Evaluation and Numerical Simulation of Music Education Informationization Based on the Local Linear Regression Method by Jiping Liu

“…The estimation methods and conclusions of this article enrich the research of functional linear regression models and will help analyze the complex and changeable problems encountered in the application of music education information.…”
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Comparative Study of Generalized Sum Graphs via Degree-Based Topological Indices by Muhammad Javaid, Saira Javed, Ebenezer Bonyah

“…As a conclusion, we also checked the correlation between predefined graph H1H2 under the operation of lexicographic product H1 and H2 with newly defined generalized Q-sum graphs H1QαH2 using linear regression models of various degree-based TIs.…”
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Intramuscular Adipose Tissue, Sarcopenia, and Mobility Function in Older Individuals by Robin L. Marcus, Odessa Addison, Leland E. Dibble, K. Bo Foreman, Glen Morrell, Paul LaStayo

“…The contribution of strength, quadriceps lean tissue, and IMAT to explaining the variability in mobility function was examined using multivariate linear regression models. Results. The predictors as a group contributed 27–45% of the variance in all outcome measures; however, IMAT contributed between 8–15% of the variance in all four mobility variables, while lean explained only 5% variance in only one mobility measure. …”
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Presenting a Prediction Model for CEO Compensation Sensitivity using Meta-heuristic Algorithms (Genetics and Particle Swarm) by Saeed Khaljastani, Habib Piri, Reza Sotoudeh

“…This superiority holds true for all three data mining models compared to the three linear regression models. Among the data mining models, the third model, which incorporates the cost behavior parameter of changes in operational costs, produced the best results. …”
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The associations of physical activity patterns and the triglyceride-glucose index in US adults: a secondary data analysis of NHANES (2007–2018) by JinYe Zhang, YiLin Yang, HaoNan Zheng, BoWen Bai, QianKun Yang, Li Zhang, YuTong Zhao, Jing Luo, Bin Yu

“…Multivariate adjusted linear regression models showed that insufficiently active adults (β = − 0.05, P = 0.3524), WWs (β = −0.01, P = 0.9129), and RA adults (β = − 0.110, P < 0.0001) all had significantly lower TyG indices compared to inactive adults. …”
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Deep, Surface, or Both? A Study of Occupational Therapy Students’ Learning Concepts by Tore Bonsaksen

“…Differences between student cohorts were analyzed with one-way analyses of variance and χ2 tests, whereas factors associated with the students’ learning concepts were analyzed with bivariate correlation and linear regression models. Results. The students’ mean scores on the deep and surface learning concept scales were similar. …”
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COLLATERAL DETERMINATS IN BANK RISK MANANAGEMENT: THE REGIONAL CASE by A. M. Karminsky, O. D. Khon

“…This study is based on linear regression models evaluated by the least square method. …”
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Modeling and Numerical Prediction on Mechanical Behaviors of Hybrid Fiber Reinforced Polymer Bio Composites Using Fuzzy Logic Algorithm by Vinoth Viswanathan, Sathiyamurthy Subbarayan, Ananthi Narayanaswamy, Devi Panneerselvam, Prabhakaran Jayasankar

“…The experiments were planned as per the design of experiments, the selected input parameters were fiber length (mm), NaOH treatment (%), and fiber weight (%) and the output parameters were tensile, flexural, and impact strength conditions. A Non-Linear Regression Modelling (NLRM) and Fuzzy logic model have been designed to predict and analyze the mechanical properties in unknown test conditions. …”
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Lifespan cardiometabolic exposures are associated with midlife white matter microstructure: The Bogalusa Heart Study by Reagan Dugan, Sreekrishna Ramakrishnapillai, Julia St Amant, Kori Murray, Kevin McKlveen, Maryam Naseri, Kaitlyn Madden, Lydia Bazzano, Owen Carmichael

“…Compartment model analysis was performed, and summary metrics were measured in organized and diffuse white matter. Multiple linear regression models were used to relate the white matter microstructure metrics to demographics and cardiometabolic risk factors. …”
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THEORETICAL AND INSILCO PHARMACOKINETIC INVESTIGATIONS ON SOME PHENYL PIPERIDINE DERIVATIVES AS NOVEL ANTIDEPRESSANT AGENTS by Olasupo Sabitu Babatunde Babatunde, Adamu Uzairu, Gideon Adamu Shallangwa, Sani Uba

