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The real value of your personal data - Docu - 2013
 
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The personal data that is being collected by internet companies has turned into a goldmine. The applications for this enormous mountain of data is endless, from health care uses to marketeers who can accurately predict your behavior. But who is making money from your data? And who owns your personal data? Original title: The value of your personal data. Personal data is being collected constantly. Smartphones send your location data, internet browsers store which websites you visited and credit card companies carefully register your buying patterns. One would say that all this personal data is being used to send you advertisements and banners. But that’s just the start. Your data is not only used to understand who you are right now, but also what your life will look like in the future, because that is where the big money is. Could we regain the control over our own personal data, so that we can share in the profits? Due to huge flow of information, one can tell who we are today and what we will do tomorrow. Can we get control of our own data? Information is collected and stored on your behalf. Via mobile phone and computer, every step you take is saved and analyzed. By companies like Google, Facebook, Apple and Twitter, among others. This precious personal data is not just saved. There are now new valuable uses for your data, giving your personal data the worth of gold. Data centers full of your personal data are the heart of what is called Big Data. A treasure of valuable new insights, derived from your location data, emails, photos, text messages, and more from your digital production. Because your personal data is not only used to send customized ads. Your data is used to predict your future behavior. Through smart analyzes of all your behavior that you leave behind on your mobile phone and computer, it’s easy to find out who you are. And that's not that hard, it turns out. For example, the University of Cambridge just by looking at which buttons you click on Facebook, can see if your parents are divorced, whether you are gay, and so on. Predicting human behavior, possible thanks to all your personal data, can help to design cities better, combat diseases and prevent wars. But if all of your personal data is so valuable, then shouldn’t it be time for you to get control of it? And also take part of that profit for yourself? Originally broadcasted by VPRO in 2013. © VPRO Backlight October 2013 On VPRO broadcast you will find nonfiction videos with English subtitles, French subtitles and Spanish subtitles, such as documentaries, short interviews and documentary series. VPRO Documentary publishes one new subtitled documentary about current affairs, finance, sustainability, climate change or politics every week. We research subjects like politics, world economy, society and science with experts and try to grasp the essence of prominent trends and developments. Subscribe to our channel for great, subtitled, recent documentaries. Visit additional youtube channels bij VPRO broadcast: VPRO Broadcast, all international VPRO programs: https://www.youtube.com/VPRObroadcast VPRO DOK, German only documentaries: https://www.youtube.com/channel/UCBi0VEPANmiT5zOoGvCi8Sg VPRO Metropolis, remarkable stories from all over the world: https://www.youtube.com/user/VPROmetropolis VPRO World Stories, the travel series of VPRO: https://www.youtube.com/VPROworldstories VPRO Extra, additional footage and one off's: https://www.youtube.com/channel/UCTLrhK07g6LP-JtT0VVE56A www.VPRObroadcast.com Credits: Directed by: Martijn Kieft Research: Marijntje Denters/ Jasper Koning/ Chris Vijn Production: Jenny Borger, Hellen Goossens Editors in chief: Henneke Hagen/ Frank Wiering English, French and Spanish subtitles: Ericsson. French and Spanish subtitles are co-funded by European Union.
Views: 84386 vpro documentary
Education: Student Data is the Price.
 
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Education "reform" is a business, with many hands reaching in for a piece of action. Many say the "reform" has nothing to do with education but more to do with corporate elitists directing global economies and profiting off children and taxpayer education dollars. Children are suffering. The "rigorous" reform of Common Core is unproven, the associated tests, not validated, not created or seen by teachers. Technology has advanced, bringing computers into the classroom. While technology can be powerful, the real time, all-the-time capturing of children's data is not regulated, not well understood and ripe for abuse, misuse and profit. Open data is a 3 TRILLION dollar a year industry and education is by far the most data-mineable and profitable. Corporations are gobbling up student data and there are no laws preventing them from selling your child's data. We ask you to stand up for children. Say no. Refuse the reform. Links and thanks: Pitch Perfect, http://www.imdb.com/title/tt1981677/ Bella's Final song https://www.youtube.com/watch?v=6nhvYBvw3yE 60 Minutes: The Data Brokers https://www.youtube.com/watch?v=_Cty7ctycsI Washington Post: Astonishing amount of data collected about your children https://www.washingtonpost.com/news/answer­sheet/wp/2015/11/12/the­astonishing- amount­of­data­being­collected­about­your­children/ Fortune : How Business Got Schooled Exxon Mobil, GE, Intel, and others pushed for the education standards http://fortune.com/common­core­standards/ Race to the Top $4 Billion Common Core Competing Principles­ not state led and not just standards http://tinyurl.com/gn95egz US Dept Labor WorkForce Data Quality Individual student tracking via SLDS http://tinyurl.com/pt24mb8 Why Corporations Want our Public Schools http://www.yesmagazine.org/issues/education- uprising/why­corporations­want­our­public­schools Top Ed­Tech Trends of 2015: The Business of Ed­Tech http://hackeducation.com/2015/12/23/trends­business/ Data Badges, Competency Based Ed, Corporate Reform http://educationalchemy.com/2015/10/30/common­core­and­corporate­colonization­the­big- picture/ Global Education Future: 2035 Agenda ­Tom Vander Ark http://tinyurl.com/jsfjt4j Mark Zuckerberg's Personalized Learning and Makin it Rain http://emilytalmage.com/2015/12/06/on­personalized­learning­mark­zuckerberg­and­makin- it­rain/ Google FTC complaint spying on children more than just chrome books https://www.eff.org/deeplinks/2015/12/googles­student­tracking­isnt­limited­chrome­sync Microsoft, others peek at student email. http://tinyurl.com/zpk8xyt Microsoft's Commitment to data privacy questioned http://www.edweek.org/ew/articles/2015/10/14/microsofts­commitment­to­data­privacy- questioned.html A day in the life a data mined kid. Market Place http://www.marketplace.org/topics/education/learningcurve/day­life­data­mined­kid White House Datapalooza­Knewton millions of data points per day- https://www.youtube.com/watch?v=Lr7Z7ysDluQ&feature=youtu.be Grooming students for a lifetime of surveillance https://modelviewculture.com/pieces/grooming­students­for­a­lifetime­of­surveillance Student data collection is out of control http://www.nytimes.com/roomfordebate/2014/09/24/protecting­student­privacy­in­online- learning/student­data­collection­is­out­of­control US Dept of Ed: Promoting Grit, Tenacity, and Perseverance: Critical Factors for Success in the 21st Century ­ page 62 http://tinyurl.com/zqgrcq8 US Dept of Ed: Enhancing Teaching through Data Mining http://tinyurl.com/jggvm6n Page 1 of 2 Page 2 of 2 The end of data poverty: competency based learning ­ data collection­ Tom VanderArk http://gettingsmart.com/2015/05/the­end­of­the­big­test­moving­to­competency­based- policy/ The IMS is partnered with the federal administration's Learning Registry—from K- Workforce (Learning Registry is part of Dept of Defense, funded with race to the top money). Their platform is based on Competency­Based Education and data badges. IMS Global Announces Initiative to Establish Digital Badges as Common Currency for K­20 and Corporate Education http://www.imsglobal.org/pressreleases/pr150421.html Federal CEDS database https://ceds.ed.gov/elements.aspx State SLDS database http://tinyurl.com/j7grk48 for more on Common Core, PARCC, data http://tinyurl.com/jb5d55b for slide show and handouts on data privacy: http://safesoundstudents.wix.com/data Page 2 of 2 1 of 2 Data Corp reform references.rtf Open with
Views: 1073 data data data mine
Content Analysis
 
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Let's go on a journey and learn how to perform a content analysis!
Views: 91395 ChrisFlipp
Educational Technology: Crash Course Computer Science #39
 
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Today we’re going to go a little meta and talk about how computer science can support learning with educational technology. We here at Crash Course are big fans of interactive in-class learning and hands-on experiences, but we also believe in the additive power of educational technology inside and outside the classroom from the Internet itself and Massive Open Online Courses, or MOOCs to AI driven intelligent tutoring systems and virtual reality. Produced in collaboration with PBS Digital Studios: http://youtube.com/pbsdigitalstudios Want to know more about Carrie Anne? https://about.me/carrieannephilbin The Latest from PBS Digital Studios: https://www.youtube.com/playlist?list=PL1mtdjDVOoOqJzeaJAV15Tq0tZ1vKj7ZV Want to find Crash Course elsewhere on the internet? Facebook - https://www.facebook.com/YouTubeCrash... Twitter - http://www.twitter.com/TheCrashCourse Tumblr - http://thecrashcourse.tumblr.com Support Crash Course on Patreon: http://patreon.com/crashcourse CC Kids: http://www.youtube.com/crashcoursekids
Views: 74928 CrashCourse
PubMed Hub app provides comprehensive data search for scientific research
 
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PubMed is a free search engine accessing primarily the MEDLINE database of references and abstracts on life sciences and biomedical topics. Thousands of scientists across the world uses “PubMed” to read the scientific literature on computers. One of the limitation was not able to read on mobile application properly. An iOS app has been launched recently, which allows users to save their searches, add to favorites, share articles to email or social media, also add your own published articles to your profile and more. PubMed Hub app provides comprehensive data search scientific research. -Easy search, favoriting articles and browsing history at fingertip -search with any words in the search bar to get the scientific articles with author names and abstract. If full text available which will be shown in the app if not available, which can be re-directed to publishing journal. -You can also send feedback for new features -Sharing articles in social media You can download the app from here https://itunes.apple.com/us/app/pubmed-hub/id1222331895? Follow us to know more about latest updates https://researchstash.com/ http://www.facebook.com/ResearchStash https://www.linkedin.com/company/ResearchStash http://www.twitter.com/ResearchStash https://plus.google.com/b/107946969366529047069/+Researchstash http://instagram.com/researchstash
Views: 133 Research Stash
Rick Astley - Never Gonna Give You Up (Video)
 
