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Grant P: Enchanted by Daphne

Enchanted by Daphne

The Life of an Evolutionary Naturalist

This book offers a review and analysis of contemporary forensic investigation, written for students, from the perspective of the practitioner, focusing on the core functions of forensic investigation and the impact of change in the forensic context.

This book offers a review and analysis of contemporary forensic investigation, written for students, from the perspective of the practitioner, focusing on the core functions of forensic investigation and the impact of change in the forensic context.

Contemporary Forensic Investigation

Biofeedback and Pain Management: A Clinical Guide is a practical and informative reference to help readers have a better understanding of the psychophysiology of chronic pain, biofeedback treatments, realities of living life with chronic limitations related to pain, and the role of pain in our lives and society. The book aims to organize available evidence on effective uses of biofeedback interventions for pain management, including protocols, as well as case-based examples and strategies that practitioners can refer to in real-life settings. Biofeedback and Pain Management is organized into three sections. In the first section, "Psychophysiology of Pain," a clear treatment rationale for the use of biofeedback is illustrated, including patient-friendly language about what is biofeedback and illustrations depicting how biofeedback is a useful part of any pain management treatment plan. In the next section, "Biofeedback Protocols," procedures are detailed based on evidence as well as case-based examples. This section is the heart of the book and offers essential strategies that readers can refer to on an as-needed basis. The final section, "Community Pain," explores the larger social context of chronic pain, the toll it has on public health and the ongoing role of healthcare providers who witness pain-related suffering.

A Clinical Guide

Biofeedback and Pain Management

Globally, there are numerous infectious diseases, normally found in vertebrates other than humans, that have been documented to be transmitted to humans and cause human infections. These "zoonotic infections" are the topic of this book.This book is arranged to have chapters by the type of animal. Within each chapter is information on the animal(s), the normal flora of the animal(s), and the diseases that have been transmitted from this group of animals by bites and/or scratches, contact (including transmission via ectoparasites such as fleas and ticks), ingestion of the animal, and other documented transmission, such as infestation by members of the genus Sarcoptes as has been documented in humans exposed to dogs with "mange," in "cavalryman itch" from horses, from contact with dromedaries, etc.There are a number of additional issues that takeoff from a fundamental knowledge of zoonotic infections. These include a working knowledge of many of the agends of bioterrorism, as the events of 2001 demonstrated of the use of Bacillus anthracis spores in mailed letters. Another area of importance is that of emerging infections. An analysis of 335 origins of emerging infectious diseases between 1940 and 2004 revealed that these are dominated by infections that are zoonotic in origin, comprising some 60.3% of the emerging infections. Of these, 71.8% originated in wildlife.Given the importance of this topic in our understanding of infectious disease, a timely source is a necessary addition to the current available literature

Zoonoses: Animal Exposure and Human Disease

The Drunken Forest

Chapman & Hall/CRC Interdisciplinary Statistics

An introduction to a new paradigm in social, technological, and scientific discourse, this book presents an overview of statistical methods for describing, modeling, and inferring biological networks using genomic and other types of data. It covers a large variety of modern statistical techniques, such as sparse graphical models, state space models, Boolean networks, and hidden Markov models. The authors address gene transcription data, microRNAs, ChIP-chip, and RNAi data. Along with end-of-chapter exercises, the text includes many real-world examples with implementations using a dedicated R package.

An introduction to a new paradigm in social, technological, and scientific discourse, this book presents an overview of statistical methods for describing, modeling, and inferring biological networks using genomic and other types of data. It covers a large variety of modern statistical techniques, such as sparse graphical models, state space models, Boolean networks, and hidden Markov models. The authors address gene transcription data, microRNAs, ChIP-chip, and RNAi data. Along with end-of-chapter exercises, the text includes many real-world examples with implementations using a dedicated R package.

