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Cells and Robots
This monograph has arisen from the multidisciplinary research extending over biology, robotics and hybrid systems theory. It is inspired by modeling reactive behavior of the immune system cell population, where each cell is considered an independent agent. The authors formulate the optimal control of maximizing the probability of robotic presence in a given region and discuss the application of the Minimum Principle for partial differential equations to this problem.
The History of EIBA
The European International Business Academy (EIBA) is a scholarly association that commemorates its 50th anniversary in 2024. Created in December 1974, it serves as a community network promoting research, international research collaboration, knowledge sharing, life-long learning, and the exchange of ideas among its members around the World.
Walking the Talk?
Politicians and businesses alike agree that something must be done about the environment, the question is what, how, when, and by whom? We ask, are we actually walking the talk?
The Oxford Handbook of Management in Emerging Markets
The Oxford Handbook of Management in Emerging Markets identifies key elements of the business systems and competition in emerging markets around the world and looks at competitive strategies of local and multinational companies going into and coming out of these countries. This book should serve both researchers and managers interested in knowing more about managing firms in emerging markets in general and in specific countries in particular. The essays highlight the tension between local and global knowledge as well as explore the role of local and international firms operating in emerging markets within global value chains or production networks.
Logical Modeling of Cellular Processes: From Software Development to Network Dynamics
Mathematical models have become invaluable tools for understanding the intricate dynamic behavior of complex biochemical and biological systems. Among computational strategies, logical modeling has been recently gaining interest as an alternative approach to address network dynamics. Due to its advantages, including scalability and independence of kinetic parameters, the logical modeling framework is becoming increasingly popular to study the dynamics of highly interconnected systems, such as cell cycle progression, T cell differentiation and gene regulation. Novel tools and standards have been developed to increase the interoperability of logical models, which can now be employ to respond a variety of biological questions. This Research Topic brings together the most recent and cutting-edge approaches in the area of logical modeling including, among others, novel biological applications, software development and model analysis techniques.
Systems Biology Modelling and Analysis
Systems Biology Modelling and Analysis Describes important modelling and computational methods for systems biology research to enable practitioners to select and use the most suitable technique Systems Biology Modelling and Analysis provides an overview of state-of-the-art techniques and introduces related tools and practices to formalize models and automate reasoning for systems biology. The authors present and compare the main formal methods used in systems biology for modelling biological networks, including discussion of their advantages, drawbacks, and main applications. Each chapter includes an intuitive presentation of the specific formalism, a brief history of the formalism and of it...
International Business in Latin America
This volume in the Academy of International Business Latin America Chapter (AIB-LAT) series presents research findings and theoretical developments in international business, with special emphasis on innovation, geography and internationalization in Latin America. Contributions are based on the best papers from the fourth annual AIB-LAT conference.
Mathematical Models and Immune Cell Biology
Whole new areas of immunological research are emerging from the analysis of experimental data, going beyond statistics and parameter estimation into what an applied mathematician would recognise as modelling of dynamical systems. Stochastic methods are increasingly important, because stochastic models are closer to the Brownian reality of the cellular and sub-cellular world.
Soil Health and Sustainable Agriculture in Brazil
Soil Health and Sustainable Agriculture in Brazil A far-reaching survey showcasing the improvements made to soil health in Brazil The maintenance of healthy soil resources provides the foundations for an array of global efforts and initiatives that affect humanity. Researchers, consultants, and farmers must be able to correctly examine and understand the complex nature of this essential, fragile resource. Soil Health and Sustainable Agriculture in Brazil provides a highly readable overview of the major cropping systems and management practices adopted in Brazil to improve soil health and sustain agricultural/forest production systems. Key Features Evolution of soil health concepts applied to...
Self-Destruction of Complex Systems
This book is the first attempt to provide a general theory of self-destruction in complex systems applicable to natural, social and cultural phenomena. The contributors work collaboratively to prove that many of the nondistributed complex systems in nature and society sooner or later experience critical development leading to unintended and irreversible self-annihilation. The individual chapters also show that the relations of such systems to their own distinctiveness and other systems may result in specific communicative pathologies (such as redundancy, inflation and noisy signalling) which tend to mitigate or reinforce each other, depending on circumstances. Finally, the volume updates som...
