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Articles de revues sur le sujet « Processes and Dynamics »

Auteur : Grafiati

Publié le 10 mars 2023

Mis à jour le 31 juillet 2025

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1

Mukharlyamov, R. G., and Zh K. Kirgizbaev. "Modeling of dynamics processes and dynamics control." BULLETIN OF THE KARAGANDA UNIVERSITY-MATHEMATICS 114, no. 2 (2024): 165–77. http://dx.doi.org/10.31489/2024m2/165-177.

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Equations and methods of classical mechanics are used to describe the dynamics of technical systems containing elements of various physical nature, planning and management tasks of production and economic objects. The direct use of known dynamics equations with indefinite multipliers leads to an increase in deviations from the constraint equations in the numerical solution. Common methods of constraint stabilization, known from publications, are not always effective. In the general formulation, the problem of constraint stabilization was considered as an inverse problem of dynamics and it requ

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2

Dew, Ryan, Asim Ansari, and Yang Li. "Modeling Dynamic Heterogeneity Using Gaussian Processes." Journal of Marketing Research 57, no. 1 (2019): 55–77. http://dx.doi.org/10.1177/0022243719874047.

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Marketing research relies on individual-level estimates to understand the rich heterogeneity of consumers, firms, and products. While much of the literature focuses on capturing static cross-sectional heterogeneity, little research has been done on modeling dynamic heterogeneity, or the heterogeneous evolution of individual-level model parameters. In this work, the authors propose a novel framework for capturing the dynamics of heterogeneity, using individual-level, latent, Bayesian nonparametric Gaussian processes. Similar to standard heterogeneity specifications, this Gaussian process dynami

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3

Martínez-Grau, Héctor, Reto Jagher, F. Xavier Oms, Joan Anton Barceló, Salvador Pardo-Gordó, and Ferran Antolín. "Global Processes, Regional Dynamics?" Documenta Praehistorica 47 (December 1, 2020): 170–91. http://dx.doi.org/10.4312/dp.47.10.

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The goal of this paper is to discuss the validity of radiocarbon dates as a source of knowledge for explaining social dynamics over a large region and a long period of time. We have carefully selected c. 1000 14C dates for the time interval 8000–4000 cal BC within the northwestern Mediterranean area (NE Iberian Peninsula, SE France, N Italy) and Switzerland. Using statistical analysis, we have modelled the summed probability distribution of those dates for each of the analysed ecoregion and discussed the rhythms of neolithisation in these regions and the probability of social contact between p

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4

Fernández, J., A. Plastino, L. Diambra, and C. Mostaccio. "Dynamics of coevolutive processes." Physical Review E 57, no. 5 (1998): 5897–903. http://dx.doi.org/10.1103/physreve.57.5897.

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Behringer, Hans, Ralf Eichhorn, and Stefan Wallin. "Dynamics of biomolecular processes." Physica Scripta 87, no. 5 (2013): 058501. http://dx.doi.org/10.1088/0031-8949/87/05/058501.

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Weissman, Haim, and Shlomo Havlin. "Dynamics in multiplicative processes." Physical Review B 37, no. 10 (1988): 5994–96. http://dx.doi.org/10.1103/physrevb.37.5994.

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Jung, W., K. Lee, and C. A. Morales. "Dynamics of G-processes." Stochastics and Dynamics 20, no. 01 (2020): 2050037. http://dx.doi.org/10.1142/s0219493720500379.

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A G-process is briefly a process ([A. N. Carvalho, J. A. Langa and J. C. Robinson, Attractors for Infinite-Dimensional Non-Autonomous Dynamical Systems, Applied Mathematical Sciences, Vol. 182 (Springer, 2013)], [C. M. Dafermos, An invariance principle for compact processes, J. Differential Equations 9 (1971) 239–252], [P. E. Kloeden and M. Rasmussen, Nonautonomous Dynamical Systems, Mathematical Surveys and Monographs, Vol. 176 (Amer. Math. Soc., 2011)]) for which the role of evolution parameter is played by a general topological group [Formula: see text]. These processes are broad enough to

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Krapivsky, P. L. "Dynamics of repulsion processes." Journal of Statistical Mechanics: Theory and Experiment 2013, no. 06 (2013): P06012. http://dx.doi.org/10.1088/1742-5468/2013/06/p06012.

