Workplace and professional learning, lifelong learning, adult learning, learning in different contexts have become of more and more interest and now dominate all aspects of 21st century life. Learning is no longer about ‘storing and recall’ but ‘development and flow’. Theories of Learning in the Workplace offers fascinating overviews into some of the most important theories of learning and how they are practically applied to organisational or workplace learning. With each chapter co-authored by an academic researcher and an expert in business or industry, this unique book provides practical case studies combined with thorough analysis of theories and models of learning. Key figures in education, psychology and cognitive science present a comprehensive range of conceptual perspectives on learning theory, offering a wealth of new insights to support innovative research directions. Containing overviews of theories from Schön, Argyris, Senge, Engeström, Billet, Ericsson, Kolb, Boud and Mezirow, this book discusses: adult learning; workplace learning; informal learning; reflective practice; experiential learning; deliberate practice; organisational and inter-organisational expansive learning. Combining theory and practice, this book will be essential reading for all trainee and practicing educational psychologists, organisational psychologists, researchers and students in the field of lifelong learning, educational policy makers, students, researchers and teachers in vocational and higher education.
This book is an expansion and major updating of the highly successful Theories of Learning for the Workplace, first published in 2011. It offers fascinating overviews into some of the most important theories of learning and how they are practically applied to organisational or workplace learning. Each chapter is co-authored by an academic researcher and an expert in business or industry, providing practical case studies combined with a thorough analysis of theories and models of learning. Key figures in education, psychology, and cognitive science present a comprehensive range of conceptual perspectives on learning theory, offering a wealth of new insights to support innovative research directions and innovation in learning, training, and teaching for the upcoming post-Covid-19 decades. Containing overviews of theories from Argyris, Decuyper, Dochy & Segers, Engeström, Ericsson, Kolb, Lave & Wenger, Mezirow, Raes & Boon, Schön, Senge, and Van den Bossche, this book discusses: Learning of employees in the digital era Workplace learning High impact learning Informal learning Adult learning Learning & development didactics (L&D) Reflective practice Transformational learning Experiential learning Deliberate practice Communities of practice Team learning Organisational learning Expansive learning Combining theory and practice, this book will be essential reading for all trainee and practising educational psychologists, organisational psychologists, researchers, and students in the field of lifelong learning, educational policy makers, students, researchers, and teachers in vocational and higher education. It will also be of interest to those involved in training trainers and teacher training.
This book provides a comprehensive, up-to-date look at problem solving research and practice over the last fifteen years. The first chapter describes differences in types of problems, individual differences among problem-solvers, as well as the domain and context within which a problem is being solved. Part one describes six kinds of problems and the methods required to solve them. Part two goes beyond traditional discussions of case design and introduces six different purposes or functions of cases, the building blocks of problem-solving learning environments. It also describes methods for constructing cases to support problem solving. Part three introduces a number of cognitive skills required for studying cases and solving problems. Finally, Part four describes several methods for assessing problem solving. Key features includes: Teaching Focus – The book is not merely a review of research. It also provides specific research-based advice on how to design problem-solving learning environments. Illustrative Cases – A rich array of cases illustrates how to build problem-solving learning environments. Part two introduces six different functions of cases and also describes the parameters of a case. Chapter Integration – Key theories and concepts are addressed across chapters and links to other chapters are made explicit. The idea is to show how different kinds of problems, cases, skills, and assessments are integrated. Author expertise – A prolific researcher and writer, the author has been researching and publishing books and articles on learning to solve problems for the past fifteen years. This book is appropriate for advanced courses in instructional design and technology, science education, applied cognitive psychology, thinking and reasoning, and educational psychology. Instructional designers, especially those involved in designing problem-based learning, as well as curriculum designers who seek new ways of structuring curriculum will find it an invaluable reference tool.
This volume describes recent research in the field of metalloproteinases (a family of enzymes that can catalyze tissue degradation), in particular their participation in autoimmune diseases such as rheumatoid arthritis, reviewing the latest developments in metalloproteinase inhibitor design and the current status of clinical candidates. This volume is intended not only for those active in research into metalloproteinases but also for those with an interest in inflammatory diseases. Thus it addresses both academic and industrial researchers.
