Assessing the Role of Energy Mix in Long-Term Air Pollution Trends: Initial Evidence from Poland by Mateusz Zareba

“…From a PM perspective, the regression analysis showed that High-Methane Gas had a neutral impact on PM concentrations, making it a suitable transition energy source, while renewables exhibited negative regression coefficients and coal-based sources showed positive coefficients. …”
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COL7A1 indicates crucial potential as a basal membrane-related prognostic biomarker and therapeutic target in lung adenocarcinoma by Jiao Zhang, Jiao Zhang, Jiao Zhang, Jiao Zhang, Jiao Zhang, Rui Zi, Ping Hu, Zongying Jiang, Ye Lv, Haixia Zhang, Yanjiao Zhao, Yan Wang, Lujun Zhao, Lujun Zhao, Lujun Zhao, Lujun Zhao

“…Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were used to evaluate their functions. Univariate Cox regression analysis was used to evaluate the prognostic value, and multivariate Cox regression analysis was used to verify its independence as a prognostic risk factor. …”
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Blood pressure variability combined with coagulation function in early prediction and outcome assessment of germinal matrix-intraventricular hemorrhage in preterm infants with gest... by Lijun Jiang, Qian Yu, Hui Li, Fudong Wang, Feng Liu, Zhenxing Xu

“…Coagulation function and BPV indexes were collected at admission. Univariate analysis, logistic regression model, and receiver operating characteristic curve were used to analyze the relationship between indexes and the occurrence and outcome of GMH-IVH in preterm infants.…”
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Prognostic Relationship Between Human Papillomavirus Status and Overall Survival in Patients with Tongue Cancer by Chayanit Kritpracha, Peesit Leelasawatsuk, Virat Kirtsreesakul, Pasawat Supanimitjaroenporn, Jarukit Tantipisit, Manupol Tangthongkum

“…Survival outcomes were compared using the log-rank test, and independent prognostic factors were analyzed using multivariable Cox regression. …”
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Bioaccumulation, sources and health risk assessment of polycyclic aromatic hydrocarbons in Lilium davidii var. unicolor. by Haixu Sun, Tianxiang Xia, Hongguang Cheng, Zhenzhen Wu, Qianding Cheng, Lu Lu, Chunbao Fu

“…Correlation analysis and principal component analysis with multivariate linear regression indicated that biomass and wood burning, coal combustion, diesel combustion, and petroleum leakage were the major sources of PAHs in the raw bulbs. …”
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Development and Validation of a Neonatal Hypothermia Prediction Model for In-Hospital Transport Using Machine Learning Algorithms: A Single-Center Retrospective Study by Zhang W, Gu X, Gu C, Yao L, Zhang Y, Wang K

“…Ten risk factors were identified through univariate analysis and LASSO regression, including gestational age, weight, and immediate postnatal contact. …”
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Risk prediction of stroke-associated pneumonia in acute ischemic stroke with atrial fibrillation using machine learning models by Tai Su, Peng Zhang, Peng Zhang, Bingyin Zhang, Zihao Liu, Zexing Xie, Xiaomei Li, Jixiang Ma, Tao Xin

“…The primary outcome was SAP during hospitalization. Univariate analysis and LASSO regression analysis methods were used to screen predictors. …”
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Schistosomiasis Among Schoolchildren in Amd District of Hadhramout Governorate, East of Yemen: A Hotspot for Schistosoma haematobium Transmission by Al-Bowri SS, Al-Mekhlafi AM, Abdul-Ghani R, Azazy AA

“…Urine filtration and Kato-Katz techniques were used to detect and count the eggs of Schistosoma haematobium and S. mansoni, respectively. Data were analyzed using appropriate statistical tests, and multivariable binary logistic regression analysis was performed to identify predictors of schistosomiasis.Results: In Amd District, 33.7% (95% CI: 28.9– 38.7) of schoolchildren had light-intensity infection with any Schistosoma species, indicating a moderate risk level, specifically S. haematobium among 31.6% (95% CI: 26.9– 36.3) and S. mansoni among 2.1% (95% CI: 0.7– 3.6) of children. …”
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Priorities for intervention of childhood stunting in northeastern Ethiopia: A matched case-control study. by Sisay Eshete Tadesse, Tefera Chane Mekonnen, Metadel Adane

“…A conditional logistic regression model was used for data analysis. From multivariable conditional logistic regression analysis, determinants of stunting were identified. …”
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Healthcare professionals’ knowledge, attitudes, and practices regarding China’s National Centralized Drug Procurement policy: a cross-sectional study in Shaanxi Province by Qian Shen, Limin Kang, Dan Ye, Youjia Li, Kanghuai Zhang

