Home
Search results “Text mining techniques for patent analysis pdf”
How to Build a Text Mining, Machine Learning Document Classification System in R!
 
26:02
We show how to build a machine learning document classification system from scratch in less than 30 minutes using R. We use a text mining approach to identify the speaker of unmarked presidential campaign speeches. Applications in brand management, auditing, fraud detection, electronic medical records, and more.
Views: 163432 Timothy DAuria
Data Mining using R | Data Mining Tutorial for Beginners | R Tutorial for Beginners | Edureka
 
36:36
( R Training : https://www.edureka.co/r-for-analytics ) This Edureka R tutorial on "Data Mining using R" will help you understand the core concepts of Data Mining comprehensively. This tutorial will also comprise of a case study using R, where you'll apply data mining operations on a real life data-set and extract information from it. Following are the topics which will be covered in the session: 1. Why Data Mining? 2. What is Data Mining 3. Knowledge Discovery in Database 4. Data Mining Tasks 5. Programming Languages for Data Mining 6. Case study using R Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #LogisticRegression #Datasciencetutorial #Datasciencecourse #datascience How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyse Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyse data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free). Website: https://www.edureka.co/data-science Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. " Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 64708 edureka!
Claire Kelley, Sarah Kelley - Automatic Citation generation with Natural Language Processing
 
35:46
Description Can citations write themselves? Using a topic modeling approach we model similarity between patents from the US patent database via cosine similarity. Mining the text of millions of patents for similarities allows us to algorithmically recommend possible citations for new patents. We use python, pyspark and big query to parallelize complex operations over millions of rows of data. Abstract In this project we use natural language processing to investigate ways to generate recommendations for citations for new patents. Using a topic modeling approach and cosign similarity we attempt to recommend patents similar to the text of a potential new patent. This would allow inventors and engineers to quickly reference patents similar to their own and easily cite them. From an architectural stand point we use big query to handle data ingestion and pre-processing. The data management functionality of big query is key because there are millions of patents some of which may contain hundreds of pages of text. After pre processing in big query the bulk of our analytic work is done in spark through the python wrapper which allows for easy parallelization of the analytical portion. www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
Views: 493 PyData
text mining, web mining and sentiment analysis
 
13:28
text mining, web mining
Views: 1556 Kakoli Bandyopadhyay
Text mining for chemical information: the ChiKEL project - David Milward (Linguamatics)
 
15:18
As scientific and patent literature expands, we need more efficient ways to find and extract information. Text mining is already being used successfully to analyse sets of documents after they are found by structure search, in a two‐step process. Integrating name‐to‐structure and structure search directly within an interactive text mining system enables structure search to be mixed with linguistic constraints for more precise filtering. This talk will describe work done in partnership between ChemAxon and Linguamatics in the EU funded project, ChiKEL, including improvements made to name‐to‐structure software, how we evaluated this, and the approach taken to integrating name to structure within the text mining platform, I2E.
Views: 238 ChemAxon
HOW TO ANALYZE PEOPLE ON SIGHT - FULL AudioBook - Human Analysis, Psychology, Body Language
 
06:50:42
How To Analyze People On Sight | GreatestAudioBooks 🎅 Give the gift of audiobooks! 🎄 Click here: http://affiliates.audiobooks.com/tracking/scripts/click.php?a_aid=5b8c26085f4b8&a_bid=ec49a209 🌟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: 2072732 Greatest AudioBooks
How to Clean Up Raw Data in Excel
 
10:54
Al Chen (https://twitter.com/bigal123) is an Excel aficionado. Watch as he shows you how to clean up raw data for processing in Excel. This is also a great resource for data visualization projects. Subscribe to Skillshare’s Youtube Channel: http://skl.sh/yt-subscribe Check out all of Skillshare’s classes: http://skl.sh/youtube Like Skillshare on Facebook: https://www.facebook.com/skillshare Follow Skillshare on Twitter: https://twitter.com/skillshare Follow Skillshare on Instagram: http://instagram.com/Skillshare
Views: 82750 Skillshare
Steve Gallant at BDF 2015 | "Using Free Text for Predictive Modeling"
 
29:28
Abstract: This is an introductory overview of how to efficiently represent text (and images) for predictive analytics. Applications include Sentiment Analysis, classifying news stories or emails, building marketing models (acquisition, churn), and anomaly detection. The key technique is how to transform text (of varying length), as well as sentence or document structure, into a single, distributed, fixed-length vector. For example, we may want to change each news story into a list of exactly 500 numbers. The main reason to make this transformation is to enable machine learning approaches — which require fixed-length vectors — to construct predictive models. (Neural networks provide a motivation for this work.)We’ll see a live demonstration classifying news stories over the web. Bio: Steve Gallant, Ph.D. has over 40 publications, 3 patents issued and 2 pending, and a book on Neural Network Learning (MIT Press). His degrees are from MIT (Math) and Stanford (Ph.D. in Operations Research), and he was Associate Professor of Computer Science at Northeastern. Currently, he leads R&D at MultiModel Research, which he founded. MultiModel focuses upon text representations and machine learning. Applications include detecting news stories that will move stock prices, multi-label classification (assigning category labels to news stories) and Sentiment Analysis. Work at MultiModel is supported by a grant from the National Science Foundation.
Views: 218 Open Data Science
Hysterosalpingogram / HSG
 
