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86461
Evaluating sentiment analysis models: A comparative analysis of vaccination tweets during the COVID-19 phase leveraging DistilBERT for enhanced insights
Published 2025-06-01“…. • Comparative Analysis of Embedding Techniques and ML Models: The study evaluates two embedding techniques—TF-IDF and Word2Vec—across five ML models: LinearSVC, Random Forest, Gradient Boosting Machine (GBM), XGBoost, and AdaBoost. • The models were tested using two training-testing splits (70–30 and 80–20) to assess their performance on noisy, unlabeled, and imbalanced sentiment data. • Utilization of DistilBERT for Pseudo-Labeling: To enhance labeling accuracy, DistilBERT was employed for pseudo-labeling, capturing semantic nuances often missed by traditional ML techniques. …”
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86462
Effect of Nitrogen Level on Herbage and Seed Yield of Rhodes Grass (Chloris gayana)
Published 2021-01-01“…The collected data were analyzed using the general linear model procedure of SAS, and the least significance difference was used for mean separation. …”
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86463
Model Predictive Control for Charging Management Considering Mobile Charging Robots
Published 2025-07-01“…This study investigates a Model Predictive Control (MPC) approach using Mixed-Integer Linear Programming (MILP) to coordinate MCR charging and movement, accounting for the additional complexity that EVs can park at arbitrary locations. …”
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86464
Evaluation of the Ellman’s Reagent Protocol for Free Sulfhydryls Under Protein Denaturing Conditions
Published 2025-05-01“…The data demonstrate that the assay maintains linearity under these various conditions. The assay was then applied to a variety of models and biomarker peptides and exhibits the expected linear response. …”
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86465
Improving winter condition simulations in SURFEX-TEB v9.0 with a multi-layer snow model and ice
Published 2025-06-01“…Our findings show that the enhanced TEB model (named TEB-ES) outperforms TEB, as well as a benchmark model, ISBA-Route/CROCUS, but with mixed results against a multiple linear regression in-sample algorithm. For roads with high traffic and/or winter maintenance operations, future modelling work should focus on the representation of anthropic effects.…”
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86466
Explanation of factors affecting the sense of place in religious places of Iran (case examples of historical mosques in Tabriz
Published 2025-04-01“…To analyze the quantitative data and measure the relationship between the variables, the Pearson correlation method and the simple and multivariate linear regression statistical tests were used to determine the relationship and intensity. …”
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86467
Cardiovascular risk factors and intima-media complex thickness in women of childbearing age with rheumatoid arthritis
Published 2007-04-01“…To reveal subclinical forms of atherosclerosis common carotid arteries (CCA) duplex scanning with measurement of intima-media complex (IMC) was performed using ultrasound system “Acuson 128/XP10” (USA) by linear sensor with 7 MHz frequency. C- reactive protein (CRP) was assessed by immuno-enzyme assay. …”
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86468
ESG REPORTING IN ROMANIA: ASSESSING SUSTAINABILITY PRACTICES AND THEIR FINANCIAL IMPACT ON BET-LISTED COMPANIES
Published 2025-07-01“…To examine the financial implications of ESG performance, a quantitative analysis was conducted using multiple linear regression. The results indicate a statistically significant and positive correlation between the Social (S) score and EBITDA, suggesting that companies with stronger social engagement—such as employee welfare, community involvement, and health and safety practices—may benefit from improved financial performance. …”
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86469
Influence of Dufour, Soret and radiation on unsteady MHD flow through a porous media past an infinite inclined vertical plate with ohmic heating: Numerical study
Published 2025-09-01“…The finite difference method is used to assess quantitatively the characteristics of flows by transforming the governing equations into the dimensionless partial differential equations (PDEs). The non-linear non-dimensional coupled partial differential equations of the flow model are solved numerically by taking into consideration the competent implicit Crank-Nicolson finite difference process. …”
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86470
Use of Contrast-Enhanced MR Angiography (CE-MRA) for the Diagnosis of a Vascular Ring Anomaly in a Dog
