Effect of hypoxia on hepatocyte injury in NAFLD model mice. by Meiyuan Tian (22311505)

“…(C) Analysis of hepatocyte ROS level in vivo. (D) Statistical results of cells with decreasing mitochondrial membrane potential (n = 3 per group). …”

Table 1_Effect of a mindfulness-based cognitive behavior therapy intervention on occupational burnout among school teachers.docx by Netra Raj Paudel (20610806)

“…No significant differences between the arms were found in the post-test mean levels of EE, DP, and PA. …”

Coherence of SCN metabolic pathways changes during development. by Martin Sládek (130663)

“…Examples of 24-hour profiles of compounds with gradually increasing <b>(F)</b> and decreasing <b>(G)</b> levels from E19 to P28. Embryonic age E19—blue, postnatal age P02—gray, P10—green, P20—yellow, and P28—red. …”

ChatGPT in CKD: Using Artificial Intelligence for Health Literacy by Oscar Yasser Pena Zapata (19959306)

“…The most notable simplification was in one question, where the readability score decreased from 11.8 to 5.2. A p-value of <0.05 indicated the results were statistically significant. …”

Image 1_Gut metagenomic features of frailty.tiff by Zharkyn Jarmukhanov (19743034)

“…Microbial diversity decreased significantly with increasing frailty. Beta diversity analysis revealed distinct clustering patterns based at phylum level. …”

Table 1_Gut metagenomic features of frailty.xlsx by Zharkyn Jarmukhanov (19743034)

“…Microbial diversity decreased significantly with increasing frailty. Beta diversity analysis revealed distinct clustering patterns based at phylum level. …”

Table 2_Gut metagenomic features of frailty.xlsx by Zharkyn Jarmukhanov (19743034)

“…Microbial diversity decreased significantly with increasing frailty. Beta diversity analysis revealed distinct clustering patterns based at phylum level. …”

Supplementary file 1_Spatial-temporal evolution characteristics and driving factors of carbon emission prediction in China-research on ARIMA-BP neural network algorithm.pdf by Sanglin Zhao (20915732)

“…The results show that: (1) From 2000 to 2035, China’s total carbon emissions increased year by year, but the growth rate of carbon emissions gradually decreased; The carbon emission structure is “secondary industry > residents’ life > tertiary industry > primary industry”, and the growth rate of carbon in secondary industry and residents’ life is faster, while the change trend of primary industry and tertiary industry is smaller; (2) The spatial distribution of carbon emissions in China’s provinces presents a typical pattern of “eastern > central > western” and “northern > southern”, and the carbon emission centers tend to move to the northwest; (3) The regions with high level of digital economy, advanced industrial structure and new quality productivity have relatively less carbon emissions, which has significant group difference effect; (4) The intensity effect of energy consumption is the main factor driving the continuous growth of carbon emissions, while the per capita GDP and the structure effect of energy consumption are the main factors restraining carbon emissions, while the effects of industrial structure and population size are relatively small. …”

Data Sheet 1_Effect of supplementation with L-Citrulline on rumen microbiota structure, plasma metabolites, reproductive hormones, and antioxidant capacity of Hu ewes.docx by Renping Liu (223710)

“…At the genus level, the relative abundance of Prevotellaceae_UCG-003 was significantly decreased. …”

Fig 4 - by Helene Dumont (19812720)

“…<p><b>a. Population-level averaged inversion and negation effects and Bayesian non-linear mixed model predictions as a function of Orientation filter</b>. …”

Image 4_Impact of DRG policy on the performance of tertiary hospital inpatient services in Chongqing, China: an interrupted time series study, 2020–2023.png by Yunyu Liu (11739052)

“…To evaluate both immediate and long-term effects of the DRG policy, we employed an interrupted time series analysis model to analyze changes in indicator levels and trends pre- and post-intervention.</p>Results<p>We found significant changes in the following indicators since the implementation of the DRG policy: case-mix index (CMI) level increased by 0.0661 (p = 0.02), but the trend decreased by 0.0071 (p < 0.001). …”

Image 1_Impact of DRG policy on the performance of tertiary hospital inpatient services in Chongqing, China: an interrupted time series study, 2020–2023.png by Yunyu Liu (11739052)

