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It is usually hard for unfamiliar partners to rapidly 'break the ice' in the early stage of relationship establishment, which hinders the development of relationship and even affects the team productivity. To solve this problem, we proposed a collaborative serious game for icebreaking by combining immersive virtual reality (VR) with brain-computer interface based on the team flow framework. We designed a multiplayer collaboration task with the theme of fighting COVID-19 and proposed an approach to improve empathy between team members by sharing their real-time mental state in VR;in addition, we propose an EEG-based method for dynamic evaluation and enhancement of group flow experience to achieve better team collaboration. Then, we developed a prototype system and performed a user study. Results show that our method has good ease of use and can significantly reduce the psychological distance among team members. Especially for unfamiliar partners, both functions of mental state sharing and group flow regulation enhancement can significantly reduce the psychological distance. © 2023 IEEE.
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Background: The pandemic of Covid-19 impeded all socio-economical, pedagogic, and recreational activities. Pakistan is facing an intensified educational crisis due to previous educational differences, so the era of the pandemic has shown difficulties in the educational framework. Aim(s): Awareness among parents and students to combat challenges of pandemic. Method(s): The current study is based on random quantitatively study which gathered data from 300 respondents assembled from different areas of Lahore, Pakistan from June 2020 to July 2021. The responses were collected from students, teachers, and parents that how homeschooling compromises student's physical, psychological, and emotional health. Result(s): About 76% of the students favoured traditional classes over online classes whereas only 20% of the students found the online session interactive. In the other section, only 15.33% of the teachers were satisfied by the online results and they complained about the poor performance and interaction with the students. Overall, 81.67% parents agreed that there is a decline in the physical activity of their children. The results of this study suggested that social distancing and the emerging challenges associated with Covid- 19 have entirely changed the education system that has caused number of problems for children, parents, and teachers in Pakistan. Practical implication: This study highlights pros and cons of online study;such studies give students and teachers a way to prepare for future challenges. Conclusion(s): Considering all outcomes of study, it is highlighted that policy-level interventions were needed, along with well-designed interactive courses. Hence, integrated approaches based on the mental as well as physical capabilities of the students must be executed, and e-tools must also be practiced in traditional classes to fill the gap of homeschooling.Copyright © 2023 Lahore Medical And Dental College. All rights reserved.
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After some initial hesitancy at the beginning of the COVID-19 pandemic, the academic community agreed that the infection process is mostly airborne and generally associated with closed environments. Therefore, assessing the indoor infection probability is mandatory to contain the spread of the disease, especially in those environments, like school classrooms, hospital wards or public transportation, with higher risk of overcrowding. For this reason, we developed a software tool in Python to compute infection probability and determine those mechanisms that contribute to reduce its diffusion in closed settings. In this paper, we will briefly illustrate the model we used and focus our attention on the description of the main features of the software and give some examples of how it can be used in clinical practice to predict the spread of the disease in the rooms of a generic ward, optimize room occupancy or drive healthcare workers activity schedule. Finally, some limitations and further implementations of our work will be reported.
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Basic local alignment search tool (BLAST) is one of the popular sequence similarity analysis tools. However, some students and researchers just blindly use the default parameters. Moreover, some students are confused about how to choose the right program. In a word, it is prone to be misused and researchers often draw conclusions incorrectly. In view of this, we traced back the internet hot topic in early 2020 - "MORDERATELY STRONG CONFIRMATION OF A LABORATORY ORIGIN OF COVID-19", and took it as teaching materials to guide the student to use BLAST currently through reanalyzing and reproducing the source of errors. Then we arranged an interesting experiment about fabricating dinosaur genes through modifying a chicken gene. In the experimental design to make the students grasp the BLAST tools better, one group fabricated the dinosaur gene and the other group decrypted the added bases. This instructional design could be conducive to cultivate students ' ability about distinguishing different viewpoints correctly, and we hope it can be enlightening and helpful to the teaching of BLAST tools.Copyright © 2022 by the authors.
