Explores scientific and regulatory issues within the framework of a program for the management of toxic substances. Covers all major elements of toxic handling and treatment/disposal. Includes listings of government agency contacts, hotline, reporting, and regulated toxics. Intended for environmenta

T.D. Kokoszka grew up in Texas with a Jewish mother and a Polish-American father. While he was aware of roots going back to Eastern Europe from both families, he found it hard to learn very much about them. He knew that Polish people would whack one another with palm leaves around Easter, and he knew that his great-grandmother purportedly believed in forest spirits known as borowy. However, it wasn't until he was in his teens that he became vaguely aware of an ancient people known as the Slavs who gave rise to the Polish, Ukrainian, Russian, Serbian, Bulgarian, Slovakian, Slovene, and Czech languages. It quickly became clear to him that this was a family of cultures currently under-represented in popular culture, and even in western scholarship. Not simply a regurgitation of scholarship from the Soviet period - and presenting new analyses by using previously neglected resources - Bogowie: A Study of Eastern Europe's Ancient Gods offers one of the most painstaking scholarly reconstructions of Slavic paganism. These new resources include not only an overview of folklore from many different Slavic countries but also comparisons with Ossetian culture and Mordvin culture, as well as a series of Slavic folktales that Kokoszka analyzes in depth, often making the case that the narratives involved are mythological and shockingly ancient. Readers will recognize many European folktale types and possibly learn to look at these folktales differently after reading this book.

Introduction to Functional Data Analysis provides a concise textbook introduction to the field. It explains how to analyze functional data, both at exploratory and inferential levels. It also provides a systematic and accessible exposition of the methodology and the required mathematical framework. The book can be used as textbook for a semester-long course on FDA for advanced undergraduate or MS statistics majors, as well as for MS and PhD students in other disciplines, including applied mathematics, environmental science, public health, medical research, geophysical sciences and economics. It can also be used for self-study and as a reference for researchers in those fields who wish to acquire solid understanding of FDA methodology and practical guidance for its implementation. Each chapter contains plentiful examples of relevant R code and theoretical and data analytic problems. The material of the book can be roughly divided into four parts of approximately equal length: 1) basic concepts and techniques of FDA, 2) functional regression models, 3) sparse and dependent functional data, and 4) introduction to the Hilbert space framework of FDA. The book assumes advanced undergraduate background in calculus, linear algebra, distributional probability theory, foundations of statistical inference, and some familiarity with R programming. Other required statistics background is provided in scalar settings before the related functional concepts are developed. Most chapters end with references to more advanced research for those who wish to gain a more in-depth understanding of a specific topic.

States of Consciousness expands on the pioneering work of J.H. Jackson, offering contemporary models for studying consciousness in both pathology and normal altered states, including relaxation, sleep, meditation, and hypnosis. The author clarifies distinctions between the neuroscientific and psychiatric components of consciousness; at the same time, his theories are rooted firmly in the biopsychosocial approach. The book's scope and the author's attention to detail make it a work of great versatility.

States of Consciousness expands on the pioneering work of J.H. Jackson, offering contemporary models for studying consciousness in both pathology and normal altered states, including relaxation, sleep, meditation, and hypnosis. The author clarifies distinctions between the neuroscientific and psychiatric components of consciousness; at the same time, his theories are rooted firmly in the biopsychosocial approach. The book 's scope and the author 's attention to detail make it a work of great versatility.

This book presents recently developed statistical methods and theory required for the application of the tools of functional data analysis to problems arising in geosciences, finance, economics and biology. It is concerned with inference based on second order statistics, especially those related to the functional principal component analysis. While it covers inference for independent and identically distributed functional data, its distinguishing feature is an in depth coverage of dependent functional data structures, including functional time series and spatially indexed functions. Specific inferential problems studied include two sample inference, change point analysis, tests for dependence in data and model residuals and functional prediction. All procedures are described algorithmically, illustrated on simulated and real data sets, and supported by a complete asymptotic theory. The book can be read at two levels. Readers interested primarily in methodology will find detailed descriptions of the methods and examples of their application. Researchers interested also in mathematical foundations will find carefully developed theory. The organization of the chapters makes it easy for the reader to choose an appropriate focus. The book introduces the requisite, and frequently used, Hilbert space formalism in a systematic manner. This will be useful to graduate or advanced undergraduate students seeking a self-contained introduction to the subject. Advanced researchers will find novel asymptotic arguments.