This festschrift includes papers authored by many collaborators, colleagues, and students of Professor Thomas P Hettmansperger, who worked in research in nonparametric statistics, rank statistics, robustness, and mixture models during a career that spanned nearly 40 years. It is a broad sample of peer-reviewed, cutting-edge research related to nonparametrics and mixture models.
Explains why modern supercritical fluid chromatography (SFC) is the leading "green" analytical and purification separations technology. Modern supercritical fluid chromatography (SFC) is the leading method used to analyze and purify chiral and achiral chemical compounds, many of which are pharmaceuticals, pharmaceutical candidates, and natural products including cannabis-related compounds. This book covers current SFC instrumentation as it relates to greater robustness, better reproducibility, and increased analytical sensitivity. Modern Supercritical Fluid Chromatography: Carbon Dioxide Containing Mobile Phases covers the history, instrumentation, method development and applications of SFC. The authors provided readers with an overview of analytical and preparative SFC equipment, stationary phases, and mobile phase choices. Topics covered include: Milestones of Supercritical Fluid Chromatography; Physical Properties of Supercritical Fluids; Instrumentation for SFC; Detection in SFC; Achiral SFC Method Development; Chiral SFC Method Development; and Preparative Scale SFC. The book also includes highlights of modern applications of SFC in the final chapters—namely pharmaceuticals, consumer products, foods, polymers, petroleum-related mixtures, and cannabis—and discusses the future of SFC. Provides a clear explanation of the physical and chemical properties of supercritical fluids, which gives the reader a better understanding of the basis for improved performance in SFC compared to HPLC and GC Describes the advantages of SFC as a green alternative to HPLC and GC for the analysis of both polar, water-soluble, and non-polar analytes Details both achiral and chiral SFC method development, including modifiers, additives, the impact of temperature and pressure, and stationary phase choices Details why SFC is the premier modern preparative chromatographic technique used to purify components of mixtures for subsequent uses, both from performance and economic perspectives Covers numerous detectors, with an emphasis on SFC-MS, SFC-UV, and SFC-ELSD (evaporative light scattering detection) Describes the application of SFC to numerous high-value application areas Modern Supercritical Fluid Chromatography: Carbon Dioxide Containing Mobile Phases will be of great interest to professionals, students, and professors involved in analytical, bioanalytical, separations science, medicinal, petroleum, and environmental chemistries. It will also appeal to pharmaceutical scientists, natural-product scientists, food and consumer-products scientists, chemical engineers, and managers in these areas.
It's been over a decade since the first edition of Measurement Error in Nonlinear Models splashed onto the scene, and research in the field has certainly not cooled in the interim. In fact, quite the opposite has occurred. As a result, Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition has been revamped and ex
Starting from fundamentals and moving through a thorough discussion of equipment, methods, and techniques, this text provides a unique reference source for this important new analysis method. The authors use a combination of tutorial discussions ranging from basic principles up to more advanced descriptions along with extensive figures and photographs to clearly explain topics addressed in the text. It is intended that the data tables will be located within the Education section of SpectroscopyNOW.com Provides a thorough but understandable discussion of the basic principles, instrumentation, methodology, and sampling procedures of the method based on atomic emission spectroscopy. Presents a discussion of the many advantages of the method along with limitations, to provide the reader a balanced overview of capabilities of the method Presents an overview of some real-world applications of the method Provides an up-to-date list of references to LIBS literature and a unique list of element detection limits using a uniform analysis method
Bei der Regressionsanalyse von Datenmaterial erhält man leider selten lineare oder andere einfache Zusammenhänge (parametrische Modelle). Dieses Buch hilft Ihnen, auch komplexere, nichtparametrische Modelle zu verstehen und zu beherrschen. Stärken und Schwächen jedes einzelnen Modells werden durch die Anwendung auf Standarddatensätze demonstriert. Verbreitete nichtparametrische Modelle werden mit Hilfe von Bayes-Verfahren in einen kohärenten wahrscheinlichkeitstheoretischen Zusammenhang gebracht.