“…Penta-parametric Multi-linear regression models were developed using the MLR-GFA for selecting the most important descriptors. …”
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Influence of AGTR1 and ABCB1 Gene Polymorphism on the Curative Effect of Irbesartan by Qiao Wang, Lingsen You, Zeyu Li, Leiyi Zhang, Xueqi Li, Xuesong Yang

“…The results of multiple linear regression models showed that no statistically significant differences were observed in blood pressure change following irbesartan administration in each genotype from either ABCB1 (CC, CT, and TT) or AGTR1 (AA and AC). …”
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Comparison of Uplift Capacity and Nonlinear Failure Surfaces of Single-Belled Anchor in Homogeneous and Layered Sand Deposits by Tanaya Deb, Sujit Kumar Pal

“…Four numbers of multiple linear regression models have been developed by observed breakout factors to eliminate the size effect, so the newly developed models are suitable for actual engineering to compare with prototype tests within the suggested imitation of values of variable parameters.…”
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Bonds, Bondholders Protection and Asset Allocation of Multimarket Funds by Thayse Machado Guimarães, Rodrigo Fernandes Malaquias

“…Regarding data analysis, we employed multiple linear regression models, with pooled estimators, applying the standard error correction by White’s robust matrix (1980). …”
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Project Management Information Systems and Project Performance: A Case of NWSC- Kabale. by Abigaba, Jackson

“…To fit the data, linear regression models were employed. According to research results from the regression models, the project performance at NWSC Kabale projects, is positively impacted by PMIS where PMIS software on the performance of NWSC- Kabale projects( R=0.971), challenges of Project Management Information System on project performance with ( R =662) and Contributions of Project Management Information System, on project performance (R=656) .The fundamental finding of this study was that, to the bigger extent, PMIS affects project performance at NWSC Kabale-Projects Therefore, this study recommends that, PMIS should be concentrated on if the NWSC Kabale- Projects are perform well.…”
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Prediction of Gas Chromatography-Mass Spectrometry Retention Times of Pesticide Residues by Chemometrics Methods by Elaheh Konoz, Amir H. M. Sarrafi, Alireza Feizbakhsh, Zahra Dashtbozorgi

“…The standard error values of ANN model for training, test, and validation sets are 1.559, 1.517, and 1.249, respectively, which are less than those obtained reveals by multiple linear regressions model (2.402, 1.858, and 2.036, resp.). …”
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Novel Metrics for High-Density sEMG Analysis in the Time&#x2013;Space Domain During Sustained Isometric Contractions by Giovanni Corvini, Michail Arvanitidis, Deborah Falla, Silvia Conforto

“…Additionally, linear regression models revealed strong correlations between these spatial metrics and endurance time. …”
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Associations between oxidative balance scores and heart failure among americans: NHANES (2007–2018) by Xiaozhuo Xu, Xueli Wang, Xu Han

“…The linear link between OBS and HF in adults aged ≥ 45 years was investigated using multivariate linear regression models. Interaction tests and subgroup analysis were also conducted. …”
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Research on the Policy Effect of Property Tax Reform: Take the Pilot Reforms in Chongqing and Shanghai as Examples by Wei Dong, Xinqi Fu, Yang Zhang, Guowei Qin

“…It takes Chongqing and Shanghai as the research objects, selects several typical factors, and uses multiple linear regression models for analysis. This article studies the impact of China’s property tax pilot on the real estate industry and its effects from both theoretical and empirical aspects and discusses the policy effects of the property tax policy pilot. …”
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The impact of the reform of rural collective property rights system on villagers' public participation: An empirical study based on CRRS 2020 data. by Rui Li, Duanyang Gao

“…This study is based on 284 village committee questionnaires and 7451 villager questionnaires from 10 provinces in China, and uses multi-layer linear regression models to explore the impact of the reform of rural collective property rights system on villagers' public participation. …”
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Impact of Regular Exercise and Attempted Weight Loss on Quality of Life among Adults with and without Type 2 Diabetes Mellitus by Andrew J. Green, Kathleen M. Fox, Susan Grandy

“…Differences between T2DM respondents (n=2419) and respondents with no diabetes (n=6750) were tested using t-tests and linear regression models adjusting for demographics, body mass index (BMI), and diabetes status. …”
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