Diagram consortium diagram base website consortiumOn 22.10.2020 by Kagagar
We are pleased to announce the publication of the Industrial Internet Reference Architecture v 1. First published in and best known as the IIRA, this standards-based architectural template and methodology enables Industrial Internet of Things IIoT system architects to design their own systems based on a common framework and concepts.
The IIRA addresses the need for a common architecture framework to develop interoperable IIoT systems for diverse applications across a broad spectrum of industrial verticals in the public and private sectors to achieve the true promise of IIoT. Its participants represent a broad spectrum of the Industrial Internet Consortium membership including systems and software architects, business experts, security experts, and participants from many of the other Industrial Internet Consortium Working and Task Groups.
Like all Industrial Internet Consortium publications, the IIRA is a living document that is updated to reflect learnings from real-world IIoT deployments and the latest technology developments so that it not only remains relevant but also becomes more useful to IIoT practitioners.
This new version of the IIRA provides standard vocabulary definitions for the viewpoints and functional domains, and describes roles for human users. Some examples of functional components that rely upon low latency, reliable wireless communications are robots on the manufacturing floor and control units in electric power plants, wind turbines and autonomous vehicles.
In particular, we would like to thank the following authors and contributors to the IIRA including this new release:. Have questions or comments about the IIRA v 1. Email us here. Anish Karmarkar, Oracle Corporation.Please use the contact FlyBase form to write to us. If you have used FlyBase during your research project, we urge you to cite us in your published work. We recommend that you use our latest Nucleic Acids Research:Database issue publication:.
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However, BIOSIS does not guarantee the accuracy, adequacy, or completeness of any information and BIOSIS makes no warranties or representations of any kind, express or implied, including but not limited to warranties of merchantability or fitness for particular purpose.It starts with a central idea and branches out. The main differences between spider diagram and mind map are that spider diagrams do not always use color and there is no specific way which you must apply to structure a spider diagram.
Edraw offers a number of ready-made spider graph charting templates to help you record information and provoke ideas. Video Tutorial - Create a Spider Chart. Spider map writes main ideas on the slanted lines that connect to the circle. Write details on the branch lines. Basic Spider Chart Knowledge.
This MD-MBA Shares Insight on Where Healthcare Industry Can Improve Post-COVID-19
The following templates can be reused in the Edraw software. They are grouped in topical sets as chart templates. Discover why Edraw Software is a great choice to begin the graphic organization.
Top 20 Science Graphic Organizer. Chart Examples. Graphic Organizer. Mind Map Freeware. Business Chart Examples. Flowchart Examples. Edraw Max is perfect not only for professional-looking flowcharts, organizational charts, mind maps, but also network diagrams, floor plans, workflows, fashion designs, UML diagrams, electrical diagrams, science illustration, charts and graphs A versatile cross-platform mind mapping tool.
Get Started! Fact-Opinion Chart. Radar Chart. KWS Chart. Describing Wheel.Consortium Management Group, Inc. CMG is a nonprofit corporation created to serve as a highly responsive, transparent and accountable consortium manager. CMG consortia are composed of leading companies, academic institutions and other organizations with recognized and leading expertise in the respective mission areas to form an enterprise that the Government can access directly through a single, flexible, long-term acquisition instrument.
In doing so, CMG fulfills its mission of accelerating the deployment of technologies to the Warfighter and the nation in a manner consistent with the goals established by the Congress for a streamlined acquisition alternative.
And in the process, CMG has built a broad understanding of the technology landscape as it relates to current and future DoD capability needs. Each holds a Section OTA, which provides the legal framework and contractual means for members to collaborate with government customers to provide innovative solutions within the respective technology domains.
About cmg Consortium Management Group, Inc. Why CMG?Its mission is to create and promote wide market adoption of its interface standards QiKi Cordless Kitchen, and Qi Medium Power for inductive charging. The original motivation was to power a portable water purifier, sold by Amwaycalled eSpring, for which the wireless power transfer technology called eCoupled was created.
In Aug they published the now well-known Qi standard, version 0. A month later they released version 1. By Amway was looking for a buyer for its entire patent portfolio concerning wireless power transfer. Philips has by now acquired most of the Qi patent portfolio from Access Business Group. As ofthe Wireless Power Consortium has over individual companies, of which 25 are members of its board of managementalso known as the "Steering Group".
The Wireless Power Consortium was established in 17 December It officially published the Qi interface standard and the low-power specification in August The consortium announced through a press release that Qi would soon be developed for tablets, computers and automobile in January The underlying patent behind the Qi standard is USB1.
This has been the underlying principle behind the Qi standard to date, and all proposed receivers needed to comply with that to received approval by WPC. But that assumption was first contested by well-known author Sanjaya Maniktala in a seminar inand shortly thereafter by Stephen Terry from Texas Instruments in Stephen Terry's presentation disappeared from the WPC website from where it was originally downloaded.
As ofthe group had over companies as its members with 24 of those companies in the official board of managementcalled the "Steering Group". As ofthe group has over member companies and 25 companies on the Steering Group.
Membership towards the Wireless Power Consortium is open towards any entity, with four different types of membership with different fees. From Wikipedia, the free encyclopedia. Retrieved 17 November Retrieved 12 December The Verge.
Wireless Power Consortium.We hope to empower researchers around the world to accelerate understanding of the COVID virus and the development of treatments and vaccines to help address infections. Consortium members manage a range of computing capabilities that span from small clusters to some of the very largest supercomputers in the world. To ensure your request is directed to the appropriate resource syour description should include the sections outlined below.
Do not include any proprietary information in proposals, since your request will be reviewed by staff from a number of consortium sites. The proposals will be evaluated on the following criteria:. To the extent possible, provide an estimate of the scale and type of the resources needed to complete the work, making sure to address the points below. The information in the Resources section below is available to help you answer this question. Please be as specific as possible in your resource request.
