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Relevant bibliographies by topics / Factors influencing

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Academic literature on the topic 'Factors influencing'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 September 2023

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Journal articles on the topic "Factors influencing"

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Stávková, J., L. Stejskal, and Z. Toufarová. "Factors influencing consumer behaviour." Agricultural Economics (Zemědělská ekonomika) 54, No. 6 (June 24, 2008): 276–84. http://dx.doi.org/10.17221/283-agricecon.

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The main aim of the article is to understand the influence of factors biasing purchase decisions connected with measurement of consumers’ involvement. Consumption expenditures are purposefully subdivided according to the classification made by the Statistical Office of the European Communities. The performed survey showed that the most important factors biasing purchases of all commodity groups are products’ characteristics and the perceived quality. Together with these goes the factor price, nevertheless for example for the commodity group health price did not appear in the scale of the perceived importance at all. Factor necessity of need proved to be significant for decision making about the purchase of all commodities with the exception of alcoholic drinks and tobacco and recreation. Former experience compared to that is not crucial for clothing and footwear and housing equipment and contents. For alcoholic drinks and tobacco, there has notably approved also the factor brand. These analyses enable disclosure of rules of consumer decision making and thereby definition which factors for individual commodities should be targeted by the help of the marketing doyens or where the gradual changes should be achieved.

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Syamil, Ahmad. "Factors Influencing International Students Performances." Journal of Advanced Research in Dynamical and Control Systems 12, SP8 (July 30, 2020): 316–24. http://dx.doi.org/10.5373/jardcs/v12sp8/20202529.

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Bovšková, H., and K. Míková. "Factors influencing egg white foam quality." Czech Journal of Food Sciences 29, No. 4 (August 10, 2011): 322–27. http://dx.doi.org/10.17221/435/2010-cjfs.

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The work was targeted on the study of egg white foam forming, including the influence of pH, aluminium ions, xanthan, maltodextrin, and phosphates on the whipping and stability of egg white foams. The whipping was studied with non pasteurised and pasteurised egg white using the blender with planet motion. Both types of egg white formed good foam in the acid area (pH below 4.5) and at neutral pH. Aluminium ions had a positive effect on the foam volume and stability, especially with the non pasteurised egg white. The addition of maltodextrin or saccharose decreased the foam volume but increased the foam stability. The addition of natrium pyrophosphate or natrium hexametaphosphate had a positive effect on the volume, density, and stability of foam. Foams with hexametaphosphate were applied into confectionary products.

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MURASE, Heihachi. "Factors Influencing Adhesion." Journal of the Japan Society of Colour Material 60, no. 4 (1987): 225–36. http://dx.doi.org/10.4011/shikizai1937.60.225.

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Mirzayeva, Jamila Ziyafat. "Factors influencing adaptation." Scientific Bulletin 4 (2021): 104–9. http://dx.doi.org/10.54414/zhir8067.

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The article analyzes the factors influencing adaptation. As a result of the analysis, it turned out that several aspects of this concept have been studied in the scientific literature. In our article, based on the classification of domestic and foreign authors, we investigate the influence of these factors on the propensity of young people to adapt to new professional activities.

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Cockburn, Jill. "Factors influencing prescribing." Medical Journal of Australia 150, no. 1 (January 1989): 52. http://dx.doi.org/10.5694/j.1326-5377.1989.tb136347.x.

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Hemming, Mary P., M. Laurence Mashford, Robert F. W. Moulds, and Neil W. Naismith. "Factors influencing prescribing." Medical Journal of Australia 150, no. 1 (January 1989): 52. http://dx.doi.org/10.5694/j.1326-5377.1989.tb136348.x.

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Farber, Eugene M. "Factors influencing psoriasis." Journal of the American Academy of Dermatology 12, no. 1 (January 1985): 131. http://dx.doi.org/10.1016/s0190-9622(85)80263-2.

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Baron, P. J. "Factors influencing innovation." Technovation 10, no. 6 (September 1990): 379–87. http://dx.doi.org/10.1016/0166-4972(90)90002-2.

