COVID-19 and financial performance: Pre and post effect of COVID-19 on organization performance; A study based on South Asian economy.

The COVID-19 epidemic has damaged developing as well as developed economies and reduced the profitability of several companies. Technological advancement plays a vital role in the company's performance in this current situation. All activities carry on virtually. In this study, the financial performance of enterprises in the South Asian banking industry will be compared before and after the COVID-19 epidemic. Furthermore, the full influence of the pandemic will take place in the long run. This study also explains the technological effect on improving performance, especially during the period of the COVID-19 pandemic. It has an impact on people's social lives as well as the economic world. This study examined a sample of 34 banks from the South Asian region from 2016 to 2021. A Wilcox rank test was used to determine whether there was a significant difference before and after the epidemic era. The overall conclusion of this study is that the COVID-19 pandemic had a significant influence on the bank's financial performance, particularly in terms of profitability. But technological advancement has a positive effect on organizational performance, ultimately increasing the financial performance of South Asian banks. And there is a big difference between pre-pandemic and post-pandemic organizational performance. The findings of this study have significant policy implications since it is clear that cooperation among governments, banks, regulatory agencies, and central banks is necessary to address the financial and economic effects of the COVID-19 pandemic.

COVID-19 and financial performance: Pre and post effect of COVID-19 on organization performance, A study based on South Asian economy

The COVID-19 epidemic has damaged developing as well as developed economies and reduced the profitability of several companies. Technological advancement plays a vital role in the company's performance in this current situation. All activities carry on virtually. In this study, the financial performance of enterprises in the South Asian banking industry will be compared before and after the COVID-19 epidemic. Furthermore, the full influence of the pandemic will take place in the long run. This study also explains the technological effect on improving performance, especially during the period of the COVID-19 pandemic. It has an impact on people's social lives as well as the economic world. This study examined a sample of 34 banks from the South Asian region from 2016 to 2021. A Wilcox rank test was used to determine whether there was a significant difference before and after the epidemic era. The overall conclusion of this study is that the COVID-19 pandemic had a significant influence on the bank's financial performance, particularly in terms of profitability. But technological advancement has a positive effect on organizational performance, ultimately increasing the financial performance of South Asian banks. And there is a big difference between pre-pandemic and post-pandemic organizational performance. The findings of this study have significant policy implications since it is clear that cooperation among governments, banks, regulatory agencies, and central banks is necessary to address the financial and economic effects of the COVID-19 pandemic.

Patterns, determinants and long term outcomes of hyperglycemia among subjects recovering from COVID 19 illness

Objectives: While presence of diabetes has been frequently associated with severe Corona virus Disease 2019 (COVID-19) caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARSCoV-2), new onset hyperglycemia had been common phenomenon seen in these patients and associated with poor outcomes. Less is known about determinants of this and its long-term outcomes. Materials and Methods: This were a retrospective and prospective hospital based;observational study and a total of 302 patients who suffered from COVID 19 illness from January 2021 to January, 2022 were included after fulfilling inclusion criteria and procuring informed consent. Patients with diabetes mellitus were excluded from the study. Hyperglycemia was defined as BGF 3 126 mg/dl or BGR 3 200 mg/dl or Hba1c 36.5% on admission or anytime during hospital stay. Results: Average age of study population was 51.82 ± 18.33 years and male to female ratio was 1.7:1. Out of 302 patients, 40 had mild disease and 262 had moderate to severe disease. 27 patients developed hyperglycemia during their admission and all the patients had suffered severe COVID 19 illness. They were managed with Insulin therapy. One patient had presented with Diabetic ketoacidosis and later diagnosed with Type 1 diabetes mellitus. The major determinants of hyperglycemia were age, BMI, Severity of illness, use of steroids especially methylprednisolone and family history of diabetes. On follow up at 1 year, no new appearance of hyperglycemia was seen in euglycemic subjects and 6 out of 27 patients persisted with diabetes and were managed with oral antidiabetics. Conclusion: The incidence of new onset diabetes is increased in patients with COVID 19 however, the mechanism of how SARS-CoV-2 might lead to incident diabetes is likely complex and could differ by type 1 and type 2 diabetes. Monitoring of long-term metabolic consequences of COVID 19 illness including Diabetes mellitus is required.

