Results 41 to 50 of about 26,034 (321)
Predictors of perceived success in quitting smoking by vaping: A machine learning approach
Prior research has suggested that a set of unique characteristics may be associated with adult cigarette smokers who are able to quit smoking using e-cigarettes (vaping).
Rui Fu +5 more
doaj +2 more sources
BackgroundNicotine and cannabis vaping are common among young adults and can potentially lead to adverse health consequences. Identifying real-time antecedents of vaping events may provide insights into intervention targets pertinent to these behaviors ...
Vuong Van Do +5 more
doaj +1 more source
A machine learning approach to predict e-cigarette use and dependence among Ontario youth
IntroductionWe developed separate random forest algorithms to predict e-cigarette (vaping) ever use and daily use among Ontario youth, and subsequently examined predictor importance and statistical interaction.
Jiamin Shi +3 more
doaj +1 more source
Bridging the knowledge gap on vaping
Despite the established health risks associated with vaping, there remains a significant gap in public awareness, especially among youths. The widespread misconception that vaping is a safer alternative to traditional cigarettes has fuelled their rising ...
Look, Keyun +4 more
core
“If I could try it, I’d try it”: Qualitative study of the illegal vaping culture in Singapore
Aims and background: Singapore has one the world’s strictest e-cigarette (vaping) regulations, with bans on e-cigarette import, sale, purchase, use and possession. Nevertheless, Singapore is seeing a growing vaping trend.
Grace Ping Ping Tan +2 more
doaj +1 more source
Background: Nicotine vaping among U.S. adolescents has risen rapidly over the past decade, particularly for youth in grade 12. While previous studies examined the relationship between nicotine vaping and combustible cigarette use, less is known about the
Hadley Ankrum +8 more
doaj +1 more source
Multilayered Digital Microfluidic Chip for Cell‐Based Assays
A multilayered digital microfluidic (mDMF) chip architecture is introduced to improve throughput and robustness in cell‐based assays. By multilayering electrode components and dielectric layers on glass, this design significantly reduces actuation voltage, maintains reliability, and enables expansion of the operational area with minimum current leakage.
Mert Ozden +2 more
wiley +1 more source
Background Vaping is increasing in popularity. Vape products are offered in a wide variety and promise to reduce harms associated with cigarette smoking, among other claims. The motivations for vaping in patients with substance use disorder are largely
Alessia D’Elia +11 more
doaj +1 more source
The Prevalence of Vaping and Vaping Addiction Among a Sample of College Students
Nicotine and e-cigarette use has been on the rise over the past decade. Young adults are rapidly getting involved in the trend and the rising incidence of involvement is alarming as there are long-term health impacts which have not been sufficiently ...
Swinson, Kathryn A +1 more
core
Abstract In Santa Barbara County, the Youth Empowerment Services (YES) Program brought together several government and community‐based organizations, as well as a university‐based evaluation team, to provide pre‐adjudication diversion to youth ages 12 to 17.
Angela Pollard +7 more
wiley +1 more source