This book presents recently developed statistical methods and theory required for the application of the tools of functional data analysis to problems arising in geosciences, finance, economics and biology. It is concerned with inference based on second order statistics, especially those related to the functional principal component analysis. While it covers inference for independent and identically distributed functional data, its distinguishing feature is an in depth coverage of dependent functional data structures, including functional time series and spatially indexed functions. Specific inferential problems studied include two sample inference, change point analysis, tests for dependence in data and model residuals and functional prediction. All procedures are described algorithmically, illustrated on simulated and real data sets, and supported by a complete asymptotic theory. The book can be read at two levels. Readers interested primarily in methodology will find detailed descriptions of the methods and examples of their application. Researchers interested also in mathematical foundations will find carefully developed theory. The organization of the chapters makes it easy for the reader to choose an appropriate focus. The book introduces the requisite, and frequently used, Hilbert space formalism in a systematic manner. This will be useful to graduate or advanced undergraduate students seeking a self-contained introduction to the subject. Advanced researchers will find novel asymptotic arguments.

The present book entitled Cereals of antiquity and early Byzantine times. Wheat and barley in medical sources (second to seventh centuries AD), penned by Maciej Kokoszko, Krzysztof Jagusiak and Zofia Rzeznicka, aims at a detailed analysis of the evolution of dietetic doctrines and an assessment of the value of medical sources for historians of food. In order to achieve the goal, the authors have analysed select medical sources composed between the 2nd and the 7th centuries AD, i.e., treatises published from the moment of canonizing dietetic doctrine by Galen up to the composition of the medical encyclopaedia compiled by Paul of Aegina and the publication of the anonymous work entitled De cibis. Within this timeframe, there appeared a number of works which, following the assumptions of the Hippocratic school, contain a cohesive discourse devoted to the role of food in maintaining and restoring human health, thus allowing us to trace the development of diets during the period in question.In order to conduct their research, the authors have selected a food group, namely cereals and cereal products, starting with common and durum wheat (and including in the research hulled wheats, i.e. einkorn, emmer and spelt) and finishing with barley, since all the above-mentioned crops constituted the basis of diet of the majority of peoples inhabiting the Mediterranean. The researches have shown the history of the said cereals in the area around the Mediterranean Sea, singled out the most important products obtained therefrom, demonstrated their dietetic evaluations as presented in the sources, determined the place of cereals in cuisine and outlined their role in medical procedures.The final result of the analyses proves stability of the dietetic doctrines throughout the researched period, explains intricacies of the conceptual system developed by the medical doctors to describe cereal and other foodstuffs, defines recipes, methods and technologies profited from in food processing and outlines the place of cereal substances (both as independent medicinal agents or as ingredients included in composed medicaments) in popular medical treatment methods.

Introduction to Functional Data Analysis provides a concise textbook introduction to the field. It explains how to analyze functional data, both at exploratory and inferential levels. It also provides a systematic and accessible exposition of the methodology and the required mathematical framework. The book can be used as textbook for a semester-long course on FDA for advanced undergraduate or MS statistics majors, as well as for MS and PhD students in other disciplines, including applied mathematics, environmental science, public health, medical research, geophysical sciences and economics. It can also be used for self-study and as a reference for researchers in those fields who wish to acquire solid understanding of FDA methodology and practical guidance for its implementation. Each chapter contains plentiful examples of relevant R code and theoretical and data analytic problems. The material of the book can be roughly divided into four parts of approximately equal length: 1) basic concepts and techniques of FDA, 2) functional regression models, 3) sparse and dependent functional data, and 4) introduction to the Hilbert space framework of FDA. The book assumes advanced undergraduate background in calculus, linear algebra, distributional probability theory, foundations of statistical inference, and some familiarity with R programming. Other required statistics background is provided in scalar settings before the related functional concepts are developed. Most chapters end with references to more advanced research for those who wish to gain a more in-depth understanding of a specific topic.