Table 2_Rhodiola crenulata polysaccharide alleviates dextran sulfate sodium-induced ulcerative colitis in mice by repairing the intestinal barrier and regulating the intestinal mic... by Jia Lv (431990)

“…Importantly, RCP regulated the abundance of the intestinal microbiota by reducing the Firmicutes-to-Bacteroidetes ratio (F/B), increasing beneficial bacteria such as Muribaculaceae and Bifidobacterium, decreasing harmful bacteria including Erysipelotrichaceae, Faecalibaculum, Lachnospiraceae_unclassified, Parabacteroides, and Ruminiclostridium_9. …”

Table 1_Rhodiola crenulata polysaccharide alleviates dextran sulfate sodium-induced ulcerative colitis in mice by repairing the intestinal barrier and regulating the intestinal mic... by Jia Lv (431990)

“…Importantly, RCP regulated the abundance of the intestinal microbiota by reducing the Firmicutes-to-Bacteroidetes ratio (F/B), increasing beneficial bacteria such as Muribaculaceae and Bifidobacterium, decreasing harmful bacteria including Erysipelotrichaceae, Faecalibaculum, Lachnospiraceae_unclassified, Parabacteroides, and Ruminiclostridium_9. …”

Data Sheet 1_Application of machine learning based on habitat imaging and vision transformer to predict treatment response of locally advanced esophageal squamous cell carcinoma fo... by Shu-Han Xie (17902661)

“…Similarly, ExtraTrees showed good predictive capabilities in patients undergoing 2 cycles of nICT with AUC of 0.862 in validation cohort. This model also showed good calibration for prediction probability and satisfied clinical value on DCAs. …”

Image 2_Establishment and validation of survival nomogram score staging for esophageal squamous cell carcinoma patients after minimally invasive surgery combined with immune progno... by Shao-jun Xu (11633956)

“…To evaluate the predictive value and the clinical benefit rate of the nomogram, we employed the calibration curve, decision curve analysis (DCA), and time-dependent area under the curve (t-AUC). …”

Image 1_Establishment and validation of survival nomogram score staging for esophageal squamous cell carcinoma patients after minimally invasive surgery combined with immune progno... by Shao-jun Xu (11633956)

“…To evaluate the predictive value and the clinical benefit rate of the nomogram, we employed the calibration curve, decision curve analysis (DCA), and time-dependent area under the curve (t-AUC). …”

Image 4_Establishment and validation of survival nomogram score staging for esophageal squamous cell carcinoma patients after minimally invasive surgery combined with immune progno... by Shao-jun Xu (11633956)

“…To evaluate the predictive value and the clinical benefit rate of the nomogram, we employed the calibration curve, decision curve analysis (DCA), and time-dependent area under the curve (t-AUC). …”

Image 6_Establishment and validation of survival nomogram score staging for esophageal squamous cell carcinoma patients after minimally invasive surgery combined with immune progno... by Shao-jun Xu (11633956)

“…To evaluate the predictive value and the clinical benefit rate of the nomogram, we employed the calibration curve, decision curve analysis (DCA), and time-dependent area under the curve (t-AUC). …”

Image 3_Establishment and validation of survival nomogram score staging for esophageal squamous cell carcinoma patients after minimally invasive surgery combined with immune progno... by Shao-jun Xu (11633956)

“…To evaluate the predictive value and the clinical benefit rate of the nomogram, we employed the calibration curve, decision curve analysis (DCA), and time-dependent area under the curve (t-AUC). …”

Image 5_Establishment and validation of survival nomogram score staging for esophageal squamous cell carcinoma patients after minimally invasive surgery combined with immune progno... by Shao-jun Xu (11633956)

“…To evaluate the predictive value and the clinical benefit rate of the nomogram, we employed the calibration curve, decision curve analysis (DCA), and time-dependent area under the curve (t-AUC). …”

DataSheet1_Early B lymphocyte subsets in blood predict prognosis in sepsis.docx by Yingqian Sun (7843838)

“…Receiver operating characteristic curve analysis showed that B cell subset parameters could predict mortality (area under the receiver operating characteristic curve [AUC], 0.741) and enhanced the prognostic value of the Acute Physiology and Chronic Health Evaluation II score (AUC, 0.840).…”

