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There are different approaches that indicate the dynamic of the growth of microbe. In this research, we simulate the growth by utilizing the concept of fractional calculus. We investigate a fractional system of integro-differential equations, which covers the subtleties of the diffusion between infected and asymptomatic cases. The suggested system is applicable to distinguish the presentation of growth level of the infection and to approve if its mechanism is positively active. An optimal solution under simulation mapping assets is considered. The estimated numerical solution is indicated by employing the fractional Tutte polynomials. Our methodology is based on the Atangana-Baleanu calculus (ABC). We assess the recommended system by utilizing real data.COVID-19 ranges from asymptomatic in 35% of cases to severe in 20% of patients. Differences in the type and degree of inflammation appear to determine the severity of the disease. Recent reports show an increase in circulating monocytic-myeloid-derived suppressor cells (M-MDSC) in severe COVID 19 that deplete arginine but are not associated with respiratory complications. Our data shows that differences in the type, function and transcriptome of granulocytic-MDSC (G-MDSC) may in part explain the severity COVID-19, in particular the association with pulmonary complications. Large infiltrates by Arginase 1+ G-MDSC (Arg+G-MDSC), expressing NOX-1 and NOX-2 (important for production of reactive oxygen species) were found in the lungs of patients who died from COVID-19 complications. Increased circulating Arg+G-MDSC depleted arginine, which impaired T cell receptor and endothelial cell function. Transcriptomic signatures of G-MDSC from patients with different stages of COVID-19, revealed that asymptomatic patients had increased expression of pathways and genes associated with type I interferon (IFN), while patients with severe COVID-19 had increased expression of genes associated with arginase production, and granulocyte degranulation and function. These results suggest that asymptomatic patients develop a protective type I IFN response, while patients with severe COVID-19 have an increased inflammatory response that depletes arginine, impairs T cell and endothelial cell function, and causes extensive pulmonary damage. Therefore, inhibition of arginase-1 and/or replenishment of arginine may be important in preventing/treating severe COVID-19.Pure water will become a golden resource in the context of the rising pollution, climate change and the recycling economy, calling for advanced purification methods such as the use of nanostructured adsorbents. However, coming up with an ideal nanoadsorbent for micropollutant removal is a real challenge because nanoadsorbents, which demonstrate very good performances at laboratory scale, do not necessarily have suitable properties in in full-scale water purification and wastewater treatment systems. E6446 purchase Here, magnetic nanoadsorbents appear promising because they can be easily separated from the slurry phase into a denser sludge phase by applying a magnetic field. Yet, there are only few examples of large-scale use of magnetic adsorbents for water purification and wastewater treatment. Here, we review magnetic nanoadsorbents for the removal of micropollutants, and we explain the integration of magnetic separation in the existing treatment plants. We found that the use of magnetic nanoadsorbents is an effective option in water treatment, but lacks maturity in full-scale water treatment facilities. The concentrations of magnetic nanoadsorbents in final effluents can be controlled by using magnetic separation, thus minimizing the ecotoxicicological impact. Academia and the water industry should better collaborate to integrate magnetic separation in full-scale water purification and wastewater treatment plants.The economic development of the tourism in disadvantaged mountain areas has the role of sustaining their development and economic growth. The premise of a successful development of tourism in these areas is given by the authenticity of resources. This paper aims to highlight the strategic perspectives/outlook of tourism in disadvantaged mountain areas through the evaluation of strategic alternatives using the concerted analysis SWOT-AHP. The aim of this study is to support communities and actors involved in the phenomenon of tourism in disadvantaged mountain areas in order to achieve positive results and as much as possible with awareness and avoidance of risks, and prevention or combating negative consequences. During the research and analysis, in accordance with the literature, the issue of entrepreneurship was treated as a dependent variable, and the phenomenon of tourism as an independent variable. The vision of tourism planning in disadvantaged mountain areas must focus on its sustainable development that contributes to increasing entrepreneurial initiatives by diversifying and ensuring the complementarity of tourism services calibrated to the needs of tourists and adapted to new social challenges. The strategic planning in the area of the tourism of disadvantaged mountain areas represents a topical challenge in the context of promoting sustainable tourism. Currently, there is a strategy at national level for developing tourism, but there is no strategy for developing tourism in disadvantaged mountain areas.The industrial ecosystem has been unprecedentedly affected by the COVID-19 pandemic because of its immense contact restrictions. Therefore, the manufacturing and socio-economic operations that require human involvement have significantly intervened since the beginning