Journal articles: 'Agents with influence'

1

Smith, Gaddis, and Pat Choate. "Agents of Influence." Foreign Affairs 70, no. 2 (1991): 184. http://dx.doi.org/10.2307/20044747.

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2

Frederick, R. "Agents of influence." Proceedings of the National Academy of Sciences 110, no. 10 (March 5, 2013): 3703–5. http://dx.doi.org/10.1073/pnas.1302005110.

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3

Islabão Franco, Márcia Häfele, Antônio Carlos Da Rocha Costa, and Helder Coelho. "EXCHANGE VALUES AND SOCIAL POWER SUPPORTING THE CHOICE OF PARTNERS." Revista Pueblos y fronteras digital 5, no. 9 (June 1, 2010): 43. http://dx.doi.org/10.22201/cimsur.18704115e.2010.9.159.

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In this paper, we adopt Piaget’s theory of social exchanges, in which an interaction is an exchange of services between agents, such that agents assign subjective, qualitative values —called exchange values— to the actions and objects they exchange during interactions. The agents present characteristics related to social power during the interactions. In this paper, we show how these characteristics are considered in the agents’ reasoning. This paper also shows how these characteristics and the exchange values can influence the agents’ choice of future partners, in support of groupformation. RESUMENEn el presente trabajo adoptamos la teoría piagetiana de los intercambios sociales, donde una interacción es un intercambio de servicios entre agentes, de tal manera que dichos agentes asignan valores subjetivos, cualitativos —denominados valores de intercambio— a las acciones y objetos que intercambian en la interacción. Durante las interacciones los agentes presentan características relativas al poder social. En este trabajo mostramos cómo los agentes consideran dichas características en su razonamiento. Asimismo, el texto muestra cómo estas características y los valores de intercambio pueden influir sobre la futura elección de asociados del agente para la formación de grupo.

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Karol, Meryl H. "How Environmental Agents Influence the Aging Process." Biomolecules and Therapeutics 17, no. 2 (April 30, 2009): 113–24. http://dx.doi.org/10.4062/biomolther.2009.17.2.113.

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Suzuki, Kenichi, Akira Nagayama, Yuki Kato, Mitsuaki Suzuki, Ichiro Noge, Toru Okada, Yasunari Kurita, Katsunori Sano, and Yasuhide Yosida. "Influence of Anticancer Agents on Nutritional Factors." Iryo Yakugaku (Japanese Journal of Pharmaceutical Health Care and Sciences) 33, no. 3 (2007): 229–34. http://dx.doi.org/10.5649/jjphcs.33.229.

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6

Cushman, W. "Does obesity influence response to antihypertensive agents?" American Journal of Hypertension 14, no. 11 (November 2001): A24. http://dx.doi.org/10.1016/s0895-7061(01)01368-1.

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MULLANEY, I., R. A. CLEGG, D. W. WEST, R. A. W. SMITH, and B. MIDDLETON. "Influence of adrenergic agents on mammary tissue." Biochemical Society Transactions 15, no. 3 (June 1, 1987): 494–95. http://dx.doi.org/10.1042/bst0150494.

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8

Kim, Seungrok, and David E. Mainwaring. "Influence of Viscosity Modifying Agents onPinus radiataExtract." Holzforschung 50, no. 1 (January 1996): 42–48. http://dx.doi.org/10.1515/hfsg.1996.50.1.42.

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9

Piątkowska, Elżbieta, and Jolanta Rusiecka - Ziółkowska. "Influence of Essential Oils on Infectious Agents." Advances in Clinical and Experimental Medicine 25, no. 5 (2016): 989–95. http://dx.doi.org/10.17219/acem/31287.

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10

Pandey, K. N., K. K. Debnath, P. T. Rajagopalan, D. K. Setua, and G. N. Mathur. "Thermal analysis on influence of compatibilizing agents." Journal of thermal analysis 49, no. 1 (July 1997): 281–92. http://dx.doi.org/10.1007/bf01987449.