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Papadopoulos, Chris, Gerard Leavey, and Charles Vincent. "Factors influencing stigma." Social Psychiatry and Psychiatric Epidemiology 37, no. 9 (September 2002): 430–34. http://dx.doi.org/10.1007/s00127-002-0560-9.

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Dissertations / Theses on the topic "Factors influencing"

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Wilton, Kelly Elizabeth. "Factors influencing the expression of Factor IX." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0025/MQ35993.pdf.

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Lay, Marsha L. "Factors influencing leadership applicants /." free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p3164523.

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Otten, Jörn. "Factors influencing acoustical localization." [S.l.] : [s.n.], 2001. http://deposit.ddb.de/cgi-bin/dokserv?idn=963701517.

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Hansia, Bradley L. "Factors influencing job satisfaction." Thesis, Nelson Mandela Metropolitan University, 2009. http://hdl.handle.net/10948/1111.

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The harassed boss who faces an office full of mutinous, recalcitrant staff every morning may not believe it, but half of South Africa’s employees love their jobs and their employers. That’s according to TNS Research Surveys, which recently released the results of a survey into employee wellbeing and commitment. TNS director Neil Higgs issued a caution, though: because of the tough economic times, employers are likely to be stuck with the malcontents among their staff for longer than they might like (Ferreira, 2009). From the above mentioned it can be deduced that there are many employees who are currently not satisfied with their jobs. This poses a danger for employers and their productivity, as an unsatisfied employee is likely to be an unproductive employee. Satisfied employees are likely to make a better contribution to the economic growth of this country as more drive and motivation will be shown in the workplace. In these tough economic times, those employees who are not satisfied with their jobs are less likely to find employment elsewhere as mentioned above. The main purpose of this research paper was to identify certain factors impacting on job satisfaction. The first step was to complete a literature study on the selected factors which impacts on job satisfaction. The factors selected were that of recruitment and selection, rewards offered by employers, personality of employees and leadership characteristics of superiors. The literature study revealed which methods to use in attempting to deal with the selected factors impacting on job satisfaction. Secondly, the views of staff in various departments and views of staff specifically in the Human Resources department of the selected company were asked various questions in an empirical study. These questions were based on the selected factors mentioned in the previous paragraph, this involved them completing questionnaires. v Based on the findings of the literature study and the empirical study, the last step was to make recommendations to the selected company on how to improve job satisfaction of employees. Recommendations were also made as to what to look for to make it easier in recruiting new employees, who are likely to have enhanced job satisfaction for the good of the company.

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Skagerberg, Elin M. "Factors influencing memory conformity." Thesis, University of Sussex, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.488572.

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The topic of co-witness discussions has become an important focus in eyewitness research due to the acknowledgment that these discussions can lead to transfers of misinformation. One person's memory of an event can influence that of another in a process often referred to as "memory conformity". The aim of this thesis was to try to fill some of the gaps in the memory conformity literature.

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Robinson, D. "Factors influencing paracetamol overdose." Thesis, Queen's University Belfast, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.403484.

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Reed, Ryan R. "Factors Influencing Biotite Weathering." Thesis, Virginia Tech, 2000. http://hdl.handle.net/10919/36282.

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Weathering of biotite supplies nutrients such as K+ and weathers into vermiculite/montmorillonite or kaolinite, which have varying influences on soil properties and characteristics. This study was conducted to determine if the weathering mechanisms of biotite are controlled by temperature, or if other factors, such as vegetation or leaching intensity dominantly influence the weathering process. A column study investigation was conducted to assess the influence of different acids, simulated rainfall rates, surface horizons, and temperature on the weathering and cation release of biotite. A field investigation was also conducted on the clay mineral fraction of soils in Grayson County, VA formed above biotite granite. Selected acid leachates did show a greater Al+3, Fe+2, and Si+4 release with organic acids (ascorbic, citric, and fulvic) than that with hydrochloric acid treatment at high leachate rates. Loss of K+ is greater with ascorbic acid than all other acids at high leachate rates. Leachate rate interaction with low temperature was an influencing factor in cation release. Field investigations revealed a greater weathering intensity at high elevations evidenced by; (i) higher clay content, (ii) a dominance of 2:1 minerals, (iii) greater surface area in the upper horizons, (iv) minerals indicative of later stages in the biotite weathering mechanism, and (v) precipitation of halloysite in the C horizon at the high elevation site where temperature is lower and a suspected higher leaching intensity occur.
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Hall, Calvin J. III. "Factors Influencing Perceptual Distance." VCU Scholars Compass, 2018. https://scholarscompass.vcu.edu/etd/5584.

