The two cases presenting with skin rash: could it be COVID-19?

Although the most common clinical findings of Coronavirus disease-19 (COVID-19) are fever, cough and difficulty in breathing, there are also findings related to other systems and organ involvement. There are increasing reports of dermatological symptoms. The timing of skin symptoms varies in COVID-19 cases. Maculopapular rash, which is one of the common dermatological symptoms, may be associated with COVID-19 or may be seen in different clinical conditions such as drug reactions. This situation when evaluated together with the variations in the timing of findings, causes difficulties in differential diagnosis. In this report, two cases who were followed up with the diagnosis of COVID-19 and applied with symptoms of widespread maculopapular rash following the clinical recovery period are presented. © 2022, Pamukkale University. All rights reserved.

Association of hematological indices with neurological symptoms in COVID 19 patients

Purpose: The aim of this study was to compare the neurological involvement in Coronavirus 19 (COVID-19) patients with laboratory findings with these cost-free, practical tests. Materials and Methods: Of the 170 patients diagnosed COVID-19, 103 patients could be reached by phone, and neurological symptoms were recorded as three categories. Laboratory tests of the patients and 103 controls whose real-time polymerase chain reaction (RT-PCR) test negative without any chronic disease history and drug use were obtained from the hospital software. Results: White blood cell, neutrophil, lymphocyte, eosinophil, basophil, platelet were lower, monocyte to lymphocyte ratio and platelet to lymphocyte ratio higher in patients than controls. In the group with central nervous system findings, red blood cell and hematocrit counts, in the group with peripheral nervous system findings, lymphocyte and platelet counts and with sleep disturbances and muscle pain group eosinophil counts were lower in patients than those without. Conclusion: COVID-19 patients with neurological symptoms have some hematological abnormalities. The presence of certain hematological findings may be a clue to the emergence of neurological symptoms, and early detection and correction of these hematological abnormalities may be the solution to prevent the development of neurological symptoms in COVID-19.

Online (Remote) Teaching for Laboratory Based Courses Using "Digital Twins" of the Experiments

Covid-19 pandemic has introduced radical changes to engineering education in the sense that most of the teaching moved to the off-campus setting of the online classes. However, conducting laboratory classes, a fundamental part of engineering education has remained to be a challenge. To address this situation, an ambitious approach is taken to reestablish the laboratory experience entirely online with the help of digital twins of fluid mechanics, thermodynamics, and turbomachinery laboratory experiments. Laboratory-based undergraduate courses are important parts of the curriculum at the Lucerne University of Applied Sciences (HSLU) in Switzerland. During the Covid-19 pandemic, it was necessary to adapt to the new environment of remote learning and modify the laboratory experiments so that they can be carried out online. The approach was to develop digital twins of each laboratory experiment with web applications and to provide an environment together with supporting videos and interactive problems so that the laboratory experiments can be carried out remotely. A digital twin is a digital representation of a physical system, e.g., the test rig. This paper explains the development of the digital twins of the laboratory experiments and provides information about the selected experiments such as potential vortex, linear momentum equation, diffuser flow, radial compressor, fuel cell, and pump test rig. A remote or distance learning has many hurdles, a major one being how to teach hands-on laboratory courses outside of an actual laboratory. The experience at the HSLU showed that teaching online laboratories using the digital twins of the experiments can work and the students can take part in remote laboratories that meet the learning outcomes and objectives. © 2022 by ASME.

Determining the musculoskeletal problems of academicians who transitioned to distance education during the COVID-19 pandemic.

