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Discourse Analysis of Lexical Cohesive Devices in Shakespearean Sonnets: Exploring their Significant Functions and Roles in ESL Poetry Classes
Published 2024“…This study investigates the function of lexical cohesive devices in Shakespeare's sonnets and aims to transfer their significance to ESL poetry classes. Employing a qualitative approach and manual discourse analysis, the study explores the correlation between the usage of these devices and the overall expression and quality of poems. …”
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Diagnostic accuracy of interleukin-6 (IL-6) as a significant biomarker in late-onset neonatal sepsis: an updated systematic review and meta-analysis
Published 2025“…What is New:• This meta-analysis used a bivariate model to estimate IL-6 performance, yielding high pooled sensitivity (85.2%) and specificity (84.1%).…”
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Modelling of Asphalt’s Adhesive Behaviour Using Classification and Regression Tree (CART) Analysis
Published 2019“…The results obtained from CART analysis were also compared with those from the regression model. …”
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Statistical Modelling and Correlation of Membrane Distillation Data
Published 2014Get full text
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Nomograph derivation for underwater sour gas releases in shallow waters based on computational fluid dynamics simulations
Published 2024“…Employing the Realizable k-ε <u>turbulence model</u> and additional bubble plume mechanisms, the model was rigorously validated against well-documented experimental data, showing high levels of agreement across multiple metrics. …”
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Effect of corporate ethics and social responsibility on OCB: the role of employee identification and perceived CSR significance
Published 2021“…Partial least square structural equation modeling (PLS-SEM) is used to analyze the data and multi-group analysis is conducted to investigate the role of perceived CSR significance. …”
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Staff Development: A Study Into The Significance of Staff Professional Development Programs for Educators and Students Achievement
Published 2011“…In this context, various models of staff development have been discussed along with pros and cons. …”
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Characterization and Modeling of Damage in Steel at Different Strain Rates
Published 2011Get full text
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FE modeling of concrete beams and columns reinforced with FRP composites
Published 2021“…In the second part of this research, flexural behavior of RC beams reinforced with BFRP, GFRP and CFRP bars is investigated along with validation of the numerical model with the experimental tests. The results resembled the experimental observations that indicate significant effect of the FRP bar diameter and type ont he flexural capacity of the RC beams. …”
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Sentiment Analysis of Dialectal Speech: Unveiling Emotions through Deep Learning Models
Published 2024“…The results demonstrate the superiority of the hybrid CNN-BI-LSTM model, achieving an accuracy of 93%, significantly outperforming individual deep-learning models such as CNN (87%) and BI-LSTM (83%). …”
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Deep random vector functional link transformer network with multiple output layers for significant wave height forecasting
Published 2025“…The computational results demonstrate the superiority of the proposed models through a comparative analysis against state-of-the-art approaches across fifteen significant wave height time series, validated by three error metrics and a statistical test.…”
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Geospatial modelling of seasonal water and electricity consumption in Doha's residential buildings using multiscale geographically weighted regression (MGWR) and Bootstrap analysis
Published 2024“…For this purpose, we employed statistical analysis (i.e. Pearson correlation and Bootstrap analysis) and advanced geostatistical models, including Geographically Weighted Regression (GWR) and Multiscale Geographically Weighted Regression (MGWR), to analyze and monitor the spatial and seasonal variations of water and electricity consumption. …”
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Lean manufacturing practices for operational and business performance: A PLS-SEM modeling analysis
Published 2023“…Findings: The statistical analysis obtained from structural equation modeling found that lean manufacturing practices can explain operational performance, however, were unable to benefit overall business performance. …”
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Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques
Published 2022“…This research proposed an efficient feature selection and prediction model for cervical cancer datasets using Boruta analysis and SVM method to deal with this challenge. …”
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The significance of general skills training for early career graduates: relationships with perceived organizational support, job satisfaction and turnover intention
Published 2023“…Design/methodology/approach– A quantitative survey method was used on a sample of 147 Chinese early career graduate trainees. Analysis was conducted using partial least square-based structural equation modelling (PLS-SEM). …”
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