Analyzing latent categories of stress, anxiety, and depression in medical students: insights into their psychological resilience by Huang Lei, Huang Lei, Jiang Jiaming, Huang Bin, Yuwen Lyu, Liu Junrong, Lawrence T. Lam, Chen Yufei

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The Determinants of Commercial Land Leases in the Non-Central Districts of a Large City in China: Data Analysis from the Government–Market Perspective by Jing Cheng

“…The mathematical models used for multiple linear regression for the leased price and area of the influencing factors of commercial land leases from the perspective of the government and market are proposed. …”
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Evaluating the impact of improved maize varieties on agricultural productivity and technical efficiency among smallholder farmers in the Eastern Cape, South Africa: an empirical an... by Lelethu Mdoda, Nthabeleng Tamako, Lungile S. Gidi, Denver Naidoo

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Grossman’s Generalised Health Demand Model: An Application on Türkiye by Oğuz Kara

“…Health demand is influenced by economic variables as well as social and cultural factors and individuals' life behaviors. Such variables are also included in the analysis. …”
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Follicular lymphoma: results of multicenter study of first-line therapy with bendamustine and rituximab, risk factors for adverse events (fl-rus-2013 protocol) by E. S. Nesterova, S. K. Kravchenko, A. M. Kovrigina, E. G. Gemdzhian, L. V. Plastinina, Ya. K. Mangasarova, F. E. Babaeva, A. E. Misyurina, O. V. Margolin, A. U. Magomedova, V. I. Vorobiev, D. S. Maryin, E. A. Baryakh, Yu. Yu. Polyakov, P. A. Zeynalova, E. M. Volodicheva, N. N. Glonina, N. V. Minaeva, G. A. Davydova, V. G. Savchenko

“…The following independent statistically significant (p ≤0.05) predictors of PFS (measured in the onset of the disease) were determined (as a result of a stepwise multivariate cox regression analysis): 1) cytological type of tumor (only type 3A is significant); 2) involvement of nodal zones (more than 4); 3) presence of a conglomerate of tumor lymph nodes larger than 6 cm (bulky); 4) Ki-67 protein expression (more than 35 %). …”
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Zinc Deficiency and Subsequent Reduction in Insulin-like Growth Factor I Are Risk Factors for Stunting among School-Aged Children in the Gaza Strip, Palestine by Eman Elian, Ihab A. Naser, Ihab M. Almasri

“…The blood sample was drawn from the pupils to analyze zinc, insulin-like growth factor (IGF-1), hemoglobin (HG), albumin, and C-reactive protein (CRP). …”
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Construction and Validation of a PCA-Based Prediction Model for Preterm Infant Stunting Risk: A Retrospective Study by Kun Dai, Rong Yu, Yushi Meng, Xiaomeng Yang, Yixin Jiang, Jing Luo, Kui Fang, Suqing Wang, Zhihui Rong

“…Results: The five standardized indicators at 3, 6, 9, and 12 months for 507 preterm infants were analyzed using principal component analysis, and their developmental outcomes were grouped accordingly. …”
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Trends of drug-resistant tuberculosis and risk factors to poor treatment-outcome: a database analysis in Littoral region-Cameroon, 2013–2022 by Teyim Pride Mbuh, Patricia Mendjime, Irene-Adeline Goupeyou-Wandji, Valerie Flore Donkeng-Donfack, Judith Kahou, Laurent-Mireille Endale Mangamba, Severin Mefoug, Patricia Annie Bisso Ngono, Linda Esso, Georges Alain Etoundi Mballa

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Study on the influencing factors of childcare needs and their operation mechanism among parents with children aged 0–3 years in China—an empirical analysis based on a mixed methods... by Huanhuan Li, Bingyu Duan, Yuhuan Zhang, Mingci Chen, Yifang Wang, Huijuan Di

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Analysis of influencing factors and equity in health education for mobile populations based on random forest model: evidence from the China migrants dynamic survey by Meng Han Jiang, Shan Yan Lei, Fang Yang

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Exploring the factors influencing alarm fatigue in intensive care units nurses: A cross-sectional study based on latent profile analysis. by Liya Li, Wenxia Zhang, Yanling Chen

