Prediction Model for Familial Aggregated HBV‐Associated Hepatocellular Carcinoma Based on Serum Biomarkers by Linmei Zhong, Guole Nie, Qiaoping Wu, Honglong Zhang, Haiping Wang, Jun Yan

“…Univariate and multivariate logistic regression (LR) analysis showed that hemoglobin (Hb), neutrophil percentage (NP), total protein (TP), glutamyl transpeptidase (GGT), alglucosidase alfa (AFU), aspartate aminotransferase (AST) to Alanine aminotransferase (ALT) ratio (AAR), and alpha‐fetoprotein (AFP) were identified to be independent risk factors for HBV‐associated HCC. …”
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From vulnerability to viability: Climate-Smart agriculture as drivers of productivity and food security in Nigerian maize-based farming households by Adetomiwa Kolapo, Stefan Sieber

“…Data on CSA adoption, productivity, and food security (Household Dietary Diversity Score (HDDS), Household Food Insecurity Access Scale (HFIAS) score, and Household Food Insecurity Access Prevalence (HFIAP) were collected via structured questionnaires and analyzed using descriptive statistics, Multinomial Endogenous Switching Regression (MESRM), Tobit regression, and Propensity Score Matching (PSM). …”
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Maternal red blood cell folate and vitamin B metabolism with pregnancy outcomes: a retrospective study by Limin Peng, Yan Gao, Chengkun Yuan, Hongying Kuang

“…Vitamin B markers during pregnancy, including red blood cell (RBC) and plasma levels of folate (5MTHF), Vitamin B2 (VB2), and Vitamin B6 (VB6), as well as methylmalonic acid (MMA) and homocysteine (HCY), were analyzed. LASSO regression was used for feature selection, followed by logistic regression to develop a predictive model. …”
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Linking physical aspects to interpersonal competence in Filipino young adults by Aries Pasno

“…Participants completed an online survey using three validated instruments: the Interpersonal Competence Questionnaire-15 (ICQ-15), the International Physical Activity Questionnaire (IPAQ), and the Self-Perception of Physical Fitness Scale. Data were analyzed using multiple linear regression in SPSS version 30. …”
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The dual impact of physical exercise on depression and fall risk in older Chinese adults — evidence from CHARLS 2020 by Wenhui Yuan, Jinghang Cui

“…This study investigates the interrelationships among physical exercise, depression, and fall risk using data from the 2020 wave of the China Health and Retirement Longitudinal Study (CHARLS).MethodsWe analyzed a sample of 3,694 older adults. An ordinary least squares regression model was employed to assess the impact of physical exercise on depression, while a logistic regression model was used to examine the effect on fall risk. …”
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Laser-induced Breakdown Spectroscopy of Ice-regolith Mixtures: Implications for Measurements on Planetary Surfaces by Frédéric Diotte, Myriam Lemelin, François R. Doucet, Lütfü Ç. Özcan

“…We find that the primary factor influencing hydrogen emission is enhanced laser coupling with larger grains in wet or ice-cemented regolith due to increased cohesion. …”
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INBRX-106: a hexavalent OX40 agonist that drives superior antitumor responses via optimized receptor clustering by William L Redmond, Yoshinobu Koguchi, Melissa J Kasiewicz, Annah S Rolig, Nisha Holay, Bryan Becklund, Anya Polovina, Sae Jeong Ahn, Brendan P Eckelman, Rashi Yadav, Thi Staebler, Noah D Simons, Yaiza Diaz de Durana

“…Costimulatory agonists like OX40 (CD134), a tumor necrosis factor receptor family member critical for T-cell survival and differentiation, have shown preclinical promise but limited clinical success due to suboptimal receptor activation. …”
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The influence of dietary choices: investigation of the relationship dietary inflammatory index and fetal growth restriction by Ayşe Gülçin Baştemur, İclal Sena Gezer, Burcu Kesikli, Atakan Tanaçan, Özgür Kara, Nuray Yazıhan, Dilek Şahin

“…The study aimed to investigate the correlation between maternal DII, total oxidant status (TOS), total antioxidant status (TAS), interleukin-6 (IL-6), interleukin-10 (IL-10), and tumor necrosis factor-alpha (TNF-α) levels in FGR-diagnosed pregnant women. …”
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ANALISIS FINANSIAL USAHA KERAMBA JARING APUNG DI PERUSAHAAN PERSEORANGAN DOBRO by Dony Suryanto, Eko Sumartono

“…The production factors analysis in this research uses regression method with Cobb-Douglas production function approach. …”
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Development of a prediction model for acute respiratory distress syndrome in ICU patients with acute pancreatitis based on machine learning algorithms by REN Xia*，LIU Luojie，ZHA Junjie，YE Ye，XU Xiaodan，YE Hongwei，ZHANG Yan

“…The calibration curve indicated that the predicted probabilities from the RF model had the smaller deviation from the actual probabilities compared to other models，showing the best overall predictive performance. SHAP analysis based on the RF model revealed that mechanical ventilation，sequential organ failure assessment（SOFA）score，body mass index（BMI），peripheral oxygen saturation（SpO2）and simplified acute physiology score（SAPS Ⅱ）were the main factors influencing ARDS risk. …”
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THE INFLUENCE OF WORKLOAD ON EMPLOYEE PERFORMANCE AT CLASS IIA LUBUKLINGGAU PENITENTIARY by Dito Febrioylas, Padmono Wibowo

