Temat: mechanisms dynamics - Katalog OPAC zbiorów

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Tytuł:: The minimal-form modelling of mechanisms with friction
Modelowanie mechanizmów z tarciem w postaci równań o minimalnym wymiarze
Autorzy:: Blajer, W.
Markiewicz, A.
Powiązania:: https://bibliotekanauki.pl/articles/281202.pdf
Data publikacji:: 1998
Wydawca:: Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:: mechanisms dynamics
frictional effects
multibody systems
Źródło:: Journal of Theoretical and Applied Mechanics; 1998, 1; 163-187
1429-2955
Pojawia się w:: Journal of Theoretical and Applied Mechanics
Dostawca treści:: Biblioteka Nauki

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Tytuł:: Mathematics Serve to Orchestrate the Progression of Studies In Biological Sciences: Overview on Occasion of April, the Mathematics Awareness Month
Autorzy:: Khyade, Vitthalrao B.
Wanve, Hanumant V.
Powiązania:: https://bibliotekanauki.pl/articles/1177867.pdf
Data publikacji:: 2018
Wydawca:: Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:: Biomathematics
Quantitative Genetics; Population Dynamics; Supercomplex Mechanisms
Opis:: The mathematics and biology are the interdisciplinary approaches in the field of scientific research. Both, mathematics and biology deserve a wide range of applications. Mathematical biology or biomathematics is the study of mathematics for biology. One can derive the quantitative genetics through consideration of infinitesimal effects at a large number of gene loci, together with the assumption of linkage equilibrium or quasi-linkage equilibrium. Ronald Fisher made the intensive work on fundamental advances in statistics (Example: Analysis of Variance). This achievement by Ronald Fisher was through his work on quantitative genetics. The phylogenetics is one more important branch of population genetics that led to the extensive development of Biological sciences through Mathematics. The Phylogenetics is the branch dealing with the reconstruction and analysis of phylogenetic (evolutionary) trees and network based on inherited characteristics. Assumptions on the “Constant Population Size” belongs to many “Population Genetics” models. The population dynamics is treating the “Variable Population Size” as absence of genetic variation. History of such type of work goes back to the 19th century. Even as far as 1798. In 1798, Thomas Malthus formulated the first principle of population dynamics. This principle later became popularize as the “Malthusian Growth Model”. Alfred J. Lotka, in 1910 proposed the model of autocatalytic chemical reactions. Vito Volterra tried his best to extend this work and titled as “Lotka - Volterra Predator-Prey Equations”. Basically, Vito Volterra was Mathematician. The mathematical epidemiology is the study of infectious disease affecting populations. Upto some extent, the “Population dynamics” use to overlaps mathematical epidemiology. The mathematics and Biology, both are serving a lot to orchestrate the progression of the global research.
Źródło:: World Scientific News; 2018, 98; 140-149
2392-2192
Pojawia się w:: World Scientific News
Dostawca treści:: Biblioteka Nauki

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Tytuł:: Brownian dynamics for calculation of the single fiber deposition efficiency of submicron particles
Autorzy:: Sztuk, E.
Przekop, R.
Gradoń, L.
Powiązania:: https://bibliotekanauki.pl/articles/185526.pdf
Data publikacji:: 2012
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: nanocząstka
dynamika Browna
mechanizmy depozycji
nanoparticle
Brownian dynamics
additivity
deposition mechanisms
Lagrangian and Eulerian models
Opis:: The motion of submicron particles involves the deterministic terms resulting from the aerodynamic convection and/or electrostatic attraction, and the stochastic term from the thermal displacement of particles. The Langevin equation describes such behavior. The Brownian dynamics algorithm was used for integration of the Langevin equation for the calculation of the single fiber deposition efficiency. Additionally the deterministic and stochastic of the particle motion were derived, using the Lagrangian and Eulerian approaches of particle movement and balance, for the calculation of the single fiber deposition efficiency due to both mechanisms separately. Combination of the obtained results allows us for calculation of the coupling effect of inertia and interception with the Brownian diffusion in a form of correlation. The results of calculation show that the omitting of the coupling effect of particular mechanism and using the simple additive rule for determination of the single fiber deposition efficiency introduces significant error, especially for particles with diameter below 300 nm.
Źródło:: Chemical and Process Engineering; 2012, 33, 2; 279-290
0208-6425
2300-1925
Pojawia się w:: Chemical and Process Engineering
Dostawca treści:: Biblioteka Nauki

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