Automated Lung-Related Pneumonia and COVID-19 Detection Based on Novel Feature Extraction Framework and Vision Transformer Approaches Using Chest X-ray Images.

According to research, classifiers and detectors are less accurate when images are blurry, have low contrast, or have other flaws which raise questions about the machine learning model's ability to recognize items effectively. The chest X-ray image has proven to be the preferred image modality for medical imaging as it contains more information about a patient. Its interpretation is quite difficult, nevertheless. The goal of this research is to construct a reliable deep-learning model capable of producing high classification accuracy on chest x-ray images for lung diseases. To enable a thorough study of the chest X-ray image, the suggested framework first derived richer features using an ensemble technique, then a global second-order pooling is applied to further derive higher global features of the images. Furthermore, the images are then separated into patches and position embedding before analyzing the patches individually via a vision transformer approach. The proposed model yielded 96.01% sensitivity, 96.20% precision, and 98.00% accuracy for the COVID-19 Radiography Dataset while achieving 97.84% accuracy, 96.76% sensitivity and 96.80% precision, for the Covid-ChestX-ray-15k dataset. The experimental findings reveal that the presented models outperform traditional deep learning models and other state-of-the-art approaches provided in the literature.

Unpaid leave on COVID-19: The impact of psychological breach contract on emotional exhaustion: The mediating role of job distrust and insecurity

This research intends to increase awareness of the existence of psychological breach contracts on emotional exhaustion in the context of a prolonged COVID-19 pandemic, with the function of organizational distrust (OD) and job insecurity (JI) serving as mediating factors. We used partial least squares structural equation modeling (PLS-SEM) to look at the 437 questionnaires that private sector workers in Pakistan filled out during the COVID-19 outbreak. The findings of direct and indirect effects show that (PBC) psychological breach contract directly leads to emotional exhaustion (EH) and has a significant indirect relationship through job insecurity (JI). Moreover, psychological contract breach (PBC) directly leads to emotional exhaustion (EH) and has a significant indirect relationship through organization distrust (OD). The study shows both theoretical and practical implications, as well as areas where more research needs to be done.

The fate of patients with acute aortic syndrome during the coronavirus (COVID-19) pandemic: A UK multicenter study.

OBJECTIVE: The coronavirus disease 2019 (COVID-19) pandemic has posed challenges to health care services across the world. There has been a significant restructuring of health care resources to protect services for patients with COVID-19-related illness and to maintain emergency and urgent medical and surgical activity. This study assessed access to emergency treatment, logistical challenges, and outcomes of patients with acute aortic syndrome during the early months of the COVID-19 pandemic in the United Kingdom. METHODS: This was a multicenter study, from March 1 to May 20, 2020 that included 19 cardiac centers, was a retrospective analysis of prospectively collected data obtained from individual centers' national cardiac surgical databases. Demographic details, choice of treatment, operative details, and outcomes were collected. COVID-19 screening, timing of surgery, and outcomes of COVID-19-positive and -negative patients were also analyzed. RESULTS: In total, 88 patients presented with acute aortic syndrome to participating centers from March 1 to May 20, 2020. There were 79 aortic dissections (89.8%), 7 intramural hematomas (7.9%), and 2 penetrating aortic ulcers (2.3%). Seventy-nine patients (89.8%) underwent surgery. In-hospital mortality was 25.3% (n = 20). Postoperative complications included 13.9% postoperative stroke (11.4% permanent and 2.3% temporary), 16.5% rate of hemofiltration, and 10.1% rate of tracheostomy. Nine patients were treated conservatively with a mortality of 60%. Seven patients were diagnosed with COVID-19, and there was no associated mortality. CONCLUSIONS: Despite extensive restructuring of health care resources, access to emergency and urgent treatment for patients with acute aortic syndrome was maintained in the early months of the COVID-19 pandemic in the United Kingdom. Clinical outcomes were similar to the prepandemic period.