00:51
A hysterosalpingogram is an x-ray study of the uterus and fallopian tubes. This HSG shows a normal uterine cavity and patency of both fallopian tubes. Increase your "Infertelligence" TM Subscribe to Infertility TV now!!! A new episode of Infertility TV is broadcast weekly every Thursday afternoon or visit our website at IVF1.com ******************************************* Do you want to become a patient at IVF1? ******************************************* Register online here: https://patient.ivf1.com/PatientPortal/NewPatient Or call: 630-357-6540
Views: 230929 Infertility TV
HSG Test
 
02:56
http://blockedfallopiantubes.com/hsg-test/ if you think you have blocked fallopian tubes you would benefit from a HSG test.
Views: 343736 jvcfgr53
Highlight Winning Lottery Numbers With Excel Conditional Formatting
 
04:08
http://www.contextures.com/xlCondFormat03.html Use conditional formatting in Excel to highlight the winning numbers in a list of lottery tickets. The Excel COUNTIF function checks each number against the week's winning numbers. If the number is in the list of drawn numbers, the cell is coloured.
Views: 54813 Contextures Inc.
Kai Goebel: "Systems Health Technology at NASA Ames Research Center" | Talks at Google
 
01:00:28
To ensure mission success, NASA has at its disposal a suite of tools and methods. These include the use of reliable components that are designed to ensure that mean time between failure satisfies mission requirements. Next, hardware redundancy is employed to provide backup capability of critical components. Active health management can be carried out where autonomous online component performance monitoring is performed and where indications of abnormal behavior are determined. This talk centers around the advanced capability of this technology. Questions that we try to answer include: How does one detect the early onset of faults with limited sensing? How does one ensure that sensor misbehavior does not throw off the analysis? How does one determine when a component will fail? The talk will illuminate the past, present, and future of this field with a number of examples, including those of an Android phone enabled rover that was used for fault injection experiments. Kai Goebel is the Deputy area lead of the Discovery and Systems Health Technology Area at NASA Ames Research Center
Views: 3739 Talks at Google
Microsoft Excel 2016 - Learn Excel 2016 Beginners Tutorial Video
 
02:08:31
Learn Microsoft 2016 from the pro's. In this FREE beginners tutorial for Microsoft 2016 you will learn the basics of Excel 2016, and Tips and Tricks so that you can get the most out of your Excel experience. Our beginner videos start with simple tasks like selecting cells and entering data, then quickly move to calculating data with basic formulas and functions. The intermediate portion shows you how simple it is to sort and filter and then moves to one of Excel’s most popular features, Pivot Tables. Our advanced videos start with functions like IF and VLOOKUP and finish up with Macros. Some of the other topics in the Microsoft Excel 2016 tutorial include: Start Screen & Templates, Ribbon & QA Toolbar - Part 1, Ribbon & QA Toolbar - Part 2, Backstage View, Interface, Share Pane, Tell Me, Smart Lookup, Navigating, Keyboard Shortcuts, Entering Text Formatting Numbers, Deleting & Formatting, AutoSum, Simple Formulas, Simple Functions, Absolute Referencing, Inserting Rows Inserting Columns, Moving & Copying Data, Autofill, Cell Styles, Worksheet Themes, Excel Templates, Grouping Worksheets, Freeze Panes, Custom Views, Spell Check, Printing, Flash Fill, List Design & Single Level Sorting, Multi-Level Sorting, Custom Sorting, Filtering, Multi-Level Filtering, Search Filtering, Format as Table, Table Style Options, Remove Duplicates, Convert to Range, Subtotal, Multi-Level, Subtotaling, Remove Subtotals, Quick Analysis Charts, Inserting Data Charts, Formatting Data Charts, Chart, Templates, Spark lines, Printing Charts, Importing From Web, MS Query, Exporting Overview, Pivot Tables, Multiple-Field Pivot Tables, Drill Down Reports, Pivot Charts & Grouping Fields, Slicer Tool, Data Validation - Part 1, Data Validation - Part 2, Cell & Sheet Protection, File Encryption, Conditional Formatting, Linking Data, Inserting Comments.. and more Please subscribe to Learn iT! and check out our website (http://learnit.com) to browse other Microsoft Courses, Project Management, and IT Training courses.
Views: 705246 Learn iT! Training
DEF CON 22 - Zoz - Don't Fuck It Up!
 
52:51
Slides Here: https://defcon.org/images/defcon-22/dc-22-presentations/Zoz/DEFCON-22-Zoz-Dont-Fuck-It-Up-UPDATED.pdf Don't Fuck It Up! Zoz ROBOTICS ENGINEER Online antics used to be all about the lulz; now they're all about the pervasive surveillance. Whether you're the director of a TLA just trying to make a booty call or an internet entrepreneur struggling to make your marketplace transactions as smooth as silk, getting up to any kind of mischief involving electronic communications now increasingly means going up against a nation-state adversary. And if even the people who most should know better keep fucking it up, what does that mean for the rest of us? What do the revelations about massive government eavesdropping and data ingestion mean for people who feel they have a right if not a duty to occasionally be disobedient? It's time for a rant. Analyzing what is currently known or speculated about the state of online spying through the prism of some spectacular fuckups, this talk offers an amusing introduction to how you can maximize your chances of enduring your freedom while not fucking it up. Learn how not to fuck up covering your tracks on the internet, using burner phones, collaborating with other dissidents and more. If you have anything to hide, and all of us do, pay attention and Don't. Fuck. It. Up! Zoz is a robotics engineer, prankster and general sneaky bastard. He has been pretty successful at pulling some cool subversive shit and not fucking it up and getting caught. He once faked a crop circle for the Discovery Channel and it was all uphill from there.
Views: 444399 DEFCONConference
Thorium.
 
