PubMed COVID-19 Clinical Care

CONCLUSIONS: The results of the study indicate a significant relationship between the mental health of employees and work-related experiences through the pandemic. Further research on the stressors and enhancers identified through the study can pave

The global response to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic demonstrated the value of timely and open sharing of genomic data with standardized metadata to facilitate monitoring of the emergence and spread of new

Automatic facial expression recognition (AFER), sometimes referred to as emotional recognition, is important for socializing. Automatic methods in the past two years faced challenges due to Covid-19 and the vital wearing of a mask. Machine learning

Our experience with business and economic students indicates limited understanding and confidence when working with macroeconomic data such as unemployment rate, labor force participation rate, business cycles, and price indexes. To close this gap

COVID-19-associated acute kidney injury (COVID-19 AKI) is an independent risk factor for in-hospital mortality and has the potential to progress to chronic kidney disease. Prunella vulgaris L., a traditional Chinese herb that has been used for the

COVID-19 hits the global supply chains in a non-paradigm manner unfolding new and systemic complexity. Therefore, the unexpected and frequent disruptions forced the concern of preventing or creating supply chain resilience capabilities. This paper

Lung segmentation algorithms play a significant role in segmenting theinfected regions in the lungs. This work aims to develop a computationally efficient and robust deep learning model for lung segmentation using chest computed tomography (CT)

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak is a major challenge for clinicians. SARS-CoV-2 infection results in coronavirus disease 2019 (COVID-19), and it is best known for its respiratory symptoms. It can also result

CONCLUSIONS: Nursing students faced difficulties in their first clinical practice during the COVID-19 lockdown, which made a challenging study situation. Too much autonomy and responsibility for their own learning reinforced a loss of experience. The

We use data on human mobility obtained from mobile applications to explore the activity patterns in the neighbourhoods of Greater London as they emerged from the first wave of COVID-19 lockdown restrictions during summer 2020 and analyse how the