DataSheet1_Profiling of the serum MiRNAome in pediatric egyptian patients with wilms tumor.PDF by Fatma S. Mohamed (19850220)

“…The ROC curve analysis revealed that multiple dysregulated miRNAs in WT, specifically hsa-miR-7-5p, hsa-miR-146a-5p, hsa-miR-378a-3p, and hsa-miR-483-5p, exhibited high diagnostic potential for WT, with AUC values exceeding 0.86. Among WT histopathology types, the hsa-miR-1180-3p showed a 2.3 log2fold difference in expression between UnFH-WTs and FH-WTs, indicating its potential as a biomarker with 92% sensitivity and 85% specificity for identifying UnFH-WTs. …”

Transcriptomic analysis of AMPK and HZL-1 mutants reveals widespread gene expression differences predominantly in the germ line. by Sabih Rashid (5618807)

“…GO enrichment was conducted using the Wormbase Gene Set Enrichment Analysis [<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003144#pbio.3003144.ref046" target="_blank">46</a>,<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003144#pbio.3003144.ref047" target="_blank">47</a>]. <b>C)</b> (Top) Venn diagram comparing genes with decreased expression in <i><i>hzl-1; aak(0)</i></i> dauer vs. …”

Table_1_Reduced serum neurotrophic factors and monoamine neurotransmitters in epilepsy patients with comorbid depression.DOCX by Shulei Sun (354595)

“…</p>Conclusion<p>The findings suggest the involvement of NTFs, monoamine neurotransmitters, and inflammatory processes in the pathogenesis of epilepsy and depression. Decreased serum BDNF levels correlate with epilepsy but not necessarily with comorbid depression, while serum GDNF and 5-HT show potential clinical value in diagnosing this comorbidity. …”

Image 1_Bilateral dorsolateral prefrontal cortex high-frequency transcranial magnetic stimulation for consciousness recovery after traumatic brain injury: a case series.tif by Chun-Hung Chang (760118)

“…SPECT revealed reduced hypoperfusion in the bilateral frontal lobes, decreasing from 51% to 40% in Patient A and from 33% to 30% in Patient B. …”

Protocol for our RNA-seq. by Sabih Rashid (5618807)

“…<p><b>A)</b> Protocol of RNA-seq methodology. Animals of the indicated genotypes were grown in large quantities at 25 °C until reaching day 2 of the dauer stage, and were either harvested for the dauer sample, or allowed to grow at 15 °C for another 4 days before harvesting for post-dauer samples. …”

Supplementary file 1_Multiparametric analysis in the peripheral blood of Giant Cell Arteritis and Polymyalgia Rheumatica patients at the early phases of steroid treatment reveals c... by Dimitris Anastasios Palamidas (21482279)

“…</p>Results<p>Total CD8+ T cells and DCs were decreased within 48–96 hours, following steroid treatment, while B-cells were increased at 48 hours. …”

Data Sheet 1_Glucocorticoid boluses followed by tocilizumab in giant cell arteritis patients: effects on peripheral blood monocytes and lymphocytes.docx by Cecilia Catellani (12903956)

“…</p>Results<p>GC boluses increased the percentages of B lymphocytes and classical monocytes while decreased those of CD4+ T lymphocytes and intermediate and non-classical monocytes. …”

S2 Fig - Sound feature representations decorrelate across the mouse auditory pathway by Etienne Gosselin (22493303)

“…(<b>H–J</b>). For identity, the result is expected as complex sounds include a large amount of temporal information. …”

Acoustics of breath noises in human speech (Werner et al., 2024) by Raphael Werner (17350943)

“…An airstream was directed through these VT configurations in both directions, and their spectral consequences were analyzed.</p><p dir="ltr"><b>Results: </b>For human inhalations, we found spectra with a decreasing slope and several weak peaks below 3 kHz. …”

Clinical Connections KG version 20240501 by Jennifer Hadlock (20465732)

“…We use data from over 28 million Electronic Health Records (EHRs) to train a large collection of interpretable machine learning models which are integrated into a single large knowledge graph. …”