06:27:00
http://ThoriumRemix.com/ Thorium is an abundant material which can be transformed into massive quantities of energy. To do so efficiently requires a very different nuclear reactor than the kind we use today- Not one that uses solid fuel rods, but a reactor in which the fuel is kept in a liquid state. Not one that uses pressurized water as a coolant, but a reactor that uses chemically stable molten salts. Such a reactor is called a "Molten Salt Reactor". Many different configurations are possible. Some of these configurations can harness Thorium very efficiently. This video explores the attributes of Molten Salt Reactors. Why are they compelling? And why do many people (including myself) see them as the only economical way of fully harnessing ALL our nuclear fuels... including Thorium. This video has been under development since 2012. I hope it conveys to you why I personally find Molten Salt Reactors so compelling, as do the many volunteers and supporters who helped create it. Much of the footage was shot by volunteers. All music was created by: http://kilowattsmusic.com To support this project, please visit: https://patreon.com/thorium Entities pursuing Molten Salt Reactors are... Flibe Energy - http://flibe-energy.com/ Terrestrial Energy - http://terrestrialenergy.com/ Moltex Energy - http://www.moltexenergy.com/ ThorCon Power - http://thorconpower.com/ Transatomic - http://www.transatomicpower.com/ Seaborg - http://seaborg.co/ Copenhagen Atomics - http://www.copenhagenatomics.com/ TerraPower - http://terrapower.com/ Bhabha Atomic Research Centre - http://www.barc.gov.in/ Chinese Academy of Sciences - http://english.cas.cn/ Regular Thorium conferences are organized by: http://thoriumenergyalliance.com/ http://thoriumenergyworld.com/ Table of Contents 0:00:00 Space 0:17:29 Constraints 0:28:22 Coolants 0:40:15 MSRE 0:48:54 Earth 0:59:46 Thorium 1:22:03 LFTR 1:36:13 Revolution 1:44:58 Forward 1:58:11 ROEI 2:05:41 Beginning 2:08:36 History 2:38:59 Dowtherm 2:47:57 Salt 2:51:44 Pebbles 3:06:07 India 3:18:44 Caldicott 3:35:55 Fission 3:56:22 Spectrum 4:04:25 Chemistry 4:12:51 Turbine 4:22:27 Waste 4:40:15 Decommission 4:54:39 Candlelight 5:13:06 Facts 5:26:08 Future 5:55:39 Pitches 5:56:17 Terrestrial 6:08:33 ThorCon 6:11:45 Flibe 6:20:51 End 6:25:53 Credits Some of this footage is remixed from non-MSR related sources, to help explain the importance of energy for both space exploration and everyday life here on Earth. Most prominently... Pandora's Promise - https://youtu.be/bDw3ET3zqxk Dr. Neil DeGrasse Tyson - https://youtu.be/Pun76NZMjCk Dr. Robert Zubrin - https://youtu.be/EKQSijn9FBs Mars Underground - https://youtu.be/tcTZvNLL0-w Andy Weir & Adam Savage - https://youtu.be/5SemyzKgaUU Periodic Table Videos - https://youtube.com/channel/UCtESv1e7ntJaLJYKIO1FoYw
Views: 136725 gordonmcdowell
11 English Sentences जो Girls को Impress कर देंगे | Improve Vocabulary with Awal | How to Praise
 
04:39
Learn 11 English sentences that you can use to praise a girl and impress her with your confidence in speaking English. 11 English Sentences जो Girls को Impress कर देंगे is a Hindi video by Awal, where he has explained the meaning of the English sentences in simple words. Use these English sentences to know how to complement a girl when she looks beautiful, and what are the right words to use, so that you don't sound cheap or strange. Use these words if you want to please your female friends in college, colleagues in your office, or your girlfriend, or wife! Follow Awal on Facebook: https://www.facebook.com/LearnEnglishWithAwal TSMadaan Motivational Speaker | Life Coach | Sales Trainer A Hindi Life Changing Videos Channel to raise your Success and Happiness level on various subjects like motivation inspiration and self help plus personality development. This channel also shows health videos by Ms Pinky Madaan and English Videos by various trainers like Awal, Neeru Malik, Suresh Kumar and many more. YouTube: www.youtube.com/tsmadaan
Views: 1595149 TsMadaan
Pool Test Strip Scanner iPhone App Demo
 
03:33
State of Tech - http://stateoftech.net Find us here: Facebook - http://www.fb.com/stateoftech Twitter - http://www.twitter.com/stateoftech Instagram - http://instagram.com/stateoftech
Views: 6941 StateofTech
CHI 2015 Plenary: Susan Dumais - Large-Scale Behavioral Data
 