of the outbreak. As experienced, the social-distancing lesson in the potential new-normal world seems to force stakeholders to encourage the deployment of contactless Industry 4.0 architecture. Thus, human-less or less-human operations to keep these IoT-enabled ecosystems running without interruptions have motivated us to design and demonstrate an intelligent automated framework. In this research, we have proposed "EdgeSDN-I4COVID" architecture for intelligent and efficient management during COVID-19 of the smart industry considering the IoT networks. Moreover, the article presents the SDN-enabled layer, such as data, control, and application, to effectively and automatically monitor the IoT data from a remote location. In addition, the proposed convergence between SDN and NFV provides an efficient control mechanism for managing the IoT sensor data. Besides, it offers robust data integration on the surface and the devices required for Industry 4.0 during the COVID-19 pandemic. Finally, the article justified the above contributions through particular performance evaluations upon appropriate simulation setup and environment.We introduce two new software tools, Bongojontro and Bongojontro Baksobandi, aimed at reducing the barriers to programming for native speakers of Bengali, the fifth most spoken language in the world. The highlights of these software include programming in the native language of Bengali, simpler construction of programs which is friendly for beginners, and the possibility of creating and using modules which can be used to incorporate a level of abstraction that can be helpful for users of different technical skills and roles. We introduced the software to students of two semirural schools in Purba Bardhamman, West Bengal, India. The participants were a section of class XI students of age group 16-17 from both the schools. 40 students provided the full data in the succeeding survey, with 2 providing incomplete data. Among those who participated in the survey, it was found that the reception was overwhelmingly positive, with mean score greater than 6(out of 7) in 12 out of 15 survey questions. The scores were especially high on the usage of their native language on the software and its easy workflow. However, the mean "ease of learning" score was a bit low (4.45/7) compared to the other high ratings. The prototypic vector-biology module, which was a part of Bongojontro Baksobandi, also received very favorable reviews. Further work along these lines using the software and its modules seems to be a promising avenue for useful research and inclusive development in education and information technologies.Online education has been adopted widely to address the educational chaos created by the Covid-19 pandemic. Reports on its constraints and challenges appear daily in the global media. However, accounts of teachers' and students' experiences of this abrupt shift in pedagogical modality are conspicuously absent in the available literature. This article reports the findings of a study that explored teachers' and students' experiences of online education during the pandemic in the context of higher education in Bangladesh and Nepal. The online survey with 147 students and 76 teachers and interviews with a sub-sample of 17 participants indicate that they adapt the action potentials of the digital artifacts to local contexts and use them in the best possible ways to facilitate their communication and enhance student learning in difficult circumstances. The major challenges and constraints they experience in transitioning to online education include poor network, lack of digital skills, lack of technological support from institutions among others. The study findings indicate some pressing policy, pedagogical and research implications, which are discussed in the final section.
Coronaphobia refers to intensified and persistent fears of contracting COVID-19 virus infection. This study aimed to evaluate the newly termed phenomenon, coronaphobia, and address its associated correlates among Egyptian physicians during the outbreak. A cross-sectional study, including a total of 426 Egyptian physicians working during COVID-19 outbreak, was conducted between March 1st and May 1st, 2020. The Fear of COVID-19 Scale (FCV-19S) and Hospital Anxiety and Depression Scale (HADS) were utilized for assessment of coronaphobia, and comorbid anxiety and depressive symptoms among physicians, respectively during the outbreak.

Moderate-to-severe symptoms of anxiety and depression were reported by 28% and 30% of physicians, respectively. Physicians experiencing higher levels of coronaphobia were more likely to be females, nonsmokers, having death wishes and/or self-harming thoughts, receiving insufficient training, dissatisfied with their personal protective equipment (PPE), and had colleagues infected with COVID-19 virus infection. Coronaphobia was positively correlated with anxiety (
= 0.59,
< 0.001) and depressive symptoms (
= 0.47,
< 0.001).

Egyptian physicians experienced higher levels of coronaphobia, anxiety, and depressive symptoms during the COVID-19 outbreak. Yet, frontline physicians did not differ from their second-line counterparts regarding the aforementioned symptoms. Routine mental and physical assessment measures of medical staff should be implemented.
Egyptian physicians experienced higher levels of coronaphobia, anxiety, and depressive symptoms during the COVID-19 outbreak. Yet, frontline physicians did not differ from their second-line counterparts regarding the aforementioned symptoms. Routine mental and physical assessment measures of medical staff should be implemented.
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