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Journal articles on the topic 'Factors influencing'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 September 2023

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1

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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2

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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3

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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4

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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6

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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7

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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8

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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9

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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10

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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11

Suhaini, Mazlili. "Factors Influencing Student Achievement: A Systematic Review." International Journal of Psychosocial Rehabilitation 24, no. 5 (March 31, 2020): 550–60. http://dx.doi.org/10.37200/ijpr/v24i5/pr201720.

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12

Kim, Yoon Jung. "Factors Influencing Ethical Sensitivity of Nursing Students." Crisis and Emergency Management: Theory and Praxis 12, no. 4 (April 30, 2022): 1–7. http://dx.doi.org/10.14251/jscm.2022.4.1.

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This study was attempted to contribute to the development of educational programs to increase ethical sensitivity by examining the degree of ethical sensitivity of nursing students and identifying the relationship between related variables. The data collection p eriod was from S eptember 2 0 to October 1 0, 2 01 9, a nd 1 35 s tudents in t he 3rd a nd 4 th g rades of t he department of nursing in G city were targeted. As a result of this study, the ethical sensitivity of nursing students showed a statistically significant difference according to major satisfaction and college life satisfaction. The higher the degree of nursing professionalism of nursing students, the higher the degree of ethical sensitivity (r=.70, p<.001), and the nursing professionalism of nursing students was found to be the strongest influencing variable explaining ethical sensitivity (t= 10.39, p<.001). Finally, nursing professionalism and college life satisfaction of nursing students explained ethical sensitivity by 50.5%. Based on these results, in order to increase the ethical sensitivity of nursing students, it is necessary to establish and strengthen nursing professionalism, and a plan to increase college life satisfaction by encouraging an autonomous college life atmosphere should be prepared.

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13

Müller, M., P. Hrabě, R. Chotěborský, and D. Herák. "Evaluation of factors influencing adhesive bond strength." Research in Agricultural Engineering 52, No. 1 (February 7, 2012): 30–37. http://dx.doi.org/10.17221/4877-rae.

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In the last ten years periods the bonding technology noted a great boom not only in manufacturing industry but in repairing industry, too. The expansion of chemical industry is the cause of this boom. In this way the use of bonding technology in industrial applications brings considerable cost savings. For the successful use of adhesives the knowledge of used adhesives and of further affecting factors is important. Respecting of this know-how is the presumption of the bonded joint successful design. The breaking of the technological procedure and the incorrect design are very often reasons of wrong joints. The paper contains theoretical in formation about the bonded joints creation and some results of laboratory tests inquiring into the reasons which affect the bonded joint strength. For tests the two-component epoxy adhesives were used.

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Hunko, Nataliia. "Factors Influencing the Formation of Human Resources." ECONOMICS & SOCIOLOGY 6, no. 2 (November 20, 2013): 65–72. http://dx.doi.org/10.14254/2071-789x.2013/6-2/6.

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15

AlHisan, Abdullah Abdulrahman, Qumaysh Mohammed Alhuwaymil, Awad Zaed Alasmri, Abdullah Saad Almadhi, Abdulmageed Saleh Alhossan, Abdulrahman Sulaiman Abu Rabiah, Mohammed Ali Alshowier, and Majed Ibrahim Alfaifi. "Factors Influencing a Mother's Ability to Breastfeed." International Journal Of Pharmaceutical And Bio-Medical Science 02, no. 11 (December 5, 2022): 570–75. http://dx.doi.org/10.47191/ijpbms/v2-i11-18.

