Independent Component Analysis A Complete Guide 2020 Edition

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Independent Component Analysis

Author : James V. Stone
Publisher : MIT Press
ISBN 13 : 9780262693158
Total Pages : 224 pages
Book Rating : 4.6/5 (931 download)

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Book Synopsis Independent Component Analysis by : James V. Stone

Download or read book Independent Component Analysis written by James V. Stone and published by MIT Press. This book was released on 2004 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: A tutorial-style introduction to a class of methods for extracting independent signals from a mixture of signals originating from different physical sources; includes MatLab computer code examples. Independent component analysis (ICA) is becoming an increasingly important tool for analyzing large data sets. In essence, ICA separates an observed set of signal mixtures into a set of statistically independent component signals, or source signals. In so doing, this powerful method can extract the relatively small amount of useful information typically found in large data sets. The applications for ICA range from speech processing, brain imaging, and electrical brain signals to telecommunications and stock predictions. In Independent Component Analysis, Jim Stone presents the essentials of ICA and related techniques (projection pursuit and complexity pursuit) in a tutorial style, using intuitive examples described in simple geometric terms. The treatment fills the need for a basic primer on ICA that can be used by readers of varying levels of mathematical sophistication, including engineers, cognitive scientists, and neuroscientists who need to know the essentials of this evolving method. An overview establishes the strategy implicit in ICA in terms of its essentially physical underpinnings and describes how ICA is based on the key observations that different physical processes generate outputs that are statistically independent of each other. The book then describes what Stone calls "the mathematical nuts and bolts" of how ICA works. Presenting only essential mathematical proofs, Stone guides the reader through an exploration of the fundamental characteristics of ICA. Topics covered include the geometry of mixing and unmixing; methods for blind source separation; and applications of ICA, including voice mixtures, EEG, fMRI, and fetal heart monitoring. The appendixes provide a vector matrix tutorial, plus basic demonstration computer code that allows the reader to see how each mathematical method described in the text translates into working Matlab computer code.

Comprehensive Chemometrics

Author : Steven Brown
Publisher : Elsevier
ISBN 13 : 0444641661
Total Pages : 2948 pages
Book Rating : 4.4/5 (446 download)

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Book Synopsis Comprehensive Chemometrics by : Steven Brown

Download or read book Comprehensive Chemometrics written by Steven Brown and published by Elsevier. This book was released on 2020-05-26 with total page 2948 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive Chemometrics, Second Edition, Four Volume Set features expanded and updated coverage, along with new content that covers advances in the field since the previous edition published in 2009. Subject of note include updates in the fields of multidimensional and megavariate data analysis, omics data analysis, big chemical and biochemical data analysis, data fusion and sparse methods. The book follows a similar structure to the previous edition, using the same section titles to frame articles. Many chapters from the previous edition are updated, but there are also many new chapters on the latest developments. Presents integrated reviews of each chemical and biological method, examining their merits and limitations through practical examples and extensive visuals Bridges a gap in knowledge, covering developments in the field since the first edition published in 2009 Meticulously organized, with articles split into 4 sections and 12 sub-sections on key topics to allow students, researchers and professionals to find relevant information quickly and easily Written by academics and practitioners from various fields and regions to ensure that the knowledge within is easily understood and applicable to a large audience Presents integrated reviews of each chemical and biological method, examining their merits and limitations through practical examples and extensive visuals Bridges a gap in knowledge, covering developments in the field since the first edition published in 2009 Meticulously organized, with articles split into 4 sections and 12 sub-sections on key topics to allow students, researchers and professionals to find relevant information quickly and easily Written by academics and practitioners from various fields and regions to ensure that the knowledge within is easily understood and applicable to a large audience

Enhanced Learning and Teaching via Neuroscience

Author : Lorna Uden
Publisher : Frontiers Media SA
ISBN 13 : 2832539211
Total Pages : 132 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Enhanced Learning and Teaching via Neuroscience by : Lorna Uden

