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In today's data driven biology, programming knowledge is essential in turning ideas into testable hypothesis. Based on the author’s extensive experience, Python for Bioinformatics, Second Edition helps biologists get to grips with the basics of software development. Requiring no prior knowledge of programming-related concepts, the book focuses on the easy-to-use, yet powerful, Python computer language. This new edition is updated throughout to Python 3 and is designed not just to help scientists master the basics, but to do more in less time and in a reproducible way. New developments added in this edition include NoSQL databases, the Anaconda Python distribution, graphical libraries like Bokeh, and the use of Github for collaborative development.

Voice Rehabilitation: Testing Hypotheses and Reframing Therapy offersa patient-centered, hypothesis-driven framework for clinicians beginningto practice voice rehabilitation as well as practicing clinicians who continueto develop their skills. This valuable resource integrates motor learningtheory with the physiological underpinnings of voice production to make therehabilitation process more accessible and cohesive. Dialogues betweenthe patient and the clinician interwoven with the voice clinician’s internalmonologue provide insight into the active clinical reasoning process. A review of the etiologies and physiological changes associated with frequently diagnosed laryngeal pathologies provides a useful reference.FEATURES· Video clips featuring in-session demonstration and modification of procedures· Step-by-step description of voice exercise and rationales for their implementation· Special chapter devoted to the singer, transgender client, and patient who suffers from spasmodic dysphonia· Framework for group voice therapy· Counseling to address adherence, readiness for change, and generalization· Comprehensive discussion of risk factors for professional and customary voice users· Chapter Objectives, Review of Laryngeal Pathologies, Voice Evaluation ProtocolTEACHING TOOLS· Instructor’s Manual, featuring frameworks for class discussions; Case Studies; and Key Chapter Terms and ConceptsSTUDENT RESOURCESNavigate Companion Website*, including:· Interactive Learning Activities· Interactive Glossary· Videos*Each new copy of the text includes an access code to the Navigate Companion Website

There has always been some tension between proponents of hypothesis-driven and discovery-driven research in the broad field of life sciences. Academic research has been primarily focused on hypothesis-driven research. However, the success of the human genome project, a discovery-driven research approach, has opened the door to adding other types of discovery-driven research to a continuum of research approaches. In contrast, drug discovery research in the pharmaceutical industry has embraced discovery-driven research for many years. A good example has been the discovery of active compounds from large chemical libraries, through screening campaigns. The success of the human genome project has also demonstrated the need for both academic researchers and industrial researchers to now understand the functions of genes and gene products. The cell is the basic unit of life and it has been at the cellular level where function can be demonstrated most cost-effectively and rapidly. High content screening (HCS) was developed by Cellomics Inc. in the mid-1990s to address the need for a platform that could be used in the discovery-driven research and development required to understand the functions of genes and gene products at the level of the cell.

Mathematics is driven forward by the quest to solve a small number of major problems--the four most famous challenges being Fermat's Last Theorem, the Riemann Hypothesis, Poincaré's Conjecture, and the quest for the "Monster" of Symmetry. Now, in an exciting, fast-paced historical narrative ranging across two centuries, Mark Ronan takes us on an exhilarating tour of this final mathematical quest. Ronan describes how the quest to understand symmetry really began with the tragic young genius Evariste Galois, who died at the age of 20 in a duel. Galois, who spent the night before he died frantically scribbling his unpublished discoveries, used symmetry to understand algebraic equations, and he discovered that there were building blocks or "atoms of symmetry." Most of these building blocks fit into a table, rather like the periodic table of elements, but mathematicians have found 26 exceptions. The biggest of these was dubbed "the Monster"--a giant snowflake in 196,884 dimensions. Ronan, who personally knows the individuals now working on this problem, reveals how the Monster was only dimly seen at first. As more and more mathematicians became involved, the Monster became clearer, and it was found to be not monstrous but a beautiful form that pointed out deep connections between symmetry, string theory, and the very fabric and form of the universe. This story of discovery involves extraordinary characters, and Mark Ronan brings these people to life, vividly recreating the growing excitement of what became the biggest joint project ever in the field of mathematics. Vibrantly written, Symmetry and the Monster is a must-read for all fans of popular science--and especially readers of such books as Fermat's Last Theorem.