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Lung ultrasound (LUS) is possibly the only medical imaging modality which could be used for continuous and periodic monitoring of the lung. This is extremely useful in tracking the lung manifestations either during the onset of lung infection or to track the effect of vaccination on lung as in pandemics such as COVID-19. There have been many attempts in automating the classification of the severity of lung involvement into various classes or automatic segmentation of various LUS landmarks and manifestations. However, all these approaches are based on training static machine learning models which require a significantly large clinically annotated dataset and are computationally heavy and are most of the time non-real time. In this work, a real-time light weight active learning-based approach is presented for faster triaging in COVID-19 subjects in resource constrained settings. The tool, based on the you look only once (YOLO) network, has the capability of providing the quality of images based on the identification of various LUS landmarks, artefacts and manifestations. This tool also predict the severity of lung infection and make use of the possibility of active learning based on the feedback from clinicians or on the image quality. The capability of this tool to summarize the significant frames which are having high severity of infection and high image quality will be helpful for clinicians to discern things more easily. The results show that the proposed object detection tool has a mean average precision (mAP) of 66% at an Intersection over Union (IoU) threshold of 0.5 for the prediction of LUS landmarks with initial training on less than 1000 images. The 14MB lightweight YOLOv5s network achieves 123 FPS while running on a Quadro P4000 GPU. The tool is available for usage and analysis upon request from the authors and details can be found online.
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COVID-19 Self-Monitoring Tool (COV-SMT) is the research developed to address multiple issues in monitoring quarantined individuals due to COVID-19 infection. As COVID-19 is still highly infectious despite the availability of vaccines, the implementation of contactless Internet of Things (IoT) technology should be encouraged to minimize the need for medical staff to perform daily health checks and thus prevent them from being directly infected during checking. This research aims to develop an effective method to monitor quarantined individuals regarding their vital signs, such as body temperature, heart rate, and oxygen level. A contactless self-monitoring tool integrated with a stages algorithm is developed to monitor these quarantined individuals with the help of IoT technology. It can provide a consistent platform for patients or users to transfer information or data through networks, including personalized healthcare domains. COV-SMT is an effective tool to streamlet the overall process of taking measurements from quarantined individuals. It integrates multiple sensors into one tool while providing a better overall picture with its graphical presentation to help patients and medical staff better understand their health conditions. © 2023, International Journal of Interactive Mobile Technologies. All Rights Reserved.
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IntroductionEffective communication of COVID-19 information involves clear messaging to ensure that readers comprehend and can easily apply behavioral recommendations. This study evaluated the readability, understandability, and actionability of public health resources produced by the four provincial governments in Atlantic Canada (New Brunswick, Newfoundland and Labrador, Nova Scotia, and Prince Edward Island). MethodsA total of 400 web-based resources were extracted in June 2022 and evaluated using the Flesch-Kincaid Grade Level, CDC Clear Communication Index, and the Patient and Education Materials Assessment Tool. Descriptive statistics and a comparison of mean scores were conducted across provinces and type of resources (e.g., text, video). ResultsOverall, readability of resources across the region exceeded recommendations, requiring an average Grade 11 reading level. Videos and short form communication resources, including infographics, were the most understandable and actionable. Mean scores across provinces differed significantly on each tool;Newfoundland and Labrador produced materials that were most readable, understandable, and actionable, followed by New Brunswick. DiscussionRecommendations on improving clarity of COVID-19 resources are described. Careful consideration in the development of publicly available resources is necessary in supporting COVID-19 knowledge uptake, while reducing the prevalence of misinformation.
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Background: The outbreak of the COVID-19 pandemic, the constant transformation of the SARS-COV-2 virus form, exposure to substantial psychosocial stress, environmental change, and isolation have led to the inference that the overall population's mental health could be affected, resulting in an increase in cases of psychosis. Objective(s): We initiated a systematic review to determine the impact of the SARS-COV-2 virus and its long-term effects-in both symptomatic and asymptomatic cases-on people with or without psychosis. We envisioned that this would give us an insight into effective clinical intervention methods for patients with psychosis during and after the pandemic. Method(s): We selected fifteen papers that met our inclusion criteria, i.e., those that considered participants with or without psychiatric illness and exposed to SARS-COV-2 infection, for this review and were retrieved via Google, Google Scholar, MEDLINE, PubMed, and PsychINFO Database. Key Gap: There is a dearth of research in understanding how COVID-19 affects people with or without a prior personal history of psychosis. Result(s): The systematic review summary provides insight into the state of knowledge. Insights from the systematic review have also been reviewed from the salutogenesis model's perspec-tive. There is moderate evidence of new-onset psychosis during the COVID-19 pandemic in which some antipsychotics treated the psychotic symptoms of patients while treating for COVID-19. Suggestions and recommendations are made for preventive and promotive public health strategies. Conclusion(s): The Salutogenesis model and Positive Psychology Interventions (PPI) provide another preventive and promotive public health management approach.Copyright © 2023 Bentham Science Publishers.