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Aim. The goal of this essay is to look into the factors that affect moms to start and continue exclusive breastfeeding. Background. Breastfeeding is the most successful and cost-efficient survival strategy, with the potential to cut child mortality in underdeveloped nations by up to 13% [2], [3]. Breastfeeding should begin within one hour of delivery, be exclusive from birth to six months of age, and continue until the child is two years old or older. [4] Materials and Methods. A qualitative design is used in this investigation. The experiences of breastfeeding informants will be collected, summarized, and reported in detail. narratively. In January 2020, a Focus Group Discussion (FGD) was held with mothers of infants aged 5-6 months. The purpose of this study is to investigate exclusive breastfeeding knowledge, practice, and decision making. Result. The majority of moms have received information about exclusive breastfeeding, however there are still some mothers who have not. Mothers who have heard about exclusive breastfeeding nevertheless have varied ideas about how long they should breastfeed. Certainly, the mother is unaware of the length of exclusive nursing. Conclusions. Breastfeeding is a major global public health issue. This review demonstrates that information of exclusive breastfeeding, awareness of breastfeeding methods, and social support (family, husband, and health workers) are all elements that can influence exclusive breastfeeding success. Starting and keeping breastfeeding is still a difficulty for moms today, therefore understanding exclusive breastfeeding, breastfeeding legislation, and social support can all help with nursing success.

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Kim, Yoon Jung. "Factors Influencing Nursing Professionalism of Nursing Students: Factors Influencing Nursing Professionalism." Crisis and Emergency Management: Theory and Praxis 11, no. 3 (June 30, 2021): 23–34. http://dx.doi.org/10.14251/jscm.2021.3.23.

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Thiumsak, Tun, and Athapol Ruangkanjanases. "Factors Influencing International Visitors to Revisit Bangkok, Thailand." Journal of Economics, Business and Management 4, no. 3 (2016): 220–30. http://dx.doi.org/10.7763/joebm.2016.v4.94.

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18

Ali, Noor. "Factors Influencing Out Come of Double Valve Replacement." Journal of Medical Science And clinical Research 04, no. 11 (November 16, 2016): 13955–60. http://dx.doi.org/10.18535/jmscr/v4i11.74.

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19

Kolodizieva, Tetiana. "Assessment of behavioral factors influencing cooperation in logistics." Economics of Development 18, no. 3 (January 13, 2020): 34–44. http://dx.doi.org/10.21511/ed.18(3).2019.04.

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The article explores theoretical and methodical aspects of managing dual relationships that arise between participants in logistic cooperation in the process of formation and functioning of supply chains. The use of a behavioral approach to defining supply chains has allowed identifying and justifying the priority role of behavioral factors that influence modern logistics entities and determine the effectiveness and long-term satisfaction with logistics cooperation. Given the literature summary, the study has classified types of cooperation in logistic activity and proved that among the behavioral factors influencing the of logistical cooperation efficiency, the trust is of particular importance, which remains a limitation, a bottleneck in the process of formation and development of dual relationships in logistics chains. It is proposed to introduce a generic indicator, namely the level of confidence in the supply chain to assess the social, economic and strategic aspects of logistics interaction. A methodological approach to assessing the level of trust in logistic cooperation was adjusted based on determining the composition of criteria that directly affect this indicator and using the expert survey of supply chain participants. The study proposes to use the confidence indicator to form and improve networks and supply chains, taking into account its value when constructing a generalized outsourcing model.

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20

Kazbekova, L., A. Shainurov, K. Utegenova, and N. Zhaksylyk. "FACTORS INFLUENCING THE DEVELOPMENT OF BANKING IN KAZAKHSTAN." Bulletin of the Korkyt Ata Kyzylorda University 60, no. 1 (2022): 247–54. http://dx.doi.org/10.52081/bkaku.2022.v60.i1.032.

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This article analyzes the influence of certain factors on the development of the banking sector in Kazakhstan. At the same time, the article considers the main factors that affect the degree of development of banking activities in Kazakhstan and the deterioration of the financial condition of second-tier banks, based on this, relevant conclusions are drawn about the level of dependence of the bank's activities on these factors, and appropriate measures are proposed to improve the efficiency of the bank. The activity of second-tier banks consists of a set of processes that directly depend on numerous factors of the macro-environment, meso-environment (industry), etc. For classification, factors are grouped into various categories: depending on the place of origin, there are external and internal factors; depending on the significance of the result, there are main and auxiliary; according to the structure, they are divided into simple and complex; according to the time of action, they are grouped into permanent and temporary. Factors related to the environment in which the bank operates are external factors Factors that are directly related to the bank's activities and independently determine its banking policy are called internal. When implementing the forecasting process, it is necessary to comprehensively assess the impact of these factors, identify the prerequisites that hinder or stimulate the development of banking activities, identify the main measures to optimize banking activities and ensure more efficient operation of the bank. Without taking into account the influence of these factors, it is impossible to form development strategies for the bank and the banking system as a whole.

