Abstract: Urban agriculture is a highly concerned issue during the period of rapid urbanization in Vietnam. Research aims to propose a cultivation process for cultivating oyster mushrooms, utilizing coffee grounds from coffee businesses as a resource. This approach promotes circular economy principles, generating economic benefits for households while protecting the environment and being suitable for urban areas. The study conducted experiments on grey oyster mushrooms using different mixtures of coffee grounds and rubber wood sawdust at the following ratios: 0%, 25%, 50%, 75%, and 100% coffee grounds/rubber wood sawdust, filled into bags with a weight of 1.2kg. The research results showed that disease infection rates were mild in the 0% and 25% mixture ratios, while the remaining ratios exhibited moderate to severe infection levels. The highest mushroom yield was observed in the mixture ratio of 25% coffee grounds, with an average number of mushroom ears per bag reaching 29.7grams/bag, the dry weight is 63.8 grams/bag, with an average size ranging from 3 to 14 cm and a moisture content of 79.5%. The fastest colonization speed on the substrate is achieved by 25%, 50% coffee grounds blend, which fully colonizes the bag in a period of 25 to 35 days, the shortest time compared to the 75% and 100% coffee grounds blends, which take 40 to 45 days. The experimental results show that the 25% coffee grounds: 75% rubber sawdust blend is suitable for urban mushroom cultivation models and can be expanded on a large-scale farm, contributing to minimizing environmental pollution, utilizing limited urban land area, and providing high economic efficiency.

Nigeria and developing countries are suffering from infectious diseases due to a mixture of determinants. Parable, rotavirus is a major concern that causes a lot of deaths and hospitalization among children under five of age. Therefore, it is imperative to have more understanding of the rotavirus. A literature review to form concepts were made under the following headings: Historical background of the Rotaviruses, General Characteristics of Rotaviruses, Classification of Rotaviruses, Structure of Rotavirus particle, Rotavirus protein, Non- structural proteins, Structure of Rotavirus genome, Genetic reassortment of Rotaviruses, Mechanisms of Rotavirus genetic diversity, Rotavirus infection, Rotavirus replication, Transmission of Rotaviruses, Incubation period of Rotaviruses, Pathogenesis of Rotavirus infection, Signs and symptoms of Rotavirus infection, Immunity to Rotaviruses, Laboratory diagnosis of Rotaviruses, Epidemiology of Rotaviruses, Treatment of rotavirus infection, Antiviral therapy, Other Therapies, Management of Rotavirus infection, Prevention of Rotavirus infections, General Preventive Measures, Hospital Infection Control Measures. This information would invariably help in gaining understanding the basics of Rotavirus that causes diarrhea in children.

With the fast growth of the COVID-19 pandemic, in-silico studies based on the susceptible-infected-removed (SIR) epidemiological model are very critical to provide reliable predictions of the COVID-19 evolution that can effectively support governments to issue the right measures to prevent and control the pandemic. In this study, the evolution of the COVID-19 in the Binh Duong province is investigated using the SIR model implemented in R-Studio software, in which the homemade computer codes based on the SIR model are developed using R language to automatically detect the optimal parameters in the model, including the reproduction ratio R0, the infection coefficient β, and the recovery coefficient γ. The SIR predictions indicate that the number of new positive cases per day in the Binh Duong province is only 40 new cases by November 30, 2021, and the total number of new cases per day becomes zero by middle February 2021. Besides, the Binh Duong province only has 1126 infected cases by November 30, 2021, which reduces to 203 cases at the end of December 2021. Through the SIR results, the COVID-19 pandemic in the Binh Duong is predicted to be ended at the end of December 2021.