Patient in chronic hemodialysis with right atrial mass: thrombus, fungal endocarditis or atrial myxoma? by Talita G. Salani (12731018)

The role of Cathepsin inhibitors in RGC damage in hypoxic retina. by Emi Nakajima (21703141)

“…<p>(A) The IC50 values of cathepsin inhibitors against cathepsins and calpains in vitro. …”

Image_2_Seizure-induced overexpression of NPY induces epileptic tolerance in a mouse model of spontaneous recurrent seizures.tiff by Meinrad Drexel (12501722)

“…The frequency of SRS declined after five to six weeks, indicating development of seizure tolerance. …”

Image_3_Seizure-induced overexpression of NPY induces epileptic tolerance in a mouse model of spontaneous recurrent seizures.TIFF by Meinrad Drexel (12501722)

“…The frequency of SRS declined after five to six weeks, indicating development of seizure tolerance. …”

Image_1_Seizure-induced overexpression of NPY induces epileptic tolerance in a mouse model of spontaneous recurrent seizures.tiff by Meinrad Drexel (12501722)

“…The frequency of SRS declined after five to six weeks, indicating development of seizure tolerance. …”

DataSheet1_Curcumin Ameliorates Cardiac Fibrosis by Regulating Macrophage-Fibroblast Crosstalk via IL18-P-SMAD2/3 Signaling Pathway Inhibition.DOCX by Jing Zhao (21160)

“…<p>Ethnopharmacological relevance: Curcumin is a bright yellow chemical produced by plants of the Curcuma longa species. …”

Data_Sheet_1_Prognostic Impact of Left Ventricular Ejection Fraction in Patients With Moderate Aortic Regurgitation: Potential Implications for Treatment Decision-Making.pdf by Qinghao Zhao (11182500)

“…Among patients with LVEF 35–55%, AVI within 6 months of diagnosis was associated with a reduced risk of death or HHF compared with medical treatment alone (adjusted HR: 0.15; 95% CI: 0.04–0.50; P = 0.002), whereas this benefit was markedly attenuated when LVEF was ≤35% (adjusted HR: 0.65; 95% CI: 0.21–1.97; P = 0.441, P-interaction = 0.010) or >55% (adjusted HR: 0.40; 95% CI: 0.14–1.15; P = 0.089, P-interaction = 0.723).…”

Data_Sheet_1_Outcomes of patients with acute respiratory failure on veno-venous extracorporeal membrane oxygenation requiring additional circulatory support by veno-venoarterial ex... by Rolf Erlebach (12614975)

“…</p>Conclusion<p>In this analysis, the use of V-VA ECMO in patients with ARDS and concomitant cardiocirculatory failure was associated with a hospital survival of about 50%, and most of these patients survived up to 2 years. …”

Dynamic changes of plasma extracellular vesicle long RNAs during perioperative period of colorectal cancer by Qing Hua (1795123)

“…Compared with T0, there were 110 differentially expressed genes (DEGs) in T1, 60 DEGs in T2, and 50 DEGs in T3. A total of 11 DEGs were found at all three time points and were related to membrane potential. …”

Fig 5 - by Jessica N. Sanchez (8856284)

“…<p>Model simulation results (medians, 25% and 75% quartiles) of canine distemper introduction to areas of San Clemente Island with high (A, C) or low (B, D) fox density and varying levels of fox vaccination (0%, 10%, 30%, or 50% of the population) distributed randomly or in a firewall. …”

Fig 4 - by Jessica N. Sanchez (8856284)

“…<p>Model simulation results (medians, 25% and 75% quartiles) of rabies introduction to areas of San Clemente Island with high (A, C) or low (B, D) fox density and varying levels of fox vaccination (0%, 10%, 30%, or 50% of the population) distributed randomly or in a firewall. …”

Supplementary data: Characterization of medical device randomized controlled trials with adaptive designs by Gui Su (128698)

“…However, their use in medical device RCTs remains unclear. We aimed to characterize medical device RCTs with adaptive designs. …”