Download or read book Enhanced Learning and Teaching via Neuroscience written by Lorna Uden and published by Frontiers Media SA. This book was released on 2023-11-15 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neuroscience contributes to the basic understanding of the neural mechanisms underlying human development and learning. Educational neuroscience is an interdisciplinary research ﬁeld that seeks to translate research ﬁndings on neural mechanisms of learning to educational practice and policy and to understand the effects of education on the brain. It is an emerging multidisciplinary field where the aim is to link basic research in neuroscience, psychology, and cognitive science, with educational technology. Educational neuroscience is often associated with the ‘science’ of learning and encompasses a broad range of scientific disciplines, from basic neuroscience to cognitive psychology to computer science to social theory. It is an interdisciplinary research field that seeks to translate research findings on neural mechanisms of learning to educational practice and policy and to understand the effects of education on the brain. Neuroscience research usually focuses only on learning, but there is a developing subfield within neuroscience called “Mind, Brain and Education” (MBE) that attempts to link research with teaching. MBE researchers consider how to take advantage of the natural human attention span, how to use studies about memory systems to inform lesson planning, and how to use research on the role of emotions in learning. In neuroscience research, progress has been extraordinary, including advances in both understanding and technology. Scientists from a wide range of disciplines are being attracted to the challenge of understanding the brain. In spite of discoveries regarding the structure of the brain, we still do not understand how the nervous system allows us to see, hear, learn, remember, and plan certain actions. Educators and schools around the globe are increasingly relying on the knowledge, techniques, and programs developed based on a new understanding of how our brains work. This knowledge is being applied to the classroom. A growing amount of attention is being paid to neuroscience and how the results of empirical research may be used to help individuals learn more effectively. In this Research Topic, academic scientists, researchers, and scholars will share their experiences and research results on all aspects of brain-based learning and educational neuroscience. Furthermore, it provides a premier interdisciplinary platform for researchers, practitioners, and educators to present the latest developments, trends, and concerns. In addition, it discusses practical challenges encountered and solutions adopted in the field of Educational Neuroscience. The focus of this Research Topic is to bring together academic scientists, researchers, and scholars to exchange and share their experiences and research findings related to brain-based learning and educational neuroscience. Researchers, practitioners, and educators will also be able to present and discuss the newest innovations, trends, and concerns. This will include practical challenges encountered and solutions adopted in Educational Neuroscience as well as in related fields. All original and unpublished papers describing conceptual, constructive, empirical, experimental, or theoretical work in any area of Brain Based Learning and Educational Neuroscience or studies that explore the intersections between neuroscience, psychology, and education are highly encouraged. Aspects, topics, and critical issues of interest include, but are not limited to: neuroscience applications in enhanced-learning, how students learn mathematics and language, personal motivation, social and emotional learning, motivation, the biology of learning, brain functions and information processing, and many others.

Feature and Dimensionality Reduction for Clustering with Deep Learning

Author : Frederic Ros
Publisher : Springer Nature
ISBN 13 : 3031487435
Total Pages : 273 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Feature and Dimensionality Reduction for Clustering with Deep Learning by : Frederic Ros

Download or read book Feature and Dimensionality Reduction for Clustering with Deep Learning written by Frederic Ros and published by Springer Nature. This book was released on 2024-01-22 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an overview of recent methods of feature selection and dimensionality reduction that are based on Deep Neural Networks (DNNs) for a clustering perspective, with particular attention to the knowledge discovery question. The authors first present a synthesis of the major recent influencing techniques and "tricks" participating in recent advances in deep clustering, as well as a recall of the main deep learning architectures. Secondly, the book highlights the most popular works by “family” to provide a more suitable starting point from which to develop a full understanding of the domain. Overall, the book proposes a comprehensive up-to-date review of deep feature selection and deep clustering methods with particular attention to the knowledge discovery question and under a multi-criteria analysis. The book can be very helpful for young researchers, non-experts, and R&D AI engineers.

The Senses: A Comprehensive Reference

Author :
Publisher : Academic Press
ISBN 13 : 0128054093
Total Pages : 5215 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis The Senses: A Comprehensive Reference by :

Download or read book The Senses: A Comprehensive Reference written by and published by Academic Press. This book was released on 2020-09-30 with total page 5215 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Senses: A Comprehensive Reference, Second Edition, Seven Volume Set is a comprehensive reference work covering the range of topics that constitute current knowledge of the neural mechanisms underlying the different senses. This important work provides the most up-to-date, cutting-edge, comprehensive reference combining volumes on all major sensory modalities in one set. Offering 264 chapters from a distinguished team of international experts, The Senses lays out current knowledge on the anatomy, physiology, and molecular biology of sensory organs, in a collection of comprehensive chapters spanning 4 volumes. Topics covered include the perception, psychophysics, and higher order processing of sensory information, as well as disorders and new diagnostic and treatment methods. Written for a wide audience, this reference work provides students, scholars, medical doctors, as well as anyone interested in neuroscience, a comprehensive overview of the knowledge accumulated on the function of sense organs, sensory systems, and how the brain processes sensory input. As with the first edition, contributions from leading scholars from around the world will ensure The Senses offers a truly international portrait of sensory physiology. The set is the definitive reference on sensory neuroscience and provides the ultimate entry point into the review and original literature in Sensory Neuroscience enabling students and scientists to delve into the subject and deepen their knowledge. All-inclusive coverage of topics: updated edition offers readers the only current reference available covering neurobiology, physiology, anatomy, and molecular biology of sense organs and the processing of sensory information in the brain Authoritative content: world-leading contributors provide readers with a reputable, dynamic and authoritative account of the topics under discussion Comprehensive-style content: in-depth, complex coverage of topics offers students at upper undergraduate level and above full insight into topics under discussion