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Iwami, Hideaki, Isao Matsui, Yorinobu Takigawa, Tokuteru Uesugi, and Kenji Higashi. "OS19-1-3 Influence of Gloss Agents on Mechanical properties of Electrodeposited Bulk Nanocrystalline Ni." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2011.10 (2011): _OS19–1–3—. http://dx.doi.org/10.1299/jsmeatem.2011.10._os19-1-3-.

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12

Shaddox, Travis Wayne, and Joseph Bryan Unruh. "Do Wetting Agents Influence Golf Ball Roll Distance?" HortTechnology 30, no. 3 (June 2020): 404–10. http://dx.doi.org/10.21273/horttech04576-20.

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Wetting agents are commonly applied to golf putting greens to manage soil moisture. Speculation has arisen regarding the influence of wetting agents on golf ball roll distance. The objective of this study was to determine the influence of wetting agents on golf ball roll distance, putting green surface firmness, and volumetric water content in sand-based putting greens. This study was conducted during the 2018 growing season in Jay, FL and Ft. Lauderdale, FL on ‘TifEagle’ hybrid bermudagrass (Cynodon dactylon × C. transvaalensis) putting greens. Treatments were applied to plots (2 × 3 m) in a randomized complete block design using four replications, and included seven wetting agents and an untreated turfgrass control. The study area was irrigated at 80% of the previous week’s reference evapotranspiration. Ball roll distance, firmness, and volumetric water content (VWC) were recorded weekly and pooled by month. Wetting agents did not lead to an increase in ball roll distance, firmness, or VWC during any month in Jay or Ft. Lauderdale. Inversely, in Jay, polyoxyalkylene polymer resulted in decreased surface firmness during October and November compared with untreated turfgrass. VWC was reduced as a result of some wetting agents in Ft. Lauderdale in February, September, November, and December, and resulted in no influence on VWC in Jay. The coefficients of determination of surface firmness and ball roll distance in Jay and Ft. Lauderdale were significant (P < 0.001) and were 0.12 and 0.08, respectively. This indicates that ball roll distance can increase as surfaces become firmer. However, this study found no evidence that wetting agents increase ball roll distance on sand-based putting greens.

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Li, Caiming, Yuxian You, Zi Lu, Zhengbiao Gu, Yan Hong, Li Cheng, Xiaofeng Ban, and Zhaofeng Li. "Alcohol complexing agents influence bacterial α-cyclodextrin production." LWT 135 (January 2021): 110031. http://dx.doi.org/10.1016/j.lwt.2020.110031.

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14

Karatza, H. D. "Intelligent software agents' influence on media-based systems." IEEE Distributed Systems Online 5, no. 3 (March 2004): 1–3. http://dx.doi.org/10.1109/mdso.2004.1285881.

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15

AskariSichani, Omid, and Mahdi Jalili. "Influence maximization of informed agents in social networks." Applied Mathematics and Computation 254 (March 2015): 229–39. http://dx.doi.org/10.1016/j.amc.2014.12.139.

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16

Chen, Chiang-Ming, and Kuo-Liang Chang. "The influence of travel agents on travel expenditures." Annals of Tourism Research 39, no. 2 (April 2012): 1258–63. http://dx.doi.org/10.1016/j.annals.2012.01.005.

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17

Rao, G. H. R., R. F. Wilson, C. W. White, and J. G. White. "Influence of thrombolytic agents on human platelet function." Thrombosis Research 62, no. 4 (May 1991): 319–34. http://dx.doi.org/10.1016/0049-3848(91)90152-m.

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Rao, G. H. R., R. F. Wilson, S. W. White, and J. G. White. "Influence of thrombolytic agents on human platelet function." Thrombosis Research 63, no. 5 (September 1991): 577. http://dx.doi.org/10.1016/0049-3848(91)90185-y.

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19

Crim, Gary A. "Influence of bonding agents and composites on microleakage." Journal of Prosthetic Dentistry 61, no. 5 (May 1989): 571–74. http://dx.doi.org/10.1016/0022-3913(89)90278-3.

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20

Smit, Crystal, W. J. Burk, K. E. Bevelander, R. N. H. de Leeuw, and M. Buijzen. "How do influence agents successfully promote health behaviours?" Appetite 107 (December 2016): 692. http://dx.doi.org/10.1016/j.appet.2016.08.087.

