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Clinical applications of mass spectrometry in drug analysis : Methods and protocols
This fully updated volume describes methods and protocols for a number of drugs and toxins in a stepwise manner. Exploring the versatility and flexibility of mass spectrometry, the book covers the advantages of this technology, which typically include elimination of the need for special reagents such as antibodies, increased sensitivity and specificity, and multi-component analysis enabling the screening of tens to hundreds of compounds in a single assay run. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step and readily reproducible laboratory protocols, as well as tips on troubleshooting and avoiding known pitfalls.
Cancer drug resistance : methods and protocols
Discusses the latest techniques used to identify cancer drug resistance determinants at the molecular, cellular, and functional levels. Chapters in this book cover up-to-date topics including tumor-microenvironment cell co-culture methods and microfluidics systems; workflows for functional assessment of drug resistance in vitro and in vivo; quantitative techniques for identifying quiescent blood-flow circulating cells; and single-cell characterization methods, such as mass cytometry.
Bioinformatics drug discovery
Quantitative tools are becoming increasingly important in order to understand complex cascade of signal transduction events, pathways or biochemical reactions. The book showcases how computational techniques and algorithms are applied to biological data analysis, interpretation, and modelling. It covers applications in drug design and discovery, immune systems, phylogenetic analysis and protein structures.
Bioimage Data Analysis Workflows
This book provides students and researchers in the life sciences with essential practical information on how to quantitatively analyze data images. It refrains from focusing on theory, and instead uses practical examples and step-by step protocols to familiarize readers with the most commonly used image processing and analysis platforms such as ImageJ, MatLab and Python.
Basic methods for the biochemical lab
Covers : quantitative methods (proteins, nucleic acids, phospholipids and carbohydrates), electrophoresis (several polyacrylamide and agarose systems, 2D-PAGE, detection methods and affinity electrophoresis), chromatographic protocols (thin-layer chromatography, GPC, IEC, affinity chromatography, HPLC), immunochemical protocols (hapten-carrier and enzyme conjugation, immunization and antibody purification, immune affinity chromatography, ELISA), centrifugation (differential and density gradient centrifugation for cells and cellular fractions), radioactivity (labeling and counting), buffers (buffer properties and compositions).
Association Mapping in Plants
For the past decade, there has been success in using conventional map-based strategies in identification and cloning of quantitative trait loci (QTL) in model plant species including tomato and Arabidopsis. These quantitative traits are generally the products of many loci with varying degrees of effect upon the observed phenotypes. Recently, a new approach to genetic mapping has emerged called association mapping. This new technique takes into account the thousands of genes to evaluate for QTL effect and is a more efficient approach that does not require generation of segregating populations/large numbers of progeny. As it can utilize all of the historic recombination events in a diverse population of individuals it can generate higher resolution genetic maps and, is needed to complement current map based cloning methods.
Appropriate Dose Selection - How to Optimize Clinical Drug Development
Optimal dose individualization has become more important in improving clinical efficacy and safety, given the variability in drug response, e.g., due to concurrent illnesses or co-medications. Therefore, the role of optimal dose finding in early clinical drug development so as to maximize successful clinical use is emphasized. The continued use of biomarkers – based on the (known) pharmacology of the drug and/or biology of the underlying disease – along with exposure–response evaluation throughout all phases of drug development can quantitatively integrate clinical pharmacology knowledge, provide early proof of concept, and help in rational dose selection and rational drug product labeling for clinical use.
Machine learning and big data : Concepts, algorithms, tools and applications
Showcase novel use-cases and applications, present empirical research results from user-centered qualitative and quantitative experiments of these new applications, and facilitate a discussion forum to explore the latest trends in big data and machine learning by providing algorithms which can be trained to perform interdisciplinary techniques such as statistics, linear algebra, and optimization and also create automated systems that can sift through large volumes of data at high speed to make predictions or decisions without human intervention
Citation Analysis in Research Evaluation
This book is written for members of the scholarly research community, and for persons involved in research evaluation and research policy. More specifically, it is directed towards the following four main groups of readers: – All scientists and scholars who have been or will be subjected to a quantitative assessment of research performance using citation analysis. – Research policy makers and managers who wish to become conversant with the basic features of citation analysis, and about its potentialities and limitations. – Members of peer review committees and other evaluators, who consider the use of citation analysis as a tool in their assessments. – Practitioners and students in the field of quantitative science and technology studies, informetrics, and library and information science. Citation analysis involves the construction and application of a series of indicators of the ‘impact’, ‘influence’ or ‘quality’ of scholarly work, derived from citation data, i.e. data on references cited in footnotes or bibliographies of scholarly research publications. Such indicators are applied both in the study of scholarly communication and in the assessment of research performance. The term ‘scholarly’ comprises all domains of science and scholarship, including not only those fields that are normally denoted as science – the natural and life sciences, mathematical and technical sciences – but also social sciences and humanities.
Anti-Spam Measures : Analysis and Design
The goal of this book is the methodical analysis of the potential, limitations, advantages, and drawbacks of anti-spam measures. These determine to which extent the measures can contribute to the reduction of spam in the long run. The range of considered anti-spam measures includes legislative, organizational, behavioral and technological ones. Furthermore, the conceptual development and analysis of an infrastructural email framework that features such a complementary application, is pointed out. The technological and organizational facets, the framework is analyzed twofold: its theoretical effectiveness is assessed with the aid of the formal model mentioned above, its storage and traffic requirements are analyzed quantitatively.
