text:
Users interested in Monitor eye protection software generally download:
Eyes Relax is a tool that reminds you about taking those breaks. It a very flexible utility, which allows you to specify two independent (short and long) work periods, the length of the breaks, break types, notification sounds and many other settings.
If you work many hours in front of the PC (like me), then a good, healthy advice is to take a rest at determined intervals. This program, as its name suggests, is specially focused on taking care of our eyes. It will remind you to take a break and relax your eyes showing you pictures or making you do visual exercises.
Private Eye is a Windows application which enables users to learn what information is stored on their computers. It gives full control over the information by allowing the user to monitor anything stored on their computer and put it in a "protected storage" area.
Additional suggestions for Monitor eye protection software by our robot:
Search in solutions
Showing results for monitor eye protection as the word software is considered too common
Search instead for monitor eye protection software
It's an all-in-one PC optimization, cleaning and securing utility.
your computer's protection systems – an ... protect your data from prying eyes
WebKeeper monitor your WEB servers automatically to make sure it is accessible.
WebKeeper monitor your ... support monitor password protected websites and ... Keep an eye on your
This product will allow you to train your eyesight during the break.
designed to protect computer users ... of the monitor more than ... comprises the eyes examination
Family Keylogger will let you monitor what people you share your computer.
activity is monitored. Family Keylogger ... ways to protect your child ... your eyes or keep an eye
HDD Observer helps you monitor the health status of your hard disk.
'System Fragmentation Monitoring': HDD Observer ... keep a close eye on ... order to protect your
Protect your network from noncompliant or infected systems.
system security protection, through a ... get a bird's eye view ... Windows devices Monitor and
Covenant Eyes is an Internet accountability and filtering program.
program that monitors the inappropriate ... will start monitoring all ... visit. Covenant Eyes is
It protects your family from harmful content and other dangers on the Internet.
Eyes is a program that protects ... email. Safe Eyes is a ... accounts, or monitor non web
Child Control is a parental control tool for Windows.
keep an eye on what ... application will monitor PC activity ... online, and protect them from
It is a powerful yet easy-to-use PC access control application.
absence; - Protect your child's eyes from ... the PC monitor
This tool helps you easily change the screen brightness.
battery, protect your eyes and the ... of your monitor. If you ... , screen, or monitor too bright
Alchemy Eye continuously monitor network server availability and performance.
Eye continuously monitor network server ... space monitoring, etc. Alchemy Eye automatically
AntiVirus Pro protects your laptops and desktops against malicious threats.
and provides protection against malicious ... keeps an eye on the ... manager can monitor all types
EyesProtector helps you avoid computer eye strain and fatigue.
not. Protect your eyes just from ... circulations around eyes which ... you can monitor the time


text:
Wisconsin Marketing Campaign Plays Off Love of Beer, CheeseNovember 17, 2014 9:44 am | by SCOTT BAUER, Associated Press
Wisconsin's love of beer and cheese will feature in ads that will run on websites geared toward entrepreneurs and investors. The ad campaign that launched this month is the third phase of a multi-year effort begun by the Wisconsin Economic Development Corporation in 2012.
Marijuana Edibles May Face Scrutiny By Colorado Health OfficialsNovember 17, 2014 9:32 am | by KRISTEN WYATT, Associated Press
Marijuana-infused foods and drinks have been a booming sector in Colorado's new recreational marijuana market. But lawmakers feared the products are too easy to confuse with regular foods and drinks and ordered regulators to require a new look for pot edibles.
McDonald's Refuses to Buy USDA-Approved GMO PotatoNovember 17, 2014 9:17 am | by Associated Press
The U.S. Department of Agriculture has approved Idaho-based J.R. Simplot Co.'s new genetically modified potato. But one of the company's oldest business partners — McDonald's — has not. The fast-food giant says it does not use genetically modified potatoes.
18 Killed, 13 Injured in Chinese Carrot-Packaging PlantNovember 17, 2014 9:09 am | by Associated Press
A fire in a carrot-packaging plant has killed 18 people in eastern China. An additional 13 people were injured in the fire Sunday night at the Longyuan Food Co. facility in the Shandong province city of Shouguang.
Kansas City Stadium Food Areas Criticized as 'Dirty'November 14, 2014 5:06 pm | by Associated Press
Cockroaches, mouse feces and unsafe food temperatures; Oh my! Fans at last month's World Series and recent Kansas City Chiefs games were endangered by filthy conditions in food-service areas at the city's two professional sports stadiums.
5 Facilities Win 2014 IPM Partner Awards For Pest ManagementNovember 14, 2014 2:56 pm | by Orkin, LLC
With the ever-evolving audit standards, it is crucial to keep pest management at the forefront of facility operations and audit preparation. These five companies have successfully done so and were named winners of the 2014 IPM Partner Awards.
Consumer Trends: Slice Off a Shot of Pie-Flavored WhiskeyNovember 14, 2014 2:46 pm | by Diageo
Warm baked apples, toasted pecans, the taste of the graham cracker crust on Grandma's homemade pies: all these loveable flavors are hot out of the oven in PIEHOLE — a blend of Canadian Whiskey and pie-flavored liqueur.
What Did Ancient Romans Eat? Archaeologists Find Clues to Varied DietNovember 14, 2014 2:03 pm | by FRANCES D'EMILIO, Associated Press
Archaeologists picking through latrines, sewers, cesspits and trash dumps at Pompeii and Herculaneum have found tantalizing clues to an apparently varied diet there before the eruption of Mount Vesuvius destroyed those Roman cities in 79 A.D.
Cod Restrictions Will Cost Consumers Who Buy LocalNovember 14, 2014 1:49 pm | by PATRICK WHITTLE, Associated Press
Supply from countries like Iceland and Norway, as well as Alaska, is steady enough that a lack of Gulf of Maine cod is unlikely to affect prices overall. But customers who prefer locally caught fish will probably soon have to pay more at markets and restaurants.
Petition Filed to Protect Yellowstone BisonNovember 14, 2014 12:45 pm | by Associated Press
Wildlife advocates have filed a formal petition to protect the wild bison herds. They say the Yellowstone animals face numerous threats; that includes a capture and slaughter program that has killed more than 3,600 bison since 2000 to prevent the spread of disease carried by many bison.
Cold Front Helps Wake Up Wheat, Corn PricesNovember 14, 2014 10:49 am | by Steve Rothwell, The Associated Press
The price of wheat for December delivery climbed 11 cents, or 2 percent, to $5.54 on Thursday, taking its gains for the week to 7.6 percent. If the crop holds its current level it will be the biggest weekly price surge since March.
Pinnacle Foods to Buy Canadian Protein Foods Maker, GardenNovember 14, 2014 10:43 am | by Pinnacle Foods Group Inc.; Garden Protein International Inc.
Pinnacle Foods Inc., maker of Birds Eye frozen brands, announced that it has entered into a definitive agreement to acquire Canada-based Garden Protein International Inc., the rapidly-growing manufacturer of the plant-based protein brand gardein.
Photos: Chef Aims For Gingerbread House World RecordNovember 14, 2014 10:13 am | by VERENA DOBNIK, Associated Press
Special materials are going into the most colorful New York real estate development: 3,550 pounds of royal icing, 700 pounds of candy and 600 pounds of dough. That's what Manhattan chef Jon Lovitch needs to build the world's largest collection of gingerbread houses.
Monsanto Sues Hawaii County Over GMO BanNovember 14, 2014 10:00 am | by Audrey McAvoy, The Associated Press
The lawsuit filed by Monsanto Co. and a Dow Chemical Co. unit in federal court in Honolulu asks a judge to immediately prevent a new law banning the cultivation of genetically modified organisms from taking effect.
Lawsuit Against Capital Brewery DismissedNovember 14, 2014 9:37 am | by Associated Press
Dane County Judge Peter Anderson has dismissed a lawsuit by minority shareholders against Capital Brewery which claimed misconduct by company executives. Anderson says the minority shareholders haven't shown they had standing to sue.
Mass. Regulators Probe State's Beer IndustryNovember 14, 2014 9:30 am | by Associated Press
Investigators for the Alcoholic Beverages Control Commission have issued subpoenas to several breweries, distributors and retailers for records to determine whether they are paying for, or demanding payments for, access to taps and shelf space.
Nutrition Guidelines: Pitfalls of Focusing on Nutrients Instead of Whole FoodsNovember 14, 2014 8:15 am | by Dairy Farmers of Canada (DFC)
The "Straight Talk about Nutrition Guidelines" symposia will look at the challenges posed by the "nutrient-focused" approach used in dietary guidelines, which has largely ignored the impact of real, whole foods on health.
New York Loosens Rules For Craft Beer, SpiritsNovember 14, 2014 8:00 am | by Associated Press
New York is eliminating some restrictions on craft beer, wine and spirits producers to encourage the growing interest in locally made alcoholic beverages.
Minneapolis' Grain Belt Sign Could Shine AgainNovember 13, 2014 2:00 pm | by August Schell Brewing
August Schell Brewing Company, the Minnesota-based brewer of Grain Belt Beer, has reached an agreement to purchase one of Minneapolis' most-recognized landmarks — the iconic Grain Belt Beer sign on Nicollet Island.
PACK EXPO 2014 Attendance Tops 2012 By 6.5 PercentNovember 13, 2014 1:45 pm | by PMMI
Packaging and processing professionals gathered in Chicago last week for PACK EXPO International. With preliminary figures topping 48,600 attendees, the show owner and producer PMMI anticipates recording a 6.5 percent attendance jump over 2012.