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21

Ghezelbash, Ehsan, Mohammad Javad Yazdanpanah, Masoud Asadpour, and Abolfazl Yaghmaei. "Optimal Selection of Informed Agents for Influence Opposition." IEEE Transactions on Computational Social Systems 8, no. 1 (February 2021): 20–32. http://dx.doi.org/10.1109/tcss.2020.3043295.

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22

RADILLO-DÍAZ, ALEJANDRO, LUIS A. PÉREZ, and MARCELO DEL CASTILLO-MUSSOT. "AXELROD MODEL OF SOCIAL INFLUENCE WITH CULTURAL HYBRIDIZATION." International Journal of Modern Physics C 23, no. 12 (December 2012): 1250081. http://dx.doi.org/10.1142/s0129183112500817.

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Since cultural interactions between a pair of social agents involve changes in both individuals, we present simulations of a new model based on Axelrod's homogenization mechanism that includes hybridization or mixture of the agents' features. In this new hybridization model, once a cultural feature of a pair of agents has been chosen for the interaction, the average of the values for this feature is reassigned as the new value for both agents after interaction. Moreover, a parameter representing social tolerance is implemented in order to quantify whether agents are similar enough to engage in interaction, as well as to determine whether they belong to the same cluster of similar agents after the system has reached the frozen state. The transitions from a homogeneous state to a fragmented one decrease in abruptness as tolerance is increased. Additionally, the entropy associated to the system presents a maximum within the transition, the width of which increases as tolerance does. Moreover, a plateau was found inside the transition for a low-tolerance system of agents with only two cultural features.

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23

Basly, J. P., I. Longy, and M. Bernard. "Influence of radiation treatment on two antibacterial agents and four antiprotozoal agents: ESR dosimetry." International Journal of Pharmaceutics 154, no. 1 (August 1997): 109–13. http://dx.doi.org/10.1016/s0378-5173(97)00119-1.

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24

ter Maat, Mark. "How Agents' Turn-Taking Strategies Influence Impressions and Response Behaviors." Presence: Teleoperators and Virtual Environments 20, no. 5 (October 1, 2011): 412–30. http://dx.doi.org/10.1162/pres_a_00064.

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Different turn-taking strategies of an agent influence the impression that people have of it and the behaviors that they display in response. To study these influences, we carried out several studies. In the first study, subjects listened as bystanders to computer-generated, unintelligible conversations between two speakers. In the second study, subjects talked to an artificial interviewer which was controlled by a human in a Wizard of Oz setting. Questionnaires with semantic differential scales concerning personality, emotion, social skill, and interviewing skills were used in both studies to assess the impressions that the subjects have of the agents that carried out different turn-taking strategies. In addition, in order to assess the effects of these strategies on the subjects' behavior, we measured several aspects in the subjects' speech, such as speaking rate and turn length. We found that different turn-taking strategies indeed influence the user's perception. Starting too early (interrupting the user) is mostly associated with negative and strong personality attributes and is perceived as less agreeable and more assertive. Leaving pauses between turns is perceived as more agreeable, less assertive, and creates the feeling of having more rapport. Finally, we found that turn-taking strategies also influence the subjects' speaking behavior.

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25

Pavlov, A. N., and B. V. Sokolov. "A FUZZY HYPERGRAPH APPROACH TO RESEARCH OF THE VALUE OF SOCIAL NETWORKS." Informatization and communication, no. 3 (May 24, 2019): 57–62. http://dx.doi.org/10.34219/2078-8320-2019-10-3-57-62.

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Goal. In modern conditions, applied research is required in the field of analysis such properties of social networks as «social correlation», group interaction, the existence of «leaders of influence», the value of a social network taking into account reputation, conformism, activity of its agents. Materials and methods. The article proposes an original approach based on using the operation of differentiating a fuzzy hypergraph, building its derivative, which is a fuzzy graph of social correlation and mutual influence of network agents, and the interpretation of the results obtained in relation to social networks is presented as well. Results. Using a fuzzy hypergraphic formal representation of a social network in which the edges connect individual or group network agents that make up a particular group, coalition or configuration, and its differentiation operation, a fuzzy relation of network value is constructed, and indicators of the value of agents and the network as a whole are introduced. Conclusion. This approach allows us to analyze the influence of the leaders of agents on the social community, to assess how critical their influence is, to determine the most influential agents of the social network with the greatest value in terms of informational influences.

