ABSTRACT
After almost two years since the COVID-19 pandemic hit the world, higher education institutions are adopting transitional strategies towards returning to normal campus life while respecting the health and safety regulations. An example of such strategies is the hybrid teaching model where only half of the students attend their classes physically on campus while the other half attend their classes simultaneously but online, and their attendance alternates every week. A major challenge imposed by this strategy is the complexity of students' engagement as instructors are exposed simultaneously to two different teaching styles. In this paper, the effectiveness of an Audience Response System in terms of boosting the students' engagement in a hybrid learning environment is investigated. The collected data is analyzed at various stages and comparative conclusions are drawn about the Audience Response System's effectiveness over the interaction of online and on-campus students. Furthermore, an anonymous detailed survey is conducted to verify the students' satisfaction level and to link its results with the conclusions obtained from analyzing the data of the Audience Response System. © CDIO 2022.All rights reserved.
ABSTRACT
The number of connected mobile devices and Internet of Things (IoT) is growing around us, rapidly. Since most of people's daily activities are relying on these connected things or devices. Specifically, this past year (with COVID-19) changed daily life in abroad and this is increased the use of IoT-enabled technologies in the health sector, work, and play. Further, the most common service via using these technologies is the localization/positioning service for different applications including: geo-tagging, billing, contact tracing, health-care system, point-of-interest recommendations, social networking, security, and more. Despite the availability of a large number of localization solutions in the literature, the precision of localization cannot meet the needs of consumers. For that reason, this paper provides an in-depth investigation of the existing technologies and techniques in the localization field, within the IoT era. Furthermore, the benefits and drawbacks of each technique with enabled technologies are illustrated and a comparison between the utilized technologies in the localization is made. The paper as a guideline is also going through all of the metrics that may be used to assess the localization solutions. Finally, the state-of-the-art solutions are examined, with challenges and perspectives regarding indoors/outdoors environments are demonstrated. © 2022
ABSTRACT
Background: Myocarditis is one of the most suspected etiologies in patients with unexplained heart failure (HF). We studied the in-hospital prevalence of viral myocarditis and recognize the etiologic cardiotropic viruses in patients admitted with unexplained HF during the COVID era. Method: This is a prospective observational study. We recruited patients with unexplained HF presenting at a university hospital from 1st October 2020 till 31st March 2021 (Fig.1). Patients were included if they present with unexplained acute HF associated with normal coronary angiography (CA). All patients were subjected to full history and examination, ECG, echocardiography, cardiac magnetic resonance (CMR) and CA. Sera were obtained from all suspected patients for detection of antibodies against the viruses by using ELISA and polymerase chain reaction (PCR). Results: Fifty-one patients fulfilled the inclusion criteria. 72.5% were males with mean age 39±16 years. We classified patients into 2 categories based on CMR results: Group A (CMR positive myocarditis) 12 patient (23.5%) and group B (CMR negative myocarditis) 35 (68.6%) patients. 51% of the patients presented with dyspnea, 27.5% with chest pain, 33.3% had LVEF >50%,19.6% with cardiogenic shock. 65.9% of patients (n=31/47) were associated with antibodies against the common cardiotropic viruses. Parvovirus B19 22 (46.8%) and Coxackie 16 (34%) were observed. 3 patients died at 6 months clinical follow up;91.5% from patients had recovered left ventricular ejection fraction. Conclusion: The in-hospital prevalence of myocarditis was 5 times higher in the COVID era. CMR is a good positive test for the diagnose acute myocarditis. Parvovirus B19 and Coxackie viruses represent most common pathogens in our locality. (Clinical trial registration no=NCT04312490, STDF grant no=26393 ) [Formula presented]