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Journal articles on the topic 'Mechanisms of interaction'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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1

Minati, Gianfranco. "Interactions and Interaction Mechanisms as Generators of Complex Systems." PROOF 2 (March 21, 2022): 96–107. http://dx.doi.org/10.37394/232020.2022.2.12.

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The concept of interaction is widely used in almost all disciplinary and interdisciplinary contexts. However, such a concept is often used in simplistic ways. We concentrate on scientific aspects, particularly systemic, identifying fundamental conceptual issues and interdisciplinary extensions. For example, a process of interacting is usually considered to occur iteratively in the same way, except for parametric variations, between fixed pairs or entities when one’s behavior is assumed to depend on another’s behavior. This simplistic view then has effects on the models adopted. A more appropri

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2

Vesselkin, N. P. "The mechanisms of neuronal interaction regulation mechanisms." Biochemistry (Moscow) Supplement Series A: Membrane and Cell Biology 3, no. 3 (2009): 339. http://dx.doi.org/10.1134/s1990747809030490.

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Starikov, A. N. "Mechanisms of Body Interaction." Herald of the Bauman Moscow State Technical University. Series Mechanical Engineering, no. 2 (131) (April 2020): 128–45. http://dx.doi.org/10.18698/0236-3941-2020-2-128-145.

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The purpose of the study was to analyze the simplest mechanisms based on the interaction of bodies on a plane, and to overview the main methods regarding gears of this class. Three main paradigms are given: slider movement on the surface, a screw-nut, and a wedge mechanism. We carried out a comparative analysis of the functional properties, the criteria for self-braking, general principles of conversion of motion, and introduced a criterion for classifying these simplest mechanisms into two types. Finally, we identified prospects for further research and ways of practical applications, gave ex

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Veyret, B. "Rapporteur report: Interaction mechanisms." Radiation Protection Dosimetry 106, no. 4 (2003): 317–19. http://dx.doi.org/10.1093/oxfordjournals.rpd.a006366.

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5

Andreazzi, Cecilia S., Julia Astegiano, and Jr Paulo R. Guimarães. "Coevolution by different functional mechanisms modulates the structure and dynamics of antagonistic and mutualistic networks." Oikos 129 (October 29, 2019): 224–37. https://doi.org/10.1111/oik.06737.

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A central problem in the study of species interactions is to understand the underlying ecological and evolutionary mechanisms that shape and are shaped by trait evolution in interacting assemblages. The patterns of interaction among species (i.e. network structure) provide the pathways for evolution and coevolution, which are modulated by how traits affect individual fitness (i.e. functional mechanisms). Functional mechanisms, in turn, also affect the likelihood of an ecological interaction, shaping the structure of interaction networks. Here, we build adaptive network models to explore the po

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Persson, P. B. "Modulation of cardiovascular control mechanisms and their interaction." Physiological Reviews 76, no. 1 (1996): 193–244. http://dx.doi.org/10.1152/physrev.1996.76.1.193.

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It is generally held that the role of a specific control element can only be understood within its physiological environment. The reviewed studies make it clear that there is a potent interplay between locally produced substances such as adenosine, nitric oxide, prostaglandins, and various others all interacting with the central level of control. This can occur at central sites (e.g., nitric oxide in the brain) or in the periphery (e.g., neural influence on autoregulation). The interactions are more or less pronounced during specific physiological challenges. Furthermore, several of these inte

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Zhuo, Chen, Chengwei Zeng, Haoquan Liu, Huiwen Wang, Yunhui Peng, and Yunjie Zhao. "Advances and Mechanisms of RNA–Ligand Interaction Predictions." Life 15, no. 1 (2025): 104. https://doi.org/10.3390/life15010104.