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Multimedia is a diversified and powerful means to strengthen and aid the education methodology, by making learning interactive and interesting, this paper further justifies the same. The Internet acts as a gateway between multimedia producers and consumers. It is free from discipline boundaries. Several tools allow nontechnical educators to deal with diverse multimedia to create the learning material. These tools should stand fit some parameters, briefly discussed. Its employment is rapidly magnifying, enabling self-learning, which was boosted in the Covid era. This paper emphasizes on to prevent traditional teaching from being used as a supplement but should be primary. Various hiccups in its efficient use in education still prevail but are heading toward resolution. © 2023 Bharati Vidyapeeth, New Delhi.
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This paper aims to understand what motivates students at universities in Indonesia to continue using Online Collaborative Tools (OCTs) for their collaboration work. Utilising OCTs is crucial as the COVID-19 pandemic hit us in 2019 and forced all of us, particularly those who studied at university, to work online as precautionary measures. This research employs the Post-Acceptance Model of Information Systems (IS) approach to understand this issue. For an OCT to continue use, performance: effectivity, efficiency, and certainty is the key determinant, and perceived usability: perceived usefulness, perceived ease of use, and perceived enjoyment mediates confirmation and satisfaction and the intention to continue use. A total of 354 participants are involved in the data analysis employing Structural Equation Modelling (SEM). Our results revealed that while the relationship between confirmation and satisfaction is partially mediated by perceived ease of use and enjoyment, the relationship between confirmation and intention to continue use is also partially mediated by perceived usefulness and enjoyment, and satisfaction. We found that the intention to continue using the OCT can be determined by 67.9% (substantial) of the variance of the model. Our research contributes theoretically to the IS research in this context and practically to the OCT discourse. Limitations and future research directions are discussed © 2023, International Journal of Emerging Technologies in Learning.All Rights Reserved.
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The pandemic situation is affected in various ways in the education domain. The sudden transformation from offline to online teaching-learning process made students and teachers use different tools like WhatsApp for communication. The reason for this consideration is to investigate the impacts of WhatsApp utilized for instruction and decide the suppositions of understudies towards the method. The study is designed, keeping in mind the current COVID-19 situation and how it affected the education system turning it into online mode. On different questionnaires, regression and heatmap analysis is performed. The investigation showed that both learning situations have diverse impacts on the victory of understudies while supporting the conventional environment by utilizing WhatsApp is more successful for the increment of victory. The assessment moreover showed that students had superior pleasant reviews closer to the usage of WhatsApp in their courses. They requested the same workout in their one-of-a-kind courses as well. They expressed that picking up information can moreover take out unwittingly and the messages with pics were more prominent and viable for their picking up information. Be that as it may, some college understudies have communicated harming audits approximately the timing of a few posts and the repetitive posts within the bunch. At long last, it is supported that the utilization of WhatsApp within the preparing framework is to be energized as a steady innovation. . © 2023 IEEE.
