The Effectiveness of a Learner-Centered Pedagogical Approach with Flipped Pedagogy and Digital Learning Environment in Higher Education Feedback on a Cell Biology Course

This paper aims to examine the results of a survey of 292 first-year biology students to evaluate their perception of their learning environment, as well as their ability to handle an educational innovation such as reverse pedagogy and serious gaming integrated into a hybrid learning environment. We also present the approaches and steps that allowed us to validate our statistical study. We used a methodology to validate the instrument developed; using standard parameters, the mean and the standard deviation to describe quantitative data and percentages for qualitative data. The internal consistency of the scales was assessed using the correlation coefficient calculated after a one-factor analysis of variance as well as Cronbach's alpha coefficient (α). The scores show that the items and subscales have good internal consistency. In addition, it shows that the students are fully aware of their learning environment and the difficulties they encounter. They are motivated to embrace our pedagogical innovation. It, therefore, confirms our willingness to implement this pedagogical model for students in the coming years

The anticoagulant potential of Lippia Alba extract in inhibiting SARS-CoV-2 Mpro: Density functional calculation, molecular docking analysis, and molecular dynamics simulations

Lippia Alba, a plant commonly utilized in traditional folk medicine, particularly in Brazil, is renowned for its essential oil possessing anti-inflammatory, antibacterial, anesthetic, and antiviral properties. In this study, we conducted molecular analysis, density function calculations, and molecular dynamics simulations to evaluate 13 novel anticoagulant compounds derived from the chemical composition of Lippia Alba, with potential anti-SARS-CoV-2 activity. Our investigation focused on the SARS-CoV-2-associated protein, PDB ID: 6Y2G. Comparative analysis with the reference drug Calpain Inhibitor II revealed that all compounds exhibited a high binding affinity to the SARS-CoV-2 Mpro protein, ranging from -7,5 to -9,9 kcal/mol. Among them, three compounds (C10, C12, and C13) demonstrated favorable pharmacokinetic properties, complying with Lipinski's rule of five. Additionally, Density Functional Theory (DFT) calculations were performed to determine quantum parameters, and a 100 ns molecular dynamics simulation provided insights into the binding stability of the promising compounds within the target protein pocket. Based on our findings, compound 10 shows potential as an effective drug molecule for inhibiting SARS-CoV-2