Santos kumar (175 resultados)

Hardcover. Condición: Very Good. 2017 Palgrave hardcover edition. Light reading wear else very good condition. Contents: 1 'Introduction: Infertility in History: Approaches, Contexts and Perspectives' by Tracey Loughran and Gayle Davis, 2 'Introduction: Defining the 'Problem': Perspectives on Infertility' by Tracey Loughran and Gayle Davis, 3 'Great Expectations: Infertility, Disability, and Possibility' by Sally Bishop Shigley, 4 'Whose Fault is it Anyway? Plant Infertility in Antiquity' by Laurence M.V. Totelin, 5 'From 'Fructification' to 'Insemination': Nomenclature and the Practice of Artificial Insemination' by Bridget Gurtler, 6 'Silences: Coping with Infertility in Nineteenth-Century Germany' by Christina Benninghaus, 7 'Oral History and Women's Accounts of Infertility in Postwar England' by Angela Davis, 8 'Introduction: The Body Politic and the Infertile Body' by Tracey Loughran and Gayle Davis, 9 'Sterility and Sovereignty: The Succession Crisis of the Late Valois Monarchy' by Penny Roberts, 10 'If slenderness be the cause of unfruitfulness; you must nourish and fatten the body: Thin Bodies and Infertility in Early Modern England' by Sarah Toulalan, 11 'Obstacles to the Establishment of a Policy to Combat Infertility in France, c. 1920-1950' by Fabrice Cahen, 12 'Phantom Fathers and Test-Tube Babies: Debates on Marriage, Infertility, and Artificial Insemination in the British Media, c. 1957-60' by Hayley Andrew, 13 'She Gets the Taunts and Bears the Blame: Infertility in Contemporary India' by Daniel J.R. Grey, 14 'Introduction: Situating Infertility in Medicine' by Gayle Davis and Tracey Loughran, 15 'Men's Responses to Infertility in Late Medieval England' by Catherine Rider, 16 'The Ancient Medical Sources in the Chapters about Sterility of Rodrigo de Castro's De universa mulierum medicina' by Cristina Santos Pinheiro, 17 'Female Impotence or Obstruction of the Womb: French Doctors Picturing Female Sterility in the 1820s' by Sophie Vasset, 18 'The Great Foe to the Reproduction of the Race: Diagnosing and Treating Infertility Caused by Venereal Diseases, 1880-1914' by Anne Hanley, 19 'A Tragedy as Old as History: Medical Responses to Infertility and Artificial Insemination by Donor in 1950s Britain' by Gayle Davis, 20 'Introduction: Agency and Invisibility in Constructions of Infertility' by Tracey Loughran and Gayle Davis, 21 'The Psychology of Infertility in Reproductive Medicine and Healthcare, c. 1940s-2000s' by Sofia Gameiro and Jacky Boivin, 22 'The Interplay Between Infertility and Adoption in Policy and Practice in Twentieth-Century Australia' by Shurlee Swain, 23 'Conditions of Illusion: Agency, Feminism, and Cultural Representations of Infertility in Britain, c. 1960-80' by Tracey Loughran, 24 'The Janus Face of Infertility in the Global North and South: Reviewing Feminist Contributions to the Debate' by Sara MacBride-Stewart and Rachel Simon-Kumar, 25 'Being Paid to Produce Eggs and Sperm: Gender, Commodification, and the Bodily Experiences of Gamete Donors' by Rene Almeling, 26 'Representations of Ageing and Infertility in the Twenty-First-Century British Press' by Virpi Ylanne, 27 'Introduction: Reproductive Technologies and Imagined Futures' by Gayle Davis and Tracey Loughran, 28 'Americans and Assisted Reproduction: The Past as Prologue' by Margaret Marsh, 29 'In Vitro Fertilization, Infertility, and the 'Right to a Child' in 1970s and 1980s Britain' by Duncan Wilson, 30 'The Authority's Anti-Breeding Campaign: State-Imposed Infertility in British Reprodystopia' by Fran Bigman, 31 'Infertility, Ethics, and the Future: An Exploration' by Daniela Cutas.…

Hardcover. Condición: new. Hardcover. This book delves into an in-depth analysis of the impact of artificial intelligence (AI) on the contemporary economic landscape. The book highlights not only how AI revolutionizes industrial processes but also how it plays a crucial role in promoting economic sustainability. The book explores various sectors in which AI fits, from business strategies to efficient resource management, and it includes case studies and research that reveal how the synergy between technology and the economy can boost sustainable development. Readers are guided through an enlightening narrative on how the responsible integration of AI can maximize efficiency, reduce waste, and promote ethical business practices. The book not only explores the current state of the intersection between AI and economics but also casts a visionary eye to the future, inspiring business leaders, academics, and decision-makers to embrace AI as a driving force for a long lasting economic sustainability. This book delves into an in-depth analysis of the impact of artificial intelligence (AI) on the contemporary economic landscape. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Condición: New. In English.

