This book collates various aspects of stress tolerance in crop plants. It primarily focuses on the heat and temperature related stress, starting from the severity of the problem on quantity and quality of yield under the threat of global climate change. The content also explores other mechanistic dimensions such as physiochemical and molecular mechanism underlying thermotolerance, signaling mechanism under heat stress, role of heat shock proteins in modulating thermotolerance, omics approach for development of climate smart-crop. Chapters discuss different approaches used in the past to develop heat stress tolerant crop plants, list of developed thermotolerant agriculturally important crop plants, redox homeostasis under heat stress, nutrient uptake and use efficiency in plants under heat stress and much more. The book is a useful compilation for researchers working in the area of abiotic stress tolerance in crop plants, as well as for students of plant physiology and agricultural sciences.

All machining process are dependent on a number of inherent process parameters. It is of the utmost importance to find suitable combinations to all the process parameters so that the desired output response is optimized. While doing so may be nearly impossible or too expensive by carrying out experiments at all possible combinations, it may be done quickly and efficiently by using computational intelligence techniques. Due to the versatile nature of computational intelligence techniques, they can be used at different phases of the machining process design and optimization process. While powerful machine-learning methods like gene expression programming (GEP), artificial neural network (ANN), support vector regression (SVM), and more can be used at an early phase of the design and optimization process to act as predictive models for the actual experiments, other metaheuristics-based methods like cuckoo search, ant colony optimization, particle swarm optimization, and others can be used to optimize these predictive models to find the optimal process parameter combination. These machining and optimization processes are the future of manufacturing. Data-Driven Optimization of Manufacturing Processes contains the latest research on the application of state-of-the-art computational intelligence techniques from both predictive modeling and optimization viewpoint in both soft computing approaches and machining processes. The chapters provide solutions applicable to machining or manufacturing process problems and for optimizing the problems involved in other areas of mechanical, civil, and electrical engineering, making it a valuable reference tool. This book is addressed to engineers, scientists, practitioners, stakeholders, researchers, academicians, and students interested in the potential of recently developed powerful computational intelligence techniques towards improving the performance of machining processes.

This book comprises select proceedings of the international conference ETAEERE 2020, and focuses on contemporary issues in energy management and energy efficiency in the context of power systems. The contents cover modeling, simulation and optimization based studies on topics like medium voltage BTB system, cost optimization of a ring frame unit in textile industry, rectenna for RF energy harvesting, ecology and energy dimension in infrastructural designs, study of AGC in two area hydro thermal power system, energy-efficient and reliable depth-based routing protocol for underwater wireless sensor network, and power line communication. This book can be beneficial for students, researchers as well as industry professionals.

1. This book traces the emergence of Indian English during national movement. 2. It is rich in archival material as it uses articles, letters and speeches of prominent Indians like Tagore, Gandhi, Raja Rammohun Roy. 3. The book will be of interest to departments of South Asian studies and Cultural Studies across UK and USA.

Since recent years, the population across the globe is increasing expeditiously; hence increasing the agricultural productivity to meet the food demands of the thriving population becomes a challenging task. Abiotic stresses pose as a major threat to agricultural productivity. Having an adequate knowledge and apprehension of the physiology and molecular biology of stress tolerance in plants is a prerequisite for counteracting the adverse effect of such stresses to a wider range. This book deals with the responses and tolerance mechanisms of plants towards various abiotic stresses. The advent of molecular biology and biotechnology has shifted the interest of researchers towards unraveling the genes involved in stress tolerance. More effort is being made to understand and pave ways for developing stress tolerance mechanisms in crop plants. Several technologies including Microarray technology, functional genomics, on gel and off gel proteomic approaches have proved to be of utmost importance by helping the physiologists, molecular biologists and biotechnologists in identifying and exploiting various stress tolerance genes and factors for enhancing stress tolerance in plants. This book would serve as an exemplary source of scientific information pertaining to abiotic stress responses and tolerance mechanisms towards various abiotic stresses. Note: T&F does not sell or distribute the Hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka.

This book presents a historical account of the development of an acrolectal variety of the English language in colonial India. It highlights the phenomenon of Indianization of the English language and its significance in the articulation of the Indian identity in pre-Independence India. This volume also discusses the sociocultural milieu in which English became the first choice for writers and political leaders. Using examples primarily from the writings of Rammohan Roy, Bankimchandra, Krupabai Satthianadhan, and Gandhi and from the speeches of Vivekananda, Tagore, and Subhas Bose, this book argues that prose written in English in the nineteenth and the early twentieth century scripted a nationalist discourse through its appropriation of the colonizer's language. It also examines how these works, which absorbed elements of Indian culture and languages, paved the path for the emergence of Indian English as a distinct dialect of the English language. This book will be useful for teachers, scholars, and students of English literature, linguistics, and cultural studies. It will also be of use to general readers interested in the history of the English language and the history of modern India.

