YottaByte Me

Yorba Linda, CA (PRWEB) October 14, 2014

Thermo Scientific announces a new educational webinar, “Comprehensive Anti-doping Detection using the Q Exactive Orbitrap MS for Equine Urine Analysis,” featuring Dr. Scott D Stanley, PhD, Professor at University of California–Davis, School of Veterinary Medicine. The webinar will be presented live October 16, 2014 at 8:00AM PT.

Equine anti-doping analysis is a changing and dynamic field of science. The constant introduction of new drugs and biopharmaceuticals present challenges to the integrity of sports. Anti-doping programs are continually falling under fire due to allegations of perceived doping by athletes with drugs that are rumored to be undetectable by the current testing schemes which in some cases offer limited drug coverage.

The continual advancements of modern mass spectrometry have enabled anti-doping laboratories to significantly expand the drug coverage for both human and equine athletes. Both the benchtop Thermo Scientific™ Exactive™ and the Thermo Scientific™ Q Exactive Orbitrap mass spectrometers have been used by the K.L. Maddy Equine Analytical Chemistry Laboratories at UC Davis for the past six years.

Dr. Scott Stanley will discuss key learning objectives of drug analysis, such as expanded drug coverage for anti-doping labs; Detection of both small and large molecules in a single analytical run; Detection of > 600 compounds, including phase I and phase II drug metabolites; and Analysis of >100 samples per instrument per day.

For the past 21 years, Dr. Stanley has worked nationally and internationally in the fields of equine pharmacology, analytical chemistry and drug detection. He is the Principal Chemist at the Kenneth L. Maddy Equine Analytical Chemistry Laboratory, California’s Official Drug Testing Laboratory for all racing horse events. Dr. Stanley maintains an active analytical chemistry research laboratory involved in the steroid profiling methods, and investigation of veterinary drugs produced by veterinary compounding pharmacies. Since opening in 2000, the K.L. Maddy Laboratory has established itself as one of the largest and most respected Anti-Doping and Equine Pharmacology Research programs.

To learn more about this webinar and register for free, click here.

About Thermo Fisher Scientific:

Thermo Fisher Scientific Inc. is the world leader in serving science, with revenues of $ 17 billion and 50,000 employees in 50 countries. The mission at Thermo Fisher is to enable customers to make the world healthier, cleaner and safer, and help customers accelerate life sciences research, solve complex analytical challenges, improve patient diagnostics and increase laboratory productivity. The four premier brands – Thermo Scientific, Life Technologies, Fisher Scientific and Unity Lab Services – offer an unmatched combination of innovative technologies, purchasing convenience and comprehensive support.

About LabRoots:

LabRoots is the leading professional networking website designed to connect all science verticals. Founded in March 2008, LabRoots’ vision was to connect the scientific world leveraging a myriad of unique features and tools, discovering meaningful collaborations across geographic boundaries and fields of expertise. LabRoots is the owner and producer of BioConference Live – which has grown into the world’s largest series of virtual events within the Life Sciences and Clinical Diagnostics community.

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Albany, NY (PRWEB) November 20, 2014

Global mHealth (Mobile Healthcare) Bible 2015 – 2020 : Worldwide Market size, share, analysis and focus

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With more than 7 Billion mobile network subscriptions worldwide, the mobile communications sector is rapidly gaining traction from a diverse range of vertical sectors. Healthcare is no exception to this trend.

As healthcare providers seek to maximize their patient outreach while minimizing costs, many view mobile healthcare (or mHealth) as the solution to improve healthcare cost-efficiency. mHealth refers to the usage of mobile communications technology & devices to enhance access to healthcare information, improve distribution of routine and emergency health services and provide diagnostic services.

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Mobile network operators also view mHealth as a lucrative opportunity for the monetization of their mobile connectivity services. Given that most operators have established themselves as reputable consumer brands, they are also eyeing on opportunities to offer services beyond simple connectivity. Many operators already offer branded or co-branded end-to-end mHealth solutions to their customer bases.

In addition, mHealth offers a multitude to opportunities to the pharmaceutical industry ranging from R&D activities to securing the supply chain and, in the battle against counterfeit drugs.

Driven by the thriving ecosystem, SNS Research estimates that the mHealth market will account for nearly $ 13 Billion in 2015 alone. Despite barriers relating to regulation, patient acceptance and privacy concerns, SNS Research estimates further growth at a CAGR of nearly 40% over the next 6 years.

