Association between polyunsaturated fatty acids intake and serum neurofilament light chain concentrations in American adults: a cross-sectional study by Yuxuan Wang, Jingyi Wang, Lifeng Wang

“…Restricted cubic spline (RCS) models were used to assess potential non-linear relationships. …”
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AI-enhanced patient-specific dosimetry in I-131 planar imaging with a single oblique view by Mostafa Jalilifar, Mahdi Sadeghi, Alireza Emami-Ardekani, Ahmad Bitarafan-Rajabi, Kouhyar Geravand, Parham Geramifar

“…Four AI algorithms- multilayer perceptron (MLP), linear regression, support vector regression model, decision tree, convolution neural network, and U-Net were used for dose estimation. …”
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Association between visceral adiposity index and hyperuricemia and gout among US adults: a cross-sectional analysis of NHANES 2007–2018 by Mingjie Tang, Yinghong Li, Zhaoming Chen, Jingqi Yang

“…Visceral adiposity was evaluated using the VAI score, HUA was determined by serum uric acid concentrations, and gout was diagnosed by pertinent questionnaires. Logistic regression models were employed to investigate the relationship between VAI and the prevalence of HUA and gout. …”
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Using mobile phones to promote maternal and child health: knowledge and attitudes of primary health care providers in southwest Nigeria by Mobolanle R Balogun, Godfred O Boateng, Yenupini J Adams, Bukola Ransome-Kuti, Adekemi Sekoni, Ellis A Adams

“…Data were analyzed using descriptive and multivariable linear and logistic regression models. # Results Our study showed that smartphone ownership is not a predictor of high mHealth knowledge; however, having an internet-enabled smart phone was a strong predictor of higher knowledge of mHealth (regression coefficient, ß=1.20, 95% confidence interval, CI=0.61-1.79) among primary health care providers. …”
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The impact of central sensitization on perioperative pain in TKA: a retrospective cohort study by Tatsuru Sonobe, Takuya Nikaido, Miho Sekiguchi, Yoichi Kaneuchi, Tadashi Kikuchi, Yoshihiro Matsumoto

“…Methods A retrospective cohort study of 66 patients who underwent bilateral TKA for bilateral severe KOA was conducted. Multiple linear regression models that included covariates and scaled estimated regression coefficients were used to examine the impact of CS on the patients’ pre- and post-operative pain subscale values on the Knee Injury and Osteoarthritis Outcome Score (KOOS) and the improvement of KOOS pain. …”
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Experimental and machine learning-driven assessment of IS 2062 steel under double-base propellant combustion conditions by Hari Singh, Dola Sundeep, C. Chandrasekhara Sastry, Eswaramoorthy K Varadharaj

“…This study contributes to improving material selection, structural design, and predictive modeling for defence propulsion systems.…”
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Low climate-patterned temperature and cardiovascular disease: Worldwide trends and implications for public health policy by Wenpeng You, Jacob Sevastidis, Frank Donnelly

“…This relationship remained significant after controlling for confounders in a partial correlation model (r = −0.584, p < 0.001). Multiple linear regression showed TMP as a significant and independent predictor of CVD incidence (Beta = −0.384, p < 0.001). …”
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Factors Associated with Resilience and Job Satisfaction among a Sample of United States Frontline Healthcare Workers During the COVID-19 Pandemic: Considering Job Demands, Resource... by David TATAW, Sandra SPATARO, Nana Arthur-MENSAH, Julie LASLEY, Deborah PATTEN, Ujjalla PATEL, Robyn HAMPTON

“…Data was analysed using linear regression models, multiple regression models, and analysis of variance (ANOVA). …”
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Associations between cardiometabolic indices and heart disease among elderly and middle-aged Chinese individuals: a retrospective longitudinal study by Ya Li, Li Jiao, Wei Chen, Xue-Feng Ni, Wen Zhang, Shu-Yang Zhang

“…The Kruskal‒Wallis H test and Cox regression analysis were performed. Longitudinal/panel data mixed-effects linear regression models were applied to analyze the relationships between the CMI and nonspecific inflammatory markers. …”
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Comparative Study of Machine Learning Techniques for Predicting UCS Values Using Basic Soil Index Parameters in Pavement Construction by Mudhaffer Alqudah, Haitham Saleh, Hakan Yasarer, Ahmed Al-Ostaz, Yacoub Najjar

