Desire to stay shorter time at the shopping mall: insight from protection motivation (PMT), behavioral inhibition system (BIS), reactance, and expectancy theories.

After withdrawing the movement control order (MCO), new variant (Omicron) of COVID-19 returns as an outbreak again. Therefore, consumers are very much informed by various media to be more cautious in visiting shopping malls and spend less time in there. The purpose of this study was to identify the predictors influencing the desire to stay shorter at the shopping mall. This study was conducted in Malaysia, with the application of three psychological theories and one behavioural theory. This is quantitative research based on an online cross-sectional survey design. Data were collected from 296 respondents, by applying the online snowball sampling method through numerous media platforms i.e., Viber, WhatsApp, Messenger, and other apps in three severely affected cities in Malaysia i.e., Selangor state, Putrajaya, and Kuala Lumpur. SmartPLS was used to analyse the data. Using structural equation modelling, this study result shows risk, protection motivation, and fear have a significant effect on the desire to stay a shorter time at the shopping mall. Social norm moderates the association between fear and the desire to spend a shorter time at the shopping mall. These findings, highlight the need for a more empirical study to design more robust strategies, and a safer and risk-free shopping mall environment.

The Impact of Data Management on the Achievable Dose and Efficiency of Computed Tomography During the COVID-19 Era: A Facility-Based Ambispective Study.

Purpose: This study primarily aimed to evaluate the effectiveness of computational data management and analytical software for establishing departmental diagnostic reference levels (DRLs) for computed tomography (CT) scanning in clinical settings, and monitor achievable doses (ADs) for CT imaging, particularly during the coronavirus disease 2019 (COVID-19) era. Secondarily, it aimed to correlate these standards with national and international benchmarks. Patients and Methods: This ambidirectional cohort study enrolled 4668 patients (6419 CT-based examinations) who visited King Fahd Hospital of the University from May 25, 2021, to November 4, 2021. Participants' demographic data were acquired from their electronic medical charts, in addition to all corresponding CT-dose determinant parameters. The study was divided into two phases (pre- and post-data management) based on the implementation of digital data management software. Results: In both phases of the study, the size-specific dose estimate (SSDE) was the most significant confounder of dose determination compared to the dose-length product (DLP) and computed tomography dose index (CTDI) (P = 0.003). The head was the most frequently imaged body region (pre-implementation, 1051 examinations [35.1%]; post-implementation, 1071 examinations [31.3%]; P = 0.001), followed by the abdominal region (pre-implementation, 616 examinations [20.6%]; post-implementation, 256 examinations [7.48%]; P = 0.001). Based on the SSDE, DLP, and volume CTDI, the average per-section radiation exposure among organ-based scanning type was highest for the lumbar spine during the pre- and post-implementation periods. Conclusion: Data management software enabled the establishment of DRLs and reduction of ADs in CT examinations, which consequently improved key performance indicators, despite the ergonomic complexities of COVID-19. Institutions are encouraged to apply DRLs and ADs via automatic systems that monitor patient dose indices to evaluate aggregate results.

Advances on concrete strength properties after adding polypropylene fibers from health personal protective equipment (PPE) of COVID-19: Implication on waste management and sustainable environment.

Using Health personal protective equipment (PPE) such as face masks, safety foot shoes and protective suits has expanded dramatically due to COVID-19 pandemic leading to a widespread distribution of the PPE, particularly the face masks, in the environments including streets, dump sites, seashores and other risky locations. The environmental degradation of polypropylene, the essential plastic component in single-use face masks (SUM), takes between 20 and 30 years and thus it is essential to develop experimental approaches to recycle the polypropylene or to reuse it in different ways. This paper explores the integration of SUM into concrete structures to improve its mechanical properties. We first to cut the inner nose wire and ear loops, then distribute the PPE material among five different mixed styles. The PPE were applied by volume at 0%, 1%, 1.5%, 2.0%, and 2.5%, with tests focusing on UCS, STS, FS, and PV to determine the concrete's overall consistency and assess the improvement in its mechanical properties. The results showed that adding PPE improves the strength properties and general performance of the concrete specimens. The pattern of rising intensity started to fade after 2%. The findings demonstrated that adding PPE fibers enhanced the UCS by 9.4% at the optimum 2% PPE. The PPE fibers, on the other side, are crucial in calculating the STS and FS of the reinforcement concrete.

Assessment of supplied water quality during mass gatherings in arid environments.

