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Dynamic systems theory and embodiment in psychotherapy research. A new look at process and outcome

Authors: --- --- ---
Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889197804 Year: Pages: 151 DOI: 10.3389/978-2-88919-780-4 Language: English
Publisher: Frontiers Media SA
Subject: Psychology --- Science (General)
Added to DOAB on : 2017-02-03 17:04:57
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In an attempt to cease from reducing the world and its phenomena to linear modeling and analytic dissection, Dynamic Systems Theories (DST) and Embodiment theories and methods aim to account for the complex, dynamic, and non-linear phenomena that we constantly deal with in psychology. For instance, a DST and Embodiment perspective can enrich psychology’s understanding of communicative processes both in clinical and non-clinical settings. In psychotherapy, research has shown that there are a number of common factors contributing to psychotherapy outcome, of which the therapeutic relationship is the most important one. These findings give communication a central role in the psychotherapy process. In the traditional view, the underlying model of understanding psychotherapy processes is that of a number of components summatively coming together enabling us to make a linear causal prediction. Yet, communication is inherently dynamic. A shift to viewing the communication process in psychotherapy as a field dynamic phenomenon helps us to take into account nonlinear phenomena, such as feedback processes within and between persons. We thus propose an embodied enactive dynamic systems view as a new theoretical and methodological perspective that can more realistically capture what happens among and between two persons in psychotherapy. This view is broader than that of most current models in psychotherapy research. DST and Embodied Enactive Approaches can offer solutions to the prevailing neglect of non-linear phenomena in Western science, to better account for the complex dynamics of reality, and to move to a more holistic level of analysis. DST and Embodied Enactive Approaches have developed not in a single discipline but in a joined movement based on various fields such as physics, biology, robotics, anthropology, philosophy, linguistics, neuroscience, and psychology, and have only recently entered clinical theorizing. The two new paradigms are presently triggering a rethinking of the therapeutic process by recognizing the embodied nature of psychological and communicative phenomena. Their integration opens up a promising scenario in the field of psychotherapy research, developing new, profoundly transdisciplinary, theoretical concepts, methodologies, and standards of knowledge. The notion of field dynamics enables us to account for the role of the communicational context in the regulation of intra-psychological processes, while at the same time avoiding the pitfalls of an ontologization of the hierarchy of systemic organization. Moreover, the new approach implements methodological strategies that can transcend the conventional opposition between idiographic and nomothetic sciences.

Polymer Micelles

Authors: --- --- ---
ISBN: 9783038428077 9783038428084 Year: Pages: VIII, 220 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Biochemistry
Added to DOAB on : 2018-04-20 15:30:28
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Classically, polymer micelles have been defined as aggregates formed by the self-association of amphiphilic polymers due to the hydrophobic interactions between polymer molecules in water. Practical applications of polymer micelles include as carriers in drug delivery systems, as solubilizers, and as associative thickeners. Polymer micelles that do not fall within the classical definition have recently been reported and reflect important developments in synthesis and analysis. For example, hydrophobic interactions are the classic force driving polymer association, whereas recently, micelles have been formed through interactions such as electrostatics, hydrogen bonds, and coordination bonds. Intermolecular association results in the formation of polymer micelles that are similar to micelles formed from low molecular weight surfactants, whereas unimolecular micelles formed by intramolecular association within a single polymer chain have also been reported, as have stimuli-responsive polymer micelles. It is therefore important to constantly update the information available and our knowledge of polymer micelles. This special issue covers synthesis, characterization, solution properties, association behavior, simulation, and the application of polymer micelles and polymer aggregates. The aim of this issue is to expand our knowledge of polymer micelles by gathering together the latest basic and applied information regarding these supramolecular structures.

