Background and Aim: Viral infections have also been associated with the presence of autoimmune diseases such as systemic lupus disease, rheumatoid arthritis, and diabetes mellitus. SARS-CoV-2 gains entry into human cells by binding its spike protein to the membrane protein angiotensinconverting enzyme 2 (ACE2). It has recently been reported that the incidence of myocarditis and pericarditis is increased in COVID-19 patients during the acute illness. However; whether or not myocarditis and pericarditis after the recovery period are a part of the long COVID-19 syndrome is yet unknown. Hence, we studied the incidence of myocarditis and pericarditis in COVID-19 patients after recovering from the acute infection. Material and Methods: We retrieved records of all adult patients (age ≥ 18 years) who had a documented positive COVID-19 PCR test (n = 500) for the period of 1 year. A control group was created from a cohort of adult patients with at least one negative COVID-19 From this pool of patients, the control cohort was created by 3:1 matching of age (±2 years) and gender. Total 1000 patients in control group were selected.
Abstract:The need for biometrics is rising with an increased need for security in every organization of the world. Every attribute, fingerprint, iris, knuckle print, face, palm print, is unique to an individual and can aid in recognition. Unimodal biometric systems involve the use of a single biometric attribute for identification. However, with the rise of duping, there is a requirement for constructing an efficient system using multiple biometric attributes. In multimodal systems, fusion of various biometric identities into a single vector is done using algorithms. This paper covers several different techniques used for biometric authentication. These use varying numbers of attributes. Our future project focuses on the research of different techniques of multimodal recognition in order to devise a technique that is robust and has an increased efficiency in recognition and identification.
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