This book provides practical insights into applications of the state-of-the-art of Machine Learning and Artificial Intelligence (AI) for solving intriguing and complex problems in procurement and supply chain management. The application domain includes perishable food supply chain, steel price prediction, electric vehicle charging infrastructure design, contract price negotiation, reverse logistics network design, and demand forecasting. Further, the book highlights the advanced topics in the procurement field, like AI in green procurement and e-procurement in the pharma sector. Furthermore, the book covers applications of well-established methodologies such as heuristics, optimization, game theory, and MCDM based on the nature of the problem. The inclusion of the vaccine supply chain digital twin and blockchain-based procurement signals the significance of the book. This book is a comprehensive guide for industry professionals to understand the power of data analytics, enabling them to improve efficiency and effectiveness in the procurement and supply chain sectors.

This book comprises select proceedings of the international conference ETAEERE 2020, and focuses on contemporary issues in energy management and energy efficiency in the context of power systems. The contents cover modeling, simulation and optimization based studies on topics like medium voltage BTB system, cost optimization of a ring frame unit in textile industry, rectenna for RF energy harvesting, ecology and energy dimension in infrastructural designs, study of AGC in two area hydro thermal power system, energy-efficient and reliable depth-based routing protocol for underwater wireless sensor network, and power line communication. This book can be beneficial for students, researchers as well as industry professionals.

Concern for reliable power supply and energy-efficient system design has led to usage of power electronics-based systems, including efficient electric power conversion and power semiconductor devices. This book provides integration of complete fundamental theory, design, simulation and application of power electronics, and drives covering up-to-date subject components. It contains twenty-one chapters arranged in four sections on power semiconductor devices, basic power electronic converters, advanced power electronics converters, power supplies, electrical drives and advanced applications. Aimed at senior undergraduate and graduate students in electrical engineering and power electronics including related professionals, this book * Includes electrical drives such as DC motor, AC motor, special motor, high performance motor drives, solar, electrical/hybrid vehicle and fuel cell drives * Reviews advances in renewable energy technologies (wind, PV, hybrid power systems) and their integration * Explores topics like distributed generation, microgrid, and wireless power transfer system * Includes simulation examples using MATLAB (R)/Simulink and over four hundred solved, unsolved and review problems

Thermoelectricity and Advanced Thermoelectric Materials reviews emerging thermoelectric materials, including skutterudites, clathrates, and half-Heusler alloys. In addition, the book discusses a number of oxides and silicides that have promising thermoelectric properties. Because 2D materials with high figures of merit have emerged as promising candidates for thermoelectric applications, this book presents an updated introduction to the field of thermoelectric materials, including recent advances in materials synthesis, device modeling, and design. Finally, the book addresses the theoretical difficulties and methodologies of computing the thermoelectric properties of materials that can be used to understand and predict highly efficient thermoelectric materials. This book is a key reference for materials scientists, physicists, and engineers in energy.

Engineering Physics is a complete textbook written for the engineering students. The book aims to provide a thorough understanding of the basic concepts, theories and principles of Engineering Physics in as easy and straight forward manner as possible, to enable the average students grasp the intricacies of the subject. Special attempts have been made to design this book, through clear concepts, proper explanations with necessary diagrams and mathematical derivations to make the book student friendly. Besides, the book covers some advanced topics such as communication systems, ultrasonic and laser technology with their wide range of applications in several fields of science, technology, industry and medicine, etc. The book not only provides a clear theoretical concept of the subject but also includes a large number of solved problems followed by unsolved problems to reinforce theoretical understanding of the concepts. Moreover, the book contains sixteen chapters and each chapter contains glossary terms, short questions, and long questions for practice. Key Features Logically organised content for sequential learning Learning outcomes at the beginning of each chapter Important concepts and generalisations highlighted in the text Chapter-end quick review

All machining process are dependent on a number of inherent process parameters. It is of the utmost importance to find suitable combinations to all the process parameters so that the desired output response is optimized. While doing so may be nearly impossible or too expensive by carrying out experiments at all possible combinations, it may be done quickly and efficiently by using computational intelligence techniques. Due to the versatile nature of computational intelligence techniques, they can be used at different phases of the machining process design and optimization process. While powerful machine-learning methods like gene expression programming (GEP), artificial neural network (ANN), support vector regression (SVM), and more can be used at an early phase of the design and optimization process to act as predictive models for the actual experiments, other metaheuristics-based methods like cuckoo search, ant colony optimization, particle swarm optimization, and others can be used to optimize these predictive models to find the optimal process parameter combination. These machining and optimization processes are the future of manufacturing. Data-Driven Optimization of Manufacturing Processes contains the latest research on the application of state-of-the-art computational intelligence techniques from both predictive modeling and optimization viewpoint in both soft computing approaches and machining processes. The chapters provide solutions applicable to machining or manufacturing process problems and for optimizing the problems involved in other areas of mechanical, civil, and electrical engineering, making it a valuable reference tool. This book is addressed to engineers, scientists, practitioners, stakeholders, researchers, academicians, and students interested in the potential of recently developed powerful computational intelligence techniques towards improving the performance of machining processes.