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9

Basheva, Olga, Ekaterina Chernikova, Mkrtych Ogannisyan, Elena Drandrova, and Marija Vedunova. "SOCIAL PROCESSES. SOCIAL DYNAMICS." Sociologicheskaja nauka i social'naja praktika 13, no. 2 (2025): 90–113. https://doi.org/10.19181/snsp.2025.13.2.5.

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One of the fundamental social processes caused by the global demographic transition is the increase in the number of elderly people with signs of age-related changes and even chronic neurological diseases. Such diseases are social, as they have a profound effect on the cognitive functions and physical abilities of a significant part of the population, moreover, they have a long preclinical phase that requires attention from society. In this regard, there is a public demand for the implementation of preventive measures for high-risk groups and the population as a whole, which can reduce the bur

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10

Němcová, Ingeborg. "Dynamics of socio-economic processes." Acta Informatica Pragensia 2, no. 2 (2013): 122–24. http://dx.doi.org/10.18267/j.aip.29.

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11

Fejgin, Naomi, and Ronit Hanegby. "Physical Educators’ Participation in Decision-Making Processes in Dynamic Schools." Journal of Teaching in Physical Education 18, no. 2 (1999): 141–58. http://dx.doi.org/10.1123/jtpe.18.2.141.

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Teacher participation in school decision-making processes is considered one of the major components of school dynamics. It is not known, however, whether all teachers participate in the process to the same extent. This study examines whether teacher participation is related to school dynamics and to subject matter taught. In a 3-step sequential model, the relative contribution of background variables, school measures, school dynamics, and subject matter taught to teacher participation was estimated. Findings showed that school dynamics had the strongest effect on teacher participation, but the

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12

Kondratenko, Leonid A., and Lubov I. Mironova. "Investigation of dynamics of roll forming processes." MATEC Web of Conferences 224 (2018): 01134. http://dx.doi.org/10.1051/matecconf/201822401134.

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This article contains the analysis of tube expander dynamics in complex interaction of structural elements of heat-exchange tubes attachment assembly in the process of roll-forming operation, description of dynamic process theoretical aspect. It is shown that torque variations lead to velocity fluctuations and influence the service life of operative parts of tube expander and quality of tube attachment assemblies.

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13

Jagers, Peter. "Branching Processes as Population Dynamics." Bernoulli 1, no. 1/2 (1995): 191. http://dx.doi.org/10.2307/3318688.

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14

Smith, Pamela K., Yidan Yin, Pamela K. Smith, et al. "Interpersonal Processes of Power Dynamics." Academy of Management Proceedings 2020, no. 1 (2020): 17588. http://dx.doi.org/10.5465/ambpp.2020.17588symposium.

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15

Wiggs, G. F. S. "Desert dune processes and dynamics." Progress in Physical Geography 25, no. 1 (2001): 53–79. http://dx.doi.org/10.1191/030913301667883129.

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16

Peseckis, Frank E. "Statistical dynamics of stable processes." Physical Review A 36, no. 2 (1987): 892–902. http://dx.doi.org/10.1103/physreva.36.892.

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17

Selim, H. M. "Soil Pollution: Processes and Dynamics." Soil Science 162, no. 12 (1997): 953–54. http://dx.doi.org/10.1097/00010694-199712000-00010.

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18

Loveland, P. "Soil pollution. Processes and dynamics." Geoderma 75, no. 1-2 (1997): 150–52. http://dx.doi.org/10.1016/s0016-7061(96)00082-1.