“…The data from the questionnaire obtained was then analyzed by descriptive analysis test through simple linear regression analysis, determination test, and significance test using the IBM SPSS Statistics 25 application. …”
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INNOVATIVE BUSINESS DEVELOPMENT. STATISTICAL INFERENCE OF SIX SIGMA by DENIS ANATOL’EVICH Zhevnov

“…Thispaper demonstrates by using clear examples how it’s possible to increase the effectiveness of management decisions in process optimization by means of statistical inference.Statistical inference of Six Sigma is based on applying methods of parametric and nonparametric statistics which make it possible to check hypotheses about influence of different factors on output process parameters.Such methods are regression analysis, analysis of variance, comparison of centers and scatters of statistic sample, appraisal of 2.The result of statistical inference of Six Sigma application is definition of true reasons of process defects.It enables to focus on removal of key problems and achieve the utmost result without wasting limited resources.Six Sigma methodology has a complex set of tools for quality improvement and variety reduction. …”
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Pathology of Hepatocellular Carcinoma and Tumor-Bearing Liver Tissue in Association with hTERT Promoter Mutation by Anne Kristin Fischer, Alexander Semaan, Anna-Lena Wulf, Christian Vokuhl, Diane Goltz, Hans-Peter Fischer

“…Nevertheless, 25% of the hTERT-promoter-mutated HCC developed in normal liver tissue without HCC risk factors. Multivariate Cox regression analysis did not reveal an influence of the hTERT promoter mutation in HCC on overall survival at 3, 5, and 16 years. …”
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Non-linear association between the dietary index for gut microbiota and the atherogenic index of plasma: insights from a cross-sectional study by Tian-Ding Liu, Yang-Yang Zheng, Jin-Ying Zhang

“…However, studies exploring the association between DI-GM and AIP remain limited.MethodsData from the 2007–2020 National Health and Nutrition Examination Survey (NHANES) were analyzed, including 15,471 participants. Weighted multivariate linear regression models were employed to evaluate the linear association between DI-GM and AIP, while restricted cubic splines (RCS) were used to assess potential nonlinear relationships.ResultsAfter adjusting for confounding factors, multivariate linear regression analysis demonstrated a significant negative correlation between DI-GM levels and AIP. …”
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Postoperative pneumonia in patients with non-small cell lung cancer undergoing thoracoscopic surgery: What should we care about? by Jinzhi You, Dandan Chen, Xiang Liu, Hailing Zhang, Zhongfeng Zheng

“…The characteristics of patients with and without postoperative pneumonia were analyzed. A logistic regression model was employed to analyze the influencing factors of postoperative pneumonia, and a corresponding predictive model was constructed. …”
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Association between carotid plaque calcification and clinical outcomes of symptomatic cerebral small vessel disease by Jing Zhang, Jing Zhang, Shuo Zhao, Shuo Zhao, Shuo Zhao, Xunyao Hou, Xunyao Hou, Xinyao Wang, Xinyao Wang, Yunliang Guo, Yunliang Guo, Ximing Wang

“…The presence and characteristics of carotid calcification (including size, number and location), carotid plaque burden and CSVD markers were analyzed. Logistic regression analysis was used to explore associations between carotid calcification and CSVD outcomes. …”
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Social and equity considerations in technology transfer and sustainable development: A policy implication for low & lower-middle-income countries by Muhammad Wasif Hanif, Mushtaque Ahmed Laghari, You Hua Chen, Muhammad Zahid

“…This method uses precise weights to represent many factors of economic growth. Using a broad dataset spanning 2002–2019 and including 128 nations, this study adopts a generalized method of moment regression framework to analyze the quadratic link between energy renewal and the economic progress gap. …”
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The social aspect of water resources management in the Lake Chad Basin: A new construct for water resources management. by Nodjidoumde Mbaigoto, Kamal A Alsharif, Shawn Landry, Tara F Deubel

“…A household survey of 582 participants was conducted using purposive sampling, and data were analyzed through chi-square tests, logistic regression, and univariate analysis. …”
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Impact of preoperative self‐expandable metal stent on benign hepaticojejunostomy anastomotic stricture after pancreaticoduodenectomy by Takafumi Mie, Takashi Sasaki, Kosuke Kobayashi, Tsuyoshi Takeda, Takeshi Okamoto, Akiyoshi Kasuga, Yosuke Inoue, Yu Takahashi, Akio Saiura, Naoki Sasahira

“…Risk factors for benign HJAS were identified using univariate and multivariate logistic regression analysis. …”
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The Relationship between Calcium-phosphorus Metabolism Disorder and Cognitive Impairment in Maintenance Hemodialysis Patients by Geng Ming-hui, Li Yu-yan, Tao Mi, Liao Wen-wen, He Yi-qing, Gao Ping

“…Correlations between MoCA scores and calcium and phosphorus metabolic variables were analyzed by Spearman's method. Logistic regression was utilized for examining the influencing factors of the occurrence of MHD-MCI. …”
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