How can you energize yourself to maintain or regain a positive outlook and love of teaching? What specific, immediate actions can you take to enhance your well-being and thrive both on and off the job? Award-winning teacher Chase Mielke draws from his own research, lesson plans, and experiences with burnout to help you change your outlook, strengthen your determination to be a terrific teacher, and reignite your core passion for teaching. Often lighthearted, yet thoroughly grounded in research on social-emotional learning and positive psychology, The Burnout Cure explains how shifts in awareness, attitudes, and actions can be transformational for you and for your students. The book describes specific steps related to mindfulness, empathy, gratitude, and altruism that you can use on your own and with students via classroom lessons and activities. Equipped with these tools, teachers can be their best, so they can give their best to the learners in their care.

Much attention has been focused on U.S. dependency on imports for supplies of strategic minerals and materials. There is alarm about the extent of that dependency and about the possibility that U.S. economic, political, and strategic decisions might be unduly influenced by arbitrary actions of foreign suppliers. In addition, there is concern that t

Covering American literature from its pre-contact Indigenous beginnings through the Reconstruction period, the first two volumes of The Broadview Anthology of American Literature represent a substantial reconceiving of the canon of early American literature. Guided by the latest scholarship in American literary studies, and deeply committed to inclusiveness, social responsibility, and rigorous contextualization, the anthology balances representation of widely agreed-upon major works with an emphasis on American literature's diversity, variety, breadth, and connections with the rest of the Americas. Highlights of Volumes A & B: Beginnings to Reconstruction * Complete texts of Mary Rowlandson's captivity narrative, The Coquette, Narrative of the Life of Frederick Douglass, An American Slave; and Benito Cereno * In-depth, Contexts sections on such topics as "Slavery and Resistance," "Print Culture and Popular Literature," "Expansion, Native American Expulsion, and Manifest Destiny," and "Gender and Sexuality" * Broader and more extensive coverage of Indigenous oral and visual literature and African American oral literature than in competing anthologies * Full author sections in the anthology are devoted to authors such as Anne Hutchinson, Sor Juana Ines de la Cruz, Briton Hammon, Jane Johnston Schoolcraft, Jose Maria Heredia, Black Hawk, and many others This two-volume package is available in both print (9781039301573) and digital (9781770488274) formats. If you are an instructor ordering this package for course use, please provide your bookstore with both ISBNs.

The primary purpose of this textbook is to introduce the reader to a wide variety of elementary permutation statistical methods. Permutation methods are optimal for small data sets and non-random samples, and are free of distributional assumptions. The book follows the conventional structure of most introductory books on statistical methods, and features chapters on central tendency and variability, one-sample tests, two-sample tests, matched-pairs tests, one-way fully-randomized analysis of variance, one-way randomized-blocks analysis of variance, simple regression and correlation, and the analysis of contingency tables. In addition, it introduces and describes a comparatively new permutation-based, chance-corrected measure of effect size. Because permutation tests and measures are distribution-free, do not assume normality, and do not rely on squared deviations among sample values, they are currently being applied in a wide variety of disciplines. This book presents permutation alternatives to existing classical statistics, and is intended as a textbook for undergraduate statistics courses or graduate courses in the natural, social, and physical sciences, while assuming only an elementary grasp of statistics.

In this pioneering volume, leading scholars from a diversity of backgrounds in the humanities, social sciences, and different area studies argue for a more differentiated and self-reflected role of area-based science in global knowledge production. Considering that the mobility of people, goods, and ideas make the world more complex and geographically fixed categories increasingly obsolete, the authors call for a reflection of this new dynamism in research, teaching, and theorizing. The book thus moves beyond the constructed divide between area studies and systematic disciplines and instead proposes methodological and conceptual ways for encouraging the integration of marginalized and often overseen epistemologies. Essays on the ontological, theoretical, and pedagogical dimension of area studies highlight how people's everyday practices of mobility challenge scholars, students, and practitioners of inter- and transdisciplinary area studies to transcend the cognitive boundaries that scholarly minds currently operate in.

This research monograph utilizes exact and Monte Carlo permutation statistical methods to generate probability values and measures of effect size for a variety of measures of association. Association is broadly defined to include measures of correlation for two interval-level variables, measures of association for two nominal-level variables or two ordinal-level variables, and measures of agreement for two nominal-level or two ordinal-level variables. Additionally, measures of association for mixtures of the three levels of measurement are considered: nominal-ordinal, nominal-interval, and ordinal-interval measures. Numerous comparisons of permutation and classical statistical methods are presented. Unlike classical statistical methods, permutation statistical methods do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity of variance, and depend only on the data at hand. This book takes a unique approach to explaining statistics by integrating a large variety of statistical methods, and establishing the rigor of a topic that to many may seem to be a nascent field. This topic is relatively new in that it took modern computing power to make permutation methods available to those working in mainstream research. Written for a statistically informed audience, it is particularly useful for teachers of statistics, practicing statisticians, applied statisticians, and quantitative graduate students in fields such as psychology, medical research, epidemiology, public health, and biology. It can also serve as a textbook in graduate courses in subjects like statistics, psychology, and biology.

