Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R

How new investors can start using a small-business mindset to maximize their wealth.An early start in investing can be a huge advantage, but investors must quickly learn to make the most of opportunit

This book provides a thoughtful and rigorous guide to coverage modeling, reviewing essential models, solution approaches, and related applications. Since the early developments of the Location Set Cov

This book provides an in-depth analysis of the role of foreign-owned banks for credit growth, financial stability and economic growth in the post-communist European countries. Using data covering 20 c

Uniquely focusing on dynamic modeling, this volume incorporates metabolic regulation as a survival mechanism for cells, by driving metabolism through optimal investment of its resources for control of enzyme synthesis and activity. Consequently, the models have a proven record of describing various uptake patterns of mixed carbon substrates that have become significant in modern applications of biomass for the production of bioenergy. The models accurately describe dynamic behavior of microbes in nutrient environments with mixtures of complementary substrates, such as carbon and nitrogen. Modeling of large metabolic networks (including prospects for extension to genome scale) is enabled by lumped hybrid cybernetic models with an unparalleled capacity to predict dynamic behavior of knockout strains. This is an invaluable, must-have reference for bio-researchers and practicing engineers.

This is the first book in a generation on medieval agriculture in Wales, presenting evidence which is of considerable relevance to those studying the development of the early medieval landscapes of En

The generation and use of data in society has seen exponential growth in recent years. The emergent field of data science, concerned with understanding and analyzing this data, can be applied to appli

Spatial Data Analysis in Ecology and Agriculture Using R, 2nd Edition provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology,

This broad view of epigenetic approaches in drug discovery combines methods and strategies with individual targets, including new and largely unexplored ones such as sirtuins and methyl-lysine reader

Many colleges and universities have begun using the language of vocation and calling to help undergraduates think about the future direction of their lives. This language is used in both secular and r

A comprehensive guide to statistics—with information on collecting, measuring, analyzing, and presenting statistical data—continuing the popular 101 series. Data is everywhere. In the age

Completely revised and updated for 2019, the Physicians' Cancer Chemotherapy Drug Manual is an up-to-date guide to the latest information on standard therapy and recent advances in the field. Written

Protect your data from attack by using SQL Server technologies to implement a defense-in-depth strategy for your database enterprise. This new edition covers threat analysis, common attacks and counte

Build Android apps using the popular and efficient Android Studio 3 suite of tools, an integrated development environment (IDE) with which Android developers can now use the Kotlin programming languag

Presenting a multifaceted portrait of modernist culture in Russia, an array of distinguished scholars shows how artists and writers in the early twentieth century engaged with politics, science, and r

How a public-private partnership led to the largest emergency response system in the worldEmergency medical response systems are a critical component of any nation’s healthcare system. Minutes or even

Electrical Conductivity in Polymer-Based Composites: Experiments, Modelling and Applications offers detailed information on all aspects of conductive composites. These composites offer many benefits i

This book provides a timely summary of physical modeling approaches applied to biological datasets that describe conformational properties of chromosomes in the cell nucleus. Chapters explain how to c

Humanoid Robots: Modeling and Control provides systematic presentation of the models used in the analysis, design and control of humanoid robots. The book starts with a historical overview of the fiel

Measurements, Mechanisms, and Models of Heat Transport offers an interdisciplinary approach to the dynamic response of matter to energy input. Using a combination of fundamental principles of physics,

The early Deadball Era featured landmark achievements, great performances by several of baseball’s immortals, and a delightful array of characters. John McGraw won his first pennant as a manager and r

What is the connection between Victorian writing and experiment? Artful Experiments seeks to answer this question by approaching the field of literature and science in a way that is not so much centre

This is a hands-on, practical guide covering seedling screening for disease response in oil palm for pathology, breeding and genetics. Oil palm is the top oil crop in the world and Ganoderma is the mo

Python has become the language of choice for programmers in data science, game development, and numerous other areas. Learn the basics of Python programming in this step by step guide in a “teach your

This volume provides a practical introduction to the method of maximum likelihood as used in social science research. Ward and Ahlquist focus on applied computation in R and use real social science data from actual, published research. Unique among books at this level, it develops simulation-based tools for model evaluation and selection alongside statistical inference. The book covers standard models for categorical data as well as counts, duration data, and strategies for dealing with data missingness. By working through examples, math, and code, the authors build an understanding about the contexts in which maximum likelihood methods are useful and develop skills in translating mathematical statements into executable computer code. Readers will not only be taught to use likelihood-based tools and generate meaningful interpretations, but they will also acquire a solid foundation for continued study of more advanced statistical techniques.