“…This dataset served to train various models to estimate the UCS from basic soil parameters. …”
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Biomarkers representing key aging-related biological pathways are associated with subclinical atherosclerosis and all-cause mortality: The Framingham Study. by Cecilia Castro-Diehl, Rachel Ehrbar, Vanesa Obas, Albin Oh, Ramachandran S Vasan, Vanessa Xanthakis

“…In multivariable-adjusted linear regression models, higher ADMA levels were associated with higher CAC values (βADMA per 1-SD increase 0.25; 95% confidence interval [CI] [0.11, 0.39]). …”
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Relationship between time-weighted average anion gap and mortality in septic shock patients: a retrospective analysis of the MIMIC-IV database by Longsheng Zhang, Huankai Zhang, Zhiliang Huang, Shujun Ye, Xiaoman Sun, Renzhe Lin, Sen Li, Jinxin Lan, Duo Yang

“…The primary outcome was 30-day mortality, and the secondary outcomes were in-hospital and 1-year mortality. Cox regression models, logistic regression models, and restricted cubic spline analyses were conducted to evaluate the relationship between TWA-AG and mortality. …”
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The relationship between the Geriatric Nutritional Risk Index and all-cause mortality in patients with peripheral artery disease. by Zhe Wu, Yue Yu, Bin Wang

“…Kaplan-Meier survival analysis and multivariate Cox regression models assessed the relationship between GNRI and all-cause mortality in PAD patients. …”
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Evaluation of the Possibility of Calculating LD50 and LD10 Using a Modified Script in the R Environment by P. V. Shadrin

“…This study compared the results of determining LD50 and LD10 using the spreadsheet-based pharmacopoeial PM and a modified script in the R environment (MS). The lm() function (linear regression model) was used to establish the relationships between the LD50 and LD10 values obtained using the PM and those calculated using the MS.RESULTS. …”
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Exposure to placental microplastic and placental and umbilical cord blood telomere length by Shuo Zhang, Huiyue Chen, Long Li, Zhipeng Li, Dan Wang

“…Adjusted multivariable regression models, stratified analysis, and mixture analyses, including Bayesian Kernel Machine Regression (BKMR) and quantile g-computation, were employed to assess associations and interactions. …”
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Association between waist-to-height ratio and stroke among American adults: National Health and Nutrition Examination Survey 1999–2023 by Yahui Pan, Yanzhen Sun, Xiaohua Pan

“…In the fully adjusted model, the increased risk of stroke in Q4 (≥ 0.654) relative to Q1(≤ 0.525) remained significant, with an odds ratio 1.22 (95% CI: 1.03–1.46, P = 0.025). …”
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Gender-specific protective effects of dietary index for gut microbiota on cardiovascular disease: insights from NHANES 2007–2020 by Hui Liu, Xin Xu, Ruoyan Wang, Jialu Kang, Yongqing Shen, Wei Liu

“…We employed multivariable logistic regression models to assess the relationship between DI-GM and CVD. …”
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Association between oxidative balance score and methylation cycle biomarkers in US adults: insights from the national health and nutrition examination survey by Xuna Liu, Yiwen Wang

“…We employed weighted linear regression and restricted cubic spline (RCS) models to analyze the correlations among OBS, and methylation cycle.ResultsIn a nationally representative cohort of US adults (mean age: 47.04 ± 0.25 years; 51.76% female), OBS demonstrated significant associations with key methylation cycle biomarkers. …”
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In-Person and Virtual Clinic Visit Frequency to Rheumatologists for Rheumatoid Arthritis at an Academic Medical Center Before, During, and After COVID Lockdown by Yuxuan Jiang, Robert S. Rudin, Leah M. Santacroce, Jamie E. Collins, Jackie Stratton, Hallie Altwies, Daniel H. Solomon

“…Visit volume, visit type (in-person vs. virtual), and annual visit frequency per patient were assessed. Piecewise Poisson regression models were constructed to examine visit volume trends. …”
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Nurses\' Performance and Related Factors in End-of-Life Care in the Intensive Care Unit: A Cross-sectional Study by Maryam Tabrizi, Masoomeh Adib, Tahereh Khaleghdoost Mohamadi, Saman Maroufizadeh

“…This study used an independent t test and Pearson correlation coefficient correlation coefficient, and a multiple linear regression model for data analyses.   Results: Based on the results, 83.6% of the samples were women, 92.7% had bachelor's education, and 50.9% were married. …”
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