Published 2012-01-01“…A small ductus diverticulum and an indistinct linear soft tissue band crossing the esophagus were also noted. …”
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86471
Influential factors on speed reduction at vertical deflection devices in mixed traffic environments
Published 2025-03-01“…Video recordings enabled the analysis of spot speeds at 10-meter intervals, starting 50 m before and extending 50 m beyond each device. Multiple linear regression analysis was utilized to identify the factors affecting speed reductions. …”
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86472
ASSESSING UNEMPLOYMENT RATES IN TANAH DATAR REGENCY: INSIGHTS FROM SMALL AREA ESTIMATION
Published 2025-04-01“…The SAE method applied is Empirical Best Linear Unbiased Prediction (EBLUP), using the Restricted Maximum Likelihood (REML) estimation model. …”
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86473
The Impact of Adherence and Instillation Proficiency of Topical Glaucoma Medications on Intraocular Pressure
Published 2017-01-01“…After conducting a Q-Q analysis, multiple binary logistic analyses, linear regression analyses, and two-tailed paired t-test were conducted to compare IOP in the baseline versus current measurements. …”
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86474
A mobilidade urbana em Belo Horizonte/Minas Gerais/Brasil: indicadores e projeções para as viagens por automóveis
Published 2019-04-01“…A metodologia de projeção utilizou-se das linhas de tendências do modelo de regressão linear e como base de dados a matriz de viagens extraída da Pesquisa Origem e Destino da Região Metropolitana de Belo Horizonte dos anos de 1992, 2002 e 2012, além de um fator de correção baseado na variação da renda domiciliar entre 2000 e 2010. …”
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86475
Integration of Routine Parameters of Glycemic Variability in a Simple Screening Method for Partial Remission in Children with Type 1 Diabetes
Published 2018-01-01“…We then evaluated whether parameters of glycemic variability used in clinical routine may reliably define partial remission, as these would alleviate confounding factors related to insulin treatment. Using multiple linear regression, we observed that HbA1C levels and percentage of normoglycemia were efficient and sufficient to predict partial remission. …”
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86476
Effects of Transcranial Alternating Current Stimulation on Cognitive Functions in Healthy Young and Older Adults
Published 2016-01-01“…Additionally, we present pilot data where we administered theta-tACS (6 Hz) over the temporoparietal cortex and a supraorbital reference for 20 min during implicit language learning in healthy young (mean/SD age: 22/2) and older (mean/SD age: 66/4) adults, in a sham-controlled crossover design. Linear mixed models revealed significantly increased retrieval accuracy following tACS-accompanied associative learning, after controlling for session order and learning success. …”
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86477
Applicability of Anisotropic Failure Criteria and Associated Application with Layered Rocks
Published 2021-01-01“…This paper examines the applicability of four failure criteria applied to layered rocks, namely, Pariseau’s model, linear empirical equation, nonlinear empirical equation (LEE and NLEE), and Jaeger’s plane-of-weakness model (JPW). …”
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86478
Academic engagement and academic self-efficacy as predictors of academic procrastination in Peruvian adolescents
Published 2025-05-01“…A correlation analysis was performed between the variables, as well as a multiple correlation analysis and, finally, a multiple linear regression analysis.ResultsThe results showed that self-efficacy was inversely related to academic procrastination (r = −0.250; p < 0.001) and this, in turn, to commitment (r = −0.263; p < 0.005). …”
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86479
Spatiotemporal Patterns of Drought Migration Across the Contiguous United States
Published 2025-06-01“…Moreover, a significant linear relationship exists between migration distances and the duration of droughts. …”
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86480
Medium-Term Minimum Demand Forecasting Based on the Parallel LSTM-MLP Model
Published 2024-01-01“…Furthermore, the proposed parallel long short-term memory (LSTM)-multi layer perception (MLP) model extracts annual temporal characteristics, learns non-linear relationships, and captures patterns. A validation using historical load demand data demonstrates its superiority over conventional methods through a comparative analysis.…”
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