A component analysis of positive behaviour support plans by Grey, Ian

“…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 by Abu Farha, Nadia

“…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 by EL MAJANINI, DINA BADR

“…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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Investigation of biomass components on the slow pyrolysis products yield using Aspen Plus for techno-economic analysis by Muhammad Shahbaz (772838)

All-polyethylene versus metal-backed tibial components in total knee arthroplasty: a meta-analysis of randomized controlled trials by Aissam Elmhiregh (14150667)

“…</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. …”

Multidimensional Risk-Based Real Options Valuation for Low-Carbon Cogeneration Pathways by Houd Al-Obaidli (19365520)

“…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. …”

Exploring the Significance of Publication-Age-Based Parameters for Evaluating Researcher Impact by Ghulam Mustafa (458105)

“…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. …”

A comparison of peer, teacher and self-feedback on the reduction of language errors in student essays by Diab, Nuwar Mawlawi

“…However, comparison of students' performance on lexical errors at the immediate post-test revealed that the self-feedback group significantly decreased this error percentage compared to the peer feedback group. …”
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Investigation of the Effect of Exendin-4 on Oleic Acid-Induced Steatosis in HepG2 Cells Using Fourier Transform Infrared Spectroscopy by Olfa Khalifa (10914452)

“…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. …”

Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk by Mohamed Chaouch (17983846)

“…We propose an offline kernel-based classifier enhanced by Batch Principal Component Analysis (PCA) for dimensionality reduction to mitigate the “curse of dimensionality”. …”

Problematic internet usage: the impact of objectively Recorded and categorized usage time, emotional intelligence components and subjective happiness about usage by Sameha Alshakhsi (17032311)

“…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. …”

A novel hybrid methodology for fault diagnosis of wind energy conversion systems by Khaled Dhibi (16891524)

“…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. …”

Better Speed Better Comprehension: Introducing “Integrated Reading Comprehension Strategy by ABDULRAHMAN, NISHAD CHATHAMKULAM

“…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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Bioequivalence of losartan/amlodipine fixed dose combination tablets (losanet AM) compared with concomitant administration of Single components of losartan and amlodipine tablets i... by Bustami, Rana

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Morphological changes in amblyopic eyes in choriocapillaris and Sattler’s layer in comparison to healthy eyes, and in retinal nerve fiber layer in comparison to fellow eyes through... by Masri, Oussama Samer

“…Results The method of measuring reflectivity is good to excellent reliability for all regions of interest except the fourth. The mean reflectivity of the choriocapillaris and Sattler’s layer in amblyopic eyes were significantly lower than in healthy eyes (p = 0.003 and p = 0.008 respectively). …”
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A Preliminary Assessment of Global CO₂: Spatial Patterns, Temporal Trends, and Policy Implications by Ahmed M. EI Kenawy (17746944)

“…The analysis differentiated the effects of these components based on countries' economic standings. …”

Development and Validation of a Class Imbalance-Resilient Cardiac Arrest Prediction Framework Incorporating Multiscale Aggregation, ICA and Explainability by Iffa Afsa C M (22304104)

“…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. …”

Interval-Valued Reduced Ensemble Learning Based Fault Detection and Diagnosis Techniques for Uncertain Grid-Connected PV Systems by Khaled Dhibi (16891524)

Cyber-Resilient Detection of Power Quality Events with NSCT and PCA-SVM by Sayanti Chatterjee (1311438)

“…This paper presents an innovative detection framework that combines Nonsubsampled Contourlet Transform (NSCT) with Principal Component Analysis (PCA) and Support Vector Machine (SVM) classification to accurately detect and classify PQ disturbances under the influence of cyber threats, such as False Data Injection (FDI) and Denial of Service (DoS) attacks. …”

Analysis of heat pump performance in battery electric buses by Al Haddad, Rabih

“…First, cabin thermal comfort conditions are set, and HP components technological constraints are presented. …”
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