519, on the basis of a letter of 13 February, in which Jacopo Salviati promised the cardinal Aginesis, Julius II's heir, that the sculptor would have the four figures for the tomb ready by the summer of that year; Wilde proposes 1523, pointing to a statement of the cardinal Giulio de' Medici (the future Clement VII) who had seen them before he departed for Rome in that year; finally de Tolnay dates them to 1530–1534 on the basis on their style, frequent references to incomplete sculptures for the pope's tomb in letters of 1531–2 and Vasari's statement that they were created while the artist was preparing the cartoon of The Last Judgment.
Description and style
The Bearded Slave is the most finished of the Florentine Prigioni and gets his name from his thick, curly beard. The way his muscular torso twists indicates a deep knowledge of anatomy, typical of the best works of Michelangelo; his legs, slightly bent and separated, are covered |
https://en.wikipedia.org/wiki/MyBB | MyBB, formerly MyBBoard and originally MyBulletinBoard, is a free and open-source forum software developed by the MyBB Group. It is written in PHP, supports MySQL, PostgreSQL and SQLite as database systems and, in addition, has database failover support. It is available in multiple languages and is licensed under the LGPL. The software allows users to facilitate community driven interaction through a MyBB instance.
History and development
MyBB 1.0 and 1.1
Founded as DevBB in 2002 by Chris Boulton from a fork of XMB, the first public release (RC1) of MyBB was published on 10 December 2003. It wasn't until two years later, on 9 December 2005, that MyBB 1.0 was released.
On 9 March 2006, version 1.1 was released. The last version of this series was 1.1.8, a security update released on 20 August 2006.
MyBB 1.2
On 2 September 2006, with a revised and rewritten code base and over 40 new features, MyBB 1.2 was released. Support for the 1.2 series officially ended on 1 June 2009, although security updates were available until 31 December 2009.
The final version of the 1.2 series, 1.2.14, was a security and maintenance update published on 17 July 2008. Several security patches were available in consequent security updates for users still using the 1.2 series.
MyBB 1.4
After a long beta phase MyBB 1.4 was released on 2 August 2008 complete with over 70 new features, including a completely revised and redesigned Administration Control Panel (ACP).
On 12 October 2008, MyBB 1.4.2 was released. This version changed MyBB's license from proprietary to GNU GPL v3. The change in license was driven from a request from KDE who, in a related announcement, launched their first web-based community using MyBB as an alternative to a mailinglist.
On 2 May 2009, due to time constraints, founder Chris Boulton left the day-to-day responsibilities to Dennis Tsang (previously the Support Team Manager) who took over as Product Manager of MyBB. Matt Rogowski would later take over Dennis' responsibilities as Support Team Manager.
So far, much of MyBB's development happened internally on a closed cycle. After switching to an open source license, on 19 August 2009, the MyBB Group opened development access so that users had access to the official bugtracker and read access to the subversion repository.
The final version in the 1.4 series was 1.4.16, released as a security update on 17 April 2011. Support for the series ended on 1 July 2011 for both maintenance and security releases.
MyBB 1.6
On 3 August 2010, on the two year anniversary of MyBB 1.4's release, MyBB 1.6 was released with over 40 new features and included many tweaks, fixes and performance optimizations. The 1.6 series is distributed under the GNU LGPL v3 and requires at least PHP 5.1.
During the 1.6 series, several senior members of the MyBB Group changed positions. On 3 October 2010, Tim Bell was promoted to Product Manager with responsibilities of running the day-to-day operations of MyBB as well as the |
https://en.wikipedia.org/wiki/Color%20Labs | Color Labs, Inc. was a start-up based in Palo Alto, California, US. Its main product was the eponymous mobile app for sharing photos through social networking. It allowed people to take photos in addition to viewing other photos also taken in the vicinity. The application grouped photos based on a user's friends so that he or she is more likely to see more relevant ones.
Following skepticism and rumors from Silicon Valley commentators, Color Labs stopped selling the app at the end of 2012.
Launch
The group started when co-founders Bill Nguyen and Peter Pham received $41 million in funding. Color was named as a tribute to Apple's color logo from the Apple II. Nguyen described the Apple II as having changed his life when he was seven. The domain name Color.com was bought in December 2010 for $350,000.
In 2010–2011, Color closed $25 million in funding from Sequoia Capital, $9 million from Bain Capital, and $7 million in venture debt from Silicon Valley Bank. In September 2011, Douglas Leone revealed that Sequoia Capital only invested three days before the scheduled launch of Color.
On March 24, 2011, Color launched its eponymous mobile app in iOS App Store. A week after the launch, Color Labs released an update with significant changes to the iOS App interface—allowing users to see photos from events "Nearby", a "Feed" of relevant photos, and a "History" of groups that users can participate in. Words underneath each icon explaining what they did were also added.
In July 2011, it was reported that Google offered to buy Color for $200 million before their first launch, but Color Labs turned down the deal.
Controversy and demise
When it launched, the application had around 1 million downloads. By September 2011, the service had a little under 100,000 active users. In June 2011, less than three months after the company officially launched, Pham left Color, followed quickly by Chief Product Officer DJ Patil.
In the weeks following Color's initial launch, controversy surrounded the startup's $41 million funding and mixed reviews on the product. The initial launch confused users with the application's interface and purpose. Its initial rating in the App Store was 2 out of 5 stars. In an interview with Robert Scoble in April 2011, Pham and Nguyen admitted that Color's launch was a wasted opportunity, sharing: "We threw out a network you don’t know how to get good at…We threw a mountain at people."
In October 2012, media reports indicated that Color's board of directors had voted to shut down the company. Other sources denied that the company was shutting down but suggested that it was possibly preparing to be acquired by another company or for another major transformative event. Reports included that the staff would be sold to Apple for $2 to $7 million. In November, Color Labs announced that the app would be shut down at the end of 2012.
References
External links
Image-sharing websites
Defunct social networking services
IOS software
Andro |
https://en.wikipedia.org/wiki/HT%20Omega | HT Omega is an audio hardware manufacturing company based in Ontario, California. It designs and builds multimedia hardware and peripherals for personal computer and professional markets. HT Omega has a dedicated research & development division, creating equipment based on Dolby Digital and DTS technologies, marketed towards gamers and home entertainment enthusiasts.
Product line
HT Omega was one of the first companies to offer true 24-bit (192 kHz) performance in its sound cards, by implementing the C-Media Oxygen 8788 digital signal processor. Some cards have swappable op-amps.
HT Omega's line of PC audio cards includes the following:
STRIKER 7.1 (Conventional PCI)
CLARO, CLARO plus + (PCI)
eCLARO (PCI Express)
CLARO halo, halo XT (PCI)
Fenix (PCI Express)
References
External links
www.htomega.com: HT Omega company website. Retrieved 17 December 2011.
Audio equipment manufacturers of the United States
Manufacturing companies based in California |
https://en.wikipedia.org/wiki/United%20States%20v.%20LaMacchia | United States v. LaMacchia 871 F.Supp. 535 (D.Mass. 1994) was a case decided by the United States District Court for the District of Massachusetts which ruled that, under the copyright and cybercrime laws effective at the time, committing copyright infringement for non-commercial motives could not be prosecuted under criminal copyright law.
The ruling gave rise to what became known as the LaMacchia Loophole which is that criminal charges of fraud or copyright infringement would be dismissed under current legal standards, so long as there was no profit motive involved. The court's ruling explicitly drew attention to a perceived shortcoming of the law that there was no criminal liability under the Copyright Act for even large-scale non-commercial copyright infringement. The NET Act, passed in 1997, was a direct response to the LaMacchia Loophole. The law provides for criminal prosecution of individuals who engage in copyright infringement even when there is no commercial benefit from the infringement.
Facts
The defendant in the case was David LaMacchia, a 21-year-old student at the Massachusetts Institute of Technology at that time. Under pseudonyms and using an encrypted address, LaMacchia set up an electronic bulletin board which he dubbed Cynosure. He then encouraged people to upload copyrighted software applications and computer games to the board, which he subsequently transferred to another encrypted address called Cynosure II, where the software could be accessed and downloaded freely by anyone with access to the Cynosure password. LaMacchia encouraged his correspondents to exercise caution when accessing the site, but despite his best efforts to avoid detection, the heavy traffic to his site drew the attention of university and government authorities.
Indictment and motion to dismiss
On April 7, 1994, LaMacchia was indicted by a federal grand jury for "conspiring with unknown people" to violate 18 U.S.C. Sec. 1343, the wire fraud statute. The indictment held that LaMacchia had devised a scheme to defraud the software manufacturers and copyright owners whose software had been distributed on Cynosure without paying proper licensing fees and royalties, thereby causing losses totaling over one million USD. There was no allegation that LaMacchia had derived any personal profit from the scheme, which is why the indictment was not made on grounds of copyright infringement.
In response to the indictment, LaMacchia brought a motion to dismiss on September 30, 1994, under the argument that the government was misapplying the wire fraud statute and attempting to use it as a copyright enforcement tool. LaMacchia made reference to Dowling v. United States, 473 U.S. 207 (1985) in his motion, arguing that the case held that "copyright prosecutions for alleged copyright infringement must be brought, if at all, under the Copyright Act, and cannot be brought under statutes enacted by Congress to prohibit interstate theft and fraud". The reasoning in Dow |
https://en.wikipedia.org/wiki/List%20of%20data-erasing%20software | This is a list of utilities for performing data erasure.
References
See also
List of data recovery software
Computer security software
Lists of software |
https://en.wikipedia.org/wiki/Weeds%20%28season%208%29 | The eighth and final season of Weeds premiered on July 1, 2012, on the television cable network Showtime, and featured 13 episodes, bringing the series total to 102. It marks the return of the show's theme song, "Little Boxes". Creator Jenji Kohan revealed that cover versions of the song would be used during the opening credits (as during past seasons) and confirmed that Ben Folds and the Mountain Goats would be featured artists. Kohan also confirmed that the song would be covered in a duet by Steve Martin and series regular Kevin Nealon, who each sang and played the banjo. Series co-star Hunter Parrish also provided a cover version for the season's tenth episode. The final two episodes of the season aired back to back as a one-hour series finale, which was the series' first and only one-hour show in its eight-year run.
Plot
Season eight picks up where season seven ended — the family is eating dinner when a concealed sniper targets Nancy through a rifle scope and fires a shot. Nancy, shot in the head, is rushed to the hospital. While she is still unconscious, the shooter, Tim Scottson, son of her late second husband, DEA agent Peter Scottson, visits her. Shane, first a member of the police academy and later an officer, arrests him with his police squad. Nancy's estranged sister Jill sleeps with both Nancy's brother-in-law Andy and Doug. Subsequently, Jill claims to be pregnant but lies and is really going through menopause.
Nancy begins working as a representative at a pharmaceutical company which legally produces medical marijuana for people diagnosed with cancer undergoing radiation therapy. Silas also gets a job growing marijuana at the same company as Nancy.
After Silas starts working at the pharmaceutical company, he finds himself not too pleased with the process his plants have to go through after they are selected. This leads him to contemplate what marijuana really means to him.
After much debate and deliberation, Nancy and Silas realize the industry in which they belong. This realization has them back in Regrestic (formerly Agrestic and Majestic, where the story began). Teaming up with past friends (and enemies) Nancy develops a scheme.
The series finale jumps several years into the future and shows how the lives of the characters have progressed. Marijuana was legalized at an unspecified time during the time jump and as a result the Botwins are running several successful marijuana businesses. Per usual, the series gives a slightly dark twist on the present lives of the characters. Nancy regrets her past, but knows there is nothing she can do to change it. Doug on the other hand, wants to reconcile his past mistakes. In the end, the main characters are huddled together, pondering and reflecting, while enjoying the product that has often caused them so much turmoil and yet made them closer and more appreciative of the unique bond they share.
Cast
Main cast
Mary-Louise Parker as Nancy Botwin (13 episodes)
Hunter Parrish as |
https://en.wikipedia.org/wiki/List%20of%20Storage%20Wars%20episodes | This is a list of Storage Wars episodes that have aired on the A&E network over the course of its run. A 14th season premiered on November 2, 2021.
