Matthew Thompson – författare

Diagnostic Tests Toolkit Diagnostic Tests Toolkit Finding the evidence for diagnostic tests Establishing an evidence-based methodology to assess the effectiveness of diagnostic tests has posed problems for many years. Now that the framework is in place health professionals can find and appraise the evidence for themselves. With Diagnostic Tests Toolkit clinicians and junior researchers can interpret the evidence for the effectiveness of different types of diagnostic tests, or develop their own research using the successful ‘step-by-step’ format of the Toolkit series. Written by renowned clinical researchers, this is the first basic guide to evidence-based diagnosis. It is equally valuable to starters in clinical research and those needing a quick refresher on the core elements of evidence-based diagnosis.

This textbook provides an up-to-date account of the mechanisms and pathophysiology of vascular disease, and the current treatment options open to vascular surgeons. As the scientific basis of vascular disease advances rapidly, it is critical that clinicians have access to relevant information written specifically for vascular surgeons. This account reviews the impact of these scientific advances on established and emerging treatment options. Experts from Australia, North America and Europe have contributed to basic topics such as atherosclerosis, restenosis, thrombosis and haemostasis, ischaemia-reperfusion injury, sepsis, vascular haemodynamics and wound healing. More applied topics such as pain syndromes in vascular surgery and the diabetic foot are also covered in this textbook. This will be a core text for all vascular surgical trainees and is especially appropriate for advanced trainees and consultants wishing to refresh their knowledge base.

Uncertainties are pervasive in natural hazards, and it is crucial to develop robust and meaningful approaches to characterize and communicate uncertainties to inform modeling efforts.  In this monograph we provide a broad, cross-disciplinary overview of issues relating to uncertainties faced in natural hazard and risk assessment.  We introduce some basic tenets of uncertainty analysis, discuss issues related to communication and decision support, and offer numerous examples of analyses and modeling approaches that vary by context and scope.  Contributors include scientists from across the full breath of the natural hazard scientific community, from those in real-time analysis of natural hazards to those in the research community from academia and government.  Key themes and highlights include: Substantial breadth and depth of analysis in terms of the types of natural hazards addressed, the disciplinary perspectives represented, and the number of studies includedTargeted, application-centered analyses with a focus on development and use of modeling techniques to address various sources of uncertaintyEmphasis on the impacts of climate change on natural hazard processes and outcomesRecommendations for cross-disciplinary and science transfer across natural hazard sciencesThis volume will be an excellent resource for those interested in the current work on uncertainty classification/quantification and will document common and emergent research themes to allow all to learn from each other and build a more connected but still diverse and ever growing community of scientists.Read an interview with the editors to find out more:https://eos.org/editors-vox/reducing-uncertainty-in-hazard-prediction

Uncertainties are pervasive in natural hazards, and it is crucial to develop robust and meaningful approaches to characterize and communicate uncertainties to inform modeling efforts.  In this monograph we provide a broad, cross-disciplinary overview of issues relating to uncertainties faced in natural hazard and risk assessment.  We introduce some basic tenets of uncertainty analysis, discuss issues related to communication and decision support, and offer numerous examples of analyses and modeling approaches that vary by context and scope.  Contributors include scientists from across the full breath of the natural hazard scientific community, from those in real-time analysis of natural hazards to those in the research community from academia and government.  Key themes and highlights include:

Substantial breadth and depth of analysis in terms of the types of natural hazards addressed, the disciplinary perspectives represented, and the number of studies included Targeted, application-centered analyses with a focus on development and use of modeling techniques to address various sources of uncertainty Emphasis on the impacts of climate change on natural hazard processes and outcomes Recommendations for cross-disciplinary and science transfer across natural hazard sciences

This volume will be an excellent resource for those interested in the current work on uncertainty classification/quantification and will document common and emergent research themes to allow all to learn from each other and build a more connected but still diverse and ever growing community of scientists.Read an interview with the editors to find out more:https://eos.org/editors-vox/reducing-uncertainty-in-hazard-prediction

Uncertainties are pervasive in natural hazards, and it is crucial to develop robust and meaningful approaches to characterize and communicate uncertainties to inform modeling efforts.  In this monograph we provide a broad, cross-disciplinary overview of issues relating to uncertainties faced in natural hazard and risk assessment.  We introduce some basic tenets of uncertainty analysis, discuss issues related to communication and decision support, and offer numerous examples of analyses and modeling approaches that vary by context and scope.  Contributors include scientists from across the full breath of the natural hazard scientific community, from those in real-time analysis of natural hazards to those in the research community from academia and government.  Key themes and highlights include:

Substantial breadth and depth of analysis in terms of the types of natural hazards addressed, the disciplinary perspectives represented, and the number of studies included Targeted, application-centered analyses with a focus on development and use of modeling techniques to address various sources of uncertainty Emphasis on the impacts of climate change on natural hazard processes and outcomes Recommendations for cross-disciplinary and science transfer across natural hazard sciences

This volume will be an excellent resource for those interested in the current work on uncertainty classification/quantification and will document common and emergent research themes to allow all to learn from each other and build a more connected but still diverse and ever growing community of scientists.Read an interview with the editors to find out more:https://eos.org/editors-vox/reducing-uncertainty-in-hazard-prediction

Diagnostic Tests Toolkit

Diagnostic Tests Toolkit

Finding the evidence for diagnostic tests

Establishing an evidence-based methodology to assess the effectiveness of diagnostic tests has posed problems for many years. Now that the framework is in place health professionals can find and appraise the evidence for themselves. With Diagnostic Tests Toolkit clinicians and junior researchers can interpret the evidence for the effectiveness of different types of diagnostic tests, or develop their own research using the successful ‘step-by-step’ format of the Toolkit series. Written by renowned clinical researchers, this is the first basic guide to evidence-based diagnosis. It is equally valuable to starters in clinical research and those needing a quick refresher on the core elements of evidence-based diagnosis.

Diagnostic Tests Toolkit

Diagnostic Tests Toolkit

Finding the evidence for diagnostic tests

Establishing an evidence-based methodology to assess the effectiveness of diagnostic tests has posed problems for many years. Now that the framework is in place health professionals can find and appraise the evidence for themselves. With Diagnostic Tests Toolkit clinicians and junior researchers can interpret the evidence for the effectiveness of different types of diagnostic tests, or develop their own research using the successful ‘step-by-step’ format of the Toolkit series. Written by renowned clinical researchers, this is the first basic guide to evidence-based diagnosis. It is equally valuable to starters in clinical research and those needing a quick refresher on the core elements of evidence-based diagnosis.

The figure of the vampire is amongst the most ubiquitous in popular culture, with little sign of it slowing down in film, television or books. However, one overlooked element of the vampire's cultural impact is how the vampire is implemented into interactive texts such as video games and board games. This book will show that not only is there a plethora of interactive texts that utilise the tropes of the vampire as an enemy for the player to face but also ones that create a vampiric avatar for the players to utilise. This book will show how no other gothic or horror-orientated figure can surpass the vampire for cultural weight and utility within the interactive space, nor can any of these figures be reconstructed so readily the ways games do with the vampire.

Filled with essential checklists, worksheets, and advice, The Small Business Start-Up Guide will get you up and running!

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A checklist of all the things you must do when starting a businessMany helpful resources, including worksheets and a complete list of state guidelines for starting a small businessWhere to find the best sources of information concerning all of your specific business questions and concernsTips for finding loans and investors

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