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1.
Ecological Questions ; 34(2):24-24, 2023.
Article in English | Web of Science | ID: covidwho-2309253

ABSTRACT

In recent years, the interaction of people with the surrounding ecological environment has become increasingly unsafe for health, namely the person' physical and mental capabilities. This is especially true of the younger generation, like students of higher educational institutions, who have weakened immunity due to a busy study schedule, constant mental overload and stress. That is, health, as a sign of the quality of life of a student, is associated with the ecological situation and lifestyle, therefore, is one of the main concepts of human ecology. The influence of additional negative factors, such as stress and restrictions associated with the Covid-19 pandemic, greatly increases the risk of developing students' mental health problems. Unexpected isolation related to Covid-19 has caused disruption to daily routines, especially in students. The sudden change in the learning environment and limited social interactions and activities posed an unusual situation for children's developing brains. The study aim is to investigate and identify the psychological threats posed by students of different ages (under 20, between 21-25, and 26-32) in this pandemic of COVID-19. It was found that 28.0% of students were often nervous and stressed in the age group under 20, in contrast to 26.5% and 11.1% in groups 21 to 25 and over 26, respectively. In the younger group of students, 10.2% of students never felt upset, in the group of 21-25 years old - 8.3% and over 26 years old - 5.6%. It was concluded that it is mandatory to assess the student's psychological health and to plan for necessary support mechanisms, mainly during the recovery phase, because depression, stress, fear of getting infected, fear of losing a loved one, fear about getting jobs and related academic issues, disturbance in sleeping pattern, increase in duration of screen time, etc., were found to be common among students of all age groups.

2.
29th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2191840

ABSTRACT

The Covid-19 outbreak has caused disruptions in the education sector, making remote education the dominant mode for lecture delivery. The lack of visual feedback and physical interaction makes it very hard for teachers to measure the engagement level of students during lectures. This paper proposes a time-bounded window operation to extract statistical features from raw gaze data, captured in a remote teaching experiment and link them with the student's attention level. Feature selection or dimensionality reduction is performed to reduce the convergence time and overcome the problem of over-fitting. Recursive feature elimination (RFE) and SelectFromModel (SFM) are used with different machine learning (ML) algorithms, and a subset of optimal feature space is obtained based on the feature scores. The model trained using the optimal feature subset showed significant improvement in accuracy and computational complexity. For instance, a support vector classifier (SVC) led 2.39% improvement in accuracy along with approximately 66% reduction in convergence time. © 2022 IEEE.

3.
4th IEEE Global Power, Energy and Communication Conference, GPECOM 2022 ; : 644-649, 2022.
Article in English | Scopus | ID: covidwho-1973467

ABSTRACT

Smart building technologies transform buildings into agile, sustainable, and health-conscious ecosystems by leveraging IoT platforms. In this regard, we have developed a Persuasive Energy Conscious Network (PECN) at the University of Glasgow to understand the user-centric energy consumption patterns in an agile workspace. PECN consists of desk-level energy monitoring sensors that enable us to develop user-centric models that can be exploited to characterize the normal energy usage behavior of an office occupant. In this study, we make use of staked long short-term memory (LSTM) to forecast future energy demands. Moreover, we employed statistical techniques to automate the detection of anomalous power consumption patterns. Our experimental results indicate that post-anomaly resolution leads to 6.37% improvement in the forecasting accuracy. © 2022 IEEE.

4.
New Emirates Medical Journal ; 3(1):54-58, 2022.
Article in English | Scopus | ID: covidwho-1910812

ABSTRACT

Background: The use of non-invasive ventilation (NIV) as a therapy for acute respiratory distress syndrome (ARDS) secondary to COVID-19 pneumonia has been controversial. NIV is an aerosol generating procedure which may increase the risk of viral transmission amongst patients and staff. Because of fear of aerosolizing the virus and transmitting the disease, initial expert recommendation was to avoid NIV and proceed with early intubation. With further experience of the virus, this recommendation has been challenged and NIV has been used widely with some retrospective studies quoting between 11 to 56 percent of COVID-19 related respiratory failures being treated with NIV. Objective: The objective of this study is to assess the efficacy and safety of using non-invasive mechanical ventilation as an alveolar recruitment method for patients with severe COVID-19 pneumonia. This method was used by our respiratory team on selected patients during the early phase of the COVID-19 pandemic. Methods: We reviewed the charts of patients that were admitted to the American Hospital Dubai intensive care unit, or our medical step-down unit who had diffuse bilateral infiltrates requiring oxygen supplementation between March and October 2020. We identified patients who were on intermittent BiPAP in addition to standard care. We also monitored the rate of infection among staff taking care of these patients. Results: Average length of stay after starting BIPAP therapy was 6.8 days, while the average total length of stay was 13.6 days. Only one patient was transferred to the ICU after being on the BIPAP protocol and did not need intubation. All patients were discharged home either without oxygen or with their chronic baseline home oxygen requirement. Radiological improvement in aeration was seen in 100% of patients at follow-up x-ray post-intervention. There were no reported pulmonary complications from barotrauma, such as pneumothorax or pneumomediastinum. There were no reported cases of staff infection to the health care workers that were taking care of these patients. Conclusion: Our first of its kind observational study showed clearly that using BIPAP therapy for one hour three times daily during nebulization therapy in addition to standard care resulted in a significant reduction in hospital length of stay and hastened the clinical and radiological improvement of patients with severe COVID-19 pneumonia. © 2022 Zouwayhed et al.

