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Journal articles on the topic 'Mechanistic model'

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Published: 4 June 2021
Last updated: 27 January 2024

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1

Belov, P. A., and S. A. Lurie. "Mechanistic Model of Gravitation." Lobachevskii Journal of Mathematics 44, no. 6 (June 2023): 2240–50. http://dx.doi.org/10.1134/s1995080223060094.

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2

Riggs, James B., Martin H. Beauford, and Jackie C. Watts. "Model-based control using mechanistic, nonlinear models." ISA Transactions 33, no. 2 (July 1994): 141–46. http://dx.doi.org/10.1016/0019-0578(94)90045-0.

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3

Suleymanov, V. A., and O. A. Bychkova. "New mechanistic model for gas flow with small liquid rates in pipelines." "Proceedings" of "OilGasScientificResearchProjects" Institute, SOCAR, no. 3 (June 30, 2011): 55–61. http://dx.doi.org/10.5510/ogp20110300083.

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4

Michalski, Jacek A., and Slawomir Jakiela. "Spherical Droplet Deposition—Mechanistic Model." Coatings 11, no. 2 (February 19, 2021): 248. http://dx.doi.org/10.3390/coatings11020248.

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In the currently existing physical models of wetting a solid substrate by a liquid drop, the contact angle is determined on the basis of the equilibrium of forces acting tangentially to the wetted surface at any point in the perimeter of the wetted area, ignoring the forces (or their components) acting perpendicular to this area. In the solution shown in the paper, the equilibrium state of forces acting on a droplet was determined based on the minimum mechanical energy that the droplet achieves in the state of equilibrium. This approach allows one to take into account in the model, in addition to the forces tangential to the wetted surface, also forces perpendicular to it (also the force of adhesion), moreover, these may be dispersed forces acting on the entire interface, not on a single point. The correctness of this approach is confirmed by the derived equations concerning the forces acting on the liquid both tangentially and perpendicularly to the wetted surface. The paper also identifies the areas of solutions in which the obtained equilibrium of forces is stable and areas of unstable equilibrium of forces. The solution is formulated both for isothermal and isochoric system. Based on the experimental data accessible in the literature, the condition that has to be met by the droplets (and their surroundings) during measurements performed under gravity conditions was formulated.
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5

Chua, K. H., and C. L. Monismith. "Mechanistic Model for Transition Probabilities." Journal of Transportation Engineering 120, no. 1 (January 1994): 144–59. http://dx.doi.org/10.1061/(asce)0733-947x(1994)120:1(144).

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6

Casini, Lorenzo. "How to Model Mechanistic Hierarchies." Philosophy of Science 83, no. 5 (December 2016): 946–58. http://dx.doi.org/10.1086/687877.

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7

MARSHALL, HELEN L., RICHARD J. GEIDER, and KEVIN J. FLYNN. "A mechanistic model of photoinhibition." New Phytologist 145, no. 2 (February 2000): 347–59. http://dx.doi.org/10.1046/j.1469-8137.2000.00575.x.

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8

Zaheri, Maryam, Linda Dib, and Nicolas Salamin. "A Generalized Mechanistic Codon Model." Molecular Biology and Evolution 31, no. 9 (June 23, 2014): 2528–41. http://dx.doi.org/10.1093/molbev/msu196.

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9

Wright, A. Armean, Ghassan N. Fayad, James F. Selgrade, and Mette S. Olufsen. "Mechanistic model of hormonal contraception." PLOS Computational Biology 16, no. 6 (June 29, 2020): e1007848. http://dx.doi.org/10.1371/journal.pcbi.1007848.

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10

Severtson, Steven J., and Sujit Banerjee. "Mechanistic model for collisional desorption." Environmental Science & Technology 27, no. 8 (August 1993): 1690–92. http://dx.doi.org/10.1021/es00045a028.