Gene and Environment Interactions in Neurodevelopmental Disorders

Author : Lorenzo More
Publisher : Frontiers Media SA
ISBN 13 : 2889749827
Total Pages : 146 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Gene and Environment Interactions in Neurodevelopmental Disorders by : Lorenzo More

Download or read book Gene and Environment Interactions in Neurodevelopmental Disorders written by Lorenzo More and published by Frontiers Media SA. This book was released on 2022-04-25 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data-Driven and Model-Based Methods for Fault Detection and Diagnosis

Author : Majdi Mansouri
Publisher : Elsevier
ISBN 13 : 0128191651
Total Pages : 324 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Data-Driven and Model-Based Methods for Fault Detection and Diagnosis by : Majdi Mansouri

Download or read book Data-Driven and Model-Based Methods for Fault Detection and Diagnosis written by Majdi Mansouri and published by Elsevier. This book was released on 2020-02-05 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-Driven and Model-Based Methods for Fault Detection and Diagnosis covers techniques that improve the quality of fault detection and enhance monitoring through chemical and environmental processes. The book provides both the theoretical framework and technical solutions. It starts with a review of relevant literature, proceeds with a detailed description of developed methodologies, and then discusses the results of developed methodologies, and ends with major conclusions reached from the analysis of simulation and experimental studies. The book is an indispensable resource for researchers in academia and industry and practitioners working in chemical and environmental engineering to do their work safely. - Outlines latent variable based hypothesis testing fault detection techniques to enhance monitoring processes represented by linear or nonlinear input-space models (such as PCA) or input-output models (such as PLS) - Explains multiscale latent variable based hypothesis testing fault detection techniques using multiscale representation to help deal with uncertainty in the data and minimize its effect on fault detection - Includes interval PCA (IPCA) and interval PLS (IPLS) fault detection methods to enhance the quality of fault detection - Provides model-based detection techniques for the improvement of monitoring processes using state estimation-based fault detection approaches - Demonstrates the effectiveness of the proposed strategies by conducting simulation and experimental studies on synthetic data

Statistical Learning Using Neural Networks

Author : Basilio de Braganca Pereira
Publisher : CRC Press
ISBN 13 : 0429775555
Total Pages : 234 pages
Book Rating : 4.4/5 (297 download)

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Book Synopsis Statistical Learning Using Neural Networks by : Basilio de Braganca Pereira

Download or read book Statistical Learning Using Neural Networks written by Basilio de Braganca Pereira and published by CRC Press. This book was released on 2020-09-01 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks starting from the basics and increasingly demanding more effort from readers, who can learn the theory and its applications in statistical methods with concrete Python code examples. It presents a wide range of widely used statistical methodologies, applied in several research areas with Python code examples, which are available online. It is suitable for scientists and developers as well as graduate students. Key Features: Discusses applications in several research areas Covers a wide range of widely used statistical methodologies Includes Python code examples Gives numerous neural network models This book covers fundamental concepts on Neural Networks including Multivariate Statistics Neural Networks, Regression Neural Network Models, Survival Analysis Networks, Time Series Forecasting Networks, Control Chart Networks, and Statistical Inference Results. This book is suitable for both teaching and research. It introduces neural networks and is a guide for outsiders of academia working in data mining and artificial intelligence (AI). This book brings together data analysis from statistics to computer science using neural networks.

Intracranial EEG

Author : Nikolai Axmacher
Publisher : Springer Nature
ISBN 13 : 3031209109
Total Pages : 909 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Intracranial EEG by : Nikolai Axmacher

