Fig 4 - by Xinyi Xia (7516694)

Subjects:

Non-covalent interactions between Akt1/Akt2-IN-1 (ball stick) and the AKT2 protein as predicted by molecular docking analyses. by Sadia Afrin Runa (22504971)

Subjects:

Binding affinity of Akt1/Akt2-IN-1, Capivasertib, and Ipatasertib with AKT2 (wild and mutants) protein. by Sadia Afrin Runa (22504971)

Subjects:

Total team A practice head impacts by header scenario. by Rachel S. Watson (21864061)

Subjects:

Superimposed structures of AKT2 native (green color) and mutant (red color) models to visualize the stereochemical conformation of wild type and mutant residues at (a) 274, (b) 265... by Sadia Afrin Runa (22504971)

Subjects:

The Fig illustrates the effects of mutations on the stability, flexibility, compactness, and interactions of the AKT2-Ipatasertib complex through molecular dynamics simulations. by Sadia Afrin Runa (22504971)

Subjects:

Non-covalent interactions between Ipatasertib (ball stick) and the AKT2 protein as predicted by molecular docking analyses. by Sadia Afrin Runa (22504971)

Subjects:

Schematic diagram of entomopathogen derived copper nanoparticles (CuNPs) and their toxic effects on target and non-target species. by Perumal Vivekanandhan (4863484)

Subjects:

The Fig appears to depict the results of conservation profile of amino acids of protein AKT2. by Sadia Afrin Runa (22504971)

Subjects:

Gene expression omnibus datasets. by Xinyi Xia (7516694)

Subjects:

This Fig provides a comprehensive annotation of a AKT2 protein, depicting its domains, homologous superfamilies, active and binding sites, and other sites. by Sadia Afrin Runa (22504971)

Subjects:

The Fig illustrates the effects of mutations on the stability, flexibility, compactness, and interactions of the AKT2- Capivasertib complex through molecular dynamics simulations. by Sadia Afrin Runa (22504971)

Subjects:

Fig 2 - by Xinyi Xia (7516694)

Subjects:

Team A head impacts by player position. by Rachel S. Watson (21864061)

Subjects:

<i>hdc</i> silencing results in cellular stress in the hematopoietic niche. by Bayan Kharrat (19959505)

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. …”

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. …”

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. …”

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. …”