Knee Angle Affects Posterior Chain Muscle Activation During an Isometric Test Used in Soccer Players by Paul James Read (14152221)

“…The surface EMG of the gluteus maximus, biceps femoris, semitendinosus, and medial gastrocnemius was measured, in addition to the within-session reliability (intraclass correlation coefficient (ICC) and coefficient of variation (CV)). Results: Within-session reliability showed large variation dependent upon the test position and muscle measured (CV% = 8.8–36.1) Absolute mean EMG activity and percentage of maximum voluntary isometric contraction (MVIC) indicated different magnitudes of activation between the two test positions; however, significant mean differences were present for the biceps femoris only with greater activation recorded at the 30° knee angle (% MVIC: 31 ± 9 vs. 22 ± 7; p = 0.002). …”

Enhancing the properties and performance of polysulfone ultrafiltration membranes using citric acid based deep eutectic solvent additives by Yousef Elhamarnah (17869382)

“…The membranes underwent morphological analysis using Scanning Electron Microscopy (SEM) and Atomic Force Microscopy (AFM). …”

Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation by Rawan AlSaad (14159019)

“…Furthermore, the time gaps between patient visits often encapsulate significant domain knowledge, potentially revealing undiscovered patterns that characterize specific medical conditions. …”

A Diffusion-Based Probabilistic Ultra-Short-Term Solar Power Prediction Using the Sky Image Sequences by Razieh Rastgoo (22457767)

“…<p dir="ltr">The inherently unpredictable nature of solar power generation, primarily due to rapidly changing cloud cover, poses a significant challenge to the operation of solar-integrated energy systems. …”

An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study by Ayman Hassan (14426412)

“…</p><h3>Conclusions</h3><p dir="ltr">The NWO Navigate Stroke system uses a data-driven, reliable, accurate prediction model while considering all variations and is simultaneously linked to all required acute stroke management pathways and tools. …”

Enhanced Control of Single-Stage PV-STATCOM Using Hybrid MPPT and Adaptive AHLMS for Power Quality Improvement by Nagwa F. Ibrahim (17334201)

Determinants of personal protective gear use and adherence to safety standards among motorcyclists: a case study in Qatar by Shabna SayedMohammed (22997857)

“…This study employed discrete choice models to investigate factors influencing the use of standard safety gear by motorcyclists. Moreover, variations in risky riding characteristics and non-mandated safety gear usage rates based on rider characteristics have been explored. …”

Destabilization of stable bentonite colloidal suspension using choline chloride based deep eutectic solvent: Optimization study by Dana I.M. Al-Risheq (16932606)

A dual-stage deep learning approach for robust detection and identification of hardware trojans using monte-carlo dropout by Arash Golabi (21841484)

“…<p dir="ltr">Hardware Trojans (HTs) pose a significant threat to the integrity and security of integrated circuits, particularly in critical systems where stealthy hardware modifications can lead to catastrophic consequences. …”

Using Unilateral Strength, Power and Reactive Strength Tests to Detect the Magnitude and Direction of Asymmetry: A Test-Retest Design by Chris Bishop (5534846)

“…Test reliability was computed using the intraclass correlation coefficient (ICC), coefficient of variation (CV) and standard error of measurement (SEM). …”

Analytical study to assess the impact of health service quality on patient satisfaction in Hamad Medical Corporation Hospitals in Qatar: using SERVQUAL by Saddam Alrwashdh (21632966)

“…All hospitals have significant values (<i>P</i> < 0.05). There is variation in patient satisfaction between the newly opened hospitals and the old ones.…”

Geospatial modelling of seasonal water and electricity consumption in Doha's residential buildings using multiscale geographically weighted regression (MGWR) and Bootstrap analysis by Rana Jawarneh (17746953)

“…Key findings indicate significant spatiotemporal variations in consumption influenced by changes in LULC and demographic characteristics such as household size and structure. …”

New model for estimating geometric tortuosity of variably saturated porous media using 3D synchrotron microcomputed tomography imaging by Zaher A. Jarrar (14779072)

“…<p></p><div> <p>Tortuosity has a significant impact on flow and transport characteristics of porous media and plays a major role in many applications such as enhanced oil recovery, contaminant transport in aquifers, and fuel cells. …”

A customised fetal growth and birthweight standard for Qatar: a population-based cohort study by Thomas Farrell (3933833)

“…</p><h3>Methods</h3><p dir="ltr">The PEARL registry data on women delivering in Qatar (2017–2018) was used to develop a multivariable linear regression model predicting optimal birthweight. …”

Exploiting Functional Discourse Grammar to Enhance Complex Arabic Relation Extraction using a Hybrid Semantic Knowledge Base - Machine Learning Approach by OSMAN, TAHA

“…Relation extraction from unstructured Arabic text is especially challenging due to the Arabic language com plex morphology and the variation in word semantics and lexical categories. …”
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A Decision Modelling Approach for Security Modules of Delegation Methods in Mobile Cloud Computing using Probabilistic Interval Neutrosophic Hesitant Fuzzy Set by AL HANTOOBI, SENDEYAH

“…However, Modeling these modules is critical and poses significant challenges in selecting the most secure security module. du to multicriteria, importance of data and data variation. …”
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Three-dimensional evaluation of pulp chamber volume and dimensions across skeletal and dental malocclusions using CBCT: a retrospective cross-sectional study by Raidan Ba-Hattab (17773230)

“…Incisor PCV did not significantly differ by tooth contact status. Age, gender, molar interdigitation, and vertical pattern(for incisors) were significant predictors of PCVs ( P ≤ 0.05).…”

Fixing a heart valve by Nature Research (16552612)

“…All of these factors significantly increase the rate of complications following valve replacement, so valve repair is a more viable option in these parts of the world. …”

Improving the performance of a commercial absorption cooling system by using ejector: A theoretical study by Hamza K. Mukhtar (17821004)

“…An improvement of 70.6% in the COP was obtained at the design condition. A parametric analysis was implemented to study the significance of the key parameters in the RACS performance. …”

Wearable wrist to finger photoplethysmogram translation through restoration using super operational neural networks based 1D-CycleGAN for enhancing cardiovascular monitoring by Sakib Mahmud (15302404)

“…TTR-GAN comprises cascaded dual-stage 1D Cycle Generative Adversarial Networks (1D-CycleGANs) constructed using Super-ONNs. In the first phase, corrupted wPPG waveforms are blindly restored using a 1D-CycleGAN-based restoration framework. …”