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Rick Astley - Never Gonna Give You Up (Official Music Video) - Listen On Spotify: http://smarturl.it/AstleySpotify Learn more about the brand new album ‘Beautiful Life’: https://RickAstley.lnk.to/BeautifulLifeND Buy On iTunes: http://smarturl.it/AstleyGHiTunes Amazon: http://smarturl.it/AstleyGHAmazon Follow Rick Astley Website: http://www.rickastley.co.uk/ Twitter: https://twitter.com/rickastley Facebook: https://www.facebook.com/RickAstley/ Instagram: https://www.instagram.com/officialric... Lyrics We're no strangers to love You know the rules and so do I A full commitment's what I'm thinking of You wouldn't get this from any other guy I just wanna tell you how I'm feeling Gotta make you understand Never gonna give you up Never gonna let you down Never gonna run around and desert you Never gonna make you cry Never gonna say goodbye Never gonna tell a lie and hurt you We've known each other for so long Your heart's been aching, but You're too shy to say it Inside, we both know what's been going on We know the game and we're gonna play it And if you ask me how I'm feeling Don't tell me you're too blind to see Never gonna give you up Never gonna let you down Never gonna run around and desert you Never gonna make you cry Never gonna say goodbye Never gonna tell a lie and hurt you Never gonna give you up Never gonna let you down Never gonna run around and desert you Never gonna make you cry Never gonna say goodbye Never gonna tell a lie and hurt you (Ooh, give you up) (Ooh, give you up) Never gonna give, never gonna give (Give you up) Never gonna give, never gonna give (Give you up) We've known each other for so long Your heart's been aching, but You're too shy to say it Inside, we both know what's been going on We know the game and we're gonna play it I just wanna tell you how I'm feeling Gotta make you understand Never gonna give you up Never gonna let you down Never gonna run around and desert you Never gonna make you cry Never gonna say goodbye Never gonna tell a lie and hurt you Never gonna give you up Never gonna let you down Never gonna run around and desert you Never gonna make you cry Never gonna say goodbye Never gonna tell a lie and hurt you Never gonna give you up Never gonna let you down Never gonna run around and desert you Never gonna make you cry Never gonna say goodbye Never gonna tell a lie and hurt you"
Views: 499034984 RickAstleyVEVO
DeepWalk: Turning Graphs Into Features via Network Embeddings
 
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Dr. Steven Skiena, Stony Brook University Michael Hunger, Neo4j Random walk algorithms help better model real-world scenarios, and when applied to graphs, can significantly improve machine learning. Learn how the Deepwalk supervised learning algorithm transfers deep learning techniques from natural language processing to network analysis, and explore the motivations behind graph-enhanced machine learning. #MachineLearning #DeepWalk #NLP
Views: 417 Neo4j
Big Data will impact every part of your life | Charlie Stryker | TEDxFultonStreet
 
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This talk was given at a local TEDx event, produced independently of the TED Conferences. 2,500,000,000,000,000,000 bytes of data (2.5 exabytes) every day is what we currently generate. The mid-decade turning point we are now experiencing is an unprecedented ability to process these data, to generate insights. These insights, gleaned from new data processing techniques, can impact how we shop, how we find jobs, dating, and even how doctors diagnose illnesses. Dr. Charles W. Stryker is the Founder and President of a professional advisory firm, Venture Development Center, Inc. (VDC), and he has been recently recognized as the Data Innovator of the Year 2013. His business has a focused practice of assisting “Big Data” firms in creating, developing and commercializing Information Services properties. He has served on the board of a number of both public and private companies. His current board appointments include: Avention, Data Mentors, Datamyx, Geoscape, Innography, Jobvite, NetFactor, Netwise, RDC, The Retail Equation, Triton Technologies, and V12. Dr. Stryker has received the BS and MS degrees in Electrical Engineering and the Ph.D. in Computer Science from New York University. He has been an active speaker and author on the topic of database product development. In addition to these academic credentials, from 1991 to 1999 Dr. Stryker was a part time faculty member at the University of Pennsylvania, Wharton School where he taught a number of courses in its Entrepreneurial Center. About TEDx, x = independently organized event In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)
Views: 128271 TEDx Talks
The Future of Computational Journalism
 
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Data science and algorithms are reshaping how the news is discovered and reported At a recent event bringing together voices from the School of Engineering and the School of Humanities and Sciences, two Stanford professors engaged in a moderated discussion about the evolving field of computational journalism. Jay Hamilton, the Hearst Professor of Communication and director of the Journalism Program, and Maneesh Agrawala, professor of computer science and director of the Brown Institute for Media Innovation, shared their complementary perspectives on the many questions facing journalism today and where they might lead tomorrow. The conversation centered on how converging social currents and disruptive technologies have roiled newsrooms on the local, national and international levels. Computational journalism, Hamilton said, can refer to the set of tools that journalists use to discover, tell or distribute stories. But it’s also “reporting by, through and about algorithms.” The Associated Press, for example, writes about 4,000 stories by algorithm each time companies’ quarterly earnings reports come out — a massive increase from the 300 or so companies that can be covered by human reporters. In addition to such computer-assisted reporting, Agrawala spoke about how computers can be used to synthesize audio and video stories and create visualizations that provide critical context for data. The two professors also spoke about the great need for journalists to find ways to hold algorithms — like the ones that curate our newsfeeds or influence public policies — accountable. “One of the questions that we face as a society is understanding some of the algorithms that are delivering information to us,” Agrawala said. Hamilton agreed, adding that the biggest problem he sees facing journalism right now are the stories that get missed due to the collapse of the business models of local newspapers. “If you look across the country, there are city councils that don’t have a reporter covering them, there are school boards voting and making decisions and nobody is watching. So I think that’s something where computational journalism can really make an impact,” he said. “If you have a strong interest in engineering and data, try to help us figure out the stories that go untold, especially at the local level.”
mod01lec02
 
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Views: 8903 Data Mining - IITKGP
business 101 everything you need to know about business and startup basics
 
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business 101: everything you need to know about business and startup basics. Learn the foundation concepts underlying all businesses, small to large. a video tutorial that covers all the basics, explaining concepts such as business goals, stakeholders, profits, and various types of businesses. Outlines what you need to think about if you were to start your own business, such as determining what your product or service will be, making and delivering your product or service, and funding your business.
Qualitative and Quantitative research in hindi  | HMI series
 
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For full course:https://goo.gl/J9Fgo7 HMI notes form : https://goo.gl/forms/W81y9DtAJGModoZF3 Topic wise: HMI(human machine interaction):https://goo.gl/bdZVyu 3 level of processing:https://goo.gl/YDyj1K Fundamental principle of interaction:https://goo.gl/xCqzoL Norman Seven stages of action : https://goo.gl/vdrVFC Human Centric Design : https://goo.gl/Pfikhf Goal directed Design : https://goo.gl/yUtifk Qualitative and Quantitative research:https://goo.gl/a3izUE Interview Techniques for Qualitative Research :https://goo.gl/AYQHhF Gestalt Principles : https://goo.gl/Jto36p GUI ( Graphical user interface ) Full concept : https://goo.gl/2oWqgN Advantages and Disadvantages of Graphical System (GUI) : https://goo.gl/HxiSjR Design an KIOSK:https://goo.gl/Z1eizX Design mobile app and portal sum:https://goo.gl/6nF3UK whatsapp: 7038604912
Views: 46997 Last moment tuitions
Facebook CEO Mark Zuckerberg testifies before Congress on data scandal
 
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Facebook CEO Mark Zuckerberg will testify today before a U.S. congressional hearing about the use of Facebook data to target voters in the 2016 election. Zuckerberg is expected to offer a public apology after revelations that Cambridge Analytica, a data-mining firm affiliated with Donald Trump's presidential campaign, gathered personal information about 87 million users to try to influence elections. »»» Subscribe to CBC News to watch more videos: http://bit.ly/1RreYWS Connect with CBC News Online: For breaking news, video, audio and in-depth coverage: http://bit.ly/1Z0m6iX Find CBC News on Facebook: http://bit.ly/1WjG36m Follow CBC News on Twitter: http://bit.ly/1sA5P9H For breaking news on Twitter: http://bit.ly/1WjDyks Follow CBC News on Instagram: http://bit.ly/1Z0iE7O Download the CBC News app for iOS: http://apple.co/25mpsUz Download the CBC News app for Android: http://bit.ly/1XxuozZ »»»»»»»»»»»»»»»»»» For more than 75 years, CBC News has been the source Canadians turn to, to keep them informed about their communities, their country and their world. Through regional and national programming on multiple platforms, including CBC Television, CBC News Network, CBC Radio, CBCNews.ca, mobile and on-demand, CBC News and its internationally recognized team of award-winning journalists deliver the breaking stories, the issues, the analyses and the personalities that matter to Canadians.
Views: 127786 CBC News
The Facebook Dilemma, Part Two (full film) | FRONTLINE
 
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FRONTLINE investigates a series of warnings to Facebook as it grew into a global empire. Subscribe on YouTube: http://bit.ly/1BycsJW A series of mounting crises at Facebook, from the company’s failure to protect users’ data, to the proliferation of “fake news” and disinformation, have raised the question: How has Facebook’s historic success brought about real-world harm? Twitter: https://twitter.com/frontlinepbs Facebook: https://www.facebook.com/frontline Google+: https://plus.google.com/+frontline/posts FRONTLINE is streaming more than 200 documentaries online, for free, here: http://to.pbs.org/hxRvQP Funding for FRONTLINE is provided through the support of PBS viewers and by the Corporation for Public Broadcasting. Major funding for FRONTLINE is provided by the John D. and Catherine T. MacArthur Foundation and the Ford Foundation. Additional funding is provided by the Abrams Foundation, the Park Foundation, The John and Helen Glessner Family Trust, and the FRONTLINE Journalism Fund with major support from Jon and Jo Ann Hagler on behalf of the Jon L. Hagler Foundation.
Views: 100563 FRONTLINE PBS | Official
Ever wonder how Bitcoin (and other cryptocurrencies) actually work?
 
