Methods

Time series econometrics is a rapidly evolving field. Particularly, the cointegration revolution has had a substantial impact on applied analysis. Hence, no textbook has managed to cover the full range of methods in current use and explain how to proceed in applied domains. This gap in the literature motivates the present volume. The methods are sketched out, reminding the reader of the ideas underlying them and giving sufficient background for empirical work. The treatment can also be used as a textbook for a course on applied time series econometrics. Topics include: unit root and cointegration analysis, structural vector autoregressions, conditional heteroskedasticity and nonlinear and nonparametric time series models. Crucial to empirical work is the software that is available for analysis. New methodology is typically only gradually incorporated into existing software packages. Therefore a flexible Java interface has been created, allowing readers to replicate the applications and

A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental matrix and the trifocal tensor. The theory and methods of computation of these entities are discussed with real examples, as is their use in the reconstruction of scenes from multiple images. The new edition features an extended introduction covering the key ideas in the book (which itself has been updated with additional examples and appendices) and significant new results which have appeared since the first edition. Comprehensive background material is provided, so readers familiar with linear algebra and basic numerical methods can understand the projective geometry and estimation algorithms presented, and implement the algorithms directly fr

In this short and very practical 2002 introduction to econometrics Philip Hans Franses guides the reader through the essential concepts of econometrics. Central to the book are practical questions in various economic disciplines, which can be answered using econometric methods and models. The book focuses on a limited number of the essential, most widely used methods, before going on to review the basics of econometrics. The book ends with a number of case studies drawn from recent empirical work to provide an intuitive illustration of what econometricians do when faced with practical questions. Throughout the book Franses emphasises the importance of specification, evaluation and implementation of models appropriate to the data. Assuming basic familiarity only with matrix algebra and calculus the book is designed to appeal as either a short stand-alone introduction for students embarking on an empirical research project or as a supplement to any standard introductory textbook.

This textbook is an accessible introduction to the theory underlying the many fascinating properties of solids. Assuming only an elementary knowledge of quantum mechanics, it describes the methods by which one can perform calculations and make predictions of some of the many complex phenomena that occur in solids and quantum liquids. The emphasis is on reaching important results by direct and intuitive methods, and avoiding unnecessary mathematical complexity. Designed as a self-contained text that starts at an elementary level and proceeds to more advanced topics, this book is aimed primarily at advanced undergraduate and graduate students in physics, materials science, and electrical engineering. Problem sets are included at the end of each chapter, with solutions available to lecturers. The coverage of some of fascinating developments in condensed matter physics will also appeal to experienced scientists in industry and academia working on electrical properties of materials.

This textbook is an accessible introduction to the theory underlying the many fascinating properties of solids. Assuming only an elementary knowledge of quantum mechanics, it describes the methods by which one can perform calculations and make predictions of some of the many complex phenomena that occur in solids and quantum liquids. The emphasis is on reaching important results by direct and intuitive methods, and avoiding unnecessary mathematical complexity. Designed as a self-contained text that starts at an elementary level and proceeds to more advanced topics, this book is aimed primarily at advanced undergraduate and graduate students in physics, materials science, and electrical engineering. Problem sets are included at the end of each chapter, with solutions available to lecturers. The coverage of some of fascinating developments in condensed matter physics will also appeal to experienced scientists in industry and academia working on electrical properties of materials.

What do we do if different studies appear to give different answers? When applying research to questions for individual patients or for health policy, one of the challenges is interpreting such apparently conflicting research. A systematic review is a method to systematically identify relevant research, appraise its quality, and synthesize the results. The last two decades have seen increasing interest and developments in methods for doing high quality systematic reviews. Part I of this book provides a clear introduction to the concepts of reviewing, and lucidly describes the difficulties and traps to avoid. A unique feature of the book is its description, in Part II, of the different methods needed for different types of health care questions: frequency of disease, prognosis, diagnosis, risk, and management. As well as illustrative examples, there are exercises for each of the sections. This is essential reading for those interested in synthesizing health care research.

