Relationship between fatness, physical fitness, and academic performance in normal weight and overweight schoolchild handball players in Qatar State by Souhail Hermassi (6919487)

“…<p dir="ltr">The aim of this study was to examine the correlation between physiological parameters (namely fatness and physical fitness) with academic performance (namely mathematics and science grade point average [GPA]) in normal weight and overweight schoolchild handball players. …”

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). …”
Get full text
Get full text
Get full text
Get full text

Evidence and gaps in clinical outcomes of novel pharmacologic therapies for sickle cell disease: A systematic literature review highlighting insights from clinical trials and real-... by Mohamed Yassin (4166515)

“…The high discontinuation rate and results of the STAND trial led to a significant decrease in the use of crizanlizumab. The HOPE trial demonstrated a 51 % improvement in hemoglobin response and a reduction in hemolytic markers in patients treated with voxelotor. …”

A geographic information system method to generate long term regional solar radiation resource maps: enhancing decision-making by Sachin Jain (19161721)

“…A significant improvement of 9.15% and 9.32% in GHI and DNI estimation has been observed after calibration, which brings down the Normalized Root Mean Square Error (NRMSE) to 4% and 11.70% for GHI and DNI respectively as compared to the non-calibrated satellite data estimation.…”

DNA Base-Calling Techniques by Odeh, Fadi

Get full text

Novel algorithms for accurate DNA base-calling by Mohammed, Omniyah Gul

“…The importance of DNA sequencing necessitated a need for efficient automation of identification of base sequences from traces generated by existing sequencing machines, a process referred to as DNA base-calling. …”
Get full text

Sliding Resistance of Serrated-Base Quay Walls by Jaroor, Maryam Omran

Get full text

BIM for Economic Green Retrofitting based on LEED- EBOM by MEREB, EMAN

“…The proposed solutions should be evaluated based the green retrofitting standards like LEED-EBOM and should be costly viable since the owners are normally looking for minimum cost and shortest payback period. …”
Get full text

Neural network based predistortion of radio frequency power amplifiers by Ali, Anfal Alsayed

Get full text

Sensory Pollution from Treated Wood Panels on Perceived Air Quality and Human Comfort by El Danaf, Taher Salah

“…The evaluated wood panels included: ‘wood panel with water-based paint’, ‘wood panel with oil-based paint’, ‘wood panel with melamine urea formaldehyde’ (MUF), ‘normal MDF sample’ (Medium Density Fiberboard) without any additives’. …”
Get full text

Maternal and Neonatal Outcomes Post Bariatric Surgery: A Population-Based Study by Nader I. Al-Dewik (17039794)

“…Second, to evaluate these outcomes among pregnant women without a history of BS, these include women who are obese, overweight, and with normal weight (non-exposed groups).</p> <h3>Design</h3> <p>This population-based study was conducted using 12-month retrospective registry data from the PEARL-Peristat Study at the Women's Wellness and Research Center (WWRC) in Qatar.…”

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.…”

Population based treatment strategy of H pylori in Qatar: Through clinical and demographic insights by Zohaib A.W. Khan (22051949)

“…Mean (SD) age of patients with premalignancies was significantly more than those without [ 53.25 (17.6) vs. 44.77 (14.8), p = 0.000]. …”

Factors Affecting Cybersecurity Behaviour in the Metaverse: A Hybrid SEM-ANN Approach Based on Deep Learning by ALMANSOORI, AFRAH

“…The empirical data were analysed using a deep learning-based hybrid Structural Equation Modeling (SEM) and Artificial Neural Network (ANN) Approach. …”
Get full text

Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images by Hassaan Malik (10486121)

“…Thus, the proposed DCDD_Net model can provide significant assistance to radiologists and medical experts. …”

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

“…We employed a publicly available multimodal dataset encompassing three data categories: physiological, vehicle dynamics, and vision-based data. Our approach aims to identify the normal state and three types of distractions: cognitive, emotional, and sensorimotor. …”

Recycling of Date Pits Into a Green Adsorbent for Removal of Heavy Metals: A Fractional Factorial Design-Based Approach by Khalid Al-Saad (5768084)

A Multi-Feature Based Approach Incorporating Variable Thresholds for Detecting Price Spikes in the National Electricity Market of Australia by Dao H. Vu (19570225)

“…The variable thresholds, which are determined using a weighted sliding window average and an adjusted standard deviation, help to segregate spikes from normal price variations. Also, significant features are extracted from the market after thoroughly analyzing the underlying causes resulting into the price spikes. …”

Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods by Jayakanth, Kunhoth

“…Moreover, a deep analysis of different characteristics (kinematic, dynamic, temporal, spatial, etc.) of online handwriting is conducted to examine their significance in distinguishing normal and abnormal handwritten data. …”
Get full text
Get full text
Get full text

Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods by Jayakanth Kunhoth (14158908)

“…Moreover, a deep analysis of different characteristics (kinematic, dynamic, temporal, spatial, etc.) of online handwriting is conducted to examine their significance in distinguishing normal and abnormal handwritten data. …”