Adaptive Autonomous Secure Cyber Systems
Establishes scientific foundations for adaptive autonomous cyber systems and ultimately brings about a more secure and reliable Internet. The recent advances in adaptive cyber defense (ACD) have developed a range of new ACD techniques and methodologies for reasoning in an adaptive environment.
Clinical oral anatomy : A comprehensive review for dental practitioners and researchers
Presents the most current and comprehensive review of oral anatomy for clinicians and researchers alike. In 26 chapters, the reader is taken on a unique anatomical journey, starting with the oral fissure, continuing via the maxilla and mandible to the tongue and floor of the mouth, and concluding with the temporomandibular joint and masticatory muscles. Each chapter offers a detailed description of the relevant anatomical structures and their spatial relationships, provides quantitative morphological assessments, and explains the relevance of the region for clinical dentistry. All dental health care professionals require a sound knowledge of anatomy for the purposes of diagnostics, treatment planning, and therapeutic intervention. A full understanding of the relationship between anatomy and clinical practice is the ultimate objective, and this book will enable the reader to achieve such understanding as the basis for provision of the best possible treatment for each individual patient as well as recognition and comprehension of unexpected clinical findings.
Mathematical and Statistical Methods in Insurance and Finance
The interaction between mathematicians and statisticians reveals to be an effective approach to the analysis of insurance and financial problems, in particular in an operative perspective. The Maf2006 conference, held at the University of Salerno in 2006, had precisely this purpose and the collection here published gathers some of the papers presented at the conference and successively worked out to this aim. They cover a wide variety of subjects in insurance and financial fields, all treated in light of the successful cooperation between the two quantitative methods.
Marketing effectiveness and accountability in SMEs : A multimethodological approach
Sheds light on marketing effectiveness and accountability marketing in small and medium-sized enterprises (SMEs). Using a multi-method investigation, it includes a knowledge inquiry of marketing knowledge and customer knowledge, a qualitative inquiry utilizing semi structured interviews and thematic data analysis, a quantitative analysis utilizing survey and structural equations modelling, and a case study that employs both narrative (storytelling) data analysis and an accountability audit with a techno marketing SME.
Managerial Uses of Accounting Information
“Joel Demski’s book is an excellent book in accounting that provides an insightful and comprehensive study on managerial accounting using issues through a new approach based on economic theory and quantitative methods. … this book is very insightful and worth reading. The book is recommended as teaching and research material since it motivates readers to study thoughtfully the philosophy and principles of managerial accounting, in addition addressing how to solve managerial problems based on accounting information.”
Logistics Systems : Design and Optimization
In a context of global competition, the optimization of logistics systems is inescapable. LOGISTICS SYSTEMS: Design and Optimization falls within this perspective and presents twelve chapters that well illustrate the variety and the complexity of logistics activities. Each chapter is written by recognized researchers who have been commissioned to survey a specific topic or emerging area of logistics. The first chapter, by Riopel, Langevin, and Campbell, develops a framework for the entire book. It classifies logistics decisions and highlights the relevant linkages to logistics decisions. The intricacy of these linkages demonstrates how thoroughly the decisions are interrelated and underscores the complexity of managing logistics activities. Each of the following chapters focus on quantitative methods for the design and optimization of logistics systems.
Just-in-Time Scheduling : Models and Algorithms for Computer and Manufacturing Systems
As the field of Supply Chain Management has matured, maintaining the precise flow of goods to maintain schedules (hence, minimizing inventories) on a just-in-time basis still remains as a major challenge. This problem or challenge has resulted in a fair amount of quantitative research in the area, producing an array of models and algorithms to help ensure the precise flow of components and final products into inventories to meet just-in-time requirements.The scheduling models and algorithms presented and illustrated in the book will be done so in the context of extensive use of computer systems in a "real time context.
Bond Portfolio Optimization
1 The tools of modern portfolio theory are in general use in the equity markets, either in the form of portfolio optimization software or as an accepted frame- 2 work in which the asset managers think about stock selection. In the ?xed income market on the other hand, these tools seem irrelevant or inapplicable. Bond portfolios are nowadays mainly managed by a comparison of portfolio 3 4 risk measures vis ¶a vis a benchmark. The portfolio manager’s views about the future evolution of the term structure of interest rates translate th- selves directly into a positioning relative to his benchmark, taking the risks of these deviations from the benchmark into account only in a very crude 5 fashion, i.e. without really quantifying them probabilistically. This is quite surprising since sophisticated models for the evolution of interest rates are commonly used for interest rate derivatives pricing and the derivation of ?xed 6 income risk measures.
Blockchain and crypto currency : Building a high quality marketplace for crypto data
This book contributes to the creation of a cyber ecosystem supported by blockchain technology in which technology and people can coexist in harmony. Blockchains have shown that trusted records, or ledgers, of permanent data can be stored on the Internet in a decentralized manner.
Bio-inspired credit risk analysis : Computational intelligence with support vector machines
Credit risk analysis is one of the most important topics in the field of financial risk management. Due to recent financial crises and regulatory concern of Basel II, credit risk analysis has been the major focus of financial and banking industry. Especially for some credit-granting institutions such as commercial banks and credit companies, the ability to discriminate good customers from bad ones is crucial. The need for reliable quantitative models that predict defaults accurately is imperative so that the interested parties can take either preventive or corrective action. Hence credit risk analysis becomes very important for sustainability and profit of enterprises. In such backgrounds, this book tries to integrate recent emerging support vector machines and other computational intelligence techniques that replicate the principles of bio-inspired information processing to create some innovative methodologies for credit risk analysis and to provide decision support information for interested parties.
