THE CONTEXTUAL ADAPTATION AND EDUCATIONAL IMPACTS OF THE MHGAP-IG TO ADDRESS CHILD MENTAL AND BEHAVIORAL DISORDER TREATMENT GAP IN CHINA: A MIXED-METHOD STUDY

The contextual adaptation and educational impacts of the mhGAP-IG to address child mental and behavioral disorder treatment gap in China: A mixed-method study

The Mental Health Gap Action Program Intervention Guide (mhGAP-IG) is an international evidence-based intervention to enhance the scalability of non-specialized workforce to address mental, neurological, and substance use disorders, including child mental and behavioral disorders (CMBDs).Implementation in China remains limited.This study sought to

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Chain mediations of perceived social support and emotional regulation efficacy between role stress and compassion fatigue: insights from the COVID-19 pandemic

BackgroundNurses at the frontline faced high risks of the COVID-19 infection, undertook heavy workloads of patient care, and experienced tremendous stress that often led to compassion fatigue.AimThis study was to explore the role of positive psychosocial resources (i.e., perceived social support and emotional regulation efficacy) in the relationshi

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Efficient joint noise removal and multi exposure fusion.

Multi-exposure fusion (MEF) is a technique that combines different snapshots of the same scene, captured with different exposure times, into a single image.This combination process (also known as fusion) is performed in such a way that the parts with better exposure of each input image have a stronger influence.Therefore, Allulose in the result ima

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Face Detection and Recognition Using Raspberry PI Computer

This paper presents a face detection and recognition system utilizing a Raspberry MARINE COLLAGEN PWD Pi computer that is built on a predefined framework.The theoretical section of this article shows several techniques that can be used for face detection, including Haar cascades, Histograms of Oriented Gradients, Support Vector Machine and Deep Lea

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