Pendugaan PM2.5 Menggunakan Metode Geographically Temporally Weighted Regression di DKI Jakarta by Ilil Firrizqi Nur Ilahi, Ervan Ferdiansyah, Fendy Arifianto

“…Pada perbandingan model terbaik menunjukkan bahwa metode GTWR merupakan metode pendugaan yang menghasilkan hasil yang lebih baik dari metode regresi linear berganda dengan nilai R2 sebesar 0,4156, RSS sebesar 844301,3 dan AIC sebesar 0,3410. …”
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Exploring the power of emotional intelligence: a comprehensive evaluation of its impact on the clinical competence of nursing students by Kholoud Alharbi

“…There was a strong positive correlation between emotional intelligence and clinical practice scores. Multiple linear regression showed the following predictors for emotional intelligence: students’ level and course; and the following predictors for clinical competence: course, level, and emotional intelligent. …”
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Association of dietary vitamin intake with gallstone risk in US adults: a cross-sectional NHANES study by Pinchu Chen, Chenfenglin Yang, Jieru Ding, Yao Li, Wen Hu, Qifan Zhang

“…Restricted cubic spline analyses suggested potential linear relationships between niacin and gallstone risk. …”
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Hyperspectral imaging and machine learning for herbicide-resistant kochia identification in sugarbeet by Bright Mensah, Kelvin Betitame, Yu Zhang, Thomas Peters, Billy Graham Ram, Mian Jalal, Xin Sun

“…The selected wavelengths were used to train supervised machine learning models, namely support vector machine (SVM), random forest (RF), linear discriminant analysis (LDA), and extreme gradient boost (XGBoost). …”
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Measurement of the Functional Size of Web Analytics Implementation: A COSMIC-Based Case Study Using Machine Learning by Ammar Abdallah, Alain Abran, Munthir Qasaimeh, Malik Qasaimeh, Bashar Abdallah

“…A comparison of predicted effort values with actual values indicated that Linear Regression, Extra Trees, and Random Forest ML models performed well in terms of low Root Mean Square Error (RMSE), high Testing Accuracy, and strong Standard Accuracy (SA) scores. …”
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AMPEROMETRIC DETERMINATION OF PERRHENATE ANION USING A MICROSCOPIC INTERFACES BETWEEN TWO IMMISCIBLE ELECTROLYTE SOLUTIONS by L. Yu. Martynov, E. V. Lopatukhin, A. A. Astafyev, A. M. Shakhov, V. A. Nadtochenko, N. K. Zaitsev

“…Under optimized preconcentration and detection conditions, a limit of detection of 0.3 μM with a wide linear dynamic range extending from 1.0 to 100 μM was achieved. …”
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Impact of Noncommunicable Disease Multimorbidity on Healthcare Utilisation and Out-Of-Pocket Expenditures in Middle-Income Countries: Cross Sectional Analysis. by John Tayu Lee, Fozia Hamid, Sanghamitra Pati, Rifat Atun, Christopher Millett

“…Association between the number of NCDs and healthcare utilisation as well as out-of-pocket spending was assessed using logistic, negative binominal and log-linear models.<h4>Results</h4>The prevalence of multimorbidity in the adult population varied from 3.9% in Ghana to 33.6% in Russia. …”
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Maternal feeding practices and its association with obesity in children: a cross-sectional study in Iran by Aida Askari, Zahra Hassanzadeh-Rostami, Nazanin Zolfaghari, Shiva Faghih

“…Then, association of maternal feeding patterns with children’s BMI and WC, were assessed using multivariate linear regressions. Results Healthy and unhealthy maternal feeding patterns were extracted as two main feeding patterns. …”
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Biomechanical determinants of high ball speed during instep soccer kick by prepubescent male athletes: the importance of muscle elasticity by Volkan Deniz, Abdullah Kılcı

“…Significant positive correlations existed between maximum ball speed and RA–RF activation (r = 0.494 and 0.579), maximum thigh rotational velocity in the sagittal plane (r = 0.619), and maximum thigh rotational acceleration in the sagittal (r = 0.435) and horizontal (r = 0.380) planes (power > 0.95; p < 0.05 for all). The multiple linear regression analysis demonstrated that significant parameters for maximum ball speed were HM (B = −36.84) and GM (B = −26.83) elasticity along with thigh rotational velocity in sagittal plane (B = 0.01) (adjusted R2 = 0.56, delta R2 = 0.17). …”
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Premature Mortality from Colorectal Cancer by Ronaldo Valdés Villafranca, Suleidy Pérez García, Ángel Ernesto Ramos Cordero, Suniel Pérez García, Rubén Valdés Villafranca, Elvis Hernández

“…<br /><strong>Results:</strong> the age group 65-69 years (34 %) and the female sex (64 %) were the predominant ones. The mortality linear trend was downward, with the year 2018 being the predominant with 35 cases. …”
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A pena de Tântalo: uma política de educação profissional para trabalhadores “sedentos” por trabalho by Áurea de Carvalho Costa