subset: commoncrawl


text:
« March 1 March 3 » Thursday, March 2, 1995
Bill On Filing Dates Hurts Independents
March 2, 1995 in Idaho on Page B5 A bill approved by the House on Tuesday and sent to the Senate would require independent candidates to file for election at the same time as party candidates, which one …
Many Understand Courage It Took Mom To Kill Daughter
March 2, 1995 in City on Page B6 Deborah Rockstrom has her supporters. Admirers even. Bagpipes readers have lauded the courage it took for Rockstrom to take her own severely impaired daughter's life. "I only hope I could …
No, The B Isn't The Nba; It's Better
March 2, 1995 in City on Page B6 I think what we did back then is better than anything we will do for the rest of our lives and I don't know if it's fortunate or unfortunate that …
Highway Department Takes Environmental Low Road
March 2, 1995 in Idaho on Page B6 You and I would be drawn and quartered bureaucratically if we acted like the Idaho Transportation Department. In 1990 the ITD tried to rebuild Interstate 90 and wound up burying …
Art Vs. Politics Like Herod Presenting The Head Of John The Baptist, The Republicans In Congress Plan To Chop The Arts, Christopher Knight Says, As A Gift To The Religious Right.
March 2, 1995 in City on Page B6 The Republican plan to demolish the National Endowment for the Arts goes like this: Slash next year's budget by 40 percent, slash another 40 percent the following year and zero …
Art Vs. Politics Artist Leonard Koscianski Contends There'd Be A Renaissance If Congress Killed Nea. Why? Because Its Grants Practice A Damaging Form Of Censorship.
March 2, 1995 in City on Page B6 Much attention has been focused by Congress and the news media on the National Endowment for the Arts, a very small government program with a very high profile. The debate …
Letters To The Editor
March 2, 1995 in City on Page B7 IN THE PAPER Swack's hammered by reporter Sunday's front page article, "Leaving Swack's hammered," has personally insulted me by the irresponsible journalism of Bonnie Harris.
Idaho Records
March 2, 1995 in Idaho on Page B8 For 03-02-1995
It's A Wild Ride At The Bs Girls Session Particularly Strange, With Davenport Needing Comeback
March 2, 1995 in Sports on Page C1 St. John-Endicott forward Andee Schmick (35) picks off a pass intended for Wilbur-Creston's Holly Arden. The Eagles won, 57-47. Photo by Dan Pelle/The Spokesman-Review
Pateros, Dayton Boys Muscle Up; Northwest Christian, Gar-Pal Fall
March 2, 1995 in Sports on Page C1 Sprague-Harrington's Nick Colbert carried the Falcons - and Mabton's Lupe Maldonado - in first round. Colbert scored 16 points. Photo by Colin Mulvany/The Spokesman-Review
Ellis Makes Strides, Growing Into Role As Adna's Big Man
March 2, 1995 in Sports on Page C1 Seven-footer Jeff Ellis (back) ties up Kelly Smith. Photo by Shawn Jacobson/The Spokesman-Review
La Russa In Defense Of Minors Says Minor-Leaguers Won't Be Ostracized For Playing Now
March 2, 1995 in Sports on Page C1 Oakland Atheltics manager Tony La Russa says he won't allow players to be ostracized because they decide to play in exhibition games. In fact, La Russa said Wednesday, he will …
Price Suspends Four Cougars After Frat Brawl Backup Tight End Knuff Cited For Assault; Three Starters Also Off Team Indefinitely
March 2, 1995 in Sports on Page C1 With the start of spring practice nine days away, four members of Washington State's football team were suspended indefinitely Wednesday as a result of their involvement last weekend in a …
Rainwater Hopes To Pour It On
March 2, 1995 in Sports on Page C2 Eastern Washington's Joyce Rainwater will be out to defend her titles in the 55- and 200-meter sprints this weekend as the Big Sky Conference Indoor Track and Field Championships return …
Sports People
March 2, 1995 in Sports on Page C2 Right wing Jaromir Jagr of the Pittsburgh Penguins, who leads the league in scoring, won NHL Player of the Month honors… . Brendan Shanahan of the St. Louis …
Cheap Seats
March 2, 1995 in Sports on Page C2 Clinton
Embattled Unlv Suspends Top Player For Ncaa Violation
March 2, 1995 in Sports on Page C2 Stewart
Big Sky List Shrinks
March 2, 1995 in Sports on Page C2 The list of finalists to replace retiring Big Sky Conference Commissioner Ron Stephenson has been pared from four to three. Southwest Conference Associate Commissioner Kyle Kallander was dropped after last …
Injured Seahawk Gains
March 2, 1995 in Sports on Page C2 Mike Frier, the Seattle Seahawks tackle paralyzed from the waist down, can now grasp a pen and write without using a special wrist attachment. Frier, 25, has been undergoing rehabilitation …
Women Launch New Boat
March 2, 1995 in Sports on Page C2 The first women's crew in America's Cup history hopes it finally has the great equalizer. After two months of chasing its competition around the race course with a 3-year-old yacht, …
Stricken Boxer Stable
March 2, 1995 in Sports on Page C2 Doctors kept boxer Gerald McClellan heavily sedated for the fourth day in a row after a battering in a world title fight left him in critical condition with a serious …
Naismith Finalists Set
March 2, 1995 in Sports on Page C2 Five men and five women were selected as finalists for the Naismith College Basketball Player of the Year awards. The men were Shawn Respert of Michigan State, Corliss Williamson of …
March 2, 1995 in Sports on Page C2 Alabama businessman Elliot Maisel has withdrawn his offer to buy the Ottawa Rough Riders. Canadian Football League spokesman Mike Murray said Maisel pulled out of a tentative agreement to buy …
Minor Leaguers Fly Home For Free
March 2, 1995 in Sports on Page C3 Another civil bargaining session produced no breakthroughs Wednesday, and striking major leaguers decided to pay the way home for minor leaguers kicked out of spring training for backing the union. …


text:
Azure 4 Researchhttp://blogs.msdn.com/b/azure_4_research/atom.aspxTelligent Evolution Platform Developer Build (Build: 5.6.50428.7875)2013-09-14T20:33:07ZGo faster on Azure with new D-Series virtual machineshttp://blogs.msdn.com/b/azure_4_research/archive/2014/09/25/go-faster-on-azure-with-new-d-series-virtual-machines.aspx2014-09-25T18:46:28Z2014-09-25T18:46:28Z
Faster processors, more memory and SSD hard drives... The new D-Series virtual machines on Azure are ideal for many compute and data-intensive research applications. They offer up to 112GB RAM, 800 GB SSD temporary hard drives, and 60% more speed. Find out more details at http://azure.microsoft.com/en-us/updates/d-series-virtual-machine-sizes/

ktakedahttp://blogs.msdn.com/ktakeda1_4000_msn.com/ProfileUrlRedirect.ashxAnnouncing 47 new Azure Research Awardshttp://blogs.msdn.com/b/azure_4_research/archive/2014/05/08/announcing-47-new-azure-research-awards.aspx2014-05-08T21:56:11Z2014-05-08T21:56:11Z
On April 15 we closed submission for the Microsoft Azure for Research Award program. After a careful review we are very pleased to announce 47 new awardees. These project cover a huge range of topics in wide variety of research domains. We continue to be amazed by the creativity of the research community in finding new ways to use the power of the cloud to explore new ways to advance scientific exploration and collaboration. The awarded researchers, their institutions and the proposal titles are listed below ordered by region and country. To read the abstracts for these and all 180 of the current projects go to our website.

If you have not applied yet we have another deadline for proposals on June 15, 2014. We are already seeing submissions come in for that deadline! Check it out here.

The Climate Data Initiative

Also remember we have a special call requests proposals from scientists and decision-makers for solutions that support the White House Climate Data Initiative's goals of preparedness for and resilience to climate change impacts. Twelve months of free Microsoft Azure cloud-computing resources—including up to 180,000 hours of cloud-computing time and 20 terabytes of cloud storage—will go to 40 awardees selected from proposals submitted by the due date of June 15, 2014.

The April 15, 2015 Azure for Research Awardees.

Asia Pacific

Rajkumar Buyya, The University of Melbourne, Australia
Programming Model and Framework for Internet of Things Applications on Clouds

Samuel Marks, Macquarie University, Australia
SkinDeep

Wei Song, Queensland University of Technology, Australia
E-Health Initiative for Women's Wellness after Cancer

Zhiyong Wang, University of Sydney, Australia
Scalable content based video retrieval in the cloud

Wu Jun, Tongji University, China
Research and application of cloud media based on hybrid cloud

Eric Lo, Hong Kong Polytechnic University, Hong Kong
Parallel Analytics as a Service: The Shared-Process Approach

Lei Chen, Hong Kong University of Science of Technology, Hong Kong
Efficient Functionality Structure Discovering Over Distributed Graphs

Ting Fung Ma, The Chinese University of Hong Kong, Hong Kong
Likelihood-Based Methods For Change-Point Estimation In Spatial-Temporal Models On The Cloud

Sudharsan Dhanachandran, University of Tokyo, Japan
Service Innovation for Sustainable Smart Agriculture (SISSA)

Mahesh, BrainWorks, Nepal
Development of Bio gas and natural energy

Asankhaya Sharma, National University of Singapore, Singapore
Appliance for Software Verification Research

Europe, Russia and Africa

Horacio Gonzalez-Velez, National College of Ireland, Ireland
ParaPhrase: Parallel Patterns for Adaptive Heterogeneous Multicore Systems

Romana Žihlavníková, Palacky University in Olomouc, Czech Republic
Do they see me? – moral acting induced by self-awareness on the internet.