How to Infer Networks from Data

Statistics for Biological Networks

And Other Male Failures

Broken Biscuits

Aortic Valve Repair provides a comprehensive summary on techniques developed during the first 500 cases of aortic ring annuloplasty. Aortic valve disease is usually surgically managed by aortic valve replacement, and it is well established in published literature regarding the long-term results, survival rate, durability of the protheses and reoperations rates. Over the past two decades, aortic valve repair (AVr) has evolved into a recognized surgical option for selected patients with aortic insufficiency or proximal aorta aneurysm. Studying the first 500 cases of aortic ring annuloplasty, the authors provide the most effective methods of leaflet and aortic root reconstruction to repair pathologies. Including original illustrations and videos, the book serves as an essential reference for cardiac surgeons in practice.

Aortic Valve Repair

This book introduces factor analysis methods for the study of multivariate stochastic processes whose structure evolves over time. It introduces the theory of factor analysis and evolutionary stochastic processes and combines that to study evolutionary factor models. The book includes many real examples to illustrate applications from such fields as macroeconomics, finance, neuroscience, communication, and psychology. MATLAB® and R code is included throughout the book for implementation of the methods.

This book introduces factor analysis methods for the study of multivariate stochastic processes whose structure evolves over time. It introduces the theory of factor analysis and evolutionary stochastic processes and combines that to study evolutionary factor models. The book includes many real examples to illustrate applications from such fields as macroeconomics, finance, neuroscience, communication, and psychology. MATLAB® and R code is included throughout the book for implementation of the methods.

Evolutionary Factor Analysis

Critical Care in Obstetrics

Critical Care in Pregnant Patients: Ultrasound is a volume in the Critical Care Obstetrics series. It’s a novel reference to educate physicians, nurses, and all allied healthcare personnel caring for pregnant women with various health compromises. The chapters reflect the growing scope of critical care obstetrics and the increasing importance and recognition of the hospital structure's field. All intensivists, regardless of primary discipline, must possess a core set of critical care skills that allow them to manage critically ill patients. The authors have gathered the best evidence-based material explicitly focused on how ultrasound can successfully manage potential scenarios of common and rare health complications. It provides the basics of ultrasound and the latest technological advances of ultrasound to foster research and improve health outcomes and in pregnant patients.

Ultrasound

Critical Care in Pregnant Patients

The Untold Story of Muscle in Our Lives

Stronger

Series in Computational Physics

This book provides an in-depth introduction to molecular dynamics (MD) simulation, the basis for computational study of complex atomic and molecular systems. The author clarifies the role of different variables and sequences throughout, avoids excessive mathematical detail, emphasizes graphical representations, and highlights illustrative applications in materials science, biology, and biochemistry. The text also presents tips for speeding up calculations and parallelization techniques based on OpenMP. The final section offers hands-on training to open-source MD codes (NAMD) and associated post-processing.

This book provides an in-depth introduction to molecular dynamics (MD) simulation, the basis for computational study of complex atomic and molecular systems. The author clarifies the role of different variables and sequences throughout, avoids excessive mathematical detail, emphasizes graphical representations, and highlights illustrative applications in materials science, biology, and biochemistry. The text also presents tips for speeding up calculations and parallelization techniques based on OpenMP. The final section offers hands-on training to open-source MD codes (NAMD) and associated post-processing.

A Practical Guide Using C/C++, FORTRAN, and Python

Introduction to Molecular Dynamics Simulations

Chapman & Hall/CRC Monographs on Statistics and Applied Probability

Significant new challenges to the use of likelihood-based methods for inference have helped to generate considerable interest in alternative inference methods that are not based on a full likelihood specification. This book provides a comprehensive survey of likelihood methods in statistics, with an emphasis on developments to inference functions for use in complex data. These inference functions are usually motivated by considerations related to likelihood-type arguments and have a variety of names, including composite likelihood, quasi-likelihood and pseudo-likelihood.

Significant new challenges to the use of likelihood-based methods for inference have helped to generate considerable interest in alternative inference methods that are not based on a full likelihood specification. This book provides a comprehensive survey of likelihood methods in statistics, with an emphasis on developments to inference functions for use in complex data. These inference functions are usually motivated by considerations related to likelihood-type arguments and have a variety of names, including composite likelihood, quasi-likelihood and pseudo-likelihood.

Likelihood and its Extensions

Enchanted by Daphne

Bibliografische Angaben

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Bibliografische Angaben

Schlagworte

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