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This report presents an in-depth assessment of the global mHealth market. In addition to covering key market drivers, challenges, future roadmap, value chain analysis, deployment case studies, service/product strategies and strategic recommendations, the report also presents comprehensive forecasts for the mHealth market from 2014 till 2020. Historical revenue figures for 2010, 2012 and 2013 are also presented. The forecasts and historical revenue figures are individually segmented for 5 individual submarkets, 29 use case categories, 5 ecosystem player categories, 6 geographical regions and 34 countries.

The report comes with an associated Excel datasheet covering quantitative data from all figures presented within the report.

Pricing: The report is available for the following price:

Single User License: USD 2,500

Company Wide License: USD 3,500

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Topics Covered:

Historical Revenue & Forecast Segmentation:

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List of Companies Mentioned:

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Albany, NY (PRWEB) September 26, 2014

Big Data refers to a massive volume of both structured and unstructured data that is so large that it is difficult to process using traditional database and software techniques. While the presence of such datasets is not something new, the past few years have witnessed immense commercial investments in solutions that address the processing and analysis of Big Data. Big Data opens a vast array of applications and opportunities in multiple vertical sectors including, but not limited to, retail and hospitality, media, utilities, financial services, healthcare and pharmaceutical, telecommunications, government, homeland security, and the emerging industrial Internet vertical.

View Full Report at http://www.marketresearchreports.biz/analysis/224899

Despite challenges, such as the lack of clear big data strategies, security concerns and the need for workforce re-skilling, the growth potential of Big Data is unprecedented. Mind Commerce estimates that global spending on Big Data will grow at a CAGR of 46% between 2015 and 2020. Big Data revenues will reach almost $ 190 Billion by the end of 2020.

This report provides an in-depth assessment of the global Big Data market, including a study of the business case, application use cases, vendor landscape, value chain analysis, case studies and a quantitative assessment of the industry with forecasting from 2015 to 2020.

Download Detail Report With Complete TOC at http://www.marketresearchreports.biz/sample/sample/224899

All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you’re addressing. This needs to be used within three months of purchasing the report.

Topics covered in the report:

Big Data Technology: A review of the underlying technologies that resolve big data complexities

Big Data Use Cases: A review of investments sectors and specific use cases for the Big Data market

The Big Data Value Chain: An analysis of the value chain of Big Data and the major players involved within it

The Business Case for Big Data: An assessment of the business case, growth drivers and barriers for Big Data

Vendor Assessment and Key Player Profiles: An assessment of the vendor landscape of leading players within the Big Data market

Market Analysis and Forecasts: A global and regional assessment of the market size and forecasts for the Big Data market from 2015 to 2020

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Target Audience:

Investment Firms

Media Companies

Utilities Companies

Financial Institutions

Application Developers

Government Organizations

Retail & Hospitality Companies

Other Vertical Industry Players

Analytics and Data Reporting Companies

Healthcare Service Providers & Institutions

Fixed and Mobile Telecom service providers

Infrastructure, Software, and Service Vendors

Select Findings:

Big Data opens a vast array of applications & opportunities in multiple vertical sectors including not limited to retail & hospitality, media, utilities, financial services, healthcare and pharmaceutical, telecommunications, government & homeland security and the emerging industrial internet vertical. We see certain verticals leading the way in terms of best practices including optimized data collection, analysis, and reporting.

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Despite challenges such as the lack of clear big data strategies, security concerns and the need for workforce re-skilling, the growth potential of Big Data is unprecedented. Mind Commerce estimates that global spending on Big Data will grow at a CAGR of 46% between 2015 and 2020. Big Data revenues will reach $ 190 Billion by the end of 2020.

Report Benefits:

Detailed forecasts 2015 – 2020

Learn about Big Data technologies

Identify leading market segments

Identify key players and strategies

Identify opportunities in data analytics

Understand market drivers and barriers

Understand the business case for Big Data

Understand regulatory issues and initiatives

Related Reports

Big Data And Business Intelligence: Convergence Of Business Intelligence And Big Data Analytics

View Full Report at http://www.marketresearchreports.biz/analysis/223138

The landscape of data gathering and analysis is rapidly changing as the amount of data generated in conjunction with data sources and means of extracting data continues to accelerate. One of the key issues is how to most efficiently and effectively realize value from this seemingly boundless sea of unstructured (Big) data. Big Data is much more than its technical definition implies: A collection of data sets so large and complex that it becomes difficult to process using on-hand database management tool.