This book describes the Bayesian approach to statistics at a level suitable for final year undergraduate and Masters students. It is unusual in presenting Bayesian statistics with a practical flavor and an emphasis on mainstream statistics, showing how to infer scientific, medical, and social conclusions from numerical data. The authors draw on many years of experience with practical and research programs and describe many statistical methods, not readily available elsewhere. A first chapter on Fisherian methods, together with a strong overall emphasis on likelihood, makes the text suitable for mainstream statistics courses whose instructors wish to follow mixed or comparative philosophies. The other chapters contain important sections relating to many areas of statistics such as the linear model, categorical data analysis, time series and forecasting, mixture models, survival analysis, Bayesian smoothing, and non-linear random effects models. The text includes a large number of practi

Binary systems of stars are as common as single stars. They are of fundamental importance because they allow stellar masses, radii and luminosities to be measured directly, and explain a host of diverse and energetic phenomena including X-ray binaries, cataclysmic variables, novae, symbiotic stars, and some types of supernovae. This 2001 book was the first to provide a pedagogical and comprehensive introduction to binary stars. It combines theory and observations at all wavelengths to develop a unified understanding of binaries of all categories. It comprehensively reviews methods for calculating orbits, the Roche model, ideas about mass exchange and loss, methods for analysing light curves, the masses and dimensions of different binary systems, and imaging the surfaces of stars and accretion structures. This book provides a thorough introduction to the subject for advanced undergraduate and graduate students. Researchers will also find this to be an authoritative reference.

Binary systems of stars are as common as single stars. They are of fundamental importance because they allow stellar masses, radii and luminosities to be measured directly, and explain a host of diverse and energetic phenomena including X-ray binaries, cataclysmic variables, novae, symbiotic stars, and some types of supernovae. This 2001 book was the first to provide a pedagogical and comprehensive introduction to binary stars. It combines theory and observations at all wavelengths to develop a unified understanding of binaries of all categories. It comprehensively reviews methods for calculating orbits, the Roche model, ideas about mass exchange and loss, methods for analysing light curves, the masses and dimensions of different binary systems, and imaging the surfaces of stars and accretion structures. This book provides a thorough introduction to the subject for advanced undergraduate and graduate students. Researchers will also find this to be an authoritative reference.

This substantial volume has two principal objectives. First it provides an overview of the statistical foundations of Simulation-based inference. This includes the summary and synthesis of the many concepts and results extant in the theoretical literature, the different classes of problems and estimators, the asymptotic properties of these estimators, as well as descriptions of the different simulators in use. Second, the volume provides empirical and operational examples of SBI methods. Often what is missing, even in existing applied papers, are operational issues. Which simulator works best for which problem and why? This volume will explicitly address the important numerical and computational issues in SBI which are not covered comprehensively in the existing literature. Examples of such issues are: comparisons with existing tractable methods, number of replications needed for robust results, choice of instruments, simulation noise and bias as well as efficiency loss in practice.

Wealth ownership in the United States has always concentrated in the hands of a small minority of the population. Because of scarce data on wealth ownership, the nature of wealth ownership distribution and knowledge about wealth inequality has received little attention from social scientists. Keister synthesizes theory and data from various sources to present a picture of househould wealth distribution from 1962 to 1995. Utilizing existing survey data and a unique simulation model, she isolates and examines processes that create this distribution, paying particular attention to the wealth ownership and accumulation of top wealth holders, those who control the bulk of household wealth. She identifies trends in wealth mobility that are not possible to estimate with traditional research methods. The results underscore the importance of wealth as an indicator of well-being, identify important causes of wealth inequality, and propose methods of lessening the recent increase in the concentra

Wealth ownership in the United States has always concentrated in the hands of a small minority of the population. Because of scarce data on wealth ownership, the nature of wealth ownership distribution and knowledge about wealth inequality has received little attention from social scientists. Keister synthesizes theory and data from various sources to present a picture of househould wealth distribution from 1962 to 1995. Utilizing existing survey data and a unique simulation model, she isolates and examines processes that create this distribution, paying particular attention to the wealth ownership and accumulation of top wealth holders, those who control the bulk of household wealth. She identifies trends in wealth mobility that are not possible to estimate with traditional research methods. The results underscore the importance of wealth as an indicator of well-being, identify important causes of wealth inequality, and propose methods of lessening the recent increase in the concentra

This book describes the Bayesian approach to statistics at a level suitable for final year undergraduate and Masters students. It is unusual in presenting Bayesian statistics with a practical flavor and an emphasis on mainstream statistics, showing how to infer scientific, medical, and social conclusions from numerical data. The authors draw on many years of experience with practical and research programs and describe many statistical methods, not readily available elsewhere. A first chapter on Fisherian methods, together with a strong overall emphasis on likelihood, makes the text suitable for mainstream statistics courses whose instructors wish to follow mixed or comparative philosophies. The other chapters contain important sections relating to many areas of statistics such as the linear model, categorical data analysis, time series and forecasting, mixture models, survival analysis, Bayesian smoothing, and non-linear random effects models. The text includes a large number of practi