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21

Que, Hoang Xuan, Dinh Tran Ngoc Huy, Nguyen Ngoc Thach, and Tran Duc Thang. "Analyzing Factors Influencing Sustainable Banking Development in Vietnam." Webology 19, no. 1 (January 20, 2022): 3263–74. http://dx.doi.org/10.14704/web/v19i1/web19215.

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We analyze banking sustainability via measuring impacts of various factors on net profit in an econometric model. This study will analyze a typical case of Eximbank (EIB) a listed big bank in Vietnam market. By using Eview software to conduct an econometric (OLS regression) and taking advantage of qualitative analysis and inductive methods, The research findings tell us that because total revenue has higher impact on net profit than sale cost, Eximbank (EIB) need to pay more attention to selling and increasing revenues from business, as well as managing cost better. Next, as CPI, G and R has high positive correlation with net profit, there is policy implication that CPI can increase a little but and GDP growth increase to be in favor of rising net profit of EIB.

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22

V, Ashok M., and Dr Richa Bhalla. "Factors Influencing Consumer’s Thoughts on Green Marketing Practices." International Journal of Trend in Scientific Research and Development Volume-2, Issue-2 (February 28, 2018): 1556–61. http://dx.doi.org/10.31142/ijtsrd10782.

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23

Stávková, J., H. Prudilová, Z. Toufarová, and L. Nagyová. "Factors influencing the consumer behaviour when buying food." Agricultural Economics (Zemědělská ekonomika) 53, No. 6 (January 7, 2008): 276–84. http://dx.doi.org/10.17221/983-agricecon.

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The paper analyses buying behaviour of Czech consumer units on the market with food. Authors present the factors that can influence significantly this behaviour, e.g. price, brand, quality, product attributes, habits, price reductions, advertisement, innovation and word-of-mouth. The results were obtained within the framework of a survey performed in a set of 1 074 Czech households by the staff of the Department of Marketing and Trade, the Mendel University of Agriculture and Forestry Brno, in November and December 2004. Respondents were classified on the base of their annual income, residency, social group, age and education.

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24

Sanjaya, Sigit, Yosi Yulia, Elfiswandi, Zerni Melmusi, and Faradilla Suretno. "Factors influencing equity fund performance: evidence from Indonesia." Investment Management and Financial Innovations 17, no. 1 (March 17, 2020): 156–64. http://dx.doi.org/10.21511/imfi.17(1).2020.14.

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This study aims to discover the factors that affect equity fund performance in companies listed on the Indonesia Stock Exchange (IDX) during 2015–2018. This research is quantitative. Past performance, stock selection skills, market timing abilities, fund size, fund age are independent variables, while fund performance is the dependent variable. The population in this study was 73 equity funds. A total of 21 equity funds were selected as the sample by the purposive sampling method. The analytical method used is panel data regression analysis using the EViews program. Hypotheses were tested using a t-test with a significance level of alpha 0.05. The results show that equity fund past performance, stock selection skill, market timing ability, fund size, fund age and IDX composite index simultaneously have a significant effect on equity fund performance. Stock selection skill and IDX composite index partially have a positive and significant effect on equity fund performance. However, past performance, market timing ability, fund size and fund age have no positive and significant effect on equity fund performance. AcknowledgmentAll authors would like to thank Universitas Putra Indonesia YPTK Padang and Yayasan Perguruan Tinggi Komputer for financial support. Any remaining errors are our own.

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Zakharova, Oksana, and Ella Pridatko. "Factors influencing staff formation processes at industrial enterprises." Nowadays and Future Jobs 1, no. 1 (December 29, 2017): 37–47. http://dx.doi.org/10.21511/nfj.1.2017.05.

