Yifan Song

Aug 30, 2024 | nature.com | Yifan Song |Yining Li |Dalinda Isabel Sánchez-Vidaña |Jack Zhang |Benson Wui-Man Lau |Davynn Gim Hoon Tan | +3 more

Currently, 280 million people worldwide experience depression, ranking it third in the global burden of disease. The incidence of depression has risen due to the COVID-19 pandemic, making it essential to examine evidence-based practices in reducing depressive symptoms during this unprecedented time. This systematic review and meta-analysis aim to analyze randomized controlled trials during the COVID-19 pandemic that evaluated the effect of mindfulness meditation on depressive symptoms in individuals with depression. Four databases (PubMed, Embase, Web of Science, and Scopus) were searched in November 2023 using search terms including meditation, mindfulness, depression, and depressive symptoms. The meta-analysis was conducted using Review Manager 5.4 software (Cochrane Collaboration). A random model and Standard Mean Difference analysis with 95% CIs were used for continuous variables. The systematic review included 26 RCT studies. The meta-analysis showed significant effects of mindfulness meditation interventions (SMD = − 1.14; 95% CI − 1.45 to − 0.83; P < 0.001) in reducing depressive symptoms compared to comparison groups. The findings suggest a positive effect of mindfulness meditation on depressive symptoms in individuals with depression during the COVID-19 pandemic.

Aug 12, 2024 | arxiv.org | Yifan Song |Xiangguo Sun |Dong Kan |Haojia Zhu

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Aug 5, 2024 | mdpi.com | Bo Wang |Yifan Song

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Jul 8, 2024 | preprints.org | Bo Wang |Yifan Song

PreprintArticleVersion 1This version is not peer-reviewedVersion 1: Received: 6 July 2024 / Approved: 8 July 2024 / Online: 8 July 2024 (10:02:57 CEST)Wang, B.; Song, Y. Study on Hydration Heat Effect and Pipe Cooling System of the Mass Concrete Pile Caps. Preprints 2024, 2024070606. https://doi.org/10.20944/preprints202407.0606.v1Wang, B.; Song, Y. Study on Hydration Heat Effect and Pipe Cooling System of the Mass Concrete Pile Caps. Preprints 2024, 2024070606.

Feb 27, 2024 | eprint.iacr.org | Yuval Ishai |Yifan Song

Paper 2024/332 , Technion – Israel Institute of Technology, Institute for Theoretical Computer Science, Institute for Interdisciplinary Information Sciences, Tsinghua University, Shanghai Qi Zhi InstituteAbstract A leakage-resilient circuit for $f:\{0,1\}^n\to\{0,1\}^m$ is a randomized Boolean circuit $C$ mapping a randomized encoding of an input $x$ to an encoding of $y=f(x)$, such that applying any leakage function $L\in \cal L$ to the wires of $C$ reveals essentially nothing about $x$.