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Humanitarian Logistics from the Disaster Risk Reduction Perspective
This book aims to clarify the priorities of the Sendai Framework for the DRR 2015 – 2030, through gathering recent contributions addressing the different ways researchers define, measure, reduce, and manage risk in the challenge of the DRR. Beyond a discussion of the different definitions of disaster risk; this book provides contributions focused on optimization approaches that support the decision-making process in the challenge of managing DRR problems considering emerging disaster risks in the medium and long term, as well as national and local applications. Some of the topics covered include network flow problems, stochastic optimization, discrete optimization, multi-objective programming, approximation techniques, and heuristic approaches. The target audience of the book includes professionals who work in Linear Programming, Logistics, Optimization (Mathematical, Robust, Stochastic), Management Science, Mathematical Programming, Networks, Scheduling, Simulation, Supply Chain Management, Sustainability, and similar areas. It can be useful for researchers, academics, graduate students, and anyone else doing research in the field
Crossroads between Innate and Adaptive Immunity
This compilation presents mini-reviews derived from work presented at the Aegean Conference: "First Crossroads between Innate and Adaptive Immunity," which occurred in October, 2005 at the Hilton Conference Center on the island of Rhodes, Greece. The conference included sessions dedicated to host recognition of and response to pathogens, innate immune networks, antigen presentation, and adaptive immune responses, each headlined by a leading scientist.
Cyclic ADP-Ribose and NAADP
In the past decade we have witnessed the birth and maturing of a field of research centering on the Ca2+ signaling functions of cyclic ADP-ribose (cADPR) and nicotinic acid adenine dinucleotide phosphate (NAADP), which structures and mechanisms of action are truly unique among all Ca2+ messengers. A wide range of physiological functions are now known to be mediated by them in cells spanning three biological kingdoms from protist, plant to animal. This is the first book devoted entirely to the field. The story behind the emergence of the field is told and followed by comprehensive reviews of the enzymology, regulations and gene structures of ADP-ribosyl cyclases responsible for metabolizing cADPR and NAADP. Also covered is some of the current methodology developed for and widely used in the field. The rest of the book focuses on and details the Ca2+ signaling mechanisms and specific physiological functions of these two messengers in various cellular systems.
AI and Learning Systems
Over the last few years, interest in the industrial applications of AI and learning systems has surged. This book covers the recent developments and provides a broad perspective of the key challenges that characterize the field of Industry 4.0 with a focus on applications of AI. The target audience for this book includes engineers involved in automation system design, operational planning, and decision support. Computer science practitioners and industrial automation platform developers will also benefit from the timely and accurate information provided in this work. The book is organized into two main sections comprising 12 chapters overall: •Digital Platforms and Learning Systems •Industrial Applications of AI
AACR 2022 Proceedings: Part B April 11-13
The AACR Annual Meeting is the focal point of the cancer research community, where scientists, clinicians, other health care professionals, survivors, patients, and advocates gather to share the latest advances in cancer science and medicine. From population science and prevention; to cancer biology, translational, and clinical studies; to survivorship and advocacy; the AACR Annual Meeting highlights the work of the best minds in cancer research from institutions all over the world.
Innovations in Machine and Deep Learning
In recent years, significant progress has been made in achieving artificial intelligence (AI) with an impact on students, managers, scientists, health personnel, technical roles, investors, teachers, and leaders. This book presents numerous successful applications of AI in various contexts. The innovative implications covered fall under the general field of machine learning (ML), including deep learning, decision-making, forecasting, pattern recognition, information retrieval, and interpretable AI. Decision-makers and entrepreneurs will find numerous successful applications in health care, sustainability, risk management, human activity recognition, logistics, and Industry 4.0. This book is an essential resource for anyone interested in challenges, opportunities, and the latest developments and real-world applications of ML. Whether you are a student, researcher, practitioner, or simply curious about AI, this book provides valuable insights and inspiration for your work and learning.
