Validation of Sea Surface Temperature From GK-2A Geostationary Satellite and Error Reduction Considering Impact of Satellite Zenith Angle by Kyung-Ae Park, Hye-Jin Woo, Stephane Saux Picart, Anne O'Carroll, Eunha Sohn, HuiTae Joo, Joon-Soo Lee, Joon-Yong Yang

“…To address this, eight additional SST estimation formulas considering both linear and nonlinear relationships related to the SZA were developed and validated. …”
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Chitosan Nanoparticles Encapsulating Oregano Oil: Effects on In Vitro Ruminal Fermentation from Goat Rumen Fluid by Gerardo Méndez-Zamora, Jorge R. Kawas, Sara Paola Hernández-Martínez, Gustavo Sobrevilla-Hernández, Sugey Ramona Sinagawa-García, Daniela S. Rico-Costilla, Jocelyn Cyan López-Puga

“…The experimental design was a randomized complete block design. Linear and quadratic regressions were used to identify dependence and inflection points. …”
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Determinants of access to health facilities among under-five children with caregiver-reported fever in the context of seasonal malaria chemoprevention in Togo, 2020–2022 by Endeshaw Degie Abebe, Sikai Huang, Kevin Baker, Fantche Awokou, Meseret Zelalem, Tadesse Shiferaw Chekol, Abebe Tilaye Weldemichael, Sol Richardson

“…Adjusted odds ratios and 95% confidence intervals obtained from the logistic regression analysis found a statistically significant linear relationship between children's adjusted odds of access to health facilities and their distance from the nearest facility, with 2% lower odds of access for each additional kilometer of distance (AOR = 0.98, 95% CI 0.97–0.99). …”
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Accurate estimation of permeability reduction resulted from low salinity water flooding in clay-rich sandstones by Xiaojuan Zhang, Muntadher Abed Hussein, Tarak Vora, Anupam Yadav, Asha Rajiv, Aman Shankhyan, Sachin Jaidka, Mehul Manu, Farzona Alimova, Issa Mohammed Kadhim, Zainab Jamal Hamoodah, Fadhil Faez, Ahmad Khalid

“…Traditional methods often rely on costly experiments or simplified empirical correlations, which struggle to capture the complex, non-linear interactions governing this phenomenon. This study introduces a novel data-driven approach utilizing a comprehensive suite of machine learning (ML) methods—including random forest, decision tree, adaptive boosting, ensemble learning, K-nearest neighbors, multilayer perceptron artificial neural networks, convolutional neural networks, and support vector machines—to provide robust predictions of permeability reduction. …”
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Predicting outcomes of expectant and medical management in early pregnancy miscarriage using machine learning to develop and validate multivariable clinical prediction models by Sughashini Murugesu, Kristofer Linton-Reid, Emily Braun, Jennifer Barcroft, Nina Cooper, Margaret Pikovsky, Alex Novak, Nina Parker, Catriona Stalder, Maya Al-Memar, Srdjan Saso, Eric O. Aboagye, Tom Bourne

“…A combination of eight linear, Bayesian, neural-net and tree-based machine learning algorithms were applied to ten different feature sets. …”
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Biogeographic distribution and environmental drivers of tetracycline resistance genes in urban green spaces by Xunqiang Mo, Lingyue Lv, Jianzhong Xu, Zirui Meng, Xin Wen, Yu Liu, Runqiu Feng, Kai He, Jie Liu, Mengxuan He

“…In this study, we compared the performance of multiple linear regression (MLR), geographically weighted regression (GWR), and multi-scale geographically weighted regression (MGWR) models in predicting the spatial distribution of tet ARGs across urban green spaces in Tianjin, China, using eight environmental and anthropogenic variables. …”
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Association between atherogenic index of plasma and type 2 diabetes in women with a history of gestational diabetes mellitus: a cross-sectional study by Yanwen Sheng, Dejun Cun, Yiqi Chen, Xinyu Hu, Xiangqi Zhang, Xiaofeng Sun, Siyu Song

“…RCS analysis revealed a linear association between AIP and T2DM in this population. …”
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Current Smoking Dose-Dependently Associated with Decreased β-Cell Function in Chinese Men without Diabetes by Chun Wang, Yijun Wang, Junxia Wu, Suyi Liu, Ying Zhu, Shurong Lv, Ping Lin, Xiaoke Wang, Yan Xu, Shali Yu, Gang Chen, Quanyong Xiang

“…Using homeostatic model assessment (HOMA), geometric means of insulin resistance (HOMA-IR) and β-cell function (HOMA-β) with 95% confidence interval (CI) were calculated by general linear model. Odds ratios (ORs) with 95% CI were estimated to evaluate the associations between smoking status and insulin resistance and β-cell deficiency under a logistic regression model. …”
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Estimation of mean population salt intakes using spot urine samples and associations with body mass index, hypertension, raised blood sugar and hypercholesterolemia: Findings from... by Saroj Bhattarai, Bihungum Bista, Binod Kumar Yadav, Pradip Gynawali, Anil Poudyal, Anjani Kumar Jha, Meghnath Dhimal