This would be an excellent book for undergraduate, graduate and beyond....The style of writing is easy to read and the author does a good job of adding humor in places. The integration of basic programming in R with the data that is collected for any experiment provides a powerful platform for analysis of data.... having the understanding of data analysis that this book offers will really help researchers examine their data and consider its value from multiple perspectives – and this applies to people who have small AND large data sets alike! This book also helps people use a free and basic software system for processing and plotting simple to complex functions." Michelle Pantoya, Texas Tech University Measurements of quantities that vary in a continuous fashion, e.g., the pressure of a gas, cannot be measured exactly and there will always be some uncertainty with these measured values, so it is vital for researchers to be able to quantify this data. Uncertainty Analysis of Experimental Data with R covers methods for evaluation of uncertainties in experimental data, as well as predictions made using these data, with implementation in R. The books discusses both basic and more complex methods including linear regression, nonlinear regression, and kernel smoothing curve fits, as well as Taylor Series, Monte Carlo and Bayesian approaches. Features: 1. Extensive use of modern open source software (R). 2. Many code examples are provided. 3. The uncertainty analyses conform to accepted professional standards (ASME). 4. The book is self-contained and includes all necessary material including chapters on statistics and programming in R. Benjamin D. Shaw is a professor in the Mechanical and Aerospace Engineering Department at the University of California, Davis. His research interests are primarily in experimental and theoretical aspects of combustion. Along with other courses, he has taught undergraduate and graduate courses on engineering experimentation and uncertainty analysis. He has published widely in archival journals and became an ASME Fellow in 2003.
In Powerful Learning, Linda Darling-Hammond and an impressive list of co-authors offer a clear, comprehensive, and engaging exploration of the most effective classroom practices. They review, in practical terms, teaching strategies that generate meaningful K–2 student understanding, and occur both within the classroom walls and beyond. The book includes rich stories, as well as online videos of innovative classrooms and schools, that show how students who are taught well are able to think critically, employ flexible problem-solving, and apply learned skills and knowledge to new situations.
This book explores the links between self-harm and suicide and presents international approaches to training in suicide prevention for professionals. It debates the legality and morality of assisted self-harm and analyse the rate and causes of suicide among specific groups, people in custody and people with mental illnesses.
This book emphasizes the applications of statistics and probability to finance. The basics of these subjects are reviewed and more advanced topics in statistics, such as regression, ARMA and GARCH models, the bootstrap, and nonparametric regression using splines, are introduced as needed. The book covers the classical methods of finance and it introduces the newer area of behavioral finance. Applications and use of MATLAB and SAS software are stressed. The book will serve as a text in courses aimed at advanced undergraduates and masters students. Those in the finance industry can use it for self-study.
Written by established experts in the field, this book features in-depth discussions of proven scientific principles, current trends, and applications of nuclear chemistry to the sciences and engineering. • Provides up-to-date coverage of the latest research and examines the theoretical and practical aspects of nuclear and radiochemistry • Presents the basic physical principles of nuclear and radiochemistry in a succinct fashion, requiring no basic knowledge of quantum mechanics • Adds discussion of math tools and simulations to demonstrate various phenomena, new chapters on Nuclear Medicine, Nuclear Forensics and Particle Physics, and updates to all other chapters • Includes additional in-chapter sample problems with solutions to help students • Reviews of 1st edition: "... an authoritative, comprehensive but succinct, state-of-the-art textbook ...." (The Chemical Educator) and "...an excellent resource for libraries and laboratories supporting programs requiring familiarity with nuclear processes ..." (CHOICE)
The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative information, particularly about volatility and risks, are essential. Strengths of this fully-revised edition include major additions to the R code and the advanced topics covered. Individual chapters cover, among other topics, multivariate distributions, copulas, Bayesian computations, risk management, and cointegration. Suggested prerequisites are basic knowledge of statistics and probability, matrices and linear algebra, and calculus. There is an appendix on probability, statistics and linear algebra. Practicing financial engineers will also find this book of interest.