50:01
Susan Dumais ACM-W Athena Lecture: Large-Scale Behavioral Data: Potential and Pitfalls Over the last decade, the rise of web services has made it possible to gather traces of human behavior in situ at a scale and fidelity previously unimaginable. Large-scale behavioral data enables researchers and practitioners to detect adverse drug reactions and interactions, to understand how information diffuses through social networks, how people browse and search for information, how individual learning strategies are related to educational outcome, etc. Using examples from search, I will highlight how observational logs provide a rich new lens onto the diversity of searchers, tasks, and interactivity that characterize information systems today, and how experimental logs have revolutionized the way in which web-based systems are designed and evaluated. Although logs provide a great deal of information about what people are doing, they provide little insight about why they are doing so or whether they are satisfied. Complementary methods from observations, laboratory studies and panels are necessary to provide a more complete understanding of and support for search which is increasingly a core fabric of people’s everyday lives. The CHI community should lead the way in shaping best practices and policy in behavioral log studies. Biography: Susan Dumais a Distinguished Scientist at Microsoft and Deputy Managing Director of the Microsoft Research Lab in Redmond. Prior to joining Microsoft Research, she was at Bell Labs and Bellcore, where she worked on Latent Semantic Analysis, techniques for combining search and navigation, and organizational impacts of new technology. Her current research focuses on user modeling and personalization, context and search and temporal dynamics of information. She has worked closely with several Microsoft groups (Bing, Windows Desktop Search, SharePoint, and Office Online Help) on search-related innovations. Susan has published widely in the fields of information science, human-computer interaction and cognitive science, and holds several patents on novel retrieval algorithms and interfaces. Susan is also an adjunct professor in the Information School at the University of Washington. She is Past-Chair of ACM's Special Interest Group in Information Retrieval (SIGIR), and serves on several editorial boards, technical program committees, and government panels. She was elected to the CHI Academy in 2005, an ACM Fellow in 2006, received the SIGIR Gerard Salton Award for Lifetime Achievement 2009, was elected to the National Academy of Engineering (NAE) in 2011, and received the ACM Athena Lecturer Award, and Tony Kent Strix Award in 2014. ACM DL::http://dl.acm.org/citation.cfm?id=2702613 Slides::https://chi2015.acm.org/files/CHI2015-Athena-Dumais_ShareBuilds.pdf WEB::https://chi2015.acm.org Recorded on April 23, 2015 at the CHI Conference on Human Factors in Computing Systems, Seoul, South Korea
Views: 176 ACM SIGCHI
Statens vegvesen - Barnekontrolløren
 
01:34
En film fra Statens vegvesen for å få enda flere til å feste beltet i bussen. Regissør: Jens Lien
Views: 8607 Statens vegvesen
Tick-Borne Disease Working Group Meeting - May 10, 2018
 
08:00:55
Part 1 (Welcome, Introductions, Overview) - https://bit.ly/2ydmepe Part 2 (Disease Vectors, Surveillance, and Prevention Subcommittee Report) - https://bit.ly/2Nq6UeC Part 3 (Pathogenesis, Transmission, and Treatment Subcommittee Report) - https://bit.ly/2NqoNdo Part 4 (Testing and Diagnostics Subcommittee Report) - https://bit.ly/2NpTL57 Part 5 (Access to Care and Support to Patients Subcommittee Report) - https://bit.ly/2P9BsCV Part 6 (Vaccines and Therapeutics Subcommittee Report) - https://bit.ly/2O6v5nu Part 7 (Other Tick-Borne Diseases and Co-Infections Subcommittee Report) - https://bit.ly/2CuhQqD Part 8 (Public Comments and Next Steps) - https://bit.ly/2OGKLgM -- U.S. Department of Health and Human Services (HHS) http://www.hhs.gov HHS Privacy Policy http://www.hhs.gov/Privacy.html
2018 PHMSA Hazardous Materials Safety Research and Development Forum -- Day 1
 
08:10:45
PHMSA held a Hazardous Materials Safety Research and Development Forum on May 16 and 17, 2018, in Washington, D.C., to present the results of recently completed projects, solicit stakeholder input on plans for future projects, and discuss research gaps associated with topics of interest such as energetic materials characterization and transport, safe transport of energy products (STEP), and safe packaging and transportation of charge storage devices.
Optical character recognition
 
16:10
Optical character recognition, usually abbreviated to OCR, is the mechanical or electronic conversion of scanned or photographed images of typewritten or printed text into machine-encoded/computer-readable text. It is widely used as a form of data entry from some sort of original paper data source, whether passport documents, invoices, bank statement, receipts, business card, mail, or any number of printed records. It is a common method of digitizing printed texts so that they can be electronically edited, searched, stored more compactly, displayed on-line, and used in machine processes such as machine translation, text-to-speech, key data extraction and text mining. OCR is a field of research in pattern recognition, artificial intelligence and computer vision. Early versions needed to be programmed with images of each character, and worked on one font at a time. "Intelligent" systems with a high degree of recognition accuracy for most fonts are now common. Some commercial systems are capable of reproducing formatted output that closely approximates the original scanned page including images, columns and other non-textual components. This video is targeted to blind users. Attribution: Article text available under CC-BY-SA Creative Commons image source in video
Views: 473 Audiopedia
Petroleum
 