“…Student's 't' test, one-way ANOVA and multivariable linear regression were used to assess the association between salt intake and a number of factors. …”
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An analysis of the relationship of triglyceride glucose index with diffuse large B-cell lymphoma prognosis: a retrospective study by QingQing Luo, Zhixiang Lei, Haizhou Miao, Ting Huang, Li Yu

“…RCS analysis demonstrated a non-linear relationship between the TyG index and OS. …”
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A cross-correlator-based timing tool for FemtoMAX by D. Kroon, E. Nilsson, B. Ahn, M. Bertelli, R. Calarco, I. Clementsson, S. De Simone, J. C. Ekström, A. Jurgilaitis, M. Longo, V. T. Pham, J. Larsson

“…This enables online monitoring of the relative timing of a linear accelerator-based, short-pulse, hard X-ray source and a synchronized visible laser. …”
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Balancing Environmental Sustainability and Nutrition: Dietary Climate Impact in Relation to Micronutrient Intake and Status in a Swedish Cohort by Anna Stubbendorff, Ulrika Ericson, Ylva Bengtsson, Yan Borné, Emily Sonestedt, Elinor Hallström, PhD

“…Quintiles of dietary climate impact were examined in relation to nutrient intake and status using linear and logistic regression. Results: The mean estimated dietary GHGE were 5.9 kg of carbon dioxide equivalents per day (females: 5.4, males: 6.6). …”
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Association of the dietary index for gut microbiota and dietary inflammation index with metabolic dysfunction-associated steatotic liver disease and metabolic alcohol-associated li... by Wenhao Wu, Zebin Hou

“…Multivariable logistic and linear regression, subgroup analyses, and restricted cubic spline (RCS) models assessed associations and dose-response relationships. …”
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Development and evaluation of RhizoQOL, a quality-of-life caregiver-reported survey for rhizomelic chondrodysplasia punctata, a rare peroxisomal disorder by Mousumi Bose, Tahra C. Anglade, Chelsea I. Donlon, Adrian L. Kerrihard, Hila F. Berger, Ariel S. Berkowitz, Shawn A. Ritchie, Tara M. Smith

“…Using individual question item results from reliability testing, linear regression modeling, and testing for required magnitude of significant treatment effects, eight question items were removed from the survey instrument, resulting in a total of 23 question items within 6 discrete domains. …”
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Motor skills in Peruvian preschool children: A cross-sectional study by Joel Figueroa-Quiñones, Karem Julissa Pariona Espino, Ashley Oliveros Marquez, Cesar Ortiz Huamán, Kiara Saravia Huamán, Kerrily Fiorell Fernández Castilla

“…Additionally, a multiple linear regression analysis with robust standard errors was conducted. …”
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The impact of intensive management on pain intensity in patients with rheumatoid arthritis and psoriatic arthritis: secondary analysis of three clinical trials by Fowzia Ibrahim, David L. Scott, Ian C. Scott

“…In the two trials employing the most intensive management strategies (CARDERA; TITRATE) overall reductions in pain scores were significantly greater (6.6 to 6.8 units in adjusted linear regression models), and significantly more achieved ≥ 30% reductions in pain with intensive vs. control treatment (adjusted logistic regression models: CARDERA odds ratio [OR] 1.9, P = 0.009; TITRATE OR 2.2, P = 0.002). …”
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GuardianML: Anatomy of Privacy-Preserving Machine Learning Techniques and Frameworks by Nges Brian Njungle, Eric Jahns, Zhenqi Wu, Luigi Mastromauro, Milan Stojkov, Michel A. Kinsy

“…The system’s recommendations and optimizations are formulated as a maximization problem using linear integer programming to identify the most suitable solution for various use cases. …”
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A Sensitive and Accurate Electrochemical Sensor Based on Biomass-Derived Porous Carbon for the Detection of Ascorbic Acid by Yashuang Hei, Lisi Ba, Xingwei Shi, Huanhuan Guo, Sisi Wen, Bingxiao Zheng, Wenjie Gu, Zhiju Zhao

“…Compared with the GCE, the DWGH-HCPC/GCE exhibits higher sensitivities (34.7 μA mM⁻¹ and 22.7 μA mM⁻¹), a wider linear range (10–1040 μM and 1040–3380 μM), and a lower detection limit (0.26 μM) for AA detection. …”
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The relationship between C-reactive protein to lymphocyte ratio and the prevalence of chronic kidney disease in US adults: a cross-sectional study by Pengfei He, Jiao Zhang, Ni Tian, Yuanyuan Deng, Min Zhou, Cheng Tang, Yu Ma, Mianzhi Zhang, Mianzhi Zhang

“…The associations between CLR and CKD prevalence, as well as indicators of renal damage, were explored. Non-linear relationships were analyzed using weighted restricted cubic splines. …”
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Age-related changes in myelin and myelin water quantified with short-TR adiabatic inversion-recovery (STAIR) sequences by James Lo, Jiaji Wang, Dylan Tran, Gabrielle Nemeh, Brandon Liu, Soo Hyun Shin, Jiyo S. Athertya, Dawn Schiehser, Yajun Ma, Jiang Du

“…Altogether, the 42 volunteers display linear and quadratic associations of MPDF/MWF with age. …”
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