Almost 80 years on the battle for the Arnhem Rhine crossing remains controversial. Opinion on its justification and success differs widely. This superbly researched book, written by two acknowledged experts, takes a wide-ranging examination of Operation Market Garden from the strategic, operational and tactical level. The role of the Allied commanders involved is scrutinized with surprising results. For example, US General Brereton’s pivotal role has seldom been mentioned, yet he is revealed as responsible for choosing landing and drop zones. The record of airborne forces, both German and Allied, prior to September 1944 raises questions and the doubt that many senior commanders, including Eisenhower, had as to their effectiveness is highlighted. The parts played by VIII and XII Corps of Second Army and General Dempsey, its Commander are scrutinized, as are the actions of local commanders and troops on the ground. Both those with a deep interest in military history and the layman will find much to inform and satisfy them in this valuable and at times provocative account.
Semiparametric regression is concerned with the flexible incorporation of non-linear functional relationships in regression analyses. Any application area that benefits from regression analysis can also benefit from semiparametric regression. Assuming only a basic familiarity with ordinary parametric regression, this user-friendly book explains the techniques and benefits of semiparametric regression in a concise and modular fashion. The authors make liberal use of graphics and examples plus case studies taken from environmental, financial, and other applications. They include practical advice on implementation and pointers to relevant software. The 2003 book is suitable as a textbook for students with little background in regression as well as a reference book for statistically oriented scientists such as biostatisticians, econometricians, quantitative social scientists, epidemiologists, with a good working knowledge of regression and the desire to begin using more flexible semiparametric models. Even experts on semiparametric regression should find something new here.
Die Atomabsorptionsspektroskopie mit Graphitrohrküvetten wird vor allem in der Material- und Umweltwissenschaft zur Untersuchung von Legierungen, Keramiken, Polymeren, Kompositwerkstoffen und Abwässern eingesetzt. Dieses umfangreiche Handbuch enthält viele praktische Beispiele, Tips und Tricks sowie Angaben zur instrumentellen Ausrüstung, zu modernen Entwicklungen und zur Fehlersuche: Eine wahre Fundgrube für den Praktiker, jedoch auch für Einsteiger geeignet - mit verschiedenen Anhängen, historischen Hintergrundinformationen, Literaturverzeichnissen und einem Glossar der verwendeten Fachterminologie. (06/98)
This book traces the prehistory and initial development of wavelet theory, a discipline that has had a profound impact on mathematics, physics, and engineering. Interchanges between these fields during the last fifteen years have led to a number of advances in applications such as image compression, turbulence, machine vision, radar, and earthquake prediction. This book contains the seminal papers that presented the ideas from which wavelet theory evolved, as well as those major papers that developed the theory into its current form. These papers originated in a variety of journals from different disciplines, making it difficult for the researcher to obtain a complete view of wavelet theory and its origins. Additionally, some of the most significant papers have heretofore been available only in French or German. Heil and Walnut bring together these documents in a book that allows researchers a complete view of wavelet theory's origins and development.
Assessment in higher education is an area of intense current interest, not least due to its central role in student learning processes. Excellence in University Assessment is a pioneering text which contributes to the theory and practice of assessment through detailed discussion and analysis of award-winning teaching across multiple disciplines. It provides inspiration and strategies for higher education practitioners to improve their understanding and practice of assessment. The book uses an innovative model of learning-oriented assessment to analyze the practice of university teachers who have been recipients of teaching awards for excellence. It critically scrutinizes their methods in context in order to develop key insights into effective teaching, learning and assessment processes. Pivotal topics include: Competing priorities in assessment and ways of tackling them; The nature of quality assessment task design; The student experience of assessment; Promoting student engagement with feedback. An indispensable contribution to assessment in higher education, Excellence in University Assessment is a valuable guide for university leaders, middle managers, staff developers, teachers and researchers interested in the crucial topic of assessment.
Nonlinear measurement data arise in a wide variety of biological and biomedical applications, such as longitudinal clinical trials, studies of drug kinetics and growth, and the analysis of assay and laboratory data. Nonlinear Models for Repeated Measurement Data provides the first unified development of methods and models for data of this type, with a detailed treatment of inference for the nonlinear mixed effects and its extensions. A particular strength of the book is the inclusion of several detailed case studies from the areas of population pharmacokinetics and pharmacodynamics, immunoassay and bioassay development and the analysis of growth curves.
