Applied Analysis:Mathematical Methods in Natural Science Takashi Suzuki, Takasi Senba
Urban Mining Systems:SpringerBriefs in Applied Sciences and Technology. Auflage 2015 Takashi Nakamura, Kohmei Halada
This book presents new developments in non-local mathematical modeling and mathematical analysis on the behavior of solutions with novel technical tools. Theoretical backgrounds in mechanics, thermo-dynamics, game theory, and theoretical biology are examined in details. It starts off with a review and summary of the basic ideas of mathematical modeling frequently used in the sciences and engineering. The authors then employ a number of models in bio-science and material science to demonstrate applications, and provide recent advanced studies, both on deterministic non-local partial differential equations and on some of their stochastic counterparts used in engineering. Mathematical models applied in engineering, chemistry, and biology are subject to conservation laws. For instance, decrease or increase in thermodynamic quantities and non-local partial differential equations, associated with the conserved physical quantities as parameters. These present novel mathematical objects are engaged with rich mathematical structures, in accordance with the interactions between species or individuals, self-organization, pattern formation, hysteresis. These models are based on various laws of physics, such as mechanics of continuum, electro-magnetic theory, and thermodynamics. This is why many areas of mathematics, calculus of variation, dynamical systems, integrable systems, blow-up analysis, and energy methods are indispensable in understanding and analyzing these phenomena. This book aims for researchers and upper grade students in mathematics, engineering, physics, economics, and biology.
This book describes machining technology from a wider perspective by considering it within the machining space. Machining technology is one of the metal removal activities that occur at the machining point within the machining space. The machining space consists of structural configuration entities, e.g., the main spindle, the turret head and attachments such the chuck and mandrel, and also the form-generating movement of the machine tool itself. The book describes fundamental topics, including the form-generating movement of the machine tool and the important roles of the attachments, before moving on to consider the supply of raw materials into the machining space, and the discharge of swarf from it, and then machining technology itself. Building on the latest research findings Theory and Practice in Machining System discusses current challenges in machining. Thus, with the inclusion of introductory and advanced topics, the book can be used as a gui de and survey of machining technology for students and also as the basis for the planning of future research by professors and researchers in universities and scientific institutions. Professional engineers can use the book as a signpost to technical developments that will be applied in industry in coming years. Yoshimi Ito ( Dr.-Eng., C Eng., FIET ) is professor emeritus at the Tokyo Institute of Technology, past president of the Japan Society of Mechanical Engineers and past vice president of the Engineering Academy of Japan. He has published numerous research and review papers, and also books ranging from structural design of machine tools, through production systems, to manufacturing culture. He gets currently involved within the establishment of educational and research programme of the Indian Institute of Information Technology, Design and Manufacture in Jabalpur, by the request of the Ministry of Foreign Affairs of Japan. Takashi Matsumura, Ph.D , is a professor serving in Tokyo Denki University, the Chairman of Manufacturing and Machine Tool Division in Japan Society of Mechanical Engineers and a board member in The Japan Society for Die and Mould Technology. He was also the chairman of Manufacturing Process Division in Society of Automotive Engineers of Japan, a board member of Japan Society for Precision Engineering and Japan Society for Abrasive Technology. He was a Visiting Scholar in Massachusetts Institute of Technology from 1997 to 2006; and a Visiting Scientist supported by Ikerbasque, Basque Foundation for Science in 2011. He has published many papers on the manufacturing processes and the manufacturing systems. He is currently working on the machining process simulation for aircrafts parts supported by the national research foundation and the related industries.
This book integrates recent methodological developments for calculating the sample size and power in trials with more than one endpoint considered as multiple primary or co-primary, offering an important reference work for statisticians working in this area. The determination of sample size and the evaluation of power are fundamental and critical elements in the design of clinical trials. If the sample size is too small, important effects may go unnoticed; if the sample size is too large, it represents a waste of resources and unethically puts more participants at risk than necessary. Recently many clinical trials have been designed with more than one endpoint considered as multiple primary or co-primary, creating a need for new approaches to the design and analysis of these clinical trials. The book focuses on the evaluation of power and sample size determination when comparing the effects of two interventions in superiority clinical trials with multiple endpoints. Methods for sample size calculation in clinical trials where the alternative hypothesis is that there are effects on ALL endpoints are discussed in detail. The book also brie?y examines trials designed with an alternative hypothesis of an effect on AT LEAST ONE endpoint with a prespeci?ed non-ordering of endpoints. Takashi Sozu Dr. Sozu is Associate Professor of Biostatistics at Kyoto University School of Public Health. He is an Associate Editor of Japanese Journal of Biometrics. He is the member of the International Biometric Society and the elected member of the International Statistical Institute. He was awarded the Young Biostatistician Award from Biometric Society of Japan, Best Paper Award from Japanese Society for Alternatives to Animal Experiments, Prize for Outstanding Achievement in Education and Research at Osaka University, and Best Teacher Award at Kyoto University School of Public Health. His current research interest is design and analysis of clinical trials with multiple primary endpoints. Tomoyuki Sugimoto Dr. Sugimoto is Associate Professor of Mathematical Sciences at Hirosaki University Graduate School of Science and Technology. Dr. Sugimoto is a member of the Board of Directors for Japanese Society of Computational Statistics and serves as an Associate Editor for Journal of Japanese Society of Computational Statistics. Dr. Sugimoto has received the Distinguished Article Award from the Japanese Society of Computational Statistics. Toshimitsu Hamasaki Dr. Hamasaki is the Chief of Biostatistics and Data Management Office at National Cerebral and Cardiovascular Center and is a Professor of Innovative Clinical Trials and Data Science at Osaka University Graduate School of Medicine (Cooperative Graduate School Program). Dr. Hamasaki was the member of ICH E5 informal discussion group to develop the Q & A document. He was the Editor-in-Chief of the Journal of the Japanese Society of Computational Statistics, and currently, he serves as an Associate Editor for Japanese Journal of Applied Statistics and Journal of Japanese Society of Computational Statistics and Statistics in Biopharmaceutical Research, and series editor for Japan Statistical Society Research Series in Statistics. He is an elected member of International Statistical Institute. Dr. Hamasaki has received the Distinguished Article Award from the Japanese Society of Computational Statistics and Hida-Mizuno Prize from the Behaviormetric Society of Japan. Scott R Evans Dr. Evans is a Senior Research Scientist at Harvard University where he teaches clinical trials and is the Director of the Statistical and Data Management Center for the Antibacterial Resistance Leadership Group. Hes a Fellow of the American Statistical Association (ASA) and has received the Robert Zackin Distinguished Collaborative Statistician Award for significant statistical contributions to HIV research and a Recognition Award for contributions of statistical expertise to the Harvard School of Public Health (HSPH) IRB. Dr. Evans is a member of an FDA Advisory Committee and has served and chaired numerous Data Monitoring Committees and Scientific Advisory Committees. Dr. Evans is a member of the Board of Directors for the Society for Clinical Trials and Mu Sigma Rho, the National Honorary Society for Statistics. He is the Executive Editor for CHANCE, the Past-President of the Boston Chapter of the ASA, the Past-Chair of the Development Committee of ASA, and the Past-Chair of the Teaching Statistics in the Health