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Статті в журналах з теми "FACTORS CONTRIBUTION"

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Автор: Grafiati

Опубліковано: 11 вересня 2023

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1

Palermo, Michele, Stefano Silvestri, Giada Gasparini, and Tomaso Trombetti. "Seismic Modal Contribution Factors." Bulletin of Earthquake Engineering 13, no. 10 (April 23, 2015): 2867–91. http://dx.doi.org/10.1007/s10518-015-9757-7.

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2

Kumari, S. Ashwini, Saritha Devi, and K. Mayuri. "Family Factors and Academic Achievement: A Comparative Study of Residential School Children and Rural Government School Children." IRA International Journal of Education and Multidisciplinary Studies (ISSN 2455-2526) 7, no. 3 (June 24, 2017): 190. http://dx.doi.org/10.21013/jems.v7.n3.p3.

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<div><p>The study compares the effects of family factors contributing to the High Academic Achievement of Private Residential School Children and Rural Government School Children. Children studying in selected private residential schools and rural government schools in IX and X classes with highest ranks (first 3-4 ranks) in the previous year were selected. Total sample comprised 240 children, 120 from each setting, 60 from IX class and 60 from X class. An Interview schedule was developed by the investigator for the children to know their perceptions about family contributing factors. The study concluded that children of Private Residential Schools and Rural Government Schools were average and similar in their perceptions regarding parental contributions for their Academic Achievement. High Parental Aspirations Expectations helped in high achievement in both groups but comparatively high in Private Residential School children. Whereas contribution of Siblings Relationship and Assistance of others was high in Rural Government School children and average in Private Residential School children. Coming to the gender and age variations in family contributing factors, there was significantly high parental contributions for Academic Achievement of boys than girls in private Residential schools and higher age group children of Rural Government schools have significantly more parental contribution for their Academic Achievement than lower age group children. Achievement in English was highly positively correlated with family’s Economic status in Private Residential schools. There was significant positive correlation between achievement in mathematics and parental contribution, achievement in science and Parental Aspirations in Rural Government School children.</p></div>

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3

Klemmer, Edmund T. "Some Successful Applications of Human Factors." Proceedings of the Human Factors Society Annual Meeting 30, no. 5 (September 1986): 456–58. http://dx.doi.org/10.1177/154193128603000510.

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Much of the most successful applied human factors work is unknown outside of the groups which perform the studies because the work is done in an environment which reinforces direct contribution to the efforts of the employer rather than contributions to the professional literature. Propriety considerations often pose problems even when the author is willing to write papers for professional societies. The present paper briefly describes work done at the Bell Laboratories which had significant positive impact on products produced but which is little known to others. The work relates to products and services already released and none is now propriety. The purpose of describing these studies is to show the variety of approaches which have been successful and to demonstrate the potential contribution of applied human factors work. I have tried to give credit to the principal investigators in each study but, of course, there were many others who made contributions to each project.

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4

von Niman, Bruno, and Knut Nordby. "ETSI’s human factors contribution to eEurope." Universal Access in the Information Society 3, no. 1 (February 17, 2004): 107–10. http://dx.doi.org/10.1007/s10209-003-0080-8.

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5

Ko, Byoung-Goo, Eun-Hyung Cho, Jin-Seok Chae, and Ji-Hoon Lee. "Relative Contribution among Physical Fitness Factors Contributing to the Performance of Modern Pentathlon." International Journal of Environmental Research and Public Health 18, no. 9 (May 3, 2021): 4880. http://dx.doi.org/10.3390/ijerph18094880.

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This study reveals the relationship between physical fitness factors and performance in modern pentathlon and identifies the contribution of each physical factor to overall performance. The physical fitness assessment data and the competition records collected by the Korean national team pentathletes for the years 2005 to 2019 were tracked. The correlation between the competition records and fitness factors was confirmed by correlation analysis. In addition, the physical factors affecting performance were identified through multiple regression analysis, and the average difference between national and international competitions was verified by t-test. The first result was that fencing, swimming, and horseback riding rankings were more relevant to the overall pentathlon performance score than the combined rankings in national competitions. In the international competitions, performance in the combined running and shooting event was more relevant than fencing, swimming, and horseback riding. Second, the basic fitness factors of grip strength and sergeant jump and the specific fitness factors of leg strength—left and right average flexor were correlated with overall pentathlon performance national competitions. However, in international competitions, sergeant jump, 20 m shuttle run, reaction time, lung capacity, and back strength were correlated (presented in high to low order). In terms of the specific fitness factors, relative (%BW) and absolute (Nm) leg strength—left and right average flexor, lower body anaerobic fatigue rate, half squat, relative (W/kg) and absolute (Watts) maximal lower body anaerobic power were correlated accordingly with overall pentathlon performance. Third, we analyzed the differences between average performance in national and international competitions. Only the combined running and shooting event out of the five modern pentathlon events showed a difference. Grip strength and relative leg strength—average extensor AP (%BW) appeared to be different among the physical fitness factors. Fourth, we examined the level of contribution of each of the fitness factors on overall performance. The model’s goodness of fit was confirmed, and grip strength was found to have a significant contribution on overall performance. Furthermore, the level of contribution was higher in the following order: relative leg strength—left and right average flexor (%BW), bench press, half squat, relative leg strength—average extensor AP(%BW), GXT—time to exhaustion, relative lower body anaerobic average power (W/kg), and maximal lactic acid concentration. With the 2020 Tokyo Olympics just around the corner, combined running and shooting performance appeared to be a decisive factor in the final ranking in modern pentathlon according to the analysis of the basic and specific fitness factors of pentathletes. The basic fitness factors are critical in order of sergeant jump, grip strength, reaction time, lung capacity, side-step, back strength, 20m shuttle run, sit-and-reach, sit-ups, and single leg standing. With respect to the specific fitness factors, relative leg strength—left and right average flexor (%BW), bench press, half squat, relative leg strength—average extensor AP (%BW), GXT—time to exhaustion, relative lower body anaerobic average power (W/kg), and maximal lactic acid concentration showed their relevance accordingly.

