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. …”

The solvent accessible surface area (SASA) of wild-type (green line) AKR1C3 (complexed with the ligand, NADPH) was lower than that of the mutant (purple line) AKR1C3 (complexed wit... by Md. Akeruzzaman Shaon (21511929)

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)

Schematic of the under-sink filter and POU UVC LED setup installed in each household. by Hania Zanib (21864477)

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Paired influent and effluent concentrations of total coliforms (panel A), heterotrophic plate count (panel B), and male-specific coliphages (panel C) across POU UVC LED devices ins... by Hania Zanib (21864477)

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Number of distinct colonies on HPC plates (representing diversity of heterotrophic bacteria) in paired influent and effluent samples. by Hania Zanib (21864477)

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Examples of HPC plates from four different households showing variable removal depending on the microbial composition of the influent sample. by Hania Zanib (21864477)

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Summary of POU UVC LED influent and effluent microbial water quality and log-removals. E. coli was not detected in any influent or effluent samples. Total coliform concentrations s... by Hania Zanib (21864477)

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One-Step Synthesis of a Novel Intrinsically Flame-Retardant Thermoplastic Polyamide 6 Elastomer: Structure, Properties, and Spinnability by Haoyi Hu (18980061)

“…Despite great advances in thermoplastic polyamide elastomers (TPAEs), it is still a significant challenge for preparing flame-retardant TPAEs with facile strategies. …”

Prevalence of the common NCD risk factors by region. by Ronald Kusolo (13200268)

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Prevalence of the common NCD risk factors by Urbanicity. by Ronald Kusolo (13200268)

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Participant characteristics. by Ronald Kusolo (13200268)

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<i>RTTN</i>-mutated organoids exhibit decreased proliferation and increased cell death at early stages. by Justine Guguin (9088672)

EVs from infected neurons alter astrocyte gene expression and decrease GLT-1 protein expression. by Emily Z. Tabaie (16630841)

Mechanical data for the two drill bits in the MIPS system (MIPS GS, MIPS WD) and the single drill bits in the MONO system at different feed rates (mm/s). The data are shown as the... by Marsel Ganeyev (21453399)

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(A) Thermocouple positions for the MIPS and MONO systems. (B) Preparation of bone cubes from fresh cow tibias further employed for ex vivo mechanical evaluation, osteotomy and bone... by Marsel Ganeyev (21453399)

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