Mathematical Model of Epidemic Disease COVID-19

In this paper, we will use the ordinary differential equations for the SIR model as a non-linear system with the Runge-Kutta numerical method of the 6th order and 7th order to generate default values for (susceptible people, infected people and recovered from disease) for epidemic disease COVID-19 by giving it the initial values for a population in a particular country. The MATLAB program was used to solve the two problems (6th & 7th order) and obtain the results.Through this work we notice the difference between the results of the two methods and the solution period as well as the estimated error value for the solution in each problem and the comparison between results and solutions for both methods and shown in a table for clarity.We also used the binary test (0-1) to know the behavior of the disease in terms of chaos and the results indicated that this disease(covid-19) is chaotic and irregular and by using the MATLAB program we obtained the figures and results and that illustrate its chaotic behavior (kcorr 6th =0.9212) and (kcorr 7th = 0.9560),as well as, the figures that illustrate the system's workflow in this paper. © 2023 American Institute of Physics Inc.. All rights reserved.

The effect of COVID-19 infection on seminal fluid parameters

With the worldwide threat of SARS-CoV-2 as well as the growing number of infectious agents, little is recognized about how such a virus impacts the reproductive-system of males. This new coronavirus illness (COVID-19) outbreak puts men at a greater risk than females. So far, research on the andrological effects of coronavirus has been limited. The purpose of this study was to see how COVID-19 affected sperm characteristics in infertile males. Such study includes 30 males in total. In the prospective cohort study, different demographic as well as semen parameters have been assessed. The demographic factors including age, BMI, diabetes, and hypertension have somehow little or no effect on the patients after the COVID-19 diagnosis. Furthermore, the semen characteristics include sperm count and concentration, total motility, semen volume, and progressive motility. The COVID-19 infection has a significant impact on all these parameters. We present significant experimental proof  that the COVID-19 outbreak can harm and target male fertility. The long-term outcomes of coronavirus on the reproductive systems of males have yet to be determined. Infection with SARS-CoV-2 can impair men’s reproductive function. Standard treatment plans must be made timely to protect infected patients’ fertility. Fertility evaluations and competent fertility assistance should be offered concurrently for recovered individuals with fertility needs. © 2022, ResearchTrentz Academy Publishing Education Services. All rights reserved.

The Discovery of Potential SARS-CoV-2 Natural Inhibitors among 4924 African Metabolites Targeting the Papain-like Protease: A Multi-Phase In Silico Approach.

Four compounds, hippacine, 4,2'-dihydroxy-4'-methoxychalcone, 2',5'-dihydroxy-4-methoxychalcone, and wighteone, were selected from 4924 African natural metabolites as potential inhibitors against SARS-CoV-2 papain-like protease (PLpro, PDB ID: 3E9S). A multi-phased in silico approach was employed to select the most similar metabolites to the co-crystallized ligand (TTT) of the PLpro through molecular fingerprints and structural similarity studies. Followingly, to examine the binding of the selected metabolites with the PLpro (molecular docking. Further, to confirm this binding through molecular dynamics simulations. Finally, in silico ADMET and toxicity studies were carried out to prefer the most convenient compounds and their drug-likeness. The obtained results could be a weapon in the battle against COVID-19 via more in vitro and in vivo studies.

Structure-Based Virtual Screening, Docking, ADMET, Molecular Dynamics, and MM-PBSA Calculations for the Discovery of Potential Natural SARS-CoV-2 Helicase Inhibitors from the Traditional Chinese Medicine

Continuing our antecedent work against COVID-19, a set of 5956 compounds of traditional Chinese medicine have been virtually screened for their potential against SARS-CoV-2 helicase (PDB ID: 5RMM). Initially, a fingerprint study with VXG, the ligand of the target enzyme, disclosed the similarity of 187 compounds. Then, a molecular similarity study declared the most similar 40 compounds. Subsequently, molecular docking studies were carried out to examine the binding modes and energies. Then, the most appropriate 26 compounds were subjected to in silico ADMET and toxicity studies to select the most convenient inhibitors to be: (1R,2S)-ephedrine (57), (1R,2S)-norephedrine (59), 2-(4-(pyrrolidin-1-yl)phenyl)acetic acid (84), 1-phenylpropane-1,2-dione (195), 2-methoxycinnamic acid (246), 2-methoxybenzoic acid (364), (R)-2-((R)-5-oxopyrrolidin-3-yl)-2-phenylacetic acid (405), (Z)-6-(3-hydroxy-4-methoxystyryl)-4-methoxy-2H-pyran-2-one (533), 8-chloro-2-(2-phenylethyl)-5,6,7-trihydroxy-5,6,7,8-tetrahydrochromone (637), 3-((1R,2S)-2-(dimethylamino)-1-hydroxypropyl)phenol (818), (R)-2-ethyl-4-(1-hydroxy-2-(methylamino)ethyl)phenol (5159), and (R)-2-((1S,2S,5S)-2-benzyl-5-hydroxy-4-methylcyclohex-3-en-1-yl)propane-1,2-diol (5168). Among the selected 12 compounds, the metabolites, compound 533 showed the best docking scores. Interestingly, the MD simulation studies for compound 533, the one with the highest docking score, over 100 ns showed its correct binding to SARS-CoV-2 helicase with low energy and optimum dynamics. Finally, MM-PBSA studies showed that 533 bonded favorably to SARS-CoV-2 helicase with a free energy value of −83 kJ/mol. Further, the free energy decomposition study determined the essential amino acid residues that contributed favorably to the binding process. The obtained results give a huge hope to find a cure for COVID-19 through further in vitro and in vivo studies for the selected compounds. [ FROM AUTHOR] Copyright of Journal of Chemistry is the property of Hindawi Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

The Effectiveness of Using Application as an Online Basic Computer Learning Medium in Higher Education Institution

The use of Google Meet (GM) application for teaching and learning implementation online is one of the methods in the teaching manual that has been introduced by the Ministry of Higher Education (MOHE). This study aimed to identify the level of readiness of students and self-motivation by students when using the GM application as a medium for online learning Basic Computer subject in Higher Education Institution during pandemic Covid-19. A quantitative study was conducted with the participation of 43 students from Diploma level in Universiti Islam Antarabangsa Sultan Abdul Halim Mu’adzam Shah (UniSHAMS). A set of questionnaires had been provided with three main categories consists of Online Learning Medium, Online Learning Method Using Application, and Relationship Between Online Learning Application’s Features with Self-Motivation. The findings of this study show that Online Learning Medium improves self-motivation and directly encourages students to adopt technology into their learning. Furthermore, learning application directly affects their self-motivation. Online learning medium, as mediated by online learning application, can affect self-motivation. The results suggested that MOHE must encourage the use of online learning application for teaching and learning in their schools to align with the technology growth rapidly © 2022. International Journal of Interactive Mobile Technologies. All Rights Reserved.