A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition by Hanif Heidari (22467148)

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

“…<p dir="ltr">Effective modeling of patient representation from electronic health records (EHRs) is increasingly becoming a vital research topic. Yet, modeling the non-stationarity in EHR data has received less attention. …”

Towards electric digital twin grid: Technology and framework review by Md. Mhamud Hussen Sifat (17337913)

“…Electric Digital Twin grid can perform online analysis of the grid in real-time and integrates all the past and present data and express the current grid status to the producers and consumers and also predicts the future grid status. …”

Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting by Abdelkader Baggag (16864140)

“…., its generation, propagation and mitigation, in order to increase operational efficiency and improve livability within smart cities. …”

Enhancing Healthcare Systems With Deep Reinforcement Learning: Insights Into D2D Communications and Remote Monitoring by Zina Chkirbene (16869987)

“…<p dir="ltr">The traditional healthcare system is increasingly challenged by its dependence on inperson consultations and manual monitoring, struggling with issues of scalability, the immediacy of care, and efficient resource allocation. …”

Blockchain-Based Local Energy Market Enabling P2P Trading: An Australian Collated Case Study on Energy Users, Retailers and Utilities by Liaqat Ali (641438)

“…Moreover, the margins of both energy retailers and distribution utilities are kept unchanged or increased to some extent by the proposed trading model to incorporate them in the LEM framework effectively. …”

Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms by Marwan Dhuheir (19170898)

“…A key requirement in these applications is minimizing the latency of data processing, particularly for time-sensitive tasks like image classification of IIoT device data. …”

Cognitive Load Estimation Using a Hybrid Cluster-Based Unsupervised Machine Learning Technique by Iqbal Hassan (22155274)

“…<p dir="ltr">The increasing prevalence of non-invasive, portable Electroencephalography (EEG) sensors for neuro-physiological measurements has propelled EEG-based assessments of cognitive load (CL) into the spotlight. …”

SPARQ: A Cyber-Resilient Voltage Regulation Using Soft Q-Learning Approach for Autonomous Grid Operations by Mohamed Massaoudi (16888710)

Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval by Mohammed Tahar Habib Kaib (21633176)

“…For a large-sized data set, KPCA’s execution time and occupied storage space will increase drastically and the monitoring performance can also be affected in this case. …”

Association Between Three-Months Vitamin D Supplementation and Depressive Symptomatology incidence among Saudi Arabian Adults by Khaddaj, Rashel

“…Furthermore, the change between both groups was significantly different (-7.61 ±4.03 in the Vitamin D group, -3.50±1.54 in the control group; p=<0.001) Conclusion: The present study shows thata 50.000 IU/week dose of vitamin D supplementation for 3 months was enough to increase vitamin D levels beyond sufficient and decrease depression symptoms in Saudi Arabian Adults. …”
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Sex differences on quality of life and mental health outcomes when using a brief cognitive-behavioral skill building intervention with adolescent Syrian refugees: a secondary analy... by Kazandjian, Chant

“…Males demonstrated a significant decrease in anxiety scores compared to females. Among males only, significant decreases in depression and anxiety scores were observed with significant improvement in total QOL.…”
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Positron annihilation doppler broadening spectroscopy of carbon black and carbon black-filled rubber polymers by Semaan, Mars E.

“…This behavior can be understood as due to a combination of reduction in positronium formation as carbon black is added to the polymer, and the decrease in positron annihilation with valence electrons in the sample as the amount of carbon black-polymer links are increased. …”
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Impact of staying at home measures during COVID-19 pandemic on the lifestyle of Qatar’s population: Perceived changes in diet, physical activity, and body weight by Muna Abed Alah (14779534)

“…Participants reported increased sitting/reclining time (1.94 h/day mean increase), screen times (2.05 h/day mean increase) with p < 0.001, and decreased exercise time (0.11 h/day mean reduction) with p < 0.001. …”

Brain Connectivity Analysis Under Semantic Vigilance and Enhanced Mental States by Yahya, Fares

“…The quantification of mental states was performed by means of statistical analysis of indexes based on GTA, behavioral responses of time-on-task (TOT), and Brunel Mood Scale (BRMUS). …”
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Predictors of Disordered Eating in Young Males by Doumit, R.

“…Therefore, the latter pathway was removed from the model. The link between media pressure, strategies to decrease body weight and emotional eating was partially mediated by depressive symptomatology. …”
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1787 evaluation of transperineal prostatic administration of a PSA-activasted protoxin (PRX302) in men with luts secondary to BPH by Elhilali, Mostafa

“…In the Phase I study, mean IPSS showed a decrease of 6.5 points (34%), mean QoL a decrease of 2 points (44%) and mean prostate volume a decrease of 5.5 cc (13%) at 12-months compared to screening. …”
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The Effects of Local Aggregates on the Mechanical Properties of Engineered Cementitious Composites (ECC) by Obied, Michel

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Modification of glucocorticoid effects on body weight gain, plasma lipids by changes in diet composition by Bouclaous, Carmel

“…All groups showed a decrease in relative intestinal absorption with time. …”
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Do interleukin-6 and macrophage-migration inhibitory factor play a role during sex-associated susceptibility in murine cysticercosis? by Kabbani, Ahmad

“…However, in wild-type strains, females have twice as many parasites as males. At the same time, there is a decrease of 80% in testosterone and dihydrotestosterone serum levels, and a 100-fold increase in the levels of estradiol in infected male mice. …”
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