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One of the most effective instruments for stabilizing Ukrainian national economy might become increasing the level of competitiveness and profitability of enterprises’ industrial and economic activities, especially in the industrial sector. To demonstrate a positive change, it is advisable to create conditions that could facilitate implementing advanced technologies for rational use of all types of resources at the level of an enterprise, with staff being the key resource. That is why tendencies of accumulating human capital and the prospects of its strategic development will depend on the degree of efficiency with which management organizes work on the implementation of staff formation procedures. At the same time, the effectiveness of personnel formation processes is influenced by a significant number of factors, which may be external and internal by nature, which perform transformational impact on all spheres of the enterprise’s activity, and which may bring both positive and negative consequences. At the same time, companies do not always have at their disposal effective tools for adjusting the consequences, and even less often do they have instruments to cope with these effects so as to benefit from them. Therefore, efficiency and promptness of managerial decisions on preventing negative consequences and increasing the positive impact will depend on the degree of thoroughness and aptness with which the indicated factors can be established, which would further facilitate objectivity, rationality and practical feasibility of the strategy adopted by the enterprise.

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Hatch, Lorin K. "Factors influencing chlorophyll in an agriculturally-impacted river." River Systems 13, no. 1-2 (January 1, 2002): 85–98. http://dx.doi.org/10.1127/lr/13/2002/85.

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Khatimah, Khusnul, and Donny Taufik Ryan. "Factors Influencing Social Media Addictive Behavior:A Systematic Review." International Journal of Research Publication and Reviews 4, no. 5 (May 2023): 3525–32. http://dx.doi.org/10.55248/gengpi.4.523.40871.

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28

Sharif, Nimra. "Factors Influencing Career Choices." IBT Journal of Business Studies 15, no. 1 (2019): 33–45. http://dx.doi.org/10.46745/ilma.jbs.2019.15.01.03.

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Almost every individual is to face the challenge of the occupational choice problem at one or another time. However, students are particularly to encounter such problem while the selection of study programmes. It is widely believed, particularly by students, that selection of study programmes is the major factor, which leads the students to struggle for their desired future career. This study attempted to explore the roles of mothers, fathers, tutors, future income, future status, and societal difference by labelling all of such factors as “Influencers” on the career choice of young students. From this perspective, cross-sectional data based on primary data collection was gathered from different university students based in Karachi via a developed questionnaire and through nonprobabilistic convenience sampling. The gathered data was, subsequently, analyzed through one sample t-test and one way repeated Measure ANOVA by employing SPSS statistical package. The result of the study highlighted the relative importance of various career choice influences & that averages of variables of influence are statistically different F (4.215, 699.727)= 27.405, p<o.o5. These results could be used to make the student opt the right career path and excel in the desired domain.

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YOSHIZAWA, Takashi, and Shigeko FUJISAWA. "Factors Influencing Academic Performance." Rigakuryoho Kagaku 23, no. 3 (2008): 459–62. http://dx.doi.org/10.1589/rika.23.459.

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INOSE, Yuri. "Factors Influencing Faith Succession." Contemporary Sociological Studies 17 (2004): 21–38. http://dx.doi.org/10.7129/jject.17.21.

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Cutting, Keith. "Factors influencing wound healing." Nursing Standard 8, no. 50 (September 7, 1994): 33–36. http://dx.doi.org/10.7748/ns.8.50.33.s39.

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Regnault, T. R. H., S. W. Limesand, and W. W. Hay. "Factors Influencing Fetal Growth." NeoReviews 2, no. 6 (June 1, 2001): 119e—128. http://dx.doi.org/10.1542/neo.2-6-e119.

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Bakiler, Ali Rahmi, Salih Özgür, and Esra Arun Özer. "Factors Influencing on Breastfeeding." Journal of Tepecik Education and Research Hospital 15, no. 2 (2005): 111–15. http://dx.doi.org/10.5222/terh.2005.27392.

