Recent years have witnessed an explosion in the volume and variety of data collected in all scientific disciplines and industrial settings. Such massive data sets present a number of challenges to researchers in statistics and machine learning. This book provides a self-contained introduction to the area of high-dimensional statistics, aimed at the first-year graduate level. It includes chapters that are focused on core methodology and theory - including tail bounds, concentration inequalities, uniform laws and empirical process, and random matrices - as well as chapters devoted to in-depth exploration of particular model classes - including sparse linear models, matrix models with rank constraints, graphical models, and various types of non-parametric models. With hundreds of worked examples and exercises, this text is intended both for courses and for self-study by graduate students and researchers in statistics, machine learning, and related fields who must understand, apply, and adapt modern statistical methods suited to large-scale data.

Advanced R helps you understand how R works at a fundamental level. It is designed for R programmers who want to deepen their understanding of the language, and programmers experienced in other languages who want to understand what makes R different and special. This book will teach you the foundations of R; three fundamental programming paradigms (functional, object-oriented, and metaprogramming); and powerful techniques for debugging and optimising your code. By reading this book, you will learn: The difference between an object and its name, and why the distinction is important The important vector data structures, how they fit together, and how you can pull them apart using subsetting The fine details of functions and environments The condition system, which powers messages, warnings, and errors The powerful functional programming paradigm, which can replace many for loops The three most important OO systems: S3, S4, and R6 The tidy eval toolkit for metaprogramming, which allows you to manipulate code and control evaluation Effective debugging techniques that you can deploy, regardless of how your code is run How to find and remove performance bottlenecks The second edition is a comprehensive update: New foundational chapters: "Names and values," "Control flow," and "Conditions" comprehensive coverage of object oriented programming with chapters on S3, S4, R6, and how to choose between them Much deeper coverage of metaprogramming, including the new tidy evaluation framework use of new package like rlang (http://rlang.r-lib.org), which provides a clean interface to low-level operations, and purr (http://purrr.tidyverse.org/) for functional programming Use of color in code chunks and figures Hadley Wickham is Chief Scientist at RStudio, an Adjunct Professor at Stanford University and the University of Auckland, and a member of the R Foundation. He is the lead developer of the tidyverse, a collection of R packages, including ggplot2 and dplyr, designed to support data science. He is also the author of R for Data Science (with Garrett Grolemund), R Packages, and ggplot2: Elegant Graphics for Data Analysis.

This book covers a wide range of subjects in applying machine learning approaches for bioinformatics projects. The book succeeds on two key unique features. First, it introduces the most widely used machine learning approaches in bioinformatics and discusses, with evaluations from real case studies, how they are used in individual bioinformatics projects. Second, it introduces state-of-the-art bioinformatics research methods. The theoretical parts and the practical parts are well integrated for readers to follow the existing procedures in individual research. Unlike most of the bioinformatics books on the market, the content coverage is not limited to just one subject. A broad spectrum of relevant topics in bioinformatics including systematic data mining and computational systems biology researches are brought together in this book, thereby offering an efficient and convenient platform for teaching purposes. An essential reference for both final year undergraduates and graduate students in universities, as well as a comprehensive handbook for new researchers, this book will also serve as a practical guide for software development in relevant bioinformatics projects.

There are more species of freshwater mollusks-well over 5,000-than all the mammal species of the world. Freshwater mollusks are also arguably the most endangered fauna on the planet. Yet few references exist for researchers, shell enthusiasts, and general readers who are interested in learning more about these fascinating creatures. In Freshwater Mollusks of the World, Charles Lydeard and Kevin S. Cummings fill that void with contributions from dozens of renowned mollusk experts. Touching on 34 families of freshwater gastropods (snails) and 9 families of freshwater bivalves (mussels and clams), each chapter provides a synthesis of the latest research on the diversity and evolutionary relationships of the family. The book also includes * a look at how evolving DNA sequencing data techniques help shed light on mollusk taxonomy* distribution maps of each family's biogeographic locales* a representative photo and distribution map for each of the freshwater mollusk families * the latest information on each family's conservation status-and how to reverse the habitat destruction, modification, and pollution that threatens it* a discussion of the ecological and economic damages caused by invasive mollusk species, as well as their role as disease vectors Mollusks provide us with amazing biogeographical insights: their ancient fossil record goes back over 500 million years, and their distribution patterns are a reflection of past continental and climate changes. The only comprehensive summary of systematic and biodiversity information on freshwater mollusk families throughout the world, this reference is a must for malacologists, limnologists, ichthyologists, stream ecologists, biogeographers, and conservation biologists. Contributors: Christian Albrecht, Rudiger Bieler, Bert Van Bocxlaer, David C. Campbell, Stephanie A. Clark, Catharina Clewing, Robert H. Cowie, Kevin S. Cummings, Diana Delicado, Hiroshi Fukuda, Hiroaki Fukumori, Matthias Glaubrecht, Daniel L. Graf, Diego E. Gutierrez Gregoric, Kenneth A. Hayes, Yasunori Kano, Taehwan Lee, Charles Lydeard, Nathaniel T. Marshall, Paula M. Mikkelsen, Marco T. Neiber, Timea P. Neusser, Winston Ponder, Michael Schroedl, Alena A. Shirokaya, Bjoern Stelbrink, Carol A. Stepien, Ellen E. Strong, Maxim V. Vinarski, Amy R. Wethington, Thomas Wilke

