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Evidence-Based Infectious Diseases
The fully updated Second Edition of this case-led text provides an excellent introduction to evidence-based Clinical Practice for the major areas of infectious disease management. The new edition takes on a brand new design and focus, making the book more accessible to junior doctors in infectious diseases and microbiology and general internists. Edited and written by the world’s leading infectious disease specialists, Evidence-Based Infectious Diseases contains thoroughly revised clinical chapters, reporting on all new major trials and is ideal for; trainees and clinical instructors in infectious diseases and microbiology, internal medicine physicians and public health physicians.
Evidence in Action between Science and Society
This volume is an interdisciplinary attempt to insert a broader, historically informed perspective into current political and academic debates on the issue of evidence and the reliability of scientific knowledge. The tensions between competing paradigms, different bodies of knowledge and the relative hierarchies between them are a crucial element of the historical and contemporary dynamics of scientific knowledge production. The negotiation of evidence is at the heart of this process. Starting from the premise that evidence constitutes a central, but also essentially contested concept in contemporary knowledge-based societies, this volume focuses on how evidence is generated and applied in p...
Machine Learning and Knowledge Discovery in Databases: Research Track
The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models;...
Computational Science – ICCS 2020
The seven-volume set LNCS 12137, 12138, 12139, 12140, 12141, 12142, and 12143 constitutes the proceedings of the 20th International Conference on Computational Science, ICCS 2020, held in Amsterdam, The Netherlands, in June 2020.* The total of 101 papers and 248 workshop papers presented in this book set were carefully reviewed and selected from 719 submissions (230 submissions to the main track and 489 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers; Appl...
COVID-19 ANTHROPOCIDE: Manslaughter or Murder?
Read the book that was blocked in amazon books! In this book a US professor of medicine relates the drama of his desperate struggle to inform the authorities of a fatal omission in the current prevention guidelines against COVID-19. The scientific evidence for his alert is also included. Read how you can protect your self.
Computer Information Systems and Industrial Management
This book constitutes the proceedings of the 13th IFIP TC 8 International Conference on Computer Information Systems and Industrial Management, CISIM 2014, held in Ho Chi Minh City, Vietnam, in November 2014. The 60 paper presented in this volume were carefully reviewed and selected from 98 submissions. They are organized in topical sections named: algorithms; biometrics and biometrics applications; data analysis and information retrieval; industrial management and other applications; modelling and optimization; networking; pattern recognition and image processing; and various aspects of computer security.
Evidence-Based Infectious Diseases
Written by an international team of authors specializing in microbiology and infectious disease, this new edition of Evidenced-based Infectious Diseases presents practical, up-to-date information on the care of individual patients suffering from infectious diseases. Each chapter addresses a series of focused clinical questions addressed in a systematic fashion, including a comprehensive literature search, and a rating of the quality of evidence using principles of the GRADE framework. Evidence-Based Infectious Diseases is the ideal reference work for all those involved with microbiology, infectious diseases, and clinical management.
Manual of Clinical Microbiology, 4 Volume Set
Revised by a collaborative, international, interdisciplinary team of editors and authors, this edition of the Manual of Clinical Microbiology includes the latest applications of genomics and proteomics and is filled with current findings regarding infectious agents, leading-edge diagnostic methods, laboratory practices, and safety guidelines. This edition also features four new chapters: Diagnostic Stewardship in Clinical Microbiology; Salmonella; Escherichia and Shigella; and Morganellaceae, Erwiniaceae, Hafniaceae, and Selected Enterobacterales. This seminal reference of microbiology continues to set the standard for state-of-the-science laboratory practice as the most authoritative reference in the field of microbiology. If you are looking for online access to the latest from this reference or site access for your lab, please visit www.wiley.com/learn/clinmicronow.
Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track
The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models;...