“…Potential profiles of nurse alarm fatigue were analyzed, and the influencing factors of different profiles were explored by univariate analysis and multivariate logistic regression analysis.…”
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A multi-method spatial examination of factors associated with changes in geographic accessibility to buprenorphine providers in HEALing communities study states Kentucky, Massachus... by Shikhar Shrestha, Olivia Lewis, Daniel Harris, Peter Rock, Anita Silwal, Sumeeta Srinivasan, Thomas J. Stopka

“…We used four methods to examine changes in geographic accessibility to buprenorphine: 1) kernel density analysis; 2) change in rates analysis (at the county or municipality level); 3) minkowski distance (drive-time to the nearest provider); 4) enhanced 2-step floating catchment area (E2SFCA) and spatial regression analyses, controlling for HCS communities (Wave 1 or Wave 2) and other sociodemographic factors. …”
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Enhanced precision in prostate surgery: determining key factors for rectal positive surgical margins through integrated imaging and clinical data analysis by Yufan Wu, Yufan Wu, Fei Liu, Shiyu Ma, Guodong Jing, Qiwei Yu, Linya Yao, Chengwei Shao, Weiguo Chen, Xingbo Wang

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Global trends of chronic kidney disease from 1990 to 2021: a systematic analysis for the global burden of disease study 2021 by Zhongtang Li, Riming He, Yuzhi Wang, Ziyi Qu, Jiahui Liu, Renhuan Yu, Shudong Yang

“…Metrics included age-standardized incidence rate (ASIR), age-standardized mortality rate (ASMR), age-standardized prevalence rate (ASPR), disability-adjusted life years (DALYs), and age-standardized DALYs rate (ASDR) between 1990 and 2021. The Joinpoint regression analysis was used to calculate the average annual percentage change (AAPC), and age-period-cohort (APC) analysis was performed to assess trends. …”
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Analysis of the relative risk factors for H-type hypertension and its correlation with the MTHFR C677T genotype in a health checkup population in Urumqi, China—a cross-sectional st... by Na Li, Xiaoping Yang, Yuan Zou, Jing Chen, Yajing Cui, Yunjie Teng, Dan Yang, Ayipali Aikemujiang, Jianrong Wu

“…In addition, high-density lipoprotein (HDL) cholesterol was identified as a protective factor (OR = 0.447, p = 0.002). Through regression analysis, a nomogram model was constructed to predict the incidence of H-type hypertension. …”
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Efficacy and prognostic factors of anti-VEGF treatment for neovascular age-related macular degeneration: An OCTA imaging-based deep learning analysis by Shengnan Liu, Yuanyuan Liu, Xiaohan Wu, Haochen Wang, Ziqi Jin, Peiru Wang, Jinyu Feng, Song Chen, Wei Zhou

“…There were statistical differences in the association between the base line Vdisp of DVC (b = 0.07, t = 2.50, P = 0.014), base line intraretinal fluid (IRF) (b = 0.17, t = 2.02, P = 0.045) and base line BCVA, shown with multiple linear regression analysis. Conclusion: This study analyzed factors affecting treatment response. …”
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Predictive modeling of the development height of water-conducting fracture zones in mines in Shandong mining area by XU Dongjing, DOU Xuan, LI Ye, XIA Zhicun

“…We analyzed their correlation with the development height of hydraulic fracture zones, and established a multifactorial prediction model with highly-correlated factors via regression analysis and deep learning calculation. …”
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The Weight of Socioeconomic Factors in Mexican Households’ Consumption Adjustments Along the Business Cycle: A Comparative Analysis of the 1994 and 2008–2010 Crises by Marisol López-Romero, Stephanie Sophia Alva-Ruiz, José Alejandro Roque-Jiménez

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Analysis of the Influencing Factors of Tumor Volume, Body Immunity, and Poor Prognosis after 125I Particle Therapy for Differentiated Thyroid Cancer by Liling Tan, Zhijun Chen, Wenjun Wang, Yu Su, Zhen Wu, Ling Yi, Zhipeng Zheng

“…The changes in the condition of patients were closely observed, and the occurrence of adverse reactions in the two groups were compared. The risk factors influencing the efficacy of 125I particle therapy for differentiated TC were analyzed through multivariate logistic regression analysis. …”
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Exploring Mortality and Prognostic Factors of Heart Failure with In-Hospital and Emergency Patients by Electronic Medical Records: A Machine Learning Approach by Yu CS, Wu JL, Shih CM, Chiu KL, Chen YD, Chang TH

“…Similar results were obtained when we analyzed the data using Cox regression instead of logistic regression. …”
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