Series overview
Episodes list
Season 1 (2010–2011)
Season 2 (2011–2012)
Season 3 (2012–2013)
Season 4 (2013)
Season 5 (2014)
Season 6 (2014–2015)
Season 7 (2015)
Auctioneers: Dan & Laura Dotson
Buyers: Dave Hester, Jarrod Schulz & Brandi Passante, Darrell & Brandon Sheets, Rene & Casey Nezhoda, Ivy Calvin, and Mary Padian
Season 8 (2015)
Auctioneers: Dan & Laura Dotson
Buyers: Dave Hester, Jarrod Schulz & Brandi Passante, Darrell & Brandon Sheets, Rene & Casey Nezhoda, Ivy Calvin, and Mary Padian
Season 9 (2016)
Auctioneers: Dan & Laura Dotson
Buyers: Dave Hester, Jarrod Schulz & Brandi Passante, Darrell & Brandon Sheets, Rene & Casey Nezhoda, Ivy Calvin, and Mary Padian
Season 10 (2017)
Auctioneers: Dan & Laura Dotson, Emily Wears
Buyers: Dave Hester, Jarrod Schulz & Brandi Passante, Darrell & Chad Sheets, Rene & Casey Nezhoda, Ivy Calvin, Mary Padian, and Kenny Crossley
Season 11 (2017–2018)
Auctioneers: Dan & Laura Dotson, Emily Wears
Buyers: Dave Hester, Jarrod Schulz & Brandi Passante, Darrell & Chad Sheets, Rene & Casey Nezhoda, Ivy Calvin, Mary Padian, Kenny Crossley, Shana Dahan & Edwina Registre, and Justin Bryant
Season 12 (2018–2019)
Auctioneers: Dan & Laura Dotson, Emily Wears
Buyers: Dave Hester, Jarrod Schulz & Brandi Passante, Darrell & Chad Sheets, Rene & Casey Nezhoda, Ivy Calvin, Mary Padian, Kenny Crossley, Shana Dahan & Edwina Registre, and Justin Bryant
Season 13 (2021)
Auctioneers: Dan & Laura Dotson
Buyers: Jarrod Schulz, Brandi Passante, Darrell Sheets, Rene & Casey Nezhoda, Ivy Calvin, Kenny Crossley, Lisa Delarios
Season 14 (2021–2022)
Auctioneers: Dan & Laura Dotson
Buyers: Brandi Passante, Darrell Sheets, Rene & Casey Nezhoda, Ivy Calvin, Kenny Crossley, Barry Weiss, Lisa Delarios and Dusty Riach
Season 15 (2023)
Auctioneers: Dan & Laura Dotson
Buyers: Brandi Passante, Darrell Sheets, Rene & Casey Nezhoda, Ivy Calvin, Kenny Crossley, Barry Weiss, Lisa Delarios and Dusty & Lupe Riach
References
External links
Lists of American reality television series episodes
Episodes
Lists of American non-fiction television series episodes |
https://en.wikipedia.org/wiki/Justin%20Lee | Justin Lee may refer to:
Justin Lee (activist) (born 1977), founder of the Gay Christian Network, now known as Q Christian Fellowship
Justin Lee (actor) (born 1989), Korean-American actor
Justin Lee (diplomat), Australian High Commissioner to Bangladesh
Justin Lee (footballer) (born 1990), Guamanian football player
Justin Lee Collins (born 1974), English media personality
Changjoon Justin Lee, neuroscientist specializing in glioscience
See also
Justin Lee sex scandal (born 1985), sexual assaults in Taiwan |
https://en.wikipedia.org/wiki/Act%20on%20Health%20Sector%20Database | The Act on Health Sector Database, also known as Act on Health Sector Database, No. 139/1998, the Health Sector Database Act and in media by other colloquial names, was a 1998 act of the Icelandic Parliament which allowed the Icelandic government to grant a license to a private company for the creation of a national biological database to store health information which could be used for research. The act was noted for boldly introducing policy related to biobanks and was the subject of controversy.
deCODE genetics did most of the lobbying for the act and was the beneficiary of the license to create the database.
Controversies
The passing of this act spurred international discussion about what policies were already in place and what differences in policy existed among biobanks.
The establishment of a national database for all Icelandic citizens raised discussion about the nature of the informed consent process for the project.
References
External links
, English translation
World Health Organization summary
Biobanks
Health law in Iceland
Government databases
Biological databases
Database law
Databases
Science and technology in Iceland
1998 in Iceland
1998 in law |
https://en.wikipedia.org/wiki/Java%20Grammatical%20Evolution | In computer science, Java Grammatical Evolution is an implementation of grammatical evolution in the Java programming language. Two examples include the jGE library and GEVA.
jGE library
The jGE library was the first published implementation of grammatical evolution in the Java language. Today, another well-known published Java implementation exists, named GEVA. GEVA was developed at University College Dublin's Natural Computing Research & Applications group under the guidance of one of the inventors of grammatical evolution, Dr. Michael O'Neill.
The jGE library aims to provide an implementation of grammatical evolution as well as an open-source, extendable, and free framework for experimentation in the area of evolutionary computation. Namely, it supports the implementation (through additions and extensions) of any evolutionary algorithm. Its extendable architecture and design also facilitate the implementation and incorporation of new experimental implementations inspired by natural evolution and biology.
The jGE library binary file, source code, documentation, and an extension for the NetLogo modeling environment, named jGE NetLogo extension, can be downloaded from the jGE Official Web Site.
License
The jGE library is free software released under the GNU General Public License v3.
References
External links
jGE Official Web Site
Genetic programming
Evolutionary algorithms |
https://en.wikipedia.org/wiki/McGill%27s%20Bus%20Services | McGill's Bus Services is a bus operator based in Greenock, Scotland. The company has grown to operate a network of routes covering much of the council areas of Inverclyde, East Renfrewshire, Renfrewshire, North Lanarkshire, Glasgow City, North Ayrshire, West Lothian, Falkirk and Dundee City. McGill's have several depots based in Greenock, Inchinnan, Johnstone, Edinburgh, Bannockburn, Balfron, Livingston and Dundee. McGill's also formerly had depots in Dumbarton, Barrhead and Coatbridge.
McGill's is the largest independent bus operator in the United Kingdom, as well as being named a Scottish Insider top 500 company in January 2016, coming in at 350th place.
History
Prehistory and early years (1933-2004)
The name "McGill's Bus Services" first came into use in 1933. This company was based in Barrhead and was owned by the McGill family. It expanded significantly during the years leading up to bus deregulation, but in July 1997, sold out to the major operator in the area, Clydeside 2000, in the face of significant competition from independent minibus operators. McGill's initially retained its identity, but was later rebranded as Arriva Scotland West. Another company, Greenock based Ashton Coaches (trading as GMS), was also acquired by Clydeside in the same month.
In July 2001, Arriva decided to withdraw from its Inverclyde operations, which were loss-making and was facing significant competition from independent operators. Its Greenock depot was sold to former GMS owner Alex Kean and the Easdale family with each owning 50%. Arriva had retained a separate operating licence for McGill's, and this was used as the basis for the sale. The McGill's Bus Services name was revived by the new company and a new livery of blue, white, and gold was introduced. The fleet initially consisted of 33 Mercedes-Benz minibuses hired from Arriva; services were operated from a large depot on the Easdale Industrial Estate.
Early in its existence the new company began operating services in competition with Harte Buses, mainly between McGill's 507 and Harte Buses 603, with the purpose of serving Midton in Gourock. and in September 2004 Harte withdrew from two routes leaving McGill's as the sole operator.
In October 2004, Kean sold his shares in the company to the Easdale family, who quickly replaced the hired minibuses with new low-floor vehicles, leading to increases in passenger numbers.
Consolidation & expansion (2005-2015)
Between 2005 and 2008, McGill's introduced a number of new longer-distance routes connecting Inverclyde and Glasgow to Largs, and in May 2005, began operating a series of day excursions branded as Smoothiecruisers. In July 2008, McGill's purchased the stage carriage routes and goodwill of four routes centred on Greenock which had previously been run by Slaemuir Coaches.
In the same month, the firm established a second depot in Barrhead on the site of the garage used by the original McGill's Bus Services, which had been vacated by Arriva in 2002. |
https://en.wikipedia.org/wiki/Krizza%20Neri | Krizza Nikka Neri (born June 28, 1995) is a Filipina singer. She won at Protégé: The Battle for the Big Break, a singing competition on GMA Network.
Biography
Early life
Neri is the daughter of a professional singer.
In 2008 she performed in the Mindanao Pop Idol singing contest and placed second. Neri used an uploaded video of herself singing on YouTube.
Krizza was a fan of Kapuso Actresses Kris Bernal and Jennica Garcia before joining Protégé.
2011: Protégé
On August 10, 2011, she auditioned for Aiza Seguerra at SM City, Cagayan de Oro. Seguerra chose Neri, Mark Gregory King and Zibrille Pepito as potential protégés. Neri won a face-off competition by singing "No One" to become Seguerra's official protégé. Neri was the first grand winner of Protégé: The Battle for the Big Break even though she had been twice in the bottom two.
When she was declared as the grand winner of the show, she willingly shared her condo unit with Lovely Embuscado, the protégé of Jaya.
2012–present: Krizza
After winning Protégé: The Battle For The Big Break, Krizza was welcomed in the Sunday musical variety show, Party Pilipinas. She became a regular performer until the show's cancellation. Neri released her self-titled debut studio album on June 19, 2012. Her debut single, "Ba't 'Di Ko Ba Nasabi?" was used as an original soundtrack for GMA's afternoon program The Good Daughter, top-billed by Kylie Padilla and Rocco Nacino. Krizza is produced by Blackbird Music and distributed under Universal Records.
Discography
2012: Krizza
Tours
2012: The Protégé and the Mentor
Filmography
Television
See also
Jonalyn Viray
Gerald Santos
Maricris Garcia
Gretchen Espina
Frencheska Farr
References
1995 births
Living people
21st-century Filipino women singers
People from Cagayan de Oro
Singers from Misamis Oriental
Participants in Philippine reality television series
Reality show winners
Protégé (TV series) participants
GMA Network personalities
Universal Records (Philippines) artists |
https://en.wikipedia.org/wiki/Trolley%20buses%20in%20Edmonton | The Edmonton trolley bus system formed part of the public transport network in Edmonton, Alberta, Canada between 1939 and 2009. Operated by Edmonton Transit System (ETS), the system had, at its peak, a fleet of 137 trolley buses, and a total route length of .
History
Trolley bus service in Edmonton started on September 24, 1939, operating on route 5 from 101 St/Jasper Ave to 95 St/111 Ave. By the end of October of that year, service had started on another route running to 99 St/Whyte Ave via the Low Level Bridge. In Edmonton, trolley buses were often referred to simply as "trolleys".
The trolley bus system used a mixture of Ohio Brass and K&M Elastic (Swiss) suspension for holding up the overhead wires.
The 49 vehicles remaining in use in 2008 were from an order of 100 manufactured in 1981–82 by Brown Boveri & Company (BBC), using bodies and chassis supplied to BBC by GM. These 100 vehicles for Edmonton were the only trolley buses ever built with the GM "New Look" body, whereas more than 44,000 motor buses were built to that design.
In 2007, a low-floor model of trolley bus was leased from Coast Mountain Bus Company, Vancouver's bus operating company, for a one-year period, for testing of possible benefits of low-floor trolley buses over hybrid diesel buses. During its time in Edmonton the bus was numbered 6000, but its Vancouver number, 2242, was restored when it returned to there.
On June 18, 2008, city council voted 7 to 6 in favour of phasing out the trolley bus system in 2009 and 2010. However, city council decided in April 2009 that trolley bus service would be discontinued earlier than originally planned, in order to reduce the city's expected $35 million deficit in 2009. The last day of service was May 2, 2009.
Fleet
Depots
Cromdale Garage – formerly an Edmonton Radial Railway trolley bus / streetcar barn, then bus facility and historic fleet storage. Has since been demolished, site being repurposed by ETS.
