Although the need for social and emotional development has existed for decades, implementing Social-Emotional Learning (SEL) in schools continues to get considerable attention as newer generations enter the educational system. The demand for development is presently increasing daily. No one challenges the significance of social-emotional learning and the influence of organizations on adolescent development today. Social-emotional learning matches accurately with the priorities in modern schools. In Vietnam, quantitative research was conducted on 350 high school students. This research aimed to determine how students evaluate the implementation of the Social-emotional learning model in soft skills education. The results revealed students’ interest in implementing the social-emotional learning model into soft skills education. In addition, the results indicated the obstacles to implementing the social-emotional learning model in soft skills education. This study’s findings suggested that school leaders and background educators should implement the social-emotional learning model and support, monitor, and evaluate program efficacy to ensure program objectives are reached and students acquire social and emotional abilities. In addition, the study suggested that specific strategies are necessary to limit the factors that prevent the implementation of the social-emotional learning model in high schools.

Objective: In Viet Nam, tuberculosis (TB) prevalence surveys revealed that approximately 98% of individuals with pulmonary TB have TB-presumptive abnormalities on chest radiographs, while 32% have no TB symptoms. This prompted the adoption of the “Double X” strategy, which combines chest radiographs and computer-aided detection with GeneXpert testing to screen for and diagnose TB among vulnerable populations. The aim of this study was to describe demographic, clinical and radiographic characteristics of symptomatic and asymptomatic Double X participants and to assess multilabel radiographic abnormalities on chest radiographs, interpreted by computer-aided detection software, as a possible tool for detecting TB-presumptive abnormalities, particularly for subclinical TB. Methods: Double X participants with TB-presumptive chest radiographs and/or TB symptoms and known risks were referred for confirmatory GeneXpert testing. The demographic and clinical characteristics of all Double X participants and the subset with confirmed TB were summarized. Univariate and multivariable logistic regression modelling was used to evaluate associations between participant characteristics and subclinical TB and between computer-aided detection multilabel radiographic abnormalities and TB. Results: From 2020 to 2022, 96 631 participants received chest radiographs, with 67 881 (70.2%) reporting no TB symptoms. Among 1144 individuals with Xpert-confirmed TB, 51.0% were subclinical. Subclinical TB prevalence was higher in older age groups, non-smokers, those previously treated for TB and the northern region. Among 11 computer-aided detection multilabel radiographic abnormalities, fibrosis was associated with higher odds of subclinical TB. Discussion: In Viet Nam, Double X community case finding detected pulmonary TB, including subclinical TB. Computer-aided detection software may have the potential to identify subclinical TB on chest radiographs by classifying multilabel radiographic abnormalities, but further research is needed.