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Bitcoin explained from the viewpoint of inventing your own cryptocurrency. Videos like these made possible by patreon: https://patreon.com/3blue1brown Protocol Labs: https://protocol.ai/ Interested in contributing? https://protocol.ai/join/ Special thanks to the following patrons: http://3b1b.co/btc-thanks Some people have asked if this channel accepts contributions in cryptocurrency form as an alternative to Patreon. As you might guess, the answer is yes :). Here are the relevant addresses: ETH: 0x88Fd7a2e9e0E616a5610B8BE5d5090DC6Bd55c25 BTC: 1DV4dhXEVhGELmDnRppADyMcyZgGHnCNJ BCH: qrr82t07zzq5uqgek422s8wwf953jj25c53lqctlnw LTC: LNPY2HEWv8igGckwKrYPbh9yD28XH3sm32 Supplement video: https://youtu.be/S9JGmA5_unY Music by Vincent Rubinetti: https://soundcloud.com/vincerubinetti/heartbeat Here are a few other resources I'd recommend: Original Bitcoin paper: https://bitcoin.org/bitcoin.pdf Block explorer: https://blockexplorer.com/ Blog post by Michael Nielsen: https://goo.gl/BW1RV3 (This is particularly good for understanding the details of what transactions look like, which is something this video did not cover) Video by CuriousInventor: https://youtu.be/Lx9zgZCMqXE Video by Anders Brownworth: https://youtu.be/_160oMzblY8 Ethereum white paper: https://goo.gl/XXZddT Music by Vince Rubinetti: https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown ------------------ 3blue1brown is a channel about animating math, in all senses of the word animate. And you know the drill with YouTube, if you want to stay posted on new videos, subscribe, and click the bell to receive notifications (if you're into that). If you are new to this channel and want to see more, a good place to start is this playlist: http://3b1b.co/recommended Various social media stuffs: Website: https://www.3blue1brown.com Twitter: https://twitter.com/3Blue1Brown Patreon: https://patreon.com/3blue1brown Facebook: https://www.facebook.com/3blue1brown Reddit: https://www.reddit.com/r/3Blue1Brown
Views: 2261697 3Blue1Brown
Career Lunch & Learn:  Getting Started in Data Science - the MIT Way
 
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Would you like to transition into the booming field of data science? But, every time you look there's a new technique to learn, a new MOOC to view, a new machine learning library to master, or even a new programming language to grok. You just read a data science job description that left you more confused than ever before—the job reads like a laundry list of buzzwords and statistical techniques that you're vaguely familiar with, and at worst have never heard of. You’re wondering who actually knows all this stuff and whether you “really” need to learn it all to get the job. You're obviously smart, you went to MIT after all, just how complicated does this need to be?! What if you could cut through the buzzword hula-hoop-jumping, and rubbish, and simply ace the process of getting a data science job? In this webinar, you will learn: • What a data scientist does • Key industry terms • Your preferences in the field • How to develop a job search action plan • What hiring managers want After this session, you will never again look at a data science job posting and wonder how to get that interview. You’ll be able to complete your career transition without sweating the small stuff and be happily using your brain to extract great insights and value from data. Presented by: Sebastian Gutierrez, SB '03 For more information on MIT Alumni Association Career Lunch & Learns, visit http://bit.ly/1RgKP0Y
Interview With Former Watchtower Writer & Researcher (subtítulos en español)
 
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On this episode, I speak with Ben who is a former JW elder, regular pioneer, convention speaker, and Watchtower and Awake! magazine writer and researcher for the Watchtower organization. He explains his history in the religion, some incredible insights into how the religion's magazine articles are written, and what led to his departure. Ben's email: [email protected] ENTREVISTA CON UN EX-REDACTOR Y INVESTIGADOR PARA LA SOCIEDAD WATCHTOWER En este episodio, hablo con Ben que era testigo de Jehová, anciano, y precursor regular que también daba discursos en las asambleas regionales (de distrito). Además, era redactor y investigador de las revistas Atalaya y Despertad! para la sociedad Watchtower. Él explica su historia dentro de la religión, detalles sobre la manera en que se escriben los artículos de las revistas, y el motivo por lo que él dejó a la religión. Además de este, los siguientes videos míos ya tienen subtítulos en español: https://www.youtube.com/watch?v=PLt9h_-XJkM&t=1893s https://www.youtube.com/watch?v=rWAzElyJaFg&t=339s También, tengo estos videos en español: https://www.youtube.com/watch?v=gjXC5Z6W2K8&t=928s https://www.youtube.com/watch?v=80ZXC4d5-fU&t=1459s https://www.youtube.com/watch?v=_rzdAwVaW5M&t=3182s https://www.youtube.com/watch?v=s66Yurm4SNQ&t=14s https://www.youtube.com/watch?v=V7UtklPNxw4&t=41s https://www.youtube.com/watch?v=iXYmUEkCCXM&t=1558s
Views: 42479 ExJW Fifth
M83 'Midnight City' Official video
 
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M83's seventh studio album 'Junk' is out now: http://m83.it/buyjunkYo Watch the rest of the Trilogy here: https://www.youtube.com/watch?v=DJQQrjVmQG0&list=PL7CZ4TImzrFlTqI5l09Az8modBIkqkwFB&index=2 Directed by Fleur & Manu, this video is a tribute to Village of the Damned, Close encounters of the Third kind and other Akiras. No kids where hurt in the process! Executive production by Division (C) 2011 M83 Recording Inc. Under exclusive license to Mute for North America and to Naïve for the rest of the world
Views: 233324891 M83
Facebook CEO Mark Zuckerberg testifies on data scandal for a 2nd day before Congress
 
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Facebook CEO Mark Zuckerberg faces a second a day of testimony in front of the House energy and commerce committee amid concerns over privacy on the social media site. It was revealed Facebook shared the information of 87 million users with data giant Cambridge Analytica. To read more: http://cbc.ca/ »»» Subscribe to CBC News to watch more videos: http://bit.ly/1RreYWS Connect with CBC News Online: For breaking news, video, audio and in-depth coverage: http://bit.ly/1Z0m6iX Find CBC News on Facebook: http://bit.ly/1WjG36m Follow CBC News on Twitter: http://bit.ly/1sA5P9H For breaking news on Twitter: http://bit.ly/1WjDyks Follow CBC News on Instagram: http://bit.ly/1Z0iE7O Download the CBC News app for iOS: http://apple.co/25mpsUz Download the CBC News app for Android: http://bit.ly/1XxuozZ »»»»»»»»»»»»»»»»»» For more than 75 years, CBC News has been the source Canadians turn to, to keep them informed about their communities, their country and their world. Through regional and national programming on multiple platforms, including CBC Television, CBC News Network, CBC Radio, CBCNews.ca, mobile and on-demand, CBC News and its internationally recognized team of award-winning journalists deliver the breaking stories, the issues, the analyses and the personalities that matter to Canadians.
Views: 17946 CBC News
What is CONCOLIC TESTING? What does CONCOLIC TESTING mean? CONCOLIC TESTING meaning & explanation
 
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What is CONCOLIC TESTING? What does CONCOLIC TESTING mean? CONCOLIC TESTING meaning - CONCOLIC TESTING definition - CONCOLIC TESTING explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ Concolic testing (a portmanteau of concrete and symbolic) is a hybrid software verification technique that performs symbolic execution, a classical technique that treats program variables as symbolic variables, along a concrete execution (testing on particular inputs) path. Symbolic execution is used in conjunction with an automated theorem prover or constraint solver based on constraint logic programming to generate new concrete inputs (test cases) with the aim of maximizing code coverage. Its main focus is finding bugs in real-world software, rather than demonstrating program correctness. A description and discussion of the concept was introduced in "DART: Directed Automated Random Testing" by Patrice Godefroid, Nils Klurland, and Koushik Sen. The paper "CUTE: A concolic unit testing engine for C", by Koushik Sen, Darko Marinov, and Gul Agha, further extended the idea to data structures, and first coined the term concolic testing. Another tool, called EGT (renamed to EXE and later improved and renamed to KLEE), based on similar ideas was independently developed by Cristian Cadar and Dawson Engler in 2005, and published in 2005 and 2006. PathCrawler first proposed to perform symbolic execution along a concrete execution path, but unlike concolic testing PathCrawler does not simplify complex symbolic constraints using concrete values. These tools (DART and CUTE, EXE) applied concolic testing to unit testing of C programs and concolic testing was originally conceived as a white box improvement upon established random testing methodologies. The technique was later generalized to testing multithreaded Java programs with jCUTE, and unit testing programs from their executable codes (tool OSMOSE). It was also combined with fuzz testing and extended to detect exploitable security issues in large-scale x86 binaries by Microsoft Research's SAGE. The concolic approach is also applicable to model checking. In a concolic model checker, the model checker traverses states of the model representing the software being checked, while storing both a concrete state and a symbolic state. The symbolic state is used for checking properties on the software, while the concrete state is used to avoid reaching unreachable state. One such tool is ExpliSAT by Sharon Barner, Cindy Eisner, Ziv Glazberg, Daniel Kroening and Ishai Rabinovitz.
Views: 406 The Audiopedia
The NSA Is Handing Your Data to the DEA and Covering It Up
 
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"A secretive U.S. Drug Enforcement Administration unit is funneling information from intelligence intercepts, wiretaps, informants and a massive database of telephone records to authorities across the nation to help them launch criminal investigations of Americans."* Remember when we were told that NSA wiretapping and data mining wouldn't be used against innocent Americans domestically? Wrong. Reuters unrooted a program in which NSA surveillance data is being shared domestically with the DEA, as long as where the information came from is covered up. Cenk Uygur breaks it down. *Read more from Reuters: http://www.reuters.com/article/2013/08/05/us-dea-sod-idUSBRE97409R20130805 Support The Young Turks by Subscribing http://www.youtube.com/user/theyoungturks Like Us on Facebook: Follow Us on Twitter: http://www.twitter.com/theyoungturks Support TYT for FREE by doing your Amazon shopping through this link (bookmark it!) http://www.amazon.com/?tag=theyoungturks-20 Buy TYT Merch: http://theyoungturks.spreadshirt.com/ Support The Young Turks by becoming a member of TYT Nation at http://www.tytnetwork.com/member-options/. Your membership supports the day to day operations and is vital for our continued success and growth. In exchange, we provided members only bonuses! We tape a special Post Game show Mon-Thurs and you get access to the entire live show at your convenience in video, audio and podcast formats.
Views: 34574 The Young Turks
Fracking explained: opportunity or danger
 