“…To evaluate both immediate and long-term effects of the DRG policy, we employed an interrupted time series analysis model to analyze changes in indicator levels and trends pre- and post-intervention.</p>Results<p>We found significant changes in the following indicators since the implementation of the DRG policy: case-mix index (CMI) level increased by 0.0661 (p = 0.02), but the trend decreased by 0.0071 (p < 0.001). …”

Image 2_Impact of DRG policy on the performance of tertiary hospital inpatient services in Chongqing, China: an interrupted time series study, 2020–2023.png by Yunyu Liu (11739052)

“…To evaluate both immediate and long-term effects of the DRG policy, we employed an interrupted time series analysis model to analyze changes in indicator levels and trends pre- and post-intervention.</p>Results<p>We found significant changes in the following indicators since the implementation of the DRG policy: case-mix index (CMI) level increased by 0.0661 (p = 0.02), but the trend decreased by 0.0071 (p < 0.001). …”

Image 3_Impact of DRG policy on the performance of tertiary hospital inpatient services in Chongqing, China: an interrupted time series study, 2020–2023.png by Yunyu Liu (11739052)

“…To evaluate both immediate and long-term effects of the DRG policy, we employed an interrupted time series analysis model to analyze changes in indicator levels and trends pre- and post-intervention.</p>Results<p>We found significant changes in the following indicators since the implementation of the DRG policy: case-mix index (CMI) level increased by 0.0661 (p = 0.02), but the trend decreased by 0.0071 (p < 0.001). …”

<b>Identification and Validation of LOXL2 as a Prognostic Biomarker and Therapeutic Target in Lung Adenocarcinoma through Multi-Omics and Functional Analysis</b> by Ge Qiao (21802511)

“…</p><p dir="ltr"><b>Key findings:</b> LOXL2 has been identified as a significant prognostic biomarker in LUAD, with high expression levels correlating with poor overall survival. …”

Data Sheet 1_Analyzing patterns of change in the orchid flora of Britain and Ireland with correlated environmental variability.pdf by Martha Charitonidou (798109)

“…</p>Results<p>Analysing a subset of 51 species in Great Britain, 13 show significant (at the 5% level) trends in occupancy, five positive and eight negative. …”

Correlation analyses between studied genes. by Marwa A. Ali (11973086)

“…</p><p>Results</p><p>Our results showed statistical significance with lower levels of (<i>NEAT-1</i>) [ median (range) = 0.08 (0.001-0.602)], and (<i>miR374b-5p</i>) [ median (range) = 0.14 (.01-7.16)] while higher <i>IL-6</i> levels [ median (range) = 41.3 (7.2-654) pg/ml] when compared to controls with p-value <0.001. …”

Primers used in q-PCR. by Marwa A. Ali (11973086)

“…</p><p>Results</p><p>Our results showed statistical significance with lower levels of (<i>NEAT-1</i>) [ median (range) = 0.08 (0.001-0.602)], and (<i>miR374b-5p</i>) [ median (range) = 0.14 (.01-7.16)] while higher <i>IL-6</i> levels [ median (range) = 41.3 (7.2-654) pg/ml] when compared to controls with p-value <0.001. …”

Table 4_ESG performance and carbon emission intensity: examining the role of climate policy uncertainty and the digital economy in China’s dual-carbon era.xlsx by Shiyu Li (144475)

“…The analysis reveals that ESG performance significantly alleviates CEI. In addition, CPU weakens the efficiency of ESG initiatives in decreasing CEI due to regulatory unpredictability, while the digital economy’s expansion, although innovative, may exacerbate CEI in regions dependent on fossil fuels. …”

Table 6_ESG performance and carbon emission intensity: examining the role of climate policy uncertainty and the digital economy in China’s dual-carbon era.xlsx by Shiyu Li (144475)

“…The analysis reveals that ESG performance significantly alleviates CEI. In addition, CPU weakens the efficiency of ESG initiatives in decreasing CEI due to regulatory unpredictability, while the digital economy’s expansion, although innovative, may exacerbate CEI in regions dependent on fossil fuels. …”