52:20
Petroleum (L. petroleum, from early 15c. "petroleum, rock oil" (mid-14c. in Anglo-French), from Medieval Latin petroleum, from Latin petra rock(see petrous) + Latin: oleum oil (see oil (n.)). ) is a naturally occurring, yellow-to-black liquid found in geologic formations beneath the Earth's surface, which is commonly refined into various types of fuels. It consists of hydrocarbons of various molecular weights and other liquid organic compounds. The name petroleum covers both naturally occurring unprocessed crude oil and petroleum products that are made up of refined crude oil. A fossil fuel, petroleum is formed when large quantities of dead organisms, usually zooplankton and algae, are buried underneath sedimentary rock and subjected to intense heat and pressure. Petroleum is recovered mostly through oil drilling (natural petroleum springs are rare). This comes after the studies of structural geology (at the reservoir scale), sedimentary basin analysis, reservoir characterization (mainly in terms of the porosity and permeability of geologic reservoir structures). It is refined and separated, most easily by distillation, into a large number of consumer products, from gasoline (petrol) and kerosene to asphalt and chemical reagents used to make plastics and pharmaceuticals. Petroleum is used in manufacturing a wide variety of materials, and it is estimated that the world consumes about 90 million barrels each day. This video is targeted to blind users. Attribution: Article text available under CC-BY-SA Creative Commons image source in video
Views: 453 Audiopedia
Lecture 2: Seismic Principles 2
 
01:04:18
John N. Louie, Applied Geophysics class at the University of Nevada, Reno, Lecture 2. Now with correct subtitles. http://crack.seismo.unr.edu/ftp/pub/louie/class/492-syll.html Seismic principles - amplitude, Q, shear and surface waves, sources, geophones and digital recorders. Text: 4.5.3-4.5.4, p. 192-207: W. Telford, L. Geldart, and R. Sheriff, Applied Geophysics, Cambridge Univ. Press, ISBN 0521339383. Seismic overheads 1: p. 11-20: http://crack.seismo.unr.edu/ftp/pub/louie/class/492/overheads/Seismic1.pdf
Views: 3875 John Louie
Spectrum Analyzer for iPhone and iPad
 
01:54
http://SpectrumAnalyzerApp.com Spectrum Analyzer for iOS is a powerful real-time audio analysis app. Designed with musicians and recording engineers in mind, it can also be used by anyone interested in the world of sound. Ideal for room tuning or speaker tuning, the app enables portable, precision audio measurement and visualization. Audio used: "Basement Floor" and "Enchanted Journey" by Kevin MacLeod (incompetech.com) "Evening Birdsong" and "Cuckoo" by Benboncan http://www.freesound.org/people/Benboncan/
Views: 46682 ONYX Apps
Introduction to Dictionary Skills
 
07:05
A charming introduction to first dictionary skills, to help every child understand how to use dictionaries to find the words they need, and enrich their language.
Views: 319172 Oxford Education
A Badging Update in Higher Education - A conversation with Daniel Hickey
 
59:47
Unlike conventional credentials, open digital badges can contain specific claims about learning, detailed evidence supporting those claims, and links to additional claims and evidence. This wealth of information can then circulate in digital networks and be annotated and curated by the earner. Proponents argue that this new way of recognizing learning will be both transformative and disruptive to Higher Education. One of these proponents, Dr. Daniel Hickey, has been scanning the higher education landscape for examples of the exploration, experimentation and implementation of badging as a micro-credentialing strategy while leading the Digital Badges Design Principles Documentation Project sponsored by a MacArthur Grant. During this COIL Conversation Dr. Hickey highlights the challenges and successes of badging initiatives from around the country and provides insights gleaned from his two year study of badging practices across the 30 awardees in the 2012 Badges for Lifelong Learning Initiative. He then uses those insights to frame the potential for badges at Penn State and beyond. Daniel T. Hickey is an Associate Professor and Program Coordinator with the Learning Sciences Program at Indiana University and a Research Associate with the IU Center for Research on Learning and Technology. He and his colleagues are completing a two year study of the badge design principles that emerged across the thirty awardees in the 2012 Badges for Lifelong Learning initiative and have launched a new effort to expand innovative uses of open digital badges in higher education. This video is available in alternative media upon request. Please contact [email protected] with any accessibility requests and we will be happy to assist you.
Information science | Wikipedia audio article
 
33:02
This is an audio version of the Wikipedia Article: Information science Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. You can find other Wikipedia audio articles too at: https://www.youtube.com/channel/UCuKfABj2eGyjH3ntPxp4YeQ You can upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts "The only true wisdom is in knowing you know nothing." - Socrates SUMMARY ======= Information science is a field primarily concerned with the analysis, collection, classification, manipulation, storage, retrieval, movement, dissemination, and protection of information. Practitioners within and outside the field study application and usage of knowledge in organizations along with the interaction between people, organizations, and any existing information systems with the aim of creating, replacing, improving, or understanding information systems. Historically, information science is associated with computer science, psychology, and technology. However, information science also incorporates aspects of diverse fields such as archival science, cognitive science, commerce, law, linguistics, museology, management, mathematics, philosophy, public policy, and social sciences.
Views: 3 wikipedia tts
Pollution Prevention Information: What's Out There and Where to Find It
 
56:42
In this webinar, Laura L. Barnes, GLRPPR's Executive Director and a degreed librarian, shares tips for locating, organizing, and filtering pollution prevention information. The webinar was recorded on December 13, 2012. Presentation slides are available at http://hdl.handle.net/2142/35294. Visit the Pollution Prevention 101 LibGuide at http://uiuc.libguides.com/p2.
Saving the Web: Ethics & Challenges of Preserving the Internet (morning)
 
