Table 1_Molecular, biofilm and motility characterization of Acinetobacter baumannii isolated from a neonatal intensive care unit at a children’s hospital in South China.xlsx by Zelin Yu (22500707)

“…Twitching motility was markedly reduced in ST1959 and also decreased after levofloxacin exposure.</p>Conclusion<p>This NICU outbreak was driven by CRAB ST195 harboring a conserved resistome. …”

Supplementary Material for: Hemispherotomy for Drug-Resistant Epilepsy in a Low-resource Setting: Surgical Outcomes and Quality of Life in 23 Children Treated in a Hybrid Program i... by figshare admin karger (2628495)

“…Conclusion: Hemispherotomy for DRE in select children is a safe and effective surgery in a public children’s hospital in a low-resource setting. …”

Shape rescue in the midface phenotype in the Dp(16)1Yey/ <i>Ripply3</i>^<i>tm1b</i> compound mutant. by José Tomás Ahumada Saavedra (22290934)

“…In light blue, the structures with no significant changes. On the left, the histogram of every point distance evaluated (in this case, more than 1.238.684 points) and the surface differences with the color code for the increase-decrease dimensions (Red to green).…”

Data Sheet 1_A circular tri-trophic system incorporating plants, fish, and insects turns waste into a resource: case study with the cultivation of cucumber.docx by Efi Levizou (21298322)

“…Conversely, CAP resulted in a decline in nutrient levels in irrigation water relative to HP and DCAP, which led to significantly decreased leaf concentrations of potassium and phosphorus (2.5 and 1.5 times lower than HP, respectively, by the end of the experiment). …”

Caffeine induces proteome-wide changes in a Rob-dependent manner. by Christoph Binsfeld (21763112)

“…The double-sided Fisher’s exact test p-value for enrichment of OMPs among significantly decreased proteins is shown. (D) Comparison of proteome changes between wild type and Δ<i>rob</i> upon caffeine treatment. …”

Cytokines produced by CD4+ T cells after <i>in vitro</i> restimulation with rTcj2 protein. by Leroy Versteeg (4248760)

Table 1_A national framework for transition to precision medicine.docx by Samaneh Karimi Esboei (20623664)

“…The statistical sample of the study comprised PM specialists, researchers, and patients whose PM plays a significant role in their diagnosis and treatment. …”

Metformin lotion is anti-inflammatory in serum following skin wounds. by Jianying Zhang (256508)

Assessing Quality of Referrals to a Community-Based Chronic Pain Clinic by Angela Mailis (19960223)

“…Half of the non-resubmitted referrals could have been accepted if the referring provider had sent in the missing information.</p> <p>A significant number of referrals to our pain clinic (primarily from PCPs) are rejected for mainly avoidable reasons. …”

Thermodynamic parameters. by Jianqing Jia (21001506)

“…<div><p>Frost heave is a most common form of tunnel defect in cold regions. …”

Valve luminal distance and opening time upon valve malformation. by Christian Meyer (6035)

Primers used for real-time qPCR. by Eloise Parry-Nweye (7548998)

“…The results show that the infectivity of aerosolized Phi6 in air decreased by ≥ 1 log₁₀ as the relative humidity (RH) increased from 25% to 75% but then increased by ≥ 1 log₁₀ as the RH further increased to 85%, resulting in a characteristic V-shape curve which varied with exposure time. …”

IDA flowchart. by Jun Zhao (59250)

“…This offers a scientific foundation for designing and constructing prefabricated shear walls.…”

Numerical simulation model. by Jianqing Jia (21001506)

“…<div><p>Frost heave is a most common form of tunnel defect in cold regions. …”

Reliability and failure probability. by Jianqing Jia (21001506)

“…<div><p>Frost heave is a most common form of tunnel defect in cold regions. …”

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. …”