Radu Gatej, University of Copenhagen, Denmark
The Copenhagen Networks Study/SensibleDTU/Social Fabric

Hocine Cherifi, Universite De Bourgogne, France
Community Structure Analysis In Complex Networks

Masoud Saeida Ardekani, Inria & Université Pierre et Marie Curie, France
Consistency Trade-Offs In Geo-Replicated Transactional Systems

Dirk Hähnel, Universität Göttingen, Germany
Big Data for Imaging and Spectroscopy - Lifetime Imaging Computation

Hans-Arno Jacobsen, TU-München, Germany
DOaaS – Distributed Optimization as a Service

Samuel Silva, University of Aveiro, Portugal
Cloud Based Framework to Support Speech Production Studies

Sergey Gerasimov, Moscow State University, Russia
Science VM - R&D of Machine Learning Algorithms for Big Data

Daniel Lorenčík, Technical University of Košice, Slovakia
Cloud robotics – Object recognition and multi-agent robot system

JP Barnard, Stellenbosch University, South Africa
Building an Azure MATLAB Cluster for Process Monitoring and Fault Diagnostic Research

Henrik Nordborg, University of Applied Sciences (HSR) Rapperswil, Switzerland
Numerical simulation of industrial plasmas

Nabil Abdennadher, University of applied sciences, western Switzerland, Switzerland
iCeBOUND

Alexander Brownlee, University of Stirling, UK
Integrated Airport Operations Optimisation

Federica Sarro, University College London, UK
Software Fault Prediction as Microsoft Azure Service

Juan Antonio Añel Cabanelas, University of Oxford, UK
Climate Prediction Azure Cloud: extremely demanding climate modeling using cloud computing and virtual machines

Susheel Varma, University of Sheffield, UK
VPH-Share Science VMs: Patient-Centred Multi-scale Cloud-Enabled Computational Workflows

Syed Islam, University College London, UK
Azure ORBS: Language-Independent Program Slicing in Microsoft Azure

Yue Jia University College London, UK
Higher Order Mutation Testing in Microsoft Azure

North America

Abhishek Gupta, University of Illinois at Urbana Champaign, US
Adaptive Runtime for HPC in Cloud

Andrew Sallans, Center for Open Science, US
Windows Azure Add-On for the Open Science Framework

Eamon Duede, University of Chicago, US
How do scientific conventions influence creativity and innovation?

Gregory Laughlin, University of California at Santa Cruz, US
Characterizing the Gliese 876 Planetary System

Ioan Raicu, Illinois Institute of Technology, US
Implicitly-Parallel Functional Dataflow for Productive Cloud Programming on Windows Azure

Jeffrey Richey, University of Washington, US
CDI: A Cloud-based Dynamic Information Framework for Water Resources and Landscape Management in Espírito Santo, Brazil

Joshua Peschel, University of Illinois at Urbana-Champaign, US
4D Modeling and Visualization of Agricultural Crop Sub-Canopy Environments

Murat Demirbas, University at Buffalo, SUNY, US
Panopticon: An Omniscient Lock Broker for Efficient Distributed Transactions in the Datacenter

Paul Fodor, Stony Brook University, US
WATCHMEN, a Firewall for App Store through distributed Data mining and Analysis

Raghavendra Polakonda, Wright State University, US
Information Presentation on Mobile Devices for Plant Operations

Ragib Hasan, University of Alabama at Birmingham, US
ASUZ: An Azure-based Spam URL Analyzer Platform for Rapid Detection of Phishing Websites

Seon Kim, University of Southern California, US
Cloud-based MediaQ for Big Data in Social Media

Shubhabrata Mukherjee, University of Washington, US
A systems-biology approach to identify and prioritize sub-networks of functionally-related genes for Alzheimer's Disease

Sohail Murad, University of Illinois at Chicago, US
US-Lebanon Collaboration: Proof of Concept Studies for Using Molecular Simulations to Improve Membrane Based Separations.

Vijay Ivaturi, University of Maryland, Baltimore, US
Improving HealthCare Performance via Therapeutic Management Dashboards

Yi Chao, University of California, Los Angeles, US
On-Demand Ocean Forecast for Maritime Search and Rescue Operations Enabled by Microsoft Azure Cloud

Youngmoo Kim, Drexel University, US
Large-Scale Music Information Retrieval using Microsoft Azure for Research

Dennis B Gannonhttp://blogs.msdn.com/dennis.gannon_4000_live.com/ProfileUrlRedirect.ashxA Wrap-up of the 2014 eScience in the Cloud Workshophttp://blogs.msdn.com/b/azure_4_research/archive/2014/05/05/a-wrap-up-of-the-2014-escience-in-the-cloud-workshop.aspx2014-05-05T18:31:06Z2014-05-05T18:31:06Z
Dennis Gannon & Kristin Tolle, Microsoft Research

On April 29th and 30th, 2014 Microsoft Research hosted the eScience in the Cloud workshop. We had two days of great talks and discussion covering the critical themes that surround doing eScience in the cloud. Our goal was to explore the topics that were common to many disciplines. These included the general challenges of processing big data and machine learning, building collaborations and communities that can share resources, streaming data and its implications, the emerging academic discipline of data science, the challenges of building future massive, efficient data centers, and how to extract data from information. We were fortunate to have a great list of speaker from our academic community friends and inside Microsoft, including a great keynote from Raghu Ramakrishnan, one of Microsoft Technical Fellows and a very well-known data science researcher.

The audience consisted of about 70 local participants and several hundred remote participants who watched the live streaming. Of course because of time zone challenges, not everybody could watch the streaming at all times. Fortunately we were able to record the entire workshop from the streaming video and, for those of you that missed it, we can share it with you now. Below is the list of presentation and links to the videos for each session in the order that they appeared.

We feel that we are now entering into a time when cloud computing can truly making a difference for the way we do science. But we are just at the beginning.

Opening Remarks and Keynote Talk

Raghu Ramakrishnan

Moderator: Dennis Gannon, Microsoft Research

Scale-Out Beyond Map-Reduce, Raghu Ramakrishnan, Microsoft Technical Fellow

Analytics-Analysis-Simulation

Marty Humphrey and Roger Barga

Moderator Wenming Ye, Microsoft Research

Big Data and Machine Learning, Roger Barga, Microsoft

Experiences using Microsoft Azure to Analyze and Visualize Large-Scale Environmental Data Marty Humphrey, University of Virginia

Accelerating Data-Intensive Genomics Analysis in the Cloud, Wuchun Feng, Virginia Tech.

Communities in the Cloud

Kenji Takeda, Steven Roberts, Evelyne Viegas, Tanya Berger-Wolf, and Chaitan Baru

Moderator: Kenji Takeda, Microsoft Research

Collaborative Genomic Data Analyses in the Cloud Steven Roberts, University of Washington

CodaLab—Learn, Share and Collaborate, Evelyne Viegas, Microsoft Research

Ecological Information System, Tanya Berger-Wolf, University of Illinois Chicago

The EarthCube Cloud Commons Working Group, Chaitan Baru, San Diego Supercomputer Center

Streaming Environmental Data

Jie Liu, Yung-Hsiang Lu, and John Krumm

Moderator: Harold Javid, Microsoft Research

Cloud-Offloaded GPS for Energy Efficient Localization Jie Liu, Microsoft Research

Cloud computing for analyzing many data streams, Yung-Hsiang Lu, Purdue University

What Can We Do with Your Location History? John Krumm, Microsoft Research

Data Science

Dennis Gannon, Merce Crosas, Bill Howe, Gabriel Antoniu, and Alex Wade

Moderator: Dennis Gannon, Microsoft Research

Data Publishing and Data Analysis Tools on the Cloud, Merce Crosas, Harvard

Data Science Environment at the University of Washington eScience Institute, Bill Howe, University of Washington

Scalable Data-Intensive Processing for Science on Azure Clouds: A-Brain and Z-CloudFlow

Gabriel Antoniu, INRIA, France

Deploying a CKAN Data Repository in Azure, Alex Wade, Microsoft Research

Leading Edge of the Cloud

David Gauthier, Victor Bahl, Albert Greenberg, and Jonathan Goldstein

Moderator: Kenji Takeda, Microsoft Research

Data Center Design Issues, David Gauthier, Microsoft

Cloudlets, Victor Bahl, Microsoft Research

Thoughts on Cloud Networking, Albert Greenberg, Microsoft

The Leading Edge for eScience, Jonathan Goldstein, Microsoft Research

Information from Data

Vani Mandava, Shahrokh Mortazavi, Geoffrey Fox, and Jeff Zhang

Moderator: Vani Mandava, Microsoft Research

Comparing Big Data and Simulation Applications and implications for software environments Geoffrey Fox, Indiana University

Extending the power of Excel with Power BI and Power MapDan Parish,

MicrosoftTools of the eScience trade (and also how to get them going on Windows!) Shahrokh Mortazavi, Microsoft

Keynote and closing remarks

Daron Green

Moderator: Kristin Tolle, Microsoft Research

Windows Azure for Research and Beyond, Daron Green, Microsoft Research

Dennis B Gannonhttp://blogs.msdn.com/dennis.gannon_4000_live.com/ProfileUrlRedirect.ashxAzure for Research on Curah!http://blogs.msdn.com/b/azure_4_research/archive/2014/03/31/azure-for-research-on-curah.aspx2014-03-31T22:38:39Z2014-03-31T22:38:39Z
In pulling together some of the resources we have for the Azure for Research program – I decided to utilize Cuarh! - Curate the web and share what you know site to aggregate some of the links and related sites to the overall effort.  If you have other suggestions to add to the list – please add it to the comments.

Azure for Research - Curah!

Dan_eSciencehttp://blogs.msdn.com/Dan-Fay/ProfileUrlRedirect.ashxWindows Azure training for researchers–Now available onlinehttp://blogs.msdn.com/b/azure_4_research/archive/2014/03/28/windows-azure-training-for-researchers-now-available-online.aspx2014-03-28T17:35:34Z2014-03-28T17:35:34Z
Today we've made online versions of the Windows for Azure training for researchers available to complement the availability of all the course materials.  Also if you have the ability to attend the training in person – there are many sessions coming up.

New online Windows Azure training for researchers

 The global Windows Azure for Research program has been going strong for almost six months, and we've been delighted by the response from the researchers around the world who have eagerly attended our in-person training events. Today, we are pleased to announce an online version of the training.