5.
13th IEEE Global Engineering Education Conference, EDUCON 2022 ; 2022-March:670-676, 2022.
Article in English | Scopus | ID: covidwho-1874205

ABSTRACT

The outbreak of the COVID-19 pandemic has caused unprecedented disruption to education and progressed remote teaching as a predominant model for delivering educational content. However, the online teaching and learning model has its challenges, such as the lack of technological tools to quantity the student attention and engagement with the learning content. This paper focuses on developing an e-learning framework for capturing and analysing the students' attention during remote teaching sessions and subsequently profiling their learning behaviour leveraging eye-tracking data. Our proposed eye-tracking solution deploys a webcam to capture and track raw gaze points that grant the user the freedom of natural head movement and scalability compared to conventional eye-tracking approaches. We derived various gaze metrics in conjunction with state-of the-art machine learning (ML) models like logistic regression, support vector machine and polynomial regression to classify the student attention with an accuracy above 91%. Furthermore, our findings can help in the early detection and diagnosis of attention deficit hyperactivity disorder (ADHD) among students, thus supporting their learning journeys by creating an adaptive learning environment tailored to their needs. © 2022 IEEE.

6.
13th IEEE Global Engineering Education Conference, EDUCON 2022 ; 2022-March:640-643, 2022.
Article in English | Scopus | ID: covidwho-1874198

ABSTRACT

The COVID-19 pandemic has accelerated our transition to an online and self-directed learning environment. In an effort to design better e-learning materials, we investigated the effectiveness of collecting psychophysiological eye-tracking data from participants in response to visual stimuli. In particular, we focused on collecting fixation data since this is closely related to human attention. Current wearable devices allow the measurement of visual data unobtrusively and in real-time, leading to new applications in wearable technology. Despite their accuracy, head-mounted eye trackers are too expensive for deployment on large-scale deployment. Therefore, we developed a low-cost, webcam-based eye tracking solution and compared its performance with a commercial head-mounted eye tracker. Four-minute lecture slides on the 3rd year electronic engineering course were presented as stimuli to eight learners for data collection. Their eye movement was collected within the pre-defined area of interest (AOI). Our results demonstrate that a low-cost webcam-based eye-tracking solution, combined with machine learning algorithms, can achieve similar accuracy to the head-worn tracker. Based on these results, learners can use the eye tracker for attention guidance. Our work also demonstrates that these webcam-based eye trackers can be scaled up and used in large classrooms to provide real-time information to instructors regarding student attention and behaviour. © 2022 IEEE.

7.
Environmental Research Letters ; 17(3):9, 2022.
Article in English | Web of Science | ID: covidwho-1740723

ABSTRACT

Akin to respiratory tract infection diseases, climatic conditions may significantly influence the COVID-19 epidemic. Since the beginning of the COVID-19 pandemic, significant efforts have been made to explore the relationship between climatic condition and growth in number of COVID-19 cases. Contentious findings of either positive, negative, or no association with climatic conditions have been reported in many studies based on some early data on COVID-19 cases over a shorter time span. We integrate COVID-19 datasets with long meteorological time series of 29 countries to explore cross-country variation in COVID-19 cases and death rates with respect to temperature and relative humidity. Our empirical study reveals that temperature and relative humidity jointly influence the growth of COVID-19 cases and death rates. We generate predictive scenarios for changes in daily cases and death rates under different combinations of temperature and relative humidity. Low temperature with low humidity in a temperate climate and high temperature with high humidity in a hot and humid climate are found to surge the growth of COVID-19 cases and death rates. These relationships and our predictive scenarios can be applied to generate early warning for any future outbreak to adopt stringency policies, kick-start economic activities, prepare healthcare service plans, and target vaccination coverage.

8.
Open House International ; 2021.
Article in English | Scopus | ID: covidwho-1541641

ABSTRACT

Purpose: The unparalleled crisis due to the COVID-19 pandemic has displaced the existing normal in every field of higher education. Especially architecture education with high dependence on institutional studio based pedagogical participation has been affected. Consequently, there is a critical necessity to reinvigorate pedagogical approaches in order to ensure continuity of pedagogical pursuits. Design/methodology/approach: A systematic approach is used to conduct an interdisciplinary study. The research mainly attempts to externalize the basics of virtual design studio composition. In concurrence role of instructional design in providing an underlying framework for enabling virtual discourse is also explored. Primarily, the process commenced by identifying objectives and queries which needed to be addressed. In order to deal with the concerns rationally, the research used exploratory approach. The primary data were based on focus group interactions. The secondary data were based on relevant subject-oriented literature reviews;explicit information based. Explanatory mode of analysis is used to interpret the outcome. Findings: A pedagogical design;an instructional design process model for effectively structuring the virtual design studio has evolved as part of the research. In addition detailed insights have been derived about the key integrals that make up the constituent phases of the virtual design studio. Research limitations/implications: The research provides insights into the methodological structure of virtual design studio. The inferences would provide the pedagogues a comprehensive and rational overview to envision and conduct architecture studio discourse virtually. Originality/value: The study presents a unique contribution to the limited literature available on virtual design studio pedagogy and instructional design in virtual mode. © 2021, Emerald Publishing Limited.

