Kirjahaku

Stephanie Dinkins is renowned for her critical investigations into artificial intelligence and machine learning systems as they intersect race, gender, and our future histories. By using her training in documentary practices as a photo-based artist, she creates inclusive platforms for dialogue and action toward building technological ecosystems and datasets that are equitable, accessible, and transparent. Her immersive installations, community-based workshops, and public talks seek audience participation and engagement in a way that pushes the boundaries of new media and socially engaged art practices in the 21st century. Stephanie Dinkins: On Love & Data brings together nationally renowned curators and theorists who draw from methodologies of art criticism, social practice, new media theory, and critical studies to offer an in-depth analysis of key installations in Dinkins’s survey exhibition. The book also includes an important essay by Stephanie Dinkins on her concept of Afro-now-ism in which she expands on her theoretical framework and positionality as a Black new media artist in the 21st century. Dinkins’s artistic research transcends the boundaries of visual art to challenge and expose the bias and inequities of caste, race, and gender, which are encoded within digital systems on which governance, healthcare, and security infrastructures in the United States are based.

This book explores the role and effect of Microfinance Institutions (MFIs) with different dimensions. It is being supported with strong empirical evidence into various parameters of MFIs directed towards inclusive finance and the transformation journey of livelihoods of its beneficiaries.It also incorporates empirical evidence with the perception of both beneficiaries and non-beneficiaries. Starting its journey toward the path of comprehending how MFIs make their footprint among the excluded population in the selected areas, it incorporates the different outcomes of MFI lending like credit utilisation patterns, income generation, and employability. As financial stability helps to break out the vicious cycle of poverty, this book emphasises the self-dependent element for the beneficiaries and their households. It addresses the important issue of the female counterparts in society. It shows how the MFIs work actively to generate female empowerment from multiple dimensions among the selected communities. It addresses key issues to consider for inclusive policy formulation, especially for backward communities in the backward areas and gives a realistic scenario of the MFI activities, their interactions with the respondents, the various outcomes, and areas for further developments, etc. This book is beneficial for academicians, researchers, and policymakers.

This book explores the role and effect of Microfinance Institutions (MFIs) with different dimensions. It is being supported with strong empirical evidence into various parameters of MFIs directed towards inclusive finance and the transformation journey of livelihoods of its beneficiaries.It also incorporates empirical evidence with the perception of both beneficiaries and non-beneficiaries. Starting its journey toward the path of comprehending how MFIs make their footprint among the excluded population in the selected areas, it incorporates the different outcomes of MFI lending like credit utilisation patterns, income generation, and employability. As financial stability helps to break out the vicious cycle of poverty, this book emphasises the self-dependent element for the beneficiaries and their households. It addresses the important issue of the female counterparts in society. It shows how the MFIs work actively to generate female empowerment from multiple dimensions among the selected communities. It addresses key issues to consider for inclusive policy formulation, especially for backward communities in the backward areas and gives a realistic scenario of the MFI activities, their interactions with the respondents, the various outcomes, and areas for further developments, etc. This book is beneficial for academicians, researchers, and policymakers.

India is committed to Millenium Development Goals (MDGs) and is a signatory of Convention for Elimination of all forms of Discrimination Against Women (CEDAW), yet at the start of the 11th Five- Year Plan, women 's health and well-being have received far less attention and care both from civil society including their families and from the public sphere. The book found that the prevalence of morbidity, especially obstetric and gynecological morbidity was quite high among women of reproductive age group in rural West Bengal and also in rural Birbhum. Also, the prevalence of non-reproductive morbidity among women of the said age group, though not very high, cannot be ignored. The tendency to seek treatment for any morbidity was not satisfactory. Therefore this book tried to identify the socio-economic and demographic factors, which determine women's health status and their treatment seeking behaviour.

Apply machine and deep learning to solve some of the challenges in the oil and gas industry. The book begins with a brief discussion of the oil and gas exploration and production life cycle in the context of data flow through the different stages of industry operations. This leads to a survey of some interesting problems, which are good candidates for applying machine and deep learning approaches. The initial chapters provide a primer on the Python programming language used for implementing the algorithms; this is followed by an overview of supervised and unsupervised machine learning concepts. The authors provide industry examples using open source data sets along with practical explanations of the algorithms, without diving too deep into the theoretical aspects of the algorithms employed. Machine Learning in the Oil and Gas Industry covers problems encompassing diverse industry topics, including geophysics (seismic interpretation), geological modeling, reservoir engineering, and production engineering. Throughout the book, the emphasis is on providing a practical approach with step-by-step explanations and code examples for implementing machine and deep learning algorithms for solving real-life problems in the oil and gas industry. What You Will Learn Understanding the end-to-end industry life cycle and flow of data in the industrial operations of the oil and gas industryGet the basic concepts of computer programming and machine and deep learning required for implementing the algorithms usedStudy interesting industry problems that are good candidates for being solved by machine and deep learningDiscover the practical considerations and challenges for executing machine and deep learning projects in the oil and gas industry Who This Book Is For Professionals in the oil and gas industry who can benefit from a practical understanding of the machine and deep learning approach to solving real-life problems.

This book investigates the complex role space and movement play in the representation of South Asian diasporic communities in contemporary diaspora literature and films, the question of female empowerment in neoliberal Western cities, and the impact of trauma on female identities. It highlights the literary and cinematic portrayal of South Asian people’s migration to the UK and the US after the Second World War and discusses how the identities of the female characters are transformed in neoliberal cities. Focusing on South Asian women writers and directors, who are first- and second-generation immigrants in the West, the volume analyses how their works depict female empowerment in both British and American settings.The book will be of great interest to scholars and researchers of literature, film studies, diaspora studies, gender studies and South Asian studies.

This book investigates the complex role space and movement play in the representation of South Asian diasporic communities in contemporary diaspora literature and films, the question of female empowerment in neoliberal Western cities, and the impact of trauma on female identities. It highlights the literary and cinematic portrayal of South Asian people’s migration to the UK and the US after the Second World War and discusses how the identities of the female characters are transformed in neoliberal cities. Focusing on South Asian women writers and directors, who are first- and second-generation immigrants in the West, the volume analyses how their works depict female empowerment in both British and American settings.The book will be of great interest to scholars and researchers of literature, film studies, diaspora studies, gender studies and South Asian studies.

Given the increasing sensitivity of buyers in the richer countries towards quality of goods they consume, low-quality exports largely constrain export-growth of the developing countries. This Element documents the attempts to estimate cross-country quality variations and reviews the demand side and supply side explanations for the low-quality phenomenon. It examines how trade policies can incentivize export-quality upgrading, and discusses the underlying channels through which a reverse causality from export-quality upon within-country income or wage inequality may develop.