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The diversity and complexity of RNA include sequence, secondary structure, and tertiary structure characteristics. These elements are crucial for RNA’s specific recognition of other molecules. With advancements in biotechnology, RNA–ligand structures allow researchers to utilize experimental data to uncover the mechanisms of complex interactions. However, determining the structures of these complexes experimentally can be technically challenging and often results in low-resolution data. Many machine learning computational approaches have recently emerged to learn multiscale-level RNA features

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8

Yang, Huiying, Yuehua Ke, Jian Wang, et al. "Insight into Bacterial Virulence Mechanisms against Host Immune Response via the Yersinia pestis-Human Protein-Protein Interaction Network." Infection and Immunity 79, no. 11 (2011): 4413–24. http://dx.doi.org/10.1128/iai.05622-11.

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ABSTRACTAYersinia pestis-human protein interaction network is reported here to improve our understanding of its pathogenesis. Up to 204 interactions between 66Y. pestisbait proteins and 109 human proteins were identified by yeast two-hybrid assay and then combined with 23 previously published interactions to construct a protein-protein interaction network. Topological analysis of the interaction network revealed that human proteins targeted byY. pestiswere significantly enriched in the proteins that are central in the human protein-protein interaction network. Analysis of this network showed t

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9

Vermeule, Adrian. "The Interaction of Democratic Mechanisms." Good Society 18, no. 1 (2009): 21–26. http://dx.doi.org/10.2307/20711314.

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Vermeule, Adrian. "The Interaction of Democratic Mechanisms." Good Society 18, no. 1 (2009): 21–26. http://dx.doi.org/10.2307/goodsociety.18.1.0021.

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11

Hancock, R. D., S. Hogenhout, and C. H. Foyer. "Mechanisms of plant-insect interaction." Journal of Experimental Botany 66, no. 2 (2015): 421–24. http://dx.doi.org/10.1093/jxb/eru503.

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12

Farah, Martha J. "Mechanisms of imagery-perception interaction." Journal of Experimental Psychology: Human Perception and Performance 15, no. 2 (1989): 203–11. http://dx.doi.org/10.1037/0096-1523.15.2.203.

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13

Tziperman, Eli, Stephen E. Zebiak, and Mark A. Cane. "Mechanisms of Seasonal – ENSO Interaction." Journal of the Atmospheric Sciences 54, no. 1 (1997): 61–71. http://dx.doi.org/10.1175/1520-0469(1997)054<0061:mosei>2.0.co;2.

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14

Togias, A. "Mechanisms of nose-lung interaction." Allergy 54, s57 (1999): 94–105. http://dx.doi.org/10.1111/j.1398-9995.1999.tb04410.x.

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15

Parry, Samuel, Joanne Holder, and Jerome F. Strauss. "Mechanisms of trophoblast-virus interaction." Journal of Reproductive Immunology 37, no. 1 (1997): 25–34. http://dx.doi.org/10.1016/s0165-0378(97)00071-5.

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16

Parry, Samuel, JoAnne Holder, and Jerome F. Strauss. "Mechanisms of trophoblast-virus interaction." Journal of Reproductive Immunology 34, no. 1 (1997): 20–21. http://dx.doi.org/10.1016/s0165-0378(97)90387-9.

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17

Gillman, Ken. "Interaction of temperature regulation mechanisms." Lancet 376, no. 9737 (2010): 233–34. http://dx.doi.org/10.1016/s0140-6736(10)61144-0.

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18

Wolday, D., N. Berhe, H. Akuffo, and S. Britton. "Leishmania–HIV Interaction: Immunopathogenic Mechanisms." Parasitology Today 15, no. 5 (1999): 182–87. http://dx.doi.org/10.1016/s0169-4758(99)01431-3.

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19

Alderman, Christopher P., and Peter D. Allcroft. "Digoxin–Itraconazole Interaction: Possible Mechanisms." Annals of Pharmacotherapy 31, no. 4 (1997): 438–40. http://dx.doi.org/10.1177/106002809703100410.

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Objective To document a case in which the administration of itraconazole was associated with an apparent decrease in digoxin clearance, resulting in an increase in the serum digoxin concentration. Case Summary A man receiving digoxin for atrial fibrillation was concurrently treated with itraconazole 200 mg/d for esophageal candidiasis. The estimated urinary digoxin clearance was decreased during this combination therapy. Discussion Digoxin is primarily cleared by the kidneys, and the mechanism of renal clearance involves both glomerular filtration and tubular secretion. We postulate that itrac

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20

Vanderstraeten *, Raf. "Emerging mechanisms of educational interaction." Educational Review 56, no. 1 (2004): 43–52. http://dx.doi.org/10.1080/0013191032000152264.