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19

Young, Scott. "Soil pollution, processes and dynamics." Environmental Pollution 94, no. 3 (1996): 363–64. http://dx.doi.org/10.1016/s0269-7491(97)84221-2.

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20

Brouwers, H. J. H. "Soil pollution, processes and dynamics." Journal of Hazardous Materials 54, no. 1-2 (1997): 137. http://dx.doi.org/10.1016/s0304-3894(97)89418-6.

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21

Velázquez-Quesada, Fernando R. "Reasoning Processes as Epistemic Dynamics." Axiomathes 25, no. 1 (2014): 41–60. http://dx.doi.org/10.1007/s10516-014-9255-6.

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22

Volpi, G. G. "Elementary processes in chemical dynamics." Pure and Applied Chemistry 62, no. 9 (1990): 1649–51. http://dx.doi.org/10.1351/pac199062091649.

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23

Balachandran, B. "Nonlinear dynamics of milling processes." Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences 359, no. 1781 (2001): 793–819. http://dx.doi.org/10.1098/rsta.2000.0755.

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24

Комиссаров, G. Komissarov, Рубцова, and N. Rubtsova. "Chain processes in cognitive dynamics." Complexity. Mind. Postnonclassic 3, no. 1 (2014): 70–78. http://dx.doi.org/10.12737/3399.

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The article discusses the construction of circuits only within random-access memory, additionally limited by attention. We propose a model explaining the features of the dynamics of solving problems on insight using N.N. Semenov’s theory of chain branching chemical reactions. When referring to long-term memory (and return from it with the result on the construction of a representation) the real average length of generalized mental chains can only increase, since it is known that the concepts and objects in it branched and associated with others. In circuit theory, the condition when values of

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25

Wiggs, Giles F. S. "Desert dune processes and dynamics." Progress in Physical Geography: Earth and Environment 25, no. 1 (2001): 53–79. http://dx.doi.org/10.1177/030913330102500103.

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This article reviews the advances made and problems encountered in the measurement, modelling and understanding of desert dune dynamics and processes in the last two decades. The main findings of three methods of investigation are reviewed: field studies, wind tunnel studies and mathematical modelling. Whilst major advances in field techniques have allowed an appreciation of the aerodynamic nature of sand dunes, particular problems with field research are evident in the measurement of aeolian processes on dune surfaces. Specifically, it is shown that attempts to ascertain shear stresses on dun

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26

Hayes, Robert A., and John Ralston. "The dynamics of wetting processes." Colloids and Surfaces A: Physicochemical and Engineering Aspects 93 (December 1994): 15–23. http://dx.doi.org/10.1016/0927-7757(94)02934-2.

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27

Hansson, Lennart, and Heikki Henttonen. "Rodent dynamics as community processes." Trends in Ecology & Evolution 3, no. 8 (1988): 195–200. http://dx.doi.org/10.1016/0169-5347(88)90006-7.

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28

Kirkby, M. J., and L. J. Bracken. "Gully processes and gully dynamics." Earth Surface Processes and Landforms 34, no. 14 (2009): 1841–51. http://dx.doi.org/10.1002/esp.1866.

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29

McKoy, Vincent, Diane Lynch, and Robert R. Lucchese. "Dynamics of molecular photoionization processes." International Journal of Quantum Chemistry 24, S17 (2009): 89–100. http://dx.doi.org/10.1002/qua.560240810.

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30

Ejima, Toshiaki. "Dynamics of Stochastic Relaxation Processes." Systems and Computers in Japan 20, no. 3 (2007): 68–77. http://dx.doi.org/10.1002/scj.4690200307.

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31

Blasone, M., S. De Siena, G. Lambiase, C. Matrella, and B. Micciola. "Entanglement dynamics in QED processes." Chaos, Solitons & Fractals 195 (June 2025): 116305. https://doi.org/10.1016/j.chaos.2025.116305.