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26

Devasena, S. Valli. "Influence of Education on Travel Agencies' E-Business." International Journal of Information Systems and Social Change 5, no. 2 (April 2014): 32–38. http://dx.doi.org/10.4018/ijissc.2014040104.

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The success of Travel Agency e business depends on the Educational level of its agents. Because a travel agents job involves not only making sales but also gathering information, researching travel products, analyzing options, and making recommendations, for these reasons, travel agents are often referred to travel Consultants or travel counselors. The main products of a travel agency are transportation accommodation and packaged vacations. Airline tickets are the primary products line of most travel agencies. To cope up with the changing environment, education plays an important role.

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27

Borges, A. B., L. Y. Samezima, L. P. Fonseca, K. C. K. Yui, A. L. S. Borges, and C. R. G. Torres. "Influence of Potentially Remineralizing Agents on Bleached Enamel Microhardness." Operative Dentistry 34, no. 5 (September 1, 2009): 593–97. http://dx.doi.org/10.2341/08-081-l.

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Clinical Relevance Dentists should be aware of the enamel demineralization potential of 35% hydrogen peroxide. The addition of fluoride and calcium can enhance remineralization of surface and subsurface bleached enamel.

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28

Rosenfield, Mark, Bernard Gilmartin, Elizabeth Cunningham, and Nutan Dattani. "The influence of alpha-adrenergic agents on tonic accommodation." Current Eye Research 9, no. 3 (January 1990): 267–72. http://dx.doi.org/10.3109/02713689009044522.

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29

Wagner, Martin, and H. Johannes Pöpel. "Surface active agents and their influence on oxygen transfer." Water Science and Technology 34, no. 3-4 (August 1, 1996): 249–56. http://dx.doi.org/10.2166/wst.1996.0438.

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Oxygen transfer rates of fine bubble aeration systems in uniform arrangement are reduced down to 40% to 70% in wastewater compared to clean water conditions. Surfactants in wastewater are the main reason for the inferior and therefore uneconomic performance. The influence of different types of surfactants (anionic and nonionic) and of their concentration on oxygen transfer is investigated at various properties of pure water (content of electrolytes, hardness) by means of extensive experiments. The main results of the investigations are:in dependence of the type of surfactant, its concentration and the types of water:– the aeration coefficient kLa decreases (down to 55%)– the specific interfacial area (a) increases (up to 350%)– the oxygen transfer coefficient (kL) decreases (down to 20%)nonionic surfactants reduce the oxygen transfer more strongly than anionic surfactantsat the same surface tension, but different types of surfactant α-values can vary over a range of 0.12. Therefore α-values can not be calculated from surface tension measurementsα-values of approximately 0.55 should be taken for designing fine bubble aeration systemsIn new guidelines for the measurement of oxygen transfer rates, addition of 5 gm−3 of an arbitrary surfactant into clean water to simulate wastewater conditions must be abandoned.

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30

Zaviryukha, H. A., U. M. Yanenko, and T. B. Vasylieva. "Influence of antibacterial agents on vaccine strains of Anthrax." Ukrainian Journal of Ecology 10, no. 5 (October 3, 2020): 29–35. http://dx.doi.org/10.15421/2020_202.

