Intrauterine inflammation exposure may increase the risk of late-onset sepsis in premature infants: a retrospective cohort study by Xiafang Chen, XinYu Zhang, Ru Xue, Lanlan Mi, Ye Liu, Guoqing Zhang, Jun Bu, Fei Bei

“…Levels of 12 cytokines, including interleukin-1β (IL-1β), IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12p70, IL-17, tumor necrosis factor-α (TNF-α), interferon-α (IFN-α), and IFN-γ, were measured in cord blood using multiplex bead-based flow immunoassays. …”
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Measurement of myocardial blood flow in atrial fibrillation using high-resolution, free-breathing in-line quantitative cardiovascular magnetic resonance by Richard J. Crawley, Karl-Philipp Kunze, Anmol Kaushal, Xenios Milidonis, Jack Highton, Blanca Domenech-Ximenos, Irum D. Kotadia, Can Karamanli, Nathan C.K. Wong, Robbie Murphy, Ebraham Alskaf, Radhouene Neji, Mark O’Neill, Steven E. Williams, Cian M. Scannell, Sven Plein, Amedeo Chiribiri

“…No significant difference was seen between the two groups at rest (p=0.451). When considering co-factors affecting MBF, multivariate linear regression analysis identified the presence of AF as a significant independent contributor to stress MBF and MPR values. …”
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Establishment and Validation of a Machine‐Learning Prediction Nomogram Based on Lymphocyte Subtyping for Intra‐Abdominal Candidiasis in Septic Patients by Jiahui Zhang, Wei Cheng, Dongkai Li, Guoyu Zhao, Xianli Lei, Na Cui

“…A machine‐learning random forest model was used to select important variables, and multivariate logistic regression was used to analyze the factors influencing IAC. …”
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Effects of neuroticism on suicide risk in major depressive disorder and bipolar disorder by Yujie Xing, Yujie Xing, Tian Li, Tian Li, Zhen Mao, Zhen Mao, Lei Zhao, Lei Zhao, Yue Sun, Yue Sun, Qitong Jiang, Qitong Jiang, Chuanyue Wang, Chuanyue Wang, Qijing Bo, Qijing Bo

“…Group differences were assessed using t-tests, chi-square tests, and Mann-Whitney U tests. To identify factors associated with suicide risk, correlation analysis was first conducted, followed by bivariate and generalized ordered logistic regression for significant variables, including neuroticism. …”
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Estimating vegetation aboveground biomass in Yellow River Delta coastal wetlands using Sentinel-1, Sentinel-2 and Landsat-8 imagery by Yiming Xu, Yunmeng Qin, Bin Li, Jiahan Li

“…The AGB model based on S1, S2, L8 and other predictive variables including the terrain and biophysical factors (S1S2L8plus) achieved the highest model performance (R2: 0.80, RMSE: 154.98 g/m2) among all the models. …”
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Role of Artificial Intelligence and Deep Learning in Easier Skin Cancer Detection through Antioxidants Present in Food by Sreevidya R. C., Jalaja G, Sajitha N, D. Lakshmi Padmaja, S. Nagaprasad, Kumud Pant, Yekula Prasanna Kumar

“…After that, a linear regression analysis was carried out to obtain t and p values. …”
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Pesticide exposure, health impacts, predeterminism, and health insurance demand among Pakistani farmers: Implications for policy by Muhammad Arshad, Yasir Mehmood, Sreejith Aravindakshan, Ayat Ullah, Stefan Sieber, Timothy Joseph Krupnik

“…We employed a novel approach integrating count data models with contingent valuation to analyze the health impacts of pesticide use and influence of socioeconomic factors, particularly religious predeterminism and public trust, on health insurance demand among farmers in rural Pakistan. …”
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Antibiotic Consumption Patterns in Urban Coari, Amazonas: High Azithromycin Use and COVID-19-Related Prescriptions by Rodrigo Silva Marcelino, Edivã Bernardo da Silva, Abel Santiago Muri Gama, Ananias Facundes Guimarães, Silvia Regina Secoli, Albert Figueras

“…Poisson regression was used to estimate prevalence ratios and identify factors associated with antibiotic use. …”
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Dynamic Neutrophil-to-Lymphocyte Ratio at 3-4 weeks of Intensity-Modulated Radiotherapy Combined with Normal Liver Volume Predicts Radiation-Induced Hepatic Toxicity in Hepatocellu... by Chen L, Li J, Wang X, Chen S, Wu Y, Li J, Liang S

“…The prognostic significant factors were assessed through logistic regression analyses. …”
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Evaluación del rol del equipo de coordinación de nefrología en la consulta externa específica de acceso vascular. ¿Qué podemos aportar de nuevo? by Néstor Fontseré, Gaspar Mestres, Xavi Yugueros, Daniel Gil, Carla Blanco, Valentín Lozano, Lidia María Rodas, Arantxa Gelabert, Paula Escarcena, Rosa Ramos, Francisco Maduell

“…We compared the differences in the preoperative variables between the groups in which the assessments between the two teams were coincident and non-coincident, and the primary (PP) and secondary (PS) patencies during the follow-up period (Kapplan-Meier curves and Log-rank test, and Cox regression analysis). Significant P≤.05. Results: A total of 605 VA creations or repairs were analyzed: 74 ligations (12.2%), 207 distal arterio-venous fistulaes (AVF) (34.3%), 237 proximal AVF (39.2%), 35 repairs (5.7%), 41 grafts (6.7%) and 11 others (1.9%). …”
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Evaluating perineural invasion severity in head and neck cutaneous squamous cell carcinomas to refine prognostic accuracy: A retrospective case-control study by Filippo Nozzoli, Silvia Mancini, Andrea Ambrosini-Spaltro, Emilia Crisanti, Luca Riccioni, Giovanni De Luca, Annarita Lombardi, Fabio Falcini, Rosa Vattiato, Federica Zamagni, Lorenzo Borgognoni, Serena Sestini, Vincenzo De Giorgi, Laura Doni, Ismaela Vascotto, Angelo Cassisa, Chiara Anichini, Romina Nassini, Pierangelo Geppetti, Emanuele Crocetti, Ignazio Stanganelli, Daniela Massi

