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This volume captures the social, political, psychological, administrative, and policy dimensions of the COVID-19 pandemic in the Indian context. The book is divided into four parts. Part I highlights social narratives from underprivileged workers, ASHA workers, the LGBTIQ+ community, and sanitary workers. It documents their struggles to develop mitigation, adaptation, and resilience strategies. Part II includes case studies and stories of self-management, the mental health of students from rural and urban Maharashtra, and of caregivers. It unveils the path of transformation of self to deal with the issues of anxiety and emotional turmoil caused during and due to the COVID-19 pandemic. Part III consists of resilience, philosophical hope, and solidarity, which reflect the contribution of seva by the Sikh community. It also highlights the contribution of government organizations like Indian Railways, Air India, and the Employee Provident Fund Organization to provide relief to both the people of India and Indians residing abroad to bring people back to the country during the unprecedented times. Part IV discusses the responses of various states of India to the COVID-19 pandemic and the implementation of policies by the government of India during those times. Based on empirical research work, this book will be useful for students, teachers, researchers, behavioral scientists, and practitioners of psychology, sociology, human geography, mental health, political science, public health, and public policy. This book will also be of interest to policymakers and the general public to understand the intricacies involved and the essential propositions with regard to pandemics.
Starting from the catastrophic floods and terrorist attacks of recent years, Prakash reaches back to the sixteenth-century Portuguese conquest to reveal the stories behind Mumbai's historic journey. Examining Mumbai's role as a symbol of opportunity and reinvention, he looks at its nineteenth-century development under British rule and its twentieth-century emergence as a fabled city on the sea. Different layers of urban experience come to light as he recounts the narratives of the Nanavati murder trial and the rise and fall of the tabloid Blitz, and Mumbai's transformation from the red city of trade unions and communists into the saffron city of Hindu nationalist Shiv Sena. Starry-eyed planners and elite visionaries, cynical leaders and violent politicians of the street, land sharks and underworld dons jostle with ordinary citizens and poor immigrants as the city copes with the dashed dreams of postcolonial urban life and lurches into the seductions of globalization. --
Mumbai's textile industry is commonly but incorrectly understood to be an extinct relic of the past. In The Archive of Loss Maura Finkelstein examines what it means for textile mill workers—who are assumed not to exist—to live and work during a period of deindustrialization. Finkelstein shows how mills are ethnographic archives of the city where documents, artifacts, and stories exist in the buildings and in the bodies of workers. Workers' pain, illnesses, injuries, and exhaustion narrate industrial decline; the ways in which they live in tenements exist outside and resist the values expounded by modernity; and the rumors and untruths they share about textile worker strikes and a mill fire help them make sense of the industry's survival. In outlining this archive's contents, Finkelstein shows how mills, which she conceptualizes as lively ruins, become a lens through which to challenge, reimagine, and alter ways of thinking about the past, present, and future in Mumbai and beyond.
A union list of serials commencing publication after Dec. 31, 1949.
This book covers the topic of data science in a comprehensive manner and synthesizes both fundamental and advanced topics of a research area that has now reached its maturity. The book starts with the basic concepts of data science. It highlights the types of data and their use and importance, followed by a discussion on a wide range of applications of data science and widely used techniques in data science. Key Features • Provides an internationally respected collection of scientific research methods, technologies and applications in the area of data science. • Presents predictive outcomes by applying data science techniques to real-life applications. • Provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. • Gives the reader a variety of intelligent applications that can be designed using data science and its allied fields. The book is aimed primarily at advanced undergraduates and graduates studying machine learning and data science. Researchers and professionals will also find this book useful.