Showing 1,841 - 1,860 results of 9,798 for search '"\"((\\"factor AND regression analyzed\\") OR (\\"factors AND regression analyzed\\"))*\""', query time: 0.38s Refine Results
  1. 1841
  2. 1842

    Prevalence and influencing factors of work-related musculoskeletal disorders of coal miners in a coal mine group by Xiaolan ZHENG, Liuquan JIANG, Ying ZHAO, Hongxia ZHAO, Fan YANG, Qiang LI, Li LI, Yingjun CHEN, Qingsong CHEN, Gaisheng LIU

    Published 2025-03-01
    “…The positive rate and absenteeism rate of WMSDs were caculated, and Pearson's chi-square test was used for identify influencing factors of WMSDs, and finally a binary logistic regression method was used to further studying the factors. …”
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    Article
  3. 1843

    TECHNOLOGY FOR CREATING THE TOPOLOGY OF PRINTED CIRCUIT BOARDS USING POLYMER 3D MASKS by Igor Nevliudov, Evgeny Razumov-Fryzyuk, Dmytro Nikitin, Danila Bliznyuk, Roman Strelets

    Published 2021-03-01
    “…To achieve this goal, it is necessary to solve the following tasks: to analyze photolithography technology and types of polymer 3D printing; to develop a technological process for exposing photopolymer masks to a printed circuit board blank using 3D printing technologies; to conduct experimental studies to determine the optimal exposure parameters; on the basis of the empirical results obtained, to calculate the correlation coefficients of the factors for recall; to construct a linear regression model of the dependence of the deviations of the geometric dimensions of the printed conductors on the parameters of solutions for etching and exposure conditions. …”
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    Article
  4. 1844

    Comparative analysis of economic responses: Lebanon vs. Russia by Samar Abou Ltaif, Simona Mihai-Yiannaki

    Published 2025-12-01
    “…By examining factors and economic behaviors, the study seeks to provide insights into the distinct economic dynamics of these countries during periods of tension and instability.Design/Methodology/Approach The study utilizes multiple regression analysis with secondary data in SPSS to analyze the relationship between various economic factors and GDP. …”
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  5. 1845
  6. 1846

    Present situation and influencing factors of presenteeism among nurses in China: a cross-sectional multicenter study by Zehua Li, Zongting Luo, Lifang Chen, Lijuan Chen, Yue Chang, Xiaolin Ma, Lan Tao

    Published 2025-04-01
    “…This study aims to investigate the current status of nurses’ presenteeism in China, based on the theory of effort-recovery, analyze the factors that affect presenteeism, and provide a theoretical foundation for targeted interventions. …”
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    Article
  7. 1847

    Present situation and risk factors of hemodialysis with central venous catheter in patients with first autogenous arteriovenous fistula by LU Wen-wen, CAO Yan-pei, WANG Xin, REN Chong, YANG Xiao-li

    Published 2018-01-01
    “…The general information and laboratory biochemical indicators in the two groups were compared. Binary Logistic regression was used to analyze the risk factors for CVC. …”
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    Article
  8. 1848

    Explanation of factors affecting the sense of place in religious places of Iran (case examples of historical mosques in Tabriz by Lida Akhlaghi, Asadollah Shafizadeh

    Published 2025-04-01
    “…To analyze the quantitative data and measure the relationship between the variables, the Pearson correlation method and the simple and multivariate linear regression statistical tests were used to determine the relationship and intensity. …”
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    Article
  9. 1849

    One Health in Agricultural Sectors in Thailand, Lao PDR, and Vietnam: Interconnectedness Between Awareness and Socioeconomic Factors by Watchara Pechdin, Oulavanh Sinsamphanh, Long Bui-Thanh, Jiraphan Naruepatr, Sorasich Swangsilp, Sorasich Swangsilp, Mahesh Chougule, Ketkesone Phrasisombath, Tien D. N. Ho, Van-Phuc Phan

    Published 2024-11-01
    “…ObjectiveThe study aims to analyze the interconnectedness of farmers’ socioeconomic factors and their awareness of the One Health framework.MethodThis study conducted a survey with 1,166 observations across Thailand, Lao, and Vietnam and employed binary logit regression for data analysis. …”
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    Article
  10. 1850

