Dynamics of HDL-Cholesterol Following a Post-Myocardial Infarction Cardiac Rehabilitation Program by Carlos Bertolín-Boronat, Héctor Merenciano-González, Víctor Marcos-Garcés, María Luz Martínez-Mas, Josefa Inés Climent Alberola, Nerea Pérez, Laura López-Bueno, María Concepción Esteban-Argente, María Valls Reig, Ana Arizón Benito, Alfonso Payá Rubio, César Ríos-Navarro, Elena de Dios, Jose Gavara, Juan Sanchis, Vicente Bodi

“…Changes in lipid profiles were evaluated, and predictors of failure to increase HDL-C levels were identified by binary logistic regression analysis. …”
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The aggregate index of systemic inflammation (AISI) and the risk of all-cause, cardiovascular, and cardio-cerebrovascular mortality in congestive heart failure patients: results fr... by Xiaofang Bai, Lele Cheng, Huan Wang, Yangyang Deng, Xiaoning Tong, Wen Wen, Xiaojun Liu, Juan Zhou, Zuyi Yuan

“…Additionally, restricted cubic spline analysis indicated a nonlinear association between AISI and all-cause mortality (P = 0.0064), with an inflection point at AISI 8.66. …”
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Therapeutic effects of children with refractory epilepsy after vagus nerve stimulation in Taiwan by Sung-Tse Li, Nan-Chang Chiu, Kun-Long Hung, Che-Sheng Ho, Yung-Ting Kuo, Wen-Hsiang Wu, Chuan-Yu Wang, Yung-Ting Kuo, Huei-Shyong Wang, Kuang-Lin Lin, Po-Cheng Hung, Ying-Chao Chang, Pi-Lien Hung, Pi-Chuan Fan, Wang-Tso Lee, Rei-Cheng Yang, Fang-Jong Ko, Lung-Chang Lin, Po-Ching Chou, Jeng-Dau Tsai, Kun-Long Hung, Hui-Ju Chen, Kai-Ping Chang, Ting-Rong Hsu, Che-Sheng Ho, Nan-Chang Chiu, Shyi-Jou Chen, Hueng-Chuen Fan, Hsu-Tung Lee, Ein-Yiao Shen, Huang-Tsung Kuo, Ming-Yuh Chang, Tung-Ming Chang, Sung-Tse Li, Geng-Chang Yeh

“…This study aimed to use Taiwanese nationwide registry data to analyze the therapeutic effects of VNS in children with refractory epilepsy (RE) and try to explore predictive factors of VNS treatment effectiveness. …”
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Prognostic Nutritional Index and a Blood-Based Prognostic Tool in Prostate Cancer Treated with Abiraterone, Enzalutamide or Cabazitaxel by Hakan Taban, Mustafa Erman, Deniz Can Guven, Burak Yasin Aktas, Feride Yilmaz, Serkan Yaşar, Hasan Cagri Yildirim, Ferit Aslan, Sercan Aksoy

“…Survival outcomes were analyzed using Kaplan–Meier and Cox regression methods. …”
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The Algorithm to Automatically Extract Body Sizes and Shapes by Mong Hien Thi Nguyen, Tuong Quan Vo, Mai Huong Bui, Van Anh Pham

“…The methods used in this research include factor analysis, linear regression equation, cluster analysis, and discriminant analysis. …”
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Development of a nomogram for predicting renal survival in patients with biopsy-proven diabetic nephropathy by Zishan Lin, Zishan Lin, Zishan Lin, Tao Hong, Tao Hong, Tao Hong, Wenfeng Wang, Wenfeng Wang, Wenfeng Wang, Shidong Xie, Shidong Xie, Shidong Xie, Xiaohong Zhang, Xiaohong Zhang, Xiaohong Zhang, Xuan Tao, Feng Yang, Caiming Chen, Caiming Chen, Caiming Chen, Dewen Jiang, Dewen Jiang, Dewen Jiang, Jianxin Wan, Jianxin Wan, Jianxin Wan, Hong Chen, Yanfang Xu, Yanfang Xu, Yanfang Xu

