This book contains a rich set of tools for nonparametric analyses, and the purpose of this text is to provide guidance to students and professional researchers on how R is used for nonparametric data analysis in the biological sciences: To introduce when nonparametric approaches to data analysis are appropriate To introduce the leading nonparametric tests commonly used in biostatistics and how R is used to generate appropriate statistics for each test To introduce common figures typically associated with nonparametric data analysis and how R is used to generate appropriate figures in support of each data set The book focuses on how R is used to distinguish between data that could be classified as nonparametric as opposed to data that could be classified as parametric, with both approaches to data classification covered extensively. Following an introductory lesson on nonparametric statistics for the biological sciences, the book is organized into eight self-contained lessons on various analyses and tests using R to broadly compare differences between data sets and statistical approach.

Since Darwin, Biology has been framed on the idea of evolution by natural selection, which has profoundly influenced the scientific and philosophical comprehension of biological phenomena and of our place in Nature. This book argues that contemporary biology should progress towards and revolve around an even more fundamental idea, that of autonomy. Biological autonomy describes living organisms as organised systems, which are able to self-produce and self-maintain as integrated entities, to establish their own goals and norms, and to promote the conditions of their existence through their interactions with the environment. Topics covered in this book include organisation and biological emergence, organisms, agency, levels of autonomy, cognition, and a look at the historical dimension of autonomy. The current development of scientific investigations on autonomous organisation calls for a theoretical and philosophical analysis. This can contribute to the elaboration of an original understanding of life - including human life - on Earth, opening new perspectives and enabling fecund interactions with other existing theories and approaches. This book takes up the challenge.

Scientists planning experiments in medical and behavioral research will find this handbook and dictionary an invaluable desk reference tool. Also recommended as a textbook for students of Experimental Design or accompanying courses in Statistics.
Principles of experimental design are introduced, techniques of experimental design are described, and advantages and disadvantages of often used designs are discussed. This two-part volume, a handbook of experimental design and a dictionary providing short explanations for many terms related to experimental design, contains information that will not quickly become outdated.

This BASS book Series publishes selected high-quality papers reflecting recent advances in the design and biostatistical analysis of biopharmaceutical experiments - particularly biopharmaceutical clinical trials. The papers were selected from invited presentations at the Biopharmaceutical Applied Statistics Symposium (BASS), which was founded by the first Editor in 1994 and has since become the premier international conference in biopharmaceutical statistics. The primary aims of the BASS are: 1) to raise funding to support graduate students in biostatistics programs, and 2) to provide an opportunity for professionals engaged in pharmaceutical drug research and development to share insights into solving the problems they encounter. The BASS book series is initially divided into three volumes addressing: 1) Design of Clinical Trials; 2) Biostatistical Analysis of Clinical Trials; and 3) Pharmaceutical Applications. This book is the second of the 3-volume book series. The topics covered include: Statistical Approaches to the Meta-analysis of Randomized Clinical Trials, Collaborative Targeted Maximum Likelihood Estimation to Assess Causal Effects in Observational Studies, Generalized Tests in Clinical Trials, Discrete Time-to-event and Score-based Methods with Application to Composite Endpoint for Assessing Evidence of Disease Activity-Free , Imputing Missing Data Using a Surrogate Biomarker: Analyzing the Incidence of Endometrial Hyperplasia, Selected Statistical Issues in Patient-reported Outcomes, Network Meta-analysis, Detecting Safety Signals Among Adverse Events in Clinical Trials, Applied Meta-analysis Using R, Treatment of Missing Data in Comparative Effectiveness Research, Causal Estimands: A Common Language for Missing Data, Bayesian Subgroup Analysis with Examples, Statistical Methods in Diagnostic Devices, A Question-Based Approach to the Analysis of Safety Data, Analysis of Two-stage Adaptive Seamless Trial Design, and Multiplicity Problems in Clinical Trials - A Regulatory Perspective.