Ferrier Garage – formerly a trolley bus garage; remains in use as a bus facility.
Mitchell Garage – constructed in 1981 and was equipped and opened as a trolley bus garage in 1983; closed in June 2007, then becoming a bus-only facility.
Westwood Garage – formerly a trolley bus garage, opening in 1961 and closed as an active garage when the trolley bus system closed in 2009; remained in use as a bus facility until 2020.
Strathcona Garage – opened as a trolley bus garage in 1951, closed in 1986; now home to Old Strathcona Farmer's Market and Edmonton Radial Railway Society High Level Bridge Streetcar storage.
Preservation
At least five of Edmonton's 1982 BBC HR150G trolley buses have been preserved by museums or museum-type groups. Those at museums are No. 125, at the Seashore Trolley Museum (in Kennebunkport, Maine, United States); No. 181, at the Illinois Railway Museum (in Union, Illinois, U.S.); and No. 189, at the Trolleybus Museum at Sandtoft (U.K.). No. 132 has been preserved by the Transit Museum Society in Vancouver |
https://en.wikipedia.org/wiki/StreetPass%20Mii%20Plaza | is an application which comes pre-loaded on all Nintendo 3DS systems. In the game, players can meet other players' Miis over StreetPass and online through Nintendo Network, and interact with them.
Summary
StreetPass Mii Plaza is an application that makes use of the Nintendo 3DS's StreetPass functionality, in which the system can detect and exchange data with other nearby systems whilst in sleep mode. The game revolves around a player's chosen Mii, which can be customised with accessories earned from minigames, along with a short customizable message and some optional information about likes. When new Miis are registered by the system, they will appear at the gate. Up to ten Miis can show up at the gate at any one time, after which the player will need to use them with their minigames before checking for more. Meeting the same Miis multiple times adds extra functionality, such as personalised messages and the ability to rate them. There are also special Miis that appear via SpotPass during special events, such as Nintendo staff members. After meeting another player's Mii, the player can then use that Mii to play a variety of different games, three of them being playable free of charge: Puzzle Swap, StreetPass Quest (known as Find Mii in the US region), and StreetPass Quest II.
After the December 2011 update (2.0), extra features were added to the game including a map in which players can see which countries they have met the most Miis from (not all countries have this feature) and a music player which features unlockable tracks of music from the game and an accomplishments section. Another update was added in June 2013, introducing four new purchasable games, as well as a new interface and framerate improvements. Following this update, players can earn Plaza Tickets from purchasable games which can be exchanged for hats and outfits to customise their Mii. A second update, which adds two more purchasable games and additional features, was released in April 2015. A third update, which adds five more purchasable games and increases the capacity of StreetPass hits per session to 100, was implemented in September 2016.
Preloaded games
Puzzle Swap
is a game in which players aim to complete a 3D animated picture of a Nintendo video game by gathering its pieces. If a player encountered on StreetPass possesses any pieces the player does not have, the player can choose one of their pieces to add to their own. The player may also use Play Coins to buy random pieces for their existing panels, although it won't always be a new piece. After the December 2011 update, new puzzles became available which included four or eight pink squares in the center. Pink pieces are distributed to players via SpotPass and can only be gathered via StreetPass; they cannot be bought using Play Coins. Some puzzles have more pieces than others, making them harder to complete.
StreetPass Quest / Find Mii
, known in North America as Find Mii, is a role-playing game. In this game |
https://en.wikipedia.org/wiki/Estonian%20Genome%20Project | The Estonian Genome Project is a population-based biological database and biobank which was established in 2000 to improve public health in Estonia. It contains health records and biological specimens from a large percentage of the Estonian population.
History
In June 2000 the Estonian Genome Foundation introduced the Estonian government to the Estonian Genome Project, and lobbied for legislative changes and government support to make the project possible. The project organizers invited input broadly from many sectors in planning to establish the EGF. The project was also presented as a cultural investment towards strengthening national identity by contributing to global research. At the time, many research teams were organizing similar projects, but this project was projected to be the world's largest.
An early goal of the project was to collect biological specimens and health data from 70% of Estonia's population of 1.4 million within its first 10 years. By 2004 the EGF had collected data from 10,000 people, and faced fiscal reorganization as they and their primary financier, EGeen, dissolved their partnership. As of February 2014 the project had collected genes, questionnaire data on health (e.g. diet, lifestyle and clinical diagnoses) and GP standard health examinations from 52,000 adult gene donors and the aim had been adjusted downwards to collect genealogical, genome and health data from 5% of the population.
The Estonian Genome Centre is based at the University of Tartu.
References
External links
English website for Estonian Genome Center
Biobank organizations
Medical and health organizations based in Estonia
Science and technology in Estonia
2000 establishments in Estonia |
https://en.wikipedia.org/wiki/Governance%20of%20hydropower%20in%20Scandinavia | Governance of hydropower in Scandinavia, and the implementation of hydropower projects, is controlled by self-organising networks, with an open decision making process.
Scandinavia is one of the largest producers of hydropower in the world.
Hydropower in Scandinavia
Sweden
50% of electricity production comes from hydropower.
Has over 1000 hydropower plants.
The first state owned hydropower plant was developed in 1906.
Norway
95% of electricity production comes from hydropower and is the single largest producer of hydropower. Production capacity is around 31 GW in 2015.
Production was 131 TWh in 2014, which is 62% of its potential hydropower of 214 TWh.
Produces more electricity than it needs and looks to expand into Europe.
Denmark
Has only three hydropower plants, powering 3000 homes, accounting for less than 0.1% of its total electricity production.
Denmark is geographically small and relatively flat with no rivers suitable for hydropower.
Imports most of its hydroelectricity from Sweden and Norway.
Denmark has the lowest total energy intensity in EU.
Governance of Hydropower in Scandinavia
National governments in Scandinavia consult with all stakeholders affected by hydropower plants. The interaction between stakeholders on hydropower projects in Norway can be classified as participatory governance. After the Scandinavian countries de-regulated their markets, they connected their individual markets into one common market, Nord Pool Spot. The energy that is not traded through the market is traded through contracts between suppliers, retailers and consumers.
Sweden
The Swedish electricity market was deregulated in 1996, transforming the industry from a government hierarchical system to a governance steering structure. The law stated that ‘power trading and network operations may not be conducted by the same organisation but numerous organisations thus the production and trade of electricity became competitive. The industry would be regulated by public authorities, the Energy Market Inspectorate within the Swedish Energy Agency. Its responsibilities included monitoring network tariffs and ensuring that network operators do not subsidise other interests.
Denmark
Most of Denmark's hydropower electricity comes from Norway and Sweden, supplied partly through Nord Pool Spot.
Denmark has increased its renewable energy sources (wind and biomass) from approximately 0% in 1970 to 20% in 2005, which leaves them on target for the RES directive. Wind share was 39% in 2014.
Norway
The different levels of governance in Norway concerning hydropower can be seen through the economic interests, and the social responses, to the installation and expansion of hydropower projects.
Local level
At the local level hydropower can have an enormous effect on communities; creating employment, improving infrastructure, and building new or enhanced roads. However, some communities can be resistant to hydropower, especially when local incomes ar |
https://en.wikipedia.org/wiki/Just%20Adventure | Just Adventure is a computer game website dedicated to the genre of adventure games. Founded in 1997, it publishes reviews and previews of adventure games, as well as opinion articles and interviews with game designers. The site was founded by Francis "Randy" Sluganski, who died on November 6, 2012 from cancer.
Ragnar Tornquist, the creator of the adventure games The Longest Journey and Dreamfall: The Longest Journey has stated that the reviews on Just Adventure are "very important to [him]". In 2000, PC Gamer US columnist Michael Wolf called Just Adventure "the best site on the Web for the adventure game fan". In 2003, Mark H. Walker noted that Just Adventure was "the Internet's largest gaming site devoted to adventure games". Similarly, Anastasia Salter wrote in 2014 that Just Adventure was "one of the major adventure game fan sites on the web".
The site has not been updated since August 2019
See also
Adventure Gamers
Notes
External links
JustAdventure.com
Video game news websites
Internet properties established in 1997
Video game genre websites |
https://en.wikipedia.org/wiki/Jeremy%20Howard%20%28entrepreneur%29 | Jeremy Howard (born 13 November 1973) is an Australian data scientist, entrepreneur, and educator.
He is the co-founder of fast.ai, where he teaches introductory courses, develops software, and conducts research in the area of deep learning.
Previously he founded and led Fastmail, Optimal Decisions Group, and Enlitic. He was President and Chief Scientist of Kaggle.
Early in the COVID-19 epidemic he was a leading advocate for masking.
Early life
Howard was born in London, United Kingdom, and moved to Melbourne, Australia in 1976. He attended Melbourne Grammar and studied philosophy at the University of Melbourne.
Career
Howard started his career in management consulting, working at McKinsey & Co and AT Kearney. He remained in management consulting for eight years before becoming an entrepreneur.
Early in his career, Howard contributed to open-source projects, particularly the Perl programming language, Cyrus IMAP server, and Postfix SMTP server. He helped develop the Perl language, as chair of the Perl6-data working group, and author of RFCs.
While in Australia, Howard founded two successful startups: the email provider FastMail.FM, which he sold to Opera Software, and the insurance pricing optimization company Optimal Decisions Group (ODG), which he sold to ChoicePoint. Fastmail was one of the first email products that enabled users to integrate their familiar desktop clients.
Kaggle
Howard first became involved with Kaggle, founded in April 2010, after becoming the globally top-ranked participant in data science competitions in both 2010 and 2011. The competitions that Howard won involved tourism forecasting and predicting the success of grant applications. Howard then became the President and Chief Scientist of Kaggle.
In December 2011, Wired Magazine ran a piece on Howard, calling him 'The Accidental Scientist'. Howard was also interviewed by the McKinsey Quarterly, where he explained that the rapid advance of machine learning presents an economic paradox; while productivity is rising, employment may not. By December 2013, Howard had left his position as President of Kaggle.
Enlitic
In August 2014, Howard founded Enlitic to use machine learning to make medical diagnostics and clinical decision support tools faster, more accurate, and more accessible. Enlitic uses deep Learning algorithms to diagnose illness and disease. Howard believes that today, machine learning algorithms are actually as good as or better than humans at many things that we think of as being uniquely human capabilities.
Howard taught data science at company Singularity University. He was also a Young Global Leader with the World Economic Forum, and spoke at the World Economic Forum Annual Meeting 2014 on "Jobs For The Machines." Howard advised Khosla Ventures as their Data Strategist, identifying the biggest opportunities for investing in data-driven startups and mentoring their portfolio companies to build data-driven businesses.
fast.ai
Together wit |
https://en.wikipedia.org/wiki/Extensible%20Host%20Controller%20Interface | The eXtensible Host Controller Interface (xHCI) is a technical specification that provides a detailed framework for the functioning of a computer's host controller for Universal Serial Bus (USB). Known alternately as the USB 3.0 host controller specification, xHCI is designed to be backward compatible, supporting a wide range of USB devices from older USB 1.x to the more recent USB 3.x versions.
Distinct from its predecessors, the Open Host Controller Interface (OHCI) and the Universal Host Controller Interface (UHCI), xHCI offers several technological improvements. Specifically, it is designed to handle multiple data transfer speeds (low, full, high, and SuperSpeed) within a single unified standard. This makes it more efficient in managing computational and power resources, a feature particularly beneficial for mobile devices with limited power capabilities like tablets and smartphones. Additionally, xHCI simplifies the architecture needed to support a mixture of low-speed and high-speed devices, which streamlines the development of drivers and system software.
xHCI marks a significant improvement over its predecessors, the Open Host Controller Interface (OHCI) and the Universal Host Controller Interface (UHCI), in several key ways:
Multi-Speed Support: Unlike OHCI and UHCI, which were limited to specific USB speeds, xHCI is capable of managing multiple data transfer speeds—low, full, high, and SuperSpeed—under a single standard. This eliminates the need for multiple host controllers or complex switching mechanisms when dealing with various types of USB devices, thereby improving efficiency.
