Use of mobile devices in mathematics education: A case of higher education in the United Arab Emirates حسب DANI, ANITA

"…Intelligent tutoring programs are developed by incorporating artificial intelligence and principles of learning theories which provide tutoring support to students. …"
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The Pros and Cons of Use of Handheld Electronic Devices During Ward Rounds and the Impact of the COVID-19 Pandemic حسب Shireen Suliman (13554986)

"…</p><h3>Methods</h3><p dir="ltr">A cross-sectional mixed-methods online survey was conducted to evaluate the perceptions of trainees and faculty at Accreditation Council for Graduate Medical Education International accredited residency and fellowships programs in Qatar on the use of HEDs on clinical workflow, trainees’ education, and the impact of the COVID-19 pandemic. …"

Arsenic: A double-edged sword حسب Nature Research (16552612)

"…For example, their ability to induce apoptosis, or programmed cell death, makes them useful anti-cancer drugs.…"

Predictive modelling in times of public health emergencies: patients’ non-transport decisions during the COVID-19 pandemic حسب Hassan Farhat (9000509)

"…The findings suggest that machine learning has the potential to revolutionise pre-hospital care, especially during pandemics, by improving resource allocation and patient outcomes, while highlighting the need for ongoing research to refine these models.…"

Monitoring the Athlete Match Response: Can External Load Variables Predict Post-match Acute and Residual Fatigue in Soccer? A Systematic Review with Meta-analysis حسب Karim Hader (2548618)

"…This estimation would allow individual adjustments to training programs to minimize injury risk, improve well-being, and restore players’ physical performance and inform the recovery process.…"

Data linkage: An untapped resource for reducing serious traffic injuries in fast developing countries حسب Gordon S. Smith (785942)

"…In the United States linkage of crash data and medical data has been important for many traffic safety programs. One example is Maryland’s Crash Outcome Data Evaluation System (CODES) that uses probabilistic methodology to link police crash records to injury outcome records. …"