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Fracking explained in five minutes. Fracking is a controversial topic. On the one side the gas drilling companies, on the other citizen opposed to this drilling method. Politicians are also divided on the matter. We try to take a neutral look on fracking. It is relevant for all of us, because of high prices for energy and the danger for our drinking water. This video focuses mostly on the debate currently ongoing in europe. In a lot of european countries there is a public outcry against fracking, espacially in germany. But the facts in this video are relevant to all of us. Short videos, explaining things. For example Evolution, the Universe, Stock Market or controversial topics like Fracking. Because we love science. We would love to interact more with you, our viewers to figure out what topics you want to see. If you have a suggestion for future videos or feedback, drop us a line! :) We're a bunch of Information designers from munich, visit us on facebook or behance to say hi! https://www.facebook.com/Kurzgesagt https://www.behance.net/kurzgesagt Fracking explained: opportunity or danger Help us caption & translate this video! http://www.youtube.com/timedtext_cs_panel?c=UCsXVk37bltHxD1rDPwtNM8Q&tab=2
Andreas Weigend interviewed at Strata Jumpstart 2011
 
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Andreas Weigend (PhD Physics 1991, Stanford University; Diplom Physik, Philosophie 1986, Universitaet Bonn) is an Associate Professor of Information Systems at the Stern School of Business, New York University. He came to Stern from the University of Colorado at Boulder where he had founded the Time Series Analysis Group, after working at Xerox PARC (Palo Alto Research Center) on knowledge discovery. At the Santa Fe Institute, he co-directed the Time Series Prediction Competition that led to the volume Time Series Prediction: Forecasting the Future and Understanding the Past (1994, Addison Wesley). His research focuses on basic methodologies for modeling and extracting knowledge from data and their application across different disciplines. He develops and integrates ideas and analytical tools from statistics and information theory with neural networks and other machine learning paradigms. His approach, basic science on real problems, emphasizes the importance of rigorous evaluations of new methods in data mining. His recent work uses computational intelligence to extract and understand hidden states in financial markets, and to exploit this information to improve density predictions. He has published about one hundred articles in scientific journals, books and conference proceedings. He co-edited four books including Decision Technologies for Financial Engineering (1998, World Scientific). Prof. Weigend received a Research Initiation Award by the National Science Foundation (NSF), a major grant by the Air Force Office of Scientific Research (AFOSR), a Junior Faculty Development Award by the University of Colorado and a NYU Curricular Development Challenge Grant for his innovative course Data Mining in Finance. This course covers the foundations of knowledge discovery, data mining, prediction and nonlinear modeling, as well as specific techniques including neural networks, graphical models, evolutionary programming and clustering techniques. It develops solutions to current problems in finance and includes integrated in-depth projects with major Wall Street firms. Prof. Weigend organized the sixth international conference Computational Finance that took place at Stern on January 6-8, 1999, drawing more than 300 attendees. He has given tutorials and short executive courses on time series analysis, volatility prediction, nonlinear modeling, risk management and decision making under uncertainty and consulted for a broad spectrum of firms ranging from financial boutiques to Goldman Sachs, J. P. Morgan, Morgan Stanley and Nikko Securities.
Views: 491 O'Reilly
Tenses | Basic English Grammar in Hindi (all 12 parts of tenses)explanation in hindi by Sanjeev sir
 
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I Recommend this book for practice :- http://amzn.to/2gzNYiG (affiliate) FOR ANY QUERY ABOUT RULES AND METHOD whatsapp [email protected] mail me @ [email protected] follow me on [email protected]://www.facebook.com/be.banker.1 follow me on [email protected] follow me on :- instagram https://www.instagram.com/be_banker/?hl=en --------------------------------------------------------------------------------------------------------- -------------------------------------------------------------------------------------------------------- FOR MORE IMPORTANT VIDEOS: (1) VEDIC MULTIPLICTION ⇒ https://www.youtube.com/watch?v=hQmEg37eZw0 (2)VEDIC MULTIPLICTION ⇒https://www.youtube.com/watch?v=pw4o0EyX7OI (3)VEDIC MULTIPLICTION ⇒https://www.youtube.com/watch?v=_4LqeC3nFKQ (4))VEDIC MULTIPLICTION ⇒https://www.youtube.com/watch?v=jv-KDCzcJ_Y (5)SQUARE ROOT IN 3 SECOND⇒https://www.youtube.com/watch?v=10Hl6TWglmk (6)CUBE ROOT IN 5 SECOND⇒https://www.youtube.com/watch?v=jZrL32TetgU (7)5 TIPS TO BE BANK PO⇒https://www.youtube.com/watch?v=GNZAUswpVm4 -------------------------------------------------------------------------------------------------------- ----------------------------------------------------------------------------------------------------------- BE BANKER:-https://www.youtube.com/c/bebanker THIS CHANNEL IS ALL ABOUT STUDY, THAT IS FOR BANK AND OTHER SIMILAR COMPETITIVE EXAMS ,WHICH MIGHT HELP TO SCHOOL GOERS,COLLEGE GOERS AND ONE WHO WANTS TO LEARN... THIS CHANNEL PROVIDES TIPS, TRICKS, STRATEGIES AND OTHER STUDY STUFFS ... SO BE WITH BE BANKER :) ----------------------------------------------------------------------------------------------------------- ----------------------------------------------------------------------------------------------------------- --------------------------------------------------------------------------------------------------------------IT is an initiative by BY SANJEEV SIR to assist students who cannot afford costly coaching or require some more time to understand the concept taught in huge size class rooms. Students who are preparing for Government Jobs SSC, Banking, IBPS, SBI, Clerical, Probationary Officer, PO, RRB, Railways, Apprentice, LIC, FCI, Army, Airforce, AFCAT, NDA, CDS, MBA Entrance Exams , CAT, XAT , IIFT, IRMA, NMAT, MHCET, CMAT, MAT, ATMA, BBA, CLAT, LSAT, HOTEL MANAGEMENT, NTSE, OLYMPIADS, MCA, NIMCET, HTET, CTET , IIT, JEE have access to Qualitative and Comprehensive Video Sessions of on Quantitative Aptitude ( Maths), Reasoning ( Verbal and Nonverbal), English ( Grammar, Vocabulary, Comprehension etc ) General Knowledge, Data Interpretation, Data Analysis, Data Sufficiency, Current Affairs FREE OF COST on this channel.
Views: 5786696 BE BANKER
What is BIOLOGICAL NETWORK INFERENCE? What does BIOLOGICAL NETWORK INFERENCE mean?
 
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What is BIOLOGICAL NETWORK INFERENCE? What does BIOLOGICAL NETWORK INFERENCE mean? BIOLOGICAL NETWORK INFERENCE meaning - BIOLOGICAL NETWORK INFERENCE definition - BIOLOGICAL NETWORK INFERENCE explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. Biological network inference is the process of making inferences and predictions about biological networks. In a topological sense, a network is a set of nodes and a set of directed or undirected edges between the nodes. Many types of biological networks exist, including transcriptional, signalling and metabolic. Few such networks are known in anything approaching their complete structure, even in the simplest bacteria. Still less is known on the parameters governing the behavior of such networks over time, how the networks at different levels in a cell interact, and how to predict the complete state description of a eukaryotic cell or bacterial organism at a given point in the future. Systems biology, in this sense, is still in its infancy. There is great interest in network medicine for the modelling biological systems. This article focuses on a necessary prerequisite to dynamic modeling of a network: inference of the topology, that is, prediction of the "wiring diagram" of the network. More specifically, we focus here on inference of biological network structure using the growing sets of high-throughput expression data for genes, proteins, and metabolites. Briefly, methods using high-throughput data for inference of regulatory networks rely on searching for patterns of partial correlation or conditional probabilities that indicate causal influence. Such patterns of partial correlations found in the high-throughput data, possibly combined with other supplemental data on the genes or proteins in the proposed networks, or combined with other information on the organism, form the basis upon which such algorithms work. Such algorithms can be of use in inferring the topology of any network where the change in state of one node can affect the state of other nodes. Genes are the nodes and the edges are directed. A gene serves as the source of a direct regulatory edge to a target gene by producing an RNA or protein molecule that functions as a transcriptional activator or inhibitor of the target gene. If the gene is an activator, then it is the source of a positive regulatory connection; if an inhibitor, then it is the source of a negative regulatory connection. Computational algorithms take as primary input data measurements of mRNA expression levels of the genes under consideration for inclusion in the network, returning an estimate of the network topology. Such algorithms are typically based on linearity, independence or normality assumptions, which must be verified on a case-by-case basis. Clustering or some form of statistical classification is typically employed to perform an initial organization of the high-throughput mRNA expression values derived from microarray experiments, in particular to select sets of genes as candidates for network nodes. The question then arises: how can the clustering or classification results be connected to the underlying biology? Such results can be useful for pattern classification – for example, to classify subtypes of cancer, or to predict differential responses to a drug (pharmacogenomics).
Views: 85 The Audiopedia
TRUNEWS 4/29/15: GENERAL KEVIN RYAN & CLINT JENKIN
 
