This monograph presents a comprehensive study of portfolio optimization, an important area of quantitative finance. Considering that the information available in financial markets is incomplete and that the markets are affected by vagueness and ambiguity, the monograph deals with fuzzy portfolio optimization models. At first, the book makes the reader familiar with basic concepts, including the classical mean-variance portfolio analysis. Then, it introduces advanced optimization techniques and applies them for the development of various multi-criteria portfolio optimization models in an uncertain environment. The models are developed considering both the financial and non-financial criteria of investment decision making, and the inputs from the investment experts. The utility of these models in practice is then demonstrated using numerical illustrations based on real-world data, which were collected from one of the premier stock exchanges in India. The book addresses both academics and professionals pursuing advanced research and/or engaged in practical issues in the rapidly evolving field of portfolio optimization.

Ecotoxicology, an offshoot of toxicology, is a multidisciplinary science that integrates toxicology and ecology by drawing knowledge and procedures from both the fields. It analyses the effect of toxic chemicals or biological agents on living organisms at different levels of organization. Ecotoxicology classifies different contaminants, their characteristics, release and ecological fate, and predicts their effect so that timely action could be taken to prevent or minimize the detrimental effect. Fundamentals of Environmental Toxicology starts with the basics of toxicology, briefly touching the sources of toxic compounds, classification of toxicants, factors affecting toxicity, and elaborates on heavy metal toxicity. The individual chapters on various heavy metals and radioactive metals discuss the sources and route of exposure, etiology, pathophysiology, and clinical manifestations, mechanism of toxicity, toxicological effects, diagnosis, treatment, management, and ecological impact. The book covers the field in its maximum width and provides an insight into pesticide and radiation toxicity, and recent advances in eco-toxicology with special focus on removal of HMs and latest techniques bioremediation. This book serves as a reference book for advanced students pursuing degrees in environmental toxicology and across various disciplines, viz., biomedical, environmental sciences, toxicology, eco-toxicology, pharmacology, public health, etc. and all interested in learning the concepts of eco-toxicology. Features: A systematic overview of the key concepts of ecotoxicology, its relationship with other disciplines, and recent advances in the area. Detailed classification of toxicants, types of toxicity and mechanism of action of toxicants. An in-depth coverage of topics on mechanism of HM besides exclusive sections on pesticide and radiation toxicity. A fact file in each chapter, highlighting the key points on the theme discussed in the chapter. Flow charts, tables, diagrams, and illustrations in easily understandable language.

Presents analysis and modeling of renewable generation uncertainty for planning and operation, beneficial for industry professionals and researchers. Discusses the dependence modeling of multi-site renewable generations in detail. Covers probabilistic analysis, useful for data analysts. Discusses various aspects of renewable energy integration i.e. technical, economic, etc. Covers correlation factors and methodologies are validated with case studies with various standard test systems.

This book discusses the importance of integrating spirituality from diverse knowledge backgrounds to be effective in its everyday use. Bringing together global experts in the field, this book provides an extensive overview of the various spirituality and management themes, models, approaches, and complexities. The chapters in the book include deliberations upon wisdom from the Bhagwat Gita; Buddha; the impact of spirituality on good governance, quality of life; integrating ethics, human values, happiness; meditation; and linking of spirituality and management and their effect on leadership, and workplace environment. A thought-provoking read for scholars, students, and policy-makers, this book provides an Indian perspective on managing spirituality at work. This book is even more relevant in the post-COVID-19 scenario as it focuses on the holistic development of people and organizations.

This monograph presents a comprehensive study of portfolio optimization, an important area of quantitative finance. Considering that the information available in financial markets is incomplete and that the markets are affected by vagueness and ambiguity, the monograph deals with fuzzy portfolio optimization models. At first, the book makes the reader familiar with basic concepts, including the classical mean–variance portfolio analysis. Then, it introduces advanced optimization techniques and applies them for the development of various multi-criteria portfolio optimization models in an uncertain environment. The models are developed considering both the financial and non-financial criteria of investment decision making, and the inputs from the investment experts. The utility of these models in practice is then demonstrated using numerical illustrations based on real-world data, which were collected from one of the premier stock exchanges in India. The book addresses both academics and professionals pursuing advanced research and/or engaged in practical issues in the rapidly evolving field of portfolio optimization.  

This book discusses the perception of disease, healing concepts and the evolution of traditional systems of healing in the Himalayas of Himachal Pradesh, India. The chapters cover a diverse range issues: people and knowledge systems, healing in ancient scriptures, concept of sacredness and faith healing, food as medicament, presumptions about disease, ethno-botanical aspects of medicinal plants, collection and processing of herbs, traditional therapeutic procedures, indigenous" Materia medica, "etc. The book also discusses the diverse therapeutic procedures followed by Himalayan healers and their significance in the socio-cultural life of Himalayan societies.

The World Health Organization defines traditional medicine as wisdom, skills, and practices based on theories, beliefs, and experiences indigenous to different cultures, used in the prevention, diagnosis, improvement or treatment of physical and mental illness and maintenance of health. In some Asian and African countries, 80% of the population depends on traditional medicine for primary health care. However, the knowledge of these conventional healing techniques and traditions associated with conveying this knowledge are slowly disappearing. The authors highlight the importance of safeguarding this indigenous knowledge in the cultural milieu of the Himachal Himalayas.This book will be an important resource for researchers in medical anthropology, biology, ethno-biology, ecology, community health, health behavior, psychotherapy, and Himalayan studies."

Intelligent Learning Approaches for Renewable and Sustainable Energy provides a practical, systematic overview of the application of advanced intelligent control techniques, adaptive techniques, machine learning algorithms, and predictive control in renewable and sustainable energy. The book begins by introducing the intelligent learning approaches, and the roles of artificial intelligence and machine learning in terms of energy and sustainability, grid transformation, large-scale integration of renewable energy, and variability and flexibility of renewable sources. The second section of the book provides detailed coverage of intelligent learning techniques as applied to key areas of renewable and sustainable energy, including forecasting, supply and demand, integration, energy management, and optimization, supported by case studies, figures, schematics, and references. This is a useful resource for researchers, scientists, advanced students, energy engineers, R&D professionals, and other industrial personnel with an interest in sustainable energy and integration of renewable energy sources, energy systems, energy engineering, machine learning, and artificial intelligence.