The study employed a retrospective descriptive design, analyzing data from the hospital's 2024 drug formulary, infrastructure, equipment, and drug supply management records.
The antioxidant and UV-filter activities of five coumarins are investigated by computational approach, using Density
Functional Theory (DFT) and Time-Dependent Density Functional Theory (TD-DFT), in combination with M05-2X and
cc-pVTZ basis sets. The optimized geometries, electronic structures, and intrinsic thermochemical properties of
coumarins are first studied in the gas phase as well as in solvents (pentylethanoate and water).
As Vietnam's pharmaceutical sector experiences rapid growth and heightened competition, the need for effective marketing strategies is paramount. This study addresses a gap in the existing literature by offering a detailed 4Pbased analysis of the marketing strategies of a key local player, Tra Vinh Pharmaceutical JSC (TV.PHARM), from 2023 to 2024.
This study presents an SRLbot model to transform Zimmerman’s Self-Regulated Learning (SRL) model, in which learners set goals, monitor progress, and conduct self-evaluation, into an AI chatbot-assisted interactive model.
The study proposes and implements a set of measures, including guiding students to master the basic OREO structure in each paragraph, training the articulation of sharp opinions, developing persuasive reasons and evidence, and constructing a complete essay outline based on OREO.
This study has practical significance, as it provides a detailed methodology that can be flexibly applied in various teaching and learning conditions. At the same time, it contributes to realizing the policy of educational innovation, transforming text comprehension lessons into a more dynamic, democratic, and effective learning space, meeting the requirements of comprehensive innovation in general education.
This overview research adopts PRISMA method in order to screen and categorize theoretical frameworks, specify
the effective mechanisms of immersive experiences on cognition, purchase decision-making and brand engagement.
This study tests an integrated model combining the Technology Acceptance Model (TAM), Expectancy-Value Theory
(EVT), and the Stimulus-Organism-Response (SOR) framework to explain how AI-based personalized recommendations influence consumer behavior in Vietnam’s e-commerce context. Data from 303 frequent users in Da Nang who frequently use Shopee, TikTok Shop, and Lazada were analyzed using Partial Least Squares Structural Equation Modeling (PLSSEM).
Focuses on analyzing the types of themes used in IELTS academic writing task 1 samples from Cambridge IELTS books, identifying patterns in their use and discussing their implications for writing proficiency.
The goal of this study is to determine the variables that affect female students at Duy Tan University's decision to
have a cervical cancer vaccination. The study, which combined qualitative and quantitative methodologies, shows that healthcare providers' recommendations, positive attitudes, and awareness about cervical cancer all positively influence vaccination decisions. To promote cervical cancer vaccine among female students, however, significant obstacles include high costs and a lack of knowledge. The study suggests improving financial assistance, health education, and communication in order to raise immunization rates. The findings will raise awareness among female students at Duy Tan University about the value of preventive vaccinations and contribute to a decrease in the incidence and mortality of cervical cancer.