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WWW.TRUNEWS.COM TRUNEWS WITH RICK WILES (TRUNEWS Radio Broadcast) SPECIAL GUEST: GENERAL KEVIN RYAN & CLINT JENKIN What was really said in a closed-door meeting in Germany last month between retired American and Russian military and intelligence officers? Did Vlad Putin send a message that he is prepared to use nuclear weapons to defend Russia from NATO’s encroachment on Russia’s border? Rick talks with retired Brig. General Kevin Ryan, Director of the Defense and Intelligence Project at Harvard Kennedy School’s Belfer Center for Science and International Affairs. General Ryan organized the meeting and attended. In Part 2, Barna Research Vice President Dr. Clint Jenkin shares with Rick the results of a religious survey of Millennials that shows that a surprising number of them believe Jesus Christ committed sins. GENERAL KEVIN RYAN •Director, Defense and Intelligence Project, Belfer Center for Science and International Affairs •Member, The US-Russia Initiative to Prevent Nuclear Terrorism •Board Member, Belfer Center for Science and International Affairs Brigadier General Kevin Ryan (U.S. Army retired) is Director, Defense and Intelligence Projects at Harvard Kennedy School’s Belfer Center for Science and International Affairs. A career military officer, he served in air and missile defense, intelligence, and political-military policy areas. From 1995 to 1996, he was head of the Moscow office of the POW/MIA Commission, searching for missing Americans in the former Soviet states. From 1998 to 2000, he served as Senior Regional Director for Slavic States in the Office of Secretary of Defense and, from 2001 to 2003, as Defense Attaché to Russia. He also served as Chief of Staff for the Army's Space and Missile Defense Command, an organization with diverse missions that include deployment of missile defenses, cyber assets, satellite management and research in areas like directed energy. He has commanded at every level from platoon to brigade and served in Europe, Korea, and Iraq. In his last duty assignment he was responsible for Army Strategic War Plans, Policy, and International Affairs and coordinated Army policy in the domestic interagency and with foreign allies. Ryan holds a Bachelor of Science degree from the U.S. Military Academy, a Master’s degree in Russian Language and Literature from Syracuse University and, a Master’s degree in National Security Strategy from the National War College. Ryan has been a fellow at Harvard Kennedy School's Shorenstein Center on Press, Politics and Public Policy and was Vice President for Business Development at iRobot Corporation. He is a member of the Board of the American Councils for International Education (ACTR/ACCELS) and a member of the Belfer Center Board of Directors. He is a member of the Kennedy School’s MPA Admissions Committee. Ryan was the founding director of the center's U.S.-Russia Initiative to Prevent Nuclear Terrorism, where he continues to facilitate U.S.-Russian cooperation and lead the “Elbe Group.” He was previously Executive Director for Research of the Belfer Center from 2010 to 2013. He is the author of over 20 articles and book chapters on various leadership and security topics. He and his wife Kathryn have five children. In November 2013, Ryan was appointed as Civilian Aide to the Secretary of the Army, in the State of Massachusetts. Main Areas of Expertise: •U.S.-Russian Security Relations – Fluent in Russian. Served as Senior Defense Attaché in Moscow from 2001 to 2003. Participated in U.S.-Russian negotiations and cooperation. •Missile Defense – Served as Chief of Staff of U.S. Army Space and Missile Defense Command and 29+ years in U.S. Army as Air Defense Officer. •Unmanned Ground Systems – Former Vice President for Business Development of iRobot Corporation's Government Division. Concentrated in unmanned ground systems for military and industrial applications. •Military Intelligence – Served in multiple intelligence assignments. This is General Ryan’s first appearance on TRUNEWS with Rick Wiles CLINT JENKIN https://www.barna.org/about/clint-jenkin#.VUE7oSFVhBd Clint Jenkin, Ph.D. is Vice President of Research for Barna Group. For more than 10 years, he has designed and conducted research for academic, government, and nonprofit organizations. Clint earned his doctorate in social psychology at the University of New Hampshire, where he was a graduate fellow of the Department of Homeland Security. In this role, he pioneered a number of research techniques to understand public attitudes about terrorism. After graduate school Dr. Jenkin turned down the CIA to join the marketing research team at Focus on the Family, where he eventually became Director of Research and Insights. At Focus, he designed and conducted a range of research projects, including immersive ethnography, focus groups, video-jo
Views: 2460 TruNews
LIVE - Why cant we see the Apollo sites from Earth with Marc D'Antonio - replay
 
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Our 1st live steam where looked at a subject I covered before about 15 months ago, of Why can't we see the Apollo sites from Earth but this time with the help of astronomer Marc D'Antonio in more detail with viewer questions. Timestamped Sections Marc D'Antonio 0:34 Main topic start 2:15 Q&A start 28:04 Marc's Battleship Office 1:22:59 Marc's 3D printed Crators 1:27:00 Mutual UFO network 1:30:35 Our guest speaker is Marc Dantonio www.fxmodels.com SkyTour LiveStream with Marc Dantonio on YouTube link: https://www.youtube.com/channel/UCKy1byNPZrXLwd82TB6RPqQ? www.mufon.com SkyTour Radio on KGRA with Marc Dantonio http://kgraradio.com/skytour-radio/ Thanks to our chat moderators Andy Munzer Rebecca Kelly Roy OSOC Intro music by Mike G Mullen, BMI, www.positrosmic.com Images : LROC, NASA Some links to items in the show A working out of the maths to resolve an image the size of the LM from Hubble and Earth http://curious.astro.cornell.edu/disclaimer/45-our-solar-system/the-moon/the-moon-landings/122-are-there-telescopes-that-can-see-the-flag-and-lunar-rover-on-the-moon-beginner Hubble Shots of the Moon http://hubblesite.org/image/796/news_release/1999-14 Apollo 11 as seen from the LRO https://www.nasa.gov/mission_pages/LRO/news/apollo-11.html LRO Quick Map target.lroc.asu.edu/da/qmap.html Another good reference why we cant see the apollo sites http://www.science20.com/robert_walker/why_we_cant_use_hubble_to_see_the_lunar_lander_how_could_we_see_it_in_high_resolution-225243
Views: 43434 Curious Droid
Brain connectivity estimators - Video Learning - WizScience.com
 
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"Brain connectivity estimators" represent patterns of links in the brain. Connectivity can be considered at different levels of the brain's organisation: from neurons, to neural assemblies and brain structures. Brain connectivity involves different concepts such as: neuroanatomical or structural connectivity , functional connectivity and effective connectivity . Neuroanatomical connectivity is inherently difficult to define given the fact that at the microscopic scale of neurons, new synaptic connections or elimination of existing ones are formed dynamically and are largely dependent on the function executed, but may be considered as pathways extending over regions of the brain, which are in accordance with general anatomical knowledge. DTI can be used to provide such information. The distinction between functional and effective connectivity is not always sharp; sometimes causal or directed connectivity is called functional connectivity. Functional connectivity, may be defined as the temporal correlation among the activity of different neural assemblies, whereas effective connectivity may be defined as the direct or indirect influence that one neural system exerts over another. Some brain connectivity estimators evaluate connectivity from brain activity time series such as Electroencephalography , Local field potential or spike trains, with an impact on the directed connectivity. These estimators can be applied to fMRI data, if the required image sequences are available. Among estimators of connectivity, there are linear and non-linear, bivariate and multivariate measures. Certain estimators also indicate directionality. Different methods of connectivity estimation vary in their effectiveness. This article provides an overview of these measures, with an emphasis on the most effective methods. Wiz Science™ is "the" learning channel for children and all ages. SUBSCRIBE TODAY Disclaimer: This video is for your information only. The author or publisher does not guarantee the accuracy of the content presented in this video. USE AT YOUR OWN RISK. Background Music: "The Place Inside" by Silent Partner (royalty-free) from YouTube Audio Library. This video uses material/images from https://en.wikipedia.org/wiki/Brain+connectivity+estimators, which is released under Creative Commons Attribution-Share-Alike License 3.0 http://creativecommons.org/licenses/by-sa/3.0/ . This video is licensed under Creative Commons Attribution-Share-Alike License 3.0 http://creativecommons.org/licenses/by-sa/3.0/ . To reuse/adapt the content in your own work, you must comply with the license terms.
Views: 121 Wiz Science™
What is WIND TURBINE PROGNOSTICS? What does WIND TURBINE PROGNOSTICS mean?
 
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What is WIND TURBINE PROGNOSTICS? What does WIND TURBINE PROGNOSTICS mean? WIND TURBINE PROGNOSTICS meaning - WIND TURBINE PROGNOSTICS definition - WIND TURBINE PROGNOSTICS explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ The growing demand for renewable energy has spurred global adoption and expansion of wind turbine technology. To increase energy capacity for existing and future wind farm projects, prognostics and health management (PHM) techniques are considered as a critical approach, whose functionality to diagnose and prognose system degradation and failure is capable to enhance reliability and reduce downtime. The Center for Intelligent Maintenance Systems (IMS) established a framework to compute a Global Health Estimator (GHE) to assess real-time turbine performance, and a Local Damage Estimator (LDE), to identify component-level defects. GHE can be generated from a wind turbine SCADA (Supervisory Control and Data Acquisition) system, by interpreings turbine performance as its capability to generate power under dynamic environmental conditions. Wind speed, wind direction, pitch angle and othera parameters are first selected as input. Then two key parameters in characterizing wind power generation, wind speed and actual power output, collected while turbine is known to work under nominal healthy condition are used to establish a baseline model. When real-time data arrives, same parameters are used to model current performance. GHE is obtained by computing the distance between the new data and its baseline model. By trending the GHE over time, performance prediction can be made when unit revenue will drop below a predetermined break-even threshold. Maintenance should be triggered and directed to components with low LDE values. LDE is computed based on measurements from condition monitoring system (CMS) and SCADA, and is used to locate and diagnose incipient failure at component level. Machine learning is also used by collecting and analyzing massive amounts of data such as vibration, temperature, power and others from thousands of wind turbines several times per second to predict and prevent failures. Performance assessment based on GHE is validated with a case study from an onshore wind turbine with 26 months of data. The results show a degrading trend of GHE that lead to major turbine downtime periods before which predictive maintenance could be made. Drive train prognostics is validated with SCADA and CMS data from an offshore turbine. A Wind Turbine Health Monitoring System based on SCADA and CMS data is shown at the WindturbinePHM.com website. Additional discussion on the uses of wind farm SCADA data for predictive maintenance and performance improvement can be found on the SCADA Miner website.
Views: 69 The Audiopedia
SolarMap: Multifaceted Visual Analytics for Topic Exploration (IEEE ICDM 2011)
 
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Documents in rich text corpora often contain multiple facets of information. For example, an article from a medical document collection might consist of multifaceted information about symptoms, treatments, causes, diagnoses, prognoses, and preventions. Thus, documents in the collection may have different relations across each of these various facets. Topic analysis and exploration for such multi-relational corpora is a challenging visual analytic task. This paper presents SolarMap, a multifaceted visual analytic technique for visually exploring topics in multi-relational data. SolarMap simultaneously visualizes the topic distribution of the underly- ing entities from one facet together with keyword distributions that convey the semantic definition of each cluster along a secondary facet. SolarMap combines several visual techniques including 1) topic contour clusters and interactive multifaceted keyword topic rings, 2) a global layout optimization algorithm that aligns each topic cluster with its corresponding keywords, and 3) 2) an optimal temporal network segmentation and layout method that renders temporal evolution of clusters. Finally, the paper concludes with two case studies and quantitative user evaluation which show the power of the SolarMap technique. More Details at: http://nancao.org/projects/solarmap.html (c) nancao.org, 2014
Views: 82 Nan Cao
MATLAB Thesis in Chandigarh| GUI 1
 