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Previous research shows that social biases, such as pro-White racial bias, can influence a person's decisions and behaviors (Correll et al. 2007; Mekawi & Bresin, 2015). Studies also suggest that social biases may influence basic functions like visual perception (Cesario & Navarrete, 2014); however, few studies have examined the relationship between visual perceptions and threat (Cesario, Placks, Hagiwara, Navarrete, & Higgins, 2010; Todd, Thiem, & Neel, 2016). The current research aims to investigate whether implicit pro-White preference can influence basic functions like visual perception. A secondary aim of this study is to examine the role of threat in this relationship. To test, White male and female participants (N= 29) were asked to complete distance estimates to either a Black or White male experimenter. It was hypothesized that participants would judge the distance to the Black confederate as closer compared to those who estimate the distance to a White confederate. The results marginally supported the idea that participants’ distance judgements were influenced by the experimenter’s race, such that the Black experimenter was viewed as closer when compared to the White experimenter. However, results showed that implicit racial attitudes did not influence distance estimations, but explicit bias did. Fully powered follow-up studies will be conducted to further examine these hypotheses and investigate whether a type one error was present.

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Savatteri, Giuseppe. "Enviromental factors influencing heart diseases." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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È importante individuare strategie e meccanismi per sfruttare le opportunità offerte dalla digitalizzazione in ambito sanitario delle attività e dalla gestione dei Big Data per migliorare efficienza, monitoraggio, prevenzione e cura delle patologie. possibilità di applicazione della medicina di precisione, refertazione in anatomia patologica e automazione della raccolta dati. Il lavoro di tesi è incentrato sulle problematiche legate alle malattie cardio-cerebrovascolari e la loro correlazione con il territorio con cui i soggetti interagiscono. È stato realizzato un nuovo sistema di monitoraggio del territorio che possa individuare possibili legami tra la composizione del territorio, in termini di opere pubbliche e private, e lo stato di salute delle persone. Un apposito insieme di dati viene fornito al modello di modello di machine learning, basato sulle reti neurali e provvederà ad operare nell'estrazione di possibili correlazioni tra la tipologia di edifici e la percentuale di soggetti a rischio cardiovascolare.

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Wallén, Warner Henriette. "Factors Influencing Drivers' Speeding Behaviour." Doctoral thesis, Uppsala University, Department of Psychology, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-7308.

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Every year many people all over the world are killed and severely injured in road traffic accidents. Even though driving too fast is a behaviour well known to contribute to both the number and the outcome of these accidents, drivers are still speeding. The general aim of this thesis, and its five empirical studies, is therefore to further the knowledge about drivers speeding behaviour by using the theory of planned behaviour and the model underpinning the driver behaviour questionnaire as frames of reference. The behavioural data used is obtained from field trials with intelligent speed adaptation and the speed reducing potential of this system is also examined. The results show that attitude towards exceeding the speed limits, subjective norm, perceived behavioural control and moral norm from the theory of planned behaviour, but also violations and inattention errors from the model underpinning the driver behaviour questionnaire, can be used to predict drivers’ everyday speeding behaviour. These two models can also be combined in order to gain further knowledge about the causes of speeding. Identification of drivers’ beliefs about exceeding the speed limits gives further insight into the underlying cognitive foundation of their attitude, subjective norm and perceived behavioural control. This provides valuable information for future design of speed reducing measures. Regarding intelligent speed adaptation, the results show that the ISA speed-warning device greatly reduces the amount of time drivers spend above the speed limits, and to some extent also reduces their mean speeds, but that this effect decreases with time. Although the drivers are not totally satisfied with the experience of the ISA speed-warning device, they like the idea and can see its usefulness. As the device tested is a first generation ISA speed-warning device, further research has the potential to greatly improve the system.