This research monograph provides a synthesis of a number of statistical tests and measures, which, at first consideration, appear disjoint and unrelated. Numerous comparisons of permutation and classical statistical methods are presented, and the two methods are compared via probability values and, where appropriate, measures of effect size. Permutation statistical methods, compared to classical statistical methods, do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity of variance, and depend only on the data at hand. This text takes a unique approach to explaining statistics by integrating a large variety of statistical methods, and establishing the rigor of a topic that to many may seem to be a nascent field in statistics. This topic is new in that it took modern computing power to make permutation methods available to people working in the mainstream of research. lly-informed="" audience,="" and="" can="" also="" easily="" serve="" as="" textbook="" in="" graduate="" course="" departments="" such="" statistics,="" psychology,="" or="" biology.="" particular,="" the="" audience="" for="" book="" is="" teachers="" of="" practicing="" statisticians,="" applied="" quantitative="" students="" fields="" medical="" research,="" epidemiology,="" public="" health,="" biology.

In this pioneering volume, leading scholars from a diversity of backgrounds in the humanities, social sciences, and different area studies argue for a more differentiated and self-reflected role of area-based science in global knowledge production. Considering that the mobility of people, goods, and ideas make the world more complex and geographically fixed categories increasingly obsolete, the authors call for a reflection of this new dynamism in research, teaching, and theorizing. The book thus moves beyond the constructed divide between area studies and systematic disciplines and instead proposes methodological and conceptual ways for encouraging the integration of marginalized and often overseen epistemologies. Essays on the ontological, theoretical, and pedagogical dimension of area studies highlight how people's everyday practices of mobility challenge scholars, students, and practitioners of inter- and transdisciplinary area studies to transcend the cognitive boundaries that scholarly minds currently operate in.

This research monograph provides a synthesis of a number of statistical tests and measures, which, at first consideration, appear disjoint and unrelated. Numerous comparisons of permutation and classical statistical methods are presented, and the two methods are compared via probability values and, where appropriate, measures of effect size. Permutation statistical methods, compared to classical statistical methods, do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity of variance, and depend only on the data at hand. This text takes a unique approach to explaining statistics by integrating a large variety of statistical methods, and establishing the rigor of a topic that to many may seem to be a nascent field in statistics. This topic is new in that it took modern computing power to make permutation methods available to people working in the mainstream of research. lly-informed="" audience,="" and="" can="" also="" easily="" serve="" as="" textbook="" in="" graduate="" course="" departments="" such="" statistics,="" psychology,="" or="" biology.="" particular,="" the="" audience="" for="" book="" is="" teachers="" of="" practicing="" statisticians,="" applied="" quantitative="" students="" fields="" medical="" research,="" epidemiology,="" public="" health,="" biology.

The focus of this book is on the birth and historical development of permutation statistical methods from the early 1920s to the near present. Beginning with the seminal contributions of R.A. Fisher, E.J.G. Pitman, and others in the 1920s and 1930s, permutation statistical methods were initially introduced to validate the assumptions of classical statistical methods. Permutation methods have advantages over classical methods in that they are optimal for small data sets and non-random samples, are data-dependent, and are free of distributional assumptions. Permutation probability values may be exact, or estimated via moment- or resampling-approximation procedures. Because permutation methods are inherently computationally-intensive, the evolution of computers and computing technology that made modern permutation methods possible accompanies the historical narrative. Permutation analogs of many well-known statistical tests are presented in a historical context, including multiple correlation and regression, analysis of variance, contingency table analysis, and measures of association and agreement. A non-mathematical approach makes the text accessible to readers of all levels.

This volume examines the interrelationship of ecology, subsistence pat terns, and the observed genetic variation in human populations. Hence, the book is divided conceptually into the following categories: nonhuman primates, hunters and gatherers, nomads, swidden agriculturalists, peas ant farmers, religious isolates, and modern and urban aggregates. While many of these populations have experienced (and are experiencing) ac culturation as a result of contact with technologically more advanced groups, the genetic structures described in this volume attempt to recon struct the traditional patterns as well as genetic changes because of con tact. Most chapters also integrate biological (genetic), social, and de mographic data within an ecological frame thus presenting a holistic view of the population structures of ecologically distinct groups. The first chapter examines the body of early nonhuman primate lit erature that emphasized ecological determinism in effecting the popula tion structure of our primate ancestors-relatives. It also examines more recent literature (since 1970) in which it became apparent that greater flexibility exists in primate social structure within specific environmental frameworks. Thus, it appears that our nonhuman primate evolutionary heritage is not one of ecological determinism in social organization but one of flexibility and rapid change suggesting the evolutionary success of our species is based upon a system of flexibility and that social ad aptations can be accomplished in a number of diverse ways."