Systems of conservation laws arise naturally in physics and chemistry. To understand them and their consequences (shock waves, finite velocity wave propagation) properly in mathematical terms requires, however, knowledge of a broad range of topics. This book sets up the foundations of the modern theory of conservation laws, describing the physical models and mathematical methods, leading to the Glimm scheme. Building on this the author then takes the reader to the current state of knowledge in the subject. The maximum principle is considered from the viewpoint of numerical schemes and also in terms of viscous approximation. Small waves are studied using geometrical optics methods. Finally, the initial-boundary problem is considered in depth. Throughout, the presentation is reasonably self-contained, with large numbers of exercises and full discussion of all the ideas. This will make it ideal as a text for graduate courses in the area of partial differential equations.

This textbook on the calculus of variations leads the reader from the basics to modern aspects of the theory. One-dimensional problems and the classical issues like Euler-Lagrange equations are treated, as are Noether's theorem, Hamilton-Jacobi theory, and in particular geodesic lines, thereby developing some important geometric and topological aspects. The basic ideas of optimal control theory are also given. The second part of the book deals with multiple integrals. After a review of Lebesgue integration, Banach and Hilbert space theory and Sobolev spaces (with complete and detailed proofs), there is a treatment of the direct methods and the fundamental lower semicontinuity theorems. Subsequent chapters introduce the basic concepts of the modern calculus of variations, namely relaxation, Gamma convergence, bifurcation theory and minimax methods based on the Palais–Smale condition. The only prerequisites are basic results from calculus of one and several variables. After having studie

Pictures, painted and carved in caves and on open rock surfaces, are amongst our loveliest relics from prehistory. This pioneering set of sparkling essays goes beyond guesses as to what the pictures mean, instead exploring how we can reliably learn from rock-art as a material record of distant times: in short, rock-art as archaeology. Sometimes contact-period records offer some direct insight about indigenous meaning, so we can learn in that informed way. More often, we have no direct record, and instead have to use formal methods to learn from the evidence of the pictures themselves. The book's eighteen papers range wide in space and time, from the Palaeolithic of Europe to nineteenth-century Australia. Using varied approaches within the consistent framework of informed and proven methods, they make key advances in using the striking and reticent evidence of rock-art to archaeological benefit.

Engineers face numerous uncertainties in the design and development of products and processes. To deal with the uncertainties inherent in measured information, they make use of a variety of statistical techniques. This 1999 book presents single-variable statistical distributions that are useful in engineering design and analysis. It lists significant properties of these distributions and describes methods for estimating parameters and their standard errors, constructing confidence intervals, testing hypotheses, and plotting data. Figures are used extensively to clarify concepts. Methods are illustrated by numerous fully worked examples in the form of Mathcad documents that readers can use as templates for their own data, eliminating the need for programming. Intended as both a text and reference, the book assumes an elementary knowledge of calculus and probability. Graduate and advanced undergraduate students, as well as practising engineers and scientists, will be able to use this bo

Powerful techniques have been developed in recent years for the analysis of digital data, especially the manipulation of images. This book provides an in-depth introduction to a range of these innovative, avante-garde data-processing techniques. It develops the reader's understanding of each technique and then shows with practical examples how they can be applied to improve the skills of graduate students and researchers in astronomy, electrical engineering, physics, geophysics and medical imaging. What sets this book apart from others on the subject is the complementary blend of theory and practical application. Throughout, it is copiously illustrated with real-world examples from astronomy, electrical engineering, remote sensing and medicine. It also shows how many, more traditional, methods can be enhanced by incorporating the new wavelet and multiscale methods into the processing. For graduate students and researchers already experienced in image processing and data analysis, this

This book introduces the use of Lie algebra and differential geometry methods to study nonlinear integrable systems of Toda type. Many challenging problems in theoretical physics are related to the solution of nonlinear systems of partial differential equations. One of the most fruitful approaches in recent years has resulted from a merging of group algebraic and geometric techniques. The book gives a comprehensive introduction to this exciting branch of science. Chapters 1 and 2 review basic notions of Lie algebras and differential geometry with an emphasis on further applications to integrable nonlinear systems. Chapter 3 contains a derivation of Toda type systems and their general solutions based on Lie algebra and differential geometry methods. The last chapter examines explicit solutions of the corresponding equations. The book is written in an accessible 'lecture note' style with many examples and exercises to illustrate key points and to reinforce understanding.

State-space methods form the basis of modern control theory. This graduate text is devoted to a description of these methods in the analysis of linear multi-input, multi-output dynamic systems. Following a chapter which sets out the basic concepts and definitions, state equations of finite dimensional systems, and their solution, are discussed in detail. The principles of time-domain and frequency-domain analysis are then presented, as are the properties and applications of the Z-transformation. Separate chapters deal with the controllability, observability, and stability of linear systems. A useful tutorial review of the key results from matrix theory and linear algebra is given in the appendix. The book includes several worked examples, and there are problems at the end of each chapter. It will be of great use to advanced undergraduate and graduate students of electrical or mechanical engineering taking courses in linear systems or control systems.

State-space methods form the basis of modern control theory. This graduate text is devoted to a description of these methods in the analysis of linear multi-input, multi-output dynamic systems. Following a chapter which sets out the basic concepts and definitions, state equations of finite dimensional systems, and their solution, are discussed in detail. The principles of time-domain and frequency-domain analysis are then presented, as are the properties and applications of the Z-transformation. Separate chapters deal with the controllability, observability, and stability of linear systems. A useful tutorial review of the key results from matrix theory and linear algebra is given in the appendix. The book includes several worked examples, and there are problems at the end of each chapter. It will be of great use to advanced undergraduate and graduate students of electrical or mechanical engineering taking courses in linear systems or control systems.

This book provides students and research workers in the biological, medical and social sciences with the statistical background needed to collect and analyse data in an intelligent and critical manner. Key examples and case studies are used to illustrate commonly encountered research problems and to explain how they may be solved or even avoided altogether. Professor Manly also presents a clear understanding of the opportunities and limitations of different research designs, as well as an introduction to some new methods of analysis that are proving increasingly popular. Topics covered include the differences between observational and experimental studies; the design of sample surveys; multiple regression and its generalizations to log-linear and logistic models; experimental and quasi-experimental designs; interrupted time series; computer intensive methods of statistical inference; and the ethical considerations of research. In the final chapter, there is a useful discussion of how t

The use of geometric methods in classical mechanics has proven to be a fruitful exercise, with the results being of wide application to physics and engineering. Here Professor Marsden concentrates on these geometric aspects, and especially on symmetry techniques. The main points he covers are: the stability of relative equilibria, which is analyzed using the block diagonalization technique; geometric phases, studied using the reduction and reconstruction technique; and bifurcation of relative equilibria and chaos in mechanical systems. A unifying theme for these points is provided by reduction theory, the associated mechanical connection and techniques from dynamical systems. These methods can be applied to many control and stabilization situations, and this is illustrated using rigid bodies with internal rotors, and the use of geometric phases in mechanical systems. To illustrate the above ideas and the power of geometric arguments, the author studies a variety of specific systems, in

This introductory text presents the use of statistical methods as an integral part of biological investigation, yet one whose superficial complexities have deterred many biologists from using them. The author argues that the difficulties, such as they are, do not lie in mathematical manipulation, but in grasping a few simple, but unfamiliar concepts. He emphasizes the need for precisely defining problems and for careful selection of the most appropriate methods - a wide range of which are described and illustrated. Each chapter ends with a set of problems which are intended to help the student gain practical experience. No previous knowledge is assumed, and the student is encouraged to develop a competent and critical approach to analysing numerical data. In this second edition, the scope of the book has been extended, problems have been solved in a more satisfactory way, and a greater number of illustrative examples have been added.

Volume 1: From Brownian Motion to Renormalization and Lattice Gauge Theory. Volume 2: Strong Coupling, Monte Carlo Methods, Conformal Field Theory, and Random Systems. This two-volume work provides a comprehensive and timely survey of the application of the methods of quantum field theory to statistical physics, a very active and fruitful area of modern research. The first volume provides a pedagogical introduction to the subject, discussing Brownian motion, its anticommutative counterpart in the guise of Onsager's solution to the two-dimensional Ising model, the mean field or Landau approximation, scaling ideas exemplified by the Kosterlitz-Thouless theory for the XY transition, the continuous renormalization group applied to the standard phi-to the fourth theory (the simplest typical case) and lattice gauge theory as a pathway to the understanding of quark confinement in quantum chromodynamics. The second volume covers more diverse topics, including strong coupling expansions and the