Neural Masses and Fields: Modelling the Dynamics of Brain Activity

Authors: --- --- ---
Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889194278 Year: Pages: 237 DOI: 10.3389/978-2-88919-427-8 Language: English
Publisher: Frontiers Media SA
Subject: Neurology --- Science (General)
Added to DOAB on : 2016-01-19 14:05:46
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Biophysical modelling of brain activity has a long and illustrious history and has recently profited from technological advances that furnish neuroimaging data at an unprecedented spatiotemporal resolution. Neuronal modelling is a very active area of research, with applications ranging from the characterization of neurobiological and cognitive processes, to constructing artificial brains in silico and building brain-machine interface and neuroprosthetic devices. Biophysical modelling has always benefited from interdisciplinary interactions between different and seemingly distant fields; ranging from mathematics and engineering to linguistics and psychology. This Research Topic aims to promote such interactions by promoting papers that contribute to a deeper understanding of neural activity as measured by fMRI or electrophysiology.In general, mean field models of neural activity can be divided into two classes: neural mass and neural field models. The main difference between these classes is that field models prescribe how a quantity characterizing neural activity (such as average depolarization of a neural population) evolves over both space and time as opposed to mass models, which characterize activity over time only; by assuming that all neurons in a population are located at (approximately) the same point. This Research Topic focuses on both classes of models and considers several aspects and their relative merits that: span from synapses to the whole brain; comparisons of their predictions with EEG and MEG spectra of spontaneous brain activity; evoked responses, seizures, and fitting data - to infer brain states and map physiological parameters.

Development of Microbial Ecological Theory: Stability, Plasticity, and Evolution of Microbial Ecosystems

Authors: --- ---
Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889451692 Year: Pages: 156 DOI: 10.3389/978-2-88945-169-2 Language: English
Publisher: Frontiers Media SA
Subject: Microbiology --- Science (General)
Added to DOAB on : 2017-08-28 14:01:09
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“How can we develop microbial ecological theory?” The development of microbial ecological theory has a long way to reach its goal. Advances in microbial ecological techniques provide novel insights into microbial ecosystems. Articles in this book are challenging to determine the central and general tenets of the ecological theory that describes the features of microbial ecosystems. Their achievements expand the frontiers of current microbial ecology and propose the next step. Assemblage of these diverse articles hopefully helps to go on this long journey with many avenues for advancement of microbial ecology.

Liquid Crystals: From Modified Phases to Applications 2014

ISBN: 9783906980850 9783906980867 Year: Pages: 320
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Added to DOAB on : 2015-10-22 06:24:45
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Liquid crystals can be found in both synthetic and natural materials, which include DNA, cellulose, soaps, and cholesteryl esters. Liquid crystal basic concepts are an inspiration for various branches of physics, chemistry, materials science, mathematics, biology, and engineering. These concepts enable the synthesis and characterization of new materials with low-molecular weight, as well as of polymeric and elastomeric materials. Fundamental theories and models of liquid crystals have gained great importance in many scientific communities. The concepts of orientational order and cooperative molecular behavior have entered the actual basic knowledge of the bio-sciences community, and have contributed to the understanding of muscle function, cell division and membranes, and morphogenesis.Recent trends in liquid crystal research include topics such as polymer-modified anisotropic fluids, dispersions of liquid crystals with various nano-sized particles, topological defects in soft materials, new lyotropic systems, liquid crystal functionality in living systems, and the synthesis of liquid crystal based functional materials (e.g., photonic materials, organic plastic conductors, semiconductors, materials in sensors, materials used in switchable GHz applications, and materials for data storage), along with the study of these materials’ properties and applications.

Projection-Based Clustering through Self-Organization and Swarm Intelligence: Combining Cluster Analysis with the Visualization of High-Dimensional Data

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ISBN: 9783658205393 9783658205409 Year: Pages: 201 DOI: https://doi.org/10.1007/978-3-658-20540-9 Language: English
Publisher: Springer Grant: Philipps-Universität Marburg
Subject: Mathematics
Added to DOAB on : 2018-06-29 15:12:23
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This book covers aspects of unsupervised machine learning used for knowledge discovery in data science and introduces a data-driven approach to cluster analysis, the Databionic swarm (DBS). DBS consists of the 3D landscape visualization and clustering of data. The 3D landscape enables 3D printing of high-dimensional data structures.The clustering and number of clusters or an absence of cluster structure are verified by the 3D landscape at a glance. DBS is the first swarm-based technique that shows emergent properties while exploiting concepts of swarm intelligence, self-organization and the Nash equilibrium concept from game theory. It results in the elimination of a global objective function and the setting of parameters. By downloading the R package DBS can be applied to data drawn from diverse research fields and used even by non-professionals in the field of data mining.