Volume II of this two-volume, interdisciplinary work is a unified presentation of a broad range of state-of-the-art topics in the rapidly growing field of mathematical modeling in the biological sciences. Highlighted throughout are mathematical and computational apporaches to examine central problems in the life sciences, ranging from the organization principles of individual cells to the dynamics of large populations. The chapters are thematically organized into the following main areas: epidemiology, evolution and ecology, immunology, neural systems and the brain, and innovative mathematical methods and education.

The work will be an excellent reference text for a broad audience of researchers, practitioners, and advanced students in this rapidly growing field at the intersection of applied mathematics, experimental biology and medicine, computational biology, biochemistry, computer science, and physics.

Collates the most relevant and up to date information on renewable energy systems in a user friendly format for undergraduate and high school students Focused on power production technologies from renewable energy sources. An introduction to how sources of renewable energy work; their advantages and drawbacks. Timely text with the need for fast adoption of renewable energy technologies around the world. Diverse audience including students with some scientific background such as final year in high school wanting to know more about combatting climate change.

Food products are complex in nature which makes their analysis difficult. Different scientific disciplines such as biochemistry, microbiology, and nutrition, together with engineering concepts are involved in their characterization. However, imaging of food materials and data analysis has gained more importance due to innovations in the food industry, as well as the emergence of food nanotechnology. Image analysis protocols and techniques can be used in food structure analysis and process monitoring. Therefore, food structure imaging is crucial for various sections of the food chain starting from the raw material to the end product. This book provides information on imaging techniques such as electron microscopy, laser microscopy, x-ray tomography, raman and infrared imaging, together with data analysis protocols. It addresses the most recent advances in imaging technologies and data analysis of grains, liquid food systems (i.e. emulsions and gels), semi-solid and solid foams (i.e. bakery products, dough, expanded snacks), protein films, fruits and vegetable confectionery and nuts. This book also: Provides in-depth view of raw material characterization and process control Covers structure-functionality and structure-texture relationships Reviews applications to emerging areas of food science with an insight into future trends

This edited monograph presents the collected interdisciplinary research results of the priority program "Information- and Communication Theory in Molecular Biology (InKoMBio, SPP 1395)", funded by the German Research Foundation DFG, 2010 until 2016. The topical spectrum is very broad and comprises, but is not limited to, aspects such as microRNA as part of cell communication, information flow in mammalian signal transduction pathway, cell-cell communication, semiotic structures in biological systems, as well as application of methods from information theory in protein interaction analysis. The target audience primarily comprises research experts in the field of biological signal processing, but the book is also beneficial for graduate students alike.

A RADIO 4 BOOK OF THE WEEK 'Full of delightful nuggets' Guardian online 'Entertaining, informative and philosphical ... An essential read' All About History 'Extraordinary range ... All the world and more is here' Evening Standard 165 million years ago saw the birth of rhythm. 66 million years ago came the first melody. 40 thousand years ago Homo sapiens created the first musical instrument. Today music fills our lives. How we have created, performed and listened to music throughout history has defined what our species is and how we understand who we are. Yet it is an overlooked part of our origin story. The Musical Human takes us on an exhilarating journey across the ages - from Bach to BTS and back - to explore the vibrant relationship between music and the human species. With insights from a wealth of disciplines, world-leading musicologist Michael Spitzer renders a global history of music on the widest possible canvas, from global history to our everyday lives, from insects to apes, humans to artificial intelligence. 'Michael Spitzer has pulled off the impossible: a Guns, Germs and Steel for music' Daniel Levitin 'A thrilling exploration of what music has meant and means to humankind' Ian Bostridge