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6

Crăescu, Mihaela, Laura Rebegea, Elena Niculeț, Carmen Bobeica, and Alin Laurențiu Tatu. "Environmental factors’ contribution in skin cancer etiology." Annals of the ”Dunarea de Jos” University of Galati. Fascicle II, Mathematics, Physics, Theoretical Mechanics 43, no. 2 (December 26, 2020): 165–69. http://dx.doi.org/10.35219/ann-ugal-math-phys-mec.2020.2.14.

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7

Górski, F. "Contribution to the theory of limiting factors." Acta Societatis Botanicorum Poloniae 22, no. 1 (2017): 1–31. http://dx.doi.org/10.5586/asbp.1953.001.

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8

Ariyani, Dwi Fitria, and Lina Handayani. "Contribution Factors on Early Initiation of Breastfeeding." International Journal of Public Health Science (IJPHS) 4, no. 3 (September 1, 2015): 192. http://dx.doi.org/10.11591/ijphs.v4i3.4732.

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One of the causes of high Infant Mortality Rate is the low coverage of exclusive breastfeeding. One of the supporting factors to exclusive breastfeeding is implementation of Early Initiation of Breastfeeding (EIB). Mother’s knowledge and understanding about the EIB, as well as the role of birth attendants, especially midwives can be strongly support it’s the EIB. The purpose of this research was to determine the relationship between mother's knowledge, mother’s attitudes and midwife role with the implementation of Early Initiation of Breastfeeding (EIB). The research was an observational analytic research employed cross sectional design. The subjects were maternity mothers who inpatient at Pulang Pisau Hospital in Central Kalimantan Province, Indonesia. The results showed that there were significant relationships between mother's knowledge, attitudes and midwife role with the Implementation of Early Initiation of Breastfeeding (EIB). Attitude was the most influenced variable to the EIB.

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9

Boffetta, Paolo, and Fredrik Nyberg. "Contribution of environmental factors to cancer risk." British Medical Bulletin 68, no. 1 (December 1, 2003): 71–94. http://dx.doi.org/10.1093/bmp/ldg023.

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10

Deighton, C. M., J. Wentzel, G. Cavanagh, D. F. Roberts, and D. J. Walker. "Contribution of inherited factors to rheumatoid arthritis." Annals of the Rheumatic Diseases 51, no. 2 (February 1, 1992): 182–85. http://dx.doi.org/10.1136/ard.51.2.182.

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11

Iavicoli, Ivo, Veruscka Leso, and Matteo Cesari. "The contribution of occupational factors on frailty." Archives of Gerontology and Geriatrics 75 (March 2018): 51–58. http://dx.doi.org/10.1016/j.archger.2017.11.010.

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12

Ariyani, Dwi Fitria, and Lina Handayani. "Contribution Factors on Early Initiation of Breastfeeding." International Journal of Public Health Science (IJPHS) 4, no. 3 (September 1, 2015): 192. http://dx.doi.org/10.11591/.v4i3.4732.

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Анотація:

One of the causes of high Infant Mortality Rate is the low coverage of exclusive breastfeeding. One of the supporting factors to exclusive breastfeeding is implementation of Early Initiation of Breastfeeding (EIB). Mother’s knowledge and understanding about the EIB, as well as the role of birth attendants, especially midwives can be strongly support it’s the EIB. The purpose of this research was to determine the relationship between mother's knowledge, mother’s attitudes and midwife role with the implementation of Early Initiation of Breastfeeding (EIB). The research was an observational analytic research employed cross sectional design. The subjects were maternity mothers who inpatient at Pulang Pisau Hospital in Central Kalimantan Province, Indonesia. The results showed that there were significant relationships between mother's knowledge, attitudes and midwife role with the Implementation of Early Initiation of Breastfeeding (EIB). Attitude was the most influenced variable to the EIB.

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13

Sibly, Richard M., та Robert H. Smith. "Identifying key factors using λ contribution analysis". Journal of Animal Ecology 67, № 1 (січень 1998): 17–24. http://dx.doi.org/10.1046/j.1365-2656.1998.00178.x.

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14

Darlington, Gerarda A., Janey Shin, Andrew D. Paterson, Ying Liu, Shafagh Fallah, and Camil Toma. "Evaluation of the contribution of environmental factors." Genetic Epidemiology 17, S1 (1999): S533—S538. http://dx.doi.org/10.1002/gepi.1370170786.

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15

Cheng, Min, Ying Wang, Jinxia Zhu, and Yi Pan. "Precipitation Dominates the Relative Contributions of Climate Factors to Grasslands Spring Phenology on the Tibetan Plateau." Remote Sensing 14, no. 3 (January 21, 2022): 517. http://dx.doi.org/10.3390/rs14030517.