New online Windows Azure training for researchers - Microsoft Research Connections Blog - Site Home - MSDN Blogs

Dan_eSciencehttp://blogs.msdn.com/Dan-Fay/ProfileUrlRedirect.ashxNew Azure for Research Awards Announced.http://blogs.msdn.com/b/azure_4_research/archive/2014/03/13/new-azure-for-research-awards-announced.aspx2014-03-13T23:41:01Z2014-03-13T23:41:01Z
Every other month we have a deadline for proposal for our Azure for Research Program. And on the 15 of the month we have a small committee that reviews the proposals and we receive a lot of them. We were very excited by the quality of this batch of proposals. We selected 38 proposals for the awards in this round. The authors, titles and abstracts are listed below (ordered alphabetically by first name). Remember our next deadline is April 15, 2014.

Also please note that we have a special request for proposals for projects that are interested in building linux virtual machine images for research that can be contributed to our Opentech VMDepot. We have postponed that deadline to April 15. More information is available at the project home page.

The February 15 Proposal Awardees

Alvaro Soto Arriaza, Pontificia Universidad Catolica de Chile, Chile
Title: Cloud-based Visual Ontology for Contextual Visual Recognition.
Abstract: The goal of this proposal is to build and test a visual ontology that is able to use visual information extracted from an image by state-of-the-art inductive detectors and refine it using common sense semantic networks in order to obtain meaningful descriptions on scenes and deducting contextual information. The visual ontology will work by mixing information from big visual databases and common sense semantic networks.

C. Titus Brown, Michigan State University, United States
Title: Open assembly and analysis of large sequencing data sets.
Abstract: We propose to execute existing cloud computing pipelines for de novo sequence assembly in the Azure cloud on a substantial number of data sets. We have three goals: first, improve the breadth of our knowledge about the natural world by making useful summary analyses available for existing and new data sets; second, execute well-defined and open protocols on the data, and retain detailed provenance information; and third, drive open biological science forward by analyzing people?s data in exchange for making it open.

Chao Wang, Tsinghua University, China
Title: Intelligent Sustainable Navigation Services (ISUNS)
Abstract: The objective of this research is to improve the eco-efficiency of overall urban transport decision-making by maximizing the access gained and information support from a given level of vehicular travel with providing citizens with safe, healthy, pleasant and well-informed urban travelling experience. The researchers will examine factors such as high urban residential density, travel styles, alternative options, costs, time consumptions, and travel experiences, etc. to develop a navigation system based on behavior-patterns. This proposal might also be associated with various policy changes.

Chaowei Yang, GMU, United States
Title: Spatial Cloud Computing: A Practical Approach
Abstract: Cloud Computing is redefining the possibilities of many geoscience disciplines. We wrote a book to introduce cloud computing to the geoscience communities. The book includes slides and hands-on examples for deploying, optimizing, and operating applications in cloud to serve as a text. This proposal is to develop a Microsoft Azure version of the examples so that the geoscience communities can not only learn how to use other cloud services, but also could stand up their own geoscience applications in Azure when finishing reading the book.

Chih-Yuan Yang, University of California, Merced, United States
Title: Single-Image Super-Resolution: A Benchmark
Abstract: A large-scale experiment is proposed to test state-of-the-art single-image super-resolution algorithms in order to build a systematic performance benchmark of existing methods. Due to the tremendous computational load, the experiments are best executed on a scale extendable computing platform such as Windows Azure. We have implemented several algorithm for run the experiments. The generated results will be the content of a paper submitted to a top-tier computer vision conference.

Conghui Zhu, Harbin Institute of Technology, China
Title: Chinese Minority Ethnic Languages Translation.
Abstrract: We plan to develop a Chinese Minority Ethnic Languages statistical translation system which at least supports three languages cooperated with Microsoft Research Asia. The first step is resources gathering, included: seed gathering, and parallel sentence crawling, extracting, evaluating from internet. The statistical translation system training and tuning are the next step which needs huge computations. Finally a translation API is supported to help people Exchange information equally.

Dariusz Mrozek, Silesian University of Technology, Gliwice, Poland
Title: Cloud4Psi. Cloud Computing in the Service of 3D Protein Structure Similarity Searching
Abstract. 3D protein structures exhibit high conservation in the evolution of organisms, and even if protein sequences diverged significantly, finding structural similarities allows to draw conclusions on functional similarity of proteins in various, sometimes evolutionary distant organisms. However, popular methods that allow searching for protein structure similarities are still very time-consuming. The similarity searching against large repositories of structural data requires increased computational resources that are not available for everyone. Our project addresses the problem. We are going to develop the cloud-based system that will be a highly-scalable and high-performance solution for protein similarity searching and for protein function identification.

Derrick Crook, University of Oxford, UK
Title: Modernising Medical Microbiolgy
Abstract: The Modernising Medical Microbiology Consortium which is at the forefront of translating pathogen whole genome sequencing into clinical practice is seeking to develop new rapid methods for analysing genomic sequence linked to clinical record data on a very large scale. The opportunities offered by access to the Microsoft Azure technologies will enable first in class experiments to be successfully completed. These will involve processing greater than 10,000 pathogen genomic sequences to unravel the evolution and spread of organisms fast enough to use the data clinically. New methods will also be developed to enable routine use in hospitals and medical services.

Didier Donsez, Universit' Joseph Fourier - Grenoble 1, France
Title: CIRUS : A Cloud Infrastructure for Real-time Ubilytics
Abstract: The Internet of Things (IoT) has become a reality with the availability of chatty embedded devices. The huge amount of data generated by things must be analyzed with models and technologies of the "Big Data Analytics", deployed on cloud platforms. The CIRUS project aims to deliver a self-adaptive cloud-based infrastructure for real-time ubilytics (ubiquitous big data analytics). The CIRUS infrastructure collects and analyzes IoT data for M2M services using COST such as M2M gateways (OpenHAB, PeerGreen, ?), Message brokers (Mosquitto, RabbitMQ, JORAM, ?) or Message-as-a-Service providers and Analytics frameworks (Hadoop, Storm, S4, Samza) deployed and reconfigured dynamically with RoboConf.

Eduardo Alves do Valle Jr., School of Electrical and Computer Engineering - FEEC, UNICAMP,
Title: Medical Image Classification for Computer Aided Diagnosis with Deep Learning and Jumbo Vectors
Abstract: Information retrieval and content-based image classification has been studied by the scientific community in many different ways. A key application of this technology is Computer-Aided Diagnosis (CAD), improving doctor's abilities to detect or prevent several diseases. Our aim is to advance the state of the art in CAD systems, for the screening of pathologies based upon medical images, focused on the early screening of melanoma. The techniques covered by this project involve the benefits of Deep Learning Architectures and Bag of Visual Words models, which show complementary advantages.

Eoin O'Grady, Marine Institute, Ireland
Title: Irish Digital Ocean - SMART Marine Research Platform
Abstract: The Irish Digital Ocean - SMART Marine Research Platform is a cloud environment tailored for data-intensive collaborative marine research and innovation. The platform has the potential to significantly improve the effectiveness of marine research, at team, organizational, national and international level, and lead to the development a vibrant marine research and innovation ecosystem. The platform will focus on collaborative research, the reuse of marine digital assets and translation of research outputs to new products and services. The platform will be a key component in the research stream of the wider Irish Digital Ocean (IDO) framework.

Hans J Johnson, The University of Iowa, United States
Title: Azure Cloud Testing and Algorithm Reproducibility in Medical Image Analysis.
Abstract: We propose the application of 200,000 CPU hours and 30 terabytes of storage to run CDash builds of proposed patches to ITK, reproducibility tests of Insight Journal submissions, and reproducible analysis for ITK community members.

Huy T. Vo, New York University, United States
Title: Building a 3D Model for New York City using LiDAR data.
Abstract: The benefits of having an accurate model of New York City (NYC) are enormous in many research areas of urban informatics, which often uses spatial correlation of multiple data sources to better understand how cities work. Unfortunately, there is no 3D model available to the researchers in urban informatics. Instead, we have approximately 20 billions LiDAR points (1TB of raw disk space). The project is to construct an actual 3D model of NYC from this massive point cloud. Given the size and complexity of the computing involved, we request to use Windows Azure to support this computation.

Jason Slepicka, University of Southern California United States
Title: Big Karma
Abstract: Karma is an open source information integration tool that learns how to assist users in cleaning and normalizing data, modeling its semantics, and publishing it in a variety of forms including RDF for the Linked Data Cloud. In order to handle much larger datasets in size and complexity, we are in the process of moving Karma's machine learning algorithms and processing to the cloud. By moving to Windows Azure, Karma would gain access to a scalable Hadoop environment and free users from managing scaling infrastructure. This will make Karma more capable and available for far more users than otherwise possible.

Jiamin Xu, Shanghai Jiao Tong University, China
Title: Unsteady Aerodynamics and Aeroacoustics of Slat Morphing Trailing Edge.
Title: The objective of this proposal is to investigate issues related to flow control optimization based on large scale unsteady aerodynamic simulations combined with multi-level optimization strategies using Cloud resources. The research issues are representative of the challenges faced with aerospace design community when high-fidelity unsteady simulation models are considered.

Judy Qiu, Indiana University, United States
Title: Extending Twister4Azure and Integration with Apache Big Data Stack.
Abstract: We have shown that Iterative MapReduce is a powerful programming model for data intensive applications on both cloud and HPC platforms. We have developed Twister4Azure which is an implementation of these ideas on Azure. Our recent work has focused on a generalization of MapReduce to a Map-Collective model where the "reduce" phase in MapReduce is supported by a library of powerful optimized collective communication routines covering operations like (all)reduce, scatter, gather, broadcast, regroup, combine, and merge, which cover the key primitives in MapReduce and MPI. We showed that the same collectives could be added to Hadoop with a significant performance increase. Our optimized broadcast collectives for Twister enabled clustering with millions of centers. We integrate these ideas and request Azure time to perform the cloud-based Map-Collective research.