Sample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely used likelihood methods. The methods used to select samples often result in the sample differing in important ways from the target population and standard application of likelihood methods can lead to biased and inefficient estimates. Maximum Likelihood Estimation for Sample Surveys presents an overview of likelihood methods for the analysis of sample survey data that account for the selection methods used, and includes all necessary background material on likelihood inference. It covers a range of data types, including multilevel data, and is illustrated by many worked examples using tractable and widely used models. It also discusses more advanced topics, such as combining data, non-response, and informative sampling. The book presents and develops a likelihood approach for fitting models to sample survey data. It explores and explains how the approach works in tractable though widely used models for which we can make considerable analytic progress. For less tractable models numerical methods are ultimately needed to compute the score and information functions and to compute the maximum likelihood estimates of the model parameters. For these models, the book shows what has to be done conceptually to develop analyses to the point that numerical methods can be applied. Designed for statisticians who are interested in the general theory of statistics, Maximum Likelihood Estimation for Sample Surveys is also aimed at statisticians focused on fitting models to sample survey data, as well as researchers who study relationships among variables and whose sources of data include surveys.
Philosophy of Education in Action: An Inquiry-Based Approach (Second Edition) is an innovative introductory text that invites readers to explore philosophy of education through the lens of their own observations and experiences. Using the Wonder Model of Inquiry, readers investigate the purposes of education, how schools are designed to fulfill those purposes, and the influence of philosophy on educational practices. Grounded in authentic classroom vignettes and supported by examples from actual schools and educational programs, readers think critically and creatively about philosophical issues. Probing questions analyze the curriculum, examine pedagogy, conceptualize the role of the teacher and student in the learning process, and explore the role of school organization and design. Readers are guided to reflect upon their own practices and articulate their own philosophical beliefs. Readers also imagine and design a hypothetical school using project-based methods to interpret, synthesize, and evaluate different educational philosophies. The Continuum of Educational Philosophy locates practices in relation to philosophical perspectives. The Second Edition includes updated sources and examples of schools and programs that represent different philosophical perspectives. In addition to applying the "3Cs" criteria of evaluation, two new chapters highlight voices that respond to and challenge different educational philosophies. The final chapter adds guidance on how to construct and compose a personal philosophy of education statement.
Modern Electronic Structure Theory provides a didactically oriented description of the latest computational techniques in electronic structure theory and their impact in several areas of chemistry. The book is aimed at first year graduate students or college seniors considering graduate study in computational chemistry, or researchers who wish to acquire a wider knowledge of this field.
The Handbook of Nutrition in Ophthalmology is the first general text on nutrition and eye health created for physicians, nutritionists, and researchers. The author provides important links between the epidemic of obesity and implications it has for eye disease and blindness. The volume also includes chapters addressing nutritional aspects of preventing eye disease in diabetes mellitus and other optical neuropathies, making this a unique book.
Concise and portable, Braddom's Clinical Handbook of Physical Medicine and Rehabilitation, by Drs. David X. Cifu and Henry L. Lew, gives you dependable, up-to-date content in a handbook format ideally suited for use at the bedside or in outpatient clinics. This quick reference covers the everyday topics you need – assistive devices and orthoses, spasticity, pediatric, adult, and geriatric care, pain management, outcome measures, and much more – all derived from the most trusted name in the field of PM&R. - Reader-friendly format with succinct, templated chapters for ease of use. - Authoritative content derived from the #1 comprehensive reference in the field: Braddom's Physical Medicine and Rehabilitation. - An ideal resource for the entire rehabilitation team as a quick reference or study guide. - Highlights key concepts spanning the full spectrum of rehabilitation medicine to help optimize outcomes for patients with a range of chronic diseases, impairments, and disabilities. - Includes eSlides complied by internationally renowned experts to summarize key teaching points and clinical pearls.
Since ROC curves have become ubiquitous in many application areas, the various advances have been scattered across disparate articles and texts. ROC Curves for Continuous Data is the first book solely devoted to the subject, bringing together all the relevant material to provide a clear understanding of how to analyze ROC curves.The fundamenta
This book explores the alleged uniqueness of the European experience, and investigates its ties to a long history of LGBT and queer movements in the region. These movements, the book argues, were inspired by specific ideas about Europe, which they sought to realize on the ground through activism.