9.
Open House International ; 46(4):510-527, 2021.
Article in English | Scopus | ID: covidwho-1532654

ABSTRACT

Purpose: The Covid-19 crisis has inflicted a disruptive impact on the conventional institutional format of architecture studio pedagogy. As a result, there is a critical suddenness for an alternative approach to ensure continuity. The research pursues is to pursue a multidisciplinary study with a focus on the following domains: architecture, the science of learning and e-learning architecture. Inference from the study would become the basis for a theoretical proposition for improvement of the existing pedagogical framework. Moreover, the literature would add valuable insights to the knowledge base. Design/methodology/approach: An exploratory research approach is used for this study. The inquiry-based approach enlightens on the role of the architect in society. Also, the nature of architectural design education that existed prior to the Covid-19 outbreak is examined. Further, the paper explores the impact of the paradigm shift from institutional mode to e-learning mode overnight. Purposefully multi-disciplinary studies are pursued to develop a broad understanding of the associated domains. This could effectively contribute to developing an effective pedagogical framework. This would facilitate the conduct of architecture studio discourse in a structured manner during the current scenario. Findings: The confluence approach – a theoretical proposition for effective structuring of architecture studio pedagogy has evolved as part of the research. Further, the proposed virtual learning pyramid enlightens on the drive to continue on with augmentation of students existing creative acumen. Which is one of the universally sought-after goals of studio pedagogy even during times of uncertainties. Research limitations/implications: Pedagogues would find the study very meaningful for the conduct of architecture design studio in e-learning mode. They would also acquire a broad understanding of factors to be considered. The research would pave way for future studies in this area from a multi-disciplinary perspective. Social implications: The current Covid-19 crisis deters architecture studio discourse from being conducted in an accustomed institutional format. Therefore, it becomes important for institutions to ensure continuity of architectural education with the help of new measures. In concurrence, the research envisions an alternative approach: virtual design studio using e-learning mode. This would ensure continuity of architectural education even when the instructor and students are separated in either time or place. Originality/value: The study presents a unique contribution to the limited literature available on architecture studio pedagogy during the e-learning scenario. © 2021, Emerald Publishing Limited.

10.
Journal of Community Positive Practices ; 21(1):3-7, 2021.
Article in English | Scopus | ID: covidwho-1215906

ABSTRACT

There are important gender determinants to both men's and women's susceptibility to COVID-19. Emerging findings confirm men are dying disproportionately at a higher rate than women. Such gender differences in deaths have informed scholars to widen their analytical look through a critical masculinity lens. As the practices to respond to the context of the gendered burden of disease are still inadequate and nearly absent on men's health, it is suggested to specifically focus on men's vulnerability to COVID-19 with appropriate interventions. © 2021. All Rights Reserved.

11.
Pakistan Journal of Medical and Health Sciences ; 14(4):1303-1305, 2020.
Article in English | Scopus | ID: covidwho-1061673

ABSTRACT

Objective: To assess the electrocardiographic (ECG) changes and their outcome during hospitalization of COVID-19 patients, not yet been comprehensively studied before. Study Design: Cross sectional study for 6months. Place and Duration: Department of medicine, cardiology in POF hospital Wah Cantt from 16th March to 15th September 2020. Materials and Methods: Patients who are diagnosed case of corona virus disease confirmed by COVID 19 PCR test were included in this study. There was no age and gender discrimination. Patients of any age (children, Adolescent, adults and old age) either gender were included in this study. Data of about 100 patients was collected. Non probability consecutive sampling technique was used. Then nasopharyngeal swab sample was taken for COVID-19 PCR testing. The report was collected from the laboratory. ECG was done in order to look for characteristic changes. Outcome was measured in terms of 30 days mortality. Results: 100 patients presenting with corona virus disease were enrolled. The mean age of study patients was 46 + 24 years ranging from 20 to 80 years.70 % of male &30 % of female. Death rate in male is 10% and female is 20%. 64% study patients having age more than 50 years, 36% patients having age lees than 50 years. Highest death rate occurred in old age group Patients with ESRD and COPD are more prone to death due to COVID-19 infection. Conclusions: Corona Virus disease is associated with different types of ECG abnormalities and associated with high mortality rate. © 2020 Lahore Medical And Dental College. All rights reserved.

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