Investigating the Relationship between Social Capital and Tribal Divergence in Mamsani and Rostam Counties by Soheila Lashkari, Asghar Mirfardi, Habib Ahmadi, Aliyar Ahmadi

“…The study sample was 450 residents of Mamsani and Rostam counties that selected using a multi-stage cluster random sampling method. The factor analysis and Cronbach's alpha used to evaluate the validity and reliability of the questionnaire, respectively. …”
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Adding human chorionic gonadotropin to frozen-thawed embryo transfer cycles pretreated with GnRH-a improves clinical pregnancy rates: a retrospective study by Lingna Peng, Qingxin Wang, Yannan Chen, Xiaoli Sun

“…Multivariate logistic regression, adjusting for confounders, identified HCG administration as an independent factor positively associated with clinical pregnancy (OR = 1.751, 95% CI = 1.227-2.500, p=0.002).Administering intramuscular HCG before endometrial transformation in FET cycles pretreated with GnRH-a may improve  clinical pregnancy rate and embryo implantation rate.…”
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Depression, Anxiety, and Stress In The Time of COVID-19 Pandemic In Kurdistan Region, Iraq by Niaz mustafa kamal, Nasih Othman

“…Prevalence of any severity levels of depression, anxiety, and stress was 45%, 47%, and 18% respectively. In regression analysis, notably female sex was a significant independent factor for higher levels of depression (coefficient 1.89, p<0.05), anxiety (coefficient 2.19, p<0.001), and stress (coefficient 1.52, p<0.05). …”
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The role of рАКТ1 expression in diffuse large B-cell lymphoma by E. V. Vaneeva, V. A. Rosin, D. A. Diakonov, A. S. Luchinin, S. V. Samarina, N. L. Kochetov

“…Using the two-sided Fisher’s exact test, the relationship of different levels of marker expression with clinical and laboratory parameters of patients and long-term treatment results was analyzed. The impact of pAKT1 on the risk of an adverse event was assessed using the Cox regression analysis.Results. …”
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Mediating role of growth mindset between college life stress and adjustment to college life among nursing students: A-cross sectional study. by Sujin Kang, Hye-Ah Yeom

“…Self-reported data on college life stress, growth mindset and adjustment to college life were collected using the online survey questionnaire. The data were analyzed using an independent t-test, one-way ANOVA, Kruskal-Wallis H test, Pearson's correlation, and multiple regression analysis. …”
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Innovation and market orientation in smallholder pig production: by Okello, Daniel Micheal Okello, Odongo, Walter, Aliro, Tonny, Owiny, David Okello, Ndyomugyenyi, Elly Kurobuza

“…Collected data were analyzed in SPSS using descriptive statistics, exploratory factor analysis and hierarchical regression. …”
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Determinants of health literacy among older adults in Saboba district in Ghana: a cross-sectional study by Bismark Akubire, Vincent Uwnboriyhi Gmayinaam, Emmanuel Anongeba Anaba, Prince Kubi Appiah, Geoffrey Adebayo Asalu

“…Data were collected using a structured questionnaire and analyzed with Stata Version 16.0. An adjusted odds ratio (AOR) with a 95% confidence interval (CI) was reported to indicate the presence of statistically significant factors associated with older adults’ health literacy. …”
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Construction and validation of a nomogram model for predicting the risk of recurrence in patients with lower extremity arteriosclerosis obliterans after surgical intervention by Yanyan Lu, Lingyan Wang, Xiaoxiao Yu, Xiaohu Meng

“…Multivariate logistic regression analysis indicated that age ≥ 60 years, BMI ≥ 24 kg/m², diabetes, hypertension, discontinuation of antiplatelet therapy, FIB, and D-D were independent risk factors for recurrence after surgical intervention in patients with lower extremity ASO (OR = 2.471, 1.625, 4.568, 2.678, 5.974, 2.073 and 3.067; P < 0.05, respectively). …”
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Feasibility of Using Statistical Forecasting Method in the Marcal Catchment Area by Máté Szabó, Katalin Bene, Gábor Kerék

“…Multi-level regression analysis, incorporating first- and second-order polynomials, was used to predict flood peaks at this outflow. …”
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The Effect of Inflation, BI Rate, and Profit-Sharing Rate on NPF in Islamic Banks by Nisrina Qurrotul ’Aini, Shandrina Agustin Rahayu, Irwan Sutirman Wahdiat, Mardi Mardi

“…Using a quantitative approach, secondary data from eight Islamic Commercial Banks (BUS) registered with the Financial Services Authority (OJK) during the 2019–2023 period were analyzed. The study employed multiple linear regression analysis and classical assumption tests, including normality, multicollinearity, heteroscedasticity, and autocorrelation tests using SPSS version 25. …”
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The impact of health risk communication on self-perceived health and worry of targeted groups: Lessons from the Swedish COVID-19 response. by Jonna Rickardsson, Charlotta Mellander