Download Detail Report at http://www.marketresearchreports.biz/sample/sample/223138

Big Data is already changing the way business decisions are made since big data exceeds the capacity and capabilities of conventional storage, reporting and analytics systems, it demands new problem-solving approaches. Business Intelligence (BI) represents a set of techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes. BI has existed in various forms for a long time but arguably is lacking when it comes to unstructured data.

Big Data And Telecom Analytics Market: Business Case, Market Analysis & Forecasts 2014 – 2019    

View Full Report at http://www.marketresearchreports.biz/analysis/174419

Big Data refers to a massive volume of both structured and unstructured data that is so large that it is difficult to process using traditional database and software techniques. While the presence of such datasets is not something new, the past few years have witnessed immense commercial investments in solutions that address the processing and analysis of Big Data.

Big Data opens a vast array of applications and opportunities in multiple vertical sectors including, but not limited to, retail and hospitality, media, utilities, financial services, healthcare and pharmaceutical, telecommunications, government, homeland security, and the emerging industrial Internet vertical.

Download Detail Report With Complete TOC at http://www.marketresearchreports.biz/sample/sample/174419

With access to vast amounts of data sets, telecommunications companies are emerging as major proponents of the Big Data movement. Big Data technologies, and in particular their analytics abilities, offer a multitude of benefits to telecom companies including improved subscriber experience, building and maintaining smarter networks, reducing churn, and generation of new revenue streams.

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Albany, New York (PRWEB) September 23, 2014

Since its inception in the year 2008, the global Hadoop market has observed growth at a tremendous pace. This market valued US$ 1.5 billion in 2012 and is estimated to grow at a CAGR of 54.7% from 2012 to 2018. By the end of 2018, this market could amass a net worth of US$ 20.9 billion. With the massive amount of data generated every day across major industries, the global Hadoop market is anticipated to observe significant growth in the future as well.

Why Hadoop
Quite naturally, the mounting scales of unstructured data generated every single day from data-intensive industries such as telecommunication, banking and finance, social media, research, healthcare, and defence led to the rising adoption of Hadoop solutions.

The major factors driving the need to adopt Hadoop are its cost-sensitive and scalable methodologies of data handling. Hadoop has taken the big data market by storm, levelling all other data management technologies that ruled the market before its inception in 2008.

Browse Full Global Hadoop Market Research Report With Complete TOC: http://www.transparencymarketresearch.com/hadoop-market.html

Some might ask, Why switch to Hadoop when RDBMS can serve the purpose? There are multiple answers but three major ones make this technology stand apart – massive data storage, faster processing, and cost effectiveness.

Hadoop can effectively run on commodity hardware and, process data in a much faster pace. Where data handling charges for one terabyte of data can take anywhere around 10 to 14 thousand US dollars with a RDBMS solution, the same requires anywhere near 4,000 US dollars with a Hadoop solution. Hourly operational cost of Hadoop is nearly 32 U.S. dollar, whereas that with RDBMS is nearly 98 U.S. dollars. The Data Warehousing Institute was able to process only 10% of its sales data in a week’s time by applying traditional data handling solutions in 2012. Now, with Hadoop-based solutions, it can handle all its sales data in just one day.

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The telecommunication industry is the major driving industry of the Hadoop market. Due to its enormous networks and the propagation of smart devices in the market, this industry has the natural tendency of producing huge volumes of data. For handling data of such massive volumes, no other technology can prove of more effect than Hadoop. The sector of government agencies is also shifting from legacy systems to Hadoop based solutions for effective data management. Due to the vast data analyzed by the retail industry, for studying consumer preferences, the retail industry also presents huge growth opportunities for the global Hadoop market.

Regional players of the global Hadoop market
From a geographic perspective, North America represents the leading regional market for Hadoop solutions, followed by Europe. North America is home to Internet technology and social media giants such as Google, Yahoo, and Facebook. Along with these Internet-based market palyers, the retail sector in this region also proposes myriad growth opportunities for the Hadoop market. Government agencies such as U.S. Department of Defense, U.S. Intelligence Agencies, and Obama Administration Big Data Initiative also use Hadoop solutions for handling and analyzing the huge amount of data generated from the entire country.

Browse the full article of this report: http://www.transparencymarketresearch.com/article/global-hadoop-market.htm

Foreword
With the data in every industry growing so rapidly, and the production of unstructured data forming nearly 90% of the data today, enterprises need to re-evaluate the methods they used for storing, managing and analyzing data. Traditional systems will remain important for handling specific low- to high-volume workloads in the future as well. But they will work in a way to compliment the use of Hadoop and optimize the data management structure in organizations. The scalability, cost-effectiveness, and streamlined nature of Hadoop will make the data more and more useful. In fact, the need for Hadoop in today’s tech-forward world is no longer a question. The only question is how to best exploit it.

