Parameter diagram for raised features on the specimen surface (a) Volume (b) Surface Area (c) Height (d) Cross-sectional area. by Yang Li (7082)

Subjects:

Data Set. by Yang Li (7082)

Subjects:

Experiment Schedule. by Yang Li (7082)

Subjects:

Parameter diagram for the raised portions on the specimen surface (a) Volume (b) Surface Area (c) Height (d) Cross-sectional area. by Yang Li (7082)

Subjects:

SEM image of 10-micron iron oxide particles. by Yang Li (7082)

Subjects:

Particle size distribution of iron oxide. by Yang Li (7082)

Subjects:

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

Subjects:

Parameter diagram for pit features on the specimen surface (a) Volume (b) Surface Area (c) Depth (d) Cross-sectional area. by Yang Li (7082)

Subjects:

Pearson correlation coefficients between accumulated Covid vaccine doses and Incidence, Lethality and Mortality rates in brazilian pregnant and postpartum women. by Marcela de Andrade Pereira Silva (12877870)

Subjects:

Behavior of incidence, lethality and mortality rates of pregnant and postpartum women with SARS caused by SARS-CoV-2, between the periods from March/2020 to April/2024 in Brazil. by Marcela de Andrade Pereira Silva (12877870)

Subjects:

ANOVA and Tukey’s post-hoc to compare the average monthly rates of Incidence, Lethality and Mortality before and after the first monthly peak of application of the Covid-19 vaccine... by Marcela de Andrade Pereira Silva (12877870)

Subjects:

Doses of the Covid-19 vaccine administered to pregnant and postpartum women, from January/21 to April/24 in Brazil. by Marcela de Andrade Pereira Silva (12877870)

Subjects:

Approximate smoothing terms of GAM Models with interaction for Incidence, Lethality and Mortality rates due to Covid-19 in pregnant and postpartum women. by Marcela de Andrade Pereira Silva (12877870)

Subjects:

Estimated parametric coefficients of GAM Models with interaction for Incidence, Lethality and Mortality rates due to Covid-19 in pregnant and postpartum women. by Marcela de Andrade Pereira Silva (12877870)

Subjects:

GAM models with interaction adjusted for Incidence, Lethality and Mortality rates due to Covid-19 in pregnant and postpartum women. by Marcela de Andrade Pereira Silva (12877870)

Subjects:

Accumulated doses of vaccine against Covid-19 and Incidence, Lethality and Mortality rates in pregnant and postpartum women by brazilian macroregion. by Marcela de Andrade Pereira Silva (12877870)

Subjects:

Average ratio of the concentrations obtained with qPCR, before and after DNase treatment, and with DAO before DNase treatment of the ISP phage stocks. by Saar Van Overfelt (20378458)

Subjects:

Cinnamaldehyde repellency test within 6 hours in parthenogenesis <i>H. longicornis.</i> by Ceyan Kuang (8554557)

Subjects:

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. …”