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Books on the topic "Factors influencing"

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Arkin, Yaacov. Geotechnical factors influencing marl slopes. Jerusalem: Geological Survey of Israel, 1986.

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MacKenzie, Joanne. Factors influencing maternal childbirth satisfaction. Ottawa: National Library of Canada, 1990.

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Brophy, Jim. Psychological factors influencing learning: Reader. London: University of Greenwich, 1994.

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Sakamoto, Kumiko. Factors Influencing Child Survival in Tanzania. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-7639-9.

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Devos, Ken. Factors Influencing Individual Taxpayer Compliance Behaviour. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-7476-6.

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Yi, Chŏng-gyu. Historic factors influencing Korean higher education. Somerset, NJ: Jimoondang International, 2000.

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Lee, Jeong-kyu. Historic factors influencing Korean higher education. Seoul: Jimoondang International, 2000.

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Historic factors influencing Korean higher education. Somerset, NJ: Jimoondang International, 2000.

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Eng, Allan. Factors influencing inadvertent plagiarism of sentences. Ottawa: National Library of Canada, 1994.

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Hickey, Claire. Factors influencing teenage pregnancy in Malawi. [Zomba, Malawi]: University of Malawi, Centre for Social Research, 1997.

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Book chapters on the topic "Factors influencing"

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Sunil, B. Ratna. "Influencing Factors." In Surface Engineering by Friction-Assisted Processes, 69–82. Includes bibliographical references and index.: Apple Academic Press, 2019. http://dx.doi.org/10.1201/9780429398094-4.

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Berardesca, Enzo, and Norma Cameli. "Factors Influencing Measurements." In Practical Aspects of Cosmetic Testing, 91–101. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44967-4_10.

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Kuhn, Reinhard, and Sabrina Hoffstetter-Kuhn. "Factors Influencing Performance." In Capillary Electrophoresis: Principles and Practice, 37–101. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-78058-5_3.

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Berardesca, Enzo. "Factors Influencing Measurements." In Practical Aspects of Cosmetic Testing, 89–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-05067-1_10.

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Morris, Trevor, and Simon Goldsworthy. "Factors influencing growth." In Public Relations for Asia, 209–17. London: Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/9780230583450_30.

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Denis, David, and Gohar Stepanyan. "Factors Influencing Dividends." In Dividends and Dividend Policy, 55–69. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118258408.ch4.

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Morris, Trevor, and Simon Goldsworthy. "Factors influencing growth." In Public Relations for the New Europe, 219–28. London: Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/9780230594845_30.

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Newman, Michael C. "Factors Influencing Bioaccumulation." In Fundamentals of Ecotoxicology, 127–55. Fifth edition. | Boca Raton : CRC Press, 2020.: CRC Press, 2019. http://dx.doi.org/10.1201/9781351133999-4.

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Kidner, Maria. "Factors Influencing Perceptions." In Successful Advanced Practice Nurse Role Transition, 57–82. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-53002-0_3.

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Davies, Betty, Rose Steele, and Jennifer Baird. "Personal Influencing Factors." In Pediatric Palliative Care, 108–29. New York: Routledge, 2021. http://dx.doi.org/10.4324/9780429352393-7.

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Conference papers on the topic "Factors influencing"

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Huang, Biyun, and Khe Foon Hew. "Factors Influencing Learning and Factors Influencing Persistence." In the 2017 International Conference. New York, New York, USA: ACM Press, 2017. http://dx.doi.org/10.1145/3077584.3077610.

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Brown, Warren, and Stewart Long. "Factors Influencing Nut Factor Test Results." In ASME 2017 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/pvp2017-65506.

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Nut Factor is used to establish a bolt load for a given applied torque in bolted joint assembly. In previous papers the effects of different factors influencing Nut Factor results were examined, which included the type of anti-seize, bolt and nut material, bolt diameter and amount of anti-seize applied. This paper examines those factors further and then includes additional factors which have been shown to have significant effect on the measured Nut Factor. The knowledge of these factors has been used to adjust the proposed ASTM specification for determining Nut Factor. It is also relevant to application in the field and to ensure that any testing conducted in a laboratory will be applicable in the field.

