Yingpei Zeng
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Quitting trajectories of Hong Kong Chinese smokers receiving behavioral smoking cessation interventions: A post hoc analysis of eight randomized controlled trials
DATA AVAILABILITY STATEMENT The study protocol, statistical analysis plan, and de-identified data are available to the corresponding author on reasonable request. Supporting Information Filename Description add70328-sup-0001-supporting_information.docxWord 2007 document , 824.9 KB Table S1. Study design of the trials. Table S2. Sex, age, cigarettes per day, and previous quit attempts of study participants and smokers in the Hong Kong general population. Table S3.
Engagement With a Mobile Chat-Based Intervention for Smoking Cessation
Key Points Question How does engagement with a mobile chat-based intervention affect smoking abstinence among cigarette smokers? Findings In this secondary analysis of a cluster randomized clinical trial involving 624 cigarette smokers receiving chat-based smoking cessation support via mobile instant messaging for 3 months, 4 distinct engagement trajectories were identified.
DAFuzz: data-aware fuzzing of in-memory data stores
DAFuzz: data-aware fuzzing of in-memory data stores 1School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China 2Zhejiang Key Laboratory of Open Data, Hangzhou, China 3Hangzhou Innovation Institute, Beihang University, Hangzhou, China DOI 10.7717/peerj-cs.1592 Academic Editor Muhammad Aleem Subject Areas Data Science, Databases, Security and Privacy, Software Engineering Keywords Coverage-base fuzzing, In-memory data store, Data-aware, Semantic-aware, Input generation, Coverage-guided...
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