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THESIS WORK ON MATLAB| THESIS IN CHANDIGARH| M TECH THESIS| PHD THESIS IN CHANDIGARH Thhis lecture is on MATLAB GUI introduction. Please like, subscribe and share my video. www.thesisworkchd.com THESIS WORK ON MATLAB We provide thesis assistance and guidance in Chandigarh with full thesis help and readymade M.Tech thesis writing in MATLAB with full documentation in Chandigarh , Delhi, Haryana, Punjab, Jalandhar, Mohali, Panchkula, Ludiana, Amritsar and nearby area’s M.Tech. students by providing a platform for knowledge sharing between our expert team. Some of the important areas in which we provide thesis assistance presently have been listed below: BIOMEDICAL BASED PROJECTS: 1. AUTOMATIC DETECTION OF GLAUCOMA IN FUNDUS IMAGES. 2. DETECTION OF BRAIN TUMOR USING MATLAB 3. LUNG CANCER DIAGNOSIS MODEL USING BNI. 4. ELECTROCARDIOGRAM (ECG) SIMULATIONN USNG MATLAB FACE RECOGNITION: 5. FACE DETECTION USING GABOR FEATURE EXTRACTION & NEURAL NETWORK 6. FACE RECOGNITION HISTOGRAM PROCESSED GUI 7. FACE RECOGNITION USING KEKRE TRANSFORM FINGERPRINT RECOGNITION: 8. MINUTIAE BASED FINGERPRINT RECOGNITION. 9. FINGERPRINT RECOGNITION USING NEURAL NETWORK RECOGNITION/ EXTRACTION/ SEGMENTATION/WATERMARKING: 10. ENGLISH CHARACTER RECOGNITION USING NEURAL NETWORK 11. NUMBER RECOGNITION USING IMAGE PROCESSING 12. CHECK NUMBER READER USING IMAGE PROCESSING 13. DETECTION OF COLOUR OF VEHICLES. 14. SEGMENTATION & EXTRACTION OF IMAGES, TEXTS, NUMBERS, OBJECTS. 15. SHAPE RECOGNITION USING MATLAB IN THE CONTEXT OF IMAGE PROCESSING 16. RETINAL BLOOD VESSEL EXTRACTION USING MATLAB 17. RECONGITION AND LOCATING A TARGET FROM A GIVEN IMAGE. 18. PHASE BASED TEMPLATE MATCHING 19. A DETECTION OF COLOUR FROM AN INPUT IMAGE 20. CAESAR CIPHER ENCRYPTION-DECRIPTION 21. IMAGE SEGMENTATION - MULTISCALE ENERGY-BASED LEVEL SETS 22. THE IMAGE MEASUREMENT TOOL USING MATLAB 23. A DIGITAL VIDEO WATERMARKING TECHNIQUE BASED ON IDENTICAL FRAME EXTRACTION IN 3-LEVEL DWT (ALSO FOR 5-LEVEL DWT) 25. RELATED TO STEGANOGRAPHY AND CRYPTOGRAPHY 26. RELATED TO THE ALL TYPES OF WATERMARKING TECHNIQUES A. TEXT WATERMARKING B. IMAGE WATERMARKING C. VIDEO WATERMARKING D. COMBINATION OF TEXT AND IMAGE WITH KEY 27. OFFLINE SIGNATURE RECOGNITION USING NEURAL NETWORKS APPROACH 28. FRUIT RECOGNITAION RELATED PROJECTS 29. VESSEL SEGMENTATION AND TRACKING 30. PROPOSED SYSTEM FOR DATA HIDING USING CRYPTOGRAPHY AND STEGANOGRAPHY 31. BASED ON IMAGE COMPRESSION ALGORITHM USING DIFFERENT TECHNIQUES 32. GRAYSCALE IMAGE DIGITAL WATERMARKING TECHNOLOGY BASED ON WAVELET ANALYSIS 33. CONTENT-BASED IMAGE RETRIEVAL 34. IMAGE PROCESSING BASED INTELLIGENT TRAFFIC CONTROLLER 35. MORPHOLOGY APPROACH IN IMAGE PROCESSING And many more……….. http://www.thesisworkchd.com/
Views: 102 Pushpraj Kaushik
Realtime IT project training at free of cost
 
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You can get an opportunity to work in a realtime IT project training at free of cost. In this training you will learn from your office or home, I will be at my office and the work will be done in cloud and the client will be at USA. This kind realtime projects would be available for the freelance consultants very often. But when you be involved in one or two, you can also start apply the same strategies which I am applying to get contracts from different countries. Knowledge is power | No idea is crazy. Connecting with coaches like Raj Punarvasi may trigger your mind to get the brilliant ideas with which you can become an ultra performer & ultra rich in all the directions. Subscribe today!!! Raj Punarvasi is an international trainer, coach. He delivers training programs on different software courses and in Life coaching. He has trained and helped people in more than 50 countries. He has authored more than 800 articles and recorded nearly 850 videos. His coaching method is mostly practically oriented. You can learn anything faster with his guidance. You can watch great videos every week. If you don't want to miss Raj Punarvasi's videos, subscribe today... Special discounted links for students: Video editing course: https://www.instamojo.com/punarvasi/video-editing-course-using-camtasia-studio-8/?discount=off2000 SAP Basis course: https://www.instamojo.com/punarvasi/sap-basis-training-videos-22-hours/?discount=off4999 Website designing course: https://www.instamojo.com/punarvasi/video-training-on-wordpress-39-videos-by-raj/?discount=off1500 No More Conflicts In Your Life: https://www.instamojo.com/punarvasi/no-more-conflicts-in-your-life-6-sessions-vi/?discount=offer3500 Phobia dissolution technique: https://www.instamojo.com/punarvasi/a-process-to-god-of-any-kind-of-phobia-on-yo/?discount=off3500 You can watch more than 600 videos at free of cost on Life skills and other human related problems in my channel Raj Punarvasi. To make use of all the situations that happen in your life, you need to have some kind of spontaneous shift in your thoughts in right direction to either record a video or to write a book. You can also join a session on 'Thought Management System' to equip the skills that are essential to change your mind spontaneously under any kind of bad or good situations for ultra levels of performance. You can apply a certain process within yourself, just by following the steps as directed by Raj Punarvasi to witness the best results in your actions. If want to watch more and more videos on Thought Management System or Life skills, subscribe to this channel. You can share these videos in your circle. The action of your share would become a great contribution to the society from your end. Best Regards Raj Punarvasi - Software & Life coach Punarvasi Technologies Knowledge is Power Website: http://www.punarvasi.com/ Digital download store for Indian Payment gateways: http://www.instamojo.com/punarvasi Digital download store for International Payment gateways: http://www.gumroad.com/punarvasi FaceBook: https://www.facebook.com/punarvasi LinkedIn: https://www.linkedin.com/in/punarvasi If you want to be in touch with the trainer directly, you can contact Mr. Raj Punarvasi through his mail at [email protected]
Views: 268 Raj Punarvasi
Inside the NSA: An Evening with General Michael Hayden
 
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After the attacks, at the request of the White House, Hayden intensified and expanded NSA wiretapping operations of various communications between Americans and terrorist suspects abroad in hopes of detecting and preventing another terrorist attack. These initial efforts were executed without a court order and after being revealed by The New York Times, were subsequently placed under judicial review. Over time, the NSA’s efforts grew into the multidimensional programs exposed by Edward Snowden, including the collection and storage of phone and email metadata covering billions of calls and messages between American citizens. In conversation with Amy Zegart, General Hayden provides an insider’s account about the origins and development of the NSA programs. He discusses the directives and mechanisms to control them, and the disagreements within the Bush administration about the extent of the wiretapping. He offers his views on the justification, legal status, scale, and effectiveness of the NSA monitoring.
Views: 20869 Stanford
What is BITMAP INDEX? What does BITMAP INDEX mean? BITMAP INDEX meaning & explanation
 
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What is BITMAP INDEX? What does BITMAP INDEX mean? BITMAP INDEX meaning - BITMAP INDEX definition - BITMAP INDEX explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ A bitmap index is a special kind of database index that uses bitmaps. Bitmap indexes have traditionally been considered to work well for low-cardinality columns, which have a modest number of distinct values, either absolutely, or relative to the number of records that contain the data. The extreme case of low cardinality is Boolean data (e.g., does a resident in a city have internet access?), which has two values, True and False. Bitmap indexes use bit arrays (commonly called bitmaps) and answer queries by performing bitwise logical operations on these bitmaps. Bitmap indexes have a significant space and performance advantage over other structures for query of such data. Their drawback is they are less efficient than the traditional B-tree indexes for columns whose data is frequently updated: consequently, they are more often employed in read-only systems that are specialized for fast query - e.g., data warehouses, and generally unsuitable for online transaction processing applications. Some researchers argue that bitmap indexes are also useful for moderate or even high-cardinality data (e.g., unique-valued data) which is accessed in a read-only manner, and queries access multiple bitmap-indexed columns using the AND, OR or XOR operators extensively. Bitmap indexes are also useful in data warehousing applications for joining a large fact table to smaller dimension tables such as those arranged in a star schema. Bitmap based representation can also be used for representing a data structure which is labeled and directed attributed multigraph, used for queries in graph databases.Efficient graph management based on bitmap indices article shows how bitmap index representation can be used to manage large dataset(billions of data points) and answer queries related to graph efficiently. Basic bitmap indexes use one bitmap for each distinct value. It is possible to reduce the number of bitmaps used by using a different encoding method. For example, it is possible to encode C distinct values using log(C) bitmaps with binary encoding. This reduces the number of bitmaps, further saving space, but to answer any query, most of the bitmaps have to be accessed. This makes it potentially not as effective as scanning a vertical projection of the base data, also known as a materialized view or projection index. Finding the optimal encoding method that balances (arbitrary) query performance, index size and index maintenance remains a challenge. Without considering compression, Chan and Ioannidis analyzed a class of multi-component encoding methods and came to the conclusion that two-component encoding sits at the kink of the performance vs. index size curve and therefore represents the best trade-off between index size and query performance. For high-cardinality columns, it is useful to bin the values, where each bin covers multiple values and build the bitmaps to represent the values in each bin. This approach reduces the number of bitmaps used regardless of encoding method. However, binned indexes can only answer some queries without examining the base data. For example, if a bin covers the range from 0.1 to 0.2, then when the user asks for all values less than 0.15, all rows that fall in the bin are possible hits and have to be checked to verify whether they are actually less than 0.15. The process of checking the base data is known as the candidate check. In most cases, the time used by the candidate check is significantly longer than the time needed to work with the bitmap index. Therefore, binned indexes exhibit irregular performance. They can be very fast for some queries, but much slower if the query does not exactly match a bin.
Views: 2250 The Audiopedia
Seduction: How the Media and Politicians Manipulate You.
 