Get the intensive practice and skills you need to ace the SAT Biology E/M test! This step-by-step guide will give you the knowledge and tools you need to succeed on this challenging exam. You'll get essential skill-building techniques and strategies created and classroom-tested by high school biology teachers and curriculum developers. You'll also get full-length practice tests, hundreds of sample questions, and all the facts about the current exam-everything you need to do your best on test day! McGraw-Hill Education SAT Subject Test Biology, Fifth Edition features: *4 full-length sample tests reflective of the latest test format*Updated content that matches all of the topics covered on the Biology exam*Hundreds of practice questions with thorough answer explanations*Step-by-step review of all question types you'll see on the exam*Teacher-recommended strategies to raise your score*Great prep features such as SAT Biology at a Glance, Top Items to Remember on Test Day, and more

Exam Board: AQA Level: AS/A-level Subject: Biology First Teaching: September 2015 First Exam: June 2016 With My Revision Notes: AQA A level Biology you can: - Manage your own revision with step-by-step support from experienced teacher and examiner Mike Boyle - Apply biological terms accurately with the help of definitions and key words - Plan and pace your revision with the revision planner - Test understanding with questions throughout the book - Get exam ready with last minute quick quizzes available on the Hodder Education website

Interactions between the fields of physics and biology reach back over a century, and some of the most significant developments in biology--from the discovery of DNA's structure to imaging of the human brain--have involved collaboration across this disciplinary boundary. For a new generation of physicists, the phenomena of life pose exciting challenges to physics itself, and biophysics has emerged as an important subfield of this discipline. Here, William Bialek provides the first graduate-level introduction to biophysics aimed at physics students.

Bialek begins by exploring how photon counting in vision offers important lessons about the opportunities for quantitative, physics-style experiments on diverse biological phenomena. He draws from these lessons three general physical principles--the importance of noise, the need to understand the extraordinary performance of living systems without appealing to finely tuned parameters, and the critical role of the representation and flow of information in the business of life. Bialek then applies these principles to a broad range of phenomena, including the control of gene expression, perception and memory, protein folding, the mechanics of the inner ear, the dynamics of biochemical reactions, and pattern formation in developing embryos.

Featuring numerous problems and exercises throughout, "Biophysics" emphasizes the unifying power of abstract physical principles to motivate new and novel experiments on biological systems. Covers a range of biological phenomena from the physicist's perspective Features 200 problems Draws on statistical mechanics, quantum mechanics, and related mathematical concepts Includes an annotated bibliography and detailed appendixes Instructor's manual (available only to teachers)

Presents basic concepts, experimental methodology and data acquisition, and processing standards of in vivo NMR spectroscopy This book covers, in detail, the technical and biophysical aspects of in vivo NMR techniques and includes novel developments in the field such as hyperpolarized NMR, dynamic 13C NMR, automated shimming, and parallel acquisitions. Most of the techniques are described from an educational point of view, yet it still retains the practical aspects appreciated by experimental NMR spectroscopists. In addition, each chapter concludes with a number of exercises designed to review, and often extend, the presented NMR principles and techniques. The third edition of In Vivo NMR Spectroscopy: Principles and Techniques has been updated to include experimental detail on the developing area of hyperpolarization; a description of the semi-LASER sequence, which is now a method of choice; updated chemical shift data, including the addition of 31P data; a troubleshooting section on common problems related to shimming, water suppression, and quantification; recent developments in data acquisition and processing standards; and MatLab scripts on the accompanying website for helping readers calculate radiofrequency pulses. Provide an educational explanation and overview of in vivo NMR, while maintaining the practical aspects appreciated by experimental NMR spectroscopists Features more experimental methodology than the previous edition End-of-chapter exercises that help drive home the principles and techniques and offer a more in-depth exploration of quantitative MR equations Designed to be used in conjunction with a teaching course on the subject In Vivo NMR Spectroscopy: Principles and Techniques, 3rd Edition is aimed at all those involved in fundamental and/or diagnostic in vivo NMR, ranging from people working in dedicated in vivo NMR institutes, to radiologists in hospitals, researchers in high-resolution NMR and MRI, and in areas such as neurology, physiology, chemistry, and medical biology.

