Mediating Role of Entrepreneurial Work-Related Strains and Work Engagement among Job Demand–Resource Model and Success

Post-COVID-19 working conditions have been the primary reason behind increased stress among business owners. There is an ever-rising need for entrepreneurial work engagement in their jobs to mitigate the increased entrepreneurial work pressures caused by uncontrolled digitization, enhanced consumer power, and brutal competition. Therefore, this study intends to respond to the existing practical and empirical gaps by investigating the relationships between entrepreneurial job demands (EJD), work-related stress, entrepreneurial job resources (EJR), and entrepreneurial work engagement (WE) for their role in generating entrepreneurial success (ES), especially in the Chinese context. It also tested the mediating role of work-related stress and entrepreneurial work engagement on the relationship between job demands, job resources, and entrepreneurial success. Structured questionnaires were circulated among the targeted respondents (i.e., business owners across China) using quantitative techniques, followed by PLS-SEM for data analysis, as these are the best-suited techniques, considering the context and time constraints. The results verified the impact of job demands on work-related strain, followed by the inverse direct impact of work-related strain on entrepreneurial success. This study found the significant impact of entrepreneurial job resources on entrepreneurial work engagement, followed by the positive impact of WE on entrepreneurial success. Likewise, work engagement's mediating role was validated, while work-related strain could only negatively mediate the relationship between EJD and ES. Likewise, this study has practical and empirical implications for practitioners and researchers to be mindful of their employees' emotional states by providing sufficient resources and psychological interventions to ensure business success. © 2023 by the authors.

A Review on Machine Learning-Based WBCs Analysis in Blood Smear Images: Key Challenges, Datasets, and Future Directions

In recent development of machine learning (ML)-based medical image analysis that have contributed to the prediction, planning, and early diagnostic process. Different chronic hermitic diseases like blood cancer/leukemia, AIDs, malaria, anemia and even COVID-19, all these are diagnoses via analyzing leucocytes or white blood cells (WBCs). Leucocytes analysis is the process of detection, localization, counting, analyzing WBCs, and it perform an active role in clinical hematology to assist health specialists in early stage disease diagnosing process. An automatic leucocytes analysis provide valuable diagnostics facts to doctors, via they can automatically detect, blood cancer, brain tumor and significantly improve the hematological, pathological activities. Manual Detection, counting and classification of WBCs is very slow, challenging and boring task due to having complex overlapping and morphological uneven structure. In this chapter, we provide a concise analysis of available ML techniques, to use these techniques for leucocytes analysis in microscopic images. The main aim of this chapter is to identify high performer and suitable ML algorithms for WBCs analysis using blood microscopic smear images. In the proposed review study, the recent and most relevant research papers are collected from IEEE, Science Direct, springer, and web of science (WoS) with the following keywords: ‘leucocytes detection’ or ‘leucocytes classification’. This study gives an extensive review of MIA but the research focuses more on the ML-based leucocytes/WBCs analysis in smear images. These techniques include traditional machine learning (TML), deep learning (DL), convolutional neural network (CNN) models, hybrid learning, and attention learning-based techniques to analyze medical image modalities to detect and classify cells in smear images. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

The response of the scientific community to a global crisis: a systematic review of COVID-19 research in 2020

This article provides a bibliometric analysis of the direction of research relating to COVID-19 during the first year after the virus was first identified as a potential threat to public health. The analysis explores the number and topics of studies performed, along with patterns related to authorship, organisations and countries of origin. A sample of 2531 articles identified from the Web of Science is the basis of the study. The publications were grouped into five clusters based on their main focus. The results provide an insight into the response of the scientific community during the first few months of the crisis.

Kikuchi-Fujimoto Disease Following COVID-19.

