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Journal of Pure and Applied Microbiology ; 16(3):1622-1627, 2022.
Article in English | EMBASE | ID: covidwho-2067515

ABSTRACT

Methicillin-resistant Staphylococcus aureus (MRSA) infections are a primary health concern. They are commonly differentiated as hospital-acquired methicillin-resistant Staphylococcus aureus (HA-MRSA) and community-acquired methicillin-resistant Staphylococcus aureus (CA-MRSA) infections, based on their epidemiology, susceptibility findings, and molecular typing patterns. Therefore, appropriate contact precautions and isolation measures should be implemented. CA-MRSA mostly causes skin and soft-tissue infections, but the probability and incidence of it causing sepsis and invasive infections have increased dramatically in recent years. In this study, we report a case of CA-MRSA pneumonia with pan-pneumonic effusion in a 59-year-old male diabetic patient with preexisting comorbidities such as diabetic ketoacidosis and non-ST elevated myocardial infarction. The early reporting of the organism's identity and its antimicrobial susceptibility, as well as timely initiation of antibiotic therapy, aided in the successful management and cure of the patient.

2.
Turkish Journal of Computer and Mathematics Education ; 12(10):364-372, 2021.
Article in English | ProQuest Central | ID: covidwho-1651731

ABSTRACT

A completely unique coronavirus effect event has emerged as a virus poignant public health globally. Screening of huge numbers of people is that the would like of the hour to curb the unfold of malady within the community. Real- time PCR may be a commonplace diagnostic tool getting used for pathological testing. however the increasing variety of false check results has opened the trail for exploration of other testing tools. Chest X-Rays of COVID-19 and respiratory disorder T.B. and respiratory illness Chronic patients have verified to be a vital various indicator in Diseases screening. But again, accuracy depends upon imaging experience. A diagnosing recommender system which {will that may} assist the doctor to look at the respiratory organ pictures of the patients will scale back the diagnostic burden of the doctor. Deep Learning techniques specifically Convolution Neural Networks (CNN) have tried prospering in medical imaging classification. Four totally different deep CNN architectures were investigated on pictures of chest X-Rays for diagnosing of malady. These models are pre-trained on the keras and tensor flow Image internet info thereby reducing the requirement for big coaching sets as they need pre-trained weights. it had been ascertained that CNN based mostly architectures have the potential for diagnosing of malady.

3.
Journal of Strategic Marketing ; : No Pagination Specified, 2021.
Article in English | APA PsycInfo | ID: covidwho-1254161

ABSTRACT

ABSTRACT The unbridled propagation of the sharing economy halted abruptly with the onset of the pandemic, forcing sharing economy companies to respond to the new set of challenges faced by them. There were marked differences between the pre- and post-COVID challenges. Post-COVID, sharing economy companies designed novel response strategies including tempering ambitions, adapting business models, designing new standard operating procedures, displaying empathy towards employees and partners, building trust, and sharing information with stakeholders. This signified a reorientation of sharing economy companies in the hyperconnected world where there is a blurring of boundaries as brand experiences and meanings are cocreated by stakeholders. Sharing economy companies would need to focus on different set of values to attain competitive advantage in the post-COVID world - partnership instead of confrontation, nurturing instead of destructive, open and sharing instead of closed, and empathetic instead of uncaring. This can help create meaningful differentiation and provide competitive advantage. (PsycInfo Database Record (c) 2021 APA, all rights reserved)

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