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Paperback. Condición: new. Paperback. Mining Biomedical Text, Images and Visual Features for Information Retrieval Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Hardcover. Condición: new. Hardcover. This book delves into an in-depth analysis of the impact of artificial intelligence (AI) on the contemporary economic landscape. The book highlights not only how AI revolutionizes industrial processes but also how it plays a crucial role in promoting economic sustainability. The book explores various sectors in which AI fits, from business strategies to efficient resource management, and it includes case studies and research that reveal how the synergy between technology and the economy can boost sustainable development. Readers are guided through an enlightening narrative on how the responsible integration of AI can maximize efficiency, reduce waste, and promote ethical business practices. The book not only explores the current state of the intersection between AI and economics but also casts a visionary eye to the future, inspiring business leaders, academics, and decision-makers to embrace AI as a driving force for a long lasting economic sustainability. This book delves into an in-depth analysis of the impact of artificial intelligence (AI) on the contemporary economic landscape. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

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Condición: New. 1st edition NO-PA16APR2015-KAP.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book comprehensively covers the topic of COVID-19 and other pandemics and epidemics data analytics using computational modelling. Biomedical and Health Informatics is an emerging field of research at the intersection of information science, computer science, and health care. The new era of pandemics and epidemics bring tremendous opportunities and challenges due to the plentiful and easily available medical data allowing for further analysis. The aim of pandemics and epidemics research is to ensure high-quality, efficient healthcare, better treatment and quality of life by efficiently analyzing the abundant medical, and healthcare data including patient's data, electronic health records (EHRs) and lifestyle. In the past, it was a common requirement to have domain experts for developing models for biomedical or healthcare. However, recent advances in representation learning algorithms allow us to automatically learn the pattern and representation of the given data for the development of such models. Medical Image Mining, a novel research area (due to its large amount of medical images) are increasingly generated and stored digitally. These images are mainly in the form of: computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients' biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions related to health care. Image mining in medicine can help to uncover new relationships between data and reveal new and useful information that can be helpful for scientists and biomedical practitioners. Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis will play a vital role in improving human life in response to pandemics and epidemics. The state-of-the-art approaches for data mining-based medical and health related applications will be of great value to researchers and practitioners working in biomedical, health informatics, and artificial intelligence.…

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book comprehensively covers the topic of COVID-19 and other pandemics and epidemics data analytics using computational modelling. Biomedical and Health Informatics is an emerging field of research at the intersection of information science, computer science, and health care. The new era of pandemics and epidemics bring tremendous opportunities and challenges due to the plentiful and easily available medical data allowing for further analysis. The aim of pandemics and epidemics research is to ensure high-quality, efficient healthcare, better treatment and quality of life by efficiently analyzing the abundant medical, and healthcare data including patient's data, electronic health records (EHRs) and lifestyle. In the past, it was a common requirement to have domain experts for developing models for biomedical or healthcare. However, recent advances in representation learning algorithms allow us to automatically learn the pattern and representation of the given data for the development of such models. Medical Image Mining, a novel research area (due to its large amount of medical images) are increasingly generated and stored digitally. These images are mainly in the form of: computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients' biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions related to health care. Image mining in medicine can help to uncover new relationships between data and reveal new and useful information that can be helpful for scientists and biomedical practitioners. Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis will play a vital role in improving human life in response to pandemics and epidemics. The state-of-the-art approaches for data mining-based medical and health related applications will be of great value to researchers and practitioners working in biomedical, health informatics, and artificial intelligence.…

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Condición: New. 2024. paperback. . . . . .

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Taschenbuch. Condición: Neu. Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis | Subhendu Kumar Pani (u. a.) | Taschenbuch | xxvi | Englisch | 2022 | Springer | EAN 9783030797553 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book delves into an in-depth analysis of the impact of artificial intelligence (AI) on the contemporary economic landscape. The book highlights not only how AI revolutionizes industrial processes but also how it plays a crucial role in promoting economic sustainability. The book explores various sectors in which AI fits, from business strategies to efficient resource management, and it includes case studies and research that reveal how the synergy between technology and the economy can boost sustainable development. Readers are guided through an enlightening narrative on how the responsible integration of AI can maximize efficiency, reduce waste, and promote ethical business practices. The book not only explores the current state of the intersection between AI and economics but also casts a visionary eye to the future, inspiring business leaders, academics, and decision-makers to embrace AI as a driving force for a long lasting economic sustainability.…

Condición: New. Describes many biomedical imaging techniques to detect diseases at the cellular level i.e., image segmentation, classification, or image indexing using a variety of computational intelligence and image processing approachesDiscusses how dat.

Condición: New.