Airborne Measurements for Environmental Research. Methods and Instruments

Covering the full spectrum of methodology, the timely and indispensible Research Methods for Environmental surveys the research and application methods for studying, changing, and improving human attitudes, behaviour and well-being in relation to the physical environment. The first new book covering research methods in environmental psychology in over 25 years. Brings the subject completely up-to-date with coverage of the latest methodology in the field The level of public concern over the impact of the environment on humans is high, making this book timely and of real interest to a fast growing discipline Comprehensively surveys the research and application methods for studying, changing, and improving human attitudes, behavior, and well-being in relation to the physical environment Robert Gifford is internationally recognised as one of the leading individuals in this field, and the contributors include many of the major leaders in the discipline

Food nanotechnology is an expanding field. This expansion is based on the advent of new technologies for nanostructure characterization, visualization, and construction. Nanotechnology Research Methods for Food and Bioproducts introduces the reader to a selection of the most widely used techniques in food and bioproducts nanotechnology. This book focuses on state-of-the-art equipment and contains a description of the essential tool kit of a nanotechnologist. Targeted at researchers and product development teams, this book serves as a quick reference and a guide in the selection of nanotechnology experimental research tools.

A comprehensive introduction to research methods and best practices for designing,conducting, interpreting, and reporting findings This text is designed to develop in students a passion for conducting research and an understanding of the practical value of systematic information- gathering and decision-making. It features step-by-step coverage of the research process including research design, statistical considerations, and guidance on writing up and presenting results. Recognized leaders in the field—authors Bart Weathington, Christopher Cunningham, and David Pittenger—present: Introductions to multiple research designs—including single-participant, multi-group, longitudinal, correlational, and experimental designs—accompanied by examples Bibliographic research and methods for appropriate sampling Identifying, developing, and evaluating reliable and valid approaches to measurement The issues and steps common to all single-factor and multifactor studies, as well as single-subject and nonexperimental methods How to summarize research in writing that conforms to the editorial guidelines of the American Psychological Association A comprehensive review of research methods and the statistical concepts that support them, Research Methods for the Behavioral and Social Sciences offers the best techniques for studying behavior and social phenomena.

Provides the basic skills and information required to prepare an environmental sample for analysis. Divided into two sections, i.e. Inorganic Analysis and Organic Analysis, this book covers selected techniques, principally atomic spectroscopy and chromatography. Using flow diagrams to augment the experimental information, it highlights the most appropriate methods and the likely results. Detailed experimental information provided in an easy-to-follow style with illustrations Describes the specific sample preparation approaches necessary to analyse a particular sample type Discussion of selected literature sources highlights the most appropriate methods and the likely results obtained

Quantitative Research Methods for Health Professionals: A Practical Interactive Course is a superb introduction to epidemiology, biostatistics, and research methodology for the whole health care community. Drawing examples from a wide range of health research, this practical handbook covers important contemporary health research methods such as survival analysis, Cox regression, and meta-analysis, the understanding of which go beyond introductory concepts. The book includes self-assessment exercises throughout to help students explore and reflect on their understanding and a clear distinction is made between a) knowledge and concepts that all students should ensure they understand and b) those that can be pursued by students who wish to do so. The authors incorporate a program of practical exercises in SPSS using a prepared data set that helps to consolidate the theory and develop skills and confidence in data handling, analysis and interpretation.

The material in this book attempts to address mathematical calculations common to both the environmental science and engineering professionals. The book provides the reader with nearly 100 solved illustrative examples. The interrelationship between both theory and applications is emphasized in nearly all of the 35 chapters. One key feature of this book is that the solutions to the problems are presented in a stand-alone manner. Throughout the book, the illustrative examples are laid out in such a way as to develop the reader’s technical understanding of the subject in question, with more difficult examples located at or near the end of each set. In presenting the text material, the authors have stressed the pragmatic approach in the application of mathematical tools to assist the reader in grasping the role of mathematical skills in environmental problem-solving situations. The book is divided up into five (V) parts: Introduction Analytical Analysis Numerical Analysis Statistical Analysis Optimization

A practical «how to» guide for multiple methods in metabolism, with a critical and objective discussion of strengths, limitations, and appropriate applications of the described methods. Edited by the winner of the Oskar-Minkowski Prize of the EASD in 2006 Clinical trials in populations at risk of or with overt diabetes mellitus are being performed all around the world to test novel drugs and approaches to managing these diseases. During the last decade, new methods and techniques have been introduced – and are being developed further – that facilitate monitoring of metabolism and even diagnosis of certain defects in human metabolism. While some of these methods are restricted to research facilities, others are already used in clinical practice. The correct beneficial use of these methods requires knowledge of the nature of the techniques and their clinical relevance. Clinical Diabetes Research: Methods and Techniques provides summaries of established state-of-the art-techniques and introduces the new technologies, evaluating their potential in clinical diabetes research. One section compares the efficacy of all metabolic tests that measure insulin action. Another section describes methods that allow quantification of whole body and intracellular metabolic fluxes relevant to diabetes research. The final section focuses on the planning and pitfalls of clinical studies in the field of metabolism. Each chapter throughout the book combines the theoretical basis of the approach with practical recommendations. There are further chapters on the design of clinical trials and ethical considerations. The publication is timely in view of the impressive development of the methods and techniques with their application to understanding the pathophysiology of diabetes, insulin resistance syndromes, obesity, and the metabolic effects of treatment. Clinical Diabetes Research: Methods and Techniques is of great relevance for researchers (from students and post-docs to principal investigators) in the field of human metabolism, clinical endocrinologists and diabetologists who are involved in clinical studies.