Anthropologists are increasingly pressurised to formulate field methods for teaching. Unlike many hypothesis-driven ethnographic texts, this book is designed with the specific needs of the anthropology student and field researcher in mind, with particular emphasis on the core anthropological method: long term participant observation. Anthropological Practice explores fieldwork experiences unique to anthropology, and provides the context by which to explain and develop practice-based and open-ended methodology. It draws on dialogues with over twenty established and younger anthropologists, whose fieldwork spans the late 1960s to the present day, taking place in locations as diverse as Europe, India, Malaysia, Indonesia, Africa, Iran, Afghanistan, North and South America.Revealing first-hand and hitherto unrecorded aspects of fieldwork, Anthropological Practice provides critical, systematic ways to enhance anthropological and alternative knowledge. It is an essential text for anthropology students and researchers, and for all disciplines concerned with ethnography.Interviewees include: Paul Clough, Roy Gigengack, Louise de la Gorgendière, Suzette Heald, Michael Herzfeld, Signe Howell, Felicia Hughes-Freeland, Ignacy Marek Kaminski, Margaret Kenna, Raquel Alonso Lopez, Malcolm Mcleod, Brian Morris, Hélène Neveu Kringelbach, Akira Okazaki, Joanna Overing, Jonathan Parry, Carol Silverman, Mohammad Talib, Nancy Lindisfarne-Tapper, Sue Wright, Helena Wulff, Joseba Zulaika.

Anthropologists are increasingly pressurised to formulate field methods for teaching. Unlike many hypothesis-driven ethnographic texts, this book is designed with the specific needs of the anthropology student and field researcher in mind, with particular emphasis on the core anthropological method: long term participant observation. Anthropological Practice explores fieldwork experiences unique to anthropology, and provides the context by which to explain and develop practice-based and open-ended methodology. It draws on dialogues with over twenty established and younger anthropologists, whose fieldwork spans the late 1960s to the present day, taking place in locations as diverse as Europe, India, Malaysia, Indonesia, Africa, Iran, Afghanistan, North and South America.Revealing first-hand and hitherto unrecorded aspects of fieldwork, Anthropological Practice provides critical, systematic ways to enhance anthropological and alternative knowledge. It is an essential text for anthropology students and researchers, and for all disciplines concerned with ethnography.Interviewees include: Paul Clough, Roy Gigengack, Louise de la Gorgendière, Suzette Heald, Michael Herzfeld, Signe Howell, Felicia Hughes-Freeland, Ignacy Marek Kaminski, Margaret Kenna, Raquel Alonso Lopez, Malcolm Mcleod, Brian Morris, Hélène Neveu Kringelbach, Akira Okazaki, Joanna Overing, Jonathan Parry, Carol Silverman, Mohammad Talib, Nancy Lindisfarne-Tapper, Sue Wright, Helena Wulff, Joseba Zulaika.

Voice Rehabilitation: Testing Hypotheses and Reframing Therapy offersa patient-centered, hypothesis-driven framework for clinicians beginningto practice voice rehabilitation as well as practicing clinicians who continueto develop their skills. This valuable resource integrates motor learningtheory with the physiological underpinnings of voice production to make therehabilitation process more accessible and cohesive. Dialogues betweenthe patient and the clinician interwoven with the voice clinician’s internalmonologue provide insight into the active clinical reasoning process. A review of the etiologies and physiological changes associated with frequently diagnosed laryngeal pathologies provides a useful reference.FEATURES· Video clips featuring in-session demonstration and modification of procedures· Step-by-step description of voice exercise and rationales for their implementation· Special chapter devoted to the singer, transgender client, and patient who suffers from spasmodic dysphonia· Framework for group voice therapy· Counseling to address adherence, readiness for change, and generalization· Comprehensive discussion of risk factors for professional and customary voice users· Chapter Objectives, Review of Laryngeal Pathologies, Voice Evaluation ProtocolTEACHING TOOLS· Instructor’s Manual, featuring frameworks for class discussions; Case Studies; and Key Chapter Terms and ConceptsSTUDENT RESOURCESNavigate Companion Website*, including:· Interactive Learning Activities· Interactive Glossary· Videos*Each new copy of the text includes an access code to the Navigate Companion Website

Mathematics is driven forward by the quest to solve a small number of major problems--the four most famous challenges being Fermat's Last Theorem, the Riemann Hypothesis, Poincaré's Conjecture, and the quest for the "Monster" of Symmetry. Now, in an exciting, fast-paced historical narrative ranging across two centuries, Mark Ronan takes us on an exhilarating tour of this final mathematical quest. Ronan describes how the quest to understand symmetry really began with the tragic young genius Evariste Galois, who died at the age of 20 in a duel. Galois, who spent the night before he died frantically scribbling his unpublished discoveries, used symmetry to understand algebraic equations, and he discovered that there were building blocks or "atoms of symmetry." Most of these building blocks fit into a table, rather like the periodic table of elements, but mathematicians have found 26 exceptions. The biggest of these was dubbed "the Monster"--a giant snowflake in 196,884 dimensions. Ronan, who personally knows the individuals now working on this problem, reveals how the Monster was only dimly seen at first. As more and more mathematicians became involved, the Monster became clearer, and it was found to be not monstrous but a beautiful form that pointed out deep connections between symmetry, string theory, and the very fabric and form of the universe. This story of discovery involves extraordinary characters, and Mark Ronan brings these people to life, vividly recreating the growing excitement of what became the biggest joint project ever in the field of mathematics. Vibrantly written, Symmetry and the Monster is a must-read for all fans of popular science--and especially readers of such books as Fermat's Last Theorem.

