This text works to establish essential foundations and guidelines in the current process of providing strategies, mechanisms and resources for mitigating loss and damage from the adverse impacts of climate change and climate variability. This builds on the groundwork done by the UNFCCC and other entities to facilitate the processes at the international level, pursuing a pragmatic approach and the objective specification of relevant frameworks for further actions. The primary goal is the development of integrated approaches to the assessment and reduction of loss and damage due to climate change (including climate variability), encompassing both economic and legal dimensions. The publication is aimed at readers in top-level policymaking and strategy development on the national and international level, as well as academia.

A clear, concise and vivid account of the process of photosynthesis is presented in this enlarged and fully revised sixth edition. The attractive presentation of this book, including the frequent use of line illustrations and color plates, leads the reader into a fascinating introduction to this sometimes complex topic. The details of photosynthetic processes at the macro and molecular level are discussed based on the results of biochemical, biophysical, and genetic studies. The role of photosynthesis in food production and in the global environment are also highlighted. To aid students in their practical work, a set of simple experiments are described and explained. A comprehensive further reading list is included. Although aimed primarily at undergraduate students in all fields of biological sciences, Photosynthesis will also appeal to the advanced school biology student and to all teachers in biological disciplines.

Powerful, independent recipes to build deep learning models in different application areas using R libraries About This Book * Master intricacies of R deep learning packages such as mxnet & tensorflow * Learn application on deep learning in different domains using practical examples from text, image and speech * Guide to set-up deep learning models using CPU and GPU Who This Book Is For Data science professionals or analysts who have performed machine learning tasks and now want to explore deep learning and want a quick reference that could address the pain points while implementing deep learning. Those who wish to have an edge over other deep learning professionals will find this book quite useful. What You Will Learn * Build deep learning models in different application areas using TensorFlow, H2O, and MXnet. * Analyzing a Deep boltzmann machine * Setting up and Analysing Deep belief networks * Building supervised model using various machine learning algorithms * Set up variants of basic convolution function * Represent data using Autoencoders. * Explore generative models available in Deep Learning. * Discover sequence modeling using Recurrent nets * Learn fundamentals of Reinforcement Leaning * Learn the steps involved in applying Deep Learning in text mining * Explore application of deep learning in signal processing * Utilize Transfer learning for utilizing pre-trained model * Train a deep learning model on a GPU In Detail Deep Learning is the next big thing. It is a part of machine learning. It's favorable results in applications with huge and complex data is remarkable. Simultaneously, R programming language is very popular amongst the data miners and statisticians. This book will help you to get through the problems that you face during the execution of different tasks and Understand hacks in deep learning, neural networks, and advanced machine learning techniques. It will also take you through complex deep learning algorithms and various deep learning packages and libraries in R. It will be starting with different packages in Deep Learning to neural networks and structures. You will also encounter the applications in text mining and processing along with a comparison between CPU and GPU performance. By the end of the book, you will have a logical understanding of Deep learning and different deep learning packages to have the most appropriate solutions for your problems. Style and approach Collection of hands-on recipes that would act as your all-time reference for your deep learning needs

Increase speed and performance of your applications with efficient data structures and algorithms About This Book * See how to use data structures such as arrays, stacks, trees, lists, and graphs through real-world examples * Find out about important and advanced data structures such as searching and sorting algorithms * Understand important concepts such as big-o notation, dynamic programming, and functional data structured Who This Book Is For This book is for R developers who want to use data structures efficiently. Basic knowledge of R is expected. What You Will Learn * Understand the rationality behind data structures and algorithms * Understand computation evaluation of a program featuring asymptotic and empirical algorithm analysis * Get to know the fundamentals of arrays and linked-based data structures * Analyze types of sorting algorithms * Search algorithms along with hashing * Understand linear and tree-based indexing * Be able to implement a graph including topological sort, shortest path problem, and Prim's algorithm * Understand dynamic programming (Knapsack) and randomized algorithms In Detail In this book, we cover not only classical data structures, but also functional data structures. We begin by answering the fundamental question: why data structures? We then move on to cover the relationship between data structures and algorithms, followed by an analysis and evaluation of algorithms. We introduce the fundamentals of data structures, such as lists, stacks, queues, and dictionaries, using real-world examples. We also cover topics such as indexing, sorting, and searching in depth. Later on, you will be exposed to advanced topics such as graph data structures, dynamic programming, and randomized algorithms. You will come to appreciate the intricacies of high performance and scalable programming using R. We also cover special R data structures such as vectors, data frames, and atomic vectors. With this easy-to-read book, you will be able to understand the power of linked lists, double linked lists, and circular linked lists. We will also explore the application of binary search and will go in depth into sorting algorithms such as bubble sort, selection sort, insertion sort, and merge sort. Style and approach This easy-to-read book with its fast-paced nature will improve the productivity of an R programmer and improve the performance of R applications. It is packed with real-world examples.