03:04:09
Preserving the contents of the internet is an increasingly vital activity. The web today is an ubiquitous global information system, and yet significant amounts of its contents disappear daily. The average web page remains online for barely 100 days. This symposium brings together experts in this field to discuss the major issues in the debate around this topic, the future potential of web archives to researchers and scholars, and the challenges in web archiving that face libraries, governments, institutions and individuals. (Morning Session). Speaker Biography: Dame Wendy Hall is professor of computer science at the University of Southampton, England, and holder of the 2016 Kluge Chair in Technology and Society. For transcript and more information, visit http://www.loc.gov/today/cyberlc/feature_wdesc.php?rec=7635
Views: 492 LibraryOfCongress
How Innovations in Engineering and Technology Are Helping to Address Water Challenges
 
01:07:37
This event was the third session of the 2016 U.S.–China Forum at the University of Chicago. The US-China Forum is sponsored by the China-United States Exchange Foundation in collaboration with the University of Chicago. The annual forum brings together renowned experts—including faculty from the University of Chicago and scholars from China—for high-level engagement focused on issues of importance to both countries and, by extension, the world. It is intended to spur long-term research collaborations between Chinese and University of Chicago researchers. The 2016 program focused on water and urban development and was hosted by the Institute for Molecular Engineering at the University of Chicago. ➡ Subscribe: http://bit.ly/UCHICAGOytSubscribe About #UChicago: A destination for inquiry, research, and education, the University of Chicago empowers scholars to challenge conventional thinking. Our diverse community of creative thinkers celebrates ideas, and is celebrated for them. #UChicago on the Web: Home: http://bit.ly/UCHICAGO-home News: http://bit.ly/UCHICAGO-news Facebook: http://bit.ly/UCHICAGO-FB Twitter: http://bit.ly/UCHICAGO-TW Instagram: http://bit.ly/UCHICAGO-IG University of Chicago on YouTube: https://www.youtube.com/uchicago *** ACCESSIBILITY: If you experience any technical difficulties with this video or would like to make an accessibility-related request, please email [email protected]
Google Developer Days India 2017 - Day 2 (Track 2)
 
08:08:51
Join us for the livestream of Day 2 at GDD India '17! This livestream will cover all sessions taking place at the Bengaluru International Exhibition Centre in Bengaluru, India. Check out the Day 2 event schedule here: https://goo.gl/zygeGy Google Developer Days (GDD) are global events showcasing the latest developer products and platforms from Google to help you quickly develop high quality apps, grow and retain an active user base, and tap into tools to earn more. Music by Terra Monk: https://goo.gl/pC5R3T #GDDIndia
William Thomson, 1st Baron Kelvin | Wikipedia audio article
 
45:14
This is an audio version of the Wikipedia Article: William Thomson, 1st Baron Kelvin Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. You can find other Wikipedia audio articles too at: https://www.youtube.com/channel/UCuKfABj2eGyjH3ntPxp4YeQ You can upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts "The only true wisdom is in knowing you know nothing." - Socrates SUMMARY ======= William Thomson, 1st Baron Kelvin, (26 June 1824 – 17 December 1907) was a Scots-Irish mathematical physicist and engineer who was born in Belfast in 1824. At the University of Glasgow he did important work in the mathematical analysis of electricity and formulation of the first and second laws of thermodynamics, and did much to unify the emerging discipline of physics in its modern form. He worked closely with mathematics professor Hugh Blackburn in his work. He also had a career as an electric telegraph engineer and inventor, which propelled him into the public eye and ensured his wealth, fame and honour. For his work on the transatlantic telegraph project he was knighted in 1866 by Queen Victoria, becoming Sir William Thomson. He had extensive maritime interests and was most noted for his work on the mariner's compass, which previously had limited reliability. Absolute temperatures are stated in units of kelvin in his honour. While the existence of a lower limit to temperature (absolute zero) was known prior to his work, Lord Kelvin is known for determining its correct value as approximately −273.15 degree Celsius or −459.67 degree Fahrenheit. He was ennobled in 1892 in recognition of his achievements in thermodynamics, and of his opposition to Irish Home Rule, becoming Baron Kelvin, of Largs in the County of Ayr. He was the first British scientist to be elevated to the House of Lords. The title refers to the River Kelvin, which flows near his laboratory at the University of Glasgow. His home was the red sandstone mansion Netherhall, in Largs. Despite offers of elevated posts from several world-renowned universities, Kelvin refused to leave Glasgow, remaining professor of Natural Philosophy for over 50 years, until his eventual retirement from that post. The Hunterian Museum at the University of Glasgow has a permanent exhibition on the work of Lord Kelvin including many of his original papers, instruments, and other artifacts, such as his smoking pipe. Active in industrial research and development, he was recruited around 1899 by George Eastman to serve as vice-chairman of the board of the British company Kodak Limited, affiliated with Eastman Kodak.
Views: 28 wikipedia tts
Shift Worker iPhone App
 