Volume 1: From Brownian Motion to Renormalization and Lattice Gauge Theory. Volume 2: Strong Coupling, Monte Carlo Methods, Conformal Field Theory, and Random Systems. This two-volume work provides a comprehensive and timely survey of the application of the methods of quantum field theory to statistical physics, a very active and fruitful area of modern research. The first volume provides a pedagogical introduction to the subject, discussing Brownian motion, its anticommutative counterpart in the guise of Onsager's solution to the two-dimensional Ising model, the mean field or Landau approximation, scaling ideas exemplified by the Kosterlitz-Thouless theory for the XY transition, the continuous renormalization group applied to the standard phi-to the fourth theory (the simplest typical case) and lattice gauge theory as a pathway to the understanding of quark confinement in quantum chromodynamics. The second volume covers more diverse topics, including strong coupling expansions and the

This book provides an introduction to the methods employed in forecasting the future state of the economy. It provides a comprehensive coverage of methods and applications in this fast-growing area and is intended for use in postgraduate and upper-level undergraduate courses. Part I outlines the available techniques, particularly those used in business forecasting and econometric forecasting. The state of the art in time series modelling is reviewed and includes a discussion of Box-Jenkins models, the vector autogressive approach and cointegration. Ways of combining forecasts are also examined in detail. Part II considers the most important applications of forecasting. Applications in microeconomics include demand and sales forecasting, the use of anticipations data, leading indicators and scenario analysis. In macroeconomics the emphasis is on why errors occur in forecasting asset market prices, including implications of the efficient markets hypothesis for foreign markets, stock mark

This book reviews the phylogenetic data derived from molecular methods and from classical morphology, and analyses the contribution each can make to the study of evolution. Molecular biology and traditional areas of evolutionary biology such as morphology have not enjoyed a particularly happy marriage. Molecular biologists have the advantages of modernity, high technology, and visibility: their results often seem to represent the cutting edge of science, superseding and outmoding what went before. Nevertheless, this book shows that the partnership between those who study morphology and those who study molecules is alive and well: reconciliation is possible, necessary and inevitable because the problems involved in reconstructing the history of life do not change, whatever the source of the data. In eight chapters, leading exponents of molecular and morphological methods explore phylogeny, starting with hominoids, the most thoroughly studied group, then working outwards through the vert

The common denominator of a growing number of hard decisions facing modern societies is the need to determine 'how safe is safe enough?'. The authors begin by defining acceptable-risk problems and analysing why they are so difficult to resolve, considering such issues as uncertainty about their definition, lack of relevant facts, conflicting and conflicted social values, and disagreements between technical experts and the lay public. Drawing on their own experience in risk management as well as the relevant research literatures, they identify and characterise the variety of methods that have been proposed for resolving acceptable-risk problems. They subject these methods to a rigorous critique in terms of philosophical presuppositions, technical feasibility, political acceptability, and validity of underlying assumptions about human behaviour. The authors construct a framework for deciding how to make decisions about risks, and offer recommendations for research, public policy, and pra

Originally published in Italian in 1976, this book describes the methods scientists use to investigate the physical world. It is ideal for students and teachers of science and the philosophy of science. It is both a high-level popularization and a critical appraisal of these methods, describing important advances in physics and analyzing the historical development, value, reliability and philosophical implications of the way physicists approach the problems confronting them. The introductory chapter on the meaning of physical theories and the mathematical tools used to develop them is followed by a general discussion on the foundations of physics under four major headings: the physics of the reversible, the physics of the irreversible, microphysics, and cosmology. Throughout, the subject matter of physical theories is linked to discussion of the attendant philosophical and epistemological implications, such as the validity of the theories, inductive inference, causal explanation, proba

A major new professional reference work on fingerprint security systems and technology from leading international researchers in the field. Handbook provides authoritative and comprehensive coverage of all major topics, concepts, and methods for fingerprint security systems. This unique reference work is an absolutely essential resource for all biometric security professionals, researchers, and systems administrators.

The book aids planners in answering the following crucial questions： “Who are they?”, “What do they do?”, “Where do these activities occur?”, "How human activities are connected?”, "What are the economic effects?". In addition to detailed explanations of the selected methods, the book provides a context (scenario analysis) for applying them in performance assessment and impact analysis.

This book was first published in 1951 and was written by designers of polyphase commutator machines for students, and for engineers interested in their application. It is primarily a practical book; it describes the most important methods of control and the characteristics obtained. Theory is dealt with in separate sections, and may be omitted at will by some readers.