'Widening Horizons for Educating the Gifted and General Education' is an eye-opening and inspiring guidebook for educators worldwide - school teachers, teacher educators, researchers, educational policy makers and administrators, and given its simple and lucid style, also parents. The book examines vital issues that are relevant not only for 'education of the gifted' but also for 'education in general' and 'widens horizons' regarding both. 200 out of every 1000 children (who together constitute children who are in the top 10% of their age group on any ability) are gifted in some important way and can make outstanding contributions in various fields. But because most schools focus on the 'average' child, the rights and needs of gifted children are ignored, resulting in failure to identify, understand and nurture their talents adequately. As a result, by the time these children leave school much of their talents are lost, often irrevocably, both to themselves and to society. In this enlightening book, Dr. Rao examines comprehensively and in depth the myriad aspects of gifted child education. She also critiques in Chapter 6 gifted programs in her own native India. This serves as an in-depth example, of global value, of what schools are doing in theory and practice to address the educational needs of the gifted. Also very importantly, this critique has been made against the backdrop of 'education in general' and the views on education of Indian seer philosophers. This brings to the fore some serious, fundamental lacunae in educational systems all over the world which have led to the lop-sided development of both individuals and societies. This illuminating critique takes the book beyond the boundaries of 'education for the gifted' to 'education in general' and 'widens horizons' regarding both.

Preface 1. ABC of Globalization 2. Why is Globalization Necessary? 3. Who Benefits from Globalization? 4. The Globalization Syndrome 5. Can India Survive Global Competition? 6. Marginalisation of the Poor 7. Impact of Globalization on Tribal Economy 8. Can Market Economy Survive Anti-Globalism? 9. Is Capitalism Retreating from Globalization? 10. Globalization or Monopolisation? 11. Emergence of Electronic Capitalism 12. Rise of Mass Media 13. Pliant Journalism 14. Globalization or Neo-Imperialism? 15. Globalization Masks U.S. Imperialism 16. Victors Gobble the Sinews of Globalization 17. Neo-Imperialism's Hegemonism 18. New Resistances to Globalization 19. Globalization and Micro Movements Bibliography Index

This book is a symptom-oriented guide to clinical medicine for trainees. Comprising 40 chapters and ordered alphabetically, this new edition covers the diagnosis and management of a multitude of diseases and disorders, from Abnormal Involuntary Movements and Acute Abdominal Pain, to Vomiting and Weight Loss. The fourth edition has been fully revised to present trainees with the latest advances in the field, and includes three new topics - Abnormal Involuntary Movements, Incontinence, and Sleep Disorders. The thorough text features numerous illustrations and algorithms highlighting key points to assist learning. The book concludes with an appendices section covering Electrocardiography, HIV/AIDS, Toxicology, Laboratory Reference Values, and Organ Function Tests; as well as a comprehensive bibliography for further reading. Key points Symptom-oriented guide to clinical medicine for trainees Fully revised new edition covering numerous diseases and disorders, ordered alphabetically Highly illustrated with diagrams and algorithms to assist learning Previous edition (9789351523109) published in 2015

This is a reproduction of a book published before 1923. This book may have occasional imperfections such as missing or blurred pages, poor pictures, errant marks, etc. that were either part of the original artifact, or were introduced by the scanning process. We believe this work is culturally important, and despite the imperfections, have elected to bring it back into print as part of our continuing commitment to the preservation of printed works worldwide. We appreciate your understanding of the imperfections in the preservation process, and hope you enjoy this valuable book.