If you have more than one phase of computational work, please address the points below for each phase including subtotals for each phase :.
Support Needs. Describe whether collaboration or support from staff at the National labs, Commercial Cloud providers, or other HPC facilities will be essential, helpful, or unnecessary. Estimates of necessary application support are very helpful.
Teams should also identify any restrictions that might apply to the project, such as export-controlled code, ITAR restrictions, proprietary data sets, regional location of compute resources, or personal health information PHI or HIPAA restrictions.
In such cases, please provide information on security, privacy and access issues. Team and Team Preparedness. Summarize your team's qualifications and readiness to execute the project. While readability is of greatest importance, documents must satisfy the following minimum requirements. Documents that conform to NSF proposal format guidelines will satisfy these guidelines.
Page numbering is not provided by XRAS. Department of Energy responsible for enhancing national security through the military application of nuclear science. The cluster is intended to be used for the following purposes: client collaboration, advanced research for government-funded projects, advanced research on Converged Cognitive Systems, and advanced research on Deep Learning.
Deep Search : The traditional drug discovery pipeline is time and cost intensive. To deal with new viral outbreaks and epidemics, such as COVID, we need more rapid drug discovery processes. Generative AI models have shown promise for automating the discovery of molecules. However, many challenges still exist: Current generative frameworks are not efficient in handling design tasks with multiple discovery constraints, have limited exploratory and expansion capabilities, and require expensive model retraining to learn beyond limited training data.
We have developed advanced and robust generative frameworks that can overcome these challenges to create novel peptides, proteins, drug candidates, and materials. Our hope is that by releasing these novel molecules, the research and drug design communities can accelerate the process of identifying promising new drug candidates for coronavirus and potential similar, new outbreaks.
This work demonstrates our vision for the future of accelerated discovery, where AI researchers and pharmaceutical scientists work together to rapidly create next-generation therapeutics, aided by novel AI-powered tools. Drug Candidate Exploration : The traditional drug discovery pipeline is time and cost intensive. It contains over million sequences for both bacteria and viruses— seamlessly connecting their genomes, genes, proteins, and functional domains.
Together, these sequences describe the collective biological activity that a microbe can have and are therefore used to develop health interventions such as antivirals, vaccines, and diagnostic tests. By fostering a vibrant ecosystem of technologies and a skilled workforce of developers, researchers, staff and users, OAC serves the growing community of scientists and engineers, across all disciplines. Frontera has two computing subsystems, a primary computing system focused on double precision performance, and a second subsystem focused on single-precision streaming-memory computing.
Comet 2. Stampede2 Longhorn 2. Longhorn will support double-precision machine learning and deep learning workloads that can be accelerated by GPU-powered frameworks, as well as general purpose GPU calculations. Jetstream nodes, Cloud accessible.The MSRC Research Program runs cutting-edge empirical studies to further the knowledge base on topics such as risk assessment, treatment, and prevention, as they pertain to suicidal behavior in the military.
There is growing evidence that exposure to the suicide of non-family members is associated with reduced mental health and increased suicidal behavior among those with perceptions of closeness to the decedent.
Only a handful of studies have examined the prevalence and correlates of suicide exposure among military and veteran populations, and none have examined the longitudinal experience of loss of a military colleague to suicide.
Read more. What differentiates people who die by suicide from other people? This is a key question for any clinician or professional who would like to be able to predict which people are most at risk for death by suicide. The answer has implications both for the assessment of suicidality and for its treatment. It is commonly said that suicide risk changes the closer an individual gets to attempting suicide.
Though this belief is widely accepted, it is a belief that is based on little-to-no scientific evidence. In addition to this issue, a team of researchers recently found that, overall, traditional risk factors and approaches to predicting suicide risk are little better than chance at determining who will die by suicide.
Recent research has shown a link between suicidal behaviors and poor sleep quality. Those with suicidal thoughts appear to be at greater risk for sleep disturbances, including insomnia symptoms, poor sleep quality, and nightmares.
Rebecca Bernert and Alan Schatzberg are carrying out a clinical trial testing the use of a brief behavioral sleep therapy to improve sleep and evaluate its therapeutic impact on suicide prevention. When someone dies by suicide, it can have devastating effects on the people left behind. This is particularly true in close-knit communities such as the military. Some of the survivors may even be more likely to attempt suicide themselves.Compute Express Link™ (CXL™): Exploring Coherent Memory and Innovative Use Cases
Julie Cerel is conducting a study focused on determining how many Veterans know someone who died by suicide and what their reactions are to the suicide. Two mood factors are believed to be key aspects in determining whether a person will commit suicide: thwarted belongingness and perceived burdensomeness. To help individuals deal with these two types of feelings, Brad Schmidt has developed a new Web-based treatment program aimed at helping people recognize them and address them.
Strikingly, firearm suicides account for approximately half of all suicide deaths each year in the United States U.
Certain segments of the U. One approach that clinicians use to mitigate risk of firearm suicide is lethal means safety counseling. Although lethal means safety counseling is considered a best practice for firearm suicide prevention and suicide prevention more broadlyresearch on its acceptability and utility is remarkably underdeveloped.
Michael Anestis at the University of Southern Mississippi is testing several existing prediction models on a group of Veterans to see which are most effective at predicting the likelihood of suicide. Neuroscientists have used brain imaging techniques to learn many things about the brain but there have been few studies attempting to find brain characteristics that are associated with suicidal behavior. Thus Deborah Yurgelun-Todd of the University of Utah is now studying a group of Veterans, half of whom have a history of self-directed violence, to search for brain differences between Veterans who have attempted to hurt themselves and those who have not.
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