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 Free Download Robert Levine, "Geography of Time: The Temporal Misadventures of a Social Psychologist, or How Every Culture Keeps Time Just a Little Bit Differently" English | 2006 | pages: 273 | ISBN: 1851684654 | PDF | 0,6 mb In this engaging and humorous book, eminent social psychologist Robert Levine explores a dimension of our experience that we take for granted - our experience of time. Taking us on an enchanting tour through the ages and around the world, we travel to Brazil, where to be three hours late is perfectly acceptable, and to Japan, where he finds a sense of the long-term that is unheard of in the West, as well as to remote places in the world where 'nature time', the rhythms of the sun and the seasons, is the only time to live by. From sundials of ancient Greece to the origins of 'clock time' in the industrial Revolution, Levine asks, how do we use our time? Are we ruled by the clock? What does this do to our cities, our bodies? Perhaps, he argues, time as a human construct has come to definite and constrain cultures, while instead we ought to function 'multitemporally,' each of us charting our own geography of time.  Free Download Gentleman Bandit: The True Story of Black Bart, the Old West's Most Infamous Stagecoach Robber by John Boessenecker English | March 14, 2023 | ISBN: 1335449426 | 384 pages | PDF | 17 Mb As seen on Netflix's Wyatt Earp and the Cowboy War  Free Download Genomics at the Nexus of AI, Computer Vision, and Machine Learning English | 2024 | ISBN: 1394268807 | 540 Pages | PDF | 175 MB The book encompasses a wide range of topics, starting with an introduction to genomics data and its unique characteristics. Each chapter unfolds a unique facet, delving into the collaborative potential and challenges that arise from advanced technologies. It explores image analysis techniques specifically tailored for genomic data. It also delves into deep learning showcasing the power of convolutional neural networks (CNN) and recurrent neural networks (RNN) in genomic image analysis and sequence analysis. Readers will gain practical knowledge on how to apply deep learning techniques to unlock patterns and relationships in genomics data. Transfer learning, a popular technique in AI, is explored in the context of genomics, demonstrating how knowledge from pre-trained models can be effectively transferred to genomic datasets, leading to improved performance and efficiency. Also covered is the domain adaptation techniques specifically tailored for genomics data. The book explores how genomics principles can inspire the design of AI algorithms, including genetic algorithms, evolutionary computing, and genetic programming. Additional chapters delve into the interpretation of genomic data using AI and ML models, including techniques for feature importance and visualization, as well as explainable AI methods that aid in understanding the inner workings of the models. The applications of genomics in AI span various domains, and the book explores AI-driven drug discovery and personalized medicine, genomic data analysis for disease diagnosis and prognosis, and the advancement of AI-enabled genomic research. Lastly, the book addresses the ethical considerations in integrating genomics with AI, computer vision, and machine learning. Free Download Genomics at the Nexus of AI, Computer Vision, and Machine Learning English | 2024 | ISBN: 1394268807 | 540 Pages | EPUB | 50 MB The book encompasses a wide range of topics, starting with an introduction to genomics data and its unique characteristics. Each chapter unfolds a unique facet, delving into the collaborative potential and challenges that arise from advanced technologies. It explores image analysis techniques specifically tailored for genomic data. It also delves into deep learning showcasing the power of convolutional neural networks (CNN) and recurrent neural networks (RNN) in genomic image analysis and sequence analysis. Readers will gain practical knowledge on how to apply deep learning techniques to unlock patterns and relationships in genomics data. Transfer learning, a popular technique in AI, is explored in the context of genomics, demonstrating how knowledge from pre-trained models can be effectively transferred to genomic datasets, leading to improved performance and efficiency. Also covered is the domain adaptation techniques specifically tailored for genomics data. The book explores how genomics principles can inspire the design of AI algorithms, including genetic algorithms, evolutionary computing, and genetic programming. Additional chapters delve into the interpretation of genomic data using AI and ML models, including techniques for feature importance and visualization, as well as explainable AI methods that aid in understanding the inner workings of the models. The applications of genomics in AI span various domains, and the book explores AI-driven drug discovery and personalized medicine, genomic data analysis for disease diagnosis and prognosis, and the advancement of AI-enabled genomic research. Lastly, the book addresses the ethical considerations in integrating genomics with AI, computer vision, and machine learning.  