The papers in this volume were presented as part of the University of Kansas Department of Anthropology Distinguished Lecture Program on Anthro pological Genetics. Consecutively, each contributor spent approximately a week on the campus at Lawrence participating in a seminar. The contributors to this volume were not on campus at one time, but visited us on alternating weeks; hence, a symposium-type interchange was not possible between all participants. However, the students and faculty of Kansas University acted as a sounding board. This volume can be considered a companion and continuation of Methods and Theories of Anthropological Genetics, which was based upon a symposium on the state of the art in 1971. This present volume reflects what we consider to be some of the advances and current developments in anthropological genetics since 1973. Emphasis has shifted, to some degree, away from population struc ture analysis (as depicted in Crawford and Workman) to genetic epidemiology. However, population structure still remains a fertile and ongoing area of research with many theoretical questions still remaining unanswered."

This volume collects the notes of the CIME course "Nonlinear PDE s and applications" held in Cetraro (Italy) on June 23 28, 2008. It consists of four series of lectures, delivered by Stefano Bianchini (SISSA, Trieste), Eric A. Carlen (Rutgers University), Alexander Mielke (WIAS, Berlin), and Cedric Villani (Ecole Normale Superieure de Lyon). They presented a broad overview of far-reaching findings and exciting new developments concerning, in particular, optimal transport theory, nonlinear evolution equations, functional inequalities, and differential geometry. A sampling of the main topics considered here includes optimal transport, Hamilton-Jacobi equations, Riemannian geometry, and their links with sharp geometric/functional inequalities, variational methods for studying nonlinear evolution equations and their scaling properties, and the metric/energetic theory of gradient flows and of rate-independent evolution problems. The book explores the fundamental connections between all of these topics and points to new research directions in contributions by leading experts in these fields.

Statistical Mining and Data Visualization in Atmospheric Sciences brings together in one place important contributions and up-to-date research results in this fast moving area. Statistical Mining and Data Visualization in Atmospheric Sciences serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

This book gives an overview of the research projects within the SFB 404 "Mehrfeldprobleme in der Kontinuumsmechanik." The book is for researchers and graduate students in applied mechanics and civil engineering.

This is the second edition of the comprehensive treatment of statistical inference using permutation techniques. It makes available to practitioners a variety of useful and powerful data analytic tools that rely on very few distributional assumptions. Although many of these procedures have appeared in journal articles, they are not readily available to practitioners. This new and updated edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean distance functions that have excellent robustness characteristics. These alternative permutation techniques provide many powerful multivariate tests including multivariate multiple regression analyses.

This is the second edition of the comprehensive treatment of statistical inference using permutation techniques. It makes available to practitioners a variety of useful and powerful data analytic tools that rely on very few distributional assumptions. Although many of these procedures have appeared in journal articles, they are not readily available to practitioners. This new and updated edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean distance functions that have excellent robustness characteristics. These alternative permutation techniques provide many powerful multivariate tests including multivariate multiple regression analyses.

Understanding the interaction between various processes is a pre-requisite for solving problems in natural and engineering sciences. Many phenomena can not be described by concentrating on them in isolation - therefore multifield models and concepts that include various kinds of field problems and processes are needed. This book summarizes the main scientific results of the Collaborative Research Center on Multifield Problems in Continuum Mechanics (Sonderforschungsbereich Mehrfeldprobleme in der Kontinuumsmechanik, SFB 404) funded by the German Research Foundation (DFG) from 1995-2006. The book is divided into three main sections: A: Volume-Coupled Problems, devoted to fields which are coupled inside the processing domain or volume, B: Boundary-Coupled Problems, here physical fields and processes are coupled via domain boundaries, C: Fundamental Methods, search into the mathematical concepts and backgrounds of multifield and multiscale modeling.

