Graphical abstract regarding program development. by Ana Beato (20489933)

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Overview of the WeARTolerance program. by Ana Beato (20489933)

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Phases of the intervention program. by Ana Beato (20489933)

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Means with standard errors across time points for the outcome of mental health knowledge. by Ana Beato (20489933)

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Categories, subcategories, and examples of excerpts from the transcripts. by Ana Beato (20489933)

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Consort diagram. by Ana Beato (20489933)

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Descriptive statistics of outcomes at baseline, post-intervention, and follow-up and estimates of the linear mixed effects model for the outcomes. by Ana Beato (20489933)

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Graphical abstract regarding the program organization. by Ana Beato (20489933)

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Mean standard errors across time points for the outcome of social stigma. by Ana Beato (20489933)

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Means with standard errors across time points for the outcome of social distance. by Ana Beato (20489933)

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Means with standard errors across time points for the outcome of intergroup anxiety. by Ana Beato (20489933)

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Characteristics of the sample. by Ana Beato (20489933)

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<i>japonicum</i> infection induces MST1 activation. by Jianyang Li (461703)

Mst1 knockout or suppressing its kinase activity increases the production of inflammatory mediators by activating the NF-κB pathway. by Jianyang Li (461703)

MST1was downregulated in macrophages from fibrotic livers of <i>S</i>. <i>japonicum</i>-infected mice and SEA-treated RAW264.7 cells. by Jianyang Li (461703)

MST1 upregulates CD36 expression via PPARγ. by Jianyang Li (461703)

Downregulation of CD36 impaired phagocytic capacity and is associated with a proinflammatory phenotype of <i>Mst1</i> deficiency macrophages. by Jianyang Li (461703)

Schematic of <i>Shroom3</i> gene trap allele and novel floxed <i>Shroom3</i> allele. by Jennifer L. Carleton (22208916)

Metformin lotion is anti-inflammatory in serum following skin wounds. by Jianying Zhang (256508)

Benchmark regression results. by Pengyu Yang (2668450)

“…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”