Power Management: xHCI includes advanced power management features that allow for selective suspension of USB devices and more granular power distribution. This is especially beneficial for mobile devices with limited battery life, such as tablets and smartphones, as it helps to maximize power utilization and extend battery life.
Streamlined Architecture: xHCI's architecture is designed to be simpler and more straightforward, reducing the complexity of driver development. In older architectures like OHCI and UHCI, supporting a mix of low-speed and high-speed devices required complicated algorithms and multiple transaction translators. xHCI simplifies this by integrating these functions into the host controller itself, thus easing the burden on system software and driver developers.
By enhancing support for multiple speeds, optimizing power management, and simplifying the underlying architecture, xHCI serves as a more efficient and unified standard for USB host controllers.
Architectural goals
The xHCI is a radical break from the previous generations of USB host controller interface architectures (i.e. the Open Host Controller Interface (OHCI), the Universal Host Controller Interface (UHCI), and the Enhanced Host Controller Interface (EHCI)) on many counts.
Following are the key goals of the xHCI architecture:
Efficient operation – idle power and pe |
https://en.wikipedia.org/wiki/Incapsula | Imperva Incapsula is an American cloud-based application delivery platform. It uses a global content delivery network to provide web application security, DDoS mitigation, content caching, application delivery, load balancing and failover services.
History
Incapsula was founded in 2009 by Gur Shatz and Marc Gaffan. The company has its origins in Imperva (NYSE:IMPV), an American-based cyber security firm which at the time owned 85% of Incapsula. It was spun out from Imperva in 2009. While reported to be growing at a rate of between 50%, 76% and 102% per quarter as of August 2013, the company lost over $1.7 million in the second quarter of that same year.
In February 2014 Imperva bought the remaining part of Incapsula and it became a product line within the parent company.
In 2013 Incapsula launched a tool named "Backdoor Protect". The tool is reported to detect and block malicious back-doors and "webshells". The tool works by comparing a website's traffic against a database of known back-doors. Later that year, the company announced a two factor authentication feature called Login-Protect, as an integrated feature of its products.
In October 2013 Incapsula was credited with having protected against one of the Internet's largest attacks on a website. The September 24, 2013, attack was said to have lasted nine hours with 100Gbit/s of traffic at its peak. The attack was against BTC China, a bitcoin and yuan trading platform.
Incapsula also announced in 2013 that it would be implementing Layer 7 load balancing capabilities.
In December 2016 Incapsula reported that it had defended against the largest DDoS attack then recorded, which peaked at over 650Gbit/s and 200Mpps.
Service and features
Incapsula has multiple features that are used in the security and performance of websites:
Application delivery control (ADC)
Content delivery network (CDN)
DDoS mitigation
Global server load-balancing (GSLB)
Web application firewall (WAF)
Incapsula WAF protects websites by changing their Domain Name System (DNS) records to route traffic through Incapsula. Incapsula then filters out malicious attacks from bots and website scrapers.
As of 2011 it was effective against cross site scripting, illegal resource access and all other OWASP top 10 threats, SQL injections, and web 2.0 threats including academic web archiving, comment spam, fake registrations, malicious bots, referrer spam, and site scraping.
Incapsula also has a content delivery network that caches websites on their server network to speed up website load time. The cached information is returned from a server closest to the end user to provide fast page loads. This also allegedly militates against slow responses due to heavy server traffic.
Awards and recognition
In 2011, Incapsula was chosen as one of the Top 10 companies to participate in RSA Conference Innovation Sandbox. The same year, they were a finalist for the Red Herring Top 100 North America Award.
In 2013, Incapsula was named |
https://en.wikipedia.org/wiki/Killzone%3A%20Mercenary | Killzone: Mercenary is a first-person shooter video game developed by Guerrilla Cambridge and published by Sony Computer Entertainment for the PlayStation Vita, released in September 2013. It is the second handheld game in the Killzone series of video games, and fifth overall.
Taking place throughout key events and locations of the first three installments of the Killzone franchise, Mercenary follows the story of Arran Danner, a mercenary hired by the ISA.
Mercenary was met with positive critical reception for its quality as a portable-console first person shooter. Praise was given to the game's controls and visuals, while criticism was aimed at its story and campaign length.
Gameplay
For the first time in a Killzone campaign, players can fight alongside Helghast forces as well as ISA specialists, carrying out missions that regular soldiers cannot. As a mercenary, players are free to decide which tactics and load outs they will use to fulfill their contract; employers will reward players with money if successfully completed. The game utilizes the PS Vita's touchscreen and rear touch panel.
Plot
Setting
Killzone: Mercenary takes place on the planets Vekta and Helghan, locked in an interstellar war. The game is set in between Killzone 2 and Killzone 3 and revisits many of the key events of Killzone, Killzone: Liberation, and Killzone 2 from the perspective of Arran Danner, a mercenary hired to execute operations for the ISA. He is supplied by mysterious weapons dealer Blackjack, and is aided at times by his boss Anders Benoit.
Story
The game starts with the Helghast invasion of Vekta. Mercenaries Arran Danner and his partner Damian Ivanov are tasked by their boss – Anders Benoit to arrive in the Vektan city of Diortem on a mission to rescue ISA Admiral Alex Grey from Helghast forces using location information gained by the Vektan Ambassador – Sepp Harkin. Danner and Ivanov fight their way through the Vektan Halls of Justice where she is being held. They witness Helghast Colonel Kratek attempting to execute her, but manage to extract her safely. The two then make their way to a downed Helghan cruiser which is attempting to escape with stolen ISA weapons technology. The cruiser also has the transmission codes for all of the Helghast forces so obtaining the codes is vital to the ISA. Danner hacks into the cruisers computers and obtains the codes, however whilst sabotaging the cruiser power supply Ivanov is caught in a booby trap and sacrifices himself to destroy the ship. Despite the casualty the mission is deemed a success.
Two years later the theater of war shifts to Helghan, the Helghast home planet. Danner disables part of the Arc Cannon system in order to open a window for invading ISA forces as because of them the invasion has stalled. He then attempts to rescue the Vektan Ambassador and his family (as the leaking of Admiral Grey's location has been discovered by the Helghast) from the Vektan Embassy in Pyrrhus City, however the Ambassad |
https://en.wikipedia.org/wiki/Karthik%20Naralasetty | Karthik Naralasetty was born in Guntur. His father was a Physical Director of Hindu College, Guntur. is an internet entrepreneur and founder of social networking site socialblood. He was born in Andhra Pradesh, India.
Career
Karthik dropped out of Rutgers University, New Jersey in 2009 to found his own technology company called redcode Informatics in Bangalore, India. In November 2011 he was one of the Staples Youth Social Entrepreneur Award winners, for his work at socialblood.org.
In February 2015 Forbes India recognized him as one of the 30 under 30 innovators.
References
External links
Living people
Telugu people
Date of birth missing (living people)
1989 births
Businesspeople from Andhra Pradesh
Indian Internet company founders |
https://en.wikipedia.org/wiki/Uppland%20Runic%20Inscription%20210 | Uppland Runic Inscription 210 or U 210 is the Rundata catalog listing for a Viking Age memorial runic inscription which is carved on a rock-face that is located in Åsta, which is three kilometers east of Vallentuna, Stockholm County, Sweden, and in the historic province of Uppland. The inscription is signed by the runemaster Öpir.
Description
The inscription on U 210 consists of runic text in the younger futhark that is carved on a serpent that makes three loops and with a cross located in the upper loop. The inscription, which measures 1.5 meters tall by 1.3 meters broad, is classified as being carved in runestone style Pr4, which is also known as Urnes style. This runestone style is characterized by slim and stylized animals that are interwoven into tight patterns. The animal heads are typically seen in profile with slender almond-shaped eyes and upwardly curled appendages on the noses and the necks. U 210 was described by one runic scholar as being a "good example" of a Pr4 style inscription. The runic text indicates that the inscription was carved by a runemaster with a normalized name of Öpir, who was active in Uppland in the late 11th and early 12th centuries. Öpir was known for using loop patterns in his inscriptions, and used a three loop pattern for U 210. Other signed inscriptions where Öpir used a three loop pattern include U 142 in Fällbro, U 279 in Skälby, U 287 in Vik, U 566 in Vällingsö, U 687 in Sjusta, U 893 in Högby, U 898 in Norby, U 961 in Vaksala, and U 1106 in Äskelunda.
The runic text states that the inscription was sponsored by two brothers named Finnviðr and Holmgeirr and their mother Heðinvé in memory of their father Holmgautr. The inscription is signed by Öpir using the runes ybiʀ ' iak ("Œpir cut"), which he also used on the now-lost runestone U 168 in Björkeby.
Inscription
Transliteration of the runes into Latin characters
finuiþr ' auk ' hulmkaiʀ ' litu ' kera ' merki ÷ at ÷ hulmkut ' faþur ÷ sin ÷ iþinui ' at ' bonta sin ' ybiʀ ' iak
Transcription into Old Norse
Finnviðr ok Holmgæiʀʀ letu gærva mærki at Holmgaut, faður sinn, Heðinvi at bonda sinn. Øpiʀ hiogg.
Translation in English
Finnviðr and Holmgeirr had the landmark made in memory of Holmgautr, their father; Heðinvé in memory of her husbandman. Œpir cut.
References
External links
Drawing of U 210 by Richard Dybeck in the 1800s - Stockholm Läns Museum
Photograph of U 210 from 1964 - Stockholm Läns Museum
Uppland Runic Inscription 0210 |
https://en.wikipedia.org/wiki/Reward-based%20selection | Reward-based selection is a technique used in evolutionary algorithms for selecting potentially useful solutions for recombination.
The probability of being selected for an individual is proportional to the cumulative reward obtained by the individual. The cumulative reward can be computed as a sum of the individual reward and the reward inherited from parents.
Description
Reward-based selection can be used within Multi-armed bandit framework for Multi-objective optimization to obtain a better approximation of the Pareto front.
The newborn and its parents receive a reward , if was selected for new population , otherwise the reward is zero.
Several reward definitions are possible:
1. , if the newborn individual was selected for new population .
2. , where is the rank of newly inserted individual in the population of individuals. Rank can be computed using a well-known non-dominated sorting procedure.
3. , where is the hypervolume indicator contribution of the individual to the population . The reward if the newly inserted individual improves the quality of the population, which is measured as its hypervolume contribution in the objective space.
4. A relaxation of the above reward, involving a rank-based penalization for points for -th dominated Pareto front:
Reward-based selection can quickly identify the most fruitful directions of search by maximizing the cumulative reward of individuals.
See also
Fitness proportionate selection
Selection (genetic algorithm)
Stochastic universal sampling
Tournament selection
References
Evolutionary algorithms
Genetic algorithms |
https://en.wikipedia.org/wiki/RefDB%20%28chemistry%29 | The Re-referenced Protein Chemical shift Database (RefDB) is an NMR spectroscopy database of carefully corrected or re-referenced chemical shifts, derived from the BioMagResBank (BMRB) (Fig. 1). The database was assembled by using a structure-based chemical shift calculation program (called SHIFTX) to calculate expected protein (1)H, (13)C and (15)N chemical shifts from X-ray or NMR coordinate data of previously assigned proteins reported in the BMRB. The comparison is automatically performed by a program called SHIFTCOR. The RefDB database currently provides reference-corrected chemical shift data on more than 2000 assigned peptides and proteins. Data from the database indicates that nearly 25% of BMRB entries with (13)C protein assignments and 27% of BMRB entries with (15)N protein assignments require significant chemical shift reference readjustments. Additionally, nearly 40% of protein entries deposited in the BioMagResBank appear to have at least one assignment error. Users may download, search or browse the database through a number of methods available through the RefDB website. RefDB provides a standard chemical shift resource for biomolecular NMR spectroscopists, wishing to derive or compute chemical shift trends in peptides and proteins.
Scope and Access
All data in RefDB is non-proprietary or is derived from a non-proprietary source. It is freely accessible and available to anyone. In addition, nearly every data item is fully traceable and explicitly referenced to the original source. RefDB data is available through a public web interface and downloads.
