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"Food Scientists have been teaching the subject in the same way for the past fifty years. This book therefore aims to modernise the coverage of the subject, bringing it in line with the recent and extensive developments in Materials Science; in particular, the field of supramolecular chemistry of food components has been generally overlooked in textbooks. Edible Nanostructures will summarise developments in the areas of protein aggregation and gelation, starch crystallography, emulsions, and fat crystal network nanostructure and microstructure, addressing their functionalities in food. Each chapter offers both the qualitative view and a basic quantitative treatment of the area, including basic models used to describe structure and its relationship to functionality, if they exist. This is the first book on nanostructures in foods, and is suitable as a textbook for undergraduate students in Chemistry, Physics and Food Science."--

Agrotechnology and Food Sciences. Food Sciences --- Agrotechnology and Food Sciences. Food Sciences --- Agrotechnology and Food Sciences. Food Sciences --- Food Analysis. --- Food --- Food --- Food --- Food --- Models, Theoretical. --- Nanostructured materials. --- Nanostructured materials. --- Nanostructures. --- Supramolecular chemistry. --- Supramolecular chemistry. --- Food Biotechnology. --- Food Chemistry --- Chemistry of Food Components. --- Food Chemistry --- Food Analysis. --- Analysis. --- Analysis. --- Biotechnology. --- Biotechnology.

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"In this book, Whitman Richards offers a novel and provocative proposal for understanding decision making and human behavior. Building on Valentino Braitenberg's famous 'vehicles, ' Richards describes a collection of mental organisms that he calls 'daemons'--virtual correlates of neural modules. Daemons have favored choices and make decisions that control behaviors of the group to which they belong, with each daemon preferring a different outcome. Richards arranges these preferences in graphs, linking similar choices, which thus reinforce each other. 'Anigrafs' refers to these two components--animals, or the mental organisms (agents or daemons), and the graphs that show similarity relations. Together these two components are the basis of a new cognitive architecture. In Richards's account, a collection of daemons compete for control of the cognitive system in which they reside; the challenge is to get the daemons to agree on one of many choices. Richards explores the results of group decisions, emphasizing the Condorcet voting procedure for aggregating preferences. A neural mechanism is proposed. Anigrafs presents a series of group decisions that incorporate simple and complex movements, as well as aspects of cognition and belief. Anigrafs concludes with a section on 'metagrafs, ' which chart relationships between different anigraf models"--MIT CogNet.

Cognition --- Group decision making --- Artificial intelligence --- Mental Processes --- Investigative Techniques --- Computing Methodologies --- Thinking --- Psychology, Social --- Behavior and Behavior Mechanisms --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Psychological Phenomena and Processes --- Information Science --- Psychiatry and Psychology --- Decision Making --- Artificial Intelligence --- Models, Theoretical --- Group Processes --- Social Sciences --- Psychology --- Cognition. --- Group decision making. --- Artificial intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Collective decision making --- Decision-making, Group --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Decision making --- COMPUTER SCIENCE/Artificial Intelligence --- COGNITIVE SCIENCES/General

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This volume highlights problems from a range of biological and medical applications that can be interpreted as questions about system behavior or control.  Topics include drug resistance in cancer and malaria, biological fluid dynamics, auto-regulation in the kidney, anti-coagulation therapy, evolutionary diversification and photo-transduction.  Mathematical techniques used to describe and investigate these biological and medical problems include ordinary, partial and stochastic differentiation equations, hybrid discrete-continuous approaches, as well as 2 and 3D numerical simulation. .

Mathematics. --- Mathematical and Computational Biology. --- Mathematical Applications in the Physical Sciences. --- Dynamical Systems and Ergodic Theory. --- Differentiable dynamical systems. --- Mathématiques --- Dynamique différentiable --- Mathematical analysis -- Data processing. --- Medicine -- Mathematical models. --- Medicine --- Biomathematics --- Molecular dynamics --- Phenomena and Processes --- Investigative Techniques --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Models, Theoretical --- Physiological Phenomena --- Biology --- Health & Biological Sciences --- Biology - General --- Mathematical models --- Mathematical analysis --- Mathematical models. --- Data processing. --- 517.1 Mathematical analysis --- Dynamics. --- Ergodic theory. --- Mathematical physics. --- Biomathematics. --- Differential dynamical systems --- Dynamical systems, Differentiable --- Dynamics, Differentiable --- Differential equations --- Global analysis (Mathematics) --- Topological dynamics --- Health Workforce --- Ergodic transformations --- Continuous groups --- Mathematical physics --- Measure theory --- Transformations (Mathematics) --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Physical mathematics

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Within our knowledge, the series of the International Conference on Cognitive Neurodynamics (ICCN) is the only conference series dedicating to cognitive neurodynamis. This volume is the proceedings of the 4th  International Conference on Cognitive Neurodynamics held in 2013, which reviews the progress in this field since  the 1st  ICCN - 2007. The topics include: Neural coding and realistic neural network dynamics, Neural population dynamics, Firing Oscillations and Patterns in Neuronal Networks, Brain imaging, EEG, MEG, Sensory and Motor Dynamics,  Global cognitive function, Multi-scalar Neurodynamics - from Physiology to Systems Theory, Neural computing, Emerging Technologies for Brain Computer Interfaces, Neural dynamics of brain disorders.

