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Contents Preface 1 Microfinance and women empowerment Nidhi Sharma 2 Gender equality and women empowerment myth or reality Sandhyarani Nayak Pranab Choudhury and Puspa Dash 3 Womens empowerment through self help groups state interventions Andhra Pradesh experience PW Purushotham and M Veera Prasad 4 Women in India from home maker to manager Niranjan Pani Puspanjali Mallick and S Bhupati Rao 5 Hindu egalitarianism a study of caste and gender SP Pani 6 Women education and Gandhi Geeta Satpathy and Sarita Mishra 7 Behavioral pattern of working women in balancing home and office Haryana perspective Manjusha Sharma and Garima Pant 8 Gender and decision making in an India state Swarnamayee Tripathy 9 Protection of women from domestic violence act 2005 a legal perspective and challenges for womens empowerment Neelima Deshmukh 10 The cultural designation of feminism theory and praxis Nandini Sahu 11 Feminist theories and liberation of women T Krishna Kanth K Lalitha Kumari and Shanta Kumari 12 Women and distance education Prajna Paramita Panigrahi 13 Gender and language Sridhara Mshra 14 Decoding the images of men and women in popular media Ashish Kumar Dwivedy 15 Indian music videos and gender studies current scenario and future directions Amrita Basu 16 Relevance of feminism to the afro American novel AJ Khan and Z Jabeen Index The book Essays on Contemporary Gender Issues focuses on varied aspects of gender studies Besides theoretical aspects it encompasses the dynamics of women empowerment economic power of women through SHGs and decision making area of women Also it tries to explore gender aspects in languages videos and advertisements No doubt in common pretence gender equality is the order of the day But whether gender equality is a myth or reality is the topic of discussion Further women and egalitarianism Gandhi on women education aspects are also examined here in brief Above all the book exhibits the dual role of women as home maker and office manager Really this is a small step to put forth a big agenda for women development Sixteen articles contributed by scholars of repute on diverse aspects of gender studies make core of the work jacket 310 pp. tables (illustrator).…

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gebundene Ausgabe. Zustand: Gut. 79 Seiten; Das Buch befindet sich in einem ordentlich erhaltenen Zustand. In ITALIENISCHER Sprache. Sprache: Italienisch Gewicht in Gramm: 300.

Paperback. Zustand: New. Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for accumulating, updating and changing knowledge in intelligent systems and particularly learning mechanisms that help us to induce knowledge from the data. It is helpful in cases where direct algorithmic solutions are unavailable, there is lack of formal models, or the knowledge about the application domain is inadequately defined. In the future IoT has the impending capability to change the way we work and live. These computing methods also play a significant role in design and optimization in diverse engineering disciplines. With the influence and the development of the IoT concept, the need for AI (artificial intelligence) techniques has become more significant than ever. The aim of these techniques is to accept imprecision, uncertainties and approximations to get a rapid solution. However, recent advancements in representation of intelligent IoTsystems generate a more intelligent and robust system providing a human interpretable, low-cost, and approximate solution. Intelligent IoT systems have demonstrated great performance to a variety of areas including big data analytics, time series, biomedical and health informatics. This book will be very beneficial for the new researchers and practitioners working in the biomedical and healthcare fields to quickly know the best performing methods. It will also be suitable for a wide range of readers who may not be scientists but who are also interested in the practice of such areas as medical image retrieval, brain image segmentation, among others. Discusses deep learning, IoT, machine learning, and biomedical data analysis with broad coverage of basic scientific applications. Presents deep learning and the tremendous improvement in accuracy, robustness, and cross- language generalizability it has over conventional approaches. Discusses various techniques of IoT systems for healthcare data analytics. Provides state-of-the-art methods of deep learning, machine learning and IoT in biomedical and health informatics. Focuses more on the application of algorithms in various real life biomedical and engineering problems.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 'chemical carcinogenesis' is the general title of the series of international meetings which are held, biannually, in sardinia (Italy) since 1981. Despite the generality of the title, the main effort of the scientific Committee has been to pursue a coherent line around one of the most distinguishing features of carcinogenesis: the 'multifasic' development of the process. Given that many chemical compounds are known to cause 'experimental cancer', many questions still remain unresolved or are given too simplistic answers. The very first question concerning the interaction between the chemical carcinogen and the molecular target in the cell is a debatable one despite the overwhelming literature in this field. It is certain that chemical carcinogens are toxic to cells and cause DNA damage: however it is still an open question as to how to relate these changes to the different stages of carcinogenesis including initiation. We have not to forget that 1/3 to 2/3 of the average life time of a given species elapses between the experimental administration of the carcinogen and the appearance of 'cancer'. The experimental manipulation of carcinogenesis through the use of 'adequate biological models' has not simplified the problems about cancer, but it has led us to face the complexity of otherwise elementary biological properties, cell proliferation and differentiation. The understanding of this biological complexity is not just theoretical, but it may give us those adequate conceptual tools to approach 'cancer' also from a medical point of view.…

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Taschenbuch. Zustand: Neu. Chemical Carcinogenesis 2 | Modulating Factors | A. Columbano (u. a.) | Taschenbuch | xii | Englisch | 2012 | Springer | EAN 9781461366423 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Nuclear Oncogenes as Transcription Factors.- Control of Hepatocyte Growth by Positive and Negative Growth Regulators and Mitogenic Triggers: Implications for Hepatic Neoplasia.- Cell Cycle Dependent Regulation of Poly(ADP-Ribose) Polymerase Gene Expression.- Different Expression of Cell Cycle Related Genes During Liver Regeneration and Liver Hyperplasia.- S-Adenosylmethionine Content, DNA Methylation and Gene Expression in Regenerating Liver.- Gene Activation and Deactivation During Multistage Hepatocarcinogenesis in the Rat.- Biochemical and Molecular Perturbations Induced in Preneoplastic Tissue by a S-Adenosyl-L-Methionine Load.- Alterations of Cell Surface Receptors and Expression of Cellular Oncogenes in the Liver of Rats Fed a Hypolipidemic Peroxisome Proliferator.- Growth Hormone-Regulated Expression of c-myc Gene During sex-Differentiated Promotion of Rat Liver Carcinogenesis.- In Situ Hybridization of Ha-Ras During Rat Liver Carcinogenesis.- Mutations in the H-Ras Proto-Oncogene in Early Precancerous Liver Lesions of the B6C3F1 Mouse.- Transformation of Human Epithelial Cells by Recombinant Human Papillomavirus DNA Associated with Cervical Cancer.- Cancer Families and Susceptibility to Cancer.- Cancer Syndromes in Humans.- Case-Control Studies on Cancer Risk in G6PD-Deficient Male Populations.- Genetic Susceptibility to Murine Hepatocarcinogenesis.- MHC-Linked Genes Controlling Growth and Reproduction Influence the Susceptibility to Diethylnitrosamine-Induced Carcinogenesis.- Metabolic Aberrations and Metamorphosis During Chemical Carcinogenesis.- Persistent Rat Liver Nodules Differ from Normal Liver, Regenerating Liver and Early Nodules both in Terms of Proteins of the Nuclear Matrix and Chromatin Condensation.- Intracellular Na+, K+, H+ and Cl Activities and Membrane Potentials During the 4-Dimethylaminoazobenzene-Induced Rat Hepatocarcinogenesis.- Analysis of the Effects of Modifying Agents on Proliferation and Enzyme Phenotype in Focal Preneoplastic and Neoplastic Liver Lesions in Rats.- Epidermal Growth Factor-Induced Cell Proliferation and EGF Binding in Preneoplastic Foci in The Rat Liver.- The Different Calcium Requirements of the Mitogenic Effects Elicited in Primary Neonatal Rat Hapatocytes by the Diterpene Phorbol Esters 12-O-Tetradecanoylphorbol-13-Acetate and Sapintoxin A.- Glucose-6-Phosphate Dehydrogenase Molecular Forms in Different Experimental Models of Hepatic Cell Proliferation.- Estrogen Dependent Growth of a Rat Pituitary Tumor (MtT/F84).- Deterministic Coupling Between Cellular Bioenergetics, Cholesterol Synthesis, cell Proliferation and Cancer.- Dolichyl Phosphate as a Regulator of Cell Growth.- Regulation of Cholesterol Metabolism in Normal and Malignantly Transformed Tissue in Vivo.- Cholesterol Metabolism and Proliferative Processes.- Serum LCAT and Lipid Levels in grc-- Bearing Rats with Liver Cancer.- Covalent Modification of Proteins by Farnesol and the Control of Cell Proliferation.- Repeated Treatments with a Low HNE Concentration Affect K562 Cell Proliferation.- Arachidonic Acid Enrichment Augments the Malonildialdehyde Production in Yoshida AH-130 Hepatoma Cells.- Modulation of Phosphatidylinositol-4,5-Diphosphate (PIP2)-Phospholipase C Activity by 4-Hydroxyalkenals.- The Role of Hepatic Metabolism in Sex Differentiation of Chemical Hepatocarcinogenesis in the Rat.- Changes of Rat Liver Glutathione Peroxidase, Glutathione Reductase and Glutathione Transferase 7-7 by Lead Nitrate Treatment.- High Affinity P-450 Form for the Metabolic Activation of DEN in Liver of Acetone-Induced Rats but not of Hamsters.- Genotoxicity of Chloroethanes and Structure Activity Relationships.- Genetical and Biochemical Studies on Three Halogenated Ethanes.- 'In Vivo' Interaction of Methionine and Cysteine Sulfur with Rat Liver tRNA.- Synthesis and Secretion of Cathepsin D in Normal And Tumor Human Cells.- Relationship Between Cell Proliferation and Cell.…

