Summary of miRNAs sequencing data quality. by Zhaowen Tan (12283502)

“…</p><p>Results</p><p>1) Hemodynamic tests revealed that the blood pressure of SHRs in the BFRT decreased significantly and that the blood pressure level of SHRs in the BFRT decreased more significantly than that of the simple resistance training groups did (P < 0.05). 2) Cardiac function tests revealed that the EF, FS, and MV E/A of SHRs in the BFRT significantly increased, whereas the HR, IVSd, IVSs, LVIDd, LIVDs, LVPWd, LVPWs and LV mass significantly decreased (P < 0.05). 3) Transcriptome sequencing revealed 9 differentially expressed miRNAs in the BFRT group compared with the SHR-SED group (2 miRNAs were significantly upregulated, and 7 miRNAs were significantly downregulated), with P < 0.05 and |log2FoldChange| ≥ 1 used as the criteria for differential significance. …”

The miRNA target genes. by Zhaowen Tan (12283502)

“…</p><p>Results</p><p>1) Hemodynamic tests revealed that the blood pressure of SHRs in the BFRT decreased significantly and that the blood pressure level of SHRs in the BFRT decreased more significantly than that of the simple resistance training groups did (P < 0.05). 2) Cardiac function tests revealed that the EF, FS, and MV E/A of SHRs in the BFRT significantly increased, whereas the HR, IVSd, IVSs, LVIDd, LIVDs, LVPWd, LVPWs and LV mass significantly decreased (P < 0.05). 3) Transcriptome sequencing revealed 9 differentially expressed miRNAs in the BFRT group compared with the SHR-SED group (2 miRNAs were significantly upregulated, and 7 miRNAs were significantly downregulated), with P < 0.05 and |log2FoldChange| ≥ 1 used as the criteria for differential significance. …”

The resistivity at a depth of 18cm at different time points under unsaturated conditions varies with depth. by Kui Suo (20614613)

Survival curves for different sex and age groups based on unadjusted (A) and adjusted (B) Cox model. by Hui Ouyang (245739)

Survival difference curves between female and male based on unadjusted (A) and adjusted (B) Cox model. by Hui Ouyang (245739)

Active organic carbon components before and after mineralization. by Jie Wei (264772)

Differential miRNA target gene pathway enrichment bubble map. by Zhaowen Tan (12283502)

Performance of different methods for controlling confounding in Felsenstein’s worst case. by Joshua G. Schraiber (8027060)

Treatment with vitamin D3 reduced the viability of cancer cell lines: <i>1A & 1B.</i> by Vidya G. Bettada (22208808)

“…Mouse EAC cells showed a decrease in cell viability starting from 250 µM at 24h of treatment. …”

Process of Ferrofluid Droplet Generation on a Functional Wedged Surface at θ = 20°, Q = 5 ml h^-‍1 and L = 10 mm. by Amirhossein Favakeh (21417884)

Impact of including phylogenetic eigenvectors on detection of coevolution of gene-expression levels in fungi. by Joshua G. Schraiber (8027060)

“…(B) The overall number of significant pairs decreases as more eigenvectors are included in the regression. …”

Population dynamics reflect intention-action binding. by Jean-Paul Noel (3072192)

Accuracy on the ERAM task. by Daisung Jang (16781451)

“…This suggests that in general having higher estrogen levels increases accuracy, but that higher-than-usual estrogen at a given time decreases it. Within-person estrogen further interacted with cycle phase for both tasks and showed a quadratic relationship with accuracy for the multimodal task. …”

Subgroup analysis of the therapeutic effects of negative pressure wound therapy versus conventional wound care for sternal wound infection. by Si He (3236646)

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Median EQ-5D-3L index values during 5 years of follow-up. by Karl Ingard (22582091)

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Subgroup Analysis of the Occurrence of Secondary Endpoints. by Karl Ingard (22582091)

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Pooled effect of the therapeutic effects of negative pressure wound therapy versus conventional wound care for sternal wound infection. by Si He (3236646)

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Study flow chart. by Karl Ingard (22582091)

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Kaplan-Meier curve of the primary outcome. by Karl Ingard (22582091)

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Number of Patients Who Reached the Primary and Secondary Endpoints During Follow-up. by Karl Ingard (22582091)

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