    Spatiotemporal Dynamics and Driving Factors of Soil Salinization: A Case Study of the Yutian Oasis, Xinjiang, China by Shiqin Li, Ilyas Nurmemet, Jumeniyaz Seydehmet, Xiaobo Lv, Yilizhati Aili, Xinru Yu

    Published 2024-11-01
    “…Soil salinization is a critical global environmental issue, exacerbated by climatic and anthropogenic factors, and posing significant threats to agricultural productivity and ecological stability in arid regions. …”
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    Article
  11. 1851

    Associated factors and gender differences of falls in older adults with hypertension: a national cross-sectional survey by Yazhu Wang, Yingying Zhang, Shiwei Cao, Xiyu Chen, Xiaobing Xian, Xiaobing Xian, Tengfei Niu

    Published 2025-04-01
    “…Binary Logistic Regression Model was used to analyze the impact of each factor on falls among older adults with hypertension.ResultsThe prevalence rate of falls in older adults with hypertension in China was 22.60%. …”
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    Article
  12. 1852

    Analysis of Contributing Factors to Stunting in Poso Regency: A Perspective from the Special Stunting Handling Index by Nurfatimah Nurfatimah, Sumiaty Sumiaty, Kadar Ramadhan, Taqwin Taqwin, I Putu Suiraoka

    Published 2024-11-01
    “…Introduction: The prevalence of stunting in children in Indonesia, including Poso Regency, remains relatively high despite a decrease in recent years. This study aims to analyze factors associated with stunting in Poso Regency. …”
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  13. 1853

    Risk factors for epithelial ovarian cancer in the female population of Belgrade, Serbia: A case-control study by Gazibara Tatjana, Filipović Aleksandra, Kesić Vesna, Kisić-Tepavčević Darija, Pekmezović Tatjana

    Published 2013-01-01
    “…The aim of this case-control study was to determine the risk factors for OC in the female population of Belgrade, Serbia. …”
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  14. 1854
  15. 1855

    Medical insurance-related professionals’ identification of the benefits of the medical insurance system in Northeast China: a cross-sectional study by Zili Zhou, Huan Liu, Linghan Shan, Ye Li, Xin Zhang, Jiahui Wang, Zheng Kang, Mingli Jiao, Yanhua Hao, Yangguang Chen, Qunhong Wu

    Published 2025-01-01
    “…This research aims to analyze the IBMIS from the perspective of medical insurance-related professionals and to identify potential associate factors with IBMIS. …”
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    Article
  16. 1856

    Unimproved source of drinking water and the associated factors: Insights from the 2020 Somalia demographic and health survey. by Abdisalam Mahdi Hassan, Nimo Mohamoud Barakale, Omran Salih, Abdisalam Hassan Muse

    Published 2024-01-01
    “…Somalia faces significant challenges in providing improved drinking water sources, with a high prevalence of unimproved sources. This study analyzes data from the SHDS 2020 to investigate the prevalence of unimproved drinking water sources and identify associated factors. …”
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    Article
  17. 1857
  18. 1858

    Prediction of depressive disorder using machine learning approaches: findings from the NHANES by Thien Vu, Research Dawadi, Masaki Yamamoto, Jie Ting Tay, Naoki Watanabe, Yuki Kuriya, Ai Oya, Phap Ngoc Hoang Tran, Michihiro Araki

    Published 2025-02-01
    “…Traditional analysis methods often suffer from subjectivity and may not capture complex, non-linear relationships between risk factors. Machine learning (ML) offers a data-driven approach to predict and diagnose depression more accurately by analyzing large and complex datasets. …”
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    Article
  19. 1859

    Spatiotemporal Dynamics and Driving Mechanisms of Resource–Environment Carrying Capacity in the Yellow River Basin by Xin Xiang, Yi Xiao, Yongxiang Chen, Huan Huang

    Published 2025-06-01
    “…This study applied various methodologies, including Panel Vector Autoregression (PVAR), Geographically Temporally Weighted Regression (GTWR), and Random Forest, to analyze in the Yellow River Basin from 2011 to 2021. …”
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    Article
  20. 1860

    A GPT-Based Approach for Cyber Threat Assessment by Fahim Sufi

    Published 2025-05-01
    “…It utilizes a hybrid methodology combining spectral residual transformation and Convolutional Neural Networks (CNNs) to identify anomalies in time-series cyber event data, alongside regression models for evaluating the significant factors associated with cyber events. …”
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