No abstract

During the COVID-19 lockdown, all the courses at Imam Abdulrahman Bin Faisal University (IAU) were delivered fully online, including field-training courses. Since there was no previous experience in offering field-training courses in a distance format, the current study aims to identify factors that could impact students’ behavioral intention to accept the e-training approach in teaching field training courses at IAU. In order to gather the data, the researchers designed a questionnaire based on the UTAUT model and they ensured the face, content, and construct validity of the questionnaire by sending it to five experts in the relevant field and by using exploratory factor analysis. Also, all the questionnaire’s items were reliable since the Cronbach’s alpha values were above 0.77 for all the items. A total of 397 participants provided valid responses. The result of this study indicated that Effort Expectancy (EE), Facilitating Condition (FC), Performance Expectancy (PE), and Social Influence (SI), respectively were the primary predictors for students’ intention to use e-training. These factors explained 32.1% of the variance in students’ behavioral intentions. As far as students’ gender is concerned, there were significant differences between students’ PE, FC, and SI. Based on these results, policymakers at IAU will have a clear image of the most essential factors that colleges should target to increase students’ acceptance of e-training.

Most retailers are integrating their practices with modern technologies to enhance the effectiveness of their operations. The adoption of technology aims to enable businesses to accurately meet customer needs and expectations. This study focused on examining the role of mobile application (app) acceptance in shaping customer electronic experience. A mixed method was adopted, in which qualitative data were collected using interviews, and quantitative data were gathered using the questionnaires. The results indicate that mobile app acceptance contributes to a positive customer experience while purchasing products and services from online retailers. Mobile apps are associated with benefits, such as convenience, ease of use, and the ability to access various products and services. With the rapid development in technology, e-commerce retailers should leverage such innovations to meet customer needs.

Pediatric convulsive seizure is common and represents a source of major concern and anxiety for the parents. Seizures can have a broad spectrum of etiologies in children, including metabolic, traumatic, developmental, and infectious causes. Depending on the clinical presentation, laboratory testing and neuroimaging may be indicated in the workup of the first unprovoked afebrile seizure. We present a case of a six-year-old boy who was brought to the emergency department by his mother after an episode of convulsion. She reported that he had jerky repetitive movements of all extremities that lasted around two minutes with spontaneous termination. The child did not have a febrile illness. The mother reported no history of similar episodes. Upon examination, the child appeared alert and conscious. No dysmorphic features were evident. Initial laboratory investigations were within the normal limits. The child underwent magnetic resonance imaging for the brain, which demonstrated a large well-defined extra-axial cystic lesion occupying most of the left hemisphere that is connected to the ventricular system. The lesion had no grey-matter lining and it strictly followed the cerebrospinal fluid in all sequences. Such finding represented the diagnosis of a giant left porencephalic cyst. Porencephaly is an extremely rare neurological anomaly that may present with pediatric seizures. Magnetic resonance imaging is the gold standard modality for the diagnosis of porencephaly. The case demonstrated that porencephaly can have a massive size in a patient with normal psychoneurological development.

This study was aimed at evaluating the effect of E-glass fibers ([Formula: see text]1.0[Formula: see text]mm long, [Formula: see text][Formula: see text]mm with 1.0[Formula: see text]wt.% and 5.0[Formula: see text]wt.%) in two (MegacemTMand GlassFillTM) glass-ionomer cements (GIC) to enhance their mechanical properties. The six specimen groups were assigned to MCC, MC1, MC5, GFC, GF1 and GF5, and evaluated after 24[Formula: see text]h dry storage and 30 days water storage. The results showed considerable increase in surface roughness and the flexural strength values of both cements in both time intervals, whereas a statistically higher elastic modulus was observed in MC1 24[Formula: see text]h (15.3[Formula: see text]GPa) and 30 days groups (7.1[Formula: see text]GPa). On the contrary, no steady improvement in nano-hardness and yield strength were observed with the addition of chopped glass fibers. The SEM images suggest inadequate adhesion of the fibers to GIC matrix. Reinforcing GICs with short chopped E-glass fibers may not improve all the mechanical properties of GIC.