An important novel menu for Survival Analysis entitled Accelerated Failure Time (AFT) models has been published by IBM (international Businesss Machines) in its SPSS statistical software update of 2023.
Incompleteness is a fascinating phenomenon at the intersection of mathematical foundations, computer science, and epistemology that places a limit on what is provable.
The book is divided into four parts: the first part introduces the basic concepts of nicotinamide coenzymes, the synthesis of nicotinamide coenzymes, intracellular distribution, and an overview of the main functions and detection methods so that readers can quickly understand the general feature and function of nicotinamide coenzymes; the second part describes the involvement of nicotinamide coenzymes in intracellular signal transduction and their roles in cellular physiological and biochemical processes to explain exactly how nicotinamide coenzymes work in the processes and enable readers to deeply understand the principle of nicotinamide coenzymes playing an important function; the third part describes the role of nicotinamide coenzymes in the pathophysiological process of diseases, tries to illustrate the specific mechanisms of their association with the occurrence of the diseases, and points out the potential value in future translational medicine research; the fourth part introduces the production technology of nicotinamide coenzymes, including precursors, the process of industrial production, and the application of nicotinamide coenzymes and precursors in health industry, medicine, and life science research.
This book covers sugar, salt and milk fat from a chemical perspective, and presents an overview of the role of these ingredients in our food, focusing on their flavors, satiety-inducing properties, nutritional impact, and health effects.
This is the seventh volume of the Handbook of Geometry and Topology of Singularities, a series that aims to provide an accessible account of the state of the art of the subject, its frontiers, and its interactions with other areas of research.
This edited book presents recent developments in the field of plant biotechnology involving highly efficient micropropagation for the commercial exploitation of nanomaterials (such as silver, cobalt, copper, zinc, magnesium, silicon, iron, nickel, manganese, and selenium nanoparticles, etc.
This volume presents cutting-edge research on one of modern cosmology's most intriguing challenges: the observed dipolar anisotropies that appear to conflict with the standard ΛCDM cosmological model.
Microorganisms, the catalysts of all biogeochemical cycles on Earth, are the origin and essence of life-an invisible yet powerful force sustaining all living organisms.
This contributed volume on phytochemistry and pharmacology of the genus Bidens covers the chemical constituents and biological activities of this plant group in detail.
Die 10 Beiträge dieses Sammelbands zeigen, wie mathematisches Modellieren erfolgreich in den alltäglichen Mathematikunterricht integriert werden kann: Angeboten werden praktisch erprobte Lernumgebungen für die unterschiedlichen Jahrgangsstufen der Sekundarstufen.
This book provides a comprehensive review of the methodologies and searches for dark matter (DM) annihilation signals using very-high-energy gamma rays (VHE, E > 100 GeV), utilizing data from current Imaging Atmospheric Cherenkov Telescopes (IACTs) in the pre-Cherenkov Telescope Array (CTA) era.
This book is a carefully curated collection of technical research papers presented at the 15th International Symposium on Experimental and Computational Aerothermodynamics of Internal Flows (ISAIF-15).
This book outlines how to approach the anaesthetic for congenital heart disease patients for non-cardiac surgery, how to plan for it and to provide a blueprint on how to anaesthetise any congenital cardiac lesion.
This book offers a comprehensive introduction by three of the leading experts in the field, collecting fundamental results and open problems in a single volume.
This book provides a comprehensive review of the methodologies and searches for dark matter (DM) annihilation signals using very-high-energy gamma rays (VHE, E > 100 GeV), utilizing data from current Imaging Atmospheric Cherenkov Telescopes (IACTs) in the pre-Cherenkov Telescope Array (CTA) era.
This book presents the tunable biological characteristics of nanobioceramics and focuses on some challenges in bone tissue engineering and regenerative medicine.
This book offers the proceedings of Euromech colloquium 642, which wanted to provide a forum to present and debate several advanced computational, experimental, and analytical methods for studying the behaviour of complex materials and structures.
This fascinating book begins with fundamental definitions and notations of urn models before moving on to stochastic processes and applications of urn models in the field of finance.
This book provides comprehensive information on tropane alkaloids, from their discovery to their pharmacological applications and biotechnological production.
The proceedings of 21st International Conference on Near Infrared Spectroscopy (NIR 2023 Innsbruck) presents a comprehensive collection of contributions of renowned researchers, scientists, and industry professionals who have converged to share their expertise and advancements at the NIR 2023 conference.
This book provides fundamental knowledge, international standards, evaluation methodology, and current research findings in human and thermal environments from physiological anthropology and environmental ergonomics perspectives.
This book delves into the intricate world of sugarcane breeding, offering a comprehensive exploration of advanced technologies and methodologies revolutionizing the field.
The book presents the author's development of two first-principles methods to calculate dielectric properties of materials based on anharmonic phonon and machine learning, and demonstrates an in-depth analysis of anharmonic crystals and molecular liquids.
The book “Machine Learning for Disease Detection, Prediction, and Diagnosis” can be a comprehensive guide to the novel concepts, techniques, and frameworks essential for improving the viability of existing machine-learning practices.
