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In an age where the amount of data collected from brain imaging is increasing constantly, it is of critical importance to analyse those data within an accepted framework to ensure proper integration and comparison of the information collected. This book describes the ideas and procedures that underlie the analysis of signals produced by the brain. The aim is to understand how the brain works, in terms of its functional architecture and dynamics. This book provides the background and methodology for the analysis of all types of brain imaging data, from functional magnetic resonance imaging to magnetoencephalography. Critically, Statistical Parametric Mapping provides a widely accepted conceptual framework which allows treatment of all these different modalities. This rests on an understanding of the brain's functional anatomy and the way that measured signals are caused experimentally. The book takes the reader from the basic concepts underlying the analysis of neuroimaging data to cutting edge approaches that would be difficult to find in any other source. Critically, the material is presented in an incremental way so that the reader can understand the precedents for each new development. This book will be particularly useful to neuroscientists engaged in any form of brain mapping; who have to contend with the real-world problems of data analysis and understanding the techniques they are using. It is primarily a scientific treatment and a didactic introduction to the analysis of brain imaging data. It can be used as both a textbook for students and scientists starting to use the techniques, as well as a reference for practicing neuroscientists. The book also serves as a companion to the software packages that have been developed for brain imaging data analysis. - An essential reference and companion for users of the SPM software - Provides a complete description of the concepts and procedures entailed by the analysis of brain images - Offers full didactic treatment of the basic mathematics behind the analysis of brain imaging data - Stands as a compendium of all the advances in neuroimaging data analysis over the past decade - Adopts an easy to understand and incremental approach that takes the reader from basic statistics to state of the art approaches such as Variational Bayes - Structured treatment of data analysis issues that links different modalities and models - Includes a series of appendices and tutorial-style chapters that makes even the most sophisticated approaches accessible
In modern medicine, imaging is the most effective tool for diagnostics, treatment planning and therapy. Almost all modalities have went to directly digital acquisition techniques and processing of this image data have become an important option for health care in future. This book is written by a team of internationally recognized experts from all over the world. It provides a brief but complete overview on medical image processing and analysis highlighting recent advances that have been made in academics. Color figures are used extensively to illustrate the methods and help the reader to understand the complex topics.
Not everyone is a friend of the manifold abbreviations that have by now beCome a part of the scientific language of medicine. In order to avoid misunderstanding these abbreviations, it is wise to refer to a reliable dic tionary, such as this one prepared by Heister. The abbreviation ED means, for instance, effective dose to the pharmacologist. However, it might also stand for emetic dose. Radiologists use the same abbreviation for erythema dose, and ED could also mean ethyl dichlorarsine. A com mon meaning of ECU is European currency unit, a meaning that might not be very often in scientific medical publications. ECU, however, also means environmental control unit or European Chiropractic Union. Hopefully, those making inventions and discoveries will make use of Heister's dictionary before creating new abbreviations when preparing manuscripts for scientific publications. It is a very worthwhile goal not to use the same abbreviation for several different terms, especially if it is already widely accepted to mean only one of them. It may be impossible, however, to achieve this goal in different scientific disciplines. Therefore, although it is wise for the abbreviations used in a publication to be defined, it is also very helpful for readers and writers to use a dictionary such as this one. The author deserves our warmest thanks since we know that compiling such a comprehensive dictionary is based upon incredibly hard effort.
This book introduces particle physics, astrophysics and cosmology. Starting from an experimental perspective, it provides a unified view of these fields that reflects the very rapid advances being made. This new edition has a number of improvements and has been updated to describe the recent discovery of gravitational waves and astrophysical neutrinos, which started the new era of multimessenger astrophysics; it also includes new results on the Higgs particle. Astroparticle and particle physics share a common problem: we still don’t have a description of the main ingredients of the Universe from the point of view of its energy budget. Addressing these fascinating issues, and offering a balanced introduction to particle and astroparticle physics that requires only a basic understanding of quantum and classical physics, this book is a valuable resource, particularly for advanced undergraduate students and for those embarking on graduate courses. It includes exercises that offer readers practical insights. It can be used equally well as a self-study book, a reference and a textbook.
Nanoparticles for Gene Delivery into Stem Cells and Embryos, by Pallavi Pushp, Rajdeep Kaur, Hoon Taek Lee, Mukesh Kumar Gupta. Engineering of Polysaccharides via Nanotechnology, by Joydeep Dutta. Hydroxyapatite-Packed Chitosan-PMMA Nanocomposite: A Promising Material for Construction of Synthetic Bone, by Arundhati Bhowmick, Subhash Banerjee, Ratnesh Kumar, Patit Paban Kundu. Biodegradable Polymers for Potential Delivery Systems for Therapeutics, by Sanjeev K. Pandey, Chandana Haldar, Dinesh K. Patel, Pralay Maiti. Phytomedicine-Loaded Polymeric Nanomedicines: Potential Cancer Therapeutics, by S. Maya, M. Sabitha, Shantikumar V. Nair, R. Jayakumar. Proteins and Carbohydrates as Polymeric Nanodrug Delivery Systems: Formulation, Properties and Toxicological Evaluation, by Dhanya Narayanan, J. Gopikrishna, Shantikumar V. Nair, Deepthy Menon. Biopolymeric Micro and Nanoparticles: Preparation, Characterization and Industrial Applications, by Anil Kumar Anal, Alisha Tuladhar. Applications of Glyconanoparticles as “Sweet” Glycobiological Therapeutics and Diagnostics, by Naresh Kottari, Yoann M. Chabre, Rishi Sharma, René Roy.
This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 5th International Conference on ICT for Sustainable Development (ICT4SD 2020), held in Goa, India, on 23–24 July 2020. The conference provided a valuable forum for cutting-edge research discussions among pioneering researchers, scientists, industrial engineers, and students from all around the world. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.
Co-Synthesis of Hardware and Software for Digital Embedded Systems, with a Foreword written by Giovanni De Micheli, presents techniques that are useful in building complex embedded systems. These techniques provide a competitive advantage over purely hardware or software implementations of time-constrained embedded systems. Recent advances in chip-level synthesis have made it possible to synthesize application-specific circuits under strict timing constraints. This work advances the state of the art by formulating the problem of system synthesis using both application-specific as well as reprogrammable components, such as off-the-shelf processors. Timing constraints are used to determine what part of the system functionality must be delegated to dedicated application-specific hardware while the rest is delegated to software that runs on the processor. This co-synthesis of hardware and software from behavioral specifications makes it possible to realize real-time embedded systems using off-the-shelf parts and a relatively small amount of application-specific circuitry that can be mapped to semi-custom VLSI such as gate arrays. The ability to perform detailed analysis of timing performance provides the opportunity of improving the system definition by creating better phototypes. Co-Synthesis of Hardware and Software for Digital Embedded Systems is of interest to CAD researchers and developers who want to branch off into the expanding field of hardware/software co-design, as well as to digital system designers who are interested in the present power and limitations of CAD techniques and their likely evolution.
This book presents selected papers from the 3rd International Conference on Micro-Electronics and Telecommunication Engineering, held at SRM Institute of Science and Technology, Ghaziabad, India, on 30-31 August 2019. It covers a wide variety of topics in micro-electronics and telecommunication engineering, including micro-electronic engineering, computational remote sensing, computer science and intelligent systems, signal and image processing, and information and communication technology.