Extending Database Query Models for Data Retrieval and Analysis: Addressing emerging data challenges in user-facing applications with novel database querying capabilities

With the ubiquitous adoption of the World Wide Web, an overwhelming amount of high quality, structured data becomes available on the Web. Unlike in the traditional context, Web databases are directly accessible by end users. To help ordinary users overcome the information overload in structured data, current databases need to improve the usability as well as the querying capability. This book explores this direction by discussing how to support novel, user-friendly query types in existing

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San Jose, CA (PRWEB) November 06, 2012

Equalis, the leading provider of numerical analysis, visualization and simulation solutions for engineers and scientists, built on the Scilab open source platform, today announced the availability of parallelization and cluster modules for accelerated numerical analysis computing. Equalis Lightning provides multi core parallelization and Equalis Thunder provides node to node cluster parallelization. These new modules provide users with complete computational scalability starting with 16 physical or virtual cores on a single workstation (Lightning) and up to hundreds of cores on a cluster (Thunder). Equalis Thunder and Lightning modules are powered by Supercomputing Engine Technology (SET) by Advanced Cluster System. Equalis has an exclusive global partnership with Advanced Cluster Systems for the use of SET with Scilab.

Equalis Thunder and Lightning allow users to solve computationally intensive problems using multi-core processors, GPUs, and computer clusters with minimal effort. Equalis Lightning enables users to develop Scilab programs on a multi-core computer and then scale up to many nodes with Equalis Thunder. In this way, computationally intensive applications run on computer clusters, clouds, and grids taking advantage of distributed computing to efficiently accelerate tasks. Benchmark results show that Equalis Thunder and Lightning scales computation tasks linearly with low parallelization overhead.

Equalis provides premier software modules on top of the Scilab open source platform and industrial grade support through subscription programs; typically costing 90% less than purchasing equivalent software applications. Training, deployment and consulting services are also available for a fast start. Equalis premier modules include: Communications, Connectivity, Control and Power Systems, Fixed Point, Instrument Control, Neural Networks, Signal Processing, SoftCruncher (software performance enhancement), and many more.

Equalis Thunder and Lightning are bundled as options to the Equalis Pro or Pro Plus solutions, and are available with prices starting at only $ 295 per user for Equalis Lightning and $ 1,995 for Equalis Thunder per node. Each Thunder and Lightning module includes support for 16 cores and customers can purchase as many Thunder modules as necessary to scale to their needs. Existing Equalis Pro or Pro Plus subscribers can purchase these new modules as add-ons.

With the introduction of Equalis Thunder and Lightning we have empowered our users and their organizations with next generation parallelization capabilities to enable them to dramatically lower the cost of computationally intensive applications, said Carmine Napolitano, CEO and Co-founder, Equalis. These new capabilities further expand our range of solutions to address the needs of rapidly growing customer base.

We are delighted that Equalis has incorporated our SET technology into its parallel computing solution to provide immediate benefits to its users, said Zvi Tannenbaum, CEO and Founder, Advanced Cluster Systems. Equalis users can now realize the benefits of parallel computing without the challenges and costs typically associated with such deployments.

About Advanced Cluster Systems, Inc.

Advanced Cluster Systems builds parallelization tools for high performance computing applications. The companys Supercomputing Engine Technology (SET) software is positioned to advance the software and computer industries years ahead in just a few months. For more information, visit http://www.AdvancedClusterSystems.com.

About Equalis

Equalis is the leading provider of numerical analysis, visualization and simulation software solutions for engineers and scientists based on the worlds leading open source numerical computation platform, Scilab. Our solution provides more functionality and more flexibility at a fraction of the cost of other solutions, and is used for optimization, signal processing, control systems, embedded systems, test and measurement, and much more. By providing rich features and a complete range of services, it meets the production needs of industries such as aerospace, automotive, electronics, energy, manufacturing, semiconductor and others. Having been downloaded over 3,500,000 times, Scilab is used extensively throughout the world in both industry and research, including companies such as: ArcelorMittal, CNES, EDF, IDT, LeCroy, and Peugeot, to name a few. For more information, please visit http://www.equalis.com.

Press Contact

Advanced Cluster Systems

Zvi Tannenbaum

zvi(at)advclustersys(dot)com

949-494-0440

Equalis

Neil Mitchell

neil(at)equalis(dot)com

408-912-1686

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