Features
All chemical shifts in RefDB have been computationally re-referenced to DSS (a common NMR chemical shift standard). RefDB is a continuously updated resource that uses web-bots to query public databases (BMRB, GenBank, Protein Data Bank) and fetch assignment, sequence and structure data on a weekly basis. It then applies a series of data checking routines (using keywords to remove paramagnetic or denatured proteins) followed by a series of calculations to identify and correct chemical shift referencing errors. RefDB is fully web-enabled database, it stores data in two standard formats (NMR-STAR and Shifty), it performs automated data updating, checking and validation and it provides open access to output data in a fully downloadable flat file format as well as in a hyperlinked browsable table (see Fig. 2). RefDB also supports keyword queries and sequence searches (using local BLAST). RefDB is usually updated on a weekly basis. The RefDB database, along with its associated software, is freely available at http://refdb.wishartlab.com and at the BMRB website.
Protocols
RefDB has been prepared using a combination of three different computer programs. The first program (SHIFTX) calculates backbone 1H, 13C and 15N chemical shifts from protein 3D coordinate data. The second program (SHIFTCOR) compares the calculated shifts with the observed shifts, evaluates any statistically si |
https://en.wikipedia.org/wiki/John%20Thompson%20%28inventor%29 | John Henry Michael "JT" Thompson (born June 15, 1959) is the inventor of the Lingo programming language used in Adobe Director and a former Chief Scientist at Macromedia. He is a former professor in the Interactive Telecommunications Program (ITP) at the New York University Tisch School of the Arts and instructor at Drexel University. He is committed to teaching and motivating successive scions of tech developers. He is a graduate of MIT and the Art Student League of New York.
He spent part of his childhood in Jamaica. His parents, in search of a better life for their children moved from the United Kingdom to New York. In 2012 he returned to his homeland Jamaica, to implement the Digital Jam 2.0 project. This included directing a course of mobile apps development workshops. According to him the vision for the project was to "export an innovative software development strategy to enable Jamaican youth to prosper in the global internet knowledge economy." He was honored for his innovations and commitment to coaching with the Silver Musgrave Medal for Science in 2012 by the Institute of Jamaica (IOJ).
Publications
References
External links
American inventors
Living people
1959 births |
https://en.wikipedia.org/wiki/SHIFTCOR | SHIFTCOR (Shift Correction) is a freely available web server as well as a stand-alone computer program for protein chemical shift re-referencing. Chemical shift referencing is a particularly widespread problem in biomolecular NMR with up to 25% of existing NMR chemical shift assignments being improperly referenced. Some of these referencing problems can lead to systematic errors of between 1.0 to 2.5 ppm (especially in 13C and 15N chemical shifts). Errors of this magnitude can play havoc with any attempt to compare assignments between proteins or to structurally interpret chemical shifts. Identifying which proteins are mis-assigned or improperly referenced can be challenging, as can correcting the errors once they are found. The SHIFTCOR program was designed to assist with identifying and fixing these chemical shift referencing problems. Specifically it compares, identifies, corrects and re-references 1H, 13C and 15N backbone chemical shifts of peptides and proteins by comparing the observed chemical shifts with the predicted chemical shifts derived from the 3D structure (using PDB coordinates) of the protein(s) of interest [1]. The predicted chemical shifts are calculated using the ShiftX program. The SHIFTCOR program was originally used to construct a database of properly re-referenced protein chemical shift assignments called RefDB. RefDB is a web-accessible database of more than 2000 correctly referenced protein chemical shift assignments. While originally available as a stand-alone program only, SHIFTCOR has since been released for general use as a web server.
See also
Chemical Shift
NMR
Protein
Protein structure database
Protein Chemical Shift Re-Referencing
Protein secondary structure
Protein Chemical Shift Prediction
Chemical shift index
Protein NMR
References
External links
ShiftX
RefDB
Nuclear magnetic resonance software
Protein methods
Protein structure
Biophysics
Chemistry software
Biological databases |
https://en.wikipedia.org/wiki/Michael%20F.%20Koehler | Michael F. Koehler is an American technology executive who was the chief executive officer of Teradata from September 2007 to May 2016.
Education
Koehler graduated from the University of Delaware’s College of Business and Economics in 1975 with a bachelor's degree in business administration. He is a member of Sigma Phi Epsilon.
Career
Koehler started his career with NCR Corporation in 1975, rising to be vice president. From 2000 to 2003, he was vice president of the Teradata division of NCR's global field operations. In 2003, he became senior vice president of the Teradata division of NCR.
Koehler became president and CEO of Teradata after its 2007 spin off from NCR.
Koehler was succeeded as CEO by Victor L. Lund.
References
Living people
University of Delaware alumni
American technology chief executives
NCR Corporation people
Teradata
Year of birth missing (living people) |
https://en.wikipedia.org/wiki/From%20the%20Bench%20Digital%20Entertainment | From The Bench Digital Entertainment (Also From The Bench Games), commonly referred to as From The Bench or simply FTB, is a technological firm and a social networking video game developer based in Spain. It works on the development and promotion of social interactive games of sport nature. Until now, From The Bench has released several games on iPhone, Facebook and also Android platforms.
It has developed & launched several successful titles such as Real Madrid Fantasy Manager, AC Milan Fantasy Manager, Liverpool FC Fantasy Manager & MotoGP Fantasy Manager. The current launches include Be a Legend: Football, Evolution Manager & NBA General Manager.
In May 2022, it was announced From The Bench had been acquired by the Barcelona-based digital advertising company, Tappx
References
External links
Official Website
From The Bench on Facebook
From The Bench on Twitter
Video game development companies
Video game companies of Spain |
https://en.wikipedia.org/wiki/Isolepis%20inundata | Isolepis inundata is a species of sedge native to Papua New Guinea, Australia and New Zealand. Common names include swamp club-rush. It was first described by prolific botanist Robert Brown in 1810.
References
inundata
Flora of New South Wales
Flora of New Zealand
Flora of Papua New Guinea
Flora of Queensland
Flora of South Australia
Flora of Tasmania
Flora of Victoria (state)
Angiosperms of Western Australia
Plants described in 1810 |
https://en.wikipedia.org/wiki/Nick%20D%27Aloisio | Nicholas D'Aloisio (born 1 November 1995) is a British computer programmer and internet entrepreneur. He is the founder of Summly, a mobile app which automatically summarises news articles and other material, which was acquired by Yahoo for $30M, according to allthingsd.com, but the price wasn't officially disclosed. D'Aloisio is the youngest person to receive a round of venture capital in technology, at the age of 16. D'Aloisio was more recently the founder of a startup called Sphere that was acquired by Twitter in October 2021 for an undisclosed sum, and received $30M of venture capital investment from Index Ventures and Mike Moritz. He is also a student at Oxford University, where he graduated from the BPhil in Philosophy in July 2021 and now is undertaking the PhD (DPhil) course. D'Aloisio has had seven papers accepted for publication or revision & resubmission in peer-reviewed journals.
Early life and education
D'Aloisio was born in Melbourne, Australia. Having spent some years there, D’Aloisio left Australia for the United Kingdom at the age of 7 with his lawyer mother and banker father. When he was seven, they returned to London. D'Aloisio was educated at King's College School, an independent school for boys in Wimbledon, south west London. In the summer of 2014, he took A-level examinations at King's College School, Wimbledon. From 2014, D'Aloisio studied his undergraduate degree in philosophy and computer science at Hertford College, Oxford University. In 2019, he commenced the BPhil graduate programme in Philosophy at Oxford University, and then advanced onto the DPhil (PhD) course in 2021.
Since 2017, D'Aloisio has published a number of academic papers in peer-reviewed journals. One of them, titled "Imagery and Overflow: We See More Than We Report", was published in Philosophical Psychology He presented a second paper at the Centre for Philosophical Psychology, University of Antwerp. A third paper was published in the philosophy journal Ratio, and three more papers were accepted for publication in the peer-reviewed journals Philosophia, Disputatio and Phenomenology and the Cognitive Sciences.
Career
Summly
In March 2011, D'Aloisio launched an iOS app named Trimit, which used an algorithm to condense text such as emails and blog posts into a summary of 1000, 500, or 140-character text. With 100,000 downloads, the app was featured as on the Apple App Store. Shortly afterwards, Trimit attracted the attention of business magnate Li Ka-Shing, who provided 16-year-old D'Aloisio with US$300,000 in venture capital investment. After gathering feedback, D'Aloisio re-designed the app and renamed it Summly in December 2011.
Summly aimed to solve perceived problems with the way news articles are presented on smartphones, with the initial version of Summly being downloaded by over 200,000 users. He hired a team from Israel, including a scientist named Inderjeet Mani, who specialised in natural language processing, to improve the app. With corpo |
https://en.wikipedia.org/wiki/Address%20programming%20language | The Address programming language () is one of the world's first high-level programming languages. It was created in 1955 by Kateryna Yushchenko. In particular, the Address programming language made possible indirect addressing and addresses of the highest rank analogous to pointers.
Unlike Fortran and ALGOL 60, APL (Address programming language) supported indirect addressing and addressing of higher ranks. Indirect addressing is a mechanism that appeared in other programming languages much later (1964 in PL/1).
The Address language was implemented on all the computers of the first and second generation produced in the Soviet Union. The Address language influenced the architecture of the Kyiv, M-20, Dnipro, Ural, Promin and Minsk computers. The Address programming language was used exclusively for the solution of economical problems, including aviation, space exploration, machine building, and military complex in particular, to calculate the trajectories of ballistic missiles in flight in the 1950–60s. Implementations of the Address programming language were used for nearly 20 years. A book about APL was published in Ukraine in 1963 and it was translated and published in France in 1974.
The Address language affected not only the Soviet Union's and other socialist countries economical development, but information technology and programming of over the world. APL's proposed and implemented ideas and tools can be found in many programming-related fields, such as abstract data types, object-oriented programming, functional programming, logical programming, databases and artificial intelligence.
Books
Glushkov V.M., & Yushchenko E.L., D 1966, The Kiev Computer; a Mathematical Description, USA, Ohio, Translation Division, Foreign Technology Div., Wright-Pattenon AFB, 234p., ASIN: B0007G3QGC.
Gnedenko B.V., Koroliouk V. S. & Iouchtchenko E.L., D 1969, Eléments de programmation sur ordinateurs, Paris, Dunod, 362p., ASIN: B0014UQTU0, viewed 24 October 2021,
<https://files.infoua.net/yushchenko/Elements-de-programmation-sur-ordinateurs_BGnedenko-VKoroliouk-EIouchtchenko_1969_France_OCR.pdf>.
Gnedenko B.V., Koroljuk V.S. & Justschenko E.L., D 1964, Elemente der Programmierung, DDR, Leipzig, Verlag: B. G. Teubner, 327 oldal.
Gnedenko B.V., Korolyuk V.S. & Juscsenko E.L. D 1964, Bevezetѐs a progamozásba, – I, II. – Magyarország, Budapest, Uj technica.
Вычислительная машина «Киев»: математическое описание / В. М. Глушков, Е. Л. Ющенко. — К. : Техн. лит., 1962. — 183 с.
Кулинкович А.Е., Ющенко Е.Л., О базовом алгоритмическом языке. / Кулинкович А.Е., Ющенко Е.Л., в журн.: «Кибернетика», К. : № 2, 1965. C.3-9, – URL: https://files.infoua.net/yushchenko/O-bazovom-algoritmicheskov-yazyke_AKulinkovich_EYushchenko_1965.pdf
Ющенко Е. Л. Адресное программирование / Е. Л. Ющенко. — К. : Техн. лит., 1963. — 286 с. https://files.infoua.net/yushchenko/Adresnoe-programmirovanie_EYushchenko_1963.pdf
Ющенко Е. Л. Программирующая программа с входным адресным яз |
https://en.wikipedia.org/wiki/Roe%20Award | The Roe Award is an annual award given by the State Policy Network that "pays tribute to those in the state public policy movement whose achievements have greatly advanced the free market philosophy" and "recognizes leadership, innovation and accomplishment in public policy." Established in 1992, it is named after the late founder of the State Policy Network, Thomas A. Roe.