Kikuchi-Fujimoto Disease (KFD) is a rare self-limiting condition of unknown etiology. It is characterized by fever, and lymphadenopathy most commonly involving posterior cervical lymph nodes. Although it is of uncertain etiology, it is associated with viral infections and autoimmune diseases. Distinction from lymphadenopathy-associated alternate disorders is crucial to avoid unneeded diagnostic procedures and treatment. KFD is diagnosed based on histopathologic examination of the excised lymph node. The management is supportive with favorable outcomes within a few weeks or months. In this case, we describe a 13-year-old boy who complained of painful cervical lymphadenopathy and fever for more than three weeks following COVID-19. Diagnostic workup has been established and KFD diagnosis made based on the histopathologic features of the involved lymph node. The patient showed complete recovery with no recurrence during follow-up. So, this case highlights the possible association between COVID-19 and KFD during this pandemic and keeping it in the differential diagnosis.

A diagnostic challenge in COVID-19 pandemic: PCP or COVID-19

This case report describes the clinical course and management of a 67-year gentleman presented with shortness of breath, fever and cough. History is significant for diabetes and hypertension. Baseline imaging and routine blood tests were consistent with respiratory tract infection. The patient clinically deteriorated, inflammatory markers increased by and the ABG showed type 1 respiratory failure. He was admitted to the ICU, and due to severe hypoxemia, he was intubated and mechanically ventilated. Treatment with broad-spectrum intravenous (IV) antibiotics was initiated but no clinical or radiological improvement was observed. Chest CT scan showed bilateral opacity/unification of the mid-inferior lungs in patch and interstitial pneumonia (Figs 1A and B). On clinical suspicion and repeated negative COVID-19 swabs, negative blood and urine cultures, treatment with PCP was initiated. There was excellent clinical improvement. Patient was extubated and then weaned off oxygen. His HIV status was negative, but his sputum and CRP showed PCP.

Usability Evaluation of Pandemic Health Care Mobile Applications

This study was conducted to evaluate the usability of health care apps and its significance in the field of health care. As health care centers are the settings working 24/7 for providing health services to patients. For this study a systematic review, comparison and functionality assessment of selected COVID19 mobile apps was performed. The assessment was performed on two digital platforms, App store on Apple iPhone and Google play store on Android smartphones. Further online search of keywords on Google was also conducted in order to ensure the reliability and validity of apps on these stores. And only those apps were selected which were in English because of the language proficiency of authors. The mobile apps selected were having five features of assessment, a questionnaire, Privacy statement, Precautionary measures if test positive for COVID19, after plans of Pandemic and Region based. The sample was a blend of participants from different fields including students, doctors, patients and software developers. This is quantitative study;a questionnaire was distributed among the selected participants who were familiar with the use of health care mobile apps. The data was analyzed on the basis of gender and age. The results were made on the basis of responses towards effectiveness, efficiency and satisfaction of users towards mobile phone apps. The results show that apps were found 64.5% informative for participants as they helped in fast communication of doctors and patients while sitting at the other corner of world.

COMPUTATIONAL FRAMEWORK to EXPLORE IMPACT of ENVIRONMENTAL STRESS on EPIDEMICS

In the field of epidemiology, not only the disease and the carriers, but also the surrounding environment and the associated stresses play a vital role. Environmental stresses in a novel habitat may facilitate adaptive shifts. Organisms living under environmental stresses often experience higher mutation rates and display greater phenotypic and genetic variation. There is controversial evidence available in the literature about the impact of environmental stresses on the organisms and the resulting variation in mutation rates and the immune responses. In nature, "selection"and the high energetic costs of stress usually reduce this variation. The prior knowledge of the interaction between the stress and disease epidemics may help to control the disease spread at an early stage. A mathematical model of epidemiology, specifically focusing on the vector borne diseases, with environmental stress is reported in this paper. The model is validated with the aid of stability analysis. During this research, a set of parametric values is obtained using reverse engineering. For this purpose, the parametric evaluation is reported with the help of Monte Carlo Markov Chain (MCMC) reverse engineering. Among other factors, the environmental stresses are also responsible for different dynamics of the same disease, in different continents of the world. The proposed research methodology will help in forecasting the epidemiological problems such as the current threat of coronavirus.