Mass gathering events commonly encounter environmental challenges that necessitate assurance of water quality and food security. The current outbreak of the coronavirus disease 2019 (COVID-19) call for maintaining safe drinking water supply and providing assessment tools of drinking water quality to avoid contamination in water sources or distribution networks. Arid environmental conditions also add more stress on supplied water to mass gathering events. Herein, we assess the quality of the water supply (desalinated 95% and groundwater 5%) in Makkah city, Saudi Arabia during a mass gathering event in 2019 (9.6 million people) for religious purposes. Fifty five samples were randomly collected from nine different districts of Makkah city, analyzed for TDS, turbidity, pH, EC, free Cl2, Al, Cd, Pb, Cr, F, major ions, coliform and E.coli bacteria and were finally used to estimate the water quality index (WQI). Major ions, trace elements and heavy metals analyses show values below permissible limits in most of the samples, while a few samples show slightly higher values. No bacterial count found in any sample. WQI values of all fifty-five samples were below 50 and were identified as "excellent water". The WQI variations could be attributed to the distribution network conditions rather than a direct impact of adding groundwater with uncontrolled chemical composition. The use of WQI to report the quality of water during mass gathering events to governmental authorities has been proved to be beneficial and should be applied for further mass gathering events worldwide.

Evaluation of E-Learning in Higher Education during COVID-19 Pandemic: A Case Study in University of Sulaimani

This research investigates e-learning in higher education during the global COVID-19 epidemic. This airborne virus has affected the daily lives, social interactions and education of highly populated cities. Universities have faced many challenges in this pandemic to reduce likelihood of infection in the highly dense student population;by transitioning from traditional teaching to e-learning. The University of Sulaimani, based in Kurdistan Region of Iraq suspended the majority of classes on campus to reduce rates of infection. The adaptation of using e-learning system was novel for the University of Sulaimani, due to socio-economic factors, and lack of experience. This study employed a quantitative approach, by using a self-report questionnaire for collecting primary data. The data has been collected via an online survey in the University of Sulaimani to analyse the e-learning experience, from students and teaching staff perspective during COVID-19 pandemic. The results revealed a variety of factors impacting on the e-learning experience. This included a lack of facilities ICT infrastructures, e-resources and access to the internet. Thus, the ICT infrastructure needs to be updated with e-resources and appropriate IT facilities, with support for students who do not have access to electronic equipment. In this way e-learning would be successfully deployed in higher education during any crises, such as COVID-19 pandemic. CCS CONCEPTS •Applied computing Education E-learning © 2021 ACM.

Effect of COVID-19 on control of T1DM patients in Aseer region of Saudi Arabia.

BACKGROUND: The novel corona virus disease, also known as COVID-19, has emerged as a major health concern globally. Its association with comorbid condition has increased its mortality. Diabetes mellitus (DM) is associated with increased risk of infection in comparison to general population. This risk is higher in type 1 DM that type 2 DM. METHODS: A cross sectional study was done in T1DM patients in whom a structured questionnaire was administered after lockdown. Data regarding social demographical variables, Information regarding sugar levels, psychological effects, changes in weight, exercise habits and other variables were included in the validated, electronic questionnaire. Ethic approval was obtained from the Diabetic center Abha, study duration was from January-2020 to October-2020. RESULTS: Out of 143 total patients (46.9%) were males while 53.1% were females. Mean ± S.D of age was obtained 29.6 ± 1.8. [Figure 1] depicted that 23% of the respondents were effected psychologically. [Figure 2] depicted that 80.4% used insulin as a treatment. [Figure 3] depicted that 8% of the respondents make an emergency visit to the health care centers for high rise in diabetes during lockdown. CONCLUSION: COVID-19 and the lockdown affected the management of T1DM. It resulted in changes in lifestyle, compliance to medication, and psychological impact on the participant.

Assessing the air quality of megacities during the COVID-19 pandemic lockdown: a case study from Makkah City, Saudi Arabia

Many countries are concerned about how concentrations of outdoor air pollutants have decreased due to control measures aftermath of the COVID-19 outbreak. In Saudi Arabia, the measures started with suspending entry to Saudi Arabia on February 27, 2020, and ended with full prevention of Saudis for outdoor movement on April 2, 2020, until the back return to normal life by the start of September 2020. These measures are expected to impact air quality levels during this period by decreasing the concentrations of air pollutants. This paper investigates the major trends of ambient air pollution (SO2, NO2, CO, O3, and PM10), and maps the spatiotemporal variability of air pollutants in Makkah city, using a continuous air quality monitoring network (6 sites) during the pre-pandemic period. Findings indicate the presence of a significant decrease of concentration rates during the lockdown period, compared with the pre-pandemic period, by 26.34% for SO2, 28.99% for NO2, 26.24% for CO, 11.62% for O3, and 30.03% for PM10. Therefore, the vehicular traffic activities represent 25–30% of the total air pollution load in Makkah city. The COVID-19 lockdown conditions in Makkah provide a unique opportunity to evaluate the impact of the reduction of vehicular traffic activities on the air quality levels of Makkah city and similar mega-cities and introduce credible solutions to improve the conditions of the ambient environment and air quality in such settings.