Kui Ren, University at Buffalo, State University of New York, United States
Title: The Power of Indoor CrowdIndoor - 3D Maps from the Crowd
Abstract: In this work, we address a critical task of reconstruct indoor large-scale 3D model from crowd-sourced images. We propose, design, and try to implement IndoorCrowd, a smartphone empowered crowdsourcing system for large-scale indoor 3D scene reconstruction. IndoorCrowd fills a gap in current cloud-based 3D reconstruction systems as it ensures at mobile side that the captured image set fulfills desired quality for indoor large-scene 3D reconstruction. At the cloud side, we deploy an automated image-based 3D reconstruction pipeline, which generates 3D models from images and sensor data.

Lawrence A. Husick, Quantum Cures Foundation, United States
Title: Cloud Based Drug Discovery for Malaria.
Abstract: Quantum Cures Foundation is a nonprofit that discovers new drugs for known disease targets and provides those new drug designs to the research community as "open source" for further development (see www.quantumcures.org). The design of new drugs is based on a cloud computing platform with high fidelity molecular modeling which is provided to Quantum Cures by TeraDiscoveries (www.teradiscoveries.com). The drug discovery platform, called Inverse Design, has been validated and runs on Azure. For this project, we propose to design a new drug to combat Malaria by inhibiting three different mutations of the known Malaria protein target pfDHFR-Ts.

Lianwen Jin, South China University of Technology, China
Title: FaceMore: An Innovative Facial Beautification Web Service based on Windows Azure.
Abstract: This project aims at building an online, elastic scalable, fast deployed system, FaceMore, that can deal with personalized face beautification on various scales of face data sets by taking advantages of special features provided Windows Azure and integrating the advanced face beautification technology. It is expected that this system may make full use of large amount of data, support large concurrent processing and provide unique functions like personalized face beautification and various special face effects based on the data driven average face hypothesis and the region-aware mask based facial beautification algorithm.

Long Quan, The Hong Kong University of Science and Technology, Hong Kong
Title: Large-scale Three-dimensional Urban Reconstruction.
Abstract: In this project, we propose a fully-automatic method for large-scale urban scenes 3D reconstruction based on the input images captured both at the ground level and the low latitude air using Windows Azure.

Matthew Graham, California Institute of Technology, United States
Title: A study of quasar variability.
Abstract: Quasars are one of the most important class of astronomical objects and are highly variable. However, the mechanism of their optical variability is poorly understood. We propose a definitive study to model the time series of 200000 quasars to determine the best-fitting stochastic description of their variability and look for correlations between variability features and physical parameters, such as black hole mass, that will help distinguish between different possible variability mechanisms.

Meng Xianhai, Beihang University, China
Title: A Cloud based platform for virtual geologic Earth.
Abstract: Geologic data and models have typical characteristics of big data. In this project, we aim to develop a cloud based platform for virtual geologic earth, which can be used to collect the geologic data and models, index them by unified spatial data model, and share them by visualization. The spatial data model is designed to manage different types geologic raw data and various models, and define the corresponding spatial index and file format. The cloud computing technology by Windows Azure is used to implement distributed data conversion, files storage and models release.

Michael Epitropakis, University of Stirling, UK
Title: Efficient Regression Test Optimization in Windows Azure
Abstract: The goal of the proposed research project is to develop novel search-based optimization methodologies that can improve the regression testing phase of a software project, in an automatic and cost-effective way. To adequately cater for real world regression testing cases, a multi-objective formulation is utilized, which enables us to test and study different properties of the system under test. The usage of the Windows Azure platform allows to tackle regression testing scenarios on large-scale open source software projects. Any developments toward this direction will help the software testing community to deal with regression testing scenarios as efficiently as possible.

Nando de Freitas, University of Oxford, UK
Title: Deep Learning on the Cloud.
Abstract: We plan to capitalize on a recent breakthrough in machine learning to build efficient parallel algorithms to train massive deep neural networks. If successful, this project will enable users to build deep learning applications on the cloud, thus significantly advancing AI.

Robert Boissy, University of Nebraska Medical Center, United States
Title; Secure, timely, open, pro bono cloud-based data management and analysis services for the molecular detection and continuous international molecular surveillance of known and emerging pathogens.
Abstract: Global health and agricultural and economic development would all benefit from the cloud-based deployment of secure, timely, open, pro bono data management and analysis services that are designed to help the physicians, veterinarians, agronomists, biologists, and related scientists and public officials responsible for studying and responding to known and emerging human, animal, and plant pathogens. This proposal describes the development and deployment of a limited number of such services. More importantly, the formation of a computing industry coalition is also proposed that could ensure that these and other similar cloud-based services are further developed, enhanced, and maintained.

Role, Paris Descartes University, France
Title: Azure-based Text Mining Tools for Genome-wide Association Studies
Abstract: The goal of the project is to develop and deploy on the cloud a set of robust, easy-to-deploy text mining tools to assist researchers in the analysis and interpretation of large-scale results coming from genome-wide association studies (GWAS).

Said Kharbouche, University College London, UK
Title: Online GlobAlbedo's Data Analysis and Visualization.
Abstract: In our GlobAlbedo project of daily earth surface's albedo mapping, we have developed an unique method for extracting and visualizing ROIs (Region Of Interest) on a single server on a first come, first served process. We would like to exploit the Microsoft-Azure cloud computing environment to reduce to as short as possible the system's response time to allow our end-users to be able to visualize, analyze and download the data regardless of the ROI size or the number of simultaneous requests all in the shortest possible time period.

Sergey Chernov, New Economic School, Russia Enabling Large-Scale Social Network Analysis using VK Data Social media ecosystem attracted a great deal of research attention in the past decade. Numerous research projects aim at large-scale analysis of available online networks, including worldwide-popular resources like Facebook, Twitter, etc. Still, these studies fall short to address countries, in which aforementioned networks are not the most widespread ones. In particular, Russian social network VK has about 220 mln active accounts, but it is mostly ignored in research literature. We would like to collect and process VK data into a publicly available research dataset to provide interested scientists with an easy access to the social network data on Russia.

Srikumar Venugopal, University of New South Wales, Australia
Title: Scalable Protein Sequence Similarity Search for Metagenomics
Abstract: Metagenomics is the study of uncultured microorganisms from their habitats. In recent years, so-called next-generation sequencers have boosted the speed at which genomes can be sequenced from environmental samples. This in turn has led to a deluge in the amount of available metagenomic data. A key step in the study of metagenomic data is sequence alignment, that is computationally-intensive over large datasets. Tools such as BLAST require large-scale dedicated computing infrastructure for such analysis. We introduce ScalLoPS, a new tool designed to scale protein sequence alignment across cloud resources. This project proposes evaluating ScalLoPS against BLAST for Windows Azure using metagenomic datasets.

Tai-Quan Peng, Nanyang Technological University, Singapore
Abstract: Tracking Social Happiness on Twitter: A Multi-level Study
Abstract: It is a long-standing interest among the public and researchers to observe and explain individuals' happiness. The project will mine rich time-stamped information stored on Twitter, which are objective and real-time records of user's subjective feeling, to fulfill three objectives: (1) developing and testing a time-variant and domain-specific Happiness Index of Twitter (HIT) at both individual and societal levels; (2) modeling the dynamics of HIT at both individual and societal levels; and (3) uncovering causal mechanisms underlying the dynamics of HIT.

Thanh N. Truong, University of Utah, United States
Title: Engaging Citizen Scientists in Computer-Aided Drug Discovery.
Abstract: Azure cloud computing can open new opportunities for citizen scientists to engage in the actual scientific discovery. The development of e-Science Community Laboratory, a cloud-enabled web portal allows the public to contribute to computer-aided drug design research, and is accessible anytime, anywhere, and by anyone. It uses the crowdsourcing technology to create a social network of citizen scientists within the existing social networks. This is done by changing the virtual drug screening process into a game that allows interested individuals to play against others on who can pick a better drug candidate for a certain disease target.

Viswanath Nandigam, University of California San Diego, United States
Title: Integration of cloud based on-demand geospatial processing services into community earth science data facilities.
Abstract: OpenTopography is a NSF funded earth science facility that provides online access to high-resolution topography data and tools. By leveraging the underlying SOA design of the OpenTopography system, we plan to develop a pluggable services infrastructure that will allow processing routines developed by the community on external cloud resources like Azure to be plugged into the existing OpenTopography system workflow so that the entire community of users can benefit from the new functionality e.g. change detection, differential analysis and time series analysis between datasets.

Xueming Qian, Xi'an Jiaotong University, China
Title: Schedule Travel Life by Exploring Spectrums of Social User and City Services.
Abstract: Make a schedule for a short-medium term travel user by exploring users' social community and services of locations of destination cities is very important. In this proposal, 1) we propose to mine social users' preferences/life-spectrum using the community-contributed information from their travel history and check in history in their residents. 2) we propose to mine city services/activity spectrum from the crowd-source contributed by world-wide users including the check-in data of local residents (comments, geo-locations etc), and the travel information from users? shared photos and travelogues. 3) we propose to recommend users preferred services/activities according to the temporal-geo-social spectrum similarities. 4) we provide an objective/overall summarization of the local services for improving the services qualities. The problems we need to solve are as follows: 1) how to mine users? preferences; 2) how to mine city services spectrum; 3) how to recommend user personalized services/activities when in an unfamiliar city; 4) how to recommend user personalized events (sequential services) Outputs of this project are as follows :1) provide a solution to schedule personalized travel life by exploring spectrums of social user and city services, 2) provide objective feedback for local services department to improve services quality by summarizing the comments/evaluations from world-wide users, 3) publish several papers and show demos in important international conferences, 4) share our datasets for researchers in this area , 5) train 5 MSD/PhD students in this research area.

Yang(Jon) Zhang, Cornell University, United States
Title: BioHPC Azure Integration.
Abstract: With new next generation sequencing techniques producing ever increasing amounts of data, demand for HPC resources for biological research have increased as well. BioHPC was created at Cornell CBSU in part to address this demand. We believe that an Azure based cluster will further increase the flexibility of BioHPC allowing the users to access a much larger pool of computational resources, and also help reduce the cost and simplify the process of installing future instances of BioHPC.