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21

Vermeule, Adrian. "The Interaction of Democratic Mechanisms." Good Society 18, no. 1 (2009): 21–26. http://dx.doi.org/10.1353/gso.0.0059.

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22

Goodman, Reba, and Martin Blank. "Insights into electromagnetic interaction mechanisms." Journal of Cellular Physiology 192, no. 1 (2002): 16–22. http://dx.doi.org/10.1002/jcp.10098.

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23

Chandregowda, Shreyas Aralumallige, Shobha K. Bhatia, and Angelica M. Palomino. "Molecular dynamic simulation study on interaction mechanism between biopolymer and kaolinite." E3S Web of Conferences 569 (2024): 19005. http://dx.doi.org/10.1051/e3sconf/202456919005.

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The mining industry produces enormous amounts of waste annually. These wastes – mine tailings – predominantly consist of clay size particles with the major clay mineral being kaolinite. Due to its colloidal nature, kaolinite is generally separated using polymeric flocculants. Recently, biopolymers have been explored in place of synthetic polymers as a flocculant. Researchers have previously investigated kaolinite-biopolymer surface interaction mechanisms by inferring using bench scale physical tests. However, there is a lack of clear understanding of exact interactions between kaolinite and bi

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24

Firoozeh, Chamandoosti. "Resistance in Plants, Concepts and Mechanisms." International Journal of Environmental & Agriculture Research 5, no. 1 (2019): 35–43. https://doi.org/10.5281/zenodo.2553932.

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<strong><em>Abstract</em></strong><strong>—</strong> <em>In contrast to most animals, plants are sessile organisms that they have not a circulatory system. So they have an innate immune system in each cell. In fact interaction between plants and their pathogens is based on systemic signaling capability from infection sites. In plant pathogen interaction sometimes pathogens produce elicitor and sometimes produce effector. On this basis, resistance in plants is divided to host and non host. On the other hand the plant responses depend not only on the recognition mechanisms but also very mu

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25

Wang, Huidong, Anna Iacoangeli, Daisy Lin, et al. "Dendritic BC1 RNA in translational control mechanisms." Journal of Cell Biology 171, no. 5 (2005): 811–21. http://dx.doi.org/10.1083/jcb.200506006.

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Translational control at the synapse is thought to be a key determinant of neuronal plasticity. How is such control implemented? We report that small untranslated BC1 RNA is a specific effector of translational control both in vitro and in vivo. BC1 RNA, expressed in neurons and germ cells, inhibits a rate-limiting step in the assembly of translation initiation complexes. A translational repression element is contained within the unique 3′ domain of BC1 RNA. Interactions of this domain with eukaryotic initiation factor 4A and poly(A) binding protein mediate repression, indicating that the 3′ B

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26

Cavitt, T. Brian, and Niyati Pathak. "Modeling Bacterial Attachment Mechanisms on Superhydrophobic and Superhydrophilic Substrates." Pharmaceuticals 14, no. 10 (2021): 977. http://dx.doi.org/10.3390/ph14100977.

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Superhydrophilic and superhydrophobic substrates are widely known to inhibit the attachment of a variety of motile and/or nonmotile bacteria. However, the thermodynamics of attachment are complex. Surface energy measurements alone do not address the complexities of colloidal (i.e., bacterial) dispersions but do affirm that polar (acid-base) interactions (ΔGAB) are often more significant than nonpolar (Lifshitz-van der Waals) interactions (ΔGLW). Classical DLVO theory alone also fails to address all colloidal interactions present in bacterial dispersions such as ΔGAB and Born repulsion (ΔGBorn)

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27

Yashin, Anatoliy, Dequing Wu, Konstantin Arbeev, et al. "Role of Genetic Interactions in Alzheimer’s Disease: Lessons from Long Life Family Study (LLFS)." Innovation in Aging 4, Supplement_1 (2020): 491. http://dx.doi.org/10.1093/geroni/igaa057.1589.