Download or read book Intracranial EEG written by Nikolai Axmacher and published by Springer Nature. This book was released on 2023-08-01 with total page 909 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers the first, comprehensive guide to planning and conducting intracranial EEG studies, and analyzing intracranial EEG data. The chapters address core questions in the field of intracranial EEG research. They are written by internationally recognized experts in the domain of intracranial EEG and acknowledge the heterogeneity of approaches in this field. The particular format of the book allows readers to find clear guidelines, hands-on expertise and invaluable background information for planning and conducting state-of-the-art intracranial EEG research projects. Besides offering a reference guide to newcomers in the field, it also provides scholarly information for the more experienced researcher and inspiration for the expert. The book covers a wide range of topics, with a special emphasis on aspects in which intracranial EEG data differ from other types of data in the cognitive neurosciences. It discusses typical patient characteristics and implantation schemes, ethical issues, and practical considerations for planning and running intracranial EEG experiments. It addresses signal characteristics and the physiological background of oscillatory and non-oscillatory aspects of intracranial EEG signals. It describes complex pre-processing steps such as advantages and disadvantages of different referencing schemes, and how to identify the location of electrodes. In addition, it answers specific questions on data processing, addressing core aspects of statistical analysis, and suggesting guidelines for data presentation. Further, it covers advanced topics such as causal interventions (i.e. deep brain stimulation), acquisition and analysis of single-unit data and multimodal recordings, and discusses important future challenges and opportunities in the field of intracranial EEG research.

Satellite Remote Sensing of Terrestrial Hydrology

Author : Christopher Ndehedehe
Publisher : Springer Nature
ISBN 13 : 3030995771
Total Pages : 689 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Satellite Remote Sensing of Terrestrial Hydrology by : Christopher Ndehedehe

Download or read book Satellite Remote Sensing of Terrestrial Hydrology written by Christopher Ndehedehe and published by Springer Nature. This book was released on 2022-07-15 with total page 689 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights several opportunities that exist in satellite remote sensing of large-scale terrestrial hydrology. It lays bare the novel concept of remote sensing hydrology and demonstrates key applications of advance satellite technology and new methods in advancing our fundamental understanding of environmental systems. This includes, using state-of-the-art satellite hydrology missions like the Gravity Recovery and Climate Experiment and other multi-mission satellite systems as important tools that underpin water resources planning and accounting. This book discusses and demonstrates how the efficacy, simplicity, and sophistication in novel computing platforms for big earth observation data can help facilitate environmental monitoring and improve contemporary understanding of climate change impacts on freshwater resources. It also provides opportunities for practitioners and relevant government agencies to leverage satellite-based information in a transdisciplinary context to address several environmental issues affecting society. This book provides a general framework and highlights methods to help improve our understanding of hydrological processes and impact analysis from extreme events (e.g., droughts, floods) and climate change.

Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications

Author : José Manuel Ferrández Vicente
Publisher : Springer Nature
ISBN 13 : 3031062426
Total Pages : 675 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications by : José Manuel Ferrández Vicente

Download or read book Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications written by José Manuel Ferrández Vicente and published by Springer Nature. This book was released on 2022-05-24 with total page 675 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNCS 13258 and 13259 constitutes the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, held in Puerto de la Cruz, Tenerife, Spain in May – June 2022. The total of 121 contributions was carefully reviewed and selected from 203 submissions. The papers are organized in two volumes, with the following topical sub-headings: Part I: Machine Learning in Neuroscience; Neuromotor and Cognitive Disorders; Affective Analysis; Health Applications, Part II: Affective Computing in Ambient Intelligence; Bioinspired Computing Approaches; Machine Learning in Computer Vision and Robot; Deep Learning; Artificial Intelligence Applications.

MEG-EEG Primer

Author : Riitta Hari
Publisher : Oxford University Press
ISBN 13 : 0197542182
Total Pages : 481 pages
Book Rating : 4.1/5 (975 download)

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Book Synopsis MEG-EEG Primer by : Riitta Hari

Download or read book MEG-EEG Primer written by Riitta Hari and published by Oxford University Press. This book was released on 2023 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Neuronal communication in the brain is associated with minute electrical currents that give rise to both electrical potentials on the scalp (measurable by means of electroencephalography [EEG]) and magnetic fields outside the head (measurable by means of magnetoencephalography [MEG]). Both MEG and EEG are noninvasive neurophysiological methods used to study brain dynamics, temporal changes in the activation patterns, and sequences. Their differences between MEG and EEG mainly reflect differences in the spread of electric potentials and magnetic fields generated by the same electric currents in the human brain. In this chapter, we give an overall description of the main principles of MEG and EEG, going deeper into details in the following chapters"--

Fixed Income Trading and Risk Management

Author : Alexander During
Publisher : John Wiley & Sons
ISBN 13 : 1119756332
Total Pages : 469 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Fixed Income Trading and Risk Management by : Alexander During

Download or read book Fixed Income Trading and Risk Management written by Alexander During and published by John Wiley & Sons. This book was released on 2021-03-22 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique, authoritative, and comprehensive treatment of fixed income markets Fixed Income Trading and Risk Management: The Complete Guide delivers a comprehensive and innovative exposition of fixed income markets. Written by European Central Bank portfolio manager Alexander During, this book takes a practical view of how several different national fixed income markets operate in detail. The book presents common theoretical models but adds a lot of information on the actually observed behavior of real markets. You’ll benefit from the book’s: Fulsome overview of money, credit, and monetary policy Description of cash instruments, inflation-linked debt, and credit claims Analysis of derivative instruments, standard trading strategies, and data analysis In-depth focus on risk management in fixed income markets Perfect for new and junior staff in financial institutions working in sales and trading, risk management, back office operations, and portfolio management positions, Fixed Income Trading and Risk Management also belongs on the bookshelves of research analysts and postgraduate students in finance, economics, or MBA programs.