This book takes a unique approach to explaining permutation statistics by integrating permutation statistical methods with a wide range of classical statistical methods and associated R programs. It opens by comparing and contrasting two models of statistical inference: the classical population model espoused by J. Neyman and E.S. Pearson and the permutation model first introduced by R.A. Fisher and E.J.G. Pitman. Numerous comparisons of permutation and classical statistical methods are presented, supplemented with a variety of R scripts for ease of computation. The text follows the general outline of an introductory textbook in statistics with chapters on central tendency and variability, one-sample tests, two-sample tests, matched-pairs tests, completely-randomized analysis of variance, randomized-blocks analysis of variance, simple linear regression and correlation, and the analysis of goodness of fit and contingency. Unlike classical statistical methods, permutation statistical methods do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity, depend only on the observed data, and do not require random sampling. The methods are relatively new in that it took modern computing power to make them available to those working in mainstream research. Designed for an audience with a limited statistical background, the book can easily serve as a textbook for undergraduate or graduate courses in statistics, psychology, economics, political science or biology. No statistical training beyond a first course in statistics is required, but some knowledge of, or some interest in, the R programming language is assumed.

Statistical Mining and Data Visualization in Atmospheric Sciences brings together in one place important contributions and up-to-date research results in this fast moving area. Statistical Mining and Data Visualization in Atmospheric Sciences serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

The theory of center manifold reduction is studied in this monograph in the context of (infinite-dimensional) Hamil- tonian and Lagrangian systems. The aim is to establish a "natural reduction method" for Lagrangian systems to their center manifolds. Nonautonomous problems are considered as well assystems invariant under the action of a Lie group ( including the case of relative equilibria). The theory is applied to elliptic variational problemson cylindrical domains. As a result, all bounded solutions bifurcating from a trivial state can be described by a reduced finite-dimensional variational problem of Lagrangian type. This provides a rigorous justification of rod theory from fully nonlinear three-dimensional elasticity. The book will be of interest to researchers working in classical mechanics, dynamical systems, elliptic variational problems, and continuum mechanics. It begins with the elements of Hamiltonian theory and center manifold reduction in order to make the methods accessible to non-specialists, from graduate student level.

This book takes a unique approach to explaining permutation statistics by integrating permutation statistical methods with a wide range of classical statistical methods and associated R programs. It opens by comparing and contrasting two models of statistical inference: the classical population model espoused by J. Neyman and E.S. Pearson and the permutation model first introduced by R.A. Fisher and E.J.G. Pitman. Numerous comparisons of permutation and classical statistical methods are presented, supplemented with a variety of R scripts for ease of computation. The text follows the general outline of an introductory textbook in statistics with chapters on central tendency and variability, one-sample tests, two-sample tests, matched-pairs tests, completely-randomized analysis of variance, randomized-blocks analysis of variance, simple linear regression and correlation, and the analysis of goodness of fit and contingency. Unlike classical statistical methods, permutation statistical methods do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity, depend only on the observed data, and do not require random sampling. The methods are relatively new in that it took modern computing power to make them available to those working in mainstream research. Designed for an audience with a limited statistical background, the book can easily serve as a textbook for undergraduate or graduate courses in statistics, psychology, economics, political science or biology. No statistical training beyond a first course in statistics is required, but some knowledge of, or some interest in, the R programming language is assumed.

This book explores an alternate history of the power and agency of 30 Hungarian queens over 400 years by a rigorous examination of the material culture connected with their lives. By researching the objects, images, and spaces, it demonstrates how these women expressed and displayed their power. Queens used material culture and space not only to demonstrate their own power to a wide, international audience, but also to consolidate their own position when it was weakened by external circumstances. Both the public and private image of the queen factors significantly in understanding in her own role at the strongly centralized Hungarian court, and, moreover, how her position and person strengthened and complemented that of the king.

This book explores an alternate history of the power and agency of 30 Hungarian queens over 400 years by a rigorous examination of the material culture connected with their lives. By researching the objects, images, and spaces, it demonstrates how these women expressed and displayed their power. Queens used material culture and space not only to demonstrate their own power to a wide, international audience, but also to consolidate their own position when it was weakened by external circumstances. Both the public and private image of the queen factors significantly in understanding in her own role at the strongly centralized Hungarian court, and, moreover, how her position and person strengthened and complemented that of the king.

This book presents a guideline for turning any organisation into a more mindful one, allowing it to manage unexpected events and develop stronger resilience. The author conducted empirical research with a German IT company's staff and its leadership in a longitudinal way. The whole team was trained in individual mindfulness competencies. Individual mindfulness is a state of being that can be developed through mindfulness mediation. When combined with social interactions, cultural adaptations and structural changes, collective mindfulness develops. Collective mindfulness allows an organisation to become more agile. The author argues that mindfulness training influences the openness and knowledge-sharing behaviour of an organisation, first on an individual and then a collective level. Such training can generate awareness, increase empathy between the team members, and lead towards a more successful organisation. This study can inspire team managers to improve the work environment as well as academics to update their current level of research in the field of individual and collective mindfulness.