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Spatial Distribution Characteristics and Influencing Factors of Public Service Facilities for Children—A Case Study of the Central Urban Area of Shenyang
Published 2025-07-01“…This study employs the Shannon diversity index, the location entropy, spatial autocorrelation, and the Geographically Weighted Regression (GWR) to analyze the spatial distribution characteristics and influencing factors of children’s public service facilities in the central urban area of Shenyang. …”
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102
The Role of Country- and Firm-Level Factors in Determining Firms’ Environmental, Social, and Governance (ESG) Performance: A Machine Learning Approach
Published 2025-01-01“…Additionally, we used the double-debiased machine learning technique to assess causal inference in feature importance, revealing capital expenditure, political stability, and leverage as the most influential factors in ESG predictions. Although the ranking of feature importance varies between the causal inference and predictive models, the key factors identified by both techniques largely align and are consistent with the significance of the coefficients from the multiple regression model.…”
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103
COMPETITIVENESS AND DEVELOPMENT PHARMACEUTICAL INDUSTRY OF KAZAKHSTAN
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104
How topographic factors regulate vegetation vigor in reservoir drawdown zones with different levels of hydrological disturbances?
Published 2025-09-01“…Using a combination of the geographic detector and geographically weighted regression models, we quantified the effects of elevation, slope, and aspect on the spatial distribution of vegetation vigor, measured by the Enhanced Vegetation Index (EVI), and analyzed their regional variations. …”
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105
Risk factors of breast cancer patients developing multiple primary cancers: a retrospective study and establishing/testing of machine learning models
Published 2025-07-01“…Methods A cohort of patients from the Surveillance, Epidemiology, and End Results (SEER) database was analyzed to identify key factors contributing to the occurrence of MPCs. …”
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106
Travel Time Probability Prediction Based on Constrained LSTM Quantile Regression
Published 2023-01-01“…Weather, as one of the important factors influencing travel time reliability, affects the relationship between the supply and requirement of urban road networks. …”
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107
Factors associated with premenstrual symptoms: a study among graduate-level students of the institute of science and technology, Tribhuvan university
Published 2025-07-01“…Depression, Anxiety and Stress Scale (DASS-21) was used to measure the psychological distress. Factors associated with PMS were analyzed using Multiple Binary Logistic Regression. …”
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108
Spatial heterogeneity of landslide distribution and its drivers in the Yangtze River Basin: a remote sensing and GIS-based multi-factor analysis
Published 2025-06-01“…A Composite Human Activity Intensity Index (CHAII) is developed from nighttime light intensity, population density, and distances to impermeable surfaces and cultivated land. Factors analyzed include CHAII, slope, topographic ruggedness, precipitation, and distances to river and fault lines. …”
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109
Analysis of risk factors of acute respiratory failure after radical resection of esophageal cancer by two methods
Published 2025-01-01“…"<b>Objective</b> To analyze the risk factors of acute respiratory failure (ARF) after radical resection for esophageal cancer by combining logistic regression analysis and association rule analysis. …”
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110
Analysis of spatiotemporal evolution and driving factors of ecological environment quality in the Ili-Balkhash Lake Basin in Central Asia
Published 2025-07-01“…Additionally, geographic detectors and geographically weighted regression models were used to identify and analyze the global and local factors influencing RSEI. …”
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111
Risk factor analysis and predictive model development for healthcare-associated infections post-coronary artery bypass grafting
Published 2025-07-01“…ObjectiveThis study aimed to analyze the risk factors associated with healthcare-associated infections (HAIs) in individuals who underwent post-coronary artery bypass grafting (CABG) and to develop a predictive model for infection risk assessment.MethodsClinical data were retrospectively collected from patients who underwent CABG at our hospital between January 2019 and December 2023. …”
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112
Extents of rural-urban linkages and its determinant factors in Robe town and its surrounding hinterlands, Bale Zone, South East Ethiopia
Published 2025-01-01“…The ordinal logistic regression analysis identified several statistically significant factors (P < .05) that influence linkage strength. …”
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113
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Analyzing Traffic Crash Severity in Work Zones under Different Light Conditions
Published 2017-01-01Get full text
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115
Predicting and analyzing ferry transit delays using open data and machine learning
Published 2025-01-01Get full text
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116
Anemia prevalence and associated factors among students benefiting from the rural compulsory education nutrition improvement program in Jilin province in 2023: a cross-sectional st...
Published 2025-06-01“…The chi-square test and multivariate binary logistic regression analysis were used to analyze the anemia status and its influencing factors among the students. …”
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117
Experimental Research on Frost Heave Characteristics of Gravel Soil and Multifactor Regression Prediction
Published 2018-01-01“…The influence of various factors including initial moisture content, clay content, compactness, overlying load, and water replenishing on frost-heaving ratio of gravel soil were analyzed. …”
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118
Comparision of Kernel Functions in Geographically Weighted Regression Model: Suicide Data as an Application
Published 2021-12-01“…In this study, the number of suicides data was used for Turkey’s 81 provinces in 2019.The effects of factors affecting suicide and spatial differences on suicide were analyzed and predicted with geographically weighted regression models (GWR). …”
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119
Unveiling the Riddoch phenomenon: a regression analysis of stroke-induced homonymous hemianopia
Published 2025-08-01“…IntroductionA subset of patients with homonymous hemianopia can consciously perceive motion within their blind visual fields—a phenomenon known as the Riddoch phenomenon. However, the factors predicting this residual motion perception remain poorly understood. …”
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120
Toward Building Model of Business Closure Intention in SMEs: Binomial Logistic Regression
Published 2025-06-01“…The survey evidence from 385 Ecuadorian SMEs was analyzed in two stages; confirmatory factor analysis validated the scales capturing environmental pessimism and personal pressures, and a structural equation model confirmed that both latent constructs directly heighten exit propensity. …”
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