In this study, nano tube modular is utilized to create a graphene nano-ribbon structure with n=m=4 and a tube length of 1 nm. For the display system, export the structure to the Gaussian 5.0 version. The input data is then exported to Gaussian 09, which is used to calculate geometrical and electrical parameters, as well as adsorption energy. The ground state parameters were computed using the DFT approach, which was dependent on electron density. Higher Occupied Molecular Orbitals (HOMO) and Lower Unoccupied Molecular Orbitals (LUMO) are produced by molecular orbital energy, and the energy gap.

Background: Coronavirus disorder 2019 (COVID-19) has been a unique virus due to the severe acute respiratory syndrome coronavirus 2 that initially appeared in Wuhan and is subsequently extended globally. In severely affected cases, COVID-19 has a high fatality rate. Objective: The aim of the current study was to identify the medical and biochemical characteristics predictors for severe COVID-19. Patients and methods: A total of 150 admitted patients at Marjan Hospital, Babylon were enrolled in the current study. The recruited patients were divided into 3 groups: Health control with no COVID-19 (n=50), non-diabetic patients with COVID-19 (n=50), and diabetic patients with COVID-19 (n=50). Laboratory investigation for all participants included ALT, AST, CRP, D-dimer, glucose, and serum albumin. The diagnosis and severity of COVID-19 was confirmed by CT scan. Results: The mean age of the healthy control was 55.31 (SD 0.32) years, meanwhile the mean age of nondiabetic patients with COVID-19 was 54.23 (SD 0.21) years, with no statistical significant difference. Non-diabetic patients with COVID-19 had higher levels of AST, ALT, total bilirubin, ALP and CRP compared with the health control groups with P-value <0.001. Compared with the health control, diabetic COVID-19 patients had statistical significant increase in serum urea, serum creatinine, serum glucose and CRP. Conclusion: Age >52 years and high C-reactive protein, AST, ALT, ALP, D-dimer, or albumin are predictors for the development of COVID-19 to severe state.

COVID-19 is a virus that can cause disease. Phylogenetic analysis Bats have been discovered to have a full genome sequence, according to research done with available entire genome sequences. The COVID-19 virus reservoir has been identified, however the intermediate host(s) has yet to be identified. now. This study was conducted in Marjan Teaching Hospital in Babylon for all patients infected with Covid 19 disease during January of 2022 and their ages were between 30-55, where the diagnosis was made by CT-scan. the reports that I will mention that the new mutation from Corona does not cause severe damage to the lung, and the infection rate is less than 45% in the lung. She also indicated that all patients were exposed to severe diarrhea without losing the sense of smell and taste. From this, we conclude that the new mutations in Covid -19 are Less severe and less severe, and the vaccine reduces a high rate of infection, as most of the vaccinated people had a very weak rate. And here are pictures of the reports of the new mutant from Covid -19 (OMICRON). Keyword: Covid -19, ct-scan, report

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