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32

Lukyanov, G. "Studies of Dynamic Processes." Journal of Physics: Conference Series 2096, no. 1 (2021): 012166. http://dx.doi.org/10.1088/1742-6596/2096/1/012166.

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Abstract The traditional approach to experimental data processing is based on the estimation of the averaged characteristics of the process, such as mean, variance, and range. However, a deeper processing with the identification of the features of the non-wicked dynamic behavior of the process allows us to see those features that are very important for a more complete understanding of its essence. The article provides examples of identifying the features of the dynamic behavior of processes in the atmosphere, studying the dynamics of heat and mass transfer when air moves in the upper respirato

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33

Muniz-Chicharro, Abraham, Lane W. Votapka, Rommie E. Amaro, and Rebecca C. Wade. "Brownian dynamics simulations of biomolecular diffusional association processes." WIREs Comput Mol Sci. 13, no. 3 (2022): e1649. https://doi.org/10.5281/zenodo.8388056.

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Advanced Review: Brownian dynamics (BD) is a computational method to simulate molecular diffusion processes. Although the BD method has been developed over several decades and is well established, new methodological developments are improving its accuracy, widening its scope, and increasing its application. In biological applications, BD is used to investigate the diffusive behavior of molecules subject to forces due to intermolecular interactions or interactions with material surfaces. BD can be used to compute rate constants for diffusional association, generate structures of encounter compl

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34

Kuzenov, V. V., and S. V. Ryzhkov. "Mathematical Modeling of Plasma Dynamics for Processes in Capillary Discharges." Nelineinaya Dinamika 15, no. 4 (2019): 543–50. http://dx.doi.org/10.20537/nd190413.

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35

Cerdà, Artemi. "Post-fire dynamics of erosional processes under Mediterranean climatic conditions." Zeitschrift für Geomorphologie 42, no. 3 (1998): 373–98. http://dx.doi.org/10.1127/zfg/42/1998/373.

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36

Khramchenkov, Maxim, and Eduard Khramchenkov. "Rheological aspects of underground fluid dynamics and mass exchange processes." Epitoanyag - Journal of Silicate Based and Composite Materials 68, no. 2 (2016): 34–38. http://dx.doi.org/10.14382/epitoanyag-jsbcm.2016.6.

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DENISENKO, IRINA YE. "DYNAMICS OF LANGUAGE PROCESSES IN BELGIUM." Cherepovets State University Bulletin 2, no. 101 (2021): 23–32. http://dx.doi.org/10.23859/1994-0637-2021-2-101-2.

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The article reveals the content of the terms “borrowing”, “belgicism”, “regionalism” in the framework of the comparative study of the Belgian version of the French language and the metropolitan French language. The research focuses on the regionalisms in the Belgian version of the French language, which, along with the standard Belgian French, constitute an important part of the vocabulary, have special features in terms of content or expression in comparison with lexis of the metropolitan French language. The author focuses on the contextual analysis of the lexis in the Belgian French and the

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38

Munitsyna, M. A. "Transition Processes in Tippe-Top Dynamics." Mechanics of Solids 55, no. 8 (2020): 1178–84. http://dx.doi.org/10.3103/s0025654420080178.

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Kahn, E. Michael, I. Terry Sturke, and Janet Schaeffer. "Inpatient Group Processes Parallel Unit Dynamics." International Journal of Group Psychotherapy 42, no. 3 (1992): 407–18. http://dx.doi.org/10.1080/00207284.1992.11490708.

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40

Martinez-Valderrama, Jaime, Javier Ibáñez, Rolando Gartzia, and Francisco J. https://orcid.org/0000-0002-8165-8669. "System Dynamics for understanding desertification processes." Ecosistemas 30, no. 3 (2021): 2191. http://dx.doi.org/10.7818/ecos.2191.

