The interaction effect of CS*SFSF on SOM and WDPT under cycling irrigation (CI) coupled with Si fertilization. by Jieru Zhao (21262027)

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Venn diagram to illustrate the distribution and overlap of significant lipid metabolites across the different comparisons. by Laia Bertran (3685147)

The interaction effect of CS*SFSF on Changes in soil pH (a), potassium to sodium ratio (K/Na) (b), ESP (c), and SAR (d) under cycling irrigation (CI) coupled with silicon fertiliza... by Jieru Zhao (21262027)

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The interaction effect of CS*SFSF on alterations in leaf Malondialdehyde (MDA) and soluble protein levels subjected to cycling irrigation (CI) methods in conjunction with silicon n... by Jieru Zhao (21262027)

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Additional file 3 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study by Juliane Schikora (20871169)

Sodium level changes in matched restaurant menu items (2016–2020) by UK NSRI food category. by Caroline G. Middleton (22041479)

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Relative abundance of bacteria phyla (a) and classes (b) in root zone soil of different tea varieties. by Jun Sun (48981)

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Fer-1 increased SLC7A11 and Nrf2 expression to resist <i>C. sinensis</i>-induced ferroptosis. by Haoyang Zhang (1706815)

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. …”

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. …”

Scheme of the test section. by Decang Lou (21439960)

“…However, when the simulated surface temperature of the vane was compared with the cooling test data, in which the vane was 3D-printed, significant deviation of the surface temperature distribution was observed. …”

Main test parameters. by Decang Lou (21439960)

“…However, when the simulated surface temperature of the vane was compared with the cooling test data, in which the vane was 3D-printed, significant deviation of the surface temperature distribution was observed. …”

Schematic of the test equipment. by Decang Lou (21439960)

“…However, when the simulated surface temperature of the vane was compared with the cooling test data, in which the vane was 3D-printed, significant deviation of the surface temperature distribution was observed. …”

Graphical presentation of % decrease for C-peptide from baseline at different conditions. by Nathan Mubiru (21627195)

Representative SEM images of the dentin surface topography of the three SDF test groups and the SDF-free group. by Suphanida Kaewkamchai (19762172)

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TNFAIP9 expression was increased in mice with chronic kidney disease (CKD) induced by 5/6 nephrectomy (Nx). by Ying Chen (9697)

Behaviour and significance of reservoir evaporation and seepage losses – an experience of four reservoirs in Damodar River Valley, India by Dipankar Chaudhuri (498103)

“…Annual seepage loss and its mean rate increased gradually for a considerable period during initial operation stage; later, both decreased and stabilized. …”

Comparison within groups. by Neng Pan (5262032)

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Baseline characteristics. by Neng Pan (5262032)

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