**本書為西文書**《傳染病的建模與動力學》由馬知恩等人編，《傳染病的建模與動力學》為精裝，共343頁。This book provides a systematic introduction to the fundamental methods and techniques and the frontiers of-along with many new ideas and results on

The History of Econometric Ideas covers the period from the late-nineteenth century to the middle of the twentieth century, illustrating how economists first learnt to harness statistical methods to measure and test the 'laws' of economics. Though scholarly, Dr Morgan's book is very accessible and does not require a high level of prior statistical knowledge.

Playing & Teaching the Saxophone: A Modern Approach provides a method for teaching the saxophone that is specific enough to use as a textbook in a collegiate saxophone methods class, simple enough for a band director to use in guiding their saxophone sections, clear enough for adult beginners to teach themselves the instrument, and deep enough for professionals to use as a resource in teaching private lessons at any level. The first sections of this book, Getting Started and Learning the Notes, take a student in a collegiate methods class or other adult beginner through the fundamental concepts of playing the saxophone. The In-Depth section then lays out critical concepts that are essential to the further development of any saxophonist. As a contemporary guide for teaching the musicians and music educators of the 21st century, this method addresses the pedagogy of not only the instrument, but of the whole student. It includes a diverse array of musical examples that celebrate communiti

Why did Egyptian cults, especially those dedicated to the goddess Isis and god Sarapis, spread so successfully across the ancient Mediterranean after the death of Alexander the Great? How are we limited by the established methodological apparatus of historiography and which innovative methods from other disciplines can overcome these limits? In this book, Tomáš Glomb shows that while the interplay of different factors such as the economy, climate, and politics created favorable conditions for the early spread of the Isiac cults, the use of innovative quantitative methods can shed new light and help disentangle the complex interplay of individual factors. Using a combination of geospatial modeling, mathematical modeling, and network analysis, Glomb determines that, at least in the regions of the Hellenistic Aegean and western Asia Minor, the political channels created by the Ptolemaic dynasty were a dominant force in the local spread of the Isiac cults. An important contribution to th

Water and Fire Survival Handbook Your Guide to Finding Safe Drinking Water and Creating Fire in Almost Any Survival Situation, from a New York Times Bestselling Author and Survival ExpertNew York Times bestselling author and survival school founder Tim MacWelch shows us how to find and provide safe drinking water in survival situations, and how to start a camp fire with a wide range of techniques and materials. In Water and Fire Survival Handbook, MacWelch illustrates and guides readers through the common supplies needed for gathering water and the knowledge necessary to know where to look to obtain water. Learn how to find, disinfect, avoid cross-contamination, and store water in a wide range of environments and survival situations, and also, learn how to get by with less than you might have imagined. And since water and fire are closely tied in survival, you'll also learn how to start a fire with modern methods (like matches and lighters) as well as ancient methods (such as friction

By 2025, an estimated 70 percent of the workforce will work remotely at least five days each month. In The Virtual Leader, Takako Hirata, an experienced leader of large international virtual teams, shares her proven methods for thriving in the remote workplace with the help of new leadership principles. Remote work is here to stay. As a result, remote leadership is now a core competency for most executives and managers. Leaders cannot simply transfer what they've been doing in the office to the remote context. While the goals remain the same--efficiency, engagement, community--the means of achieving those are very different. In The Virtual Leader, Takako Hirata shares the proven leadership methods she has developed over nearly a decade coordinating teams across the globe as the head of international business development at ROHTO Pharmaceutical. Hirata has seen firsthand that while the remote environment presents its own set of obstacles, the opportunities for innovation far outweigh th

Find Your Strength provides highly sensitive people with the tools they need to find emotional resilience and thrive in a difficult world.This elegantly designed workbook by psychotherapist April Snow, LMFT, offers you a series of exercises that will help you heal emotional trauma and harness the benefits of your empathetic talents.If you often feel overwhelmed, burned out, and overstimulated, you’re not alone. Some people are born highly sensitive to the emotions of others and to their surroundings, often to the point of distress. Being a highly sensitive person can be a source of great strength, however, if you learn simple methods to care for yourself and to enable yourself to thrive. With this workbook, you can find strength and healing as you:Explore and honor your emotional sensitivityCreate a lifestyle that supports your needsLearn how to navigate relationships and create healthy boundariesDiscover methods to help you thrive at workTurn your sensitive nature into a force for goo