Aim: To evaluate the efficacy of the antiviral drug riamilovir (trade name - «Triazavirin») for the prevention of SARS-CoV-2 infection (COVID-19) and other acute respiratory viral infections in young people from organized groups.
Materials And Methods: The study involved 386 individuals aged 18-22 years: 199 received riamilovir at a daily dose of 250 mg for 15 days, while 187 did not receive prophylactic drugs. For 30 days, disease occurrence was monitored among volunteers.
Aim: To evaluate the clinical effectiveness, safety and compare the incidence of hospitalization during treatment with antiviral drugs with a direct mechanism of action (riamilovir and umifenovir) in people with acute respiratory viral infections (ARVI) in an outpatient setting.
Materials And Methods: The study included 150 outpatients with ARVI aged 18-27 years: 50 patients received riamilovir 250 mg 3 times a day for 5 days, the second group included 50 patients who received umifenovir 200 mg 4 times a day for 5 days, 50 individuals received only pathogenetic treatment.
Results: The use of direct-acting antiviral drugs was characterized by the least severity of pain and aches in the body, general weakness, and in the group of patients receiving riamilovir, the lowest severity of rhinitis, cough, and the lowest morning body temperature were recorded compared to other groups.
The chickpea plays a significant role in global agriculture and occupies an increasing share in the human diet. The main aim of the research was to develop a model for the prediction of two chickpea productivity traits in the available dataset. Genomic data for accessions were encoded in Artificial Image Objects, and a model for the thousand-seed weight (TSW) and number of seeds per plant (SNpP) prediction was constructed using a Convolutional Neural Network, dictionary learning and sparse coding for feature extraction, and extreme gradient boosting for regression.
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