The book is the first quantitative description of Europe’s economic development at a regional level over the entire 20th century. Based on a new and comprehensive set of data, this book brings togethe

In this anthology, editors Kym Anderson and Vicente Pinilla have gathered together some of the world's leading wine economists and economic historians to examine the development of national wine industries before and during the two waves of globalization. The empirically-based chapters analyze developments in all key wine-producing and consuming countries using a common methodology to explain long-term trends and cycles in wine production, consumption, and trade. The authors cover topics such as the role of new technologies, policies, and institutions, as well as exchange rate movements, international market developments, evolutions in grape varieties, and wine quality changes. The final chapter draws on an economic model of global wine markets, to project those markets to 2025 based on various assumptions about population and income growth, real exchange rates, and other factors. All authors of the book contributed to a unique global database of annual data back to the mid-nineteenth

This book explores the lives of young people through the lens of storytelling. Using extensive qualitative and empirical data from young people’s conversations following storytelling performances in s

Wetting Experiments contains experimental wetting studies related to biological problems, polymers, and catalysts. An understanding of wetting is important for numerous practical applications, such as

This volume provides a practical introduction to the method of maximum likelihood as used in social science research. Ward and Ahlquist focus on applied computation in R and use real social science data from actual, published research. Unique among books at this level, it develops simulation-based tools for model evaluation and selection alongside statistical inference. The book covers standard models for categorical data as well as counts, duration data, and strategies for dealing with data missingness. By working through examples, math, and code, the authors build an understanding about the contexts in which maximum likelihood methods are useful and develop skills in translating mathematical statements into executable computer code. Readers will not only be taught to use likelihood-based tools and generate meaningful interpretations, but they will also acquire a solid foundation for continued study of more advanced statistical techniques.

The notion of data is increasingly encountered in spatial, creative and cultural studies. Big data and artificial intelligence are significantly influencing a number of disciplines. Processes, methods

This book bridges the current quantitative and qualitative text analyses, using grammar as a crucial source of investigation. Taking data from Czech, an inflected language, in which the most optimal c

Viral Polymerases: Structures, Functions and Roles as Antiviral Drug Targets presents in-depth study information on the structure and functions of polymerases and their roles in the lifecycle of virus

The Information and Communications for Development report takes an in-depth look at how information and communication technologies (ICT) are impacting economic growth in developing countries. This ne

The book comprises contributions by some of the most respected scientists in the field of mathematical modeling and numerical simulation of the human cardiocirculatory system. It covers a wide range o

Modern Approaches in Drug Discovery, Volume 611, the latest release in the Methods in Enzymology series, highlights new advances in the field, with this new volume presenting interesting chapters on t

Sufism and Early Islamic Piety: Personal and Communal Dynamics offers a new story about the formative period of Sufism. Through a fresh reading of diverse Sufi and non-Sufi sources, Arin Shawkat Salamah-Qudsi reveals the complexity of personal and communal aspects of Sufi piety in the period between the ninth and thirteenth centuries. Her study also sheds light on the interrelationships and conflicts of early Sufis through emphasising that early Sufism was neither a quietist or a completely individual mode of piety. Salamah-Qudsi reveals how the early Sufis' commitment to the Islamic ideal of family life lead to different creative arrangements among them in order to avoid contradictions with this ideal and the mystical ideal of solitary life. Her book enables a deeper understanding of the development of Sufism in light of the human concerns and motivations of its founders.

The book illustrates how biostatistics may numerically summarize human genetic epidemiology using R, and may be used successfully to solveproblems in quantitative Genetic Epidemiology Biostatisti

This volume covers a wide variety of state of the art cancer-related methods and tools for data analysis and interpretation. Chapters were designed to attract a broad readership, ranging from active r

About this book: GDPR: General Data Protection Regulation (EU) 2016/679 is a comprehensive commentary in the market on the post-reform personal data protection in the European Union (EU). The book of

New Look to Phytomedicine: Advancements in Herbal Products as Novel Drug Leads is a compilation of in-depth information on the phytopharmaceuticals used in modern medicine for the cure and management