“…Using ordered logit regression, we compared perceived health and virus-related concerns between individuals just below (68-69 years) and just above (70-71 years) the high-risk age threshold, controlling for demographic factors.…”
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Clinical Profile and Outcome of Coronavirus Disease-2019 in Kidney Transplant Recipients Admitted to a Tertiary Care Center: A Retrospective Study by Deepak Kumar Panigrahi, Sahil Bagai, Kamakshi Narula Singh, Kunal Raj Gandhi, Pallavi Prasad, Gagan Deep Chhabra, Rahul Grover, Dinesh Khullar

“…Clinical and biochemical characteristics of the survivors and nonsurvivors were studied. The factors affecting the mortality in this cohort were analyzed. …”
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A surgical strategy-based nomogram for primary pulmonary mucoepidermoid carcinoma by Lei Yu, Yanling Peng, Shan Lan, Lu Yang

“…Independent prognostic factors were selected via Cox regression (P < 0.05). …”
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A Prognostic Nutritional Index-Based Nomogram to Predict Breast Cancer Metastasis: A Retrospective Cohort Validation by Chen Z, Gao H, Cheng M, Song C

“…Multivariate logistic regression analysis was conducted to identify the influencing factors of BC metastasis. …”
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Value of the 14-gene molecular assay in efficacy assessment of neoadjuvant chemoimmunotherapy for non-small cell lung cancer by Xuyan Lan, Xiaoyu Sun, Ruiqi Chen, Lihuan Zhu, Xiaojie Pan, Xiaojie Pan, Tianxing Guo, Tianxing Guo

“…Univariate Cox regression analysis identified pathological TNM stage, vascular invasion, pathological response, and 14-gene molecular risk stratification as significant factors influencing DFS (all P &lt; 0.05). …”
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The Growth of Plankton Model with Toxin———From the Perspective of Heterosigma Akashiwo by YANG Hong, LI Chengyu

“…In order to study the growth of phytoplankton in a toxic plankton model，we first take take the harmful algal bloom species，Heterosigma akashiwo，as an example and establish a multiple regression model between its growth rate and three influencing factors: temperature ，salinity ，and light intensity based on relevant literature data. …”
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Hubungan Kebiasaan Hidup Bersih dan Kondisi Lingkungan Rumah Terhadap Risiko ISPA: Studi Kasus Pada Masyarakat Pemukiman Lahan Basah di Kecamatan Seberang Ulu II by Widya Ayu Pratiningsih, Rieke Rahma Dwinda, Marsha Cahya Nadira Adham, Irren Jetty Nuranisa, Dwi Cahyani Rahma Dhini, Khafifah Hazriati Repalia, Dinda Octaviani, Inoy Trisnaini, Dini Arista Putri, Adelia Kesuma Wardhani

“…This quantitative study employed a cross-sectional design and involved 100 purposively selected respondents in Seberang Ulu II District, Palembang City. Data were analyzed using chi-square tests for bivariate analysis and logistic regression for multivariate analysis. …”
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Job characteristics model-based study of the intrinsic motivations for primary care practitioners by Shichao Zhao, Jing Ping, Hong Zhu, Wanting Ji, Yuyan Wang, Ying Wang

“…Multiple linear regression was employed to assess the impact of these factors on job performance. …”
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Lipid accumulation product and visceral adiposity index as independent predictors of long-term survival after gastric cancer immunotherapy by Yuyang Wang, Yi Li, Yusheng Guo, Shanshan Jiang, Jie Lou, Bingxin Gong, Zhiying Li, Lian Yang, Guofeng Zhou

“…Multivariate Cox regression analysis confirmed that high LAP (PFS: HR: 0.403, 95% CI: 0.233– 0.698, P = 0.001; OS: HR: 0.287, 95% CI: 0.153–0.541, P < 0.001) and high VAI (PFS: HR: 0.370, 95% CI: 0.214–0.642, P < 0.001; OS: HR: 0.300, 95% CI: 0.164–0.548, P < 0.001) were independent protective factors for both PFS and OS. …”
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Leveraging computational linguistics and machine learning for detection of ultra-high risk of mental health disorders in youths by Jordon Junyang Kho, Shangzheng Song, Samuel Ming Xuan Tan, Nur Hikmah Fitriyah, Matheus Calvin Lokadjaja, Jie Yin Yee, Zixu Yang, Eric Yu Hai Chen, Jimmy Lee, Wilson Wen Bin Goh

“…Factor analysis revealed five key linguistic themes: Sentiment Intensity and Variability, Linguistic Register Alignment, Phonographic Uniqueness and Recognizability, Morphological Complexity and Imageability, and Lexical Richness and Typicalness. …”
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