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Temperature and precipitation are the primary regulators of vegetation phenology in temperate zones. However, the relative contributions of each factor and their underlying combined effect on vegetation phenology are much less clear, especially for the grassland of the Tibetan Plateau To quantify the contribution of each factor and the potential interactions, we conducted redundancy analysis for grasslands spring phenology on the Tibetan Plateau during 2000–2017. Generally, the individual contribution of temperature and precipitation to grasslands spring phenology (the start of growing season (SOS)) was lower, despite a higher correlation coefficient, which further implied that these factors interact to affect the SOS. The contributions of temperature and precipitation to the grasslands spring phenology varied across space on the Tibetan Plateau, and these spatial heterogeneities can be mainly explained by the spatial gradient of long-term average precipitation during spring over 2000–2017. Specifically, the SOS for meadow was dominated by the mean temperature in spring (Tspring) in the eastern wetter ecoregion, with an individual contribution of 24.16% (p < 0.05), while it was strongly negatively correlated with the accumulated precipitation in spring (Pspring) in the western drier ecoregion. Spatially, a 10 mm increase in long-term average precipitation in spring resulted in an increase in the contribution of Tspring of 2.0% (p < 0.1) for meadow, while it caused a decrease in the contribution of Pspring of −0.3% (p < 0.05). Similarly, a higher contribution of Pspring for steppe was found in drier ecoregions. A spatial decrease in precipitation of 10 mm increased the contribution of Pspring of 1.4% (p < 0.05). Considering these impacts of precipitation on the relative contribution of warming and precipitation to the SOS, projected climate change would have a stronger impact on advancing SOS in a relatively moist environment compared to that of drier areas. Hence, these quantitative interactions and contributions must be included in current ecosystem models, mostly driven by indicators with the direct and the overall effect in response to projected climate warming.

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16

Cao, Zicheng, Feng Tang, Cai Chen, Chi Zhang, Yichen Guo, Ruizhen Lin, Zhihong Huang, et al. "Impact of Systematic Factors on the Outbreak Outcomes of the Novel COVID-19 Disease in China: Factor Analysis Study." Journal of Medical Internet Research 22, no. 11 (November 11, 2020): e23853. http://dx.doi.org/10.2196/23853.

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Background The novel COVID-19 disease has spread worldwide, resulting in a new pandemic. The Chinese government implemented strong intervention measures in the early stage of the epidemic, including strict travel bans and social distancing policies. Prioritizing the analysis of different contributing factors to outbreak outcomes is important for the precise prevention and control of infectious diseases. We proposed a novel framework for resolving this issue and applied it to data from China. Objective This study aimed to systematically identify national-level and city-level contributing factors to the control of COVID-19 in China. Methods Daily COVID-19 case data and related multidimensional data, including travel-related, medical, socioeconomic, environmental, and influenza-like illness factors, from 343 cities in China were collected. A correlation analysis and interpretable machine learning algorithm were used to evaluate the quantitative contribution of factors to new cases and COVID-19 growth rates during the epidemic period (ie, January 17 to February 29, 2020). Results Many factors correlated with the spread of COVID-19 in China. Travel-related population movement was the main contributing factor for new cases and COVID-19 growth rates in China, and its contributions were as high as 77% and 41%, respectively. There was a clear lag effect for travel-related factors (previous vs current week: new cases, 45% vs 32%; COVID-19 growth rates, 21% vs 20%). Travel from non-Wuhan regions was the single factor with the most significant impact on COVID-19 growth rates (contribution: new cases, 12%; COVID-19 growth rate, 26%), and its contribution could not be ignored. City flow, a measure of outbreak control strength, contributed 16% and 7% to new cases and COVID-19 growth rates, respectively. Socioeconomic factors also played important roles in COVID-19 growth rates in China (contribution, 28%). Other factors, including medical, environmental, and influenza-like illness factors, also contributed to new cases and COVID-19 growth rates in China. Based on our analysis of individual cities, compared to Beijing, population flow from Wuhan and internal flow within Wenzhou were driving factors for increasing the number of new cases in Wenzhou. For Chongqing, the main contributing factor for new cases was population flow from Hubei, beyond Wuhan. The high COVID-19 growth rates in Wenzhou were driven by population-related factors. Conclusions Many factors contributed to the COVID-19 outbreak outcomes in China. The differential effects of various factors, including specific city-level factors, emphasize the importance of precise, targeted strategies for controlling the COVID-19 outbreak and future infectious disease outbreaks.

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17

Saputra, Arief Dwi, Alfina Rahmatia, and Muslimah Muslimah. "How personal factors grow students' interest in entrepreneurship." Jurnal Manajemen dan Pemasaran Jasa 14, no. 1 (April 6, 2021): 61. http://dx.doi.org/10.25105/jmpj.v14i1.8336.

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<p>This study investigates how personal factors can influence entrepreneurship's interest in terms of cognitive variables with indicators of skills and knowledge, affective variables with indicators of attitude and value, and conative variables with indicators of behavior and experience. This study uses a quantitative strategy through a sample of 338 informants. The root of the problem is reviewed from the literature review and strengthened by data collection from the online interview process. Based on these results, personal factors through related variables and indicators can be used as a research agenda to answer corporate contributions problems that offer answers related to reasons for entrepreneurship. The implication is aimed as a strategy to foster student interest in entrepreneurship by showing a close relationship that is mutually supportive and relevant from contributing to each variable related to personal factors. This study also provides a scientific contribution in the form of knowledge about an entrepreneurial interest created from personal factors.</p>

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18

Walczak, Steven, and Vic Velanovich. "Identification of Preoperative Clinical Factors Associated With Perioperative Blood Transfusions." International Journal of Health Systems and Translational Medicine 1, no. 1 (January 2021): 62–75. http://dx.doi.org/10.4018/ijhstm.2021010103.

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Predicting patients' surgical transfusion needs preoperatively enables more efficient blood resource management. Identifying the significance of variables to use for transfusion predictions may be accomplished more reliably using machine learning, specifically artificial neural networks (ANN). A logistic regression model and two ANN programs are used to identify the contribution of nine variables selected following a literature review. The first ANN uses a sum of the weights method to identify variable contribution and the second ANN uses a leave one out strategy to identify variable contribution. All models indicated that hematocrit was the most significant variable for predicting perioperative blood transfusions. The weighted averages method indicated wRVU's and ASA score were the next most significant contributors. The leave one out method identified sex and INR as contributing to transfusion prediction. The importance of the variables other than hematocrit varied between techniques and may be dependent on the modeling method used.

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19

Wei, Shengbao, Anchun Peng, Xiaomin Huang, Aixing Deng, Changqing Chen, and Weijian Zhang. "Contributions of Climate and Soil Properties to Wheat and Maize Yield Based on Long-Term Fertilization Experiments." Plants 10, no. 10 (September 24, 2021): 2002. http://dx.doi.org/10.3390/plants10102002.

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Identifying the contributions of climate factors and soil fertility to crop yield is significant for the assessment of climate change impacts on crop production. Three 20-year field experiments were conducted in major Chinese wheat-maize cropping areas. Over the 20-year period, crop yield and soil properties showed significantly dissimilar variation trends under similar climate changes at each experimental site. The correlation between climatic factors and crop yield varied greatly among the fertilization regimes and experimental sites. Across all the fertilization regimes and the experimental sites, the average contribution rates of soil properties to wheat and maize yield were 45.7% and 53.2%, respectively, without considering climate factors, and 40.4% and 36.6%, respectively, when considering climate factors. The contributions of soil properties to wheat and maize yield variation when considering climate factors were significantly lower than those without considering climate factors. Across all experimental sites and all fertilization regimes, the mean contribution rates of climate factors to wheat and maize yield were 29.5% and 33.0%, respectively. The contribution rates of the interaction of climate and soil to wheat and maize yield were 3.7% and −0.9%, respectively. Under balanced fertilization treatments (NPK and NPKM), the change in the contribution rate of soil properties to wheat or maize yield was not obvious, and the average contribution rates of the interaction of climate and soil to wheat and maize yield were positive, at 14.8% and 9.5%, respectively. In contrast, under unbalanced fertilization treatments (CK and N), the contribution rates of soil properties to wheat or maize yield decreased, and the average contribution rates of the interaction of climate and soil were negative, at −7.4% and −11.2%, respectively. The above results indicate that climate and soil synergistically affected crop yields and that, with the optimization of the fertilization regime, positive interactions gradually emerged.

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20

Sowlat, Mohammad Hossein, Sina Hasheminassab, and Constantinos Sioutas. "Source apportionment of ambient particle number concentrations in central Los Angeles using positive matrix factorization (PMF)." Atmospheric Chemistry and Physics 16, no. 8 (April 20, 2016): 4849–66. http://dx.doi.org/10.5194/acp-16-4849-2016.

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Abstract. In this study, the positive matrix factorization (PMF) receptor model (version 5.0) was used to identify and quantify major sources contributing to particulate matter (PM) number concentrations, using PM number size distributions in the range of 13 nm to 10 µm combined with several auxiliary variables, including black carbon (BC), elemental and organic carbon (EC/OC), PM mass concentrations, gaseous pollutants, meteorological, and traffic counts data, collected for about 9 months between August 2014 and 2015 in central Los Angeles, CA. Several parameters, including particle number and volume size distribution profiles, profiles of auxiliary variables, contributions of different factors in different seasons to the total number concentrations, diurnal variations of each of the resolved factors in the cold and warm phases, weekday/weekend analysis for each of the resolved factors, and correlation between auxiliary variables and the relative contribution of each of the resolved factors, were used to identify PM sources. A six-factor solution was identified as the optimum for the aforementioned input data. The resolved factors comprised nucleation, traffic 1, traffic 2 (with a larger mode diameter than traffic 1 factor), urban background aerosol, secondary aerosol, and soil/road dust. Traffic sources (1 and 2) were the major contributor to PM number concentrations, collectively making up to above 60 % (60.8–68.4 %) of the total number concentrations during the study period. Their contribution was also significantly higher in the cold phase compared to the warm phase. Nucleation was another major factor significantly contributing to the total number concentrations (an overall contribution of 17 %, ranging from 11.7 to 24 %), with a larger contribution during the warm phase than in the cold phase. The other identified factors were urban background aerosol, secondary aerosol, and soil/road dust, with relative contributions of approximately 12 % (7.4–17.1), 2.1 % (1.5–2.5 %), and 1.1 % (0.2–6.3 %), respectively, overall accounting for about 15 % (15.2–19.8 %) of PM number concentrations. As expected, PM number concentrations were dominated by factors with smaller mode diameters, such as traffic and nucleation. On the other hand, PM volume and mass concentrations in the study area were mostly affected by sources with larger mode diameters, including secondary aerosols and soil/road dust. Results from the present study can be used as input parameters in future epidemiological studies to link PM sources to adverse health effects as well as by policymakers to set targeted and more protective emission standards for PM.

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21

Li, Xiaoling, Lizhen Wang, Haihong Li, Yong Zhao, Hao Wang, Changhai Qin, and Jiaqi Zhai. "Driving Factors of Industrial Water Use Change Based on Carbon Emission and Sectoral Perspectives in Hebei Province, China." Water 15, no. 7 (March 27, 2023): 1311. http://dx.doi.org/10.3390/w15071311.

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Hebei Province in China is facing a serious water shortage, which is further aggravated by the pressure of industrial transfer and the unreasonable structure of industrial water use. To explore the relationship between industrial water use and carbon emissions, in this study, a refined logarithmic mean divisia index (LMDI) decomposition method was developed to analyze the driving factors of industrial water use in Hebei Province during 2008–2019 from carbon emission and sectoral perspectives. The results show that the carbon emission effect, the water–carbon effect, and the industrial structure effect were the main factors contributing to the decrease in industrial water use during the study period. The carbon emission effect made a great contribution to its decline. The cumulative contributions of these factors were −1425, −533, and −763 million m3 from 2008 to 2019. The contribution of the industrial structure effect was −106.93%, with a large potential for water saving. According to the sectoral analysis, the 32 sectors in Hebei Province exhibited significant sectoral heterogeneity, and the strong promoting industries were identified as the main sectors contributing to the increase in the promotion of industrial water use. This paper provides a reference for the scientific formulation of water-saving and emission-reduction policies and research on the water–carbon relationship in Hebei Province.

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22

HIRAI, Toshiya, Norikazu ITO, and Manabu KANO. "Identifying Causal Factors by Mean-value Replacement Contribution." Transactions of the Society of Instrument and Control Engineers 57, no. 2 (2021): 86–91. http://dx.doi.org/10.9746/sicetr.57.86.

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23

Chew, M. Y. L., S. S. Tan, and K. H. Kang. "Contribution Analysis of Maintainability Factors For Cladding Facades." Architectural Science Review 48, no. 3 (September 2005): 215–27. http://dx.doi.org/10.3763/asre.2005.4828.

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24

Knif, Johan, James W. Kolari, Gregory Koutmos, and Seppo Pynnönen. "Measuring the relative return contribution of risk factors." Journal of Asset Management 20, no. 4 (May 8, 2019): 263–72. http://dx.doi.org/10.1057/s41260-019-00121-9.

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25

Von Kanel, R., BM Kudielka, and JE Fischer. "The contribution of psychosocial factors to allostatic load." Journal of Psychosomatic Research 55, no. 2 (August 2003): 123. http://dx.doi.org/10.1016/s0022-3999(03)00454-9.

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26

Wu, Naicheng, Qinghua Cai, and Nicola Fohrer. "Contribution of microspatial factors to benthic diatom communities." Hydrobiologia 732, no. 1 (March 7, 2014): 49–60. http://dx.doi.org/10.1007/s10750-014-1843-3.

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27

Niu, D.-M. "Contribution of genetic factors to neonatal transient hypothyroidism." Archives of Disease in Childhood - Fetal and Neonatal Edition 90, no. 1 (January 1, 2005): F69—F72. http://dx.doi.org/10.1136/adc.2003.039065.

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28

Kurniawan, Wahyu, Daharnis Daharnis, and Yeni Karneli. "Contribution of Adversity Quotient, Self Awareness and Demographic Factors to Student Career Maturity." International Journal of Research in Counseling and Education 4, no. 1 (April 13, 2020): 70. http://dx.doi.org/10.24036/00261za0002.

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One of the purposes of vocational school (SMK) is as an education facility to prepare alumni who are ready to enter work field, but in contrary the highest number of unemployed in West Sumatra is dominated by SMK alumni. This research aims to describe the contribution of adversity quotient, self awareness and demographic factors to student career maturity. The study was conducted using quantitative descriptive methods. The research population were students of class XII at SMKN6 Padang as many as 392 students and a sample of research were 198 students. The technique used in this research waspurposive sampling technique. The instrument used was a adversity quotient, self awareness and career maturity scale was using Likert model, and the research data was analyzed using simple regression and multiple regression with dummy variables. The research findings prove that: (1) adversity quotient has an effective contribution of 23% to student career maturity, (2) self awareness contributing as much as 37.9% to career maturity, (3) gender does not contribute to career maturity,(4) socioeconomic status contributes 4.9% to student career maturity, and (6) there were 47.8% of contributions together with adversity quotient, self awareness, gender and socioeconomic status on students' career maturity. This result show that student’s career maturity was not influenced by one variable only but adversity quotient, self awareness and demographic factor all together contribute in forming student’s career maturity. Therefore, increase in career maturity as an attempt to prepare students prior to entering work field could be done by optimizing adversity quotient level and self awareness while also considering demographic factor of each students.

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O'toole, Brian I., Richard P. Marshall, Ralph J. Schureck, and Matthew Dobson. "Risk Factors for Posttraumatic Stress Disorder in Australian Vietnam Veterans." Australian & New Zealand Journal of Psychiatry 32, no. 1 (February 1998): 21–31. http://dx.doi.org/10.3109/00048679809062702.

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Objective: The aims of this paper are to determine the risk factors for combat-related posttraumatic stress disorder (PTSD) and to examine the relative contribution of pre-military factors, pre-trauma psychiatric diagnoses, military factors such as combat posting, and combat and casualty stress exposure. Method: An epidemiological cohort study using standardised psychiatric, social and health interviews was undertaken with a national random sample of male Australian Army Vietnam veterans. Multivariate logistic regression was used to examine the relative contribution of factors derived from interview and from military records in four categories: pre-enlistment circumstances including home life, education, major life stress; pre-Vietnam psychiatric diagnoses; military experiences before and during Vietnam; and combat and stress experiences. Results: Of the 128 data items examined, significant associations were found for 39, in addition to combat stress. Pre-enlistment items accounted for about 3% of the deviance towards PTSD diagnosis, pre-enlistment psychiatric diagnosis about 13%, military variables about 7% and combat stress about 18%; all factors together accounted for 42%. Conclusions: The results confirm that pre-military and military variables make only a small but significant contribution to PTSD either alone or after controlling for combat stress; that psychiatric diagnoses of depression, dysthymia and agoraphobia make strong contributions to PTSD; but that combat stress makes the largest contribution even after controlling for the effects of other variables. Psychiatric diagnoses and combat stress appear to be independent in their effects on PTSD.

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30

Lee, Jeon Lo. "A Comparison of Genetic versus Non-Genetic Contribution of Serotonin to Suicide." Science Insights 43, no. 1 (July 31, 2023): 995–1002. http://dx.doi.org/10.15354/si.23.re611.

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Suicide is a complex and multifaceted public health issue that has been intensively studied to identify its contributing factors. Serotonin, a neurotransmitter essential for affective regulation and mood control, has been linked to suicidal propensity. Understanding the relative contribution of serotonin’s genetic versus non-genetic influences is essential for the development of effective preventive measures, given that the etiology of suicide involves both genetic and non-genetic factors. This review seeks to compare the influence of genetic and non-genetic factors on the association between serotonin and suicide risk. Examining serotonin-related gene polymorphisms, with a focus on the serotonin transporter gene, the serotonin receptor 1A, and the serotonin receptor 2A, genetic contributions are investigated. This review emphasizes the complex interplay between genetic and non-genetic contributions to serotonin’s role in suicide by synthesizing existing literature. Understanding these complex interactions can provide a comprehensive framework for targeted interventions and individualized methods of suicide prevention and mental health promotion. Future research should incorporate large-scale genetic studies, genetic and non-genetic interaction analyses, and longitudinal designs in order to further elucidate the complex relationship between serotonin and suicide risk.

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31

Othman, Mohammad Khairuddin, Noorul Shaiful Fitri Abdul Rahman, and Mohd Naim Fadzil. "Determining the contribution of distraction factors on Malaysian seafarers using a systematic average mean value." Maritime Business Review 2, no. 2 (June 15, 2017): 99–113. http://dx.doi.org/10.1108/mabr-01-2017-0004.

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Purpose The purpose of this study is to determine the distraction factors based on their contributions in affecting seafarers’ physical and psychological well-being. Design/methodology/approach A systematic average mean value technique incorporated with quantitative data collection is applied to determine the contributions of the involved factors in establishing the distraction problems among seafarers. Findings Element of “Food and nutrition” is recorded as the highest contributing factor to Malaysian seafarers, for deck and engine department, respectively, in establishing the distraction-related problem among five other factors involved. Research limitations/implications This paper is only providing a scope of knowledge regarding the contribution of potential distraction factors existing on board the offshore ships. However, the potential distraction factors and their contributions, respectively, are very dynamic and may vary, depending on the situation of a particular area and who are being involved. Practical implications The result assists the shipping industry in recognizing the actual causes of the occurrences of marine casualties and incidents related to human factors. Social implications The benefits are addressed to seafarers’ community where their well-being and work performances could be enhanced, thus reducing the occurrences of marine casualties and incidents. Local community at the shores also will be less threatened by marine pollution caused by the accidents of ships at sea. Originality/value The result provides a scope of knowledge regarding distraction-related factors in shipboard operation and also the introduction to a systematic assessment approach to determine and rank the parameters by using the systematic average mean value technique which is also a straightforward method and can be applied in any other circumstances.

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S., Elakkiya,. "Contributing Factors for the Empowerment of Women in Tamil Nadu – A Critical Analysis." Indian Research Journal of Extension Education 22, no. 3 (July 1, 2022): 150–54. http://dx.doi.org/10.54986/irjee/2022/jul_sep/150-154.

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The study focused to assess the contributing factors i.e. association and contribution of socio economic characteristics with empowerment of Pudu Vazhvu project women members. The study carried out in Namakkal district because it is one of the districts in Tamil Nadu where Pudu Vazhvu project was implemented. A sample of 132 respondents were selected from two blocks (six villages) by using Proportionate Random Sampling technique. Correlation and Multiple Regression analysis were used to draw meaningful interpretation by using IBM SPSS software. The results inferred that occupational status (X3), leadership abilities (X10) had positive signifi cant association with empowerment at fi ve per cent level of probability. Information sharing behaviour (X14) had signifi cant contribution at one per cent level of probability. Age (X1) had signifi cant contribution at one per cent level of probability but the contribution was negative. The results inferred that a unit increase in occupational status, leadership abilities, and information sharing behaviour would result in 1.692, 0.654 and 1.765 units increase in the level of participation respectively. A unit increase in age will decrease in the level of participation by 0.378 unit.

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Mulenga, Sunday. "Evaluation of Factors Influencing Rock fragmentation by Blasting using Interrelations Diagram Method." Journal of Physical Sciences 2, no. 1 (March 19, 2020): 1–15. http://dx.doi.org/10.47941/jps.382.

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Purpose: The purpose of this study is to develop an interrelations diagram for the factors affecting rock fragmentation by blasting and to determine their theoretical percentage contribution to rock fragmentation by blastingMethodology: In order to develop an interrelations diagram for factors affecting rock fragmentation by blasting, first, factors that affect rock fragmentation by blasting were identified through literature review. Secondly, uncontrollable factors whose influencing factors are difficult to pin point where group into three major categories of hardness factor, joints and in-situ block size. Thirdly, the cause and effect relationship between al factors affecting rock fragmentation were identified. The factors affecting rock fragmentation by blasting were then arranged in an orderly fashion and the arrows indicating the direction of influence were drawn among them. The arrows entering and leaving each factor were counted and count value for each factor was used to calculate the theoretical percentage contribution for each factor.Findings: Based on the Interrelations Diagram method, the top four influential controllable parameters towards rock fragmentation are Burden with 12%, Blasthole diameter with 9%, Powder factor with 7% and Delay timing with 7%. The most influential uncontrollable parameter towards rock fragmentation is Hardness Factor with 4%. It was further revealed that Controllable factors are more influential toward rock fragmentation by blasting than uncontrollable factors. This can be seen from the cumulative percentage contribution of 90% for controllable factors compared to cumulative percentage contribution of 10% for uncontrollable factors.Unique contribution to theory, practice and policy: Application of the interrelation diagram gives insight on how factors affecting rock fragmentation by blasting are generally interrelated and identifies the theoretical percentage contributions of factor towards influencing rock fragmentation by blasting

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Song, Yang, Tian Liang, Linbo Zhang, Chaozhi Hao, and Hao Wang. "Spatio-Temporal Changes and Contribution of Human and Meteorological Factors to Grassland Net Primary Productivity in the Three-Rivers Headwater Region from 2000 to 2019." Atmosphere 14, no. 2 (January 30, 2023): 278. http://dx.doi.org/10.3390/atmos14020278.