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Moon, Hwa Sik. "Factors Influencing Sleep Apnea." Tuberculosis and Respiratory Diseases 47, no. 3 (1999): 293. http://dx.doi.org/10.4046/trd.1999.47.3.293.

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35

Mongiało, Dariusz. "Factors Influencing Service Markets." Gospodarka Narodowa 214, no. 3 (March 31, 2007): 85–98. http://dx.doi.org/10.33119/gn/101403.

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36

Berry, Daniel J. "Factors Influencing Polyethylene Wear." Orthopedics 19, no. 9 (September 1996): 729–31. http://dx.doi.org/10.3928/0147-7447-19960901-05.

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37

Banjanin, Nikolina, and Nikola Banjanin. "Factors influencing Internet addiction." Medicinska istrazivanja 52, no. 3 (2018): 29–31. http://dx.doi.org/10.5937/medist1801029b.

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Using the Internet is a part of everyday life. The Internet is used for various purposes such as obtaining information, communication, education, entertainment. Some of the factors that influence Internet addiction are gender, neuroticism, using the Internet every day. Today it would be difficult to imagine life without the Internet, but it should find a measure in the use of the Internet.

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Hiranmayi, KVidya. "Factors influencing implant stability." Journal of Dental Implants 8, no. 2 (2018): 69. http://dx.doi.org/10.4103/jdi.jdi_14_18.

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Jung, Min-Ho. "Factors influencing treatment efficiency:." Angle Orthodontist 91, no. 1 (November 2, 2020): 1–8. http://dx.doi.org/10.2319/050220-379.1.

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ABSTRACT Objectives The purpose of this cohort study was to evaluate the effect of self-ligating brackets (SB) and other related factors that influence orthodontic treatment time. Materials and Methods This was a two-armed prospective study. Consecutively treated patients who were recruited from a private practice were enrolled and asked to choose between SB and conventional brackets (CB). If the patient did not have a preference, that patient was randomly allocated. An identical archwire sequence was used, and all patients were treated by a single orthodontist. Treatment duration, number of bracket failures, poor oral hygiene, poor elastic wear, whether or not to orthodontic mini-implants (OMI) were used, OMI failure, extraction, American Board of Orthodontics Discrepancy Index, and arch length discrepancy were measured and statistically analyzed using t-tests, correlation analysis, and analysis of covariance (ANCOVA). Stepwise regression analysis was conducted to generate an equation to predict treatment duration. Results A total of 134 patients with an average age of 22.73 years were included. The average treatment duration was 28.63 months. ANCOVA showed no significant difference in treatment duration between CB and SB. Stepwise regression analysis could explain 64.6% of the variance in treatment duration using five variables. Conclusions SB did not exhibit a significant reduction in treatment time as compared with CB. Patient cooperation, extractions, and malocclusion severity had a significant impact on treatment duration.

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Gmoshinskaya, M. V. "Factors influencing on lactation." Current pediatrics 12, no. 2 (March 19, 2013): 139. http://dx.doi.org/10.15690/vsp.v12i2.633.

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Ambrose, Brent, and Hugh Nourse. "Factors Influencing Capitalization Rates." Journal of Real Estate Research 8, no. 2 (January 1, 1993): 221–37. http://dx.doi.org/10.1080/10835547.1993.12090706.

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Al Ruqaishi, Salama Abdul Aziz. "Factors Influencing Teachers' Engagement." International Journal of Education 14, no. 1 (January 14, 2022): 1. http://dx.doi.org/10.5296/ije.v14i1.18366.