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Michael Cross, author of the Freedom from Conscience" book series and host of UCY-TV's "Unlock the Door" discusses the main ways that the mainstream media and politicians manipulate the masses and shows how their strategies are not unlike a worker in a strip bar who plays with the lusts and emotions of patrons in order to make money. The topic connects the book "Freedom from Conscience - Descent into Darkness" in which a young state legislator must go undercover as a sex worker and stripper to find out who has threatened her and her family after she deals with the plight of women caught up in sex trafficking. While there she learns that seducing an audience in a bar and in the game of politics is not that much different. And in reality the media and politicians ultimately do their best to gain your trust so they can sell you products or agendas. To find out more about the "Freedom from Conscience" book series please visit: http://finest.se/jasmincroft/ and for articles on how psychology is used to manipulate the masses today please visit: http://michaelcross.net/
Views: 398 Michael Cross
What is SERVER IMMERSION COOLING? What does SERVER IMMERSION COOLING mean?
 
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What is SERVER IMMERSION COOLING? What does SERVER IMMERSION COOLING mean? SERVER IMMERSION COOLING meaning - SERVER IMMERSION COOLING definition - SERVER IMMERSION COOLING explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ Server immersion cooling is a computer cooling practice by which computer components or servers are submerged in a thermally but not electrically conductive liquid. The coolant liquid is commonly a mineral-based oil with dielectric properties. Server immersion cooling has the potential of becoming a popular server cooling solution for green data centers, as it allows them to drastically reduce their Power Usage Effectiveness (PUE). Multiple relevant brands like Intel and Facebook have already validated the advantages of submerging servers. Servers and other IT hardware cooled by immersion cooling don’t require fans, thus these are removed together with any thermal paste to avoid it from dissolving in the oil. The oils used in immersion cooling usually operate at temperatures between 35 to 50 °C (95 to 122 °F), this allows data centers to use much more efficient evaporative or adiabatic cooling towers instead of chiller-based air cooling. Current commercial applications for immersion cooling range from data center oriented solutions for commodity server cooling, server clusters, HPCC applications and Bitcoin Mining. Although still rarely used for cooling of IT hardware, the usage of mineral or vegetable-based oil for cooling large power distribution components such as transformers and industrial machinery is a common practice since the beginning of the 1900s Some extreme density supercomputers such as the Cray-2 (released in 1985) and Cray T90 (released in 1995) used large liquid-to-chilled liquid heat exchangers and single or two-phase immersion cooling oils for heat removal Open or semi-open bath immersion cooling is a data center cooling technique that implies fully submerging servers in dielectric coolant fluid. Its called open or semi-open bath because servers are placed side-by-side in large tanks that assimilate bath tubs. These baths operate at atmospheric pressure and allow the coolant fluid to be pumped through the hardware components or servers submerged in it. Open Bath Immersion Cooling uses single-phase oils. These oils always remain in liquid state while operating. They never boil or freeze. The oil is usually pumped to a heat exchanger where its cooled thanks to heat exchange with a cooler water-circuit. This technique uses “open baths“, as there’s little (or no) risk of the coolant evaporating. In semi-open bath Immersion Cooling, two-phase oil is the working fluid. It literally boils thanks to its low boiling point and thus exists in both a liquid and gas phase. The system takes advantage of a concept known as “latent heat” which is the heat (thermal energy) required to change the phase of a fluid (in this case two-phase dielectric mineral oil). The oil is only cooled by boiling and thus remains at the boiling point (“saturation temperature”). Energy transferred from the servers into the two-phase oil will cause a portion of it to boil off into a gas (this is the second phase of the oil). The gas rises above the liquid oil level where it contacts a condenser which is cooler than the saturation temperature. This causes the vapoured oil to condense back into a liquid form and fall (rain) back into the bath. The term "semi-open bath" means, that when the system operates, its sealed to avoid the evaporation or the coolant. A different approach to open or semi-open bath immersion cooling are sealed server immersion cooling solutions, where servers are specially built in an oil-tight casing. Dielectric oil is pumped inside each server to collect heat from the components. The heat is then taken to a backplane in the rack which is cooled by a water circuit. The main advantage of this approach is that servers don't require to be placed in horizontal baths. The main disadvantage is that not any hardware can be used as the vendor defines the hardware specs of the sealed servers.
Views: 294 The Audiopedia
Nuclear density gauge
 
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A nuclear density gauge is a tool used in civil construction and the petroleum industry, as well as for mining and archaeology purposes. It consists of a radiation source that emits a directed beam of particles and a sensor that counts the received particles that are either reflected by the test material or pass through it. By calculating the percentage of particles that return to the sensor, the gauge can be calibrated to measure the density and inner structure of the test material. Different variants are used for different purposes. For density analysis of very shallow objects such as roads or walls, a gamma source emitter such as 137Cesium is used to produce gamma radiation. These isotopes are effective in analyzing the top 10 inches with high accuracy. 226Radium is used for depths of 328 yards. Such instruments can help find underground caves or identify locations with lower density that would make tunnel construction hazardous. This video is targeted to blind users. Attribution: Article text available under CC-BY-SA Creative Commons image source in video
Views: 2095 Audiopedia
Multilayer perceptron
 
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A multilayer perceptron is a feedforward artificial neural network model that maps sets of input data onto a set of appropriate outputs. An MLP consists of multiple layers of nodes in a directed graph, with each layer fully connected to the next one. Except for the input nodes, each node is a neuron with a nonlinear activation function. MLP utilizes a supervised learning technique called backpropagation for training the network. MLP is a modification of the standard linear perceptron and can distinguish data that are not linearly separable. This video is targeted to blind users. Attribution: Article text available under CC-BY-SA Creative Commons image source in video
Views: 643 Audiopedia
Metagenomics
 
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Metagenomics is the study of genetic material recovered directly from environmental samples. The broad field may also be referred to as environmental genomics, ecogenomics or community genomics. While traditional microbiology and microbial genome sequencing and genomics rely upon cultivated clonal cultures, early environmental gene sequencing cloned specific genes (often the 16S rRNA gene) to produce a profile of diversity in a natural sample. Such work revealed that the vast majority of microbial biodiversity had been missed by cultivation-based methods. Recent studies use either "shotgun" or PCR directed sequencing to get largely unbiased samples of all genes from all the members of the sampled communities. Because of its ability to reveal the previously hidden diversity of microscopic life, metagenomics offers a powerful lens for viewing the microbial world that has the potential to revolutionize understanding of the entire living world. As the price of DNA sequencing continues to fall, metagenomics now allows microbial ecology to be investigated at a much greater scale and detail than before. This video is targeted to blind users. Attribution: Article text available under CC-BY-SA Creative Commons image source in video
Views: 3388 Audiopedia
Graph rewriting
 
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Graph rewriting Graph transformation, or graph rewriting, concerns the technique of creating a new graph out of an original graph algorithmically.It has numerous applications, ranging from software engineering (software construction and also software verification) to layout algorithms and picture generation. =======Image-Copyright-Info======= Image is in public domain Author-Info: Gragra Image Source: https://en.wikipedia.org/wiki/File:GraphRewriteExample.PNG =======Image-Copyright-Info======== -Video is targeted to blind users Attribution: Article text available under CC-BY-SA image source in video https://www.youtube.com/watch?v=PSAOD5XgrQM
Views: 341 WikiAudio
Computer Case Airflow - What is Positive and Negative Pressure?
 
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Ever wonder what positive and negative air pressure in your case means? Well, Anthony and Jack came up with a way to show you exactly what happens inside. Buy Corsair 760T Computer Case: Canada: http://www.ncix.com/article/NMG.htm?search=760t US: http://www.ncix.com/article/NMG.htm?searchus=760t Buy Noctua F12 Fans: Canada: http://www.ncix.com/article/NMG.htm?search=noctua+f12 US: http://www.ncix.com/article/NMG.htm?searchus=noctua+f12 See news sources + discuss on our Forums: http://www.ncix.com/article/NMG.htm?url=http://forums.ncix.com/ Follow Us! http://www.ncix.com/article/NMG.htm Episode Credits: Host: Jack Sui (@NCIXJack), Anthony Chow (@Thegreatchow) Writer: Jack Sui, Anthony Chow Editor: Kalvin Shum (@NCIXAce)
Views: 1282056 NCIX Tech Tips
URBAN INTERMEDIA: City, Archive, Narrative
 
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Please join us for a conversation among the curators, Eve Blau and Robert Pietrusko, and invited media theorists, Laura Kurgan, Lev Manovich, and Jeffrey Schnapp about new methods of urban research that bring together design, scholarship, and critical media practice. Focusing on Urban Intermedia: City, Archive, Narrative – the exhibition, research project, and methodological experiment currently on display in the Druker Design Gallery – the panel will explore a range of questions related to the use of archival materials and time-based media that were developed in the project: How are the materials and methods of urban research— and by extension the stories we tell with them—being transformed by new media formats and technologies? In this context, what constitutes an archive, and how might physical archival materials be incorporated into digital forms of urban scholarship? Is it possible to tell stories and construct arguments that speak across disciplinary boundaries through a shared media language? And, how would such a “shared media language” challenge the dominant conceptual frameworks of urban research? The panel discussion will be immediately followed by a reception in the Druker Design Gallery for the exhibition Urban Intermedia: City, Archive, Narrative. HARVARD-MELLON URBAN INITIATIVE is a multiyear cross-Harvard research and teaching project supported by funding from the Andrew W. Mellon Foundation. It brings together scholars and designers to develop new visual and digital methods and cross-disciplinary approaches to the study of urban environments, societies, and cultures. Four city-based research projects in Berlin, Boston, Istanbul, and Mumbai, along with related courses and programming, form the core of the project. Urban Intermedia: City, Archive, Narrative, the capstone project of the Initiative, presents the findings of the research and the media-rich methods of exploring the disciplinary ‘blind spots’ of urban research developed in the project. For more information, please visit the Harvard Mellon Urban Initiative. Co-Principal Investigators: Eve Blau, Adjunct Professor of the History and Theory of Urban Form, GSD Julie Buckler, Samuel Hazzard Cross Professor of Slavic Languages and Literatures, FAS
Views: 911 Harvard GSD
How US Colleges & Universities Use Twitter?
 