Intelligence results from the interaction of the brain, body and environment. The question addressed in this book is, can we measure the contribution of the body and its' interaction with the environment? To answer this, we first present a comprehensive overview of the various ways in which a body reduces the amount of computation that the brain has to perform to solve a task. This chapter will broaden your understanding of how important inconspicuously appearing physical processes and physical properties of the body are with respect to our cognitive abilities. This form of contribution to intelligence is called Morphological Intelligence. The main contribution of this book to the field is a detailed discussion of how Morphological Intelligence can be measured from observations alone. The required mathematical framework is provided so that readers unfamiliar with information theory will be able to understand and apply the measures. Case studies from biomechanics and soft robotics illustrate how the presented quantifications can, for example, be used to measure the contribution of muscle physics to jumping and optimise the shape of a soft robotic hand. To summarise, this monograph presents various examples of how the physical properties of the body and the body's interaction with the environment contribute to intelligence. Furthermore, it treats theoretical and practical aspects of Morphological Intelligence and demonstrates the value in two case studies.

For many years, the authors have investigated the adaptive role of heat shock proteins (HSPs) in different animals, including the representatives of homothermic and poikilothermic organisms that inhabit regions with contrasting thermal conditions. This book will summarize the data accumulated in the course of these studies and describe the general molecular mechanisms underlying the adaptation of various organisms to aggressive environments. We also concentrate on different evolutionary trends characteristic for HSP systems in the course of adaptation to fluctuating environmental conditions. In addition, we describe the peculiarities in the regulatory regions of heat shock genes necessary for fine tuning of these systems providing the adaptation to adverse conditions. Special emphasis is given to the role of mobile elements in the evolution and functioning of various groups of HSP genes. The book combines the results of field studies and laboratory analysis of stress genes systems.

This book is the third revised and updated English edition of the German textbook \Versuchsplanung und Modellwahl" by Helge Toutenburg which was based on more than 15 years experience of lectures on the course \- sign of Experiments" at the University of Munich and interactions with the statisticians from industries and other areas of applied sciences and en- neering. This is a type of resource/ reference book which contains statistical methods used by researchers in applied areas. Because of the diverse ex- ples combined with software demonstrations it is also useful as a textbook in more advanced courses, The applications of design of experiments have seen a signi?cant growth in the last few decades in di?erent areas like industries, pharmaceutical sciences, medical sciences, engineering sciences etc. The second edition of this book received appreciation from academicians, teachers, students and applied statisticians. As a consequence, Springer-Verlag invited Helge Toutenburg to revise it and he invited Shalabh for the third edition of the book. In our experience with students, statisticians from industries and - searchers from other ?elds of experimental sciences, we realized the importance of several topics in the design of experiments which will - crease the utility of this book. Moreover we experienced that these topics are mostly explained only theoretically in most of the available books.

It has been generally accepted that angiogenesis is involved in the pathogenesis of hematological malignancies, like acute and chronic leukemia, lymphoma, myelodysplastic syndromes, myeloproliferative neoplasms and multiple myeloma. The extent of angiogenesis in the bone marrow has been correlated with disease burden, prognosis and treatment outcome. Reciprocal positive and negative interactions between tumor cells and bone marrow stromal cells, namely hematopoietic stem cells, fibroblasts, osteoblasts/osteoclasts, endothelial cells, endothelial progenitor cells, T cells, macrophages and mast cells, mediated by an array of cytokines, receptors and adhesion molecules, modulate the angiogenic response in hematological tumors. More recently, it has been emphasized the pro-angiogenic role of the so called "vascular niche," indicating a site rich in blood vessels where endothelial cells and mural cells such as pericytes and smooth muscle cells create a microenvironment that affects the behavior of several stem and progenitor cells, in hematological malignancies.