Winners and underdogs in scientific dispute - not always the better argument decides who is going to enter the annals. The end justifies the means, also in science when one or the other scientist tries to distinguish himself.

Exam Board: OCR Level: A-Level Subject: Biology First Teaching: September 2015 First Exam: Summer 2016 With My Revision Notes: OCR A Level Biology A you can: - Manage your own revision with step-by-step support from experienced teacher and examiner Frank Sochacki - Apply biological terms accurately with the help of definitions and key words - Plan and pace your revision with the revision planner - Test understanding with questions throughout the book - Get exam ready with last minute quick quizzes available on the Hodder Education website

This book presents new developments in non-local mathematical modeling and mathematical analysis on the behavior of solutions with novel technical tools. Theoretical backgrounds in mechanics, thermo-dynamics, game theory, and theoretical biology are examined in details. It starts off with a review and summary of the basic ideas of mathematical modeling frequently used in the sciences and engineering. The authors then employ a number of models in bio-science and material science to demonstrate applications, and provide recent advanced studies, both on deterministic non-local partial differential equations and on some of their stochastic counterparts used in engineering. Mathematical models applied in engineering, chemistry, and biology are subject to conservation laws. For instance, decrease or increase in thermodynamic quantities and non-local partial differential equations, associated with the conserved physical quantities as parameters. These present novel mathematical objects are engaged with rich mathematical structures, in accordance with the interactions between species or individuals, self-organization, pattern formation, hysteresis. These models are based on various laws of physics, such as mechanics of continuum, electro-magnetic theory, and thermodynamics. This is why many areas of mathematics, calculus of variation, dynamical systems, integrable systems, blow-up analysis, and energy methods are indispensable in understanding and analyzing these phenomena. This book aims for researchers and upper grade students in mathematics, engineering, physics, economics, and biology.

The life sciences deal with a vast array of problems at different spatial, temporal, and organizational scales. The mathematics necessary to describe, model, and analyze these problems is similarly diverse, incorporating quantitative techniques that are rarely taught in standard undergraduate courses. This textbook provides an accessible introduction to these critical mathematical concepts, linking them to biological observation and theory while also presenting the computational tools needed to address problems not readily investigated using mathematics alone.

Proven in the classroom and requiring only a background in high school math, "Mathematics for the Life Sciences" doesn't just focus on calculus as do most other textbooks on the subject. It covers deterministic methods and those that incorporate uncertainty, problems in discrete and continuous time, probability, graphing and data analysis, matrix modeling, difference equations, differential equations, and much more. The book uses MATLAB throughout, explaining how to use it, write code, and connect models to data in examples chosen from across the life sciences.Provides undergraduate life science students with a succinct overview of major mathematical concepts that are essential for modern biologyCovers all the major quantitative concepts that national reports have identified as the ideal components of an entry-level course for life science studentsProvides good background for the MCAT, which now includes data-based and statistical reasoningExplicitly links data and math modelingIncludes end-of-chapter homework problems, end-of-unit student projects, and select answers to homework problemsUses MATLAB throughout, and MATLAB m-files with an R supplement are available onlinePrepares students to read with comprehension the growing quantitative literature across the life sciencesForthcoming online answer key, solution guide, and illustration package (available to professors)

Provides a complete understanding of how our bodies respond to toxicants, and the principles used to assess the health risks of specific exposure scenarios Toxicology and Risk Assessment: A Comprehensive Introduction, Second Edition reflects recent advances in science and technology, and provides the scientific background and methodological issues to enable the reader to understand the basic principles in toxicology and to evaluate the health risks of specific exposure scenarios. Completely updated with the latest information, this book offers a concise introduction to the subject. It is divided into five sections: Principles in Toxicology, Organ Toxicology, Methods in Toxicology, Regulatory Toxicology, and Specific Toxicity. The 2nd Edition adds new chapters that cover recent scientific and technological advances and current topics including the endocrine system, alternatives to animal testing, risk assessment and thresholds for carcinogens, European and international regulation, nanomaterials, fuels, fragrances, and agrochemicals. Concentrates on the basic concepts of toxicology and provides sufficient information for the reader to become familiar with them in order to understand the principles and to evaluate the risks at given exposures 30% new chapters cover recent scientific and technological advances including alternatives to animal testing; genotoxic carcinogens; REACH regulations; nanomaterials; fuels; fragrances; PAHs; and agrochemicals Written by a team of international specialists, and edited by two outstanding scientists in the field Fully updated and expanded, Toxicology and Risk Assessment: A Comprehensive Introduction, Second Edition is an essential text for any student or researcher with an interest in toxicology and related risk assessments.