In today's data driven biology, programming knowledge is essential in turning ideas into testable hypothesis. Based on the author’s extensive experience, Python for Bioinformatics, Second Edition helps biologists get to grips with the basics of software development. Requiring no prior knowledge of programming-related concepts, the book focuses on the easy-to-use, yet powerful, Python computer language. This new edition is updated throughout to Python 3 and is designed not just to help scientists master the basics, but to do more in less time and in a reproducible way. New developments added in this edition include NoSQL databases, the Anaconda Python distribution, graphical libraries like Bokeh, and the use of Github for collaborative development.

Cellular and Molecular Neurophysiology, Fourth Edition, is the only up-to-date textbook on the market that focuses on the molecular and cellular physiology of neurons and synapses. Hypothesis-driven rather than a dry presentation of the facts, the book promotes a real understanding of the function of nerve cells that is useful for practicing neurophysiologists and students in a graduate-level course on the topic alike. This new edition explains the molecular properties and functions of excitable cells in detail and teaches students how to construct and conduct intelligent research experiments. The content is firmly based on numerous experiments performed by top experts in the field This book will be a useful resource for neurophysiologists, neurobiologists, neurologists, and students taking graduate-level courses on neurophysiology. 70% new or updated material in full color throughout, with more than 350 carefully selected and constructed illustrationsFifteen appendices describing neurobiological techniques are interspersed in the text

How do I create a good research hypothesis? How do I know when my literature review is finished? What is the difference between a sample and a population? What is power and why is it important?In an increasingly data-driven world, it is more important than ever for students as well as professionals to better understand the process of research. This invaluable guide answers the essential questions that students ask about research methods in a concise and accessible way.

Cellular and Molecular Neurophysiology, Fourth Edition, is the only up-to-date textbook on the market that focuses on the molecular and cellular physiology of neurons and synapses. Hypothesis-driven rather than a dry presentation of the facts, the book promotes a real understanding of the function of nerve cells that is useful for practicing neurophysiologists and students in a graduate-level course on the topic alike. This new edition explains the molecular properties and functions of excitable cells in detail and teaches students how to construct and conduct intelligent research experiments. The content is firmly based on numerous experiments performed by top experts in the field This book will be a useful resource for neurophysiologists, neurobiologists, neurologists, and students taking graduate-level courses on neurophysiology. 70% new or updated material in full color throughout, with more than 350 carefully selected and constructed illustrationsFifteen appendices describing neurobiological techniques are interspersed in the text

There has always been some tension between proponents of hypothesis-driven and discovery-driven research in the broad field of life sciences. Academic research has been primarily focused on hypothesis-driven research. However, the success of the human genome project, a discovery-driven research approach, has opened the door to adding other types of discovery-driven research to a continuum of research approaches. In contrast, drug discovery research in the pharmaceutical industry has embraced discovery-driven research for many years. A good example has been the discovery of active compounds from large chemical libraries, through screening campaigns. The success of the human genome project has also demonstrated the need for both academic researchers and industrial researchers to now understand the functions of genes and gene products. The cell is the basic unit of life and it has been at the cellular level where function can be demonstrated most cost-effectively and rapidly. High content screening (HCS) was developed by Cellomics Inc. in the mid-1990s to address the need for a platform that could be used in the discovery-driven research and development required to understand the functions of genes and gene products at the level of the cell.

How do I create a good research hypothesis? How do I know when my literature review is finished? What is the difference between a sample and a population? What is power and why is it important?In an increasingly data-driven world, it is more important than ever for students as well as professionals to better understand the process of research. This invaluable guide answers the essential questions that students ask about research methods in a concise and accessible way.

Shows how price-driven volatility explains many of the mysteries associated with stock price behavior. Covers the excess volatility problem of Shiller; the equity premium puzzle of Mehra and Prescot; the private information hypothesis of French and Roll; and shows why professionals have a difficult time beating the market. Portfolio Managers, Brokers, and Investment Bankers.