“…Key predictive variables were identified using multivariate Cox regression analysis, and a visual predictive nomogram was developed. …”
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The impact of artificial intelligence-driven ESG performance on sustainable development of central state-owned enterprises listed companies by Yuping Xiao, Li Xiao

“…The results indicate that respondents positively assess central state-owned enterprises in terms of corporate governance, environmental protection, and social responsibility, with particularly strong performance in social responsibility. Additionally, a regression analysis model is constructed. The results demonstrate that AI technology can enhance the practices and foster the sustainable development of central state-owned enterprises. …”
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KONTRIBUTOR KINERJA PEMASARAN DARI ASPEK REWARD, INDIVIDU DAN KREATIFITAS STRATEGI PEMASARAN by Hendro Tanoko

“…Structural Equation Model (SEM) is used  as data analysis technique with the combination of factor analysis and multiple regression analysis. …”
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Socio-demographic and economic profile of households with catastrophic health expenditures in Muanda, Boma and Matadi in 2022: a household cross-sectional study by Bijou Masokolo, Marie Claire Muyer, Marcelo Kalonji, Branly Mbunga, Landry Egbende, Steve Botomba, Fulbert Kwilu

“…Binary logistic regressions were performed respectively at the 10% and 25% thresholds of income. …”
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The prognostic power of major pathological response in esophageal squamous cell carcinoma patients undergoing neoadjuvant chemoimmunotherapy: a multi-center cohort study by Shuhan Xie, Shuhan Xie, Shuhan Xie, Shuhan Xie, Shijie Huang, Zilu Tang, Hai Zhang, Jinxin Xu, Sunkui Ke, Jinbiao Xie, Rongyu Xu, Ying Chen, Zhinuan Hong, Zhinuan Hong, Zhinuan Hong, Zhinuan Hong, Mingqiang Kang, Mingqiang Kang, Mingqiang Kang, Mingqiang Kang

“…Cox regression analysis identified MPR as an independent prognostic factor [HR = 0.48, 95%CI= (0.28 - 0.82), P = 0.007]. …”
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Enhancing Humanitarian Supply Chain Resilience: Evaluating Artificial Intelligence and Big Data Analytics in Two Nations by Emmanuel Ahatsi, Oludolapo Akanni Olanrewaju

“…Structured questionnaires assessed the implementation of four key AI-BDA techniques: Time-Series Forecasting (TSF), Early Warning Systems (EWS), Logistics Optimization (LO), and Real-time Monitoring (RTM). Exploratory factor analysis and regression analysis were conducted to evaluate the relationship between these techniques and supply chain resilience, controlling for organizational size and technological readiness. …”
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Myeloid Zinc Finger 1: insights into its oncogenic potential, prognostic value, and impact on immune microenvironment across cancers by Wenze Tian, Chun Yu, Xin Xu, Jiaqi Li, Shuangfu Peng, Aijun Sun, Shasha Zhang, Chao Jiang

“…A univariate Cox regression analysis was performed to evaluate MZF1’s prognostic value. …”
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Tumor aggression-defense index–a novel indicator to predicts recurrence and survival in stage II-III colorectal cancer by Tong Wu, Lin Fang, Yuli Ruan, Mengde Shi, Dan Su, Yue Ma, Ming Ma, Bojun Wang, Yuanyu Liao, Shuling Han, Xiaolin Lu, Chunhui Zhang, Chao Liu, Yanqiao Zhang

