Peak stress of orthogonal experimental group. by Lei Zhu (16642)

“…The results indicate that: (1) The manifestation of mining pressure in gangue backfill mining is influenced by factors such as mining height and backfill collapse ratio; (2) Under the support of coal gangue, the concentrated stress in the coal seam significantly decreases, forming an arched shape according to the mining stages; (3) The range of plastic failure in the coal seam remains relatively stable under gangue backfill mining, with the plastic zone of the roof plate exhibiting a strip-like distribution; (4) Both range analysis and variance analysis revealed that the sensitivity ranking is backfill collapse ratio > mining height > elastic modulus. …”

Orthogonal test results diagram. by Lei Zhu (16642)

“…The results indicate that: (1) The manifestation of mining pressure in gangue backfill mining is influenced by factors such as mining height and backfill collapse ratio; (2) Under the support of coal gangue, the concentrated stress in the coal seam significantly decreases, forming an arched shape according to the mining stages; (3) The range of plastic failure in the coal seam remains relatively stable under gangue backfill mining, with the plastic zone of the roof plate exhibiting a strip-like distribution; (4) Both range analysis and variance analysis revealed that the sensitivity ranking is backfill collapse ratio > mining height > elastic modulus. …”

FLAC3D code. by Lei Zhu (16642)

“…The results indicate that: (1) The manifestation of mining pressure in gangue backfill mining is influenced by factors such as mining height and backfill collapse ratio; (2) Under the support of coal gangue, the concentrated stress in the coal seam significantly decreases, forming an arched shape according to the mining stages; (3) The range of plastic failure in the coal seam remains relatively stable under gangue backfill mining, with the plastic zone of the roof plate exhibiting a strip-like distribution; (4) Both range analysis and variance analysis revealed that the sensitivity ranking is backfill collapse ratio > mining height > elastic modulus. …”

Establishment of Numerical Model. by Lei Zhu (16642)

“…The results indicate that: (1) The manifestation of mining pressure in gangue backfill mining is influenced by factors such as mining height and backfill collapse ratio; (2) Under the support of coal gangue, the concentrated stress in the coal seam significantly decreases, forming an arched shape according to the mining stages; (3) The range of plastic failure in the coal seam remains relatively stable under gangue backfill mining, with the plastic zone of the roof plate exhibiting a strip-like distribution; (4) Both range analysis and variance analysis revealed that the sensitivity ranking is backfill collapse ratio > mining height > elastic modulus. …”

Photomicrographs of H&E-stained cerebellum sections from control and different pregnant mothers: control (A & B) and BM (C & D) groups, showing normal histological structure of the... by Amoura M. Abou-El-Naga (21001524)

Data Sheet 1_Host identity, more than elevation, shapes bee microbiomes along a tropical elevation gradient.pdf by Andrea Pinos (22268176)

Data Sheet 1_Crop rotation complexity affects soil properties shaping antibiotic resistance gene types and resistance mechanisms.docx by Rong Hu (153724)

Enhanced Cell Proliferation and Maturation Using Carboxylated Bacterial Nanocellulose Scaffolds for 3D Cell Culture by Elizabeth Mavil-Guerrero (20833989)

“…Furthermore, the BNC–COOH hydrogel facilitates the maturation of 3T3-L1 preadipocytes into mature adipocytes, inducing typical morphology changes, such as decreased filopodia extensions, rounded cell shape, and lipid droplet accumulation without any additional chemical induction stimulus. …”

Enhanced Cell Proliferation and Maturation Using Carboxylated Bacterial Nanocellulose Scaffolds for 3D Cell Culture by Elizabeth Mavil-Guerrero (20833989)

“…Furthermore, the BNC–COOH hydrogel facilitates the maturation of 3T3-L1 preadipocytes into mature adipocytes, inducing typical morphology changes, such as decreased filopodia extensions, rounded cell shape, and lipid droplet accumulation without any additional chemical induction stimulus. …”

Enhanced Cell Proliferation and Maturation Using Carboxylated Bacterial Nanocellulose Scaffolds for 3D Cell Culture by Elizabeth Mavil-Guerrero (20833989)

“…Furthermore, the BNC–COOH hydrogel facilitates the maturation of 3T3-L1 preadipocytes into mature adipocytes, inducing typical morphology changes, such as decreased filopodia extensions, rounded cell shape, and lipid droplet accumulation without any additional chemical induction stimulus. …”

Sociodemographic Characteristics of Sample 2. by Aistė Ambrasė (22505574)

“…We also found that the mean agreement with the IB-DE subscale decreased after the pandemic. In a separate third sample (N_S3 = 39, 19 women, M_age = 23.72), we observed an inverse U-shape relationship between moral behavior related to quarantine requirements and the IH-DE subscale, as measured during the peak pandemic restrictions in late 2020. …”

English and German versions of OUS. by Aistė Ambrasė (22505574)

“…We also found that the mean agreement with the IB-DE subscale decreased after the pandemic. In a separate third sample (N_S3 = 39, 19 women, M_age = 23.72), we observed an inverse U-shape relationship between moral behavior related to quarantine requirements and the IH-DE subscale, as measured during the peak pandemic restrictions in late 2020. …”

Magnetic Fields Generated by Directed Ionic Flow by Lin Wang (11986)

“…Furthermore, it increases with the number of effective coils and decreases with larger conduit sizes, demonstrating the significant impact of conduit shape on the generated magnetic field. …”

Magnetic Fields Generated by Directed Ionic Flow by Lin Wang (11986)

“…Furthermore, it increases with the number of effective coils and decreases with larger conduit sizes, demonstrating the significant impact of conduit shape on the generated magnetic field. …”

<b>Seasonal Hydrology and Projected Landscape Changes Jointly Shape Future Water Quality in a Typical Watershed of the Three Gorges Reservoir Area</b> by Xiaojun Zhao (22390147)

Data Sheet 1_Diversity, functionality, and stability: shaping ecosystem multifunctionality in the successional sequences of alpine meadows and alpine steppes on the Qinghai-Tibet P... by Xin Jin (108988)

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. …”