The contributors to this volume share the assumption that popular narrative, when viewed with an evolutionary lens, offers an incisive index into human nature. In theory, narrative art could take a near infinity of possible forms. In actual practice, however, particular motifs, plot patterns, stereotypical figures, and artistic devices persistently resurface, indicating specific predilections frequently at odds with our actual living conditions. Our studies explore various media and genres to gauge the impact of our evolutionary inheritance, in interdependence with the respective cultural environments, on our aesthetic appreciation. As they suggest, research into mass culture is not only indispensable for evolutionary criticism but may also contribute to our understanding of prehistoric selection pressures that still influence modern preferences in popular narrative. Contributions by David Andrews, James Carney, Mathias Clasen, Brett Cooke, Tamas David-Barrett, Tom Dolack, Kathryn Duncan, Isabel Behncke Izquierdo, Joe Keener, Alex C. Parrish, Todd K. Platts, Anna Rotkirch, Judith P. Saunders, Michelle Scalise Sugiyama, Dirk Vanderbeke, and Sophia Wege.

Recent achievements in hardware and software developments have enabled the introduction of a revolutionary technology: in-memory data management. This technology supports the flexible and extremely fast analysis of massive amounts of data, such as diagnoses, therapies, and human genome data. This book shares the latest research results of applying in-memory data management to personalized medicine, changing it from computational possibility to clinical reality. The authors provide details on innovative approaches to enabling the processing, combination, and analysis of relevant data in real-time. The book bridges the gap between medical experts, such as physicians, clinicians, and biological researchers, and technology experts, such as software developers, database specialists, and statisticians. Topics covered in this book include - amongst others - modeling of genome data processing and analysis pipelines, high-throughput data processing, exchange of sensitive data and protection of intellectual property. Beyond that, it shares insights on research prototypes for the analysis of patient cohorts, topology analysis of biological pathways, and combined search in structured and unstructured medical data, and outlines completely new processes that have now become possible due to interactive data analyses.

Computational biology is an interdisciplinary field that applies mathematical, statistical, and computer science methods to answer biological questions, and its importance has only increased with the introduction of high-throughput techniques such as automatic DNA sequencing, comprehensive expression analysis with microarrays, and proteome analysis with modern mass spectrometry. In Computational Biology, expert practitioners present a broad survey of computational biology methods by focusing on their applications, including primary sequence analysis, protein structure elucidation, transcriptomics and proteomics data analysis, and exploration of protein interaction networks. As a volume in the highly successful Methods in Molecular Biology (TM) series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Authoritative and easy to use, Computational Biology is an ideal guide for all scientists interested in quantitative biology.

The book covers nonlinear physical problems and mathematical modeling, including molecular biology, genetics, neurosciences, artificial intelligence with classical problems in mechanics and astronomy and physics. The chapters present nonlinear mathematical modeling in life science and physics through nonlinear differential equations, nonlinear discrete equations and hybrid equations. Such modeling can be effectively applied to the wide spectrum of nonlinear physical problems, including the KAM (Kolmogorov-Arnold-Moser (KAM)) theory, singular differential equations, impulsive dichotomous linear systems, analytical bifurcation trees of periodic motions, and almost or pseudo- almost periodic solutions in nonlinear dynamical systems.

Since 9/11 and the U.S. anthrax attacks, public, and policy concerns about the security threats posed by biological weapons has increased significantly. As a result, there are now active international deliberations about what restrictions should be placed on the openness of scientific research. "Biotechnology, Security and the Search for Limits" examines these security implications for life science research as well as the methodological issues associated with conducting social research. In doing so the book considers the place of biological and social research in creating and responding to societal problems through drawing on diverse academic traditions such as discourse analysis, social problems studies, philosophy, action research, science and technology studies, politics, and public policy.

The human hand and its dexterity in grasping and manipulating objects are some of the hallmarks of the human species. For years, anatomic and biomechanical studies have deepened the understanding of the human hand's functioning and, in parallel, the robotics community has been working on the design of robotic hands capable of manipulating objects with a performance similar to that of the human hand. However, although many researchers have partially studied various aspects, to date there has been no comprehensive characterization of the human hand's function for grasping and manipulation of everyday life objects. This monograph explores the hypothesis that the confluence of both scientific fields, the biomechanical study of the human hand and the analysis of robotic manipulation of objects, would greatly benefit and advance both disciplines through simulation. Therefore, in this book, the current knowledge of robotics and biomechanics guides the design and implementation of a simulation framework focused on manipulation interactions that allows the study of the grasp through simulation. As a result, a valuable framework for the study of the grasp, with relevant applications in several fields such as robotics, biomechanics, ergonomics, rehabilitation and medicine, has been made available to these communities.

