Analysis of Gender Differences in Participation in Continuing Vocational Training: An Organizational Perspective by Iulia-Oana Stefanescu, Kamer-Ainur Aivaz

“…Quantitative analysis reveals a consistent inverse proportionality of participation rates, with women often being more involved in CVT programs, particularly in smaller organizations, where their participation rates are significantly higher than men's. …”
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Progress and direction of 3D seismic exploration in Qintong Sag of Subei Basin by LIU Ming,XUE Ye,LIU Tiantian,ZHAO Sucheng,LAN Jiada,SHI Mengjun,YANG Fan

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Association of composite dietary antioxidant index and endometriosis risk in reproductive—age women: a cross-sectional study using big data-machine learning approach by Wenxin Chen, Kui Xiao, Chenyu Zhou, Jiajia Cheng, Zixuan Zeng, Fang Zhang

“…To investigate the relationship between the CDAI and the EM, a variety of statistical techniques were employed, including a weighted multiple logistic regression model, smooth curve fitting, machine learning analysis, and subgroup analyses.ResultsAfter controlling for potential confounding variables, the results indicated an inverse relationship between CDAI and EM (OR = 0.92, 95% CI 0.86–0.98, p = 0.011). …”
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Optimal selection of high-production well targets for fault-controlled fractured-vuggy reservoir in Shunbei oil and gas field, Tarim Basin by Lijun GAO, Haiying LI, Wei GONG, Wei YANG, Hongyan LI

“…The Q-compensation seismic data processing technology developed through research improved the imaging resolution of fault-controlled fractured-vuggy systems in low signal-to-noise ratio seismic data under desert environments. …”
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A time series analysis of mineral revenue and economic growth in Ghana by Frank Boateng, Gomashie Edem Wisdom, Sulaiman Olusegun Atiku

“…Utilising a quantitative approach, data was sourced from the Minerals Commission, the Bank of Ghana, the Ghana Chamber of Mines, and World Development Indicators. …”
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Analysis of factors associated with arterial stiffness in the general working-age population by V. S. Kaveshnikov, I. A. Trubacheva, V. N. Serebryakova

“…All respondents signed an informed consent to participate in the study. The analysis included blocks of classical, social and behavioral risk factors for CVD. …”
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Harnessing SVM for Sentiment Analysis: Insights from Gojek's Instagram Engagement by Muhammad Juan Savero, Ali Ibrahim, Yadi Utama, Endang Lestari

“…As a development step, this research recommends further exploration with deep learning and Aspect-Based Sentiment Analysis (ABSA) to improve accuracy and understand the service aspects that have the most influence on customer satisfaction.…”
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Cross-Industry Analysis of the Hotel and Restaurant Sector’s Contribution to Kazakhstan’s Economy by M. B. Idryshov, A. A. Apysheva, K. Zh. Sholpanbayeva

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SOCIAL RELIGIOUS CHANGES OF EAST JAVA PEOPLE IN THE INDEX OF TOLERANCE ANALYSIS by Muhammad Lukman Hakim, Indah Dwi Qurbani, Abdul Wahid

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On using the factor analysis to study the geodynamic processes of formation of the Greater Caucasus by F. L. Yakovlev, E. S. Gorbatov

“…The parameters, that are directly related to the evolution of the blocks of the continental crust in the study area, constituted the initial data array for the factor analysis. In the first step, the Kaiser criterion was used to determine the number of factors, and it was equal to two. …”
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Integrated multidimensional analysis is required for accurate prognostic biomarkers in colorectal cancer. by Marisa Mariani, Shiquan He, Mark McHugh, Mirko Andreoli, Deep Pandya, Steven Sieber, Zheyang Wu, Paul Fiedler, Shohreh Shahabi, Cristiano Ferlini

“…Subsequently, we integrated the data into a diagnostic score using sliced inverse regression for sufficient dimension reduction. …”
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Spatial Analysis of the Relationship between Ecological Factors and Housing Prices in Tehran by Atefeh Kolyaei, Tahir Prizadi, Habibollah Fasihi

“…The dependent variable in this analysis was the price per square meter of residential properties (apartments) sold in March 2024 as reported by the Real Estate Website of the Ministry of Roads and Urban Development. …”
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The causal impact of smoking behavior on osteoarthritis: a Mendelian randomization analysis by Qiang Xiao, Susu Dong, Yafen Tan, Xuan Zhang, Lu Yao, Qiuping Li, Tianli Wang

“…We conducted meta-analysis to combine the MR results. To confirm the robustness of the results, sensitivity analysis using Leave-One-Out (LOO), level pleiotropy testing (MR Egger intercept test and MR-PRESSO), and heterogeneity testing were performed.ResultsSummary-level MR analysis revealed a positive correlation between genetic predisposition for smoking and the likelihood of developing OA. …”
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Exploring the association between life’s essential 8 and gallstone disease in the US adult population: a population-based study utilizing NHANES data from 2017-2018 by Yi Xiao, Wenting Zhao, Qiuchan Zhao, Kangfeng Pang, Qiaoping Gao, Xiaoqu Yang, Huadi Chen, Hao Xu

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Galectin-3 in recipients with kidney graft dysfunction: analysis of predictive significance by D. A. Velikiy, S. O. Sharapchenko, O. E. Gichkun, E. S. Stolyarevich, D. A. Saydulaev, M. A. Osoblivaya, A. A. Mamedova, O. P. Shevchenko

“…Among the kidney recipients, 91 patients had kidney graft dysfunction according to laboratory and clinical data, which served as an indication to perform a graft biopsy with morphologic examination of the samples. …”
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Analysis of the profitability of solar energy implementation as a determinant of sustainable economy by Zdravković Vladimir, Popović Zoran, Kotarac Đorđe

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Multi-omics analysis identifies OSGEPL1 as an oncogene in hepatocellular carcinoma by Sintim Mui, Juanyi Shi, Kai Wen, Yongcong Yan, Huoming Li, Weidong Wang, Zhenyu Zhou, Zhiyu Xiao

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Incorporating Deep Learning Into Hydrogeological Modeling: Advancements, Challenges, and Future Directions by Zhenxue Dai, Chuanjun Zhan, Huichao Yin, Junjun Chen, Lulu Xu, Yuzhou Xia, Songlin Yang, Wei Chen, Mingxu Cao, Zhengyang Du, Xiaoying Zhang, Bicheng Yan, Yue Ma, Hao Wang, Farzad Moeini, Mohamad Reza Soltanian, Hung Vo Thanh, Kenneth C. Carroll

“…Traditional modeling methods face challenges due to the increasing complexity and volume of data. Deep learning (DL) has emerged as a promising tool, offering significant improvements in accuracy and efficiency for tasks such as time series prediction, spatial data analysis, and inverse modeling. …”
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Interconnections in the education–migration–labor market chain in Central and Eastern Europe by Naila Mukhtarova, Roza Nurtazina, Dariusz Krawczyk, Veronika Barvinok, Anna Vorontsova, Sergej Vasić, Tetiana Vasylieva

“…Statistical data were collected from the World Bank, the Organisation for Economic Cooperation and Development, and the International Labour Organization databases. …”
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Unraveling the causal relationship between serum minerals and pancreatic cancer: a Mendelian randomization study by Cong Liu, Huajun Wu, Dongdong Cai, Xin Yu

“…Genetic variants associated with serum mineral levels, including calcium, iron, magnesium, zinc, selenium, and copper, were selected as instrumental variables (IVs) from large-scale genome-wide association study (GWAS) data. Multiple methods, including inverse variance weighting (IVW), MR-Egger, weighted median, weight methods, were employed to perform MR analysis. …”
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