“…All the variables were descriptively analyzed, and multivariate logistics regression analysis was used to explore the factors associated with KAP level.ResultsA total of 1,257 valid responses were received. …”
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Model Determining the Success of Sustainability Report Disclosure in Indonesia by Triyono, Fatchan Achyani, Sandy Prasetyo, Lamin Khaira

“…The research method used is regression analysis with secondary data obtained from the Company's annual and sustainability reports, the Company Sample uses Mining Companies listed on the Indonesia Stock Exchange with a total sample of 110, for the period 2019-2023. …”
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Investigating the Effect of Normative Pressure on the Level of Adjustment between Ahvaz Youth and Their Parents with an Emphasis on Generation Gap by Daryoush Rezapour, mohammad bagher koopai

“…However, there was no significant relationship between employment status and youth gender with the dependent variable. Step-wise regression analysis showed that the variable of normative pressure and the youth’ use of mass media were the most influential factors on the level of generation gap and inconsistency between youth and their parents, respectively…”
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Association between the cardiometabolic index and cardiovascular disease risk in patients with cardiovascular-kidney-metabolic syndrome: a cohort study by De-Gang Mo, Tao Liu, Jing-Xian Bai, Min Liu, Qian-Feng Han, Heng-Chen Yao

“…In the fully adjusted Cox regression model, CMI is identified as an independent risk factor for the development of CVD in patients with CKM [Hazard Ratio (HR): 1.07, 95% Confidence Interval (CI): 1.02–1.04, p = 0.006]. …”
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Next-Generation Sequencing–Based Testing Among Patients With Advanced or Metastatic Nonsquamous Non–Small Cell Lung Cancer in the United States: Predictive Modeling Using Machine L... by Alan James Michael Brnabic, Ilya Lipkovich, Zbigniew Kadziola, Dan He, Peter M Krein, Lisa M Hess

“…Patients with nonsquamous disease, who received systemic therapy for NSCLC, and had at least 3 months of follow-up data for analysis were included in this study. Three strategies, logistic regression models, penalized logistic regression using least absolute shrinkage and selection operator penalty, and extreme gradient boosting with classification trees as base learners, were used to identify predictors of ever versus never and early versus late NGS testing. …”
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Development of a prediction model for acute respiratory distress syndrome in ICU patients with acute pancreatitis based on machine learning algorithms by REN Xia*，LIU Luojie，ZHA Junjie，YE Ye，XU Xiaodan，YE Hongwei，ZHANG Yan

“…The calibration curve indicated that the predicted probabilities from the RF model had the smaller deviation from the actual probabilities compared to other models，showing the best overall predictive performance. SHAP analysis based on the RF model revealed that mechanical ventilation，sequential organ failure assessment（SOFA）score，body mass index（BMI），peripheral oxygen saturation（SpO2）and simplified acute physiology score（SAPS Ⅱ）were the main factors influencing ARDS risk. …”
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Highly expressed of SERPINA3 indicated poor prognosis and involved in immune suppression in glioma by Qing Yuan, Song‐Quan Wang, Guang‐Tao Zhang, Jie He, Zhi‐Dan Liu, Ming‐Rong Wang, Hong‐Qing Cai, Jing‐Hai Wan

“…Results Univariate and multivariate regression both indicated that the level of SERPINA3 transcript represented an independent prognostic factor. …”
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Determinants of vitamin D deficiency among Bangladeshi children: A hospital based case-control study by Mohammad Delwer Hossain Hawlader, Sanjana Zaman, Moshiur Rahman, Mohammad NM Khan, Aazia Hossain, Gias U Ahsan

“…Univariate and multivariate logistic regression analysis were performed to confirm the association.  …”
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Relationship Between Blurred Boundary and Neurological Deficits in Extension-Type Pediatric Supracondylar Humeral Fractures by Takuji Yamamoto, MD, Yoshifumi Ueshin, MD, Hikaru Ogawa, MD, Yasuharu Nakashima, MD, PhD

“…Univariate and multivariate logistic regression analyses were performed to identify risk factors. …”
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Patient-specific predictors of successful frozen embryo transfer using the freeze-all protocol: a retrospective observational study by Hyun Joo Lee, Eun Hee Yu, Jong Kil Joo

“…Multivariate logistic regression analysis of these variables revealed that only male age was a significant factor for successful clinical pregnancy (odds ratio, 4.768; 95% confidence interval, 1.252–18.162; p=0.022). …”
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Life’s Crucial 9 and NAFLD from association to SHAP-interpreted machine learning predictions by Jianxin Xi, Yuguo Chen, Chen Jie, Jason Chi Shing Law, Zhongqi Fan, Guoyue Lv

“…Cardiovascular disease (CVD) and NAFLD share multiple common risk factors. Life’s Crucial 9 (LC9), a novel indicator for comprehensive assessment of cardiovascular health (CVH), has not yet been studied in terms of its association with or predictive value for NAFLD. …”
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