Statistical analysis of differences in the soil bacterial and fungal communities between mobile and fixed dunes. by Chengchen Pan (287383)

Subjects:

The vegetation and soil properties of mobile and fixed dunes. by Chengchen Pan (287383)

Subjects:

rTsSPc induced Caco-2 cell apoptosis. by Qi Qi Lu (17721401)

Subjects:

(a to g) Administration of vitamin D3 increased serum phosphorus and triglycerides. by Vidya G. Bettada (22208808)

“…Analyses of serum cholesterol, HDL and triglycerides also showed a non-significant decrease in the serum HDL level upon treatment with 125 µg/Kg vitamin D3, but a noticeable increase in the serum triglyceride level was observed with 125 µg/Kg of vitamin D3.…”

Distribution of different ingredients at the same IDDSI level (Percentage and frequency) and statistical significance analysis (Chi-square test)^b'*'. by Muxi Chen (9294270)

Subjects:

Decreased clonogenic capacity of U87MG and U251MG glioma cells dependent on SHG-44 concentration. by Denis Mustafov (19137870)

MiR-129-5p levels were decreased in mouse depression models. by Qiaozhen Qin (13159201)

“…</b> Histogram depicting the distribution of increased and decreased miRNAs between control and CRS mice. …”

Remyelination in adulthood leads to an incomplete restoration of PV interneuron properties. by Sara Hijazi (21656615)

“…Average action potential (AP) frequency in response to 0-650 pA current steps illustrating a significant decrease in PV interneuron firing frequency in remyelination (green) mice (<i>group x current two-way repeated measures: n = 25/19 cells from 8 mice per group: F(13,546) = 3.962, ***p < 0.001</i>). …”

Effects of GJE extract treatment decreased protein expression of MMP-12, α-SMA, IL-13, and TGF-β1 levels. by Natnicha Suttawong (22367172)

Logistics regression analysis for the associations between decreased kidney function (eGFR < 90 mL/min/1.73 m²) and sex-specific z-scores of anthropometric indices, weig... by Xinyun Chen (6655703)

Average Time Between Successive R-wave Peaks (RR Intervals) across pre-interview, interview and post-interview phases for High and Low Clarity and Authority groups: RR decreases fr... by David Vagni (8060432)

Akt3 null animals have reduced Aurora B expression and proliferation and increased apoptosis. by Zachary J. Hough (20840430)

Subjects:

Summary of significant single-arm time effect. by Wensheng Xiao (16557866)

Normalized significant family changes in abundance. by Karley K. Mahalak (3212670)

“…<p>A) <i>Erysipelotrichaceae</i> significantly increased with CCE treatment; B) <i>Bacteroidales_unclassified</i> significantly decreased with CCE treatment; C) <i>Desulfovibrionaceae</i> significantly decreased with CCE treatment; D) <i>Rikenellaceae</i> significantly decreased with CCE treatment; E) <i>Coriobacteriaceae</i> significantly decreased with CCE treatment; F) <i>Erysipelotrichaceae</i> significantly increased with TRE treatment.…”

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. …”

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. …”