During the first decade of the award, there were multiple winners. Beginning in 2003, the prize was limited to one winner per year. The ceremony in 2013 marked the first time three individuals from one organization had received the Roe Award. The Mackinac Center was also honored for their 25-year effort to pass right-to-work law in Michigan. Five other state-based think tanks have two individuals with the award.
Award recipients
References
External links
State Policy Network Roe Award
American awards |
https://en.wikipedia.org/wiki/List%20of%20Russian%20films%20of%202011 | A list of films produced in Russia in 2011 (see 2011 in film).
2011
See also
2011 in Russia
References
External links
Russian films of 2011 at the Internet Movie Database
2011
Films
Russia |
https://en.wikipedia.org/wiki/List%20of%20programs%20broadcast%20by%20TruTV | This is a list of television programs currently and formerly broadcast by truTV, a cable and satellite television network owned by the Warner Bros. Discovery Networks division of Warner Bros. Discovery. This list also covers programs that aired during the network's years as Court TV from its original launch in 1991 until its 2008 re-branding as truTV.
Current programming
Original programming
A list of shows currently in production, as of December 25, 2022.
Sports
Programming from sister networks
Programming from truTV's sister networks.
Weekend programming
Programming from the Warner Bros. Television library that airs in weekend marathons under the block name Comfort Food.
Former programming
Some of the shows on this list (indicated in bold) are currently airing in reruns on truTV.
Original programming
Acquired programming
Sports
References
truTV |
https://en.wikipedia.org/wiki/The%20Bugle%20Call | The Bugle Call is a 1927 American silent drama film directed by Edward Sedgwick and starring Jackie Coogan and Claire Windsor, which was released on August 6, 1927.
The Lost Film Files database lists this film as being lost.
Plot
Billy Randalph (Coogan) who is a young bugler on a frontier cavalry post in the mid-1870s, whose stepmother Alice Tremayne (Windsor) attempts to replace his real mother who only lives in his memory.
Cast
Jackie Coogan as Billy Randolph
Claire Windsor as Alice Tremayne
Herbert Rawlinson as Capt. Randolph
Tom O'Brien as Sgt. Doolan
Harry Todd as Cpl. Jansen
Nelson McDowell as Luke
Sarah Padden as Luke's Wife
Johnny Mack Brown Bit (uncredited)
Crew
Cedric Gibbons - Art Director
David Townsend - Set Design
André-ani - Costume Design
References
External links
1927 films
1927 drama films
1927 lost films
Silent American drama films
American silent feature films
American black-and-white films
1920s English-language films
Films directed by Edward Sedgwick
Metro-Goldwyn-Mayer films
Lost American drama films
1920s American films
English-language drama films |
https://en.wikipedia.org/wiki/Uppland%20Runic%20Inscription%20541 | Uppland Runic Inscription 541 or U 541 is the Rundata catalog listing for a Viking Age memorial runestone which is located at the Husby-Sjuhundra church, which is five kilometers west of Norrtälje, Stockholm County, Sweden, and in the historic province of Uppland. The inscription is signed by the runemaster Öpir.
Description
The inscription on U 541 consists of runic text in the younger futhark that is carved on a serpent that follows the edge of the stone, which is made of sandstone and is 1.45 meters in height, and then becomes entangled in the center. A cross is near the top of the inscription. It is classified as being carved in runestone style Pr5, which is also known as Urnes style. This runestone style is characterized by slim and stylized animals that are interwoven into tight patterns. The animal heads are typically seen in profile with slender almond-shaped eyes and upwardly curled appendages on the noses and the necks. This stone is considered to be an excellent representative of an inscription in style Pr5. The text indicates that the inscription was carved by the runemaster with the normalized name of Öpir, who was active in Uppland in the late 11th and early 12th centuries. The stone is not in its original position, but was noted as being part of the church during a survey of runestones in the 1800s. Before the historic significance of runestones was understood, they were often reused as materials in the construction of churches, walls, and roads. In 1887, the parishioners decided to extract U 541 and a second stone, U 540, from the church and, with financial help provided by the Royal Swedish Academy of Letters, History and Antiquities, both stones were removed and attached outside the church's northern wall.
The runic text does not follow the memorial formula typically used in runestones carved in the late Viking Age, but states "here lies" followed by the name Sigreifr or Særeifr, who was the brother of the unnamed sponsor of the stone. The use of "here lies" indicates that the stone originally stood over the grave of the deceased, perhaps in a consecrated graveyard since there is a cross on the inscription. It has been noted that the phrase "here lies" is a direct translation of the Latin phrase "HIC IACET" that was often used on medieval graves and followed by the name of the deceased. Another Viking Age runestone with an inscription that begins with this phrase is U 559 in Malsta. The inscription was signed by the runemaster Öpir using the Old Norse phrase en Øpiʀ risti runaʀ, which means "and Öpir carved the runes." This exact phrase was also used by Öpir when signing inscriptions on U 118 in Älvsunda, U 181 in Össeby-Garns, the now-lost U 262 in Fresta, U 287 in Vik, U 462 in Prästgården, and U 566 in Vällingsö.
Inscription
Runic text
Transliteration of the runes into Latin characters
iar likr ' serifr ' broþir ' þ-... ... in ' ybir risti ru-iʀ
Transcription into Old Norse
Hiar liggʀ Sigræifʀ/Særæifʀ, broðiʀ ... ... En |
https://en.wikipedia.org/wiki/Anita%20K.%20Jones | Anita Katherine Jones (born March 10, 1942) is an American computer scientist and former U.S. government official. She was Director, Defense Research and Engineering from 1993 to 1997.
Jones was elected a member of the National Academy of Engineering (1994) for contributions to the theory and implementation of software systems and for extensive public service.
Early life
Jones' father, a petroleum engineer, encouraged her to pursue a career that would make a difference in the world. He taught her to play chess, helped her on geometry problems, and on weekends took her and her younger brother fishing for catfish, red snapper, and trout on Galveston Bay. Jones' mother, who had trained as a ballerina and danced in several Hollywood films, taught her daughter a love of painting.
Born in Fort Worth, Texas and raised in Houston, Anita graduated as valedictorian of her high school class in 1960.
Education
Jones received an A.B. from Rice University in Mathematics in 1964, a Master of Arts in English Literature from the University of Texas, Austin, in 1968, and a Ph.D. in computer science from Carnegie Mellon University in 1973. While at Carnegie Mellon, she met her future husband, William A. Wulf.
Career
Jones remained at Carnegie Mellon as an assistant professor, with promotion to associate professor in 1978. With William A. Wulf, her husband, Jones was a founder and vice president of Tartan Laboratories, a compiler technology company, in 1981. The company was later sold to Texas Instruments.
She joined the faculty of the University of Virginia in 1989, but took leave in June 1993 to become
the Director of Defense Research and Engineering for the U.S. Department of Defense, a position in which she was responsible for the management of the science and technology program. Her responsibilities included the Defense Advanced Research Projects Agency and oversight of the Department of Defense laboratories, as well as being the principal advisor to the Secretary of Defense for defense-related scientific and technical matters. At the time, it was the highest technical job ever held by a woman in the Department of Defense. She returned to the University of Virginia in 1997. In the field of computer software systems and cyber-security, Dr. Jones has published more than 40 technical articles and two books.
Among other things, she gave the Defense Modeling and Simulation Office (DMSO) the task of “assuring interoperability and reusability of defense models and simulations" which led to DMSO formulating a vision for modeling and simulation and establishing a modeling and simulation masterplan, including the High Level Architecture.
In 2010 she officially retired but remains involved in the university and continues to mentor young women in technical fields.
She is on the Board of Trustees for In-Q-Tel which "is the not-for-profit strategic investor that accelerates the development and delivery of cutting-edge technologies to national security agencies."
|
https://en.wikipedia.org/wiki/List%20of%20biomedical%20cybernetics%20software | The following is a list of software packages and applications for biocybernetics research.
Data formats and specifications
Systems Biology Markup Language (SBML)
Biological Pathway Exchange (BioPAX)
CellML
Minimum Information About a Simulation Experiment (MIASE)
Minimum information required in the annotation of models (MIRIAM)
Systems Biology Ontology (SBO)
Systems Biology Graphical Notation (SBGN)
Libraries for software development
CyberUnits, a class library for computer simulations in life sciences
Software products
SimThyr – Simulation system for thyroid homeostasis
See also
List of sequence alignment software
List of open-source healthcare software
List of open-source bioinformatics software
List of proprietary bioinformatics software
List of freeware health software
List of molecular graphics systems
List of systems biology modeling software
Comparison of software for molecular mechanics modeling
BioLinux
Other collections
PhysioToolkit Software Index: PhysioNet's software collection
References
Biocybernetics
Biomedical cybernetics
Biomedical cybernetics
Systems biology |
https://en.wikipedia.org/wiki/Robert%20Hannigan | Robert Peter Hannigan CMG (born 1965) is a cybersecurity specialist who has been Warden of Wadham College, Oxford, since 2021. He was a senior British civil servant who previously served as the director of the signals intelligence and cryptography agency the Government Communications Headquarters (GCHQ) and established the UK's National Cyber Security Centre. His sudden resignation as director was announced on 23 January 2017, and he stepped down at the end of April 2017 to pursue a career in private sector cyber security, academia and as a security commentator. In 2021 he became Warden of Wadham College, Oxford.
Early and family life
Hannigan was born in Gloucestershire and brought up in Yorkshire. He studied classics at Wadham College, Oxford, and continued his education at Heythrop College, University of London. He is married with a son and a daughter.
Career
Northern Ireland Peace Process
After an early career in the private sector, Hannigan became Deputy Director of Communications for the Northern Ireland Office in 2000, Director of Communications for the Northern Ireland Office in 2001 and Associate Political Director for the Northern Ireland Office in 2004. He served as the Director-General, Political at the Northern Ireland Office from 2005, taking over from Jonathan Phillips.
Hannigan has not spoken of his role in the Northern Ireland peace process but he is the only British civil servant involved to be singled out in Tony Blair's autobiography, where Blair describes him as "a great young official who had taken over as the main Number 10 person [on Northern Ireland]" and cites him as an example of creativity. Hannigan appears regularly in other accounts, notably by Blair's Chief of Staff Jonathan Powell, attending private crisis meetings with Irish Republican leaders, including Gerry Adams and Martin McGuinness, at Stormont Castle and Clonard Monastery. Powell describes his key role in brokering agreement with Ian Paisley and the Democratic Unionist Party during and after the St Andrews Agreement talks. He is described as chairing the first meeting between the DUP and Sinn Féin and designed the diamond shaped table which brought Adams and Paisley together at a public meeting on 26 March 2007, which is widely regarded as marking the end of the Northern Ireland 'Troubles'.
Number 10 Downing St and Cabinet Office
In 2007, he was appointed to a new post of Prime Minister's Security Adviser in 10 Downing St, as well as replacing Sir Richard Mottram as the Head of Security, Intelligence and Resilience at the Cabinet Office, responsible for co-ordinating between the intelligence services and government, and acting as Accounting Officer for the Single Intelligence Account which funds MI5, MI6 and GCHQ. During his time in office, Hannigan led the review into the loss of the nation's child benefit data, a major data breach incident; the subsequent report is informally called the "Hannigan Report".
Hannigan moved to the Foreign and Common |
https://en.wikipedia.org/wiki/List%20of%20Douglas%20DC-3%20family%20variants | This is a list of variants of the Douglas DC-3 family of airliner and transport aircraft.
Production totals
Data from:
Civil DC-3 variants - 607
Military C-47 derivatives - 10,047
Licence production in the USSR - 4,937
Licence production in Japan - 487
Civil production
DST
Douglas Sleeper Transport, the initial variant with two Wright R-1820 Cyclone engines and standard sleeper accommodation for up to 16 with small upper windows, convertible to carry up to 24 day passengers.
DST-A
DST with Pratt & Whitney R-1830 Twin Wasp engines
DC-3
Main prewar production variant fitted with 21 passenger seats, two Wright R-1820 Cyclone engines
DC-3A
Improved DC-3 with two Pratt & Whitney R-1830 Twin Wasp radial piston engines.