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11

Barbieri, Marcello. "A Mechanistic Model of Meaning." Biosemiotics 4, no. 1 (November 16, 2010): 1–4. http://dx.doi.org/10.1007/s12304-010-9103-z.

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12

Tranquillo, Robert T., and J. D. Murray. "Mechanistic Model of Wound Contraction." Journal of Surgical Research 55, no. 2 (August 1993): 233–47. http://dx.doi.org/10.1006/jsre.1993.1135.

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13

Colomer, F. LLavador, and D. Prats Rico. "Mechanistic model for facultative stabilization ponds." Water Environment Research 65, no. 5 (July 1993): 679–85. http://dx.doi.org/10.2175/wer.65.5.11.

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14

Berthelot, Curtis F., Gordon A. Sparks, Terry Blomme, Lyle Kajner, and Mark Nickeson. "Mechanistic-Probabilistic Vehicle Operating Cost Model." Journal of Transportation Engineering 122, no. 5 (September 1996): 337–41. http://dx.doi.org/10.1061/(asce)0733-947x(1996)122:5(337).

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15

Fernandez, Charles A., Gerald M. Saidel, Paul S. Malchesky, and Maciej Zborowski. "A mechanistic model of plasma filtration." Medical Engineering & Physics 20, no. 5 (July 1998): 383–92. http://dx.doi.org/10.1016/s1350-4533(98)00021-6.

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16

Barrett, Jeff M., and Jack P. Callaghan. "A mechanistic damage model for ligaments." Journal of Biomechanics 61 (August 2017): 11–17. http://dx.doi.org/10.1016/j.jbiomech.2017.06.039.

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17

Dorokhov, Yuri L., Natalia M. Ershova, Ekaterina V. Sheshukova, and Tatiana V. Komarova. "Plasmodesmata Conductivity Regulation: A Mechanistic Model." Plants 8, no. 12 (December 12, 2019): 595. http://dx.doi.org/10.3390/plants8120595.

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Plant cells form a multicellular symplast via cytoplasmic bridges called plasmodesmata (Pd) and the endoplasmic reticulum (ER) that crosses almost all plant tissues. The Pd proteome is mainly represented by secreted Pd-associated proteins (PdAPs), the repertoire of which quickly adapts to environmental conditions and responds to biotic and abiotic stresses. Although the important role of Pd in stress-induced reactions is universally recognized, the mechanisms of Pd control are still not fully understood. The negative role of callose in Pd permeability has been convincingly confirmed experimentally, yet the roles of cytoskeletal elements and many PdAPs remain unclear. Here, we discuss the contribution of each protein component to Pd control. Based on known data, we offer mechanistic models of mature leaf Pd regulation in response to stressful effects.
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18

Foster, Kelly A., Andrew T. Mackey, and Susan P. Gilbert. "A Mechanistic Model for Ncd Directionality." Journal of Biological Chemistry 276, no. 22 (March 2, 2001): 19259–66. http://dx.doi.org/10.1074/jbc.m008347200.

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19

Wright, N. G., C. M. Johnson, and A. G. O’Neill. "Mechanistic model for oxidation of SiC." Materials Science and Engineering: B 61-62 (July 1999): 468–71. http://dx.doi.org/10.1016/s0921-5107(98)00557-1.

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20

Berec, Luděk, and Vlastimil Křivan. "A Mechanistic Model for Partial Preferences." Theoretical Population Biology 58, no. 4 (December 2000): 279–89. http://dx.doi.org/10.1006/tpbi.2000.1491.

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21

Bajpai, R. K., and M. Reuß. "A mechanistic model for penicillin production." Journal of Chemical Technology and Biotechnology 30, no. 1 (May 29, 2007): 332–44. http://dx.doi.org/10.1002/jctb.503300140.

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22

Efendi, Erwan, Nanda Ramadhan, Maya Sari, Shadrina Asya, and Fahmi Alhadi. "Model dan Proses Komunikasi." VISA: Journal of Vision and Ideas 3, no. 3 (November 6, 2023): 586–91. http://dx.doi.org/10.47467/visa.v3i3.643.