Motivating students to engage with physical chemistry through biological examples, this textbook demonstrates how the tools of physical chemistry can be used to illuminate biological questions. It clearly explains key principles and their relevance to life science students, using only the most straightforward and relevant mathematical tools. More than 350 exercises are spread throughout the chapters, covering a wide range of biological applications and explaining issues that students often find challenging. These, along with problems at the end of each chapter and end-of-term review questions, encourage active and continuous study. Over 130 worked examples, many deriving directly from life sciences, help students connect principles and theories to their own laboratory studies. Connections between experimental measurements and key theoretical quantities are frequently highlighted and reinforced. Answers to the exercises are included in the book. Fully worked solutions and answers to the review problems, password-protected for instructors, are available at www.cambridge.org/roussel.

Filling the gap on the market for comprehensive coverage of this versatile class of compounds, the scope of this monograph ranges from preparation and modern methods of investigation, via chemical and photochemical reactions, photochronism and nonlinear effects, to stilbenes as bases for optical and measuring instruments, applications in industry, biochemistry and biomedicine, and as fluorescence-photochrome biophysical labels.
Invaluable for molecular biologists, materials scientists and cell biologists, as well as catalytic, organic, medicinal and complex chemists, and those working with/on organometallics.

Every city dweller is aware that we are seeing fewer stars at night due to the increasing amount of artificial lighting. But that is just the tip of the iceberg, as far as the loss of natural nocturnal darkness is concerned. Humans and animals worldwide are now suffering from the disrupted rhythm of day and night due to extreme lighting at night. In humans this can lead to illness and increased stress. Hitherto only known to experts, this book is the first to comprehensively treat the entire phenomenon of light pollution. Richly illustrated using unusual images taken from the TV documentation "The Dark Side of Light" by Anja Freyhoff and Thomas Uhlmann, this book is for anyone interested in a harmonious coexistence between humans and nature and a healthy work/life rhythm.

Exam Board: AQA Level: AS/A-level Subject: Biology First Teaching: September 2015 First Exam: June 2017 Create confident, literate and well-prepared students with skills-focused, topic specific workbooks. Our Student Workbooks build students understanding, developing the confidence and exam skills they need, whilst providing ready prepared lesson solutions. - Supplements key resources such as textbooks to adapt easily to existing schemes of work - Offers time-saving and economical lesson solutions for both specialist and non-specialist teachers - Provides flexible resource material to reinforce and apply topic understanding throughout the course, as classwork or extension tasks, or with revision - Creates opportunities for self-directed learning and assessment with answers to tasks and activities supplied online - Prepares students to meet the demands of the specification by practising exam technique and developing their literacy skills

This volume, the result of three days of interactive sessions among world leaders in the cardiac sciences, summarizes the most up-to-date information about development and cardiogenesis signaling in cell-based therapy, as well as developmental aspects of the formation of the embryonic heart, including the effect of mechanical load on differentiation.

Other topics covered include: signaling and repair strategies, cell and gene therapy for the treatment of postmyocardial infarction, signaling, vascularization methods in engineering embryonic cardiac tissue, and molecular methods to improve survival of human embryonic stem cell-derived cardiomyocytes; developmental and evolutional cardiology; novel strategies for treatment of atrial fibrillation and channel molecular physiology in remodeling and hypertrophy; multiscale modeling for metabolism and flows, including force development, mechanics of cardiac contraction, and ATP supply and demand aspects; aging, interactions, and interference aspects include fibroblast-myocyte-capillary communications, nonuniformities in contraction, calcium channels as oxygen sensors, and epigenetics of heart failure; and macroscale phenomena and clinical aspects, including various clinical aspects of modern cardiology such as navigation methods for cardiac interventions and control of cardiac function by changes in energetic demand.

NOTE: Annals volumes are available for sale as individual books or as a journal. For information on institutional journal subscriptions, please visit www.blackwellpublishing.com/nyas.

ACADEMY MEMBERS: Please contact the New York Academy of Sciences directly to place your order (www.nyas.org). Members of the New York Academy of Science receive full-text access to the Annals online and discounts on print volumes. Please visit http: //www.nyas.org/MemberCenter/Join.aspx for more information about becoming a member.