DC-3B
Improved DC-3 with two Wright R-1820-G101 Cyclone or two Wright R-1820-G202A Cyclone engines.
Designation for ex-military C-47, C-53, and R4D aircraft rebuilt by Douglas Aircraft in 1946 and sold on the civil market.
DC-3D
Designation for 28 additional new aircraft built by Douglas in 1946 for civil airline operation using components from uncompleted USAAF C-117s.
DC-3S
Super DC-3, improved DC-3 with a new wing and tail, and powered by two Pratt & Whitney R-2000-D7 or Wright R-1820-C9HE Cyclone engines. The five examples were converted by Douglas between 1949 and 1950 from existing DC-3 and R4D airframes.
PS-84
Production of a 14-28 seat passenger airliner version in the USSR powered by two Shvetsov M-62 / Shvetsov ASh-62 engines. With a somewhat smaller span and higher empty weight, it was also equipped with lower-powered engines compared to the DC-3 and the cargo door was transposed to the right side of the fuselage.
Military designations for impressed civil aircraft
C-41A
A single DC-3A (40-070) modified as a VIP transport, powered by two 1,200 hp (895 kW) Pratt & Whitney R-1830-21 radial piston engines, used to fly the Secretary of War.
C-48
One former United Air Lines DC-3A impressed.
C-48A
Three impressed DC-3As with 18-seat interiors.
C-48B
Sixteen impressed former United Air Lines DST-As with 16-berth interior used as air ambulances.
C-48C
Sixteen impressed DC-3As with 21-seat interiors.
C-49
Various DC-3 and DST models, 138 impressed into service as C-49, C-49A, C-49B, C-49C, C-49D, C-49E, C-49F, C-49G, C-49H, C-49J, and C-49K.
C-50
Various DC-3 models, 14 impressed as C-50, C-50A, C-50B, C-50C, and C-50D.
C-51
One aircraft ordered by Canadian Colonial Airlines impressed into service, had starboard-side door.
C-52
DC-3A aircraft with R-1830 engines, five impressed as C-52, C-52A, C-52B, C-52C, and C-52D.
C-68
Two DC-3As impressed with 21-seat interiors.
C-84
1 impressed DC-3B aircraft.
R4D-2
Two Eastern Air Lines DC-3s impressed into USN service as VIP transports, later designated R4D-2F and later R4D-2Z.
R4D-4
Ten impressed DC-3s
R4D-4R
Seven impressed DC-3s as staff transports.
R4D-4Q
Radar countermeasures version of R4D-4.
Dakota II
RAF designation for impressed DC-3s
Military prod |
https://en.wikipedia.org/wiki/ThinkCentre%20Edge | The ThinkCentre Edge is a series of desktop computers from Lenovo, designed primarily for home offices and small businesses. The product series features desktops in both tower and All-in-One form factors, designed to save up to 70% desk space as compared to traditional tower desktop PCs.
The ThinkCentre Edge desktop series represents the first time the 'Edge' brand has been used for any Lenovo product outside of the ThinkPad product line. The first desktop in the series was the Edge 91z AIO, announced on May 16, 2011.
Design
According to Paul Scaini, the Segment Manager for the ThinkCentre product line, the ThinkCentre Edge desktops were the result of a large amount of time spent on refining the overall product appearance. The Edge 91z was described in the article as being the epitome of that effort, with its Infinity Glass design.
Scaini wrote that the Edge AIO desktops had the same serviceability and mounting features as the ThinkCentre M Series AIOs. They used second-generation Intel Core i desktop CPUs and Lenovo Enhanced Experience 2.0.
2014
ThinkCentre Edge 73
Up to 4th generation Intel Core i7 processor
Up to Windows 8 64-bit
Up to 2 TB HDD / Up to 128 GB SSD
Up to 16 GB memory
2013
ThinkCentre Edge 72
2011
Four desktops in the ThinkCentre Edge series were launched in 2011. These were:
ThinkCentre Edge 91z (AIO)
ThinkCentre Edge 91 (tower)
ThinkCentre Edge 71z (AIO)
ThinkCentre Edge 71 (tower)
ThinkCentre Edge 91z
The ThinkCentre Edge 91z AIO was summarized by PCMag as being a reasonably priced, powerful desktop with the capacity to "give the iMac a run for its place in a design studio." The Edge 91z was 2.5 inches thick, and was described as being "less flashy" than the IdeaCentre desktops and AIOs.
The Edge 91z was described as being simple with a seamless front and two removable feet that could be detached from the AIO. The space between the two feet was open and meant to store a keyboard. This was described as being different from the IdeaCentre B520 desktop, in which the keyboard storage was blocked by the speaker bar.
The display on offer with the Edge 91z AIO was a true 1080p HD. A drawback of the screen was the reflective glass front panel.
An optional DVD writer was available on the Edge 91z AIO. The AIO was reported by PCMag to be lacking in "would be nice features" such as eSATA ports, USB 3.0 ports, and HDMI-in.
The software on the Edge 91z AIO was reported to be a useful set, with the system free of unnecessary software. Software preinstalled on the AIO included Lenovo Rescue and Recovery and utilities for the DVD burner and the web camera.
In comparison with the Apple iMac 21.5 inch (Thunderbolt) the ThinkCentre Edge 91z was reported to be similar in terms of performance and specifications. The iMac was described as being slightly faster on 3D-related and everyday tasks, while the ThinkCentre Edge 91z was slightly faster on multimedia benchmarks. Both desktops contained similarly sized widescreens, AMD graph |
https://en.wikipedia.org/wiki/Canal%2B%20Family | Canal+ Family was a French TV channel devoted to the broadcast of family programming. It is part of the "Les Chaînes Canal+" and the "Famille" package from Canal+.
Canal+ Family had an African version, on channel 6 from Canal+ Afrique.
History
Canal+ Family was launched on 27 October 2007 as a complement to Canal+.
The channel began broadcasting in High Definition (HD) on 12 October 2010.
In October 2010, Canal+ SA applied to the CSA to obtain a frequency for the channel on the TNT but this application was rejected on 14 December in favor of the string CFoot.
On 30 August 2021, Canal+ Family closed in Metropolitan France, to be replaced by Canal+ Kids and Canal+ Docs on 9 September, focusing on on-demand content. However, Canal+ Family continued to broadcast in Overseas France until 9 September when it was also replaced by Canal+ Kids.
as of 2023 Canal+ Family is still available to watch in Africa and Poland
Organisation
Leadership
President and CEO of Canal+ SA: Bertrand Méheut
Director-General of programming: Rodolphe Belmer
Capital
Canal+ Family was published by Canal+ with a capital of 100,000,000 euros. It is 48.48% owned by Canal+ France, 6.17% from Amber Master Fund, 5.05% by the group Pathé, 4.92% by the Credit Suisse First Boston, 4.32% by Rothschild, 1.87% by Richelieu Finance, 1.08% by the Fund Deposit. The other shares are owned by the public.
Programming
The programming of Canal + Family consisted of family-oriented films, documentaries, series, and cartoons. Canal + Family does not broadcast advertising.
Final programming
Source:
Chi's Sweet Home
Gribouille
Grosha & Mr B.
I, Elvis Riboldi
Kaeloo
Les cahiers d'Esther
Little Vampire
Mush-Mush & the Mushables
Petit Poilu
Sardine de l'espace
Sweet Little Monsters
The Crumpets
The Treehouse Stories
Total DramaRama
Former programming
Action Dad (2012)
Agent Carter
Almost Naked Animals (2011)
Animaniacs
Arrow (season 1-2)
Au pays des Têtes à claques (Knuckleheads) (2012)
Bolts and Blip (2010)
Camp Lakebottom (2013)
Charlie's Angels (2011)
Chicken Town
Cloud Bread
Copy Cut (2013)
Cracked (2016)
Daniel Tiger's Neighborhood
Dance Academy
Doodleboo (2015)
Dragon Hunters
Endangered Species
Gasp!
Gaspard and Lisa (2017)
Gawayn
Go On, Tell Me A Story!
Gorg and Lala
H
Heartland
Hubert and Takako (2013)
Insectibles
Jamie's Got Tentacles
Justice League
Kika and Bob
Kofiko
La cabane à histoires
League of Super Evil
Life Unexpected
Ma petite séance
Merlin
Miru Miru (2016)
Molang (2015)
Monk Little Dog
Monster Buster Club
Monster Math Squad
My Knight and Me (2017)
My Life Me
Nerds and Monsters
Ninoo's Speaking (2013)
Numb Chucks
Oddbods (2016)
Oggy and the Cockroaches (Season 3, in 2008)
Peg + Cat
Petit Vampire
Pok & Mok
Polo
Pushing Daisies
Raising Hope
Raymond
Revenge
Rocket Monkeys
Sarah and Duck
Samurai Girl
Shazzam Super 2000
Spy
Stella and Sam (2012)
Stellina
Stoked
Suburgatory
Sweet Little Monsters
Tan |
https://en.wikipedia.org/wiki/Mobage | is a portal and social network for games, owned by DeNA. The service had 30 million users, who largely play on feature phones.
On February 14, 2011, DeNA announced renaming Mobage Town service name to Mobage, which also merged the Plus+ network operated by ngmoco under the new branding. Also that year, the service has been described as highly successful in academic research.
On December 19, 2014, ngmoco, LLC announced the renaming of Mobage to DeNA. However, the Japanese site still operates under the mobage name.
On August 9, 2018, the English version of the website was reportedly shut down for unknown reasons.
References
External links
Mobage page: English, Japanese
DeNA
Internet properties established in 2006
Online video game services
Japanese social networking websites |
https://en.wikipedia.org/wiki/Comparison%20of%20orbital%20rocket%20engines | This page is an incomplete list of orbital rocket engine data and specifications.
Current, Upcoming, and In-Development rocket engines
Retired and canceled rocket engines
See also
Comparison of orbital launch systems
Comparison of orbital launchers families
Comparison of crewed space vehicles
Comparison of space station cargo vehicles
Comparison of solid-fuelled orbital launch systems
List of space launch system designs
List of orbital launch systems
Notes
References
Spaceflight
Technological comparisons
Space lists
Rocket engines |
https://en.wikipedia.org/wiki/European%20Middleware%20Initiative | The European Middleware Initiative (EMI) is a computer software platform for high performance distributed computing. It is developed and distributed directly by the EMI project. It is the base for other grid middleware distributions used by scientific research communities and distributed computing infrastructures all over the world especially in Europe, South America and Asia. EMI supports broad scientific experiments and initiatives, such as the Worldwide LHC Computing Grid (for the Large Hadron Collider).
The EMI middleware is a cooperation among three general purpose grid platforms, the Advanced Resource Connector, gLite and UNICORE and the dCache storage software.
Purpose
The purpose of the EMI distribution is to consolidate, harmonize and support the original software platforms, evolve and extend them. Redundant or duplicate services resulting from the merging are deprecated, in favour of new services added to satisfy user requirements or specific consolidation needs, standardizing and developing common interfaces. These include the adoption of a common structure for accounting, resource information exchange or authentication and authorization.
Input for the development activities is taken from users, infrastructures projects, standardization initiatives or changing technological innovations. The software products will be adapted as necessary to comply with standard open-source guidelines to facilitate the integration in mainstream operating system distributions.
Collaborations
A cooperation with FutureGrid, a US distributed testbed for Clouds, Grids and high-performance computing, was announced in December 2011.
In January 2012, the EMI project formalized a partnership with the iMarine project to create an open data e-infrastructure for fisheries management and marine conservation.
Users
By 2008 the EMI software distribution provided most of the middleware components which support the execution and completion of the millions of computational jobs handled by the 350 centers of the European Grid Infrastructure and the tens of petabytes of data transfers occurring between the storage systems of those centers.
EMI middleware was used in the WLCG infrastructure which supports, for example, the search for the Higgs boson (the God Particle) and new types of matter searches of the physicists at LHC together with other research in astronomy, biology, computational chemistry and other sciences.