Gebunden. Zustand: New. KlappentextCarcinogenesis can be modulated by altering the physiological properties of the target parenchyma. Toxic cell injury, dietary, metabolic, or hormone imbalances may modify the course of chemical carcinogenesis, ultimately by al.

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Paperback. Zustand: New. Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for accumulating, updating and changing knowledge in intelligent systems and particularly learning mechanisms that help us to induce knowledge from the data. It is helpful in cases where direct algorithmic solutions are unavailable, there is lack of formal models, or the knowledge about the application domain is inadequately defined. In the future IoT has the impending capability to change the way we work and live. These computing methods also play a significant role in design and optimization in diverse engineering disciplines. With the influence and the development of the IoT concept, the need for AI (artificial intelligence) techniques has become more significant than ever. The aim of these techniques is to accept imprecision, uncertainties and approximations to get a rapid solution. However, recent advancements in representation of intelligent IoTsystems generate a more intelligent and robust system providing a human interpretable, low-cost, and approximate solution. Intelligent IoT systems have demonstrated great performance to a variety of areas including big data analytics, time series, biomedical and health informatics. This book will be very beneficial for the new researchers and practitioners working in the biomedical and healthcare fields to quickly know the best performing methods. It will also be suitable for a wide range of readers who may not be scientists but who are also interested in the practice of such areas as medical image retrieval, brain image segmentation, among others. Discusses deep learning, IoT, machine learning, and biomedical data analysis with broad coverage of basic scientific applications. Presents deep learning and the tremendous improvement in accuracy, robustness, and cross- language generalizability it has over conventional approaches. Discusses various techniques of IoT systems for healthcare data analytics. Provides state-of-the-art methods of deep learning, machine learning and IoT in biomedical and health informatics. Focuses more on the application of algorithms in various real life biomedical and engineering problems.…

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Hardcover. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Zustand: Nuevo. Ai, edge and to t-based smart agriculture editado por Academic press.

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Taschenbuch. Zustand: 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. …

Taschenbuch. Zustand: 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. Zustand: 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.…

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 432 | Sprache: Englisch | Produktart: Bücher | 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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