LCMV-Based EEG & FNIRS-Based Brain Source Localization of Mental Stress by Almadani, Ismat Feras Ismat

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Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation by Raveendra Pilli (21633287)

“…Moreover, the proposed algorithm demonstrated excellent prediction accuracy with a mean absolute error (MAE) of <b>3.89</b> years, <b>3.64 </b>years, and <b>4.49</b> years for GM, WM, and CSF regions, confirming that changes in WM volume are significantly associated with normal brain aging. Additionally, voxel-based morphometry (VBM) examines age-related anatomical alterations in different brain regions in GM, WM, and CSF tissue volumes.…”

Brain Region-Based Vigilance Assessment Using Electroencephalography and Eye Tracking Data Fusion by Abu Farha, Nadia

“…The overall results showed that vigilance is a brain region specific and the fusion of EEG+and Eye tracking data using CCA has significantly improved the classification accuracy of vigilance levels assessment.…”
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An Efficient Brain Tumor Segmentation Method Based on Adaptive Moving Self-Organizing Map and Fuzzy K-Mean Clustering by Surjeet Dalal (4906894)

“…<p dir="ltr">Brain tumors in Magnetic resonance image segmentation is challenging research. …”

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

“…The results show that PDC is very sensitive to vigilance decrement and shows that the brain connectivity network is significantly reduced with increasing TOT, p < 0.05. …”
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Clinical diagnostic reference levels in neuroradiology based on clinical indication by Antar Aly (13272312)

The outcome of severe traumatic brain injury in children in Qatar: Six-year study by Azhar Khattab (19774476)

“…The Glasgow Coma Scale (GCS) was used to assess severity of TBIs. This study was based on 65 children suffering from severe traumatic brain injury, of which 12 of them died within the first month of admission in pediatric intensive care unit. …”

Neuronal diversity in the caudate nucleus: A comparative study between camel and human brains by Juman M. Almasaad (22504331)

Non-diabetic ketoacidosis secondary to primary hyperthyroidism by Abdulrahman F. Al-Mashdali (17148316)

“…This was associated with decreased appetite and weight loss.</p><h3>Diagnosis</h3><p dir="ltr">Laboratory findings were significant for high anion gap metabolic acidosis, positive ketones in the urine, and high serum B-hydroxybutyrate. …”

Deep learning for brain electron microscopy segmentation: Advances, challenges, and future directions in connectomics and ultrastructure analysis by Uzair Shah (15740699)

“…Meta-analysis confirms significant advantages for foundation models in instance-based metrics (Cohen’s d =− 6 . 44 ), while only 26% of experiments validate across multiple datasets. …”

A Novel Transformer-Based Approach for Adult’s Facial Emotion Recognition by Uzma Nawaz (21980708)

The effect of Dopamine Agonists on patients with advanced Parkinson's disease subjected to subthalamic deep brain stimulation. (c2000) by Jabre, Mazen Gerges

“…Striatal dopamine concentration gets significantly reduced, and clinical symptoms, especially the motor handicap, prevail. …”
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Methylphenidate improves executive functions in patients with traumatic brain injuries: a feasibility trial via the idiographic approach by Samir Al-Adawi (711559)

“…<h2>Background</h2> <p>Road traffic accidents are known to be the main cause of traumatic brain injury (TBI). TBI is also a leading cause of death and disability. …”

Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms by Arafat Rahman (8065562)

A systematic review and meta-analysis on the impact of early vs. delayed pharmacological thromboprophylaxis in patients with traumatic brain injury by Muhammad Hamza Shuja (19748620)

“…<h3>Background </h3><p dir="ltr">Traumatic brain injury (TBI) poses significant health challenges, often leading to complications such as venous thromboembolism (VTE) and increased mortality rates. …”

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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Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection by Mamun Or Rashid (21976373)

A novel method for the detection and classification of multiple diseases using transfer learning-based deep learning techniques with improved performance by Krishnamoorthy Natarajan (22047464)

Effects of Social Media Use and Dependence on Dietary Intake and Prevalence of Orthorexia in Pregnant and Non-Pregnant Women by Issa, Yara

“…Social media use may negatively affect the dietary choices and intuitive eating behaviors of both pregnant and non-pregnant women. That being said, interventions to regulate social media content and limit exposure to unrealistic thin ideal as well as to educate women about dietary changes and requirements during pregnancy may be helpful to increase intuitive eating behaviors and decrease the risk of disordered eating and orthorexia in this population.…”
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Driving against the clock: Investigating the impacts of time pressure on taxi and non-professional drivers’ safety and compliance by Qinaat Hussain (15294164)

“…<p>Drivers often encounter time pressure, which can lead to riskier driving habits, decreased safety margins, and a higher chance of accidents. …”