Machine Learning for Biomedical Applications

Author : Maria Deprez
Publisher : Academic Press
ISBN 13 : 0128229055
Total Pages : 306 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Machine Learning for Biomedical Applications by : Maria Deprez

Download or read book Machine Learning for Biomedical Applications written by Maria Deprez and published by Academic Press. This book was released on 2023-09-07 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning for Biomedical Applications: With Scikit-Learn and PyTorch presents machine learning techniques most commonly used in a biomedical setting. Avoiding a theoretical perspective, it provides a practical and interactive way of learning where concepts are presented in short descriptions followed by simple examples using biomedical data. Interactive Python notebooks are provided with each chapter to complement the text and aid understanding. Sections cover uses in biomedical applications, practical Python coding skills, mathematical tools that underpin the field, core machine learning methods, deep learning concepts with examples in Keras, and much more. This accessible and interactive introduction to machine learning and data analysis skills is suitable for undergraduates and postgraduates in biomedical engineering, computer science, the biomedical sciences and clinicians. - Gives a basic understanding of the most fundamental concepts within machine learning and their role in biomedical data analysis. - Shows how to apply a range of commonly used machine learning and deep learning techniques to biomedical problems. - Develops practical computational skills needed to implement machine learning and deep learning models for biomedical data sets. - Shows how to design machine learning experiments that address specific problems related to biomedical data

Cognitive Empathy and Perspective Taking: Understanding the Mechanisms of Normal and Abnormal Experiences and Abilities

Author : Renate L. E. P. Reniers
Publisher : Frontiers Media SA
ISBN 13 : 2889764435
Total Pages : 103 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Cognitive Empathy and Perspective Taking: Understanding the Mechanisms of Normal and Abnormal Experiences and Abilities by : Renate L. E. P. Reniers

Download or read book Cognitive Empathy and Perspective Taking: Understanding the Mechanisms of Normal and Abnormal Experiences and Abilities written by Renate L. E. P. Reniers and published by Frontiers Media SA. This book was released on 2022-06-28 with total page 103 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Geographic Data Analysis Using R

Author : Xindong He
Publisher : Springer Nature
ISBN 13 : 9819740223
Total Pages : 238 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Geographic Data Analysis Using R by : Xindong He

Download or read book Geographic Data Analysis Using R written by Xindong He and published by Springer Nature. This book was released on with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computer Aided Pharmaceutics and Drug Delivery

Author : Vikas Anand Saharan
Publisher : Springer Nature
ISBN 13 : 9811651809
Total Pages : 767 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Computer Aided Pharmaceutics and Drug Delivery by : Vikas Anand Saharan

Download or read book Computer Aided Pharmaceutics and Drug Delivery written by Vikas Anand Saharan and published by Springer Nature. This book was released on 2022-05-30 with total page 767 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the role of computer-assisted techniques for discovering, designing, optimizing and manufacturing new, effective, and safe pharmaceutical formulations and drug delivery systems. The book discusses computational approaches, statistical modeling and molecular modeling for the development and safe delivery of drugs in humans. The application of concepts of QbD (Quality by Design), DoE (Design of Experiments), artificial intelligence and in silico pharmacokinetic assessment/simulation have been made a lot easier with the help of commercial software and expert systems. This title provides in-depth knowledge of such useful software with illustrations from the latest researches. The book also fills in the gap between pharmaceutics and molecular modeling at micro, meso and maro scale by covering topics such as advancements in computer-aided Drug Design (CADD), drug-polymer interactions in drug delivery systems, molecular modeling of nanoparticles and pharmaceutics/bioinformatics. This book provides abundant applications of computers in formulation designing and characterization are provided as examples, case studies and illustrations. Short reviews of software, databases and expert systems have also been added to culminate the interest of readers for novel applications in formulation development and drug delivery. Computer-aided pharmaceutics and drug delivery is an authoritative reference source for all the latest scholarly update on emerging developments in computed assisted techniques for drug designing and development. The book is ideally designed for pharmacists, medical practitioners, students and researchers.