Includes science and technology of processing solid minerals to concentrates of grades, suitable for industrial extraction of metal values and other non-metallic products Provides a logical progression from basic to advanced concepts in mineral processing Designed to stimulate students to think as mineral processing engineers in training Explores sustainable mineral processing and circular economy in mineral processing Contains worked examples that clearly illustrates the various theories presented and help readers develop problem solving skills in mineral processing

Over the past years, the chem(o)informatics field has further evolved and new application areas have opened up, for example, in the broadly defined area of chemical biology. In Chemoinformatics and Computational Chemical Biology, leading investigators bring together a detailed series of reviews and methods including, among others, system-directed approaches using small molecules, the design of target-focused compound libraries, the study of molecular selectivity, and the systematic analysis of target-ligand interactions. Furthermore, the book delves into similarity methods, machine learning, probabilistic approaches, fragment-based methods, as well as topics that go beyond the current chemoinformatics spectrum, such as knowledge-based modeling of G protein-coupled receptor structures and computational design of siRNA libraries. As a volume in the highly successful Methods in Molecular Biology (TM) series, this collection provides detailed descriptions and implementation advice that are exceedingly relevant for basic researchers and practitioners in this highly interdisciplinary research and development area. Cutting-edge and unambiguous, Chemoinformatics and Computational Chemical Biology serves as an ideal guide for experts and newcomers alike to this vital and dynamic field of study.

Die Behandlung der Leguminosen in der Chemotaxonomie der Pflanzen wird mit Band XIb-1 fortgesetzt. In ihm werden die von den Caesalpinioideae und Mimosoideae bekannt gewordenen Naturstoffe im Rahmen der natA1/4rlichen Klassifikation der Familie besprochen. Der Teilband enthAlt A1/4ber 2000 Literaturhinweise sowie ein eigenes Pflanzennamen- und Stichwortregister. Hegnauer's Chemotaxonomie is an indispensable handbook for all those scientific disciplines concerned with not only systematic botany, but all aspects of the plant world. Both text and bibliography reflect our present knowledge of the particularities of plant metabolism. The last volume of Chemotaxonomy of Plants treats Leguminosae in three parts. XIa.: General aspects. XIB-1: Phytochemistry and chemotaxonomy of Caesalpinioideae and Mimosoideae. XIb-2: Phytochemistry and chemotaxonomy of Papilionoideae (in preparation). These three volumes form a valuable tool for everyone with an interest in the Leguminosae. They are not only relevant to plant taxonomists, plant physiologists, and natural product chemists but also to ecologists, agriculturists, nutritional scientists, pharmacists, pharmacologists and ethnobotanists. The cosmopolitan Leguminosae cover approximately 600 genera and 13000 species including many economically and ethnobotanically important plants. Each of the three volumes devoted to Leguminosae contains a taxonomic index, a subject index and over 2000 references.

Handbook of Current and Novel Protocols for the Treatment of Infertility is a valuable resource of well-organized, comprehensive scientific data with practical guides and step-by-step protocols for infertility management. Written by contributors located worldwide, this book discusses different practice patterns and approaches used internationally, along with innovative topics including preimplantation genetic testing, time lapse imaging and the role of artificial intelligence in ART. This book provides up-to-date, evidence-based guidance on daily practice and is a valuable resource for infertility providers, including trainees in the field of reproductive endocrinology and infertility, embryologists, specialists in reproductive medicine and gynecologists. The field of Assisted Reproductive Technology (ART) is rapidly evolving and stimulation protocols, fertility strategies and aspects of infertility treatments are constantly being updated as advances and new discoveries are made.