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Objectives: Meta-analyses have investigated associations between race and ethnicity and COVID-19 outcomes. However, there is uncertainty about these associations' existence, magnitude, and level of evidence. We, therefore, aimed to synthesize, quantify, and grade the strength of evidence of race and ethnicity and COVID-19 outcomes in the US. Method(s): In this umbrella review, we searched four databases (Pubmed, Embase, the Cochrane Database of Systematic Reviews, and Epistemonikos) from database inception to April 2022. The methodological quality of each meta-analysis was assessed using the Assessment of Multiple Systematic Reviews, version 2 (AMSTAR-2). The strength of evidence of the associations between race and ethnicity with outcomes was ranked according to established criteria as convincing, highly suggestive, suggestive, weak, or non-significant. The study protocol was registered with PROSPERO, CRD42022336805 Results: Of 880 records screened, we selected seven meta-analyses for evidence synthesis, with 42 associations examined. Overall, 10 of 42 associations were statistically significant (p <= 0.05). Two associations were highly suggestive, two were suggestive, and two were weak, whereas the remaining 32 associations were non-significant. The risk of COVID-19 infection was higher in Black individuals compared to White individuals (risk ratio, 2.08, 95% Confidence Interval (CI), 1.60-2.71), which was supported by highly suggestive evidence;with the conservative estimates from the sensitivity analyses, this association remained suggestive. Among those infected with COVID-19, Hispanic individuals had a higher risk of COVID-19 hospitalization than non-Hispanic White individuals (odds ratio, 2.08, 95% CI, 1.60-2.70) with highly suggestive evidence which remained after sensitivity analyses. Conclusion(s): Individuals of Black and Hispanic groups had a higher risk of COVID-19 infection and hospitalization. These associations of race and ethnicity and COVID-19 outcomes existed more obviously in the pre-hospitalization stage. More consideration should be given in this stage for addressing health inequity.Copyright © 2023
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Social virtual reality (VR) platforms have increased in popularity with many people turning to these platforms to experience social connection, including a rapid influx of users during the COVID-19 pandemic. However, there is limited understanding of how people appropriate and use emerging social VR applications to actively support their mental health and wellbeing in daily life. Through an online questionnaire and exploratory interviews conducted within the social VR app VRChat during the COVID-19 pandemic, we document how social VR is being used explicitly as a mental health support tool. Participants reported positive wellbeing benefits, mostly attributed to the anonymity provided by avatars and perceived safety within digital worlds and communities of practice. We also report how people use social VR to practice social interaction, reduce negative thoughts and form strong social bonds and connections with others. © 2023 ACM.
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Background: COVID-19 pandemic times forced health education to go online, and, due to this necessity, long-term difficulties in education such as bibliographic search in databases like PubMed might have worsened even when platforms such as PubMed provide helping mechanisms to the user. These difficulties or even complete lack of knowledge are, unfortunately, not well documented in the literature. Therefore, this study aimed to describe doubts, lack of knowledge and questions of researchers regarding bibliographic research in PubMed as well as to solve all of those doubts by developing a didactic e-book in relation to bibliographic research in PubMed. Methods: This cross-sectional and populational-based study was conducted between January and April 2021. In northern Brazil, a total of 105 dentistry undergraduate students (DUS) received an anonymous digital form (Google® Forms Platform) using a non-probabilistic "snowball” sampling technique. The digital form was composed of four blocks of dichotomous and multiple-choice questions. After signing the informed consent term, the DUS were divided into three groups according to their period/semester in the dentistry program during the study time (G1: 1st period/semester;G2: 5th period/semester and G3: 10th period/semester). A total of 25 questions referring to demographic, educational and knowledge data about how to do scientific research and how to use bibliographic search in PubMed were asked, and all data were presented as descriptive percentages and then analyzed using the Chi square and G tests. Results: From 105 (100%), G1 had 29/105 (27.6%);G2 had 37/105 (35.2%);G3 had 39/105 (37.2%), the average age was 22.34 years and most participants were female 85/105 (81%). Among our sample, 56/105 (53.4%) had not used any type of search strategy, and 96/105 (91.4%) used database research methods. The main database for literature search used was Scielo 92/105 (87.6%), and 63/105 (60%) had general questions or doubts about bibliographic research. All these data had statistical significance p < 0.0001. Conclusions: The results demonstrate a lack of knowledge and doubts in DUS from three different periods/semesters, and this collected information can help in the formation of didactic material to solve such doubts. © 2023 by the authors.
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The Covid-19 pandemic has brought the concept of frailty back to the centre of debate, particularly for its relevance as a determinant of health outcomes. Frailty is concept that has long been a used gerontology. Today, several theoretical models of frailty are proposed in the literature, with as many tools to operationalize it. This article provides a brief outline of the three main models of frailty and the corresponding measurement instruments. The choice of the model as well as the choice of the assessment tool are discussed in the light of the clinical objectives pursued by health professionals. More generally, this article highlights the value of assessing frailty in routine practice to determine health outcomes and adapt care to individual needs.Copyright © 2020 Editions Medecine et Hygiene. All rights reserved.