Biomedicine. --- Neurosciences. --- Nonlinear Dynamics. --- Physiological, Cellular and Medical Topics. --- Cognitive Psychology. --- Psychopharmacology. --- Medicine. --- Physiology --- Consciousness. --- Médecine --- Neurosciences --- Psychopharmacologie --- Conscience --- Mathematics. --- Physiology_xMathematics. --- Mathematics --- Models, Biological --- Cells --- Models, Theoretical --- Nervous System --- Central Nervous System --- Mental Processes --- Investigative Techniques --- Anatomy --- Psychological Phenomena and Processes --- Natural Science Disciplines --- Disciplines and Occupations --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Psychiatry and Psychology --- Brain --- Cognition --- Models, Neurological --- Nonlinear Dynamics --- Neurons --- Medicine --- Health & Biological Sciences --- Neurology --- Cognitive neuroscience --- Applications of Nonlinear Dynamics and Chaos Theory. --- Behavioral pharmacology --- Drugs --- Chemotherapy --- Pharmacology --- Psychotropic drugs --- Apperception --- Mind and body --- Perception --- Philosophy --- Psychology --- Spirit --- Self --- Animal physiology --- Animals --- Biology --- Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences --- Nervous system --- Psychotropic effects --- Statistical physics. --- Biomathematics. --- Cognitive psychology. --- Psychology, Cognitive --- Cognitive science --- Physics --- Mathematical statistics --- Statistical methods

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This book provides a theoretical background of branching processes and discusses their biological applications. Branching processes are a well-developed and powerful set of tools in the field of applied probability. The range of applications considered includes molecular biology, cellular biology, human evolution and medicine. The branching processes discussed include Galton-Watson, Markov, Bellman-Harris, Multitype, and General Processes. As an aid to understanding specific examples, two introductory chapters, and two glossaries are included that provide background material in mathematics and in biology. The book will be of interest to scientists who work in quantitative modeling of biological systems, particularly probabilists, mathematical biologists, biostatisticians, cell biologists, molecular biologists, and bioinformaticians. The authors are a mathematician and cell biologist who have collaborated for more than a decade in the field of branching processes in biology for this new edition. This second expanded edition adds new material published during the last decade, with nearly 200 new references. More material has been added on infinitely-dimensional multitype processes, including the infinitely-dimensional linear-fractional case. Hypergeometric function treatment of the special case of the Griffiths-Pakes infinite allele branching process has also been added. There are additional applications of recent molecular processes and connections with systems biology are explored, and a new chapter on genealogies of branching processes and their applications. Reviews of First Edition: "This is a significant book on applications of branching processes in biology, and it is highly recommended for those readers who are interested in the application and development of stochastic models, particularly those with interests in cellular and molecular biology." (Siam Review, Vol. 45 (2), 2003) “This book will be very interesting and useful for mathematicians, statisticians and biologists as well, and especially for researchers developing mathematical methods in biology, medicine and other natural sciences.” (Short Book Reviews of the ISI, Vol. 23 (2), 2003).

Mathematics. --- Mathematical and Computational Biology. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Probability Theory and Stochastic Processes. --- Bioinformatics. --- Cell Biology. --- Cytology. --- Distribution (Probability theory). --- Statistics. --- Mathématiques --- Bio-informatique --- Cytologie --- Distribution (Théorie des probabilités) --- Statistique --- Biology --- Branching processes --- Statistics as Topic --- Models, Theoretical --- Epidemiologic Methods --- Investigative Techniques --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Models, Biological --- Biometry --- Health & Biological Sciences --- Biology - General --- Mathematical models --- Biological Model --- Biological Models --- Model, Biological --- Models, Biologic --- Biologic Model --- Biologic Models --- Model, Biologic --- Investigative Technics --- Investigative Technic --- Investigative Technique --- Technic, Investigative --- Technics, Investigative --- Technique, Investigative --- Techniques, Investigative --- Epidemiologic Method --- Epidemiological Methods --- Methods, Epidemiologic --- Epidemiological Method --- Method, Epidemiologic --- Method, Epidemiological --- Methods, Epidemiological --- Epidemiology --- Experimental Model --- Experimental Models --- Mathematical Model --- Model, Experimental --- Models (Theoretical) --- Models, Experimental --- Models, Theoretic --- Theoretical Study --- Mathematical Models --- Model (Theoretical) --- Model, Mathematical --- Model, Theoretical --- Models, Mathematical --- Studies, Theoretical --- Study, Theoretical --- Theoretical Model --- Theoretical Models --- Theoretical Studies --- Area Analysis --- Correlation Studies --- Correlation Study --- Correlation of Data --- Data Analysis --- Estimation Technics --- Estimation Techniques --- Indirect Estimation Technics --- Indirect Estimation Techniques --- Multiple Classification Analysis --- Service Statistics --- Statistical Study --- Statistics, Service --- Tables and Charts as Topic --- Analyses, Area --- Analyses, Data --- Analyses, Multiple Classification --- Analysis, Area --- Analysis, Data --- Analysis, Multiple Classification --- Area Analyses --- Classification Analyses, Multiple --- Classification Analysis, Multiple --- Data Analyses --- Data Correlation --- Data Correlations --- Estimation Technic --- Estimation Technic, Indirect --- Estimation Technics, Indirect --- Estimation Technique --- Estimation Technique, Indirect --- Estimation Techniques, Indirect --- Indirect Estimation Technic --- Indirect Estimation Technique --- Multiple Classification Analyses --- Statistical Studies --- Studies, Correlation --- Studies, Statistical --- Study, Correlation --- Study, Statistical --- Technic, Estimation --- Technic, Indirect Estimation --- Technics, Estimation --- Technics, Indirect Estimation --- Technique, Estimation --- Technique, Indirect Estimation --- Techniques, Estimation --- Techniques, Indirect Estimation --- Processes, Branching --- methods --- Cell biology. --- Probabilities. --- Biomathematics. --- Distribution (Probability theory. --- Cell biology --- Cellular biology --- Cells --- Cytologists --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology --- Data processing --- Branching processes. --- Mathematical models. --- Statistics . --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk