16 research outputs found
Kaplan-Meier Curves estimates of patients freedom from AF after BRAF.
<p>(A) Freedom from AF after BRFA in overall patients. (B) Freedom from AF after BRAF in patients with and without late AF recurrence (Log rank <i>p</i> test = 0.000). AF: atrial fibrillation; BRFA: bipolar radiofrequency ablation; LRAD: late recurrence of AF.</p
Comparison of NYHA class changes in patients with and without LRAF.
<p>Decrease in NYHA class after BRFA were significantly greater in patient without LRAF (<i>p</i> = 0.006). BRFA: bipolar radiofrequency ablation; LRAF: late recurrence of AF; NYHA: New York Heart Association.</p
Multivariate analysis the relating risk factors for late AF recurrence.
<p>Multivariate analysis the relating risk factors for late AF recurrence.</p
Changes in echocardiographic parameters and NYHA class between preoperation and late postoperatively.
<p>Changes in echocardiographic parameters and NYHA class between preoperation and late postoperatively.</p
Univariate analysis the relating risk factors for late AF recurrence.
<p>Univariate analysis the relating risk factors for late AF recurrence.</p
<i>In Situ</i> Fabrication of Porous Graphene Electrodes for High-Performance Energy Storage
In the development of energy-storage devices, simultaneously achieving high power and large energy capacity at fast rate is still a great challenge. In this paper, the synergistic effect of structure and doping in the graphene is demonstrated for high-performance lithium storage with ulftrafast and long-cycling capabilities. By an <i>in situ</i> constructing strategy, hierarchically porous structure, highly conductive network, and heteroatom doping are ideally combined in one graphene electrode. Compared to pristine graphene, it is found that the degree of improvement with both structure and doping effects is much larger than the sum of that with only structure effect or doping effect. Benefitting from the synergistic effect of structure and doping, the novel electrodes can deliver a high-power density of 116 kW kg<sup>–1</sup> while the energy density remains as high as 322 Wh kg<sup>–1</sup> at 80 A g<sup>–1</sup> (only 10 s to full charge), which provides an electrochemical storage level with the power density of a supercapacitor and the energy density of a battery, bridging the gap between them. Furthermore, the optimized electrodes exhibit long-cycling capability with nearly no capacity loss for 3000 cycles and wide temperature features with high capacities ranging from −20 to 55 °C
Additional file 1 of Detecting very low allele fraction variants using targeted DNA sequencing and a novel molecular barcode-aware variant caller
The spreadsheet lists all unique heterozygous NA12878 variants in the N0015 target region. (XLSX 1136 kb
Self-Assembly of Graphene-Encapsulated Cu Composites for Nonenzymatic Glucose Sensing
Cu
has recently received great interest as a potential candidate for glucose sensing
to overcome the problems with noble metals. In this work, reduced
graphene oxide-encapsulated Cu nanoparticles (Cu@RGO) have been prepared
via an electrostatic self-assembly method. This core/shell composites
were found to be more stable than conventional Cu-decorated graphene
composites and bare copper nanoparticles in an air atmosphere because
the graphene shell can effectively protect the Cu nanoparticles from
oxidation. In addition, the obtained Cu@RGO composites also showed
an outstanding electrocatalytic activity toward glucose oxidation
with a wide linear detection range of 1 μM to 2 mM, low detection
limit of 0.34 μM (S/N = 3), and a sensitivity of 150 μA mM<sup>–1</sup> cm<sup>–2</sup>. Moreover, Cu@RGO composites exhibited a satisfactory reproducibility,
selectivity, and long effective performance. These excellent properties
indicated that Cu@RGO nanoparticles have great potential application
in glucose detection
MiRNAs Predict the Prognosis of Patients with Triple Negative Breast Cancer: A Meta-Analysis
<div><p>Purpose</p><p>miRNAs are stable and can be extracted from tissues, blood and other body fluid without degradation. miRNAs are abnormally expressed in the presence of a pathological status, including cancer. Therefore, miRNAs are ideal biomarkers for cancer diagnosis and prognosis. Patients with triple negative breast cancer (TNBC) suffer the worst prognosis, although great efforts have been made. Many studies have investigated the role of miRNAs in predicting the outcomes of TNBC patients for better adjustment of treatment. However, results were inconsistent. Thus, we performed a meta-analysis to summarize the published studies for conclusive results.</p><p>Methods</p><p>Eligible studies from different database were retrieved from the online databases, and we used STSTA 12.0 to analysis the prognostic role of miRNAs in triple negative breast cancer.</p><p>Results</p><p>Overall high miRNA expression indicated a worse survival with HR value of 1.78 (95% CI: 0.97–3.25). However, subtotal HRs of oncogenic miRNAs and tumor suppressive miRNAs were 2.73 (95% CI: 2.08–3.57; <i>P</i><0.001) and 0.44 (95% CI: 0.21–0.90; <i>P</i> = 0.024), respectively, and no heterogeneity was observed within the subgroups.</p><p>Conclusions</p><p>The miRNAs showed a slightly stronger prognostic value for disease-free survival, relapse-free survival and distant metastasis-free survival compared to the overall survival of TNBC patients. Circulating miRNAs could serve as potential biomarkers for the prognosis of TNBC patients and need further investigation.</p></div