Sexual maturity status of female C57BL/6J Mice at different ages. by Yan She (8639796)

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Presents the bibliometric search results. by Yan She (8639796)

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Flow chart of data screening and analysis. by Yan She (8639796)

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S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism. by Yan She (8639796)

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Col outcomes QR. by Felipe Agudelo-Hernández (20790521)

“…</p><p>Results</p><p>Statistically significant improvements were observed in human rights understanding, reduced stigmatizing attitudes toward mental health and decreased authoritarianism. …”

Pre-post comparison of study variables. by Felipe Agudelo-Hernández (20790521)

“…</p><p>Results</p><p>Statistically significant improvements were observed in human rights understanding, reduced stigmatizing attitudes toward mental health and decreased authoritarianism. …”

Testing equipment and typical specimen failure modes: by Hong Zhang (25820)

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Proportion of L3 recovered from forages. by Katy A. Martin (9216905)

Distribution of total <i>T. colubriformis</i> recovered after 48 hours, stratified by height zone. by Katy A. Martin (9216905)

Y-27632 collaborated with BA to attenuate the increase in the integrity and decrease in the permeability of epithelial barrier injury induced by LPS in Caco2 monolayers. by Luqiong Liu (11537092)

“…(<b>C</b>) Y-27632 collaborated with BA to alleviate the decrease in FD-4 flux in LPS-induced Caco2 cells on day 22. …”

Y-27632 synergized with BA to alleviate the decrease in the expression of and abnormal localization of ZO-1 and Occludin in LPS-induced Caco2 cells. by Luqiong Liu (11537092)

Effects of GJE extract treatment decreased protein expression of MMP-12, α-SMA, IL-13, and TGF-β1 levels. by Natnicha Suttawong (22367172)

Heterogeneity test. 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. …”

The robustness test. 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. …”

Mechanistic testing. 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. …”

Monthly number of tests per 100,000 patients for chlamydia (left) and gonorrhea (right) tests in the American Family Cohort in 2019, 2020, and 2021, age standardized to the U.S. st... by Shiying Hao (659634)

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Trust levels before and after the COVID-19 pandemic (n = 10,000). by Alain Abi-Rizk (8549358)

Tax1bp1-deficiency decreases the frequency of microabscess formation and lymphocyte depletion during <i>L. monocytogenes</i> infection. by Jeffrey Chin (22538086)

Inhibition of LDHA leads to decreased ATP, reduced AKT phosphorylation, and enhanced chemotherapy sensitivity to LBP in A549 and NCL-H1975 cells. by Siyu Yuan (7425719)

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A T-test mean comparison of pre and post COVID-19 differences for selected variables. by Beshir Bedru Nasir (8218863)

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