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A component analysis of positive behaviour support plans
Published 2012“…Background Positive behaviour support (PBS) emphasises multi-component interventions by natural intervention agents to help people overcome challenging behaviours. …”
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Improved Cognitive Vigilance Assessment after Artifact Reduction with Wavelet Independent Component Analysis
Published 2022“…Mitigating these artifacts is important for an accurate vigilance level assessment. Independent Component Analysis (ICA) is an effective method and has been extensively used in the suppression of EEG artifacts. …”
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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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All-polyethylene versus metal-backed tibial components in total knee arthroplasty: a meta-analysis of randomized controlled trials
Published 2023“…</p><h3>Conclusions</h3><p dir="ltr">While this meta-analysis suggests that all-polyethylene tibial components in total knee arthroplasty may offer advantages over metal-backed components in terms of five-year survivorship, and stairs climbing score, this finding should be considered in the context of potential confounding factors. …”
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Exploring the Significance of Publication-Age-Based Parameters for Evaluating Researcher Impact
Published 2023“…For the experiments, this study employed a comprehensive and balanced dataset from the mathematics field to evaluate the performance of these indices. Analysis of these indices was conducted in three stages. …”
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Multidimensional Risk-Based Real Options Valuation for Low-Carbon Cogeneration Pathways
Published 2023“…A combined price risk was initially estimated by transforming the given price factors representing maximum covariance using principal component analysis (PCA). The trend and volatilities in the major principal component scores (the combined price risk indicator) were modelled using the geometric Brownian motion stochastic process, whose parameters were determined and then used to perform time-series simulation and generate multiple realisations of the principal component. …”
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Better Speed Better Comprehension: Introducing “Integrated Reading Comprehension Strategy
Published 2018“…On the other hand, the results of both quantitative and qualitative analyses reveal that IRCS plays a significant role in reducing participants’ reading test-anxiety levels. …”
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Mixed precision iterative refinement with adaptive precision sparse approximate inverse preconditioning
Published 2025“…<p dir="ltr">Hardware trends have motivated the development of mixed precision algorithms in numerical linear algebra, which aim to decrease runtime while maintaining acceptable accuracy. …”
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Investigation of the Effect of Exendin-4 on Oleic Acid-Induced Steatosis in HepG2 Cells Using Fourier Transform Infrared Spectroscopy
Published 2022“…This reduction was confirmed by FTIR analysis, as the phospholipid band (C=O) at 1740 cm−1 in Ex-4 treated cells is significantly decreased compared to steatotic cells. …”
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Problematic internet usage: the impact of objectively Recorded and categorized usage time, emotional intelligence components and subjective happiness about usage
Published 2022“…Multiple linear regression analysis showed that happiness with phone usage (β = −.17), the actual usage of communication (β = .17), social media (β = .19) and gaming apps (β = .13), and trait EI component of self-control (β = −.28) were all significant predictors of PIU. …”
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Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk
Published 2025“…We propose an offline kernel-based classifier enhanced by Batch Principal Component Analysis (PCA) for dimensionality reduction to mitigate the “curse of dimensionality”. …”
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A novel hybrid methodology for fault diagnosis of wind energy conversion systems
Published 2023“…In the first phase, the neighborhood component analysis (NCA) filter algorithm is used to reduce and select only the pertinent features from the original raw data. …”
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Serum 25-hydroxyvitamin D concentrations are inversely associated with body adiposity measurements but the association with bone mass is non-linear in postmenopausal women
Published 2021“…In a continuous variable analysis, the association between 25(OH)D and bone mass was significant, non-linear, inverse ‘U’. In conclusion, serum 25-hydroxyvitamin D was inversely associated with adiposity measures and non-linearly associated to bone mass in postmenopausal Qatari women.…”
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Serum 25-hydroxyvitamin D concentrations are inversely associated with body adiposity measurements but the association with bone mass is non-linear in postmenopausal women
Published 2021“…In a continuous variable analysis, the association between 25(OH)D and bone mass was significant, non-linear, inverse ‘U’. In conclusion, serum 25-hydroxyvitamin D was inversely associated with adiposity measures and non-linearly associated to bone mass in postmenopausal Qatari women.…”
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A Preliminary Assessment of Global CO<sub>2</sub>: Spatial Patterns, Temporal Trends, and Policy Implications
Published 2023“…The analysis differentiated the effects of these components based on countries' economic standings. …”
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Analyzing the Influence of Climate and Anthropogenic Development on Vegetation Cover in the Coastal Ecosystems of GCC
Published 2025“…Our results revealed significant changes in land cover, as seen by an increase in artificial built-up areas by 15.5% in two decades and a corresponding decrease in bareland and dense vegetation. …”
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Development and Validation of a Class Imbalance-Resilient Cardiac Arrest Prediction Framework Incorporating Multiscale Aggregation, ICA and Explainability
Published 2025“…This paper presents a new framework that tackles these difficulties by utilizing multiscale feature aggregation via Independent Component Analysis (ICA). Methods: We present the Pareto optimal StrataChron Pyramid Fusion Framework (SPFF) that improves temporal vital signs statistics by capturing long-term dependencies using multi-scale temporal feature aggregation. …”
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Analysis of heat pump performance in battery electric buses
Published 2020“…First, cabin thermal comfort conditions are set, and HP components technological constraints are presented. …”
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