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Psychological and mechanistic paradigms are two different approaches to understanding and explaining human phenomena and the world around them. The psychology paradigm involves the study of human thoughts, behavior, and mental processes. This approach focuses on understanding how individuals think, feel, and act. Psychological paradigms include various theories and methods used to study human psychological aspects. On the other hand, the mechanistic paradigm involves the view that the world can be explained and understood through the principles of mechanics and causality. These two paradigms have differences in the way they view and explain human phenomena and the world. The psychological paradigm focuses more on the psychological and mental aspects of humans, while the mechanistic paradigm focuses more on the physical and mechanical aspects
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23

S, Malini, Kalyan Raj, and Suresha N. "KINETICS AND MECHANISTIC MODEL FOR OXIDATION OF PREGABALIN BY CHLORAMINE-B IN ACID MEDIUM." Indian Research Journal of Pharmacy and Science 7, no. 1 (March 2020): 2063–73. http://dx.doi.org/10.21276/irjps.2020.7.1.5.

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24

Kim, Hyungsub, and Hyeong-Seok Lim. "Mechanistic ligand-receptor interaction model: operational model of agonism." Translational and Clinical Pharmacology 26, no. 3 (2018): 115. http://dx.doi.org/10.12793/tcp.2018.26.3.115.

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25

Gernaey, K. V., J. M. Woodley, A. Eliasson Lantz, and G. Sin. "Mechanistic models and advanced model analysis within a PAT framework." New Biotechnology 25 (September 2009): S242. http://dx.doi.org/10.1016/j.nbt.2009.06.235.

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26

Medinsky, Michele A., Elaina M. Kenyon, Mark J. Seaton, and Paul M. Schlosser. "Mechanistic Considerations in Benzene Physiological Model Development." Environmental Health Perspectives 104 (December 1996): 1399. http://dx.doi.org/10.2307/3433196.

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27

Kraikivski, Pavel. "A Dynamic Mechanistic Model of Perceptual Binding." Mathematics 10, no. 7 (April 1, 2022): 1135. http://dx.doi.org/10.3390/math10071135.

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The brain’s ability to create a unified conscious representation of an object by integrating information from multiple perception pathways is called perceptual binding. Binding is crucial for normal cognitive function. Some perceptual binding errors and disorders have been linked to certain neurological conditions, brain lesions, and conditions that give rise to illusory conjunctions. However, the mechanism of perceptual binding remains elusive. Here, I present a computational model of binding using two sets of coupled oscillatory processes that are assumed to occur in response to two different percepts. I use the model to study the dynamic behavior of coupled processes to characterize how these processes can modulate each other and reach a temporal synchrony. I identify different oscillatory dynamic regimes that depend on coupling mechanisms and parameter values. The model can also discriminate different combinations of initial inputs that are set by initial states of coupled processes. Decoding brain signals that are formed through perceptual binding is a challenging task, but my modeling results demonstrate how crosstalk between two systems of processes can possibly modulate their outputs. Therefore, my mechanistic model can help one gain a better understanding of how crosstalk between perception pathways can affect the dynamic behavior of the systems that involve perceptual binding.
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28

Medinsky, M. A., E. M. Kenyon, M. J. Seaton, and P. M. Schlosser. "Mechanistic considerations in benzene physiological model development." Environmental Health Perspectives 104, suppl 6 (December 1996): 1399–404. http://dx.doi.org/10.1289/ehp.961041399.

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29

Park, Young‐Ji, and Alfredo H. ‐S Ang. "Mechanistic Seismic Damage Model for Reinforced Concrete." Journal of Structural Engineering 111, no. 4 (April 1985): 722–39. http://dx.doi.org/10.1061/(asce)0733-9445(1985)111:4(722).