Free Download Genetic Testing in Reproductive Medicine by Rajender Singh English | March 1, 2024 | ISBN: 981997027X | 330 pages | MOBI | 4.94 Mb This textbook illustrates the importance and significance of molecular genetic testing in reproductive disorders. The present book covers the genetic testing in various reproductive system anomalies, including disorders of sexual development, male infertility (Y deletions, autosomal mutations, sperm DNA fragmentation), female infertility (PCOS and POF), mitochondrial DNA testing for oocyte quality, recurrent pregnancy loss, pre-term birth, endometrial receptivity, prenatal genetic screening, reproductive carrier screening, preimplantation genetic screening, endometrial cancer, cervical cancer and other related reproductive health disorders. Microbiome testing and its contribution to genetic testing in reproductive medicine are also discussed. Genetic testing in some of these has already come into practice, genetic testing for others is established but not clinically practiced, and genetic testing for others is yet in infancy as there is only limited data available. For the disorderswhere sufficient genetic data to undertake genetic testing is not available, we have tried to put together the evidence for proposing such tests in the near future. Apart from this, the book also covers ethical, moral and technical challenges in genetic testing in reproductive medicine. The book aims to set up a standard with regard to genetic testing in the reproductive medicine field, encourage further data generation, and provide food for thought in the areas of lacunae. The book serves graduate students, researchers, clinicians, professors, and patients in the field of reproductive medicine.  Free Download Generative AI with Python and PyTorch - Second Edition English | 2024 | ISBN: 9781835884447 | 75 Pages | EPUB | 6.3 MB Become an expert in generative AI through practical projects to leverage cutting-edge models for Natural Language Processing (NLP) and computer vision. Generative AI with Python and PyTorch, Second Edition, is your comprehensive guide to creating advanced AI applications. Leveraging Python, this book provides a detailed exploration of the latest generative AI technologies.  Free Download Generative AI for Beginners: A Comprehensive Guide to Innovative AI Models, Including LLMs and ChatGPT, To Empower Your AI Journey and Boost Your Professional Growth English | 2024 | ASIN : B0DK2LXLYH | 383 Pages | EPUB | 2 MB  Free Download Generative AI Explained: A Comprehensive Guide to Artificial Creativity English | 2024 | ASIN : B0DK9JQNFZ | 349 Pages | EPUB | 0.4 MB Unlock the world of Artificial Intelligence with Generative AI Explained: A Comprehensive Guide to Artificial Creativity by Ezra Belkinz. This essential guide serves as your gateway into the captivating realm of generative AI, offering an in-depth exploration of how machines are transforming creativity across various domains. From art and music to literature and design, this book is tailored for enthusiasts, professionals, and anyone curious about the potential of AI-driven creativity.  Free Download David Cooper, Prof Nick Lemoine, "Gene Therapy (Human Molecular Genetics Ser.))" English | 1996 | pages: 360 | ISBN: 185996205X | PDF | 27,2 mb Gene Therapy describes the delivery systems now available to target a given tissue with specific gene or oligonucleotide sequences, and explores the utility of animal modules as test systems. In the context of selected disease states, it summarises in vitro and in vivo studies and clinical trials performed to date.  Free Download Gene Regulation and Epigenetics: How Science Works English | 2024 | ISBN: 3031687299 | 277 Pages | PDF EPUB (True) | 103 MB This book delves into the fascinating realm of eukaryotic gene regulation. The specific expression of genes shapes the phenotype of cells and tissues. The regulation of gene expression, including up- and downregulation, is a fundamental aspect of nearly all physiological processes, both in health and disease. These dynamic processes respond to various daily challenges, such as dietary changes and infections. Therefore, it is crucial for not only biologists and biochemists but also all students in biomedical disciplines to understand gene regulation concepts. This foundational knowledge will benefit them in their specialized fields. A comprehensive understanding of transcription factors and the mechanisms that alter their activity is a fundamental goal of modern life science research. |
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