Infrastructure for Mass Argumentation Support on the Semantic Web by Banihashemi, Bita

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LCDnet: a lightweight crowd density estimation model for real-time video surveillance by Muhammad Asif Khan (7367468)

“…<p dir="ltr">Automatic crowd counting using density estimation has gained significant attention in computer vision research. …”

MEFood: A Large-Scale Representative Benchmark of Quotidian Foods for the Middle East by Mohammed Yusuf Ansari (16904523)

“…<p>Automatic food recognition systems have been receiving increasing attention in the research community with the advancements in inductive learning (e.g., classification in computer vision) due to their applicability in the healthcare and hospitality industry. …”

Can “Stop The Bleed” training courses for laypersons improve hemorrhage control knowledge, skills, and attitudes? A systematic review by Rafael Consunji (768892)

“…The most reported finding was a statistically significant increase in hemorrhage control knowledge or tourniquet application skills in 26 studies. …”

Anti-xa guided enoxaparin thromboprophylaxis is associated with less thromboembolism than fixed dose dalteparin in trauma patients admitted to intensive care by Ahmad Kloub (16855149)

“…VTE incidence after protocol implementation decreased from 4 to 1.3% (OR 0.31; 95% CI 0.1–0.9, P = 0.03) without increasing the bleeding rate. …”

Prevalence and correlates of mental health difficulties following the beirut port explosion: The roles of mentalizing and resilience. by Tohme, Pia

“…Objective: Research has consistently highlighted an increased prevalence of mental health problems, such posttraumatic stress disorder (PTSD), depression, and anxiety, following both man-made and natural disasters. …”
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Computed tomography-detected hemothorax after blunt chest trauma: Does everyone need an intervention? A retrospective analysis by Ismail Mahmood (14150352)

“…</p><h3 dir="ltr">Methods</h3><p dir="ltr">A retrospective observational study was conducted at XXX Trauma Center, including all patients with traumatic hemothorax from June 2014 to January 2020. …”

Qatar’s Ambulance Paramedics’ evaluation of the conventional versus a revised Glasgow Coma Scale including a pupil score by Zynri Jacobs (18505057)

“…The chi-squared test results suggest that more training is needed to increase the familiarity in using the tool.</p>…”

Semantics-based approach for detecting flaws, conflicts and redundancies in XACML policies by Jebbaoui, Hussein

“…First, our approach resolves the complexity of policies by elaborating an intermediate set-based representation to which the elements of XACML are automatically converted. Second, it allows to detect flaws, conflicts and redundancies between rules by offering new mechanisms to analyze the meaning of policy rules through semantics verification by inference rule structure and deductive logic. …”
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A Small Cut, a Big Challenge: Pediatric Mucormycosis in an Unexpected Host by Marriam Tanvir (22330462)

“…We present a case of a 15‐month‐old girl with increasing swelling and redness in her left eye after a minor traumatic injury. …”

Comparison of in-hospital and out-of-hospital cardiac arrest of trauma patients in Qatar by Furqan B. Irfan (13359828)

“…</p><h3>Results</h3><p dir="ltr">There were 716 traumatic cardiac arrest patients in Qatar from 2010 to 2015. …”

Effectiveness and specificity of a classroom-based group intervention in children and adolescents exposed to war in Lebanon by Dimassi, Hani

“…The rates of disorders peaked one month post-war and decreased over one year. There was no significant effect of the intervention on the rates of MDD, SAD or PTSD. …”
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Debt arrears as a signal of sovereign defaults by Zeaiter, Hussein

“…The accuracy of the inference about the risk of default is very important to the potential creditors in their lending decisions. …”
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Active Learning Based Federated Learning for Waste and Natural Disaster Image Classification by Lulwa Ahmed (16869936)

“…<p>The feasibility of Federated Learning (FL) is highly dependent on the training and inference capabilities of local models, which are subject to the availability of meaningful and annotated data. …”

Prevalence of Aggression in Displaced Syrian Adolescents Attending Afternoon Public Schools in Beirut by Bouclaous, Carmel

“…Adolescents from Idlib, Daraa, and Aleppo were predicted to have increased physical aggression scores. Verbal aggression scores were predicted to rise for adolescents from Daraa and Aleppo while other districts had a protective effect. …”
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Traffic medicine in the Netherlands by W. H. Brouwer (19794582)

“…This is particularly problematic because the older population is increasing and with the arrival of the e-bike, cycling is increasingly popular. …”

Outcomes of drain versus no drain in total knee arthroplasty: a retrospective cohort study by Anas Albasha (17765964)

“…Moreover, tranexamic acid (TXA) use (n = 106) in surgery reduced hospital stays, tourniquet time, drain output, and increased pre- and postoperative haemoglobin and hematocrit levels compared to no TXA group (n = 156) (p < 0.05, z-score reported).…”

Clinical reappraisal of the composite international diagnostic interview version 3.3 in Qatar's National Mental Health Study by Salma M. Khaled (13847737)

“…Concordance was also examined for a diagnoses of post‐traumatic stress disorder based on a short‐form versus full version of the PTSD Checklist for DSM‐5 (PCL‐5).…”

Changes and trends of pre-hospital emergency disease spectrum in Beijing in the past decade (from 2003 to 2012) by Tianbing Wang (514759)

“…</p><h3 dir="ltr">Conclusion</h3><p dir="ltr">Compared with the growth of population (145.4%, 2012/2003), pre-hospital emergency calls increased much more, which shows a growing desire on ambulance service. …”

Autocleandeepfood: auto-cleaning and data balancing transfer learning for regional gastronomy food computing by Nauman Ullah Gilal (17302714)

“…To this end, the food computing community has compiled a variety of data sets and developed various deep-learning architectures to perform automatic classification. However, automated food classification presents a significant challenge, particularly when it comes to local and regional cuisines, which are often underrepresented in available public-domain data sets. …”