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. …”

Descriptive statistics of variables. 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. …”

Endogenous treatment. 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. …”

Analysis of industry linkage effects. 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. …”

Analysis of peer effects. 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. …”

Entomopathogenic fungi-derived copper nanoparticles (CuNPs) exhibited pupicidal activity against pupae of <i>A</i>. <i>albopictus</i> at 24 and 48h post treatment. by Perumal Vivekanandhan (4863484)

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Entomopathogenic fungi-derived copper nanoparticles (CuNPs) exhibited adulticidal activity against adult of <i>A</i>. <i>albopictus</i> at 24 and 48h post treatment. by Perumal Vivekanandhan (4863484)

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Entomopathogenic fungi-derived copper nanoparticles (CuNPs) exhibited larvicidal activity against larvae of <i>A</i>. <i>albopictu</i> at 24 and 48h post treatment. by Perumal Vivekanandhan (4863484)

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Entomopathogenic fungi-derived copper nanoparticles (CuNPs) exhibited minimal toxicity effects against <i>A</i>. <i>salina</i> at 24 and 48h post treatment. by Perumal Vivekanandhan (4863484)

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Installation drawing of experimental test specimen. by Yang Li (7082)

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Graph of wear volume variation for test groups with different particle sizes at two concentrations. by Yang Li (7082)

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Graph of friction coefficient variation for test groups with different particle sizes at two concentrations. by Yang Li (7082)

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Particle size distribution chart of 10-micron iron oxide particles. by Yang Li (7082)

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Graph of temperature rise variation for test groups with different particle sizes at two concentrations. by Yang Li (7082)

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Podocyte numbers in control and iPLA₂γ KO mice (WT1-positive cells). by Andrey V. Cybulsky (4007012)

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Control (Ctrl) STZ mice show changes in glomerular morphology. by Andrey V. Cybulsky (4007012)

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Primary data. by Andrey V. Cybulsky (4007012)

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Control (Ctrl) GECs are more susceptible to injury compared to iPLA₂γ KO GECs. by Andrey V. Cybulsky (4007012)

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KO of iPLA₂γ attenuates development of albuminuria in STZ-induced diabetic nephropathy. by Andrey V. Cybulsky (4007012)

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Nitrate anomaly series. by Antonio Bode (1473376)

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