A Guide to Constructing Indigenous Statistical Spaces for Prevention Science Research [0.03%]
建构土著统计概念空间指导预防科学预防科学研究指南
Valentín Quiroz de la Sierra
Valentín Quiroz de la Sierra
Artificial intelligence (AI)-powered computational methods, such as machine learning and natural language processing, are increasingly applied in deaths of despair research among Indigenous populations. However, their application in Indigen...
Detecting Patterns of Intimate Partner Violence Using Qualitative Analyses and Machine Learning Algorithms [0.03%]
基于定性分析和机器学习算法的家庭暴力行为检测研究
Ying Zhang,Jun Fang,Ambika Krishnakumar
Ying Zhang
Intimate partner violence (IPV) survivors increasingly use social media platforms to share their experiences and to seek help and support for their IPV-related concerns. IPV evidence extracted from social media platforms can provide valuabl...
Effects of the ADAPT Military Parenting Program on Parenting Behaviors in a Subsample of Deployed Mothers [0.03%]
ADAPT军事育儿项目对部署母亲育儿行为影响的子样本研究
Cheuk H Cheng,Susanne S Lee,Abigail H Gewirtz
Cheuk H Cheng
The current study examined the effects of the After Deployment, Adaptive Parenting Tools (ADAPT program), a parenting program for military families, in a subsample of deployed mothers from a larger randomized control trial. Multiple regress...
The Use of Machine Learning to Predict Offline Adolescent e-Cigarette Use: a Proof-of-Concept [0.03%]
利用机器学习预测离线青少年使用电子烟：一种概念验证方法
Julie V Cristello,Krzysztof Bogusz,Elisa M Trucco
Julie V Cristello
Identification of adolescent e-cigarette use could inform prevention and intervention programming and reduce associated consequences. One way to predict those engaging in use is by examining social media profiles and metrics. Most studies e...
A Mixed-Methods Study of Policymakers' Adoption of AI to Support Use of Research Evidence: Implications for Artificial Intelligence in Prevention Policy [0.03%]
一种混合方法研究：决策者采用AI来支持使用研究证据的采纳情况：对预防政策中人工智能的启示
D Max Crowley,Jonathan Wright,Alex Winters et al.
D Max Crowley et al.
Policymakers are increasingly adopting artificial intelligence (AI) tools to support legislative decision-making, yet there is limited empirical understanding of how these technologies are used and the implications for evidence-based policy...
Measuring Exposure to Gun Violence and Risky Behavior: Psychometric Validation and Analysis of the Gun Violence Exposure (Gun-X) Scale [0.03%]
枪支暴力暴露(Gun-X量表)的编制及初步信效度分析
Kimberly J Mitchell,Victoria Banyard,Patrick J Guziewicz et al.
Kimberly J Mitchell et al.
Gun violence is a critical public health problem in the United States, requiring improved strategies for early identification and prevention. This study introduces and validates the Gun Violence Exposure (Gun-X) Scale, designed to assess aw...
Role of an Intermediary Organization and State Government Partnership to Advance Practice and Policy in Children's Behavioral Health [0.03%]
中介组织和州政府合作推动儿童行为健康实践和政策的作用
Jason M Lang,Kellie Randall,Aleece Kelly et al.
Jason M Lang et al.
Policymakers navigating an increasingly complex and evolving landscape can benefit from establishing intersectoral partnerships with researchers, providers, schools, family advocates, and other stakeholders in children's behavioral health. ...
The Run It Up Intervention: Addressing the Effects of Structural Determinants on Adolescent Identity, Beliefs, and Involvement in Firearm Violence-Formative Research and Intervention Development [0.03%]
“Run It Up”干预研究：解决结构性决定因素对青少年身份、信念以及涉枪暴力行为影响的形成性研究及干预开发研究
Mark C Edberg,W Douglas Evans,Yan Wang et al.
Mark C Edberg et al.
Firearm violence in Washington, DC, rose from 2020 to 2022, especially in neighborhoods most affected by long-term socioeconomic marginalization as discussed by Josephson (2022). The Run It Up project is a research-based effort to reduce th...
How Adherence to an Evidence-Based Targeted Intervention Procedure is Related to Intervention Effectiveness? [0.03%]
基于证据的干预措施遵循程度与干预效果之间关系的研究
Eerika Johander,Lydia Laninga-Wijnen,Daniel Graf et al.
Eerika Johander et al.
Research suggests that although teachers' targeted interventions can stop bullying, they still fail in about one-fourth of cases. Yet, most studies to date have not considered how targeted interventions were implemented, leaving open the po...
Leveraging State-Level Partnerships to Scale-Up Positive Behavioral Interventions and Supports in U.S. Schools [0.03%]
利用州级合作伙伴关系扩大美国学校中的积极行为干预和支持规模
Angus Kittelman,Timothy J Lewis,Steve Goodman et al.
Angus Kittelman et al.
Positive Behavioral Interventions and Supports (PBIS) is widely implemented in districts and schools across the United States. State leadership teams play critical roles in facilitating the successful scale up of PBIS in partnership with th...