License
There is no common EMI license though all licenses used by EMI are open-source. Each product has a long history behind its own license. Most are Apache or BSD.
dCache products are released under the dCache Software License but they adopted the Affero General Public License from 1 January 2012.
Products
The EMI products (components of the release) can be grouped in four categories (areas): computing, data, security and infrastructure.
The first release of the software is composed of 56 products packaged for Scientific Linux 5 (32, 64bit).
Th |
https://en.wikipedia.org/wiki/Vithalwadi%20railway%20station | Vithalwadi is a railway station on the Central line of the Mumbai Suburban Railway network. It is on the Karjat route. Kalyan is the previous stop and Ulhasnagar is the next stop.
Gallery
References
Railway stations in Thane district
Mumbai Suburban Railway stations
Mumbai CR railway division
Transport in Kalyan-Dombivli
Kalyan-Lonavala rail line |
https://en.wikipedia.org/wiki/Ulhasnagar%20railway%20station | Ulhasnagar is an important railway station on the Central line of the Mumbai Suburban Railway network. It is a station for all Slow, Semifast and Fast trains on the Mumbai Suburban Railway system of Maharashtra State, in western India. It is located on the route between Vithalwadi and Ambarnath. Ulhasnagar Railway Station was built in the year 1955.
Gallery
References
Notes
Dionne Bunsha (17 December 2004). "The States:Ulhasnagar in a new role". The Hindu. Retrieved 24 May 2007.
"About Ulhasnagar, Introduction of Ulhasnagar, Ulhasnagar Profile". www.ulhasnagaronline.in. Retrieved 2016-01-09.
Sindhi conversions in Ulhasnagar raise a storm
Girish Kuber (2007-01-09). "Pappu's Ulhasnagar gambit may backfire". Economic Times. Retrieved 2007-05-24.
Yogesh Pawar (3 March 1999). "Three Ps rule Ulhas: Pelf, Politicians & Pappu.and his most trusted man shamsher ansari Ulhasnagar is mainly distributed in 5 areas namely ulhasnagar * 1,2,3,4 and 5". Indian Express. Retrieved 24 May 2007.
Ulhasnagar Railway Station Near Ramdev Apartment opp CHM College
Railway stations in Thane district
Ulhasnagar
Mumbai Suburban Railway stations
Mumbai CR railway division
Kalyan-Lonavala rail line |
https://en.wikipedia.org/wiki/Ali%20Sadeghian | Ali Sadeghian is a Persian-Swedish musician, singer, songwriter, and actor. He has been living in Sweden since 1984. He studied computer science at Örebro University and has been working as a system engineer since 1991.
Ali Sadeghian started playing music in 1985 with two instruments namely tonbak and daf. The following year, he began to learn how to play santur. A few years later, he began to learn piano and keyboard. For over 10 years, he worked with a music group called Iranian Tones in Sweden. During the same period of time, he also worked with a number of other music groups, ensembles and orchestras in Sweden as well as guest artists from abroad.
Career
To pursue his music career, Ali Sadeghian built his own studio where he started composing his own music and writing songs. In his artistic endeavors, he has collaborated with Akram Monfared Arya (author, poet, and painter), Mina Boyne (lyricist), and Faryal Shakibi (singer). Ali Sadeghian has held many concerts in a number of locations in Stockholm such as, the Stallet (a well-known concert house), Södrateater (trans., Söder Theatre), Kulturhuset (trans., The House of Culture), Stadshuset (trans., City Hall), several libraries such as, International Library, cultural centres, ABF (adult learning centre), various festivals, churches, and so forth. He has also held concerts in other cities across Sweden. While Ali Sadeghian has extensive experience playing Persian music as well as teaching courses in tonbak, daf, and santur, he is also skilled in playing Western music in various genres.
In spring 2012, Ali Sadeghian released his debut album called Reaching for the stars which contains 42 songs in different genres. As an artist, he has been featured in media in a variety of articles and interviews.
Ali Sadeghian is a member of Swedish Performing Rights Society STIM, Swedish Musicians’ Union Svenska Musikerförbundet (SMF), and Swedish Artists’ and Musicians’ Interest Organization SAMI.
Ali Sadeghian is also a model and an actor and has appeared in movies such as, Bibliotekstjuven, Hamilton: I nationens interesse, The Girl with the Dragon Tattoo, short films such as, Kärlek och Kaffébröd, “Gör det själv då”, music videos such as, Sadness is a blessing by Lykke Li, “Speedmarket Avenue-You Can’t follow” by Isak Klasson, “Sinner’s Heist” by Cantoreggi, “Queer At Heart” by Kristian Kaspersen,
and many Swedish TV commercials and TV programmes such as, “Hellenius Hörna“.
Between 2012 and 2015, Ali Sadeghian continued his artistic endeavors by producing more songs and composing more music pieces. Furthermore, as an actor, he played in the following television programs: Presskonferens-Komedi Sketch; Hotelräddaren; Svensk hjältar-Är du en vardagshjälte; Svensk hjältar-galan 2014, and television commercials such as ICA Reklam, and movies titled: Stockholm Stories; Blå ögon; and Så länge jag lever.
Ali Sadeghian also played in the music video “Tiger” in Steve Angello's music album “Wild Youth” which w |
https://en.wikipedia.org/wiki/XPL%20%28disambiguation%29 | XPL may refer to:
Computing
XPL, a dialect of the PL/I programming language, developed in 1967, used for the development of compilers for computer languages
XPL Protocol, an open protocol intended to permit the control and monitoring of home automation devices
XML Pipeline Language, a dataflow-oriented XML processing language
.xpl, a filename extension used for XProc script/pipeline
.xpl, a HDi playlist file extension
Places
XPL, an IATA code for Soto Cano Air Base
XPL, an ICAO code for Express Line Aircompany
Other
Spirit XPL, a Gibson Spirit guitar model
XPL, an abbreviation for cross-polarized light |
https://en.wikipedia.org/wiki/Traffic%20classification | Traffic classification is an automated process which categorises computer network traffic according to various parameters (for example, based on port number or protocol) into a number of traffic classes. Each resulting traffic class can be treated differently in order to differentiate the service implied for the data generator or consumer.
Typical uses
Packets are classified to be differently processed by the network scheduler. Upon classifying a traffic flow using a particular protocol, a predetermined policy can be applied to it and other flows to either guarantee a certain quality (as with VoIP or media streaming service) or to provide best-effort delivery. This may be applied at the ingress point (the point at which traffic enters the network, typically an edge device) with a granularity that allows traffic management mechanisms to separate traffic into individual flows and queue, police and shape them differently.
Classification methods
Classification is achieved by various means.
Port numbers
Fast
Low resource-consuming
Supported by many network devices
Does not implement the application-layer payload, so it does not compromise the users' privacy
Useful only for the applications and services, which use fixed port numbers
Easy to cheat by changing the port number in the system
Deep Packet Inspection
Inspects the actual payload of the packet
Detects the applications and services regardless of the port number, on which they operate
Slow
Requires a lot of processing power
Signatures must be kept up to date, as the applications change very frequently
Encryption makes this method impossible in many cases
Matching bit patterns of data to those of known protocols is a simple widely used technique. An example to match the BitTorrent protocol handshaking phase would be a check to see if a packet began with character 19 which was then followed by the 19-byte string 'BitTorrent protocol'.
A comprehensive comparison of various network traffic classifiers, which depend on Deep Packet Inspection (PACE, OpenDPI, 4 different configurations of L7-filter, NDPI, Libprotoident, and Cisco NBAR), is shown in the Independent Comparison of Popular DPI Tools for Traffic Classification.
Statistical classification
Relies on statistical analysis of attributes such as byte frequencies, packet sizes and packet inter-arrival times.
Very often uses Machine Learning Algorithms, as K-Means, Naive Bayes Filter, C4.5, C5.0, J48, or Random Forest
Fast technique (compared to deep packet inspection classification)
It can detect the class of yet unknown applications
Encrypted traffic classification
Nowadays the traffic is more complex, and more secure, for this, we need a method to classify the encrypted traffic in a different way than the classic mode (based on IP traffic analysis by probes in the core network). A form to achieve this is by using traffic descriptors from connection traces in the radio interface to perform the classification.
This same pr |
https://en.wikipedia.org/wiki/Longueuil%20Public%20Libraries%20Network | The Longueuil Public Libraries Network () is the public library system of Longueuil, Quebec, Canada.
Branches
There are 10 branches of the Longueul Public Libraries Network.
Bibliothèque Claude-Henri-Grignon – 1660 rue Bourassa, Le Vieux-Longueuil
Bibliothèque Fatima – 2130 rue Jean-Louis, Le Vieux-Longueuil
Bibliothèque Georges-Dor – 2760 chemin de Chambly, Le Vieux-Longueuil
Bibliothèque Hubert-Perron – 1100 rue Beauregard, Le Vieux-Longueuil
Bibliothèque Jacques-Ferron – 100 rue Saint-Laurent Ouest, Le Vieux-Longueuil
Bibliothèque Joseph-de-Sérigny – 1000 chemin du Lac, Le Vieux-Longueuil
Bibliothèque Joseph-William-Gendron – École Mgr-A.-M.-Parent 3875 Grande Allée, Saint-Hubert
Bibliothèque Raymond-Lévesque – 7025 boulevard Cousineau, Saint-Hubert
Bibliothèque Saint-Jean-Baptiste – 700 rue Duvernay, Le Vieux-Longueuil
Greenfield Park Library – 225 Empire Street, Greenfield Park
The Longueuil Public Libraries Network has a reciprocity agreement with Collège Édouard-Montpetit CEGEP, which grants library members access to Collège Édouard-Montpetit's library.
References
External links
bibliotheques.longueuil.ca
Buildings and structures in Longueuil
Education in Longueuil
Public libraries in Quebec
Culture of Longueuil |
https://en.wikipedia.org/wiki/The%20Sphere%20%28social%20network%29 | The-Sphere.com is a network for renting luxury properties. It was founded in December 2008 by David Manoukian.
Before being accepted, an applicant must be approved by a committee.
Members also receive a concierge service and international networking opportunities.
There are also offline meeting of members such as at The Global Gift Gala 2013.
In 2009, the website organized the “Par Coeur Gala” to benefit the Make-A-Wish Foundation hosted by Eva Longoria.
References
External links
French social networking websites
Internet properties established in 2008 |
https://en.wikipedia.org/wiki/David%20Manoukian | David J.L. Manoukian (January 10, 1975) is a French-Belgian-Armenian businessman. He is the founder, chairman, and chief executive officer of the luxury social network service The-Sphere.com. David Manoukian is the co-founder and chief executive officer of Realty Capital Partners which is a Company that invests in luxury real estate within niche markets such as Courchevel, Megève or Saint-Tropez.
Early life
After studying in Le Rosey in Switzerland and then the US in Boston, David Manoukian got his Bachelor of Business Administration from the Institut supérieur de gestion in Paris in 1997.
He went on to PricewaterhouseCoopers, the auditing and consulting firm where he worked first in the Audit division and then in the Corporate-Finance division in charge of mergers and acquisitions for 3 years.
Career
In 2000, he joined the family group Alain Manoukian as the International President and actively participated in the brand's expansion in Europe, Russia, the Middle East and Asia. It was also with the family company that he developed France's first textile E-commerce website. Before moving on to other horizons he oversaw the French ready-to-wear brand's acquisition by the American brand BCBG Max Azria and its subsequent growth in the United States.
With his family in 2007, he turned his attention to urban commercial real estate development projects as well as high-luxury residential real estate.
In 2008, he created a multimedia division exclusively dedicated to the Web and the first project was The Sphere.
Personal life
David Manoukian is married to Chantal Manoukian; a Lebanese-Armenian woman who is a lawyer who took her bar exam in Paris. They have two boys Raffi and Azad.
See also
The Sphere (social network)
List of social networking websites
References
1975 births
Armenian businesspeople
French people of Armenian descent
French chief executives
ISG Business School alumni
Technology company founders
French Internet celebrities
Belgian businesspeople
Living people
Chief operating officers
Alumni of Institut Le Rosey |
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