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Understanding and Predicting the Gulf of Mexico Loop Current - Gulf Research Program - Bog - National Academies Press - Plusbog.dk

One of the most significant, energetic, yet not well understood, oceanographic features in the Americas is the Gulf of Mexico Loop Current System (LCS), consisting of the Loop Current (LC) and the Loop Current Eddies (LCEs) it sheds. Understanding the dynamics of the LCS is fundamental to understanding the Gulf of Mexico's full oceanographic system, and vice versa. Hurricane intensity, offshore safety, harmful algal blooms, oil spill response, the entire Gulf food chain, shallow water nutrient supply, the fishing industry, tourism, and the Gulf Coast economy are all affected by the position, strength, and structure of the LC and associated eddies. This report recommends a strategy for addressing the key gaps in general understanding of LCS processes, in order to instigate a significant improvement in predicting LC/LCE position, evolving structure, extent, and speed, which will increase overall understanding of Gulf of Mexico circulation and to promote safe oil and gas operations and disaster response in the Gulf of Mexico. This strategy includes advice on how to design a long-term observational campaign and complementary data assimilation and numerical modeling efforts. Table of ContentsFront MatterSummary1 Introduction2 Setting the Stage3 Critical Gaps and Recommendations4 Loop Current Campaign Solicitation AdviceReferencesAppendix A: Description of the Loop CurrentAppendix B: Fundamental Understanding of the Loop Current SystemAppendix C: Committee BiographiesAppendix D: Acronyms and Abbreviations

DKK 442.00

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Core Measurement Needs for Better Care, Better Health, and Lower Costs - Roundtable On Value And Science Driven Health Care - Bog - National Academies

In 2006 the Institute of Medicine (IOM) established the Roundtable on Value & Science-Driven Health Care which has since accelerated the development of a learning health system- one in which science, informatics, incentives, and culture are aligned to create a continuous learning loop. This title deals with this topic.

DKK 286.00

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The Role of Experimentation Campaigns in the Air Force Innovation Life Cycle - Division On Engineering And Physical Sciences - Bog - National

The Air Force (USAF) has continuously sought to improve the speed with which it develops new capabilities to accomplish its various missions in air, space, and cyberspace. Historically, innovation has been a key part of USAF strategy, and operating within an adversary's OODA loop (observe, orient, decide, act) is part of Air Force DNA. This includes the ability to deploy technological innovations faster than do our adversaries. The Air Force faces adversaries with the potential to operate within the USAF's OODA loop, and some of these adversaries are already deploying innovations faster than the USAF. The Role of Experimentation Campaigns in the Air Force Innovation Life Cycle examines the current state of innovation and experimentation in the Air Force and best practices in innovation and experimentation in industry and other government agencies. This report also explores organizational changes needed to eliminate the barriers that deter innovation and experimentation and makes recommendations for the successful implementation of robust innovation and experimentation by the Air Force. Table of ContentsFront MatterExecutive Summary1 Introduction and Overview2 Experimentation for Innovation: Best Practices in Highly Innovative Organizations3 Experimentation for Innovation: Current Air Force Practice4 Findings and Recommendations for Closing Gaps5 ConclusionAppendixesAppendix A: Statement of TaskAppendix B: Committee Member BiographiesAppendix C: Meetings and SpeakersAppendix D: Charter for Air Force Capability Development (SecAF Signed 2 June 2016)

DKK 344.00

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Intelligent Human-Machine Collaboration - National Research Council - Bog - National Academies Press - Plusbog.dk

On June 12-14, 2012, the Board on Global Science and Technology held an international, multidisciplinary workshop in Washington, D.C., to explore the challenges and advances in intelligent human-machine collaboration (IH-MC), particularly as it applies to unstructured environments. This workshop convened researchers from a range of science and engineering disciplines, including robotics, human-robot and human-machine interaction, software agents and multi-agentsystems, cognitive sciences, and human-machine teamwork. Participants were drawn from research organizations in Australia, China, Germany, Israel, Italy, Japan, the Netherlands, the United Arab Emirates, the United Kingdom, and the United States. The first day of the workshop participants worked to determine how advances in IH-MC over the next two to three years could be applied solving a variety of different real-world scenarios in dynamic unstructured environments, ranging from managing a natural disaster to improving small-lot agile manufacturing. On the second day of the workshop, participants organized into small groups for a deeper exploration of research topics that had arisen, discussion of common challenges, hoped-for breakthroughs, and the national, transnational, and global context in which this research occurs. Day three of the workshop consisted of small groups focusing on longer term research deliverables, as well as identifying challenges and opportunities from different disciplinary and cultural perspectives. In addition, ten participants gave presentations on their research, ranging from human-robot communication, to disaster response robots, to human-in-the-loop control of robot systems. Intelligent Human-Machine Collaboration: Summary of a Workshop describes in detail the discussions and happenings of the three day workshop. Table of ContentsFront Matter1 Introduction2 Scenario Exercises3 Human-Machine Teamwork Panels4 Common Challenges and Breakthroughs5 Global and Transnational Issues6 Revisiting the ScenariosAppendix A: Workshop ParticipantsAppendix B: Workshop AgendaAppendix C: Presentation Abstracts