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30

Geider, JR, and T. Piatt. "A mechanistic model of photoadaptation in microalgae." Marine Ecology Progress Series 30 (1986): 85–92. http://dx.doi.org/10.3354/meps030085.

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31

Loreau, M. "Biodiversity and ecosystem functioning: A mechanistic model." Proceedings of the National Academy of Sciences 95, no. 10 (May 12, 1998): 5632–36. http://dx.doi.org/10.1073/pnas.95.10.5632.

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32

Healy, Alan R., Herman Nikolayevskiy, Jaymin R. Patel, Jason M. Crawford, and Seth B. Herzon. "A Mechanistic Model for Colibactin-Induced Genotoxicity." Journal of the American Chemical Society 138, no. 48 (November 28, 2016): 15563–70. http://dx.doi.org/10.1021/jacs.6b10354.

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33

Savage, Natasha S., Anita T. Layton, and Daniel J. Lew. "Mechanistic mathematical model of polarity in yeast." Molecular Biology of the Cell 23, no. 10 (May 15, 2012): 1998–2013. http://dx.doi.org/10.1091/mbc.e11-10-0837.

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The establishment of cell polarity involves positive-feedback mechanisms that concentrate polarity regulators, including the conserved GTPase Cdc42p, at the “front” of the polarized cell. Previous studies in yeast suggested the presence of two parallel positive-feedback loops, one operating as a diffusion-based system, and the other involving actin-directed trafficking of Cdc42p on vesicles. F-actin (and hence directed vesicle traffic) speeds fluorescence recovery of Cdc42p after photobleaching, suggesting that vesicle traffic of Cdc42p contributes to polarization. We present a mathematical modeling framework that combines previously developed mechanistic reaction-diffusion and vesicle-trafficking models. Surprisingly, the combined model recapitulated the observed effect of vesicle traffic on Cdc42p dynamics even when the vesicles did not carry significant amounts of Cdc42p. Vesicle traffic reduced the concentration of Cdc42p at the front, so that fluorescence recovery mediated by Cdc42p flux from the cytoplasm took less time to replenish the bleached pool. Simulations in which Cdc42p was concentrated into vesicles or depleted from vesicles yielded almost identical predictions, because Cdc42p flux from the cytoplasm was dominant. These findings indicate that vesicle-mediated delivery of Cdc42p is not required to explain the observed Cdc42p dynamics, and raise the question of whether such Cdc42p traffic actually contributes to polarity establishment.
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34

Ponugoti, Prakash V., and Vinod M. Janardhanan. "Mechanistic Kinetic Model for Biogas Dry Reforming." Industrial & Engineering Chemistry Research 59, no. 33 (July 27, 2020): 14737–46. http://dx.doi.org/10.1021/acs.iecr.0c02433.

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35

Ko, Tae Jo, and Hee Sool Kim. "Mechanistic cutting force model in band sawing." International Journal of Machine Tools and Manufacture 39, no. 8 (August 1999): 1185–97. http://dx.doi.org/10.1016/s0890-6955(98)00087-x.

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36

Misra, Anil. "Mechanistic Model for Contact between Rough Surfaces." Journal of Engineering Mechanics 123, no. 5 (May 1997): 475–84. http://dx.doi.org/10.1061/(asce)0733-9399(1997)123:5(475).

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37

Bindschadler, M., E. A. Osborn, C. F. Dewey, and J. L. McGrath. "A Mechanistic Model of the Actin Cycle." Biophysical Journal 86, no. 5 (May 2004): 2720–39. http://dx.doi.org/10.1016/s0006-3495(04)74326-x.

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38

Yeoh, Jing Wui, Alberto Corrias, and Martin L. Buist. "A mechanistic model of a PDGFRα+ cell." Journal of Theoretical Biology 408 (November 2016): 127–36. http://dx.doi.org/10.1016/j.jtbi.2016.08.004.