00:57
Download it now: http://bit.ly/shiftworkerapp Shift Worker is an iPhone/iPod Touch app designed to allow you to quickly and easily manage your work roster or schedule. Traditional calendars are not ideal for shift workers. It's not easy to see your upcoming shift schedule clearly when your shifts fall outside the traditional working week. Shift Worker solves this problem and turns the frustrating task of entry into a quick and easy experience. Combine visually-attractive icons with letters/numbers so that they can be easily identified at a glance. By including a range of icons (such as suns and moons for day and night shifts) in a variety of colors, any combination is possible for all types of shifts.
Views: 18321 shiftworkerapp
Database software | Wikipedia audio article
 
01:03:00
This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Database 00:01:19 1 Terminology and overview 00:05:03 2 History 00:07:25 2.1 1960s, navigational DBMS 00:10:26 2.2 1970s, relational DBMS 00:15:48 2.3 Integrated approach 00:16:56 2.4 Late 1970s, SQL DBMS 00:19:14 2.5 1980s, on the desktop 00:20:17 2.6 1990s, object-oriented 00:21:32 2.7 2000s, NoSQL and NewSQL 00:23:15 3 Use cases 00:23:56 4 Classification 00:32:19 5 Database interaction 00:32:29 5.1 Database management system 00:36:04 5.2 Application 00:36:32 5.3 Application Program Interface 00:37:13 5.4 Database languages 00:39:49 6 Storage 00:41:56 6.1 Materialized views 00:42:33 6.2 Replication 00:43:11 7 Security 00:45:58 8 Transactions and concurrency 00:46:53 9 Migration 00:48:20 10 Building, maintaining, and tuning 00:49:54 11 Backup and restore 00:50:48 12 Static analysis 00:51:35 13 Miscellaneous features 00:53:02 14 Design and modeling 00:56:58 14.1 Models 00:58:31 14.2 External, conceptual, and internal views 01:01:50 15 Research 01:02:47 16 See also Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.8883637121132809 Voice name: en-AU-Wavenet-C "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= A database is an organized collection of data, generally stored and accessed electronically from a computer system. Where databases are more complex they are often developed using formal design and modeling techniques. The database management system (DBMS) is the software that interacts with end users, applications, and the database itself to capture and analyze the data. The DBMS software additionally encompasses the core facilities provided to administer the database. The sum total of the database, the DBMS and the associated applications can be referred to as a "database system". Often the term "database" is also used to loosely refer to any of the DBMS, the database system or an application associated with the database. Computer scientists may classify database-management systems according to the database models that they support. Relational databases became dominant in the 1980s. These model data as rows and columns in a series of tables, and the vast majority use SQL for writing and querying data. In the 2000s, non-relational databases became popular, referred to as NoSQL because they use different query languages.
Views: 20 wikipedia tts
Commerce Data Advisory Council (CDAC) - Oct 28, 2016
 
06:27:29
Follow along on social media using the hashtag #CDACmtg, and learn more about the Council and their work at http://www.esa.gov/cdac/ The Commerce Data Advisory Council (CDAC) has been appointed by Secretary Pritzker to assist the Department of Commerce in revolutionizing their data assets, to empower our data users to become more informed, create a data ecosystem around our data products, and ultimately to foster innovation, create jobs, and drive better decision making.
Commerce Data Advisory Committee Meeting on July 30, 2015
 
08:49:20
The Commerce Data Advisory Council (CDAC) is holding its second meeting at Intel’s Headquarters in Santa Clara, California on Thursday, July 30. Appointed by Secretary Pritzker, the 19-member council provides guidance on areas such as data management practices; common, open data standards; policy issues related to privacy, latency, and consistency; effective models for public-private partnership; external uses of Commerce data; and methods to build new feedback loops between the Department and data users. The council is comprised of leading technologists and data leaders who work for some of the most innovate public and private sector organizations, including: Intel, Google, IBM, LinkedIn, PayPal, Amazon Web Services, City of San Francisco, Indiana University, and more. Throughout the day, Commerce officials will update the council members on the Department's new data initiatives including the U.S. Patent and Trademark Office’s “Open Data Initiative” and the Census Bureau’s income and wealth data project. Commerce Department leaders will also discuss government-wide strategies to recruit tech talent to the public sector and establish new partnerships with industry.
Fall 2015 meeting of the Commerce Data Advisory Council (Day 1)
 
07:02:23
The Commerce Data Advisory Council (CDAC) will discuss environmental data, workforce capabilities to improve data operations, data protection, and other Council matters. The CDAC will meet in a plenary session on October 29-30, 2015. Learn more: http://esa.gov/content/commerce-data-advisory-council-cdac
University of California | Wikipedia audio article
 
