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    Harnessing Human-Centered Design for Evidence-Based Psychosocial Interventions and Implementation Strategies in Community Settings: Protocol for Redesign to Improve Usability, Engagement, and Appropriateness by Aaron R Lyon, Sean A Munson, Michael D Pullmann, Brittany Mosser, Tricia Aung, John Fortney, Alex Dopp, Katie P Osterhage, Helen G Haile, Kathryn E Bruzios, Brittany E Blanchard, Ryan Allred, Macey R Fuller, Patrick J Raue, Ian Bennett, Jill Locke, Karen Bearss, Denise Walker, Elizabeth Connors, Eric Bruns, Jenna Van Draanen, Doyanne Darnell, Patricia A Areán

    Published 2025-01-01
    “… BackgroundAlthough substantial progress has been made in establishing evidence-based psychosocial clinical interventions and implementation strategies for mental health, translating research into practice—particularly in more accessible, community settings—has been slow. …”
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    Insufficient Evidence to Recommend Shu Mian Capsule in Managing Depression With or Without Comorbid Insomnia: A Systematic Review With Meta-Analysis and Trial Sequential Analysis by Zhao FY, Xu P, Kennedy GA, Jin X, Wang YM, Zhang WJ, Yue LP, Ho YS, Fu QQ, Conduit R

    Published 2025-01-01
    “…Current evidence precludes recommendations for the administration of SMC in depression.Keywords: Chinese patent medicine, commercial Chinese polyherbal preparation, Chinese medicine, herbal medicine, depressive disorder, major depressive disorder, sleep quality…”
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    Credit Risk Assessment for Small and Microsized Enterprises Using Kernel Feature Selection-Based Multiple Criteria Linear Optimization Classifier: Evidence from China by Yimeng Wang, Yunqi Zhang

    Published 2020-01-01
    “…Credit risk assessment has gained increasing marked attention in the recent years by researchers, financial institutions, and banks, especially for small and microsized enterprises. Evidence shows that the core of small and microsized enterprises’ credit risk assessment is to construct a scientific credit risk indicator system, and the key is to establish an effective credit risk prediction model. …”
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