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Since the beginning of the 21st century, the net primary productivity (NPP) of grassland in the Three-Rivers Headwaters (TRH) region has changed significantly. In this study, NPP was assessed by the Carnegie-Ames-Stanford approach (CASA) model in TRH from 2000 to 2019. The abrupt changes of NPP and meteorological factors were analyzed by cumulative departure, MK test, and Pettitt test. The contributions of meteorological and human factors to changes in grassland NPP were quantitatively assessed using the scenario simulation method. The obtained results showed that: (1) From 2000 to 2019, the NPP of grasslands increased from 135.72 to 141.16 gC/m−2a−1. However, the overall growth trend was not significant, and the proportion of significant growth was only 31.45%; (2) An abrupt increase in meteorological factors occurred around 2005, while an abrupt increase in NPP occurred around 2008, which showed that 2008 was the year when human factors, such as ecological projects and policies, began to show a significant impact on the growth of NPP; and (3) The contribution of human factors to the abrupt increase in NPP was significantly greater than the contribution of meteorological factors. The contribution of human factors exceeded 70% in 93.68% of the studied area, reaching 98% in general, while the contribution of meteorological factors was less than 2%. Among them, the human contributions to the Yangtze River Source, the Yellow River Source, and the Lancang River Source all exceeded 95%. The negative effects of meteorological factors on the growth of NPP in the abovementioned three regions were as high as 47.35%, 48.66%, and 36.91%, respectively. Human factors have contributed greatly to the increase in NPP in most of the source areas of the Yellow River, the eastern part of Tanggulashan County, the southeastern part of Zhiduo County, and the western part of Zaduo County at the source of the Yangtze River.

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35

Ghasemi Nejad, R., R. Ali Abbaspour, and A. Chehreghan. "ASSESSING THE RELIABILITY OF CONTRIBUTORS IN VGI USING IMPLICIT FACTORS." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-4/W1-2022 (January 13, 2023): 215–20. http://dx.doi.org/10.5194/isprs-annals-x-4-w1-2022-215-2023.

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Abstract. VGI projects include geographic information, which are the product of many unorganized volunteers, making it a challenge to ensure the quality of their information. In this field of study, several researchers have suggested using intrinsic factors to evaluate the quality of VGI instead of using explicit methods such as comparing with real or reference datasets. In addition, the measurement of the reliability of VGI contributors as an essential intrinsic factor in determining the credibility of their contributions remains an open question. Various types of contributors’ activities and interactions are introduced and discussed in detail in this study at first. Then a comprehensive spatio-temporal contributor reliability model is proposed to assess their performance based on multiple implicit interactions between volunteers in their contribution process. Finally, several cities with different contribution rate (based on their population, number of users and area extent) are chosen and the proposed model is applied to the VGI data of selected regions, finally the results are compared and discussed.

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36

van Hout, Roeland, Jan H. Hulstijn, and Guust Meijers. "Individuele Verschillen in Het Leren Van Talen." Leerderskenmerken 37 (January 1, 1990): 5–14. http://dx.doi.org/10.1075/ttwia.37.01hou.

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This contribution gives a global introduction into recent developments in theory and research on individual differences in language learning. It attempts to outline a more general framework for the contributions in this volume on learner differences. The following five questions are focused upon: (A) What kind of theoretical developments can be noticed and which mutual relationships exist between different theoretical models? (B) Which links with other fields of research into differences in human (learning) behaviour can be established? (C) What is the contribution of the factors aptitude and social class in relation to the contribution of factors which can be influenced or manipulated in the school context? (D) How important is the recent interest in cognitive and metacognitive factors and learner and learning strategies? (E) Which important methodological developments can be observed?

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37

Hu, Feng, Leying Zhang, Qiao Liu, and Dorina Chyi. "Environmental Factors Controlling the Precipitation in California." Atmosphere 12, no. 8 (August 2, 2021): 997. http://dx.doi.org/10.3390/atmos12080997.

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Using observational data covering 1948–2020, the environmental factors controlling the winter precipitation in California were investigated. Empirical orthogonal function (EOF) analysis was applied to identify the dominant climate regimes contributing to the precipitation. The first EOF mode described a consistent change, with 70.1% variance contribution, and the second mode exhibited a south–east dipole change, with 11.7% contribution. For EOF1, the relationship was positive between PC1(principal component) and SST (sea surface temperature) in the central Pacific Ocean, while it was negative with SST in the southeast Indian Ocean. The Pacific–North America mode, induced by the positive SST and precipitation in the central Pacific Ocean, leads to California being occupied by southwesterlies, which would transport warm and wet flow from the ocean, beneficial for precipitation. As for the negative relationship, California is controlled by biotrophically high pressure, representing part of the Rossby wave train induced by the positive SST in the Indian ocean, which is unfavorable for the precipitation. For EOF2, California is controlled by positive vorticity at the upper level, whereas at the lower level, there is positive vorticity to the south and negative vorticity to the north, the combination of which leads to the dipole mode change in the precipitation.

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38

Flores, Lisa Y., S. Craig Rooney, P. Paul Heppner, LaVonne Douglas Browne, and Mei-Fen Wei. "Trend Analyses of Major Contributions in The Counseling Psychologist Cited from 1986 to 1996." Counseling Psychologist 27, no. 1 (January 1999): 73–95. http://dx.doi.org/10.1177/0011000099271006.