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Neutralization of spore-forming pathogenic microflora is carried out by solutions of disinfectants repeatedly. Antibacterial agents when used uncontrolled can reduce the sensitivity of microorganisms and as a result cause severe complications. Of considerable interest is the combined use of antibiotics with antibacterial drugs of plant origin. The use of antimicrobial agents of plant origin is due to their low toxicity, the possibility of long-term use, greater availability and ability to biodegradation, while synthetic drugs: antibiotics, fluoroquinolones, antiseptics have strong activity. Therefore, of great interest is the combined use of antibiotics with antibacterial drugs of plant origin. The object of our study were vaccine strains of the anthrax pathogen: B. anthracis K-79Z, B. anthracis 34F2 and anthrax-like bacilli B. cereus 8035, in spore form, disinfectants – sterilium (classic pur), ethanol 96%, alcohol solutions chlorophyllipt (1%) and propolis (7%). Studies have shown that bacteria of the strain B. cereus 8035 were insensitive to disinfectants of non-vegetable origin in the native and diluted state at exposures of 30, 60, 120 minutes and 24 hours of incubation, as evidenced by the intensive growth of the culture on meat-peptone agar (MPA). In the study of the disinfecting effect of 96% ethanol and sterile on the B. anthracis K-79Z strain, it was found that after exposure for 30, 60, 120 minutes and 24 hours, bacterial growth is recorded when using the native and disinfectant. Strains B. anthracis K-79Z and B. cereus 8035 were found to be more resistant to the action of disinfectants of plant and synthetic origin. In the future, we plan to continue the study of strains of the anthrax pathogen and anthrax bacilli on the sensitivity to disinfectants and to determine the relationship between the toxigenic characteristics of the strains.

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31

Kawamura, Yoko, Naofumi Hozumi, and Yoshinari Enami. "Influence of spreading agents on Pathogenicity of Nomuraea rileyi." Annual Report of The Kansai Plant Protection Society 48 (2006): 95–96. http://dx.doi.org/10.4165/kapps.48.95.

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32

Saijo, Nagahiro. "Factors which influence the drug sensitivity of anticanccr agents." Japanese Journal of Pharmacology 67 (1995): 65. http://dx.doi.org/10.1016/s0021-5198(19)46231-8.

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33

&NA;. "Antiplatelet agents may influence risk of post-MI stroke." Inpharma Weekly &NA;, no. 1188 (May 1999): 18. http://dx.doi.org/10.2165/00128413-199911880-00034.

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34

Grabisch, Michel, Alexis Poindron, and Agnieszka Rusinowska. "A model of anonymous influence with anti-conformist agents." Journal of Economic Dynamics and Control 109 (December 2019): 103773. http://dx.doi.org/10.1016/j.jedc.2019.103773.

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35

Finsterer, Josef, and Peter Ohnsorge. "Influence of mitochondrion-toxic agents on the cardiovascular system." Regulatory Toxicology and Pharmacology 67, no. 3 (December 2013): 434–45. http://dx.doi.org/10.1016/j.yrtph.2013.09.002.

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36

Daly, J. M. "Influence of Topically Applied Antimicrobial Agents on Muscular Microcirculation." Yearbook of Surgery 2012 (January 2012): 64–65. http://dx.doi.org/10.1016/j.ysur.2012.03.026.

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37

Hamrick, Terri S., Adam H. Diaz, Edward A. Havell, John R. Horton, and Paul E. Orndorff. "Influence of Extracellular Bactericidal Agents on Bacteria within Macrophages." Infection and Immunity 71, no. 2 (February 2003): 1016–19. http://dx.doi.org/10.1128/iai.71.2.1016-1019.2003.

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ABSTRACT We employed gentamicin-sensitive and -resistant derivatives of Escherichia coli in a macrophage phagocytosis assay that compared λ bacteriophage and gentamicin as extracellular bactericidal agents. Colony counts and direct microscopic examination of phagocytized E. coli supported the conclusion that gentamicin entered macrophages, even at low concentrations, and contributed to their bactericidal activity. Also, two E. coli strains differing in the ability to express the adhesin of type 1 pili (FimH) were distinguishably different in intracellular survival when λ was used as the extracellular killing agent but were indistinguishable when gentamicin was employed.

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38

Hrabák, Pavel, and Marek Bukáček. "Influence of agents heterogeneity in cellular model of evacuation." Journal of Computational Science 21 (July 2017): 486–93. http://dx.doi.org/10.1016/j.jocs.2016.08.002.