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Most Indonesian schools have to close immediately because of the COVID-19 pandemic, and there will be a quick transition to distance learning, requiring the usage of digital interventions. But the country's digital education infrastructure, particularly in rural schools, is not sufficiently developed to maintain and enhance students' learning outcomes. To address these problems Plickers (students response system) offers students an opportunity for a high-quality education while potentially reducing the cost of technology resources. This study enhanced integrated Plickers for learning mathematics in rural secondary schools. A quantitative and qualitative approach was used to examine how students participated in the learning and their perception, preferences, and motivation for using Plickers. The study involved 50 seventh graders, and 15 of them volunteered to participate in interviews. A paired samples t-Test revealed a significant difference between learning engagement on paper-based tests and learning engagement on Plickers-based tests. The majority of students also had positive opinions of Plickers, noting its usability, capacity to make learning more enjoyable, increase engagement in problem-solving, promote comprehension of the subject, and help students maintain their interest during class. While some students struggled to focus and thought Plickers was just a quiz tool that couldn't motivate them to learn. © 2023 IEEE.
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In this study in silico a candidate diagnostic peptide-based tool was designed in four stages including diagnosis of coronavirus diseases, simultaneously identifying of COVID-19 and SARS from other members of this family, specific identification of SARS-CoV2, and diagnosis of COVID-19 Omicron. Designed candidate peptides consist of four immunodominant peptides from the proteins of the SARS-CoV-2 spike (S) and membrane (M). The tertiary structure of each peptide was predicted. The stimulation ability of the humoral immunity for each peptide was evaluated. Finally, in silico cloning was performed to develop an expression strategy for each peptide. These four peptides have suitable immunogenicity, appropriate construct, and the ability to be expressed in E.coli. These results must be experimentally validated in vitro and in vivo to ensure the immunogenicity of the kit.Communicated by Ramaswamy H. Sarma.
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Background: Though the concept of burnout has been around for long, its significance is increasing nowadays owing to the demanding nature of jobs. The latest ICD-11 also provides a detailed description of Burnout syndrome. Physicians are at high risk for experiencing burnout and this becomes especially relevant in the ongoing COVID-19 pandemic. Aim: To determine the risk of burnout among medical faculty and its predictors, if any. Materials and Methods: This was a multicentric cross-sectional study that included medical faculty from four tertiary care government teaching hospitals in north India. A survey was conducted during the current COVID-19 pandemic to assess burnout using a structured online questionnaire based on Burnout Assessment Tool. The questionnaire also included relevant socio-demographic, professional, health, and lifestyle-related details. Descriptive statistics, Mann-Whitney U Test/Kruskal Wallis Test, and Kendall's tau-b Test were used for statistical analysis. Results: A total of 244 medical faculty completed the survey. 27.87% were at risk of burnout, out of which 11.89% were at a very high risk of burnout. Dissatisfaction with the job and dissatisfaction with sleep (P < 0.01 for both) were associated with greater burnout scores and a greater risk of burnout. Conclusion: Faculty members are at high risk of burnout, regardless of sociodemographic and work-related factors.
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Student nurses must be prepared professionally to provide nursing care, especially during a critical time such as COVID-19. Regardless of undergraduate nursing programmes focusing on preparedness for practice, the concept of preparedness for nursing practice is not well understood. In this descriptive quantitative study, we determined the extent of the nursing practice preparedness of graduating student nurses amid COVID-19 as perceived by these nurses and nurse educators and the possible interventions to enhance the preparedness for practice of these nurses. In the study, we used an adapted Nursing Practice Readiness Tool, employed the complete enumeration survey method and analysed through frequency, percentages and weighted means. A total of 118 student nurses and 51 nurse educators from a selected university completed the questionnaire. The data were analysed through SPSS version 25. The findings revealed that the scales, which ranked from greatest to lowest preparedness for practice, were: professionalism (4.83), communication (4.65), management of responsibilities (4.61), critical thinking (4.36), clinical knowledge (4.26), and technical skills (4.02). We concluded that the students' performance in the nursing competency items under clinical knowledge, critical thinking, and especially technical skills, demand increased attention to be better equipped as they transition into nursing practice. Specifically, of the 36 competency items, they were least prepared in using clinical and information technologies, and performing clinical procedures. Finally, as the top intervention, we proposed the development of contingency plans for unusual situations such as a pandemic (75.74%) to enhance the student nurses' preparedness for practice.