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La desertificación es un proceso complejo y contraintuitivo cuyo estudio demanda un enfoque multidisciplinar. Ello la convierte en un campo de investigación ideal sobre el que aplicar la Dinámica de Sistemas (DS). Se trata de una metodología de construcción de modelos dinámicos de simulación por ordenador que se concibe como herramienta de apoyo para el estudio y la gestión de problemas que, especialmente, muestren las características aludidas. Este artículo repasa los fundamentos de la metodología, muestra sus ventajas y desventajas, e ilustra su funcionamiento con un caso de estudio de deser

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41

Caridade, P. J. S. B., J. Sabin, J. D. Garrido, and A. J. C. Varandas. "Dynamics of OH + O2vibrational relaxation processes." Phys. Chem. Chem. Phys. 4, no. 20 (2002): 4959–69. http://dx.doi.org/10.1039/b203101a.

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42

Abbott, Jason P., and Sophie Gregorios-Pippas. "Islamization in Malaysia: processes and dynamics." Contemporary Politics 16, no. 2 (2010): 135–51. http://dx.doi.org/10.1080/13569771003783851.

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43

HAYAKAWA, HISAO. "FRACTIONAL DYNAMICS IN PHASE ORDERING PROCESSES." Fractals 01, no. 04 (1993): 947–53. http://dx.doi.org/10.1142/s0218348x93001003.

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The growth kinetics of a system with O(n) symmetric order parameter quenched into the ordered phase from the disordered phase, is considered based on the fractional dynamics model which is the time-dependent Ginzburg-Landau (TDGL) model with long-range interactions and locally non-conserved but globally conserved order parameter. A solution for the spatial correlation function in the spherical limit (n=∞) displays a multiscaling property. This multiscaling disappears in cases of large but finite n or pure non-conserved dynamics. It is found that the spatial correlation function in the fraction

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44

Philpott, D. R. "Vortex processes and Solid Body Dynamics." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 211, no. 1 (1997): 64–65. http://dx.doi.org/10.1177/095441009721100103.

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Khoromskaia, Diana, Rosemary J. Harris, and Stefan Grosskinsky. "Dynamics of non-Markovian exclusion processes." Journal of Statistical Mechanics: Theory and Experiment 2014, no. 12 (2014): P12013. http://dx.doi.org/10.1088/1742-5468/2014/12/p12013.

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46

Bestehorn, Michael. "IMA8 – Interfacial Fluid Dynamics and Processes." European Physical Journal Special Topics 226, no. 6 (2017): 1151–53. http://dx.doi.org/10.1140/epjst/e2017-70057-9.

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Kitano, Hiromi, and Norio Ise. "Dynamics of association and recognition processes." Kobunshi 38, no. 8 (1989): 824–27. http://dx.doi.org/10.1295/kobunshi.38.824.

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48

APOLLONI, ANDREA, and FLORIANA GARGIULO. "DIFFUSION PROCESSES THROUGH SOCIAL GROUPS' DYNAMICS." Advances in Complex Systems 14, no. 02 (2011): 151–67. http://dx.doi.org/10.1142/s0219525911003037.

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Axelrod's model describes the dissemination of a set of cultural traits in a society constituted by individual agents. In a social context, nevertheless, individual choices toward a specific attitude are also at the basis of the formation of communities, groups and parties. The membership in a group changes completely the behavior of single agents who start acting according to a social identity. Groups act and interact among them as single entities, but still conserve an internal dynamics. We show that, under certain conditions of social dynamics, the introduction of group dynamics in a cultur

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Johansson, Börje. "Dynamics of Metropolitan processes and policies.Introduction." Scandinavian Housing and Planning Research 2, no. 3-4 (1985): 115–23. http://dx.doi.org/10.1080/02815738508730068.

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Laplaze, D., L. Alvarez, T. Guillard, J. M. Badie, and G. Flamant. "Carbon nanotubes: dynamics of synthesis processes." Carbon 40, no. 10 (2002): 1621–34. http://dx.doi.org/10.1016/s0008-6223(02)00005-2.

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