Data_Sheet_1_Dynamic changes of fecal microbiota in a weight-change model of Bama minipigs.docx by Bo Zeng (428742)

“…The diversity and community structures of fecal microbiota (418 samples) was investigated by using 16S rRNA (V3-V4) high-throughput sequencing.</p>Results<p>During the weight gain period (1~27 week), the alpha diversity of fecal microbiota exhibited a “down-up-down” fluctuations, initially decreasing, recovering in the mid-term, and decreasing again in the later stage. …”

Image_3_Dynamic changes of fecal microbiota in a weight-change model of Bama minipigs.TIF by Bo Zeng (428742)

“…The diversity and community structures of fecal microbiota (418 samples) was investigated by using 16S rRNA (V3-V4) high-throughput sequencing.</p>Results<p>During the weight gain period (1~27 week), the alpha diversity of fecal microbiota exhibited a “down-up-down” fluctuations, initially decreasing, recovering in the mid-term, and decreasing again in the later stage. …”

Table_1_Dynamic changes of fecal microbiota in a weight-change model of Bama minipigs.XLSX by Bo Zeng (428742)

“…The diversity and community structures of fecal microbiota (418 samples) was investigated by using 16S rRNA (V3-V4) high-throughput sequencing.</p>Results<p>During the weight gain period (1~27 week), the alpha diversity of fecal microbiota exhibited a “down-up-down” fluctuations, initially decreasing, recovering in the mid-term, and decreasing again in the later stage. …”

Table_3_Dynamic changes of fecal microbiota in a weight-change model of Bama minipigs.XLSX by Bo Zeng (428742)

“…The diversity and community structures of fecal microbiota (418 samples) was investigated by using 16S rRNA (V3-V4) high-throughput sequencing.</p>Results<p>During the weight gain period (1~27 week), the alpha diversity of fecal microbiota exhibited a “down-up-down” fluctuations, initially decreasing, recovering in the mid-term, and decreasing again in the later stage. …”

Table_7_Dynamic changes of fecal microbiota in a weight-change model of Bama minipigs.XLSX by Bo Zeng (428742)

“…The diversity and community structures of fecal microbiota (418 samples) was investigated by using 16S rRNA (V3-V4) high-throughput sequencing.</p>Results<p>During the weight gain period (1~27 week), the alpha diversity of fecal microbiota exhibited a “down-up-down” fluctuations, initially decreasing, recovering in the mid-term, and decreasing again in the later stage. …”

Image_1_Dynamic changes of fecal microbiota in a weight-change model of Bama minipigs.TIF by Bo Zeng (428742)

“…The diversity and community structures of fecal microbiota (418 samples) was investigated by using 16S rRNA (V3-V4) high-throughput sequencing.</p>Results<p>During the weight gain period (1~27 week), the alpha diversity of fecal microbiota exhibited a “down-up-down” fluctuations, initially decreasing, recovering in the mid-term, and decreasing again in the later stage. …”

Table_2_Dynamic changes of fecal microbiota in a weight-change model of Bama minipigs.XLSX by Bo Zeng (428742)

“…The diversity and community structures of fecal microbiota (418 samples) was investigated by using 16S rRNA (V3-V4) high-throughput sequencing.</p>Results<p>During the weight gain period (1~27 week), the alpha diversity of fecal microbiota exhibited a “down-up-down” fluctuations, initially decreasing, recovering in the mid-term, and decreasing again in the later stage. …”

Table_4_Dynamic changes of fecal microbiota in a weight-change model of Bama minipigs.XLSX by Bo Zeng (428742)

“…The diversity and community structures of fecal microbiota (418 samples) was investigated by using 16S rRNA (V3-V4) high-throughput sequencing.</p>Results<p>During the weight gain period (1~27 week), the alpha diversity of fecal microbiota exhibited a “down-up-down” fluctuations, initially decreasing, recovering in the mid-term, and decreasing again in the later stage. …”