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. …”

Malformations of cardiac valves in <i>Drosophila.</i> by Christian Meyer (6035)

Valve closing capability and hemolymph flow analysis. by Christian Meyer (6035)

“…Pixel intensity in ROI 1 increases if hemolymph packages pass and decreases, if valves close after each heartbeat, respectively. …”

Location and division of the study area. by Bianhua Zhang (22430652)

Subjects: “…aggregation coefficient decreased…”

Results of redundancy analysis. by Bianhua Zhang (22430652)

Subjects: “…aggregation coefficient decreased…”

The effect of CWI on (A) creatinine levels, (B) estimated glomerular filtration rate (eGFR) and correlations between these parameters before (C) and after (D) CWI in young healthy... by Aneta Teległów (9570190)

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The effect of CWI on blood levels of (A) thyroid-stimulating hormone (TSH) and (B) testosterone in young healthy males. by Aneta Teległów (9570190)

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Mean values (± standard deviation) of CK, CK-MB and LDH before and after CWI. by Aneta Teległów (9570190)

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Mean values (± standard deviation) of liver profile parameters before and after CWI. by Aneta Teległów (9570190)

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Mean values (± standard deviation) of renal profile parameters before and after CWI. by Aneta Teległów (9570190)

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Mean values (± standard deviation) of hormonal parameters before and after CWI. by Aneta Teległów (9570190)

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Mean values (± standard deviation) of electrolyte concentrations before and after CWI. by Aneta Teległów (9570190)

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Mean values (± standard deviation) of lipid profile parameters before and after CWI. by Aneta Teległów (9570190)

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The effect of CWI on blood levels of (A) creatine kinase (CK); (B) CK-muscle brain (CK-MB) and (C) lactate dehydrogenase (LDH) in young healthy males. by Aneta Teległów (9570190)

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Correlation between relative amounts of lipid species and number of days since the onset of symptoms among COVID-19 cases. by Spela Kokelj (8356644)

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Correlation between protein abundances and R_5-20 z-score among cases at baseline. Protein abundances, normalized to mean 0 and variance 1, are displayed on the y-axis. (... by Spela Kokelj (8356644)

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General characteristics and clinical data of the subjects included in the study. by Spela Kokelj (8356644)

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