“…Prognostic correlations were then analyzed by Cox proportional hazards regression model. …”
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Analysis of immune status and prognostic model incorporating lactate metabolism and immune-related genes in clear cell renal cell carcinoma by Jun Wu, Yuqian Wu, Yefeng Sun, Jianhang You, Wenjie Zhang, Tao Zhao

“…Non-negative matrix factorization (NMF) was used to subtype ccRCC samples. …”
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High prevalence of low bone mineral density in middle-aged adults in Shanghai: a cross-sectional study by Qian Chen, Dan Liu, Xuefei Li, Fangfang Li, Suxia Guo, Shiyun Wang, Weina Yuan, Pinghua Chen, Pan Li, Fangyu Li, Changwei Zhao, Wen Min, Zhijun Hu

“…Mann-Whitney U and Chi-square test were used to compare sex, age and body mass index at different stages of bone mass, and Pearson test was used to conduct correlation analysis. Logistic regression was used to analyze the influencing factors. …”
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Neuroprotective effects of healthful plant-based diets on retinal structure: insights from a large cohort by Qian Zhu, Xiaoxin Liu, Yuan Qu, Yan Jiang, Xinyi Liu, Yu Xiao, Kangjia Lv, Yupeng Xu, Kun Liu

“…Multivariable linear regression models adjusted for demographics, ophthalmic measurements, and lifestyle factors were employed to examine associations. …”
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Association between life satisfaction and fall severity among hospitalized stroke patients by Xuhui Li, Qingfang Zhang, Jie Yan, Yulong Wang, Jianjun Long, Xing Lv, Miaoling Chen, Wensheng Chen

“…Standardized face-to-face interviews were conducted to collect data on fall experiences within the past three months, severity of fall-related injuries, life satisfaction, and other demographic and clinical characteristics. Logistic regression models were used to analyze the relationships between fall experiences, injury severity, and life satisfaction. …”
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ACO-NM hybrid optimization calculation method for transit time of oxygen activation logging in CO2 injection profile by WANG Zhengyan, CHEN Meng, YANG Guofeng, LIU Guoquan, PEI Yang, CHEN Qiang

“…However, activation spectrum peaks in CO2 injection often exhibit single-peak tailing and double-peak overlapping, influenced by statistical fluctuations in activated gamma-ray count rates, fluid properties, multi-layer string structure, and other factors. As a result, accurately determining the transit time of activation spectra and evaluating the amount of CO2 uptake in each small layer becomes challenging.To minimize errors in transit time calculation caused by overlapping peak separation and activation peak boundary selection, the morphological characteristics of activation peaks under varying influences were analyzed meticulously. …”
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Feasibility of extracting specimens from the site of preventive ileostomy and its impact on stoma retraction of laparoscopic low anterior resection for rectal cancer by Bai Junge, Wang Zhexue, Yang Ming, Ma Xiaolong, Liu Zheng, Chen Haipeng

“…Compared with the non-ileostomy site extraction group, the interval time of the ileostomy site extraction group from surgery to ileostomy closure was shorter [217 (147.5，289.5) min vs. 256.5 (193.8，371.0) min, Z＝-3.595, P<0.001], the surgical time was shorter [（80.8±25.3）min vs. （95.7±30.4）min，t＝14.902，P<0.001], and the intraoperative blood loss was less [20(10，20) mL vs. 30(20，50) mL，Z＝-4.927，P<0.001]. Optimal scale regression analysis showed that the site of specimen collection (P＝0.014), neoadjuvant chemotherapy (P＝0.037), adjuvant chemotherapy (P＝0.044), and postoperative complications (P＝0.018) were independent factors affecting the interval time of ileostomy closure. …”
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Effect of Age, Sex and Season on Acute Myeloid Leukemia Clinical Characteristics: A Retrospective Study by Wan X, Tao T, Zhang J, Li N, Gou Y, Yang W, Han X, Wu S, Zhang C, Peng X, Liu S, Zhang X

“…Mann–Whitney U-tests and Kruskal–Wallis H-tests were employed to compare mean values across two and multiple groups respectively, when data did not show normal distribution. Logistic regression was used to analyze the correlation between dependent and independent variables. …”
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Information management systems in the systematization of indicators for assessing the effectiveness of investment processes in the securities market by Yuliia Kovalenko, Tetyana Bilovus, Valentyna Unynets-Khodakivska, Sofiia Dombrovska, Anatolii Faizov, Viktoriia Baranova

“…The results obtained using statistical inference methods indicate a high impact of both external macroeconomic factors that inhibit the development of the securities market and internal, which in turn is reflected in the indicators of assessing the effectiveness of investment processes in the securities market.…”
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Production Capacity Prediction for Tight Gas Reservoirs Based on ADASVRLGBM by MENG Sihai, ZHANG Zhansong, GUO Jianhong, HAN Zihao, ZENG Weijie, LYU Hengyang

“…The integrated model systematically analyzes the correlation of factors influencing tight gas production, extracts key feature parameters, and builds a predictive model with gas well production capacity as the output label. …”
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