Aetiology, clinical characteristics, and risk factors influencing mortality in patients with infective endocarditis: a retrospective study by Özkan Vural (21470515)

“…In-hospital mortality was 31.7%, and one-year mortality was 40.6%. A statistically significant difference in in-hospital mortality was found between combination therapy (23%) and medical therapy (40.8%). …”

Bioactive peptide PDBSN improves mitochondrial function and suppresses oxidative stress in human adipose cells by Huiping Shen (17361291)

“…Results show that PDBSN significantly increased MMP while decreasing TG and ROS levels. …”

Supplementary Material for: Serum Autotaxin Level Positively Associates with Metabolic Associated Fatty Liver Disease and Hyperuricemia in Postmenopausal Women by Zhang J. (2986470)

“…MAFLD patients showed significant metabolic disturbance presented with increased BMI, blood pressure (P＜0.001) and decreased HDL-C (P＜0.05), as well as liver injury companied by elevated ALT (P＜0.05). …”

Effect of HPC silencing on phase-locking of PFC neurons to local theta. by Susanne S. Babl (21169261)

“…Results are shown separately for spikes recorded in the stem (left) and goal arms (right) of the T-maze in outbound trajectories. dHPC silencing in the sample phase decreased the percentage of phase-locked neurons in the goal arms of the T-maze (Fisher’s exact test, <i>p</i> < 0.05). …”

Table 3_Comparative performance evaluation of large language models in answering esophageal cancer-related questions: a multi-model assessment study.xlsx by Zijie He (8194938)

“…Retesting showed improvements in overall quality, yet some responses showed decreased completeness and relevance.</p>Conclusion<p>Large language models have considerable potential in answering questions about esophageal cancer, with significant differences in completeness. …”

Table 2_Comparative performance evaluation of large language models in answering esophageal cancer-related questions: a multi-model assessment study.xlsx by Zijie He (8194938)

“…Retesting showed improvements in overall quality, yet some responses showed decreased completeness and relevance.</p>Conclusion<p>Large language models have considerable potential in answering questions about esophageal cancer, with significant differences in completeness. …”

Table 3_Rapid reshaping of the soil microbiome and metabolome during short-term flooding and draining in rice.xlsx by Yanyao Lu (22163632)

“…The TG subclass was consistently present in the lipid correlation networks across all comparison groups, with TG (15:0/18:1/18:1) exhibiting significant differences between the R4 and R1 groups. …”

Table 2_Rapid reshaping of the soil microbiome and metabolome during short-term flooding and draining in rice.xlsx by Yanyao Lu (22163632)

“…The TG subclass was consistently present in the lipid correlation networks across all comparison groups, with TG (15:0/18:1/18:1) exhibiting significant differences between the R4 and R1 groups. …”

Data Sheet 2_Rapid reshaping of the soil microbiome and metabolome during short-term flooding and draining in rice.docx by Yanyao Lu (22163632)

“…The TG subclass was consistently present in the lipid correlation networks across all comparison groups, with TG (15:0/18:1/18:1) exhibiting significant differences between the R4 and R1 groups. …”

Table 4_Rapid reshaping of the soil microbiome and metabolome during short-term flooding and draining in rice.xlsx by Yanyao Lu (22163632)

“…The TG subclass was consistently present in the lipid correlation networks across all comparison groups, with TG (15:0/18:1/18:1) exhibiting significant differences between the R4 and R1 groups. …”

Data Sheet 4_Rapid reshaping of the soil microbiome and metabolome during short-term flooding and draining in rice.docx by Yanyao Lu (22163632)

“…The TG subclass was consistently present in the lipid correlation networks across all comparison groups, with TG (15:0/18:1/18:1) exhibiting significant differences between the R4 and R1 groups. …”

Table 14_Rapid reshaping of the soil microbiome and metabolome during short-term flooding and draining in rice.xlsx by Yanyao Lu (22163632)

“…The TG subclass was consistently present in the lipid correlation networks across all comparison groups, with TG (15:0/18:1/18:1) exhibiting significant differences between the R4 and R1 groups. …”

Table 9_Rapid reshaping of the soil microbiome and metabolome during short-term flooding and draining in rice.docx by Yanyao Lu (22163632)

“…The TG subclass was consistently present in the lipid correlation networks across all comparison groups, with TG (15:0/18:1/18:1) exhibiting significant differences between the R4 and R1 groups. …”

Table 7_Rapid reshaping of the soil microbiome and metabolome during short-term flooding and draining in rice.xlsx by Yanyao Lu (22163632)

“…The TG subclass was consistently present in the lipid correlation networks across all comparison groups, with TG (15:0/18:1/18:1) exhibiting significant differences between the R4 and R1 groups. …”

Table 8_Rapid reshaping of the soil microbiome and metabolome during short-term flooding and draining in rice.xlsx by Yanyao Lu (22163632)

“…The TG subclass was consistently present in the lipid correlation networks across all comparison groups, with TG (15:0/18:1/18:1) exhibiting significant differences between the R4 and R1 groups. …”

Table 5_Rapid reshaping of the soil microbiome and metabolome during short-term flooding and draining in rice.xlsx by Yanyao Lu (22163632)

“…The TG subclass was consistently present in the lipid correlation networks across all comparison groups, with TG (15:0/18:1/18:1) exhibiting significant differences between the R4 and R1 groups. …”

Data Sheet 5_Rapid reshaping of the soil microbiome and metabolome during short-term flooding and draining in rice.docx by Yanyao Lu (22163632)

“…The TG subclass was consistently present in the lipid correlation networks across all comparison groups, with TG (15:0/18:1/18:1) exhibiting significant differences between the R4 and R1 groups. …”

Table 6_Rapid reshaping of the soil microbiome and metabolome during short-term flooding and draining in rice.xlsx by Yanyao Lu (22163632)

“…The TG subclass was consistently present in the lipid correlation networks across all comparison groups, with TG (15:0/18:1/18:1) exhibiting significant differences between the R4 and R1 groups. …”

Data Sheet 3_Rapid reshaping of the soil microbiome and metabolome during short-term flooding and draining in rice.docx by Yanyao Lu (22163632)

“…The TG subclass was consistently present in the lipid correlation networks across all comparison groups, with TG (15:0/18:1/18:1) exhibiting significant differences between the R4 and R1 groups. …”

Relative expression of hub genes. by Ziyang Liu (242055)

“…<p>qPCR results showed that the expression of EXT1 and FMOD was significantly upregulated in DKD mouse(p < 0.01), while SBSPON expression decreased (p < 0.05) and SPTB expression decreased significantly (p < 0.01).…”