Corporations are slowly realizing the impact of their business on the environment and society. They are also facing increasing pressure from their stakeholders to follow responsible business practices. Many companies are looking to incorporate and manage a sustainable business. However, they are unaware on where and how to start this transition. This book explains the basics on how to incorporate sustainability into any business. It gives the simple understanding of the concept of sustainability, and the basic approaches to identify, implement and measure sustainability in any business. Through the various examples given in this book of various industries, readers can identify which aspect of sustainability to adopt in their business, and the various steps that can be taken for its implementation and management. This book aims to simplify and explain corporate sustainability to professionals, students and businessmen from all industries! What Others Say: This book by Dr. Charu Jain, Simplifying Corporate Sustainability: A Guide to Implementing Sustainable Practices, comes as a lifeline and breath of fresh air for anyone who would like to have a 360‐ degree view on sustainability in a lucid manner. In this publication, she brings to the fore her understanding of the subject and her experience therein, combining her educational pursuits and her practical work for many years. The book beautifully blends in the theoretical aspects and various elements of sustainability, along with the metrics and best practices, to implement and improve on the same. The inclusion of case studies and real‐life examples helps the reader to better relate to SIMPLIFYING CORPORATE SUSTAINABILITY and understand the core of the subject. Its relevance to successful businesses is what distinguishes it from other publications, which tend to delve solely on the philosophical and environmental aspect, which incidentally also stands covered herein. My compliments to Dr. Charu Jain for capturing the above in this publication, and I hope it can motivate many organizations and individuals to weave in sustainability into every aspect of their lives. Happy reading! Dilip Raghavan Chief Editor‐Publisher Colour Publications, India Dr Charu Jain has attempted through this handbook to remind the readers about the United Nations Sustainable Development Goals (SDG) that nations have to aspire for and achieve before 2020. Sustainability strategy is to be carved out to manage and measure it to enable environmental foot‐print measurements. I am sure that the global industry system shall make this as a handy tool‐box for human resource development through this simplified guidance document for sustainability practices to corporate responsibility for ensuring sustainability on our planet. Wishing all best reading experience, Dr TP Rajendran Former ICAR‐Asst DG (Plant Protection) & ICAROfficer on Special Duty (NIBSM) Visiting Fellow Research Information System for Developing Countries “Sustainability” & “CSR”, once cliché words as “nice to have” on the company agenda, have moved today to the “must have” essential focus of the industry. In her book “Simplifying Corporate Sustainability,” Dr. Jain, with her vast experience, adeptly explains the fundamental understanding of this concept and then proceeds to the steps that need to be taken to implement and monitor its efficacy. This book is for corporates and professionals who would like to begin their journey in this area. Ullhas M. Nimkar (M.Sc. Leeds, U.K., C. Col; FSDC, FTA), Chairman and Managing Director, NimkarTek Technical Services Pvt. Ltd. To save the natural resources and restrict the environmental pollution in different areas is the biggest problem before the world. Dr. Charu Jain has done the great work by authoring the book to manage sustainability in all spheres of life. P. K. Jain Civil Engineer and Business Management Academic
This book provides useful insights into quality issues in secondary education in India and addresses the important questions of why there is need to improve the quality of education; how one can measure the quality of education; and the ways to improve quality. The analysis in this book is conceptually designed at three levels: national level performance and linkages; state level progress, disparities and linkages; and determinants of quality education at school level for measuring students learning outcomes and efficient teaching practices. The authors have used both quantitative and qualitative methods to probe into the various issues related to the quality of secondary education at micro and macro levels. This book provides a methodological framework to scholars attempting to measure and evaluate the quality of secondary education under various settings. It provides interesting insights into the identification of factors determining quality outcomes. The chapters discuss issues related to quality concepts, research methodologies, comparative analysis, key challenges, socio-economic linkages of secondary education, quality of education from students' and teachers' perspectives, quality measurement and policy suggestions. This is a valuable resource for researchers and students in the area of economics of education, education planning and administration, development studies and economics. This book is also useful for educational administrators and policy makers.
100 Splendid Voices is a book which gives a strong voice to the females of this world. This book contains 100 Female writers from across the Globe which talks about few social issues of this society, home and problems that women's face these days in this world. This book is a collection of Thoughts of wonderful and amazing writers from not only from one country but also from different countries.