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39

Li, W. I., and Ryan Turncliff. "A mechanistic Pk/Pd model of buprenorphine." Drug and Alcohol Dependence 140 (July 2014): e122. http://dx.doi.org/10.1016/j.drugalcdep.2014.02.349.

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40

Vytvytskyi, Liubomyr, and Bernt Lie. "Mechanistic model for Francis turbines in OpenModelica." IFAC-PapersOnLine 51, no. 2 (2018): 103–8. http://dx.doi.org/10.1016/j.ifacol.2018.03.018.

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41

Soczewiński, Edward. "Mechanistic molecular model of liquid–solid chromatography." Journal of Chromatography A 965, no. 1-2 (August 2002): 109–16. http://dx.doi.org/10.1016/s0021-9673(01)01278-x.

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42

Kadakia, Hiral, Andrew Baker, and Mark Paulsen. "A Mechanistic Accumulator Model for RETRAN-3D." Nuclear Technology 202, no. 1 (March 2018): 71–80. http://dx.doi.org/10.1080/00295450.2017.1419785.

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43

Doron-Faigenboim, A., and T. Pupko. "A Combined Empirical and Mechanistic Codon Model." Molecular Biology and Evolution 24, no. 2 (November 13, 2006): 388–97. http://dx.doi.org/10.1093/molbev/msl175.

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44

Reddy, Rohit G., Shiv G. Kapoor, and Richard E. DeVor. "A Mechanistic Force Model for Contour Turning." Journal of Manufacturing Science and Engineering 122, no. 3 (October 1, 1999): 398–405. http://dx.doi.org/10.1115/1.1285900.

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In this paper a mechanistic force model for contour turning is presented. Analytical solutions are developed for evaluation of the mechanistic parameters (chip load, chip thickness, chip width, effective lead angle), as a function of the process parameters (tool geometry, workpiece geometry, and the tool path). The effect of these parameter variations on the cutting forces is analyzed. Simple straight turning tests are employed for model calibration. A workpiece with convex and concave contours is employed for model validation. Model simulations are found to match well with the experimental results. The analytical model is utilized to investigate the effect of process variables with a 26 full factorial design. [S1087-1357(00)01602-6]
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45

Bremen, Andreas M., Tobias Ploch, Adel Mhamdi, and Alexander Mitsos. "A mechanistic model of direct forsterite carbonation." Chemical Engineering Journal 404 (January 2021): 126480. http://dx.doi.org/10.1016/j.cej.2020.126480.

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46

Kontturi, Kyösti, and Lasse Murtomäki. "Mechanistic model for transdermal transport including iontophoresis." Journal of Controlled Release 41, no. 3 (September 1996): 177–85. http://dx.doi.org/10.1016/0168-3659(96)01323-5.

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47

Tuttlies, U., V. Schmeißer, and G. Eigenberger. "A mechanistic simulation model forNOxstorage catalyst dynamics." Chemical Engineering Science 59, no. 22-23 (November 2004): 4731–38. http://dx.doi.org/10.1016/j.ces.2004.08.026.

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48

Solimeno, Alessandro, Roger Samsó, Enrica Uggetti, Bruno Sialve, Jean-Philippe Steyer, Adrián Gabarró, and Joan García. "New mechanistic model to simulate microalgae growth." Algal Research 12 (November 2015): 350–58. http://dx.doi.org/10.1016/j.algal.2015.09.008.

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49

Rubio, F. Camacho, F. Garc�a Camacho, J. M. Fern�ndez Sevilla, Y. Chisti, and E. Molina Grima. "A mechanistic model of photosynthesis in microalgae." Biotechnology and Bioengineering 81, no. 4 (December 18, 2002): 459–73. http://dx.doi.org/10.1002/bit.10492.

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50

Agrawal, Pramod, and Henry C. Lim. "A mechanistic growth model of a methylotroph." Journal of Chemical Technology & Biotechnology 47, no. 4 (April 24, 2007): 319–43. http://dx.doi.org/10.1002/jctb.280470404.

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