Analytical Methods for Environmental Contaminants of Emerging Concern Provides the analytical methodology required to detect different families of organic compounds of emerging concern (CECs) from environmental samples Most contaminants of emerging concern (CECs) —such as pharmaceuticals, personal care products, pesticides, sunscreens, perfluorinated compounds, and microplastics—have been present in the environment for years, yet some have only recently been identified, and many of these organic compounds remain unregulated. Analytical methods have been developed to determine the toxicity and risk of different families of CECs. Analytical Methods for Environmental Contaminants of Emerging Concern presents the methods currently available to determine families of organic CECs in environmental samples. Each section of the book is devoted to a particular family of CECs, covering different analytical methods supported by examples of both cutting-edge research and commonly used methods. An international panel of experts describes every step of the analytical procedures, including sample preparation, chromatographic separation coupled to mass spectrometry or other instrumental techniques. Specific requirements are linked to the properties of the contaminants and the sample matrix for each procedure presented. Throughout the book, in-depth case studies of analytical procedures for CEC extraction, separation, and determination are presented to help readers transfer the analytical methods to their laboratories. Provides detailed descriptions of various approaches for determining each group of CECs in environmental samples Covers different types of aqueous, solid, and atmospheric samples Includes up-to-date information on CEC properties, relevant legislation, reported or potential metabolites/transformation products, and environmental occurrence Addresses CECs such as novel psychoactive substances, artificial sweeteners, musk fragrances, disinfection byproducts, and microplastics Offers practical tips and advice on special care procedures to assist readers in CEC determination Analytical Methods for Environmental Contaminants of Emerging Concern is an essential reference and guide for advanced students and researchers in analytical chemistry and science, environmental science, forensic science, and specialized subjects related to analytical chemistry.

The first all-inclusive introduction to modern statistical research methods in the natural resource sciences The use of Bayesian statistical analysis has become increasingly important to natural resource scientists as a practical tool for solving various research problems. However, many important contemporary methods of applied statistics, such as generalized linear modeling, mixed-effects modeling, and Bayesian statistical analysis and inference, remain relatively unknown among researchers and practitioners in this field. Through its inclusive, hands-on treatment of real-world examples, Contemporary Bayesian and Frequentist Statistical Research Methods for Natural Resource Scientists successfully introduces the key concepts of statistical analysis and inference with an accessible, easy-to-follow approach. The book provides case studies illustrating common problems that exist in the natural resource sciences and presents the statistical knowledge and tools needed for a modern treatment of these issues. Subsequent chapter coverage features: An introduction to the fundamental concepts of Bayesian statistical analysis, including its historical background, conjugate solutions, Bayesian hypothesis testing and decision-making, and Markov Chain Monte Carlo solutions The relevant advantages of using Bayesian statistical analysis, rather than the traditional frequentist approach, to address research problems Two alternative strategies?€”the a posteriori model selection strategy and the a priori parsimonious model selection strategy using AIC and DIC?€”to model selection and inference The ideas of generalized linear modeling (GLM), focusing on the most popular GLM of logistic regression An introduction to mixed-effects modeling in S-Plus?® and R for analyzing natural resource data sets with varying error structures and dependencies Each statistical concept is accompanied by an illustration of its frequentist application in S-Plus?® or R as well as its Bayesian application in WinBUGS. Brief introductions to these software packages are also provided to help the reader fully understand the concepts of the statistical methods that are presented throughout the book. Assuming only a minimal background in introductory statistics, Contemporary Bayesian and Frequentist Statistical Research Methods for Natural Resource Scientists is an ideal text for natural resource students studying statistical research methods at the upper-undergraduate or graduate level and also serves as a valuable problem-solving guide for natural resource scientists across a broad range of disciplines, including biology, wildlife management, forestry management, fisheries management, and the environmental sciences.

This is the first volume exclusively devoted to research methods in language policy and planning (LPP). Each chapter is written by a leading language policy expert and provides a how-to guide to planning studies as well as gathering and analyzing data Covers a broad range of methods, making it easily accessible to and useful for transdisciplinary researchers working with language policy in any capacity Will serve as both a foundational methods text for graduate students and novice researchers, and a useful methodological reference for experienced LPP researchers Includes a series of guidelines for public engagement to assist scholars as they endeavor to incorporate their work into the public policy process