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This book is an introduction to the language of systems biology, which is spoken among many disciplines, from biology to engineering. Authors Thomas Sauter and Marco Albrecht draw on a multidisciplinary background and evidence-based learning to facilitate the understanding of biochemical networks, metabolic modeling and system dynamics. Their pedagogic approach briefly highlights core ideas of concepts in a broader interdisciplinary framework to guide a more effective deep dive thereafter. The learning journey starts with the purity of mathematical concepts, reveals its power to connect biological entities in structure and time, and finally introduces physics concepts to tightly align abstraction with reality. This workbook is all about self-paced learning, supports the flipped-classroom concept, and kick-starts with scientific evidence on studying. Each chapter comes with links to external YouTube videos, learning checklists, and Integrated real-world examples to gain confidence in thinking across scientific perspectives. The result is an integrated approach that opens a line of communication between theory and application, enabling readers to actively learn as they read. This overview of capturing and analyzing the behavior of biological systems will interest adherers of systems biology and network analysis, as well as related fields such as bioinformatics, biology, cybernetics, and data science.
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System analysis --- Mathematical optimization --- Operations Research
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The subjective transfer function (STF) approach is a method developed to evaluate Air Force command and control systems, and is applicable to other complex systems that are impossible to evaluate through traditional quantitative means. Based on the principles of hypothesis formulation and testing, the method incorporates features of the algebraic modeling approach to measurement where meaningful subjective scale values derive from tested theories. It also provides features for coalescing judgments obtained from different groups of system experts into an overall perceptual system outcome. This report introduces and is a primer of the STF method. It outlines the steps involved in the approach, describes how those steps can be accomplished, and discusses measurement principles and techniques to aid the reader's understanding of the basis for the approach.
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engineering --- technics --- instrument-making --- system analysis --- materials science
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The delicate balance of resource intensity and efficiency of a solution for a very complex problem raises the issue of how these aspects constitute a symmetrical or asymmetrical system. Computational Intelligence (CI) offers a plethora of efficient tools for the potential and rather good quality solution of highly complex, often mathematically intractable problems. This "toolbox" is one of the best examples for the study of the above mentioned issue, namely, how to find the best balance, how to establish a symmetry of weights or costs in a particular field, for a particular problem. This special issue presents a number of interesting novel applications of CI for the tackling of a wide variety of difficult problems. The Introduction gives a short insight into the symmetry and asymmetry aspect of the topic.
Fuzzy systems. --- Systems, Fuzzy --- System analysis --- Fuzzy logic
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A first step in dealing with uncertainty is confronting its existence, ubiquity, and magnitude. A second step is dealing with it when informing assessments and decisions. As the Cold War waned, RAND developed new methods that urged sketching the no-surprises future, listing known branch-style uncertainties, and stretching the imagination to envision potential shocks, good or bad (e.g., Soviet Union disintegration or Saddam Hussein's invasion of Kuwait). Major surprises will nonetheless occur, and some of RAND's most important work on uncertainty has to do with coping with surprise developments. RAND's progress in national security uncertainty analysis benefited from a confluence of developments in computer and software technology, theory and practice in strategic planning and decisionmaking, analytic theory and methods, and theory of complex adaptive systems. Work has emphasized facing up to deep uncertainty in many dimensions, performing exploratory analysis of "the possibility space," identifying regions of that space that pose special risks or opportunities, finding options to improve capabilities, and using portfolio analysis to conceive and compare strategic options for economically dealing with the diversity of challenges. A cross-cutting RAND theme is finding flexible, adaptive, and robust (FAR) strategies. Ultimately, different problems call for different approaches to uncertainty. If the theory of planning under uncertainty and preparing to cope with surprise effectively is difficult and complex, this report makes clear that implementing and maintaining corresponding changes is even more difficult and suggests that policymakers to be constantly vigilant in ensuring that related initiatives are not undercut or allowed to wither.
National security --- Interagency coordination --- Strategic planning --- System analysis. --- Planning.
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Information technology --- System analysis --- Information technology. --- System analysis. --- complicated technical systems --- system analysis --- data processing --- information technologies --- information security --- Network theory --- Systems analysis --- System theory --- Mathematical optimization --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Network analysis --- Network science
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Mathematics --- Mathematical models --- System analysis --- Models, Mathematical --- Mathematical models. --- Mathematics. --- System analysis. --- Simulation methods --- Network theory --- Systems analysis --- System theory --- Mathematical optimization --- Math --- Science --- Network analysis --- Network science
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System theory --- System analysis --- System analysis. --- System theory. --- Systems, Theory of --- Systems science --- Science --- Network theory --- Systems analysis --- Mathematical optimization --- Philosophy --- Network analysis --- Network science
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mathematics --- informatics --- information systems --- mathematical models --- Computer science --- System analysis --- Computer science. --- System analysis. --- Network theory --- Systems analysis --- System theory --- Mathematical optimization --- Informatics --- Science --- Network analysis --- Network science
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