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Gray, Ian, and Timothy Gibbons. "Factors influencing caving." In Caving 2022: Fifth International Conference on Block and Sublevel Caving. Australian Centre for Geomechanics, Perth, 2022. http://dx.doi.org/10.36487/acg_repo/2205_95.

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Szatmary, Rozalia, and Peter Szikora. "Factors influencing technostress." In 2023 IEEE 21st World Symposium on Applied Machine Intelligence and Informatics (SAMI). IEEE, 2023. http://dx.doi.org/10.1109/sami58000.2023.10044527.

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Sonia, Sonia, and Haryo Suparmun. "Factors Influencing Tax Avoidance." In Proceedings of the 5th Annual International Conference on Accounting Research (AICAR 2018). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/aicar-18.2019.52.

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Aryanto, Dian Bagus, and Ajeng Larasati. "Factors Influencing Mental Toughness." In Proceedings of the 5th ASEAN Conference on Psychology, Counselling, and Humanities (ACPCH 2019). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/assehr.k.200120.066.

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Timimi, Ammar Y. K., and M. A. Mohd Ali. "Sensor factors influencing photoplethysmography." In 2014 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS). IEEE, 2014. http://dx.doi.org/10.1109/apccas.2014.7032808.

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Dong, Dingrui. "Factors Influencing Housing Prices." In EBIMCS 2020: 2020 3rd International Conference on E-Business, Information Management and Computer Science. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3453187.3453321.

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Kondrat, Darya Viktorovna. "Factors influencing consumer behavior." In IX International students' applied research conference, chair Aleksandra Vladimirovna Zaharova. TSNS Interaktiv Plus, 2016. http://dx.doi.org/10.21661/r-80748.

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Israel, Ieuan M., Steven A. Israel, and John M. Irvine. "Factors Influencing CNN Performance." In 2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR). IEEE, 2021. http://dx.doi.org/10.1109/aipr52630.2021.9762112.

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Reports on the topic "Factors influencing"

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Evans, Debra C., and J. T. Roth. Factors Influencing Army Maintenance. Fort Belvoir, VA: Defense Technical Information Center, January 1989. http://dx.doi.org/10.21236/ada205982.

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Jacobs, Patrica A., and Donald P. Gaver. Human Factors Influencing Decision Making. Fort Belvoir, VA: Defense Technical Information Center, July 1998. http://dx.doi.org/10.21236/ada351910.

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Ettema, Robert, Marian Muste, Anton Kruger, and Jon Zufelt. Factors Influencing Ice Conveyance at River Confluences. Fort Belvoir, VA: Defense Technical Information Center, December 1997. http://dx.doi.org/10.21236/ada335571.

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Dennis, Donald F., and Donald F. Dennis. Factors Influencing Recreational Use of Private Woodland. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Research Station, 1990. http://dx.doi.org/10.2737/ne-rn-341.

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Liebman, Susan W. Understanding Factors Influencing The Propagation of Prions. Fort Belvoir, VA: Defense Technical Information Center, December 2007. http://dx.doi.org/10.21236/ada482382.

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Velichkova, Tsvetelina, and Natalya Kilifarska. Factors Influencing the Global Surface Temperature Variability. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, October 2021. http://dx.doi.org/10.7546/crabs.2021.10.10.

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Rahman, Mohammad. Exploring the Factors Influencing Big Data Technology Acceptance. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.7389.

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Dong, Huanjiao, Changhyun Nam, and Young-A. Lee. Factors Influencing Consumers' Purchase Intention of Green Activewear. Ames: Iowa State University, Digital Repository, November 2015. http://dx.doi.org/10.31274/itaa_proceedings-180814-106.

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Chang, Hyo Jung, Jaeki Song, Changdong Yeo, and Jungkyu Kim. Exploring Factors Influencing Perceived Quality on Sportswear Fabric. Ames: Iowa State University, Digital Repository, November 2015. http://dx.doi.org/10.31274/itaa_proceedings-180814-13.

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Vanderploeg, Jennifer, and Seung-Eun Lee. Factors Influencing Pro-Environmental Behavior in Craft Businesses. Ames: Iowa State University, Digital Repository, November 2016. http://dx.doi.org/10.31274/itaa_proceedings-180814-1394.

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