Dynamics Days Latin America and the Caribbean 2018

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ISBN: 9783039215034 / 9783039215041 Year: Pages: 142 DOI: 10.3390/books978-3-03921-504-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Mathematics
Added to DOAB on : 2019-12-09 16:10:12
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This book contains various works presented at the Dynamics Days Latin America and the Caribbean (DDays LAC) 2018. Since its beginnings, a key goal of the DDays LAC has been to promote cross-fertilization of ideas from different areas within nonlinear dynamics. On this occasion, the contributions range from experimental to theoretical research, including (but not limited to) chaos, control theory, synchronization, statistical physics, stochastic processes, complex systems and networks, nonlinear time-series analysis, computational methods, fluid dynamics, nonlinear waves, pattern formation, population dynamics, ecological modeling, neural dynamics, and systems biology. The interested reader will find this book to be a useful reference in identifying ground-breaking problems in Physics, Mathematics, Engineering, and Interdisciplinary Sciences, with innovative models and methods that provide insightful solutions. This book is a must-read for anyone looking for new developments of Applied Mathematics and Physics in connection with complex systems, synchronization, neural dynamics, fluid dynamics, ecological networks, and epidemics.

Selected Papers from the 8th Symposium on Micro-Nano Science and Technology on Micromachines

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ISBN: 9783038977285 / 9783038977292 Year: Pages: 154 DOI: 10.3390/books978-3-03897-729-2 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General)
Added to DOAB on : 2019-08-28 11:21:27
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This Special Issue presents selected papers from the 8th

Swarm Robotics

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ISBN: 9783038979227 / 9783038979234 Year: Pages: 310 DOI: 10.3390/books978-3-03897-923-4 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2019-06-26 08:44:06
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Collectively working robot teams can solve a problem more efficiently than a single robot, while also providing robustness and flexibility to the group. Swarm robotics model is a key component of a cooperative algorithm that controls the behaviors and interactions of all individuals. The robots in the swarm should have some basic functions, such as sensing, communicating, and monitoring, and satisfy the following properties:

Keywords

3D model identification --- shape normalization --- weighted implicit shape representation --- panoramic view --- scale-invariant feature transform --- optimization --- meta-heuristic --- parallel technique --- Swarm intelligence algorithm --- artificial flora (AF) algorithm --- bionic intelligent algorithm --- particle swarm optimization --- artificial bee colony algorithm --- swarm robotics --- search --- surveillance --- behaviors --- patterns --- comparison --- swarm behavior --- Swarm Chemistry --- self-organization --- asymmetrical interaction --- genetic algorithm --- cooperative target hunting --- multi-AUV --- improved potential field --- surface-water environment --- signal source localization --- multi-robot system --- event-triggered communication --- consensus control --- time-difference-of-arrival (TDOA) --- Cramer–Rao low bound (CRLB) --- optimal configuration --- UAV swarms --- path optimization --- multiple robots --- formation --- sliding mode controller --- nonlinear disturbance observer --- system stability --- formation control --- virtual structure --- formation reconfiguration --- multi-agents --- robotics --- unmanned aerial vehicle --- swarm intelligence --- particle swarm optimization --- search algorithm --- underwater environment --- sensor deployment --- event-driven coverage --- fish swarm optimization --- congestion control --- modular robots --- self-assembly robots --- environmental perception --- target recognition --- autonomous docking --- formation control --- virtual linkage --- virtual structure --- formation reconfiguration --- mobile robots --- robotics --- swarm robotics --- formation control --- coordinate motion --- obstacle avoidance --- n/a

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