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Abstract Experimental and clinical studies of Alzheimer’s disease (AD) provide plentiful evidence of AD heterogeneity and involvement of many interacting genes and pathways in regulation of AD-related traits. However, detailed mechanisms of genetic interactions (GxG) involved in AD remain largely unknown. Uncovering hidden patterns of such interactions from human data will help better understand the nature of AD heterogeneity and find new targets for AD prevention. In this paper, we applied a newly developed method of evaluating joint GxG effects on AD to analysis of the Long Life Family Study

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28

Ahmane, Amel, Hocine Gacem, Karim Boulesbiaat, and Meriem Boullelli. "Pharmacokinetic interactions: from mechanisms to clinical relevance." Batna Journal of Medical Sciences (BJMS) 1, no. 2 (2014): 85–95. http://dx.doi.org/10.48087/bjmstf.2014.1209.

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Among the various types of known drug interactions, those involving pharmacokinetic processes are more complex and dangerous. From digestive pH changes to plasma protein binding and induction or inhibition phenomena; current data used to define, with precision, the sites of interaction. The enzymes involved in metabolism, the transporters involved in tissue distribution and excretion of drugs, and nuclear receptors that regulate the expression of these enzymes and transporters are keys determinants that should be defined for each drug. The clinical relevance of a pharmacokinetic interaction is

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29

Djinovic-Carugo, Kristina, and Oliviero Carugo. "Structural Portrait of Filamin Interaction Mechanisms." Current Protein & Peptide Science 11, no. 7 (2010): 639–50. http://dx.doi.org/10.2174/138920310794109111.

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30

Renfrew, I. "Air-sea interaction: Laws and mechanisms." Eos, Transactions American Geophysical Union 82, no. 50 (2001): 626. http://dx.doi.org/10.1029/01eo00364.

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31

Perlovsky, Leonid. "Language and Cognition Interaction Neural Mechanisms." Computational Intelligence and Neuroscience 2011 (2011): 1–13. http://dx.doi.org/10.1155/2011/454587.

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How language and cognition interact in thinking? Is language just used for communication of completed thoughts, or is it fundamental for thinking? Existing approaches have not led to a computational theory. We develop a hypothesis that language and cognition are two separate but closely interacting mechanisms. Language accumulates cultural wisdom; cognition develops mental representations modeling surrounding world and adapts cultural knowledge to concrete circumstances of life. Language is acquired from surrounding language “ready-made” and therefore can be acquired early in life. This early

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32

Csanady,, GT, and JL Lumley,. "Air-Sea Interaction: Laws and Mechanisms." Applied Mechanics Reviews 55, no. 6 (2002): B117. http://dx.doi.org/10.1115/1.1508156.

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33

Baese-Berk, Melissa, and Matthew Goldrick. "Mechanisms of interaction in speech production." Language and Cognitive Processes 24, no. 4 (2009): 527–54. http://dx.doi.org/10.1080/01690960802299378.

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34

Algranati, Dotan, Ghassan S. Kassab, and Yoram Lanir. "Mechanisms of myocardium-coronary vessel interaction." American Journal of Physiology-Heart and Circulatory Physiology 298, no. 3 (2010): H861—H873. http://dx.doi.org/10.1152/ajpheart.00925.2009.

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The mechanisms by which the contracting myocardium exerts extravascular forces (intramyocardial pressure, IMP) on coronary blood vessels and by which it affects the coronary flow remain incompletely understood. Several myocardium-vessel interaction (MVI) mechanisms have been proposed, but none can account for all the major flow features. In the present study, we hypothesized that only a specific combination of MVI mechanisms can account for all observed coronary flow features. Three basic interaction mechanisms (time-varying elasticity, myocardial shortening-induced intracellular pressure, and

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35

Liu, Lei. "Dual oriented mechanisms in contour interaction." Vision Research 41, no. 7 (2001): 853–58. http://dx.doi.org/10.1016/s0042-6989(00)00312-6.