“…The Tumor Aggression-Defense Index (TADI) was derived through a multi-factor COX regression model. Subgroup analysis demonstrated potential of TADI in guiding personalized adjuvant therapy for stage II and III CRC. …”
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Identification of a coagulation-related classification and signature that predict disease heterogeneity for colorectal cancer and pan-cancer patients by Junpeng Pei, Junpeng Pei, Yuye Gao, Yuye Gao, Baojian Xing, Yongjiu Chen, Yongjiu Chen, Aiwen Wu, Aiwen Wu

“…This research identified coagulation-related subtypes (CRSs) and evaluated a coagulation-related risk score for its prognostic value in CRC.MethodsCRC dataset from The Cancer Genome Atlas was analyzed to identify CRSs using nonnegative matrix factorization, which was validated across GSE39582 and pan-cancer datasets. …”
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Predicting microvascular invasion in solitary hepatocellular carcinoma: a multi-center study integrating clinical, MRI assessments, and radiomics indicators by Wang Jian, Lin Zhan, Lin Zhaowang, Yang Ling, Yu Min, Yu Min, Xie Rong, Xie Rong, Lin Wanxing, Yang Yongfei, Tu Haibin

“…Model performance was assessed through ROC curves, calibration curves, and decision curve analysis (DCA). Lasso regression identified significant features, and SHAP analysis interpreted the model predictions.ResultsA total of 319 patients were analyzed: 199 from the internal center, 67 from Nanping, and 53 from Datian. …”
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Relationship Between Career Adaptability and Job Crafting by Mariana de Almeida Klotz Teixeira, Milena Miyuki Hiratuca Ujihara, Rita Pimenta de Devotto, Clarissa Pinto Pizarro de Freitas, Jaqueline de Carvalho Rodrigues

“…Two hundred and ninety-nine employees participated by completing a socio-demographic questionnaire, the Career Adaptability Scale, and the Job Crafting Scale. Network analysis and regression revealed a strong relationship between worry, control, curiosity, trust, relational crafting, task crafting, and cognitive crafting. …”
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Association of Conventional and Unconventional Lipid Profiles with Visceral Fat Area in Overweight/Obese Individuals with Type 2 Diabetes Mellitus by Ma X, Jiang X, Gao G, Ban B, Sheng J, Shi S, Zhao H, Ji B

“…Logistic regression identified RC as an independent risk factor for VFO (OR: 1.667, 95% CI: 1.216– 2.285, P = 0.001).Conclusion: Among lipid profiles, RC is independently and significantly associated with VFO, underscoring its role in lipid metabolism and abdominal obesity management, especially in overweight/obese T2DM patients.Keywords: remnant cholesterol, type 2 diabetes mellitus, unconventional lipid profiles, visceral fat area, visceral fat obesity…”
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Prognostic Value of Apolipoprotein E in Predicting One-year Mortality in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease by Li Y, Wu Q, Li Z, Xiao Y, Wei L

“…The co-relation between the concentration of ApoE and one year risk of all-cause mortality was analyzed by univariate, multivariate Cox regression and Subgroup analysis. …”
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Inteligencia emocional y motivación en educación física en secundaria (Emotional Intelligence and Motivation in Secondary Physical Education) by Elisa Cera Castillo, Bartolomé Almagro, Cristina Conde García, Pedro Sáenz-López Buñuel

“…The three dimensions of emotional intelligence (Attention, Clarity, and Mood Repair) correlated with perceived motivational climate, with some psychological needs and the different forms of motivation, although with a low correlation coefficient. The regression analysis showed that emotional clarity predicted positively the introjected regulation. …”
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Management Control System and Financial Performance of Micro Finance Institutions in Central Region Uganda by Arthur, Sunday, Caleb, Tamwesigire, Caroline Masiko, Murezi, George Stanley, Kinyata, Godfrey, Barigye, Keneth, Nuwagira, Moses, Agaba

“…Structural Equations Modeling with Analysis of Moment Structures were used to for statistical modeling Besides, Hierarchical regression was used to test the predictive power of the variables and indicate precisely what happens to the model as different predictor variables are introduced in the model fit. …”
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