BACKGROUND: Musculoskeletal disorders are a significant public health issue that negatively affects individuals and society both socially and economically, and increases the cost of care and cure. OBJECTIVE: This study aimed to determine the musculoskeletal problems and risk factors of academicians who transitioned to provide distance education during the COVID-19 pandemic. METHODS: The population of this descriptive cross-sectional study included academicians who worked in two public universities in Turkey. Ethical committee approval and institutional permissions were obtained between 1 and 28 February 2021. Data were collected using a personal information form, the Work Environment Evaluation Questionnaire, and the Musculoskeletal Pain Intensity Assessment Questionnaire. The data were analyzed using the number, percentage, independent group t-test, ANOVA test, and linear regression analysis (forward method). The analysis was interpreted at the 95% confidence level and 0.05 error margin. RESULTS: Of the academicians, 78% were women, 54.6% were married, 80.6% did not regularly exercise, and 73.5% had more workload during the distance education period. Academicians mostly experienced discomfort about their eyes, necks, and waists, and an increase at a significant level was detected in their musculoskeletal system problems during the distance education period. Increasing workload, duration of mobile phone use, active time, having an ergonomic chair, and gender predicted the musculoskeletal system pain intensity by 20%. CONCLUSION: Musculoskeletal system problems are a significant public health issue. Academicians should be informed and consulted for the protection of musculoskeletal system health during the distance education period.

Online (remote) teaching for laboratory based courses using "digital twins" of the experiments

The Covid-19 pandemic has changed the university education, with most teaching moved off campus and students learning online or remote at home, but a cornerstone of undergraduate engineering education has been a big challenge, namely the laboratory classes. As the engineering and education communities continue to adapt to the realities of a global pandemic, it is important to recognize the importance of the laboratory-based courses. In order to address to this situation, an ambitious approach is taken to recreate the laboratory experience entirely online with the help of the digital twins of the fluid mechanics, thermodynamics, and turbomachinery laboratory experiments. Laboratory based undergraduate courses such as EFPLAB1, EFPLAB2 (Energy;Fluid and Process Laboratory 1 & 2) and EFPENG (Energy, Fluid and Process Engineering) are important parts of the "mechanical engineering" and "energy systems engineering" curricula of the Lucerne University of Applied Sciences (HSLU) in Switzerland. Each course mentioned above include six different laboratory experiments about fluid mechanics, thermodynamics, turbomachinery, energy efficiency, and energy systems, including mass-and energy flow balances in energy systems. During the Covid-19 pandemic, it was necessary to adapt to the new environment of remote learning courses and modify the laboratory experiments so that they can be carried out online. The approach was developing digital twins of each laboratory experiment with web applications and providing an environment together with supporting videos and interactive problems so that the laboratory experiments can be carried out remotely. A digital twin is a digital representation of a physical system, e.g., the test rig. It may contain a collection of various digital models with related physical equations and solutions, information related to the operation of the test rig, including 2D or 3D models, process models, sensor data records, and documentation. Ideally, all quantities and attributes that could be measured or observed from the real experiment should be accessible from its digital twin. The digital twin not only reproduces the experimental setup in the laboratory but also helps to improve the knowledge related to the theory and concepts of the laboratory experiments. One major advantage of the digital twin is that the number and range of the parameters, which can be manipulated or varied, is larger in comparison to the actual testing in the laboratory. This paper explains the development of the digital twins (web applications) of the laboratory experiments and provides information about the selected experiments such as potential vortex, linear momentum equation, diffuser flow, radial compressor, fuel cell, and pump test rig with the measurement of pump characteristics. A remote or distance learning has many hurdles, one of the largest being how to teach hands-on laboratory courses outside of an actual laboratory. The experience at the Lucerne University of Applied Sciences showed that teaching online labs using the digital twins of the laboratory experiments can work and the students can take part in remote laboratories that meet the learning outcomes and objectives as well as engage in scientific inquiry from a distance. © 2021 American Society of Mechanical Engineers (ASME). All rights reserved.

Fractional optimal control dynamics of coronavirus model with Mittag & ndash;Leffler law

Most countries around the world are battling to limit the spread of severe acute respiratory syndromecoronavirus 2 (SARS-CoV-2). As the world strives to get an effective medication to control the disease, appropriate control measures for now remains one of the effective measures to reduce the spread of the disease. In this study, a fractional optimal control model is formulated in Atangana-Baleanu-Caputo derivative sense. The reproduction number and steady state of disease free of the Coronavirus model are examined and found to be globally stable. The existence and uniqueness of solution of the fractional Coronavirus model is established by using the Banach fixed point theorem approach. Three controls are considered in the model and Pontryagins Maximum Principle is used to establish the necessary conditions for optimal control solution. The numerical solution suggests that the best strategy is found to be the utilization of all three controls at the same time.