This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their previous searches or purchases. Recommender system methods have been adapted to diverse applications including query log mining, social networking, news recommendations, and computational advertising. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The chapters of this book are organized into three categories: Algorithms and evaluation: These chapters discuss the fundamental algorithms in recommender systems, including collaborative filtering methods, content-based methods, knowledge-based methods, ensemble-based methods, and evaluation. Recommendations in specific domains and contexts: the context of a recommendation can be viewed as important side information that affects the recommendation goals. Different types of context such as temporal data, spatial data, social data, tagging data, and trustworthiness are explored. Advanced topics and applications: Various robustness aspects of recommender systems, such as shilling systems, attack models, and their defenses are discussed. In addition, recent topics, such as learning to rank, multi-armed bandits, group systems, multi-criteria systems, and active learning systems, are introduced together with applications. Although this book primarily serves as a textbook, it will also appeal to industrial practitioners and researchers due to its focus on applications and references. Numerous examples and exercises have been provided, and a solution manual is available for instructors.
Caste and gender are complex markers of difference that have traditionally been addressed in isolation from each other, with a presumptive maleness present in most studies of Dalits (“untouchables”) and a presumptive upper-casteness in many feminist studies. In this study of the representations of Dalits in the print culture of colonial north India, Charu Gupta enters new territory by looking at images of Dalit women as both victims and vamps, the construction of Dalit masculinities, religious conversion as an alternative to entrapment in the Hindu caste system, and the plight of indentured labor. The Gender of Caste uses print as a critical tool to examine the depictions of Dalits by colonizers, nationalists, reformers, and Dalits themselves and shows how differentials of gender were critical in structuring patterns of domination and subordination.
What did everyday Hinduism in India look like a hundred years ago? Were its practices more varied and less politically curtailed than now? Hindi Hindu Histories provides illuminating historical accounts of Hindu life through individual actors, autobiographical narratives, and genres in the Hindi print-public culture of early twentieth-century North India. It focuses on four fascinating figures: a successful woman doctor in the Indigenous medical regime, a globe-trotting Hindu ascetic who opposed Gandhi, an anticaste campaigner who spoke for sexual equality, and a Hindu communist who envisioned an egalitarian utopia in the world of labor. These public intellectuals harbored vernacular dreams of freedom and Hindi-Hindu nationhood through their vantage points of caste, Ayurveda, travel, and communism. Opening up a vast and under-explored Hindi archive, this book presents a dynamic spectacle of a plural Hindi-Hindu universe of facets that coexisted, challenged each other, and comprised an idea of Hinduness far more inclusive than anything conceivable in the present moment.
This textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout the book. A solution manual for the exercises at the end of each chapter is available to teaching instructors. This textbook targets graduate level students and professors in computer science, mathematics and data science. Advanced undergraduate students can also use this textbook. The chapters for this textbook are organized as follows: 1. Linear algebra and its applications: The chapters focus on the basics of linear algebra together with their common applications to singular value decomposition, matrix factorization, similarity matrices (kernel methods), and graph analysis. Numerous machine learning applications have been used as examples, such as spectral clustering, kernel-based classification, and outlier detection. The tight integration of linear algebra methods with examples from machine learning differentiates this book from generic volumes on linear algebra. The focus is clearly on the most relevant aspects of linear algebra for machine learning and to teach readers how to apply these concepts. 2. Optimization and its applications: Much of machine learning is posed as an optimization problem in which we try to maximize the accuracy of regression and classification models. The “parent problem” of optimization-centric machine learning is least-squares regression. Interestingly, this problem arises in both linear algebra and optimization, and is one of the key connecting problems of the two fields. Least-squares regression is also the starting point for support vector machines, logistic regression, and recommender systems. Furthermore, the methods for dimensionality reduction and matrix factorization also require the development of optimization methods. A general view of optimization in computational graphs is discussed together with its applications to back propagation in neural networks. A frequent challenge faced by beginners in machine learning is the extensive background required in linear algebra and optimization. One problem is that the existing linear algebra and optimization courses are not specific to machine learning; therefore, one would typically have to complete more course material than is necessary to pick up machine learning. Furthermore, certain types of ideas and tricks from optimization and linear algebra recur more frequently in machine learning than other application-centric settings. Therefore, there is significant value in developing a view of linear algebra and optimization that is better suited to the specific perspective of machine learning.
