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.

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 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.

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.

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 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.

An insightful study of seven great pop musicians who expanded the boundaries of musical creativity in their own different ways during the peaks of their careers in the second half of the 20th Century. The musicians discussed in this work are Yoko Ono, Frank Zappa, Neil Young, Joni Mitchell, Sun Ra, James Brown, and Sigmund Snopek III. The author Bob Mielke teaches American Literature and Culture at Truman State University.

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

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 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.

Conflicts between different racial, ethnic, national and other social groups are becoming more and more salient. One of the main sources of these internal conflicts is social and economic inequality, in particular the increasing disparities between majority and minority groups. Even societies that had been successful in dealing with external conflicts and making the transition from war to peace have realized that this does not automatically resolve internal conflicts. On the contrary, the resolution of external conflicts may even sharpen the internal ones. This volume, a joint publication of the University of Haifa and the International Center for Graduate Studies (ICGS) at the University of Hamburg, addresses questions of how to deal with internal issues of social inequality and cultural diversity and, at the same time, how to build a shared civility among their different national, ethnic, religious and social groups.

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.

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 volume is a collection of essays focusing on marginalized women mostly in Central and Eastern Europe from around 1350 to 1650. "Other" women are discussed in three different categories: women whose religious practices put them on the social margins, "common women" who are in society but not of society because they are in the sex trade, and women whose occupations were reason enough to shunt them. In order to fill a gap in gender history for countries east of the Rhine River, the studies included present how official city-funded brothels in medieval Austria worked, how a princess' disability affected her life as Byzantine empress, how one unmarried Transylvanian woman who got pregnant dealt with being the center of a court case, and how enslaved women in medieval Hungary were treated as sexual property. The hope with this volume is that it will show the many interdisciplinary ways that women on the margins can be studied in this region, and to diminish the taboo of discussing this topic to begin with.

About the Anthology Guided by the latest scholarship in American literary studies, and deeply committed to inclusiveness, social responsibility, and rigorous contextualization, The Broadview Anthology of American Literature balances representation of widely agreed-upon major works with a thoroughgoing reassessment of the canon that emphasizes American literature’s diversity, variety, breadth, and connections with the rest of the Americas. This concise volume represents American literature from its pre-contact Indigenous beginnings through the Reconstruction period, offering a more streamlined alternative to the full two-volume set covering the same timespan. Highlights of Concise Volume 1: Beginnings to Reconstruction • Complete texts of Mary Rowlandson’s captivity narrative; Narrative of the Life of Frederick Douglass, An American Slave; and Benito Cereno • In-depth thematic sections on such topics as “Rebellions and Revolutions,” “Print Culture and Popular Literature,” and “Expansion, Native American Expulsion, and Manifest Destiny” • 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 Inés de la Cruz, Briton Hammon, Jane Johnston Schoolcraft, José María Heredia, Black Hawk, and many others • Extensive online component offers well over a thousand pages of additional readings and other resources

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."