“…Na conjuntura atual, de crise do capital, que ocasiona grande restrição de postos de trabalho, a presente reflexão vem contribuir para a necessária luta contra as mistificações acerca de que existiria uma relação linear entre formação e conquista do emprego. …”
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Decoding metabolic connections: the role of salivary amylase activity in modulating visceral fat and triglyceride glucose index by Gita Erta, Gita Gersone, Antra Jurka, Peteris Tretjakovs

“…Methods This cross-sectional study analysed data from women of reproductive age who were classified as overweight. Linear regression models were used to assess associations between salivary amylase activity (SAA), visceral fat (VF) and the triglyceride-glucose (TyG) index, while adjusting for confounding variables such as age, body mass index (BMI), physical activity and dietary patterns. …”
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Mini-mental state examination as a predictor of mortality among older people referred to secondary mental healthcare. by Yu-Ping Su, Chin-Kuo Chang, Richard D Hayes, Gayan Perera, Matthew Broadbent, David To, Matthew Hotopf, Robert Stewart

“…An HR of 1.23 (95% CI: 1.18, 1.28) per quintile increment of MMSE was also estimated after confounding control. A linear trend of MMSE in quintiles was observed for the subgroups of dementia and other non-dementia diagnoses (both p-values<0.001). …”
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Systematic Biases in Estimating the Properties of Black Holes Due to Inaccurate Gravitational-Wave Models by Arnab Dhani, Sebastian H. Völkel, Alessandra Buonanno, Hector Estelles, Jonathan Gair, Harald P. Pfeiffer, Lorenzo Pompili, Alexandre Toubiana

“…Inference of BBH parameters relies on waveform models, and realizing the full discovery potential of upcoming LIGO-Virgo-KAGRA observing runs and new ground-based facilities (such as the Einstein Telescope and Cosmic Explorer) hinges on the accuracy of these waveform models. Using linear-signal approximation methods and Bayesian analysis, we start to assess our readiness for what lies ahead using two state-of-the-art quasicircular, spin-precessing models: seobnrv5phm and imrphenomxphm. …”
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Extreme drought and sexual violence against adolescent girls and young women: A multi-country population-based study. by Lucas Hertzog, Marshall Makate, David Chipanta, Boladé Banougnin, Martina Mchenga, Gavin Pereira, Sylvester Dodzi Nyadanu, Jennifer Dunne, Paula S Tallman, Shalean Collins, Kefyalew Addis Alene, Pauline Rousseau-Gueutin, Astghik Mavisakalyan, Ivan C Hanigan

“…Bayesian Generalized Linear Models were employed to estimate the association between drought exposure and reported experiences of sexual violence, controlling for age, relationship status, school attendance, and wealth. …”
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Association Between Serum Methylmalonic Acid (A Marker of Mitochondrial Dysfunction) and Serum Neurofilament Light Chains in a U.S. Population: a Cross‐Sectional Analysis From NHAN... by Jun Wei, Yang Liu, Ya Li

“…Methods Data were obtained from the 2013–2014 National Health and Nutrition Examination Survey (NHANES). Multiple linear regression modeling was employed to confirm the association between MMA and sNfL, while smooth curve fitting was utilized to explore the potential nonlinear relationship. …”
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Robust operation of renewable virtual power plant in intelligent distribution system considering active and reactive ancillary services markets by Mohabbat Vafa, Mohammad Hossain Ershadi, Behdad Arandian

“…A nonlinear formulation and a linear approximation model are used in this scheme to achieve the optimal solution. …”
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Prediction of risk for acute kidney injury and its progression to mortality in obese patients admitted to ICU postoperatively by LI Qiang, LI Qiang, MU Guo, MU Guo, WANG Wenzhang

“…After data cleaning and preprocessing, Boruta feature selection was applied, followed by the construction of prediction models using 7 machine learning algorithms, that is, Gradient Boosting Machine (GBM), Generalized Linear Model (GLM), k-Nearest Neighbors (KNN), Naïve Bayes (NB), Neural Network (NNET), Support Vector Machine (SVM), and XGBoost. …”
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Interaction between gender and age on the methylation levels of KLF14 promoter by Chiung-Hung Chiang, Yen-Chung Chen, Oswald Ndi Nfor, Wen-Yu Lu, Yung-Po Liaw

“…Participants were divided into four age groups (30–40, 40–50, 50–60, and 60–70 years). Multiple linear regression analyses were performed to assess the impact of age and sex on KLF14 promoter methylation and to evaluate the interaction between these variables. …”
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Deciphering the role of molecular mimicry in the etiopathogenesis of Autoimmune Hemolytic Anemia using an immunoinformatics approach. by Pratyusha Patidar, Arihant Jain, Tulika Prakash

“…Interestingly, EBV, HSV, MP, and TP displayed conformational B-cell epitopes, which overlapped with their linear B-cell epitopes. HLA DRB1_0305 was found to exhibit binding with several bacterial epitopes indicating its predisposing potential to AIHA. …”
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