Yingchi Mao, Hohai University, China.
Title: Safety and efficient utilization of hydropower development in Lancang river based on Windows Azure.
Abstract: Based on the dam safety analysis and evaluation results of XiaoWan and Nuozhadu Hydropower station in Lancang River, we will analyze the relationship between the ecological environment and the dam safety of XiaoWan hydropower station project, also indicate the impact of dam on the ecological environment. We will apply the data mining techniques and theories to the analysis of the safe of dam and the environment. Moreover, we will establish a data mining method library. The project will implement XiaoWan Hydropower secure environment comprehensive analysis of data mining prototype system.

Zhenlin Yang, Oregon State University, United States
Title: Forest Mortality, Economics and Climate change
Abstract: We have a 5 yr project FMEC on modeling drought mortality and predicting vulnerability with Community Land Model (CLM) 4.5 over western North America, and linking it with an economic model to evaluate both carbon and economic implications of mitigation actions. We want to utilize 30-50 cores of Azure to run Fortran-written CLM 4.5 for the model spinups and simulations. This will greatly help the progress of FMEC project and help our understanding of forest mortality in Western US.

Zheping Xu, Insitute of Botany, Chinese Academy of Sciences, China
Title: Dynamic Biodiversity Protect and Monitor in a Cloud Environment.
Abstract: We are experiencing sixth mass extinction of plants and animals. We should take any effect to protect the biodiversity of our planet. Besides occurrences from specimens and observatory, much temporal distribution information of kinds of species can be extracted and processed from scientific literatures. However, we should a high performance environment to store and process our huge data (>20TB), namely more than 112 million records from 42 million pages, and may generate more than 500 million distribution points. There are also some new techniques should be introduced: machine learning, natural language processing, GIS and etc.

Zhumin Chen, Shandong University, China
Title: Urban lifestyles Detection form Big Heterogeneous Human Behavioral Data using Windows Azure.
Abstract: Lifestyle is the typical way of life of an individual, group, or culture in different nations. Understanding lifestyles is significant. This project is to study how to use Windows Azure to discover the lifestyles based on the heterogeneous human behavioral data in Web news, Twitter, Weibo etc. We will use Work Role, HDInsight, SQL database, Virtual Machine, Mobile Service etc. of Windows Azure to identify, collect, store and process lifestyle related data, and then detect and evaluate the lifestyle. We hope the results of this project can help people to find the historical changes of their lifestyle and help organizations to find the possible crises in lifestyles.

Dennis B Gannonhttp://blogs.msdn.com/dennis.gannon_4000_live.com/ProfileUrlRedirect.ashxScience in the Cloud: Building cloud virtual machines for researchhttp://blogs.msdn.com/b/azure_4_research/archive/2014/02/07/science-in-the-cloud-building-cloud-virtual-machines-for-research.aspx2014-02-08T00:05:30Z2014-02-08T00:05:30Z
Coming in March – there is going to be a special Azure for Research Request for Proposals – focusing on Science VMs for Research.  Take a look at the opportunity and get your request in by March 15th.

Building cloud virtual machines for research

As regular readers of this blog know, the Windows Azure for Research program recurrently solicits proposals on the use of Windows Azure, Microsoft's cloud-computing platform, in scholarly research. Winning projects receive a one-year allocation of Windows Azure storage and compute resources.

We review these proposals on the fifteenth of even-numbered months (February, April, June, and so forth), so the next deadline, February 15, is fast approaching. This marks our third round of solicitations, and the response so far has been outstanding, as a review of current grantees and their projects attests.

In addition to these standing, bi-monthly requests for proposals, we are initiating a new set of calls, focused on specific cloud-based research topics. Submissions for the first of these special calls are due on March 15, 2014.

Our first special call—Science VMs for Research—requests proposals to build virtual machine (VM) images that can be shared with communities of users. While it is standard practice for scientific communities to share important open-source, domain-specific software tools, using these tools often involves complex installation procedures or the resolution of library conflicts. Cloud computing obviates such impediments by enabling communities to share a complete operating system image, pre-installed with all the tools needed by specialized groups of users. Thus, a newcomer to the group can install the image in the cloud and be doing productive work very quickly. Moreover, the community can keep the cloud-based VM image updated with the latest version of the software.

Building cloud virtual machines for research - Microsoft Research Connections Blog - Site Home - MSDN Blogs

Dan_eSciencehttp://blogs.msdn.com/Dan-Fay/ProfileUrlRedirect.ashx"Building Real-World Cloud Apps with Windows Azure" E-Bookhttp://blogs.msdn.com/b/azure_4_research/archive/2014/02/04/building-real-world-cloud-apps-with-windows-azure-e-book.aspx2014-02-04T19:58:20Z2014-02-04T19:58:20Z
Just saw the announcement of the e-book "Building Real-World Cloud Apps with Windows Azure" – a good resource for anyone interested in developing for the cloud.

Announcing E-book version of Scott Guthrie's "Building Real-World Cloud Apps with Windows Azure"
 We have published online and downloadable e-book versions of Scott Guthrie's presentation titled Building Real-World Cloud Apps with Windows Azure (original video version is available here: part 1, part 2).
Along with the e-book we published the code for the Fix It application that Scott developed to demonstrate many of the recommended cloud development patterns. Before publishing the code, we worked with Microsoft Patterns and Practices to do a thorough code review and testing. In an Appendix to the e-book, we document what we learned from that process, listing issues we fixed and issues we deferred to a later release.

If you're curious about developing for the cloud, considering a move to the cloud, or are new to cloud development, you'll find in this e-book a concise overview of the most important concepts and practices you need to know. The concepts are illustrated with concrete examples, and each chapter links to other resources for more in-depth information.

Announcing E-book version of Scott Guthrie's "Building Real-World Cloud Apps with Windows Azure" - .NET Web Development and Tools Blog - Site Home - MSDN Blogs

Dan_eSciencehttp://blogs.msdn.com/Dan-Fay/ProfileUrlRedirect.ashxCloud Design Patterns now availablehttp://blogs.msdn.com/b/azure_4_research/archive/2014/01/28/cloud-design-patterns-now-available.aspx2014-01-28T22:37:44Z2014-01-28T22:37:44Z
Great news for folks looking for guidance on developing apps for the Azure Cloud – take a look at the Cloud Design Patters – it includes the following

Twenty four design patterns that are useful in cloud-hosted applications. Each pattern is provided in a common format that describes the context and problem, the solution, issues and considerations for applying the pattern, and an example based on Windows Azure. Each pattern also includes links to other related patterns.

Two primers and eight guidance topics that provide basic knowledge and describe good practice techniques for developing cloud-hosted applications. The format of each primer and guidance topic is designed to present this information in a relevant and informative way.

Ten sample applications that demonstrate the usage of the design patterns described in this guide. You can use and adapt the source code to suit your own specific requirements.

Cloud Design Patterns

This guide from the Microsoft patterns & practices group, produced with the help of many people within the developer community, provides solutions for common problems encountered when developing cloud-hosted applications.
   The guide:

Articulates the benefit of applying patterns when implementing cloud applications, especially when they will be hosted in Windows Azure.

Discusses the problems that the patterns address, and how these relate to Windows Azure applications.

Shows how to implement the patterns using the features of Windows Azure, emphasizing benefits and considerations.

Depicts the big picture by showing how these patterns fit into cloud application architectures, and how they relate to other patterns.

Cloud Design Patterns

Dan_eSciencehttp://blogs.msdn.com/Dan-Fay/ProfileUrlRedirect.ashxResearch Life Science Projects on the Windows Azure Cloud (Part 2)http://blogs.msdn.com/b/azure_4_research/archive/2013/12/06/research-life-science-projects-on-the-windows-azure-cloud-part-2.aspx2013-12-07T00:03:05Z2013-12-07T00:03:05Z
Life sciences has been one of the most productive areas of research using cloud computing. There are many reasons for this. First and foremost is the fact that the genomics revolution is now driven by large data and many important discoveries are being made by exploiting large scale data analytics and machine learning. Second, bioinformatics is increasingly becoming a discipline that requires sharing access to important data collection over the Internet. The massive data centers that form the foundation of cloud computing were originally designed to support large scale data analytics for Internet search engines and for delivering data to thousands of users concurrently. These two capabilities fit nicely with the needs of bioinformatics.

Big Compute and Bioinformatics

In the case of using the cloud for large scale data analytics we have already mentioned the work of Wuchun Feng of Virginia Tech (see part 1 of this series). However there are many other examples. One very impressive example comes from the work of my colleagues at Microsoft Research in David Heckerman's eScience team. They used Windows Azure to conduct a genome-wide association study using 27,000 computing cores for 72 hours. They were looking for the genetic markers associated with a number of important human diseases. One of the big challenges in such a large study is to statistically correct for the "confounding" caused by the relatedness of individuals in the subject pool. Traditional methods to do this don't scale well, so they designed a new linear time algorithm called a Factored Spectrally Transformed Linear Mixed Model (FaST-LMM). Using this they were able to analyze 63 billion pairs of genetic markers. Finally they put the results into the Azure Marketplace where users can validate results from their own studies. To learn more read this article.

