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Mathematical Physics
This volume consists of the scientific work presented at the 14th Regional Conference on Mathematical Physics, held in November 2015 in Islamabad, Pakistan, and dedicated to the memory of Riazuddin, the first Pakistani PhD student of the late Nobel laureate, Abdus Salam, and one of the pioneers who developed physics in Pakistan. This collection surveys the latest developments in a wide area of mathematical physics as presented by world-renowned experts. The contributors sample a number of topics including the formal aspects of mathematical physics, general relativity and cosmology, particle physics, astrophysics, string theory, black hole physics, quantum gravity, quantum field theory, condensed matter physics, symmetries in mathematics and physics, and even applied physics.
Mathematical Physics
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Theory of Relativity
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Contemporary Physics
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Mathematical Physics
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Mathematical Physics
These proceedings survey the latest developments in a wide area of mathematical physics as presented by internationally renowned experts. The fields surveyed are High Energy Physics, String Theory, Relativity, Astrophysics, Cosmology, Plasma Physics and Formal Aspects of Mathematical Physics. Some of the exciting topics discussed in this volume are fundamental questions about black holes and string theory, supermassive black holes, string theory and the quantum structure of space-time, AdS space-time and holography, the cosmological constant, non-commutative geometry, quantum gravity, symmetries in general relativity, recent developments in neutrino physics and astrophysical plasmas.
Advanced Crop Improvement, Volume 2
As per the reports of FAO, the human population will rise to 9 billion by the end of 2050 and 70% of more food must be produced over the next three decades to feed the additional population. The breeding approaches for crop improvement programs are dependent on the availability and accessibility of genetic variation, either spontaneous or induced by the mutagens. Plant breeders, agronomists, and geneticists are under constant pressure to expand food production by employing innovative breeding strategies to enhance yield, adaptability, nutrition, resistance to biotic and abiotic stresses. In conventional breeding approaches, introgression of genes in crop varieties is laborious and time-consu...
Theory of Relativity
This volume is to facilitate undergraduate and graduate students in theory of relativity and help them in their studies of High Energy Physics and Cosmology. The presentation has been kept simple and sufficient details have been provided in order to facilitate the understanding of the subject. The problems have also been selected to clarify the presentation and solutions of selected problems are given for better understanding of the contents.
Grasses and Grassland
Grasslands are of vital significance globally by covering more than one-quarter of the earth’s surface. They are known by a variety of names, such as prairies, pampas, steppes, savannas, and so on, and provide feed to animals as well as serve as biodiversity reserves and catchment areas. Under the changing climate scenario, they can potentially serve as carbon sinks, which might alleviate the adverse effects of greenhouse gas emissions. This book provides fundamental knowledge of underutilized grasses of economic significance as well as discusses advancements in grasslands management for boosting their bio-productivity. There is a particular focus on state-of-the-art strategies for the restoration and conservation of grasslands in the era of changing climate.
Drug Design using Machine Learning
DRUG DESIGN USING MACHINE LEARNING The use of machine learning algorithms in drug discovery has accelerated in recent years and this book provides an in-depth overview of the still-evolving field. The objective of this book is to bring together several chapters that function as an overview of the use of machine learning and artificial intelligence applied to drug development. The initial chapters discuss drug-target interactions through machine learning for improving drug delivery, healthcare, and medical systems. Further chapters also provide topics on drug repurposing through machine learning, drug designing, and ultimately discuss drug combinations prescribed for patients with multiple or...