This book is about the tragic journeys and livelihood insecurities of coastal fisherfolk jailed by India, Pakistan, Sri Lanka and Bangladesh for having entered each other’s territorial waters. While reflecting on national anxieties and the deleterious politics of boundaries, it reveals how these fisherfolk create alternative maps and a new world of ‘debordering’. These fishworkers and coastal conflicts have been subjects of everyday news, but never a subject of serious study. A first of its kind, the present book breaks new ground by examining the journeys of these fisherfolk and coastal conflicts in South Asia from several overlapping but distinct perspectives: declining sea resources, security and border anxieties, suffering of the fisherfolk, their ambiguous identities and transnational movements. The book is also innovative in terms of methodology: it is fisherfolk-centric as it marginalizes the concerns of the state from the perspective of security; it questions the very basis of security and argues for a shift in its perspective.
This second edition textbook covers a coherently organized framework for text analytics, which integrates material drawn from the intersecting topics of information retrieval, machine learning, and natural language processing. Particular importance is placed on deep learning methods. The chapters of this book span three broad categories:1. Basic algorithms: Chapters 1 through 7 discuss the classical algorithms for text analytics such as preprocessing, similarity computation, topic modeling, matrix factorization, clustering, classification, regression, and ensemble analysis. 2. Domain-sensitive learning and information retrieval: Chapters 8 and 9 discuss learning models in heterogeneous settings such as a combination of text with multimedia or Web links. The problem of information retrieval and Web search is also discussed in the context of its relationship with ranking and machine learning methods. 3. Natural language processing: Chapters 10 through 16 discuss various sequence-centric and natural language applications, such as feature engineering, neural language models, deep learning, transformers, pre-trained language models, text summarization, information extraction, knowledge graphs, question answering, opinion mining, text segmentation, and event detection. Compared to the first edition, this second edition textbook (which targets mostly advanced level students majoring in computer science and math) has substantially more material on deep learning and natural language processing. Significant focus is placed on topics like transformers, pre-trained language models, knowledge graphs, and question answering.
Reproductive Biology of Angiosperms: Concepts and Laboratory Methods will cater to the needs of undergraduate and graduate students pursuing core and elective courses in life sciences, botany, and plant sciences. The book is designed according to the syllabi followed in major Indian universities. It provides the latest and detailed description of structures and processes involved in reproduction in higher plants. The inclusion of colour photographs and illustrations will be an effective visual aid to help readers. Interesting and significant findings of the latest research taking place in the field of reproductive biology are also provided in boxes. At the end of each chapter, the methodology of hands-on exercises is presented for the implementation and practice of theoretical concepts.
With the increasing advances in hardware technology for data collection, and advances in software technology (databases) for data organization, computer scientists have increasingly participated in the latest advancements of the outlier analysis field. Computer scientists, specifically, approach this field based on their practical experiences in managing large amounts of data, and with far fewer assumptions– the data can be of any type, structured or unstructured, and may be extremely large. Outlier Analysis is a comprehensive exposition, as understood by data mining experts, statisticians and computer scientists. The book has been organized carefully, and emphasis was placed on simplifying the content, so that students and practitioners can also benefit. Chapters will typically cover one of three areas: methods and techniques commonly used in outlier analysis, such as linear methods, proximity-based methods, subspace methods, and supervised methods; data domains, such as, text, categorical, mixed-attribute, time-series, streaming, discrete sequence, spatial and network data; and key applications of these methods as applied to diverse domains such as credit card fraud detection, intrusion detection, medical diagnosis, earth science, web log analytics, and social network analysis are covered.
This book is written for practitioners and researchers who are currently working in the field of supply chain management and operations management. It provides a thorough explanation of the supply chain configuration problem as well as offers solutions that combine the mathematical aspects of problem solving with applications in modern information technology.
This book provides useful insights into quality issues in secondary education in India and addresses the important questions of why there is need to improve the quality of education; how one can measure the quality of education; and the ways to improve quality. The analysis in this book is conceptually designed at three levels: national level performance and linkages; state level progress, disparities and linkages; and determinants of quality education at school level for measuring students learning outcomes and efficient teaching practices. The authors have used both quantitative and qualitative methods to probe into the various issues related to the quality of secondary education at micro and macro levels. This book provides a methodological framework to scholars attempting to measure and evaluate the quality of secondary education under various settings. It provides interesting insights into the identification of factors determining quality outcomes. The chapters discuss issues related to quality concepts, research methodologies, comparative analysis, key challenges, socio-economic linkages of secondary education, quality of education from students' and teachers' perspectives, quality measurement and policy suggestions. This is a valuable resource for researchers and students in the area of economics of education, education planning and administration, development studies and economics. This book is also useful for educational administrators and policy makers.
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