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This study commemorates the 30th anniversary of The Counseling Psychologist (TCP), the official publication of Division 17 since 1969. The investigation analyzes trends in the professional citations of the Major Contribution articles from the inception of TCP in 1969 through 1995. Results indicate (a) the impact factors and citation half-life statistics for Major Contribution articles for the years 1986 to 1996, (b) that citations of Major Contributions have increased over the past 11 years, (c) that Major Contribution articles are cited across a diverse range of disciplines, (d) that the number of Major Contribution articles in an issue is negatively related to the average number of citations for an issue, (e) the top 10 most frequently cited Major Contribution articles, (f) the percentages of Major Contributions published by men and women, and (g) emerging topic areas from citations of Major Contributions published from 1991 to 1995. Implications of the results are discussed with regard to professional issues, TCP, and future research.

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39

Tindan, Thomas N., Moses A. Abukari, Victor Antwi, Philip Dorsah, and Dennis Offei Kwakye. "Contribution of Intrinsic and Extrinsic Factors to Teacher Motivation." International Education Studies and Sustainability 2, no. 2 (October 6, 2022): p19. http://dx.doi.org/10.22158/iess.v2n2p19.

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Teachers feel their work is becoming increasingly stressful and their status is falling leading to less job satisfaction with a concomitant loss in motivation. This study sought to find out in quantitative terms, the amount of motivation that the intrinsic and extrinsic socio-economic factors make to teacher motivation. The research design employed for this research is quasi-experimental. Two thousand and ninety-eight (2,098) teachers were selected from the Upper East Region of Ghana. Both quantitative and qualitative data was collected. The results showed that intrinsic and extrinsic socio-economic factors do motivate teachers in the execution of their work. However, not a strong association exist between teacher motivation and the intrinsic and extrinsic socio-economic variables. Not much of teacher motivation depends on socio-economic factors. Per the findings of the study, the association between the degree of motivation that teachers receive from the intrinsic and extrinsic socio-economic factors, M€, and the percentage of respondents that claim they are motivated by the factors, f€, could be represented by the polynomial relation, M€ = µ3(f€)3 - µ2(f€)2 + µ1(f€) - µ0. Intrinsic and extrinsic (socio-economic) factors cannot sustain the motivation of teachers permanently, even though the lack of them will lead to demotivation of teachers.

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40

Gkofa, Panagiota. "Greek Roma’s educational success: the contribution of community factors." Intercultural Education 33, no. 1 (January 2, 2022): 1–16. http://dx.doi.org/10.1080/14675986.2021.2017642.

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41

Lozynska, M., N. Prokopchuk, M. Mikula, Ja Korinets, and O. Olexiuk. "Contribution of different etiology factors in fading pregnancy occurrence." Acta Medica Leopoliensia 24, no. 4 (2018): 18–23. http://dx.doi.org/10.25040/aml2018.04.018.

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42

Van Doren, Terry D., Dana L. Hoag, and Thomas G. Field. "Political and Economic Factors Affecting Agricultural PAC Contribution Strategies." American Journal of Agricultural Economics 81, no. 2 (May 1999): 397–407. http://dx.doi.org/10.2307/1244590.

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43

Matsuo, Minoru, and Takaharu Shogaki. "Experimental Study on Contribution of Various Factors Influencing q." Soils and Foundations 26, no. 2 (June 1986): 121–32. http://dx.doi.org/10.3208/sandf1972.26.2_121.

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44

Shi, Peijun, Yanqiang Chen, Anyu Zhang, Yan He, Miaoni Gao, Jing Yang, Rui Mao, et al. "Factors contribution to oxygen concentration in Qinghai-Tibetan Plateau." Chinese Science Bulletin 64, no. 7 (November 21, 2018): 715–24. http://dx.doi.org/10.1360/n972018-00655.

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45

Karasik, D., and S. L. Ferrari. "Contribution of Gender-Specific Genetic Factors to Osteoporosis Risk." Annals of Human Genetics 72, no. 5 (September 2008): 696–714. http://dx.doi.org/10.1111/j.1469-1809.2008.00447.x.

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46

Christillin, P., and G. Dillon. "Pionic contribution to the N- Delta transition form factors." Journal of Physics G: Nuclear and Particle Physics 18, no. 12 (December 1, 1992): 1915–21. http://dx.doi.org/10.1088/0954-3899/18/12/007.

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47

Wu, Song, Scott Powers, Wei Zhu, and Yusuf A. Hannun. "Substantial contribution of extrinsic risk factors to cancer development." Nature 529, no. 7584 (December 16, 2015): 43–47. http://dx.doi.org/10.1038/nature16166.

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48

Norris, Beverley, and John R. Wilson. "Preventing drowning through design – the contribution of human factors." Injury Control and Safety Promotion 10, no. 4 (December 2003): 217–26. http://dx.doi.org/10.1076/icsp.10.4.217.16771.

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49

Mori, Hideki, Akiyoshi Oda, Chikara Ito, Tsutomu Aragaki, and Fang Zhi Liu. "Thermodynamic factors derived from group contribution activity coefficient models." JOURNAL OF CHEMICAL ENGINEERING OF JAPAN 29, no. 2 (1996): 396–98. http://dx.doi.org/10.1252/jcej.29.396.

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50

Marmot, Michael G., Rebecca Fuhrer, Susan L. Ettner, Nadine F. Marks, Larry L. Bumpass, and Carol D. Ryff. "Contribution of Psychosocial Factors to Socioeconomic Differences in Health." Milbank Quarterly 76, no. 3 (September 1998): 403–48. http://dx.doi.org/10.1111/1468-0009.00097.

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