Another examples comes from Nikolas Sgourakis. When he was a postdoc at the University of Washington in the Baker lab he undertook a project "Protein Folding with Rosetta@home in the Cloud". The scientific challenge was to elucidate the structure of a molecular machine called the needle complex, which is involved in the transfer between cells of dangerous bacteria, such as salmonella and e-coli. This was accomplished by porting Rossetta to Windows Azure using 2,000 cores. Results of this work can be found in this paper in nature (full article here)

Gabrial Antoniu and Bertrand Thirion from the famous French research lab INRIA led the project "A-Brain: Large-scale Joint Genetic and Neuroimaging Data Analysis on Azure Clouds". It is believed that several brain diseases have genetic origin or the severity of the disease is related to genetic factors. Consequently it may be possible to use a patient's genetic profile to predict the response of to a given treatment. With help from my colleagues at the Microsoft Advanced Technology Lab in Europe they were trying to find the correlation between certain brain markers and genetic data. By using neuroimaging and genetic SNP data from a thousand patients they built an analysis pipeline in the cloud using MapReduce-style computation. Using a ridge regression approach the team has provided the first statistical evidence of the heritability of function signals in basal ganglia related to a failed stop task (a standard cognition metric). One of the major challenges they faced was the way standard MapReduce computations are done. As is often the case when MapReduce is in the inner loop of an iterative computation the storage updates and locality are a bottleneck. To solve this problem they introduced something they called TomusBlobs which is a storage system based on aggregated virtual disks and versioning to provide lock-free concurrent writes. They were then able to scale up to 1000 cores on 3 Azure data centers and a performance improvement of 50% over standard Azure Blob storage.

A summary of their work is available in this presentation.

Two other projects used Windows Azure for large scale bioinformatics work. Michele Di Cosmo and Angela Sanger of the University of Trento Centre for Computational and Systems have developed BetaSIMm on Windows Azure. BetaSIMm is a dry experiment simulator, driven by BlenX—a stochastic, process algebra-based programming language for modeling and simulating biological systems as well as other complex dynamic systems. The second is from Theodore Dalamagas, Thanassis Vergoulis, and Michalis Alexakis of Athena RC. They ran a project "Targets on the Cloud: a Cloud-Based MicroRNA Target Prediction Platform". In this effort they set up target prediction methods on the Windows Azure platform to provide real-time target prediction services. Our aim is to meet the requirements for efficient calculation of targets and efficient handling of the frequent updates in the miRNA and gene databases.

The Cloud for Providing Bioinformatics Services over the Internet.

The Trento BetaSiMm on Azure project and the Athena projects mentioned above were both part of an EU funded collaboration called Venus-C with cloud resources provided by Microsoft. Two other Venus-C projects looked at using the cloud as a delivery mechanism for bioinformatics tools over the Internet. The importance of providing tools for the community cannot be underestimated. The vast majority of scientific researchers do not want to develop, install and debug cloud application. They want to get on with their science. The open source science community has built a large collection of tools that are used by thousands of researchers. Most researchers download and install these tools on local resources, but this is often a suboptimal approach because the servers upon which they run need to be maintained, the software updates have to be tracked and installed and much of the data they need lies in large institutional repositories. A better solution is for a community of researchers to support standard collections of services and data as a cloud service that can be access by anybody over the web.

There are two approaches for using the cloud as the host for research tools. The first is to provision the tool collections as web services. This is the approach taken by the collaboration that grew out of the Venus-C project and later funded directly by Microsoft Research. Ignacio Blanquer, Abel Carrión and Vicente Hernández of the Universidad Politécnica de Valencia and Paul Watson and Jacek Cala from the University of Newcastle and the Trust-IT group teamed up to produce a prototype community bioinformatics service called cloud4science. What they have done is prototyped and developed a client tool that provides the same interface as the conventional bioinformatics tools (such as BLAST, bwa, fasta, bowtie, BLAT, and ssaha) that are used in local computers, but linking them to a powerful processing service on the cloud. The initial target is next generation sequencing challenges. A secondary goal is to demonstrate a model for self-sustainability of such services by the user community.

The system is built as a configurable pipeline for the detection of mutations. Currently it allows the users to define various workflows for sequence trimming, quality analysis, mapping, variant discovery and visualization. Users have their own remote storage space on the cloud and access to preloaded reference data (FASTA Genomes of HG19 and Drosophila Melanogaster + Bowtie2 indexes). The

· Basic pe-procressing of FASTQ/FASTA files through SEQTK.

· Quality analysis of sequence files with FASTQC.

· Alignment and BAM generation using BWT (Bowtie2)

· Variant discovery with GATK.

· Visualization of BAM and VCF files with GenomeMaps.

Integrated visualization uses bandwidth-friendly tools so that data can be explored without downloading.

The current version is still a prototype and we are looking for community input on how it can be improved.

Recent publications from this group include

o Ignacio Blanquer, Goetz Brasche, Jacek Cala, Fabrizio Gagliardi, Dennis Gannon, Hugo Hiden, Hakan Soncu, Kenji Takeda, Andrés Tomás, Simon Woodman,  Supporting NGS pipelines in the cloud, 2013 - journal.embnet.org

o D Lezzi, R Rafanell, A Carrión, Enabling e-Science applications on the Cloud with COMPSs, Euro-Par, 2012 – Springer

o J Cała, H Hiden, S Woodman, P Watson, Fast Exploration of the QSAR Model Space with e-‐Science Central and Windows Azure. 2012 - esciencecentral.co.uk

Further details about this project can be found in Ignacio's presentation at the BIO-IT Clinical Genomics & Informatics conference in Lisbon this week.

It should be noted that these are only two of many examples and we will describe more of them later.

I mentioned above that there were two approaches to providing cloud science services over the Internet. The ideal solution is the website service such as the Blanquer/Watson example. There is a downside to this approach that make it unappealing to some researchers. Specifically those researchers who would like a more customized view that they can control and yet still have access to the common data collections. To make it easy to serve this community it is possible to populate an entire virtual machine with all the basic tools and then make this VM image available on-line so that it can be deployed by anybody. This can save the developer a great deal of time and effort because many of the deployment tasks are already done. The user can then simply weave together the needed components with a script of their own design. The Microsoft Open Technologies VMDepot has been set up to provide a collection of such VMs. One of the standard tools for bioinformatics is Galaxy and it is available as a VM image from the Depot as part of the biolinux platform. In a later post to this blog we will describe the contents and use of the preconfigured VM in greater detail.

Dennis B Gannonhttp://blogs.msdn.com/dennis.gannon_4000_live.com/ProfileUrlRedirect.ashxResearch Life Science Projects on the Windows Azure Cloud (Part 1)http://blogs.msdn.com/b/azure_4_research/archive/2013/12/04/research-life-science-projects-on-the-windows-azure-cloud-part-1.aspx2013-12-04T23:22:17Z2013-12-04T23:22:17Z
Over the last three years we have been helping researchers use the Windows Azure cloud platform to host scientific research projects. And we just launched the new Azure4Research program and we have new collection of projects are coming on-board. What has been amazing to me is the variety of topics that the research community has come up with. One area that has had a significant critical mass of activity has been in the area of bioinformatics. I will list some of these projects in this series of blog posts and point out a few of the resulting research publications.

One particular standout has been the work if Wuchun Feng of Virginia Tech. Wu was awarded one of the NSF Computing in the cloud awards. I have known Wu for a long time and I was pleased to see him in this program. Microsoft provided the Windows Azure cloud support for the project. Wu worked closely with our HDInsight team to use Hadoop and mapreduce for bioinformatics. He accomplished quite a bit. Here is some of the PR from his work.

· Tackling the Big Data Issue Behind Connected Health

· http://www.qmed.com/mpmn/medtechpulse/tackling-big-data-issue-behind-connected-health

· New Computing Model Could Lead to Quicker Advancements in Medical Research

· http://cacm.acm.org/news/169480-new-computing-model-could-lead-to-quicker-advancements-in-medical-research/fulltext

· Microsoft's Big Data Service Available After a Year in Preview

· http://www.cio.com/article/742127/Microsoft_s_Big_Data_Service_Available_After_a_Year_in_Preview

· Virginia Tech researchers: Faster computing can speed medical research

· http://fairfaxnews.com/2013/11/virginia-tech-researchers-faster-computing-can-speed-medical-research/

· New Computing Model Could Lead to Quicker Advancements in Medical Research

· http://www.sciencedaily.com/releases/2013/11/131104101047.htm

· New computing model could lead to quicker advancements in medical research, according to Virginia Tech

· http://www.eurekalert.org/pub_releases/2013-11/vt-ncm110413.php

Recent publication include

Nabeel M. Mohamed, Heshan Lin, Wuchun Feng. Accelerating Data-Intensive Genome Analysis in the Cloud. In Proceedings of the 5th International Conference on Bioinformatics and Computational Biology (BICoB), Honolulu, Hawaii, USA, March 2013

Another really nice project was led by Zhengchang Su, Srinivas Arkela, and Youjie Zhou of the University of North Carolina at Charlotte in an effort entitled 'Large-Scale Annotation of Gene Transcription Regulatory Sequences in Bacterial Genomes Using Cloud Computing." There work involves annotating regulatory sequences in sequenced bacterial genomes by using comparative genomics-based algorithms. This project was also supported by the NSF/Microsoft "Computing in the Cloud" program.

Recent publications from their work include

o S Zhang, L Jiang, C Du, Z Su, A novel information contents based similarity metric for comparing TFBS motifs. - Systems Biology (ISB), 2012 …, 2012 - ieeexplore.ieee.org

o S Li, X Dong, Z Su, Directional RNA-seq reveals highly complex condition-dependent transcriptomes in E. coli K12 through accurate full-length transcripts assembling. BMC genomics, 2013 - biomedcentral.com

In the next blog entry in this series I will describe work by Ignacio Blanquer and Paul Watson. This work is being presented this week in the BIO-IT conference in Lisbon this week.

Dennis B Gannonhttp://blogs.msdn.com/dennis.gannon_4000_live.com/ProfileUrlRedirect.ashxWindows Azure for Research Award winnershttp://blogs.msdn.com/b/azure_4_research/archive/2013/11/08/windows-azure-for-research-award-winners.aspx2013-11-08T18:59:23Z2013-11-08T18:59:23Z
The initial Windows Azure For Research awards have been awarded – check out the complete list – the next submission deadline is in Dec.