.".". an interesting book that leads the reader through what factors can influence drug discovery and then gives specific examples on the current situation in development of drugs for particular parasitic and bacterial diseases."" -ChemMedChem, 2009

Addressing parasitic diseases and those caused by bacteria, this much needed reference and handbook provides a unique insight into the approach adopted by commercial science towards infectious diseases, including the work of medicinal chemists. Many of the authors are scientists with hands-on experience of drug discovery units within the pharmaceutical industry. In addition, the text covers efforts towards drug development in infectious diseases from academic groups and non profit organizations.

Specifically intended for lab-based biomedical researchers, this practical guide shows how to design experiments that are reproducible, with low bias, high precision, and widely applicable results. With specific examples from research using both cell cultures and model organisms, it explores key ideas in experimental design, assesses common designs, and shows how to plan a successful experiment. It demonstrates how to control biological and technical factors that can introduce bias or add noise, and covers rarely discussed topics such as graphical data exploration, choosing outcome variables, data quality control checks, and data pre-processing. It also shows how to use R for analysis, and is designed for those with no prior experience. An accompanying website (https://stanlazic.github.io/EDLB.html) includes all R code, data sets, and the labstats R package. This is an ideal guide for anyone conducting lab-based biological research, from students to principle investigators working in either academia or industry.

The first comprehensive overview of preprocessing, mining, and postprocessing of biological data

Molecular biology is undergoing exponential growth in both the volume and complexity of biological data--and knowledge discovery offers the capacity to automate complex search and data analysis tasks. This book presents a vast overview of the most recent developments on techniques and approaches in the field of biological knowledge discovery and data mining (KDD)--providing in-depth fundamental and technical field information on the most important topics encountered.

Written by top experts, "Biological Knowledge Discovery Handbook: Preprocessing, Mining, and Postprocessing of Biological Data" covers the three main phases of knowledge discovery (data preprocessing, data processing--also known as data mining--and data postprocessing) and analyzes both verification systems and discovery systems.

BIOLOGICAL DATA PREPROCESSINGPart A: Biological Data ManagementPart B: Biological Data ModelingPart C: Biological Feature ExtractionPart D Biological Feature Selection

BIOLOGICAL DATA MININGPart E: Regression Analysis of Biological DataPart F Biological Data ClusteringPart G: Biological Data ClassificationPart H: Association Rules Learning from Biological DataPart I: Text Mining and Application to Biological DataPart J: High-Performance Computing for Biological Data Mining

Combining sound theory with practical applications in molecular biology, "Biological Knowledge Discovery Handbook" is ideal for courses in bioinformatics and biological KDD as well as for practitioners and professional researchers in computer science, life science, and mathematics.

Explore and analyze the solutions of mathematical models from diverse disciplines As biology increasingly depends on data, algorithms, and models, it has become necessary to use a computing language, such as the user-friendly MapleTM, to focus more on building and analyzing models as opposed to configuring tedious calculations. Explorations of Mathematical Models in Biology with Maple provides an introduction to model creation using Maple, followed by the translation, analysis, interpretation, and observation of the models. With an integrated and interdisciplinary approach that embeds mathematical modeling into biological applications, the book illustrates numerous applications of mathematical techniques within biology, ecology, and environmental sciences. Featuring a quantitative, computational, and mathematical approach, the book includes: * Examples of real-world applications, such as population dynamics, genetics, drug administration, interacting species, and the spread of contagious diseases, to showcase the relevancy and wide applicability of abstract mathematical techniques * Discussion of various mathematical concepts, such as Markov chains, matrix algebra, eigenvalues, eigenvectors, first-order linear difference equations, and nonlinear first-order difference equations * Coverage of difference equations to model a wide range of real-life discrete time situations in diverse areas as well as discussions on matrices to model linear problems * Solutions to selected exercises and additional Maple codes Explorations of Mathematical Models in Biology with Maple is an ideal textbook for undergraduate courses in mathematical models in biology, theoretical ecology, bioeconomics, forensic science, applied mathematics, and environmental science. The book is also an excellent reference for biologists, ecologists, mathematicians, biomathematicians, and environmental and resource economists.

Numerous criminologists have noted their dissatisfaction with the state of criminology. The need for a new paradigm for the 21st century is clear. However, many distrust biology as a factor in studies of criminal behavior, whether because of limited exposure or because the orientation of criminology in general has a propensity to see it as racist, classist, or at least illiberal. This innovative new book by noted criminologist Anthony Walsh dispels such fears, examining how information from the biological sciences strengthens criminology work and both complements and improves upon traditional theories of criminal behavior. With its reasoned case for biological science as a fundamental tool of the criminologist, Walsh's groundbreaking work will be required reading for all students and faculty within the field of criminology.