Correlations between Resting Electrocardiogram Findings and Disease Profiles: Insights from the Qatar Biobank Cohort by Fatima Qafoud (14778571)

“…Elevated QTc was observed in CAD patients, whereas decreased QTc was correlated with decreased levels of calcium and potassium. …”

Exploring Unique Physiological and Genetic Features of Desert-dwelling Legumes by Madhurima Chatterjee (5331215)

“…<p dir="ltr">The widespread Fabaceae family is the third largest group of flowering plants, thriving across diverse seasonal and climatic conditions, including arid, harsh desert regions. …”

Mixed precision iterative refinement with adaptive precision sparse approximate inverse preconditioning by Noaman Khan (19810050)

“…One recent development is the development of an adaptive precision sparse matrix–vector produce routine, which may be used to accelerate the solution of sparse linear systems by iterative methods. …”

Detection, molecular typing and phylogenetic analysis of Leishmania isolated from cases of leishmaniasis among Syrian refugees in Lebanon by Tokajian, Sima

“…It is transmitted to humans through the bite of an infected female phlebotomine sand-fly vector. In the past two years the incidence of leishmaniasis has been drastically increasing in Lebanon. …”
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Effect of sintering temperature of NBT–6BT lead-free ceramics on the structural, ferroelectric and piezoelectric properties by Slimani, Ahmed

“…However, the density decreased significantly with increasing the calcination temperature above 850 °C due to the secondary phase formation. …”
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Preparation of albumin-targeted liposomes and the study of their release characteristics using ultrasound by Turki, Renad

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Enhancing Liquefied Natural Gas supply chain robustness through digital twin-driven machine learning models: A special case of cryogenic heat exchanger by Mariem Mhiri (17991544)

“…Finally, a Vector Autoregressive model is employed to forecast future operating conditions based on recent observations, capturing system dynamics and correlations. …”

A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method by Amit Kumar Balyan (18288964)

“…Due to a limited training dataset, an ML-based IDS generates a higher false detection ratio and encounters data imbalance issues. …”

Analysis of the Impact of Information and Communication Technology, Digitalization, Renewable Energy and Financial Development on Environmental Sustainability by Lanouar Charfeddine (10705000)

“…This study employs the Panel Vector Auto-Regression model to evaluate this assertion across the top ten most polluted countries from 1995 to 2018. …”

Approximate differentiator with varying bandwidth. (c2019) by Jaafar, Rayana Hussein

“…In its simplest form, SMC requires measurements of joint positions and velocities as the terminal sliding variable vector has a non-linear term of both joint positions and velocities. …”
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Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM by Tadesse G. Wakjira (14779165)

“…The predicted flexural and load capacities of the beams based on the existing analytical models are highly scattered and either over-conservative or unsafe. …”

Explainable phishing website detection for secure and sustainable cyber infrastructure by Tanzila Kehkashan (20748842)

“…Traditional methods might not fully capture the significance of individual features. To overcome this issue, this research applies feature selection techniques, specifically shapley additive explanations, with each model based primarily on the URL to improve the detection process. …”

Pore-scale simulation of fine particles migration in porous media using coupled CFD-DEM by Ahmed Elrahmani (17128837)

“…The time required to develop bridging and subsequent clogging of the pore space that lead to permeability reduction decreases as the flow velocity increases. The size of the fine particles has a significant impact on permeability reduction where the reduction in permeability increases as the size of particles increases. …”

DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins by Samir Brahim, Belhaouari

“…ObjectiveThis study utilized various classical machine learning techniques, such as support vector machines, k-nearest neighbors, and random forests, in conjunction with a modified deep learning approach called DeepRaman. …”
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Tamp-X: Attacking explainable natural language classifiers through tampered activations by Hassan Ali (3348749)

“…We quantify the reliability of explanations based on three different metrics—the descriptive accuracy, the cosine similarity, and the L p norms of the explanation vectors. …”

An Evaluation of Short-Term Effects of Different Soil Management Systems on Soil Physical, Structural and Hydraulic Properties and an Estimation and Optimization of Water Infiltrat... by Merheb, Caroline

“…For irrigation rate smaller than 0.05cm/min, NT was faster since all the other systems had larger pore structure for which more time is needed to saturate. …”
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Spatial, temporal, and demographic patterns in prevalence of chewing tobacco use in 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Diseas... by Parkes J Kendrick (9714851)

“…Among females, none of these 12 countries had significant decreases in prevalence of chewing tobacco use, whereas seven of 12 countries had a significant decrease in the prevalence of tobacco smoking use for the period. …”

Impact of the fear of Covid-19 infection on intent to breastfeed; a cross sectional survey of a perinatal population in Qatar by Shuja Mohd Reagu (12051406)

“…</p><h3>Conclusions</h3><p dir="ltr">The rates of Obsessive–compulsive symptoms were increased and the rates of intent to breastfeed were decreased when compared with pre pandemic rates. The obsessive–compulsive symptoms and the intent to not breastfeed were significantly associated with fear of infection to the new-born. …”

Theoretical insight into effect of cation–anion pairs on CO₂ reduction on bismuth electrocatalysts by Sun Hee Yoon (7179263)

“…On the other hand, the larger the cation size is, the higher is the Eads (i.e., Li⁺< K⁺ < Cs⁺) but the lower is the Wf (i.e., Cs⁺ < K⁺ < Li⁺). …”

Kalila wa Dimna by Marroum, Marianne

“…Girard contends that individuals do not simply mimic reality through philosophical or artistic representations but, more significantly, copy the desire of real or fictional others, who come to serve as models and mediators. …”
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