Success in scientific and engineering research depends on effective writing and presentation. The purpose of this guide is to help the reader achieve that goal. It enables students and researchers to write and present material to a professional modern standard, efficiently and painlessly, and with maximum impact. The approach is not prescriptive. Rather, the emphasis is on a logical approach to communication, informed by what needs to be achieved, what works in practice, and what interferes with success. Over 400 examples of good and bad writing and graphing are presented. Each is from a published research article and is accompanied by analysis, comment, and correction where needed. Journal reviewers' critiques of submitted manuscripts are included to illustrate common pitfalls. Above all, this is a "how-to" book, comprehensive but concise, suitable for continuous study or quick reference. Checklists at the end of each chapter enable the reader to test the readiness of a dissertation, journal submission, or conference presentation for assessment or review. Although oriented towards engineering and the physical and life sciences, it is also relevant to other areas, including behavioural and clinical sciences and medicine.
The first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics. The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been addressed independently by different disciplines. This is the first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics. The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor. The second section, data mining algorithms, shows how algorithms are constructed to solve specific problems in a principled manner. The algorithms covered include trees and rules for classification and regression, association rules, belief networks, classical statistical models, nonlinear models such as neural networks, and local "memory-based" models. The third section shows how all of the preceding analysis fits together when applied to real-world data mining problems. Topics include the role of metadata, how to handle missing data, and data preprocessing.
Thoroughly updated to reflect the latest advances and technologies, Braddom's Physical Medicine and Rehabilitation, 6th Edition, remains the market leader in the field of PM&R. For more than 20 years, this bestselling reference has been the go-to resource for the entire rehabilitation team, providing in-depth coverage of essential core principles along with the latest research, technologies, and procedures that enhance patient care and facilitate optimal return to function. In this edition, lead editor Dr. David X. Cifu and his team of expert associate editors and contributing authors employ a more succinct format that emphasizes need-to-know material, incorporating new key summary features, including high-yield information and study sheets for problem-based learning. - Focuses more heavily on rehabilitation, with case studies throughout and more comprehensive coverage of stroke evaluation, rehabilitation, and therapies. - Provides expanded information on key topics such as interventional pain management options, gait and prosthetics, USG, fluoroscopy, electrodiagnosis and more. - Features a new chapter on Occupational Medicine and Vocational Rehabilitation, plus enhanced coverage of the neurogenic bladder, rehabilitation and prosthetic restoration in upper limb amputation, and acute medical conditions including cardiac disease, medical frailty, and renal failure. - Discusses quality and outcome measures for medical rehabilitation, practical aspects of impairment rating and disability determination, integrative medicine in rehabilitation, and assistive technology. - Offers highly illustrated, templated chapters that are easy to navigate without sacrificing coverage of key topics. - Includes access to dozens of even more practical videos and hundreds of integrated self-assessment questions for more effective learning and retention. - Enhanced eBook version included with purchase. Your enhanced eBook allows you to access all of the text, figures, and references from the book on a variety of devices.
Inorganic Geochemistry of Coal explains how to determine the concentrations and modes of occurrence of elements in coal, how to diminish adverse effects of toxic elements on the environment and human health, which elements in coal could be industrially utilized, and which elements can be successfully used as indications for deciphering depositional environments and tectonic evolution. As coal use will remain at an all-time high for the next several decades, there is a critical need for understanding the properties of this fuel to ensure efficient use, encourage its economic by-product potential, and to help minimize its negative technological, environmental and health impacts. - Features dozens of never-before published illustrations of critical features of the inorganic geochemistry of coal - Covers both the theory and applications of the topic, including case studies to serve as real-world examples - Includes a chapter on the health and environmental impacts of the mining, development and use of coal
Comprehensive and complete, Shackelford’s Surgery of the Alimentary Tract delivers the definitive, clinically oriented, cutting-edge guidance you need to achieve optimal outcomes managing the entire spectrum of gastrointestinal disorders. Make effective use of the latest endoscopic, robotic, and minimally invasive procedures as well as medical therapies with unbeatable advice from a "who’s who" of international authorities! Find expert answers to any clinical question in gastrointestinal surgery, from the esophagus to the colon. See exactly what to look for and how to proceed from an abundance of beautifully detailed intraoperative and laparoscopic photographs.
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