Mann–Kendall trend test grading. by Yuxin Wei (11510974)

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Distribution of sampling sites in the study area. by Yuxin Wei (11510974)

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Single-factor detection using Geodetector. by Yuxin Wei (11510974)

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Study area. by Yuxin Wei (11510974)

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Remote sensing imagery schedule. by Yuxin Wei (11510974)

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Distribution of Differentially Expressed Genes (DEGs) in affected biological pathways in βA3ΔG91 lenses relative to WT lenses. by Akosua K. Boateng (21672931)

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Crude rates in select US counties between 1999 and 2024. by Tony Wong (779773)

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Alcohol-related monthly crude rates for ages 15 and older between 2018 and 2024, stratified by gender and race. by Tony Wong (779773)

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Percent change in yearly crude rates (between 2019 and 2021 and between 2019 and 2024) by gender and state. by Tony Wong (779773)

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Gibbs diagram of groundwater. by Miaomiao Ma (2475883)

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Groundwater contour map of the study area. by Miaomiao Ma (2475883)

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Endmember diagram of groundwater rock weathering. by Miaomiao Ma (2475883)

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The geological formation of the study area. by Miaomiao Ma (2475883)

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Descriptive statistics. by Katarzyna Markiewicz (20489903)

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Mediation results confirmed by Sobel test. by Katarzyna Markiewicz (20489903)

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Mediation analysis. by Katarzyna Markiewicz (20489903)

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Effect of glucose and efflux pump inhibitors on the efflux of ethidium bromide by <i>Mycobacterium abscessus</i>. by Timilehin Faboro (20175963)

Effect of <i>CrBV3-31</i> interference on lipid metabolism in FAW larvae. by Xian Li (201841)

S1 File - 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. …”

Regions of significance for the simple block slopes on proportion of risky decisions as a function of past-month nonsuicidal self-injury (NSSI) and task. by Brooke H. Nancekivell (19949839)