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This study employed data mining and quantitative methods to collect and analyze the available histories of primary Twitter accounts of institutions of higher education in the U.S. (n = 2411). The study comprises a sample of 5.7 million tweets, representing 62 % of all tweets created by these accounts and the entire population of U.S. colleges and universities. With this large, generalizable dataset, researchers were able to determine that the preponderance of institutional tweets are 1) monologic, 2) disseminate information (vs. eliciting action), 3) link to a relatively limited and insular ecosystem of web resources, and 4) express neutral or positive sentiment. While prior research suggests that social media can serve as a vehicle for institutions to extend their reach and further demonstrate their value to society, this article provides empirical and generalizable evidence to suggest that such innovation, in the context of institutional social media use, is limited. Download a the paper from the Innovation Higher Education here: https://link.springer.com/article/10.1007/s10755-016-9375-6 This video features the song Adventure, Darling by Gillicuddy (c) http://freemusicarchive.org/music/gillicuddy/Plays_Guitar_Again/01-adventure-darling available under a Creative Commons license.
Views: 413 Research Shorts
HOW TO ANALYZE PEOPLE ON SIGHT - FULL AudioBook - Human Analysis, Psychology, Body Language
 
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How To Analyze People On Sight | GreatestAudioBooks 🌟SPECIAL OFFERS: ► Free 30 day Audible Trial & Get 2 Free Audiobooks: https://amzn.to/2Iu08SE ...OR: 🌟 try Audiobooks.com 🎧for FREE! : http://affiliates.audiobooks.com/tracking/scripts/click.php?a_aid=5b8c26085f4b8 ► Shop for books & gifts: https://www.amazon.com/shop/GreatestAudioBooks How To Analyze People On Sight | GreatestAudioBooks by Elsie Lincoln Benedict & Ralph Pain Benedict - Human Analysis, Psychology, Body Language - In this popular American book from the 1920s, "self-help" author Elsie Lincoln Benedict makes pseudo-scientific claims of Human Analysis, proposing that all humans fit into specific five sub-types. Supposedly based on evolutionary theory, it is claimed that distinctive traits can be foretold through analysis of outward appearance. While not considered to be a serious work by the scientific community, "How To Analyze People On Sight" makes for an entertaining read. . ► Follow Us On TWITTER: https://www.twitter.com/GAudioBooks ► Friend Us On FACEBOOK: http://www.Facebook.com/GreatestAudioBooks ► For FREE SPECIAL AUDIOBOOK OFFERS & MORE: http://www.GreatestAudioBooks.com ► SUBSCRIBE to Greatest Audio Books: http://www.youtube.com/GreatestAudioBooks ► BUY T-SHIRTS & MORE: http://bit.ly/1akteBP ► Visit our WEBSITE: http://www.GreatestAudioBooks.com READ along by clicking (CC) for Caption Transcript LISTEN to the entire book for free! Chapter and Chapter & START TIMES: 01 - Front matter -- - 00:00 02 - Human Analysis - 04:24 03 - Chapter 1, part 1 The Alimentive Type - 46:00 04 - Chapter 1, part 2 The Alimentive Type - 1:08:20 05 - Chapter 2, part 1 The Thoracic Type - 1:38:44 06 - Chapter 2, part 2 The Thoracic Type - 2:10:52 07 - Chapter 3, part 1 The Muscular type - 2:39:24 08 - Chapter 3, part 2 The Muscular type - 3:00:01 09 - Chapter 4, part 1 The Osseous Type - 3:22:01 10 - Chapter 4, part 2 The Osseous Type - 3:43:50 11 - Chapter 5, part 1 The Cerebral Type - 4:06:11 12 - Chapter 5, part 2 The Cerebral Type - 4:27:09 13 - Chapter 6, part 1 Types That Should and Should Not Marry Each Other - 4:53:15 14 - Chapter 6, part 2 Types That Should and Should Not Marry Each Other - 5:17:29 15 - Chapter 7, part 1 Vocations For Each Type - 5:48:43 16 - Chapter 7, part 2 Vocations For Each Type - 6:15:29 #audiobook #audiobooks #freeaudiobooks #greatestaudiobooks #book #books #free #top #best #psychology # This video: Copyright 2012. Greatest Audio Books. All Rights Reserved. Audio content is a Librivox recording. All Librivox recordings are in the public domain. For more information or to volunteer visit librivox.org. Disclaimer: As an Amazon Associate we earn from qualifying purchases. Your purchases through Amazon affiliate links generate revenue for this channel. Thank you for your support.
Views: 2046352 Greatest AudioBooks
Talent Connect Live: Day 2
 
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The Talent Connect Livestream is your front row seat to a three-day gathering of the world’s top leaders, innovators and influencers in the talent space. Join the stream October 9th – 11th, PDT to see keynote presentations, product demos and exclusive interviews, from anywhere in the world. You’ll gain actionable insights that will help you stay ahead of the evolving talent landscape on topics including Talent Intelligence, the Future of Work and Learning & Development.
Pharmacogenomics (2010)
 
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March 23, 2010 Howard McLeod, Pharm.D. Current Topics in Genome Analysis 2010 Handout: http://www.genome.gov/Pages/Research/IntramuralResearch/DIRCalendar/CurrentTopicsinGenomeAnalysis2010/CTGA2010_Lec10_color.pdf More: http://www.genome.gov/12514286
Translational Bioinformatics: Transforming 300 Billion Points of Data
 
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Translational Bioinformatics: Transforming 300 Billion Points of Data into Diagnostics, Therapeutics, and New Insights into Disease Air date: Wednesday, June 20, 2012, 3:00:00 PM Time displayed is Eastern Time, Washington DC Local Description: There is an urgent need to translate genome-era discoveries into clinical utility, but the difficulties in making bench-to-bedside translations haven't been well described. The nascent field of translational bioinformatics may help. Dr. Butte's lab at Stanford University builds and applies tools that convert more than 300 billion points of molecular, clinical, and epidemiological data (measured by researchers and clinicians over the past decade) into diagnostics, therapeutics, and new insights into disease. Dr. Butte, a bioinformatician and pediatric endocrinologist, will highlight his lab's work on using publicly available molecular measurements to find new uses for drugs, discovering new treatable mechanisms of disease in type 2 diabetes, and evaluating patients presenting with whole genomes sequenced. The NIH Wednesday Afternoon Lecture Series includes weekly scientific talks by some of the top researchers in the biomedical sciences worldwide. For more information, visit: The NIH Director's Wednesday Afternoon Lecture Series Author: Atul Butte, M.D., Ph.D., Stanford University Runtime: 01:07:42 Permanent link: http://videocast.nih.gov/launch.asp?17321
Views: 12110 nihvcast
Daniel Dennett, Lawrence Krauss and Massimo Pigliucci discuss The Limits Of Science @ Het Denkgelag
 
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00:00 Introduction 07:07 Limits of Science 19:40 God & the Supernatural 31:20 Science & Morality 50:11 Something out of Nothing 1:03:42 The Value of Philosophy 1:20:59 Cognitive Limits 1:35:43 Questions: - 1:35:56 Science & Politics - 1:43:33 The Status of Economics - 1:48:17 Does Consciousness Exist? 1:55:00 Credits English and Dutch subtitles available! Website: http://www.hetdenkgelag.be Help us caption & translate this video! http://amara.org/v/Czbo/
Views: 301650 het denkgelag
DataScience@NIH: Current State, Future Directions
 
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* Note: Video may display green background for about 1 minute and disappears for the remainder of the video. We apologize for any inconvenience. Dr. Patricia Flatley Brennan, National Library of Medicine Director and Interim Associate NIH Director for Data Science presents webinar, "[email protected]: Current State, Future Directions." Webinar Description NIH has a strong commitment to data science and supporting discovery through data. In January 2017, as Phil Bourne left to assume an academic post, Patti Brennan was appointed interim Associate Director for Data Science at NIH. The BD2K program direction moved to DPCPSI and the remainder of the ADDS office work, including inter-governmental collaborations, communications, policy, and training moved to the Data Science Coordinating Unit at the National Library of Medicine. In this lecture Brennan will provide an update of data science efforts at NIH, a summary of infrastructure investments designed to ensure that data are FAIR and discovery from data accelerate, and a vision for how the NLM will become the hub of data science at NIH. For more information, visit: https://datascience.nih.gov/blog View slides from this lecture: https://drive.google.com/open?id=0B4IAKVDZz_JURHQ5VlBva0daRGs About Our speaker Patricia Flatley Brennan, RN, PhD, is the Director of the National Library of Medicine (NLM). The NLM is the world’s largest biomedical library and the producer of digital information services used by scientists, health professionals and members of the public worldwide. She assumed the directorship in August 2016. In January 2017, with the transition of the trans-NIH data science initiatives to NLM, as recommended by the NLM Working Group Report to the NIH Director, Dr. Brennan also assumed the role of NIH Interim Associate Director for Data Science (ADDS). Dr. Brennan came to NIH from the University of Wisconsin-Madison, where she was the Lillian L. Moehlman Bascom Professor at the School of Nursing and College of Engineering. She also led the Living Environments Laboratory at the Wisconsin Institutes for Discovery, which develops new ways for effective visualization of high dimensional data. Dr. Brennan is a pioneer in the development of information systems for patients. She developed ComputerLink, an electronic network designed to reduce isolation and improve self-care among home care patients. She directed HeartCare, a web-based information and communication service that helps home-dwelling cardiac patients recover faster, and with fewer symptoms. She also directed Project HealthDesign, an initiative designed to stimulate the next generation of personal health records. Dr. Brennan has also conducted external evaluations of health information technology architectures and worked to repurpose engineering methods for health care. She received a master of science in nursing from the University of Pennsylvania and a PhD in industrial engineering from the University of Wisconsin-Madison. Following seven years of clinical practice in critical care nursing and psychiatric nursing, Dr. Brennan held several academic positions at Marquette University, Milwaukee; Case Western Reserve University, Cleveland; and the University of Wisconsin-Madison. A past president of the American Medical Informatics Association, Dr. Brennan was elected to the Institute of Medicine of the National Academy of Sciences (now the National Academy of Medicine) in 2001. She is a fellow of the American Academy of Nursing, the American College of Medical Informatics, and the New York Academy of Medicine. Visit our website to view archived videos covering various topics in data science: bigdatau.org/data-science-seminars

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