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The contributions in this volume combine fundamental questions of common sense geography with case studies of ancient geographical texts. The book bridges synchronic cognitive linguistic and cognitive psychological approaches to the ancient texts with a diachronic perspective. The mental modeling of common sense geography is a fruitful theoretical approach, to gain deeper insights in universal and cultural-specific mnemonic representational systems on the one hand, and to enhance our understanding of ancient geography on the other. (Series: Ancient Culture and History / Antike Kultur und Geschichte - Vol. 16)
This book constitutes the refereed proceedings of the 14th International Conference on Practical Applications of Scalable Multi-agent Systems, PAAMS 2016, held in Sevilla, Spain, in June 2016. The 9 revised full papers, 10 short papers, and 16 Demo papers were carefully reviewed and selected from 58 submissions (39 full paper and 19 Demo paper submissions. The papers report on the application and validation of agent-based models, methods, and technologies in a number of key application areas, including day life and real world, energy and networks, human and trust, markets and bids, models and tools, negotiation and conversation, scalability and resources.
This book examines the importance of DNA molecules as fundamental genomic elements in different types of organisms. In recent years, a wide range of tools and techniques have become available to investigate the versatility of genomic variabilities, exchanges, and differentiations. This book presents data and information from population genetics and evolutionary biology, making it a useful resource for scientists worldwide.
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Includes lists of officers, committees, and roster of members.
Biological and biomedical research are increasingly driven by experimental techniques that challenge our ability to analyse, process and extract meaningful knowledge from the underlying data. The impressive capabilities of next generation sequencing technologies, together with novel and ever evolving distinct types of omics data technologies, have put an increasingly complex set of challenges for the growing fields of Bioinformatics and Computational Biology. The analysis of the datasets produced and their integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Cle...