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36

Zelin, M. G., H. S. Yang, R. Z. Valiev, and A. K. Mukherjee. "Interaction of high-temperature deformation mechanisms." Metallurgical Transactions A 23, no. 11 (1992): 3135–40. http://dx.doi.org/10.1007/bf02646132.

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37

Hore, P. J. "Rapporteur's report: sources and interaction mechanisms." Progress in Biophysics and Molecular Biology 87, no. 2-3 (2005): 205–12. http://dx.doi.org/10.1016/j.pbiomolbio.2004.08.005.

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38

Robles, Linda, Anna Stepanova, and Jose Alonso. "Molecular Mechanisms of Ethylene–Auxin Interaction." Molecular Plant 6, no. 6 (2013): 1734–37. http://dx.doi.org/10.1093/mp/sst113.

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39

Chevereau, Guillaume, and Tobias Bollenbach. "Systematic discovery of drug interaction mechanisms." Molecular Systems Biology 11, no. 4 (2015): 807. http://dx.doi.org/10.15252/msb.20156098.

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40

Palanker, Daniel, Alexander Vankov, and Pradeep Jayaraman. "On mechanisms of interaction in electrosurgery." New Journal of Physics 10, no. 12 (2008): 123022. http://dx.doi.org/10.1088/1367-2630/10/12/123022.

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41

Sonne, Jesper, Jeferson Vizentin-Bugoni, Pietro K. Maruyama, et al. "Ecological mechanisms explaining interactions within plant–hummingbird networks: morphological matching increases towards lower latitudes." Proceedings of the Royal Society B: Biological Sciences 287, no. 1922 (2020): 20192873. http://dx.doi.org/10.1098/rspb.2019.2873.

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Interactions between species are influenced by different ecological mechanisms, such as morphological matching, phenological overlap and species abundances. How these mechanisms explain interaction frequencies across environmental gradients remains poorly understood. Consequently, we also know little about the mechanisms that drive the geographical patterns in network structure, such as complementary specialization and modularity. Here, we use data on morphologies, phenologies and abundances to explain interaction frequencies between hummingbirds and plants at a large geographical scale. For 2

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42

Vissink, A. "Medicaments and oral healthcare. Mechanisms of interaction between medicaments." Nederlands Tijdschrift voor Tandheelkunde 126, no. 01 (2019): 31–36. http://dx.doi.org/10.5177/ntvt.2019.01.18218.

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43

Souza, M. M. De, Srinivasan Chakravarthi, and Amitabh Jain. "Defect Interaction Mechanisms between Antimony and Indium in Silicon." Solid State Phenomena 108-109 (December 2005): 425–32. http://dx.doi.org/10.4028/www.scientific.net/ssp.108-109.425.

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Heavy species such as Sb, In, and Ge are required to meet the challenges of future dopant engineering in planar CMOS technology. An understanding of the interactions of these species with each other and with conventional dopants is urgently required in order to meet aggressive criteria for junction control in sub-sixty nanometer technology nodes. In the current work, the interactions between Sb and In have been explored as a function of ion implantation dose and annealing treatment. The data shows strong interaction between the two species which prevents the dissolution of an as-implanted In p

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44

Konar Caprio Mistry, Arpan. "Navigating Nanoparticles: Unwinding Plant - Particle Interaction Mechanisms and Signaling Dynamics within the Apoplast." International Journal of Science and Research (IJSR) 12, no. 8 (2023): 2275–79. http://dx.doi.org/10.21275/sr23825033304.

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45

Anzai, Akiyuki, Izumi Ohzawa, and Ralph D. Freeman. "Neural Mechanisms for Processing Binocular Information I. Simple Cells." Journal of Neurophysiology 82, no. 2 (1999): 891–908. http://dx.doi.org/10.1152/jn.1999.82.2.891.