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This study is about teachers’ engagement in a University Foundation Programme in Oman. In particular, the study probes the learning-teaching beliefs that both teachers and students hold inside the classroom in an Omani context. These students are in their first university year and come from a range of settings in Oman, so these learning beliefs could result from learning styles in the school being different to those in a university. The students were not used to be taught English as a second language in schools and they are not used to be taught by native speakers of the language. These changes in students’ learning environment could influence teachers' engagement inside the classroom. This study used both quantitative and qualitative methods to answer the research questions. The Engaged Teacher Scale (ETS) and the Questionnaire on Teacher Interaction (QTI) were both used in this study. The Engaged Teacher Scale was in teachers’ questionnaire, students’ questionnaire and in the form of a closed diary every two weeks. The Questionnaire on Teacher Interaction (QTI) had two versions, one for teachers and one for students. Semi-structured interviews were conducted for both teachers and students to give reasons for their responses in the questionnaires and diaries. Analysis of variance showed a main effect of Students’ Level on their Social Engagement with their teachers. Teachers’ data also shows that Pre-Foundation (A) teachers were more socially engaged with their students which agree with the students’ data, but Social Engagement was not significant with Teachers’ data. Results from Teachers’ Diaries also indicated that participants did rate the three Emotional Engagement differently and that these differences were statically significant. This showed the importance of Teachers’ Emotional Engagement when the decreasing significance of Emotional Engagement can decrease all components of Teachers’ Engagement.

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Perez, Vanascheck Villanueva, Jorge Jaime Flores Treviño, Myriam Angelica De La Garza Ramos, Hilda Lourdes Muñuzuri Arana, Julio Cesar Adams Ocampo, Maria Argelia Akemi Nakagoshi Cepeda, Ricardo Daniel Montenegro Jaramillo, and Juan Manuel Solis Soto. "Endodontic surgery: Influencing factors." International Journal of Applied Dental Sciences 8, no. 1 (January 1, 2022): 06–10. http://dx.doi.org/10.22271/oral.2022.v8.i1a.1394.

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Alifa, Dhara, R. Amir Hamzah, and Jeanny E. Ladi. "Influencing Factors of Melasma." Scientific Research Journal 9, no. 10 (October 25, 2021): 26–28. http://dx.doi.org/10.31364/scirj/v9.i10.2021.p1021884.

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Fang, Hua, Lu Hai Li, Wen Bo Li, Xian Leng, Xu Wei Hu, and Wei Wei Li. "Factors Influencing Dye Colors." Advanced Materials Research 284-286 (July 2011): 2041–44. http://dx.doi.org/10.4028/www.scientific.net/amr.284-286.2041.

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In order to anticipate the color of dye ink more accurately, WENZHOU Mernuo Red-10 as an example, who was dissolved in different polarity solvent by magnetic stirring and ultrasonic agitation, the influence for properties of solvent on color of dye was researched with the coating method through contrasting sample papers. The influence for pH values of the solution and adding water to Red-10 solution on color of dye were also researched. It's shown that with the increased polarity of the solution,the absorption wavelength of Red-10 reduced gradually,light shade effect was caused. For the same solvent,with the pH values of the solvent increased,the absorption wavelength of Red-10 reduced gradually,light shade effect was caused.And all the factors affect the L,a,b values of the Red-10 dye's samples.

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Szczepańska, Katarzyna, and Dariusz Kosiorek. "Factors influencing organizational culture." Scientific Papers of Silesian University of Technology. Organization and Management Series 2017, no. 100 (2017): 457–68. http://dx.doi.org/10.29119/1641-3466.2017.100.34.

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Chang, Steven D., Jose G. Pecego, Karla Zadnik, Mary Beth Danneffel, Donald O. Mutti, and Mark J. Mannis. "Factors Influencing Graft Clarity." Cornea 15, no. 6 (November 1996): 577???581. http://dx.doi.org/10.1097/00003226-199611000-00007.

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LOPEZ, ANA D., and GILLIAN M. BEATTIE. "FACTORS INFLUENCING ISLET TRANSPLANTATION." Transplantation 49, no. 1 (January 1990): 224. http://dx.doi.org/10.1097/00007890-199001000-00052.

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Mirhadi, Sara, Neil Ashwood, and Babis Karagkevrekis. "Factors influencing fracture healing." Trauma 15, no. 2 (April 2013): 140–55. http://dx.doi.org/10.1177/1460408613486571.

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GOLDENBERG, ROBERT L. "Factors Influencing Perinatal Outcomes." Annals of the New York Academy of Sciences 1038, no. 1 (December 2004): 227–34. http://dx.doi.org/10.1196/annals.1315.032.

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