Significant Influencing Factors Research Articles

Statistical analysis of mental influencing factors for anxiety and depression of rural and urban freshmen.

The freshmen stage is a high incidence period for psychological issues. With the increasing gap between urban and rural areas in China, the mental problems of rural freshmen are more prominent in recent years due to the huge contrast of campus life with their growth environment and other reasons. The concern for the mental well-being of both rural and urban freshman students prompted our comprehensive five-year study (2018-2022) on psychological issues in a group of 12,564 first-year students from dozens of public universities in Shandong province. The investigation employed PPS (probability proportional to size) sampling and was conducted near the the end of the first semester. Using the data gathered, we analyzed and compared the indicators of psychological problems in rural and urban freshmen by Duncan's Multiple Range Test. We also conducted a canonical correlation analysis and pathway analysis to examine the psychological factors that contribute to anxiety and depression in both rural and urban freshmen. According to the findings, rural freshmen exhibit significantly higher levels of anxiety and depression than their urban counterparts. Inferiority, obsession, and internet addiction were identified as the primary influencing factors of anxiety and depression in both rural and urban freshmen. Social phobia was found to be a significant influencing factor for anxiety in rural freshmen, while bigotry was identified as a specific influencing factor for urban freshmen. Furthermore, the results of the path analysis suggest that anxiety plays a crucial role as a mediating factor between the main influencing factors and depression. These results substantially extend former research in this area and have important implications for the development of effective intervention strategies to address anxiety and depression. According to these results, policymakers should assess and intervene of anxiety and depression as a whole, and provide mental health education according to main effect factors of freshmen from rural and urban areas. Detailed policy recommendations are in discussion and conclusion.

FACTORS INFLUENCING THE STUDENTS’ SPEAKING ABILITY

This research was carried out through Quantitative research particularly survey method. The survey aims at examining the factors that influence the students’ speaking ability, to know the most significant factor that affects the students’ speaking ability, and to describe how the factors influence the students’ speaking ability in English Intensive Language Program UIN SYAHADA Padangsidimpuan. The findings were presented in mix method analysis, both qualitatively and quantitatively. The instrument used to collect the data was questionnaire. The questionnaires were analyzed particularly by using multiple linear regression and further analysis, ANOVA, was used to determine the significant factor while questions 3 used descriptive technique. The results show that the 1. factors that influence the students’ speaking ability are students’ factors, campus environmental factor and parental involvement, 2. the most significant influencing factor on students’ speaking ability is campus environmental which is 52%. It is evident from the ANOVA results that the model reached statistical significance [F (3, 112) =18.912, Adjusted R2=.516, sig. <.05], and 3. Campus environmental greatly influences the students’ speaking ability which include the materials, the interactions, and the learning methods.

A study on human errors of air traffic controllers based on HFACS-AHP

Safety is the lifeline of civil aviation. With the advancement of technology, human factors have become the primary factor affecting aviation safety. Among these, human errors in air traffic control (ATC) account for a significant proportion of aviation accidents. In order to investigate human errors in ATC, this paper introduces two common human factors conceptual models – the Reason model and the HFACS model, and analyzes the specific application of the HFACS model in aviation. It is found that the HFACS model can effectively establish a classification system for human errors in ATC. Moreover, this paper combines the HFACS model with AHP (Analytic Hierarchy Process) and uses the HFACS model to establish a first and second level indicator system for human errors in ATC. We calculated the weights of each specific factor using the Analytic Hierarchy Process. The results show that the most significant influencing factor in the first level indicators is organizational factors, while the most significant influencing factor in the second level indicators is Air Traffic Resource Management. Among the 13 second level indicators, the smallest weight is the controller’s violation. Based on the calculated weight results, in order to improve the safety level of ATC, the first step should be to improve the level of ATC organizational management. This is also of great significance for improving the safety level of the entire aviation system. The findings of this study suggest that the HFACS model, combined with AHP, can be an effective tool for identifying and analyzing human factors in ATC and ultimately improving the safety of the aviation industry.

Loan default predictability with explainable machine learning

This paper studies loan defaults with data disclosed by a lending institution. We comprehensively compare the prediction performance of nine commonly used machine learning models and find that the random forest model has an efficient and stable prediction ability. Then, we apply an explainable machine learning method, i.e., SHapley Additive exPlanations (SHAP), to analyze the important factors affecting loan defaults. Moreover, we conduct an empirical study and find that the significant influencing factors are clearly consistent with those suggested by SHAP: the older the lender and the longer their working experience, the lower the risk of loan default.

The Impact of Educational Development on Economic Growth: Evidence from Different Regions of China

Education development has always been a significant influencing factor in fostering a strong economy. The level of education development greatly impacts a nation's quantity of skilled individuals, technological and military advancements, and industrial growth, among other factors. A robust education level and abundant educational resources can promote and stabilize a country's overall economic progress. This article takes China as a primary example, conducting a specific comparative analysis between the education development levels and the richness of educational resources in the northwestern and eastern regions of China. Furthermore, from an educational perspective within the context of education development, the article explores how education influences the current state of economic development in the region. Simultaneously, it deduces that there exists a proportional relationship between the degree of education development and economic advancement and concludes that education's impact on the economy is both long-term and positive.

Factors influencing dominant eye selection in refractive surgery patients: A correlation analysis

ObjectiveThis study aims to reveal the factors influencing the selection of the dominant eye in refractive surgery patients, and enhance the accuracy of clinical evaluation and surgical treatment. MethodsA retrospective study method was employed. The ocular biometric parameters were analyzed in 4,114 patients who underwent refractive surgery at the affiliated hospital of Southwest Medical University from 2019 to 2023. ResultsThe study found that 79.07% of the patients had the right eye as the dominant eye, while 20.93% had the left eye. Although there was no significant difference between the dominant and non-dominant eyes in terms of uncorrected visual acuity and Kappa angle, the dominant eye performed better in aspects such as spherical lens, eye axis, and corneal flat curvature. Furthermore, univariate and multivariate logistic regression results showed that best-corrected visual acuity, pupil diameter, horizontal displacement x-value of the Kappa angle, and astigmatism vector J45 were significant influencing factors for the selection of the dominant eye. ConclusionThere are numerous factors affecting the dominant eye, and the most important core factor is J45. This study comprehensively evaluated the possible factors affecting the dominant eye in patients undergoing refractive surgery, which provides a foundation for the designation of refractive surgical modalities and assurance of surgical outcomes, and opens up new perspectives on understanding the mechanisms of the formation and development of the dominant eye.

Administrative and legal factors influencing the formation of sustainable development of the region in a changing external environment

In the modern context of global changes, the study of the influence of administrative and legal factors on the sustainable development of regions is of particular relevance, which is also due to the hyperdynamics of the external environment. The main purpose of the article is to identify and streamline the main administrative and legal factors influencing the formation of sustainable development of the region in a changing external environment. Key research methods are the method of hierarchical analysis, paired comparison, expert analysis and the Delphi method. A scientific question has been formulated based on the results of a literature review, which is how to more effectively implement administrative and legal support for the formation of sustainable development of the region. Valid methods are disclosed due to their step-by-step application. An analysis of the dynamics of key indicators of sustainable development of one of the regions was carried out. A modern model for the formation of sustainable development of the region is proposed, considering the conditions of the changing external environment and focusing on administrative and legal principles, which is characterized by blocks and a schematic explanation. A methodological approach to modelling the definition and ordering of the main administrative and legal factors influencing the formation of sustainable development of the egion in a changing external environment has been developed. Based on the results of the modelling, it was determined that the most significant factors of influence within the framework of administrative and legal support for the formation of sustainable development of the Lviv region in a changing external environment are martial law, administrative court proceeding and local self-government and decentralization. The effectiveness of the proposed method has been proven through the ability to satisfy all information needs of subjects of sustainable development in the region. The practical significance of the research results is revealed in the possibility of using the proposed model and methodological approach in the work of public services and the public administration system of the region

Relationship between Fatigue, Sleep, Subjective Health Status, and Job Involvement in Shift-working Production Workers

Objectives: The purpose of this study was to examine of fatigue, sleep quality, and perceived health for shift workers and to identify variables that influence job involvement in order to develop an intervention program for shift workers to enhance their job involvement.Methods: Data was collected from 124 workers who worked in 3 manufacturing companies with more than 300 manufacturing companies in G-city. Data were analyzed using t-test, ANOVA, Pearson’s correlation and multiple regression analysis with SPSS statistics 27.0 program.Results: Job involvement is related to perceived health was found to have a significant positive correlation and fatigue have a significant negative correlation. Factors affecting job involvement were found to be a significant influencing factor on perceived health. It showed an explanatory power of 32.1%.Conclusions: Therefore, it is necessary to develop and verify job involvement improvement programs that take into account various variables to promote the job involvement of shift workers.

Satellite constellation method for ground targeting optimized with K-means clustering and genetic algorithm

This study proposed a satellite constellation method to cluster targets using machine learning and achieve the desired revisit performance for each target in an area of interest. Because a typical satellite constellation, such as the Walker method, does not consider the geometrical dynamics between the satellite and Earth's surface target, the target-oriented revisit performance analysis and the application of optimization method are limited. To overcome these limitations, this study developed a satellite constellation method that is customized according to the target using a repeating ground track orbit and machine learning techniques. The proposed model groups aim to maximize satellite revisit performance via K-means clustering and determine the optimal number of satellites required to achieve the desired revisit performance for each target through a quick and accurate accessibility analysis of various target distributions. This study revealed that three to five target clusters are more effective in improving the satellite revisit performance than a typical single target cluster, while identifying that the density of the target distribution is a significant influencing factor. Finally, the proposed model achieved the desired revisit performance, guaranteeing a timely response for 30 major disaster locations in East Asia and validating the model's optimal performance.

Regional Heterogeneity Analysis of Residential Electricity Consumption in Chinese Cities: Based on Spatial Measurement Models

The share of electricity consumption by urban and rural residents in China’s overall electricity consumption is very close to that of the tertiary sector, which has become an important driver of China’s electricity consumption growth. At the same time, due to the mismatch between China’s regional resource endowments and the level of regional development, the regional supply and demand situation for electricity varies. Therefore, it is urgent to clarify the regional differences in residential electricity consumption and the factors affecting it, and accordingly adopt targeted and feasible measures to regulate residential electricity consumption. This article includes data from 285 Chinese prefecture-level cities from 2006 to 2019, and adopts a “three lines” method of region-partitioning (Qinling–Huaihe line, Huhuanyong line, and Shanhaiguan line) to divide four regions. We used spatial econometric models to examine residential electricity consumption and its influencing factors in China from the standpoint of regional heterogeneity. The results show that there is significant regional heterogeneity in residential electricity consumption in China, and the difference between the north of the Shanhaiguan line and other areas is significant. Moreover, there is a positive spatial correlation in the per capita domestic electricity consumption of urban residents, and each influencing factor has obvious regional heterogeneity, among which household appliances are the significant influencing factor. Based on the regional heterogeneity of residential electricity consumption, management measures should be formulated according to local conditions, and the supply of electricity should be ensured by strengthening multidimensional initiatives.

Analysis of Effectiveness of Cut Size Line Machines Based on Total Productive Maintenance (TPM) and Analytical Hierarchy Process (AHP) - A Case Study

This research aims to analyze the implementation of Total Productive Maintenance (TPM) using Overall Equipment Effectiveness (OEE) and Analytical Hierarchy Process (AHP) approaches to increase the OEE value on cut-size line machines in the finishing department in PT. X. The research methodology was carried out by calculating OEE and significant loss values, analyzing Pareto and Fishbone diagrams, and using the AHP as a decision-making method. Then, the recommendations for implementing focused and autonomous maintenance in the case study company. The research results revealed that the significant influencing factor for the OEE value was engine speed, which causes performance efficiency to decrease so that the OEE value also decreases. The OEE value in 2021 is 74%. The improvement plan by applying the TPM and AHP methods will be expected to increase the performance efficiency of the machine via OEE value from 74% in 2021 to 79% for the coming year 2023/2024.

Investigation on the effect of hydrothermal reaction with CuSO4 on rheological property of heavy oil

Rheological property is an important parameters in the evaluation of heavy oil and asphalt. This work studied the effect of hydrothermal reactions with CuSO4 on the rheological property. The hydrothermal reactions are used to improve the fluidity of oil and transition metal inorganic salts act as catalysts. However, when the CuSO4 concentration surpasses a certain value, the fluidity of heavy oil undergoes rapid deterioration, similar to the effect of asphalt modification. Consequently, we proposed a method modifying asphalt by hydrothermal reaction with CuSO4. Analysis of the viscoelastic results suggested that the most significant influence factors were CuSO4 concentration and reaction temperature. The presence of water is also essential. Further analysis indicated that the entry of Cu atoms into heavy oil molecules was the fundamental cause of the deterioration of rheological properties. These findings demonstrate that the hydrothermal reaction with CuSO4 can be used for asphalt modification, and the resulting product’s properties can be adjusted by manipulating reaction conditions. Furthermore, chemical reactions can lead to permanent changes that are not susceptible to separation of modifiers.

The Social Contagion Potential of Pro-Vaccine Messages on Black Twitter

ABSTRACT Black Americans in the US not only suffered from disproportionately high hospitalization and death rates throughout the pandemic but also from the consequences of low COVID-19 vaccination rates. This pattern of disparity is linked to distrust of public health systems that originates from a history of medical atrocities committed against Black people. For that reason, mitigation of race-based inequity in COVID-19 impacts might find more success in grassroots information contagion than official public health campaigns. While Black Twitter is well-positioned as a conduit for such information contagion, little is known about message characteristics that would afford it. Here, we tested the impact of four different message frames (personalization, interactive, fear appeal, neutral) on the social contagion potential of bi-modal social media messages promoting COVID-19 vaccinations and finding personalized messages to be the most shareable. Wary of recommending personalization as the blueprint for setting a social contagion health campaign in motion, we probed further to understand the influence of individual-level variables on the communicability of personalized messages. Subsequently, regression models and focus group data were consulted, revealing that thinking styles, vaccine confidence levels, and attitudes toward social media were significant factors of influence on the contagion potential of personalized messages. We discussed the implications of these results for health campaigns.

Quantification of differential axial shortening in reinforced concrete and concrete-filled steel-tube-based building structures

ABSTRACT This paper compares the axial shortening behaviors of reinforced concrete (RC) and concrete-filled tube (CFT) columns in high-rise building structures and proposes a relationship between the differential axial shortening and the dead load portion. This relationship can be used to determine the initial column sections in the preliminary design of building structures. Factors that can influence the differential axial shortening in columns were considered, and numerical analyses were conducted to compare the relative effectiveness of CFT columns. The time-dependent deformation of concrete was found to be the most significant influencing factor when compared with the flattening process of each floor level and construction sequence analysis. However, parametric studies demonstrate that axial shortening behavior can be ignored in buildings of fewer than 20 floors, and that it has a negligible effect even in taller buildings. Notably, the differential axial shortening effect can be excluded in the preliminary design stage when the dead load portion is less than 30% of the ultimate axial resistance. In the absence of design standards recommendations for reference values to minimize serviceability or damage problems in building structures, the proposed relation between the differential axial shortening and the dead load portion can be effectively used to determine initial column sections in the preliminary design of building structures.

Application of a count regression model to identify the risk factors of under-five child morbidity in Bangladesh.

Bangladesh has seen a significant decline in child mortality in recent decades, but morbidity among children <5y of age remains high. The aim of this analysis was to examine trends and identify risk factors related to child morbidity in Bangladesh. This analysis is based on data from four successive cross-sectional Bangladesh Demographic and Health Surveys for the years 2007, 2011, 2014 and 2017-18. Several count regression models were fitted and the best model was used to identify risk factors associated with morbidity in children <5y of age. According to the results of the trend analysis, the prevalence of non-symptomatic children increased and the prevalence of fever, diarrhoea and acute respiratory infections (ARIs) decreased over the years. The Vuong's non-nested test indicated that Poisson regression could be used as the best model. From the results of the Poisson regression model, child age, sex, underweight, wasted, stunting, maternal education, wealth status, religion and region were the important determinants associated with the risk of child morbidity. The risk was considerably higher among women with a primary education compared with women with a secondary or greater education in Bangladesh. This analysis concluded that child morbidity is still a major public health problem for Bangladesh. Thus it is important to take the necessary measures to reduce child morbidity (particularly fever, diarrhoea and ARI) by improving significant influencing factors.

Factors Influencing the Indeterminate Results in a T-SPOT.TB test: A Matched Case-control Study.

Objective A T-SPOT.TB can yield indeterminate results under two test observation conditions: a high response to the nil in negative control wells (high nil-control) or a low response to the mitogen in positive control wells (low mitogen-control). The most strongly influential factors for these indeterminate results, however, have yet to be identified. Methods From June 1, 2015, to June 30, 2021, we conducted a 1:1 matched case-control, retrospective study. Patients Patients who underwent a T-SPOT.TB test at Chiba University Hospital. Results The study included 5,956 participants. Indeterminate results were found in 63 participants (1.1%), including high nil-control in 37 and low mitogen-control in 26. Human T-cell leukemia virus type 1 (HTLV-1) positivity was the only influencing factor associated with high nil-control (adjusted odds ratio=98.5, 95% confidence interval: 6.59-1480). Conclusion Regarding the indeterminate results, all HTLV-1 positive participants had a high nil response and no low mitogen response. It was suspected that abnormally produced interferon γ caused a nonspecific reaction to the negative control well, resulting in a high nil response. Low mitogen-control, conversely, did not appear to have any statistically significant influential factors.

Assessing perceived participation among older adults total hip arthroplasty and total knee arthroplasty patients six months post-surgery: a cross-sectional study.

This research sought to assess the perceived levels of participation and autonomy in senior patients who had received total hip arthroplasty (THA) or total knee arthroplasty (TKA) in Hangzhou, China. Furthermore, the study aimed to identify the factors linked to these outcomes. This investigation will utilize a cross-sectional study design to assess perceived participation and autonomy among older adults total hip arthroplasty (THA) and total knee arthroplasty (TKA) patients. The research was conducted in Hangzhou, China, at a tertiary hospital. Convenient sampling was utilized to select 139 patients who underwent THA or TKA between March 2022 and March 2023 and met the inclusion criteria at a tertiary hospital in Hangzhou. The Impact on Participation and Autonomy Questionnaire, Hip/Knee Injury and Osteoarthritis Outcome Score (HOOS/KOOS), 5-Item Geriatric Depression Scale, Multidimensional Scale of Perceived Social Support, and Elders Health Empowerment Scale were used to assess perceived participation, hip/knee-related symptoms and functional restrictions, depression symptoms, social support, and health empowerment. The mean score for perceived participation and autonomy was 22.554 (SD: 13.042). The mean scores for participation in indoor autonomy, outdoor autonomy, family roles, and social relations were 0.654 (SD: 0.608), 1.324 (SD: 0.792), 1.053 (SD: 0.657), and 0.664 (SD: 0.542), respectively. Negative correlations were observed between perceived participation/autonomy scores and HOOS/KOOS, social support, and health empowerment scores. Conversely, a positive correlation was found between perceived participation/autonomy scores and depression scores. The detrimental effect of HOOS/KOOS, social support, and health empowerment scores on perceived participation and autonomy was notable, while the impact of depressive symptoms was comparatively minor. Older Chinese patients, at first six months post THA/TKA surgery, reported higher levels of perceived participation compared to individuals with other conditions, such as stroke patients. Functional limitations resulting from hip/knee-related symptoms, as well as social support and health empowerment, emerged as significant influencing factors for perceived participation and autonomy. This research enhances our comprehension of the elements influencing perceived participation among older adults individuals who have undergone THA/TKA procedures.