Multisystem Inflammatory Syndrome in Children, the Real Disease of COVID-19 in Pediatrics - A Multicenter Case Series From Al-Ahsa, Saudi Arabia.

Fortunately, coronavirus disease 2019 (COVID-19) infection in pediatric populations exhibits a mild course of disease. However, a small number have recently been identified who develop a significant systemic inflammatory response, a new disease entity called multisystem inflammatory syndrome in children (MIS-C), especially after the peak of the wave in Al-Ahsa, Saudi Arabia, in early June to mid-July. In MIS-C children usually present a few days to a few weeks after recovery from COVID-19 with high grade fever, GI symptoms, Kawasaki-like picture or even toxic shock-like syndrome. Raising awareness about this disease entity is very fundamental to enable pediatricians and other health care providers to identify and manage these patients before it is too late. We describe 10 different cases of MIS-C with different risk factors and presentations.

A Diagnostic Challenge in COVID-19 Pandemic: PCP or COVID-19

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Multisystem Inflammatory Syndrome in Children Temporally Related to COVID-19: A Case Report From Saudi Arabia.

The World Health Organization is still revising the epidemiology of multi-system inflammatory syndrome in children (MIS-C) and the preliminary case definition, although there is a dearth of robust evidence regarding the clinical presentations, severity, and outcomes. Researchers, epidemiologists, and clinicians are struggling to characterize and describe the disease phenomenon while taking care of the diseased persons at the forefronts. This report tackles the first case of a 13-year-old Saudi female with the MIS-C mimicking Kawasaki disease. Her main manifestations were fever, gastrointestinal symptoms, evidence of organ failure with an increase in inflammatory markers, and a history of coronavirus disease (COVID-19) infection. She had glucose-6-phosphate dehydrogenase (G6PD) deficiency and no significant previous history of any disease. She presented with signs of acute illness: high-grade fever (39.6°C) for five days accompanied by sore throat, malaise, reduced oral intake, abdominal pain, diarrhea, skin rash, bilateral non-suppurative conjunctivitis, and erythematous, cracked lips. Eventually, she died despite aggressive management based on the Centers for Disease Control and Prevention and the Saudi Ministry of Health guidelines for COVID-19 management. Based on this case, we suggest that pediatricians need to be aware of such atypical presentations and early referral to tertiary care is imperative for further early diagnosis and management. MIS-C is a rare yet severe and highly critical complication of COVID-19 infection in pediatrics, leading to serious and life-threatening illnesses. Knowledge about the wide spectrum of presenting signs and symptoms and disease severity, including early detection and treatment, is pivotal to prevent a tragic outcome.

A Novel Case of Severe Respiratory Symptoms and Persistent Pulmonary Hypertension in a Saudi Neonate With SARS-CoV-2 Infection.

Coronavirus disease 2019 (COVID-19) is an emergent disease that has spread rapidly to infect more than 210 countries across the world. With the increasing number of infected pregnant women, many physicians hypothesized the perinatal transmission as a potential route of transmission. Some cases of perinatal transmission have been described, but it is unclear if these occurred via the transplacental or the transcervical routes or through environmental exposure. In this report, we described a case of a female infant who was delivered by caesarean section at 34 weeks' gestation to an infected mother. The neonate was transferred into the Neonatal Intensive Care Unit (NICU) Level 3, with the precaution of airborne and contact isolation. All required investigations were performed, including blood gases, nasopharyngeal swab, chest x-ray, and echocardiogram. On the fifth day of delivery, her investigations demonstrated a positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Despite applying all recommended guidelines and following the treatment protocol, she developed severe respiratory symptoms with persistent pulmonary hypertension, which progressed significantly to her death.