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The visual system integrates information from the left and right eyes and constructs a visual world that is perceived as single and three dimensional. To understand neural mechanisms underlying this process, it is important to learn about how signals from the two eyes interact at the level of single neurons. Using a sophisticated receptive field (RF) mapping technique that employs binary m-sequences, we have determined the rules of binocular interactions exhibited by simple cells in the cat’s striate cortex in relation to the structure of their monocular RFs. We find that binocular interaction

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46

Jin, Zihan, and Zihao Wei. "Molecular simulation for food protein–ligand interactions: A comprehensive review on principles, current applications, and emerging trends." Comprehensive Reviews in Food Science and Food Safety 23, no. 1 (2023): 1–29. http://dx.doi.org/10.1111/1541-4337.13280.

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AbstractIn recent years, investigations on molecular interaction mechanisms between food proteins and ligands have attracted much interest. The interaction mechanisms can supply much useful information for many fields in the food industry, including nutrient delivery, food processing, auxiliary detection, and others. Molecular simulation has offered extraordinary insights into the interaction mechanisms. It can reflect binding conformation, interaction forces, binding affinity, key residues, and other information that physicochemical experiments cannot reveal in a fast and detailed manner. The

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47

Medvedev, Vadim V., and Elena A. Gorbashko. "TYPOLOGY OF MECHANISMS OF INTERACTION BETWEEN PARTICIPANTS IN THE INNOVATION SYSTEM." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 5/8, no. 146 (2024): 6–17. http://dx.doi.org/10.36871/ek.up.p.r.2024.05.08.001.

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Possible mechanisms of interaction between participants in the innovation system of the Russian Federation are explored, key organizational elements that initiate and develop interactions between organizations participating in innovation activities are identified. A typology of current mechanisms of interaction between organizations involved in innovation activities has been formed. This makes it possible to develop organizational measures of innovation policy in terms of initiating and stimulating interaction between participants in innovation systems of constituent entities of the Russian Fe

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48

Kovalenko, Yulia N., and Andrey V. Ulez’ko. "The mechanism of economic interactions: the content of the category and essential characteristics." Economy of agricultural and processing enterprises, no. 12 (2023): 46–51. http://dx.doi.org/10.31442/0235-2494-2023-0-12-46-51.

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The mechanism of economic interactions is represented by mechanisms of three main types: vertical, horizontal and network interactions. The essence of these types of interaction mechanisms, the features of their organization and formation are demonstrated. The mechanism of vertical interactions implies the presence of a certain center that determines the «rules of the game» within the boundaries of the economic space it controls. This type of mechanisms includes, for example, the mechanism of interaction between the state and economic entities, the mechanism of interaction between management c

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Zhang, Shiyi, Cong Li, Jinping Si, Zhigang Han, and Donghong Chen. "Action Mechanisms of Effectors in Plant-Pathogen Interaction." International Journal of Molecular Sciences 23, no. 12 (2022): 6758. http://dx.doi.org/10.3390/ijms23126758.

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Plant pathogens are one of the main factors hindering the breeding of cash crops. Pathogens, including oomycetes, fungus, and bacteria, secrete effectors as invasion weapons to successfully invade and propagate in host plants. Here, we review recent advances made in the field of plant-pathogen interaction models and the action mechanisms of phytopathogenic effectors. The review illustrates how effectors from different species use similar and distinct strategies to infect host plants. We classify the main action mechanisms of effectors in plant-pathogen interactions according to the infestation

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50

Metcalf, Stephanie, Stevie Morris, and Peter Hollenhorst. "Abstract 2365: Mechanisms of mutant p53 targeting to the genome." Cancer Research 82, no. 12_Supplement (2022): 2365. http://dx.doi.org/10.1158/1538-7445.am2022-2365.

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Abstract Mutations in genes often result in tumor formation, especially when these mutations occur in tumor suppressors. TP53 is a tumor suppressor that is frequently mutated in cancer, with mutations in this gene occurring in nearly 50% of all cancer cases. Once mutated, p53 loses its tumor suppressive function while simultaneously gaining oncogenic function. One of the functions that mutant p53 loses is the ability to directly bind to chromatin, however, it has been reported that mutant p53 can still affect the transcriptome of cancer cells via interactions with other transcription factors.

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