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Background: While public health efforts have made tobacco smoking near obsolete among adolescents, vaping products are quickly taking their place. With the negative health consequences looming ahead of young vapers, there is a desperate need to curb youth vaping. Adolescents want to be actively engaged in their health which creates space to educate on vaping in this population segment. Methods: From January to May 2023, 35 adolescents aged 11–18 participated in interviews to assess the investigator-developed Teen E-cigarette and Vaping Educational Resource (T-EVER). All the interviews were recorded and transcribed for independent analysis by two study team members. Results: The participants liked the T-EVER, indicating they were engaged in the content. However, some participants wanted more information. The participants wanted health professionals to educate them on vaping but were worried about the potential barriers facing the implementation in community pharmacy settings. Conclusions: Adolescents want to learn about vaping, but there are limited opportunities to do so. The T-EVER is designed to educate youth about vaping. This tool was well received and has the potential to be used by pharmacists as a vaping prevention and cessation intervention. More research is required to discern the true scope of the pharmacist's role in using an educational tool to address adolescent vaping. [ABSTRACT FROM AUTHOR]

This paper develops algorithms and investigates various classifiers to determine the authenticity of short social network postings, an average of 20.6 words, from Facebook. This paper presents and discusses several experiments using a variety of classifiers. The goal of this research is to determine the degree to which such postings can be authenticated as coming from the purported user and not from an intruder. Various sets of stylometry and ad hoc social networking features were developed to categorize 9259 posts from 30 Facebook authors as authentic or non-authentic. An algorithm to utilize machine-learning classifiers for investigating this problem is described, and an additional voting algorithm that combines three classifiers is investigated. This research is one of the first works that focused on authorship authentication in short messages, such as postings on social network sites. The challenges of applying traditional stylometry techniques on short messages are discussed. Experimental results demonstrate an average accuracy rate of 79.6% among 30 users. Further empirical analyses evaluate the effect of sample size, feature selection, user writing style, and classification method on authorship authentication, indicating varying degrees of success compared with previous studies. Copyright © 2016 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Background: Racism experienced by nursing students contributes to a loss of confidence and anxiety. The Addressing Culturally Based Hidden Bias and RacisM (A-CHARM) nursing project simulation experiences (SEs) provide opportunities to practice addressing racism/inappropriate comments experienced in the clinical setting. The aim is to describe the development of the A-CHARM nursing project SEs., Method: The frameworks used in the development of the SEs include the (1) six-step approach, (2) ERASE framework, (3) SENSE debriefing model, and (4) Microaggressions Triangle model., Results: Five SEs were created that depicted scenes where a nursing student encounters racism/inappropriate comments. Each SE aligned with one of the frameworks and users utilized the framework to navigate the SE., Conclusion: The A-CHARM nursing SEs may benefit nursing students by enhancing their knowledge and skills related to racism or inappropriate comments in clinical settings. Future research will evaluate the impact of the SEs on nursing students and clinical faculty. [ J Nurs Educ . 2024;63(X):XXX-XXX.] .