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The 13th International Symposium on Distributed Computing and Artificial Intelligence 2016 (DCAI 2016) is a forum to present applications of innovative techniques for studying and solving complex problems. The exchange of ideas between scientists and technicians from both the academic and industrial sector is essential to facilitate the development of systems that can meet the ever-increasing demands of today’s society. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This symposium is organized by the University of Sevilla (Spain), Osaka Institute of Technology (Japan), and the Universiti Teknologi Malaysia (Malaysia)
Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computer Science, Software Engineering, Computer Engineering, and Systems Engineering and Sciences. Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering includes selected papers form the conference proceedings of the International Conference on Systems, Computing Sciences and Software Engineering (SCSS 2007) which was part of the International Joint Conferences on Computer, Information and Systems Sciences and Engineering (CISSE 2007).
Artificial intelligence (AI) is a branch of computer science that models the human ability of reasoning, usage of human language and organization of knowledge, solving problems and practically all other human intellectual abilities. Usually it is characterized by the application of heuristic methods because in the majority of cases there is no exact solution to this kind of problem. Soft computing can be viewed as a branch of AI that deals with the problems that explicitly contain incomplete or complex information, or are known to be impossible for direct computation, i.e., these are the same problems as in AI but viewed from the perspective of their computation. The Mexican International Conference on Artificial Intelligence (MICAI), a yearly international conference series organized by the Mexican Society for Artificial Intelligence (SMIA), is a major international AI forum and the main event in the academic life of the country’s growing AI community. In 2010, SMIA celebrated 10 years of activity related to the organization of MICAI as is represented in its slogan “Ten years on the road with AI”. MICAI conferences traditionally publish high-quality papers in all areas of artificial intelligence and its applications. The proceedings of the previous MICAI events were also published by Springer in its Lecture Notes in Artificial Intelligence (LNAI) series, vols. 1793, 2313, 2972, 3789, 4293, 4827, 5317, and 5845. Since its foundation in 2000, the conference has been growing in popularity and improving in quality.
Qualitative Comparative Analysis: An Introduction to Research Design and Application is a comprehensive guide to QCA. As QCA becomes increasingly popular across the social sciences, this textbook teaches students, scholars, and self-learners the fundamentals of the method, research design, interpretation of results, and how to present findings.
Owing to the increased interest in brain ischemia and the new therapeutic options from pharmaceutical companies for the treatment of acute stroke, Professor Julien Bogousslavsky, one of the world's stroke experts, has revised his best-selling book. It is the emergence of huge possibilities in the management of stroke - ultra-early diagnosis, intensive care, surgical and other interventional therapies, thrombolysis, anti-ischemic drugs and prevention of immediate recurrence - which necessiates this timely update.
This book, based on the experience of a single large referral center, presents the characteristic findings obtained when using MR imaging and MR cholangiopancreatography (MRCP) to image the biliary tree and pancreatic ducts in a variety of disease settings. An introductory chapter is devoted to technical considerations, anatomy, and developmental anomalies. Subsequent chapters then present in detail the MR imaging and MRCP findings observed in choledocholithiasis, inflammatory and neoplastic disorders of the bile ducts, acute and chronic pancreatitis (according to etiology), and different pancreatic neoplasms. Dynamic MRCP with secretin stimulation is also illustrated, documenting both normal and abnormal responses of the pancreatic duct system to secretin. Readers will find this book to be an excellent aid to the interpretation of MR imaging and MRCP findings in patients with biliary and pancreatic disease. ​