DKK 208.00

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Alternatives for the Demilitarization of Conventional Munitions - Committee On Alternatives For The Demilitarization Of Conventional Munitions - Bog -

The U.S. military has a stockpile of approximately 400,000 tons of excess, obsolete, or unserviceable munitions. About 60,000 tons are added to the stockpile each year. Munitions include projectiles, bombs, rockets, landmines, and missiles. Open burning/open detonation (OB/OD) of these munitions has been a common disposal practice for decades, although it has decreased significantly since 2011. OB/OD is relatively quick, procedurally straightforward, and inexpensive. However, the downside of OB and OD is that they release contaminants from the operation directly into the environment. Over time, a number of technology alternatives to OB/OD have become available and more are in research and development. Alternative technologies generally involve some type of contained destruction of the energetic materials, including contained burning or contained detonation as well as contained methods that forego combustion or detonation. Alternatives for the Demilitarization of Conventional Munitions reviews the current conventional munitions demilitarization stockpile and analyzes existing and emerging disposal, treatment, and reuse technologies. This report identifies and evaluates any barriers to full-scale deployment of alternatives to OB/OD or non-closed loop incineration/combustion, and provides recommendations to overcome such barriers. Table of ContentsFront MatterSummary1 Introduction2 An Overview of the U.S. Army Demilitarization Program, the Demilitarization Stockpile, and Factors Bearing on the Program3 Review of Conventional Open Burning/Open Detonation Technologies4 Review of Candidate Alternative Technologies5 Evaluation Criteria6 Regulatory Requirements Applicable to Open Burning, Open Detonation, and Alternative Technologies7 Applicability of Treatment Types to Munitions and Energetic Types8 Comparative Assessment of Demilitarization Technologies9 Barriers and Other ConsiderationsAppendixesAppendix A: Committee ActivitiesAppendix B: CEASE FIRE! Campaign Technology CriteriaAppendix C: Military Munitions RuleAppendix D: Public Concerns About Open Burning/Open Detonation and Alternative Demilitarization OptionsAppendix E: Committee Biographical InformationAppendix F: Acronyms

DKK 448.00

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Automated Research Workflows for Accelerated Discovery - Computer Science And Telecommunications Board - Bog - National Academies Press - Plusbog.dk

The needs and demands placed on science to address a range of urgent problems are growing. The world is faced with complex, interrelated challenges in which the way forward lies hidden or dispersed across disciplines and organizations. For centuries, scientific research has progressed through iteration of a workflow built on experimentation or observation and analysis of the resulting data. While computers and automation technologies have played a central role in research workflows for decades to acquire, process, and analyze data, these same computing and automation technologies can now also control the acquisition of data, for example, through the design of new experiments or decision making about new observations. The term automated research workflow (ARW) describes scientific research processes that are emerging across a variety of disciplines and fields. ARWs integrate computation, laboratory automation, and tools from artificial intelligence in the performance of tasks that make up the research process, such as designing experiments, observations, and simulations; collecting and analyzing data; and learning from the results to inform further experiments, observations, and simulations. The common goal of researchers implementing ARWs is to accelerate scientific knowledge generation, potentially by orders of magnitude, while achieving greater control and reproducibility in the scientific process. Automated Research Workflows for Accelerated Discovery: Closing the Knowledge Discovery Loop examines current efforts to develop advanced and automated workflows to accelerate research progress, including wider use of artificial intelligence. This report identifies research needs and priorities in the use of advanced and automated workflows for scientific research. Automated Research Workflows for Accelerated Discovery is intended to create awareness, momentum, and synergies to realize the potential of ARWs in scholarly discovery. Table of ContentsFront MatterSummary1 Introduction2 Context for Automated Research Workflows3 Automated Research Workflows in Action4 Automatic Research Workflows and Implications for Advancing Research Integrity, Reproducibility, and Dissemination5 Overcoming Barriers to Wider Use of Automated Research Workflows6 ConclusionBibliographyAppendix A: Workshop AgendaAppendix B: Committee Biosketches

DKK 188.00

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