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. …”

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. …”

<i>hdc</i> silencing causes cell death and cell cycle arrest in the PSC. by Bayan Kharrat (19959505)

Effects of a DCL on the number of 50-kHz USVs induced by rhythmic stroking. by Rie Shimoju (20940045)

Effects of the DCL on the number of categorized 50-kHz USVs induced by rhythmic stroking. by Rie Shimoju (20940045)

Table 1_Immigration reduces selection in water microbial community assembly.xlsx by Fen-Guo Zhang (736948)

Presentation 1_Immigration reduces selection in water microbial community assembly.pdf by Fen-Guo Zhang (736948)

F05 demonstrates additive anti-tumor effects in combination with mAb therapy and reprograms M2 macrophages towards a phagocytotic phenotype. by Keifer G. Kurtz (21416918)

Kinetic characteristics. by Tao Yuan (443733)

“…Additionally, KT resulted in increased peak knee flexion angle (<i>P</i> = 0.002, <i>P</i> = 0.011) and peak ankle dorsiflexion angle (<i>P</i> <0.001, <i>P</i> = 0.005) relative to both NT and PT. KT also significantly reduced mediolateral center of pressure (COP) displacement (<i>P</i> = 0.001) and average velocity of mediolateral COP displacement (<i>P</i> = 0.033) in comparison to NT. …”

Raw data. by Tao Yuan (443733)

“…Additionally, KT resulted in increased peak knee flexion angle (<i>P</i> = 0.002, <i>P</i> = 0.011) and peak ankle dorsiflexion angle (<i>P</i> <0.001, <i>P</i> = 0.005) relative to both NT and PT. KT also significantly reduced mediolateral center of pressure (COP) displacement (<i>P</i> = 0.001) and average velocity of mediolateral COP displacement (<i>P</i> = 0.033) in comparison to NT. …”

Schematic of the Y-balance anterior task. by Tao Yuan (443733)

“…Additionally, KT resulted in increased peak knee flexion angle (<i>P</i> = 0.002, <i>P</i> = 0.011) and peak ankle dorsiflexion angle (<i>P</i> <0.001, <i>P</i> = 0.005) relative to both NT and PT. KT also significantly reduced mediolateral center of pressure (COP) displacement (<i>P</i> = 0.001) and average velocity of mediolateral COP displacement (<i>P</i> = 0.033) in comparison to NT. …”

Demographic characteristics of the two groups. by Tao Yuan (443733)

“…Additionally, KT resulted in increased peak knee flexion angle (<i>P</i> = 0.002, <i>P</i> = 0.011) and peak ankle dorsiflexion angle (<i>P</i> <0.001, <i>P</i> = 0.005) relative to both NT and PT. KT also significantly reduced mediolateral center of pressure (COP) displacement (<i>P</i> = 0.001) and average velocity of mediolateral COP displacement (<i>P</i> = 0.033) in comparison to NT. …”

Optimizing the plastic injection molding process and reducing warpage through response surface methodology by Van-Long Trinh (21338532)

“…The warpage prediction model, significant influencing factors, and optimization have been found. …”

Regulating Effects of Three Polysaccharides on Gut Microbiota in Felines and Canines: Insights from <i>In Vitro</i> Digestion, Fecal Fermentation, and Lactic Acid Bacterial Ferment... by Huasong Bai (17835877)

“…The FU produced the highest lactate concentration. The YG significantly increased SCFA levels, especially in canines, surpassing fructooligosaccharides. …”