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39

WELLER, PATRICK, and XU YI-CHONG. "AGENTS OF INFLUENCE: COUNTRY DIRECTORS AT THE WORLD BANK." Public Administration 88, no. 1 (January 28, 2010): 211–31. http://dx.doi.org/10.1111/j.1467-9299.2010.01801.x.

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40

Sansberro, P. A., H. Y. Rey, C. V. Luna, and L. A. Mroginski. "INFLUENCE OF GELLING AGENTS ON ILEX PARAGUARIENSIS TISSUE CULTURE." Acta Horticulturae, no. 560 (October 2001): 453–56. http://dx.doi.org/10.17660/actahortic.2001.560.89.

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41

&NA;. "Advertising fails to influence the prescribing of gastrointestinal agents." Inpharma Weekly &NA;, no. 777 (March 1991): 7. http://dx.doi.org/10.2165/00128413-199107770-00014.

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ERGUCU, Z., K. HILLER, and G. SCHMALZ. "Influence of Dentin on the Effectiveness of Antibacterial Agents." Journal of Endodontics 31, no. 2 (February 2005): 124–29. http://dx.doi.org/10.1097/01.don.0000137640.77772.40.

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43

Jost, Stefan, Dirk Hausmann, Peter Lippolt, Uwe Gerhardt, and Paul R. Lichtlen. "Influence of radiographic contrast agents on quantitative coronary angiography." Cardiovascular and Interventional Radiology 20, no. 1 (January 1997): 5–9. http://dx.doi.org/10.1007/s002709900101.

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44

Goertz, Ole, Tobias Hirsch, Andrej Ring, Hans U. Steinau, Adrien Daigeler, Marcus Lehnhardt, and Heinz H. Homann. "Influence of Topically Applied Antimicrobial Agents on Muscular Microcirculation." Annals of Plastic Surgery 67, no. 4 (October 2011): 407–12. http://dx.doi.org/10.1097/sap.0b013e318209a5fc.

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45

Osinga, Thamara E., Ido P. Kema, Michiel N. Kerstens, Wilhelmina H. A. de Jong, Martijn van Faassen, Robin P. F. Dullaart, Thera P. Links, and Anouk N. A. van der Horst-Schrivers. "No influence of antihypertensive agents on plasma free metanephrines." Clinical Biochemistry 49, no. 18 (December 2016): 1368–71. http://dx.doi.org/10.1016/j.clinbiochem.2016.06.004.

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46

Lu, Shaoyong, Xiangcan Jin, Lili Liang, Weiguang Xin, Miaozhuang Zheng, Da Xu, and Fengchang Wu. "Influence of inactivation agents on phosphorus release from sediment." Environmental Earth Sciences 68, no. 4 (July 14, 2012): 1143–51. http://dx.doi.org/10.1007/s12665-012-1816-7.

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47

Kawamori, Ryuzo, Toyohiko Morishima, Masashi Kubota, Munehisa Matsuhisa, Masahiko Ikeda, and Takenobu Kamada. "Influence of oral sulfonylurea agents on hepatic glucose uptake." Diabetes Research and Clinical Practice 28 (January 1995): S109—S113. http://dx.doi.org/10.1016/0168-8227(95)01074-n.

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48

Tobu, M., O. Iqbal, H. L. Messmore, Q. Ma, D. A. Hoppensteadt, and J. Fareed. "Influence of Different Anticoagulant Agents on Fibrinopeptide A Generation." Clinical and Applied Thrombosis/Hemostasis 9, no. 4 (October 2003): 273–92. http://dx.doi.org/10.1177/107602960300900403.

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Bansal, Ajay, and Rahul Gupta. "Influence of socialization agents on individual social media behaviour." JIMS8M: The Journal of Indian Management & Strategy 25, no. 4 (2020): 23–31. http://dx.doi.org/10.5958/0973-9343.2020.00029.0.

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50

Ma, Zihong, Yanqiu Ma, Ruihong Wang, and Yujie Chi. "Influence of antigelation agents on frozen egg yolk gelation." Journal of Food Engineering 302 (August 2021): 110585. http://dx.doi.org/10.1016/j.jfoodeng.2021.110585.

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Journal articles on the topic 'Agents with influence'

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