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Computational models and machine-learning methods are increasingly valuable tools to shed light on the dynamics that govern information processing in the nervous system, as well as their disruption in pathological conditions. A variety of techniques has been used to understand how networks of neurons in the brain encode, elaborate and transmit information about the external world, and how this information influences decision-making and behavior. Structural and functional abnormalities in the above-mentioned networks can lead to a wide range of brain disorders. Recent advances in brain simulation and machine-learning techniques, together with progress in the neuroimaging field, have been essential for bridging the different spatial scales in the brain and uncovering the processes underlying cognitive, motor and behavioral impairment in neurodevelopmental and neurodegenerative disorders.
Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary machine learning (ML) and deep learning (DL) research in healthcare paradigms. Serving as a unique compendium of existing and emerging ML/DL paradigms for the healthcare sector, this book demonstrates the depth, breadth, complexity, and diversity of this multi-disciplinary area. It provides a comprehensive overview of ML/DL algorithms and explores the related use cases in enterprises such as computer-aided medical diagnostics, drug discovery and development, medical imaging,...
There has been increasing interests in exploring biomarkers from brain images, aiming to have a better understanding and a more effective diagnosis of brain disorders such as schizophrenia, bipolar disorder, schizoaffective disorder, autism spectrum disorder, attention-deficit/hyperactivity disorder, Alzheimer’s disease and so on. Therefore, it is important to identify disease-specific changes for distinguishing healthy controls and patients with brain disorders as well as for differentiating patients with different disorders showing similar clinical symptoms. Biomarkers can be identified from different types of brain Imaging techniques including functional magnetic resonance imaging (fMRI...
Since the second half of the 20th Century, our agricultural bee pollinators have faced mounting threats from ecological disturbance and pan-global movement of pathogens and parasites. At the same time, the area of pollinator-dependent crops is increasing globally with no end in sight. Never before has so much been asked of our finite pool of bee pollinators. This book not only explores the evolutionary and ecologic bases of these dynamics, it translates this knowledge into practical research-based guidance for using bees to pollinate crops. It emphasizes conserving wild bee populations as well as culturing honey bees, bumble bees, and managed solitary bees. To cover such a range of biology, ...
"Akashvani" (English) is a programme journal of ALL INDIA RADIO, it was formerly known as The Indian Listener. It used to serve the listener as a bradshaw of broadcasting ,and give listener the useful information in an interesting manner about programmes, who writes them, take part in them and produce them along with photographs of performing artists. It also contains the information of major changes in the policy and service of the organisation. The Indian Listener (fortnightly programme journal of AIR in English) published by The Indian State Broadcasting Service, Bombay, started on 22 December, 1935 and was the successor to the Indian Radio Times in English, which was published beginning ...
The book "Thrombocytopenia" certainly raises some important issues in its pathogenesis and management. The authors have done a lot of hard work to write state-of-the-art chapters. Each and every chapter is peer-reviewed, evidence-based, and remarkably excellent. Some of the causes of thrombocytopenia are well explained in textbooks, but the topics included in this book are not usually so well described. The chapters are written in such a manner so as to stimulate and keep the reader well-informed. Such an approach is certainly beneficial when aiming to motivate discussion, interaction, innovation, and research. Chapters like "Interferon-Induced Thrombotic Microangiopathy" have been included with the aim to help in understanding the immune pathogenesis of thrombocytopenia. Others have also been selected to keep an eye on the future.
Microbial biotechnology is an emerging field with applications in a broad range of sectors involving food security, human nutrition, plant protection and overall basic research in the agricultural sciences. The environment has been sustaining the burden of mankind from time immemorial, and our indiscriminate use of its resources has led to the degradation of the climate, loss of soil fertility, and the need for sustainable strategies. The major focus in the coming decades will be on achieving a green and clean environment by utilizing soil and plant-associated beneficial microbial communities. Plant-microbe interactions include the association of microbes with plant systems: epiphytic, endop...