Windows Azure for Research Award winners

Microsoft Research is pleased to announce the successful applicants in our first round of Windows Azure for Research awards. You didn't make it easy for us—we received many good quality proposals. Our selection committee evaluated each submission in terms of its potential to accelerate research and its suitability for deployment on the Windows Azure cloud platform. There were far more outstanding proposals than we could accommodate during this first round of awards.

Windows Azure for Research Award winners - Microsoft Research Connections Blog - Site Home - MSDN Blogs

Dan_eSciencehttp://blogs.msdn.com/Dan-Fay/ProfileUrlRedirect.ashxWindows Azure for Research–Accelerating Research in the Cloudhttp://blogs.msdn.com/b/azure_4_research/archive/2013/09/14/windows-azure-for-research-accelerating-research-in-the-cloud.aspx2013-09-15T03:33:07Z2013-09-15T03:33:07Z
This past week Microsoft Research launched a new program Azure For Research – to help facilitate and accelerate scientific research by enabling researchers to utilize Windows Azure to help with their scientific challenges.  Our team of researchers and scientists look forward to working and collaborating with scientists on their data and compute challenges.

Windows Azure Research Award Program

Microsoft Research is soliciting proposals for the use of Windows Azure in research. We welcome research proposals from any branch of scholarly activity. To qualify, applicants must be affiliated with an academic institution or non-profit research laboratory. In addition to individual investigator projects, we are interested in projects that will support access to services and data of value to a collaboration or community. Winning proposals will be awarded large allocations of Windows Azure storage and compute resources for a period of one year.

Dan_eSciencehttp://blogs.msdn.com/Dan-Fay/ProfileUrlRedirect.ashx


text:
What does VYO mean in Firms?
This page is about the meanings of the acronym/abbreviation/shorthand VYO in the Business field in general and in the Firms terminology in particular.
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Central Valley Reference Libraries
Page 1 of about 1 Articles
2007-04-10 16:45:13
The Splittail, or Sacramento splittail, Pogonichthys macrolepidotus, is a cyprinid fish native to the low-elevation waters of the Central Valley in California. It was first described by William O. Ayres in 1854. It is the sole living member of its genus, the Clear Lake splittail P. ciscoides having become extinct in the 1970s. The distinctive feature of the Splittail is the larger upper lobe...
Word of the Day
- A coin originally worth six pennies Scots, and later three; held equivalent to an English halfpenny.
- (in plural) Money; cash.


text:
SCIENTISTS plan to start recruiting volunteers next week to trial a vaccine to combat killer virus Ebola.
Last week it was announced that Prof Adrian Hill, director of the Jenner Institute at Oxford University, would lead clinical trials to identify a vaccine to tackle Ebola, which has killed more than 1,500 people in West Africa.
Liberal Democrat MEP Catherine Bearder, who said the trial was part-funded by European Union research funding, has called on the EU to secure extra funding for the trial.
She said: "Unlocking additional EU cash could give this life-saving study an important boost."
Prof Hill, 55, from Headington, is seeking more than 60 volunteers from Oxford and the surrounding area.
He said: "We hope to open recruitment from next week. This is a highly regulated matter with strict confidentiality provisions for the subjects."
Prof Hill is seeking 60 volunteers, and they will be split into groups of 20 to receive different doses of the vaccine.
The professor, who has worked in the vaccination field for the past 20 years, said earlier he was "quite confident" that a vaccine could work against Ebola.
Volunteers have been invited to email firstname.lastname@example.com
- Do you want alerts delivered straight to your phone via our WhatsApp service? Text NEWS or SPORT or NEWS AND SPORT, depending on which services you want, and your full name to 07767 417704. Save our number into your phone's contacts as Oxford Mail WhatsApp and ensure you have WhatsApp installed.
Send your Letter to the Editor
11:20am Monday 28th July 2014
What do you think? We welcome letters from our readers on a wide variety of subjects and you can send us a letter through the blue headline above.
Our top stories
Adding extra lanes to A34 through Oxfordshire could cost £800m
9:00am Monday 24th November 2014
PLANS to widen the A34 in both directions through Oxfordshire would cost at least £800 million, a new report has revealed.
Update: Road reopened after two people cut free following collision on the A44 near Begbroke
12:44pm Monday 24th November 2014
THE A44 is closed following an incident between Spring Hill Road and Sandy Lane/ Rutten Lane between Yarnton and Begbroke.
Grieving family watches as motorist appears in court accused of killing Liberty Baker
3:55pm Monday 24th November 2014
A MOTORIST accused of killing 14-year-old Liberty Baker as she walked to school appeared in court today.
Fog warning for Oxfordshire tonight and tomorrow morning
3:25pm Monday 24th November 2014
A SEVERE fog warning has been put in place for Oxfordshire overnight and into tomorrow morning.
Explore today's interactive front page
12:00pm Monday 24th November 2014
Want to explore our interactive front page? Here it is...
A44 at Wootton re-opens after accident
9:46am Monday 24th November 2014
THE A44 near Wootton, West Oxfordshire has reopened in both directions after an accident.


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text:
Humidity 16%
Winds 3.5mph
Humidity 16%
Winds 3.5mph
Humidity 50%
Winds 0.0mph
May 15, 2012 5:56 AM by Summer Yu
Colorado State Patrol says Highway 24 near Calhan at mile marker 331 is experiencing lane closures after a one-vehicle crash just after 3 AM.
Right now, they tell us only one lane total is open, and troopers are on scene guiding traffic.
Towing has arrived on scene, and all lanes should be back open in another hour.
1 hour ago


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TUESDAY, Aug. 16 (HealthDay News) -- Chinese herbal decoction maxingshigan-yinqiaosan, alone or in combination with oseltamivir, is associated with a reduced time to fever resolution in patients with H1N1 influenza virus infection, according to a study published in the Aug. 16 issue of the Annals of Internal Medicine.
Chen Wang, M.D., Ph.D., from the Ministry of Health in Beijing, and colleagues compared the efficacy and safety of maxingshigan-yinqiaosan with oseltamivir for the treatment of uncomplicated H1N1 influenza. A total of 410 adults between the ages of 15 and 59 years with confirmed H1N1 influenza received either oseltamivir (75 mg twice daily) alone, a decoction of maxingshigan-yinqiaosan (200 mL, four times daily), oseltamivir plus maxingshigan-yinqiaosan, or no treatment (control) for a period of five days. Time to fever resolution was the primary outcome measure, and symptom scores and viral shedding using real-time reverse transcriptase polymerase chain reaction were the secondary outcome measures.
The investigators found that oseltamivir (34 percent), maxingshigan-yinqiaosan (37 percent), and the combination treatment of oseltamivir plus maxingshigan-yinqiaosan (47 percent) significantly reduced the median time to fever resolution compared to the control group. The combination treatment reduced time to fever resolution by 19 percent when compared to oseltamivir alone. The decrease in symptom scores was not significantly different in the intervention or control groups. Nausea and vomiting were reported in two patients receiving maxingshigan-yinqiaosan.
"Oseltamivir and maxingshigan-yinqiaosan, alone and in combination, reduced time to fever resolution in patients with H1N1 influenza virus infection," the authors write.
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Nash Comments on Potential Tour with Hall, Fast 6 Photo of The Rock, Shirts
by Staff - May 15, 2013
- WWE has released new t-shirts for Randy Orton and The Shield.
– The Rock tweeted a new promotional photo from Fast 6:
– Kevin Nash tweeted the following this week about a potential tour with Scott Hall to tell fans their story:
"For some reason people think were only going to hit the large markets.@SCOTTHALLNWO and I want to see every fan on the planet. NWO 4 Life!"
|New WWE Tag Team Champions Crowned at Survivor Series, Steve Austin's Live Podcast Coming to WWE Network
|Seth Rollins On Brock Lesnar's Title Reign - "I Think It's Bull Crap, I Don't Appreciate It One Bit"
The Hottest WWE news, photos and videos delivered to your inbox in one convenient newsletter. Sign up now and give it a try!
|WWE Survivor Series Report - 11/23/14
|Screeching Weasel Frontman Blasts CM Punk, Calls on Female Fans to Challenge Punk to Fight
|*Spoiler* Huge, Huge Name Scheduled to Make WWE TV Debut at Survivor Series
|Sting Makes His WWE TV Debut, Possible Match Against Triple H?, Update on The Authority
|The Latest On When Roman Reigns May Return To The Ring, Check Out Sting's WWE 2K15 Entrance


text:
When I try to parse an xml file, the applicaiton crashes in
xmlParseFile function.
First, the message "
Parsing the xml file..." is printed. But the next one is not printed.
The code I have written is below. I have checked the xml file by opening it on IE. No issue with xml file. What could be wrong?
#include <libxml/xmlmemory.h>
#include <libxml/parser.h>
static void parseDoc(const char *docname)
xmlDocPtr doc;
xmlNodePtr cur;
printf("Parsing the xml file...\n");
doc = xmlParseFile(docname);
printf("Parsing done...\n");
if (doc == NULL )
printf("Parsing Failed");
int main()
const char *docname;
docname = "C:\\New\\test.xml";
parseDoc (docname);
return (1);


text:
New to Typophile? Accounts are free, and easy to set up.
Hi all
Does anybody know what title font (Great Jewish Speeches) this is?
Thanx in advance
This must be Flourish Special by Judith Sutcliffe (1988)
It's available at Daniel Will Harris site:
I found it using Find my Font - http://www.findmyfont.com
Wow! Thank You very much


text:
Association ou organisation à but non lucratif
Dernière mise à jour : 8 juin 2012 19:56:35
Harlem Children's Zone, Inc (HCZ) is a multi-site, multi-program community organization that provides a unique and comprehensive interlocking network of education, social and health services, and recreation to more than 21,000 children and adults in Central Harlem. Its goal is to create a "tipping point" in the neighborhood so that children are surrounded by an enriching environment of college-oriented peers and supportive adults. HCZ is nationally and internationally recognized for its early and progressive intervention programs, and has been called "one of the most ambitious social-policy experiments of our time" by The New York Times.
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