Factors Influencing Purchase Intention towards International Cosmetic Products among Malay Women

An attractive appearance is essential for women. Women are willing to spend money for the sake of taking care of their face and skin by buying trusted cosmetic brands. The utilization of cosmetic items has emerged as a significant aspect across the lifespan, from infancy to old age, with a growing number of consumers engaging in the consumption of such products. Consumers in developing countries prefer well-known international products rather than domestic products because they have more confidence in the quality of foreign products. Hence, the researcher aims to investigate the extent to which product quality, packaging, brand name and promotion influence purchase intention toward international cosmetic products among Malay women in Putrajaya Malaysia. Therefore, a survey of 105 Malay women in Putrajaya Malaysia was conducted to analyze the factors that influence purchase intention toward international cosmetic products. Correlation analysis is used to analyze the data to identify the relationship between the variables. Furthermore, multiple regression analysis is used to assess the significant influential factors toward purchase intention. The result from the survey discovered that only product quality has a significant relationship with purchase intention towards international cosmetic products among Malay women in Putrajaya Malaysia. Packaging, brand name and promotion were not found to have a significant relationship towards purchase intention towards international cosmetic products.

Status and influencing factors of undergraduate midwifery students' core competencies: A cross sectional study

IntroductionMidwifery undergraduate students' core competencies directly affect the quality of midwifery services and overall quality of midwifery teams. However, limited research has explored the core competencies of undergraduate midwifery students in China. ObjectivesThis study aimed to describe the level of core competencies among undergraduate midwifery students in China and investigated possible associated factors. DesignThis was a cross-sectional descriptive study. Settings and participantsThe study population comprised third- and fourth-year undergraduate midwifery students at Zunyi Medical University in Guizhou Province in southwest China (n = 207, response rate 94.1 %). MethodsData were collected using an online survey that included a general information questionnaire, a general self-efficacy scale, and a core competencies self-assessment questionnaire for midwifery undergraduates. Data were statistically analyzed using SPSS 18.0. Pearson's correlation analysis was used to explore the relationship between self-efficacy and the core competencies. Stepwise multiple linear regression was used to explore influencing factors. ResultsThe total score for the core competencies among midwifery undergraduates was 118.46 (8.97). The highest mean score was for professional attitude, 4.21 (0.43), and the lowest was for professional skills, 3.70 (0.30). We found a positive association between self-efficacy and core competencies (r = 0.251, P < 0.01). Grade (β = 0.261, P < 0.01), scholarship (β = −0.231, P < 0.01), work intention (β = −0.135, P < 0.05), and self-efficacy (β = 0.207, P < 0.01) significantly influenced undergraduate midwifery students' core competencies (R2 = 0.189, adjusted R2 = 0.173, F = 11.775, P < 0.001). ConclusionsUndergraduate midwifery students showed moderate core competencies, indicating room for improvement. Fourth-grade midwifery students had higher core competencies than third-grade students. Additionally, scholarship, work intention, and self-efficacy were significant influencing factors. Midwifery educators should examine students' core competencies and explore targeted interventions, particularly for those with low self-efficacy and core competencies.

Multi-modal Analysis of Water Milk Consumption Preferences and Influencing Factors——Based on Shanghai's Generation Z Crowd

This study aims to analyze the consumption preference and influencing factors of Buffalo Milk among Shanghai's Generation Z population, to provide marketing strategy references for dairy companies, and to promote the healthy development of Shanghai's Buffalo Milk market.In this paper, we first take the Generation Z population as the main body through network survey and literature survey, and select potential consumers who will buy buffalo milk from them, and then recover the questionnaires to conduct follow-up surveys, organize and analyze the existing buffalo milk industry data, and derive the overall development of Shanghai's Generation Z buffalo milk market, and compare the customer's loyalty to the brand by using the retention index in order to explore the brand equity of each brand. The brand equity of each brand is explored by utilizing the retention index to compare customer loyalty. Secondly, we collect basic data on buffalo milk consumption of Generation Z through online questionnaire survey based on K-Means clustering algorithm for feature extraction, and use word cloud to draw user profiles to find out the consumption preference of buffalo milk crowd. Then, the logistic model is used to explore the significant influencing factors that affect consumers' purchase of buffalo milk. Finally, we provide reasonable and effective suggestions for the "broken circle" problem of buffalo milk.