50:04
This is an audio version of the Wikipedia Article: University of California Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. You can find other Wikipedia audio articles too at: https://www.youtube.com/channel/UCuKfABj2eGyjH3ntPxp4YeQ You can upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts "The only true wisdom is in knowing you know nothing." - Socrates SUMMARY ======= The University of California (UC) is a public university system in the US state of California. Under the California Master Plan for Higher Education, the University of California is a part of the state's three-system public higher education plan, which also includes the California State University system and the California Community Colleges System. The University of California was founded on March 23, 1868, and operated temporarily in Oakland before moving to its new campus in Berkeley in 1873. In March 1951, the University of California began its reorganization, and in 1952 it became separated as a "university system" from the University of California, Berkeley, with Robert Gordon Sproul being the first system-wide President and Clark Kerr being the first Chancellor of UC Berkeley. Today, governed by a semi-autonomous Board of Regents, the University of California has 10 campuses, a combined student body of 251,700 students, 21,200 faculty members, 144,000 staff members and over 1.86 million living alumni as of October 2016. Its tenth and newest campus in Merced opened in fall 2005. Nine campuses enroll both undergraduate and graduate students; one campus, UC San Francisco, enrolls only graduate and professional students in the medical and health sciences. In addition, the UC Hastings College of Law, located in San Francisco, is legally affiliated with UC, but other than sharing its name is entirely autonomous from the rest of the system. The University of California also manages or co-manages three national laboratories for the US Department of Energy: Lawrence Berkeley National Laboratory (LBNL), Lawrence Livermore National Laboratory (LLNL), and Los Alamos National Laboratory (LANL).Collectively, the colleges, institutions, and alumni of the University of California make it the most comprehensive and advanced postsecondary educational system in the world, responsible for nearly US$50 billion per year of economic impact. UC campuses have large numbers of distinguished faculty in almost every academic discipline, with UC faculty and researchers having won at least 62 Nobel Prizes as of 2017.
Views: 8 wikipedia tts
बवासीर को एक ही दिन में खत्म करने का रामबाण इलाज - Ayurvedic Treatment of Piles In Hindi
 
03:30
बवासीर को एक ही दिन में खत्म करने का रामबाण इलाज - Ayurvedic Treatment of Piles In Hindi In this video I am going to share with you three effective home remedies to treat your piles or hemorrhoids. Ayurvedic Treatment of Piles In Hindi 1. Use Ajwain powder (carom seed powder) in buttermilk. Take ¼ teaspoon of carom seed powder. Add this to a glass of buttermilk with a pinch of salt. Have this everyday to cure your piles. 2. Make a ashe of Nariyal ki jata(coir) and take it with one glass of butter milk. Additional tips - 1. Keep the area clean, bathing daily. Don’t use soap on the area as it will likely just cause irritation. 2. The area in warm water a few times a day for 10-15 minute periods can reduce inflammation and help relieve symptoms. 3. When suffering from either internal or external hemorrhoids, increase your water intake. Try to drink eight to 10 glasses of water per day.
Views: 139565 Beauty Nisha tv
Auburn Coach Wife Kristi Malzahn Agrees with Match & eHarmony: Men are Jerks
 
12:23
My advice is this: Settle! That's right. Don't worry about passion or intense connection. Don't nix a guy based on his annoying habit of yelling "Bravo!" in movie theaters. Overlook his halitosis or abysmal sense of aesthetics. Because if you want to have the infrastructure in place to have a family, settling is the way to go. Based on my observations, in fact, settling will probably make you happier in the long run, since many of those who marry with great expectations become more disillusioned with each passing year. (It's hard to maintain that level of zing when the conversation morphs into discussions about who's changing the diapers or balancing the checkbook.) Obviously, I wasn't always an advocate of settling. In fact, it took not settling to make me realize that settling is the better option, and even though settling is a rampant phenomenon, talking about it in a positive light makes people profoundly uncomfortable. Whenever I make the case for settling, people look at me with creased brows of disapproval or frowns of disappointment, the way a child might look at an older sibling who just informed her that Jerry's Kids aren't going to walk, even if you send them money. It's not only politically incorrect to get behind settling, it's downright un-American. Our culture tells us to keep our eyes on the prize (while our mothers, who know better, tell us not to be so picky), and the theme of holding out for true love (whatever that is—look at the divorce rate) permeates our collective mentality. Even situation comedies, starting in the 1970s with The Mary Tyler Moore Show and going all the way to Friends, feature endearing single women in the dating trenches, and there's supposed to be something romantic and even heroic about their search for true love. Of course, the crucial difference is that, whereas the earlier series begins after Mary has been jilted by her fiancé, the more modern-day Friends opens as Rachel Green leaves her nice-guy orthodontist fiancé at the altar simply because she isn't feeling it. But either way, in episode after episode, as both women continue to be unlucky in love, settling starts to look pretty darn appealing. Mary is supposed to be contentedly independent and fulfilled by her newsroom family, but in fact her life seems lonely. Are we to assume that at the end of the series, Mary, by then in her late 30s, found her soul mate after the lights in the newsroom went out and her work family was disbanded? If her experience was anything like mine or that of my single friends, it's unlikely. And while Rachel and her supposed soul mate, Ross, finally get together (for the umpteenth time) in the finale of Friends, do we feel confident that she'll be happier with Ross than she would have been had she settled down with Barry, the orthodontist, 10 years earlier? She and Ross have passion but have never had long-term stability, and the fireworks she experiences with him but not with Barry might actually turn out to be a liability, given how many times their relationship has already gone up in flames. It's equally questionable whether Sex and the City's Carrie Bradshaw, who cheated on her kindhearted and generous boyfriend, Aidan, only to end up with the more exciting but self-absorbed Mr. Big, will be better off in the framework of marriage and family. (Some time after the breakup, when Carrie ran into Aidan on the street, he was carrying his infant in a Baby Björn. Can anyone imagine Mr. Big walking around with a Björn?)
Views: 198624 Shari Wing
United States  - Wiki
 
01:35:00
The United States of America USA commonly known as the United States U S or America is a constitutional federal republic composed of states a federal district five major self governing territories ... Creative Commons 2.0 Wikipedia.com Beta Test
Views: 2187 Wiki for Blind