6 research outputs found
Structural Modification of Graphene Sheets to Create a Dense Network of Defect Sites
Pt/graphene
composites were synthesized by loading platinum nanoparticles
onto graphene and etched at 1000 °C in a hydrogen atmosphere.
This results in the formation of a dense array of nanostructured defect
sites in the graphene, including trenches, nanoribbons, islands, and
holes. These defect sites result in an increase in the number of unsaturated
carbon atoms and, consequently, enhance the interaction of the CO<sub>2</sub> molecules with the etched graphene. This leads to a high
capacity for storing CO<sub>2</sub>; 1 g of the etched samples can
store up to 76.3 cm<sup>3</sup> of CO<sub>2</sub> at 273 K under ambient
pressure
Two-step multivariate analysis of the prognostic factors for 948 patients.
*<p><i>P</i> values were made by Cox’s proportional hazards model.</p>†<p>Step 1, with consideration of all significantly important prognostic factors in univariate analysis, except for the r-pT category.</p>‡<p>Step 2, with consideration of all significantly important prognostic factors in univariate analysis, including the r-pT category.</p
Survival curves of patients with colorectal cancers according to the r-pT category.
<p><b>A,</b> Survival curves of patients grouped by pT categories when patients in pT3 and pT4a were stratified by sT categories. There were no significant differences between pT3/sT4b and pT4a/sT1-4a (P = 0.599), as well as pT4a/sT4b and pT4b (P = 0.351). <b>B,</b> Survival curves of patients stratified by r-pT category, there were significant differences among the patients.</p
Comparison of survival curves of the patients stratified by pT and sT category.
<p><b>A,</b> For patients in pT3 category, there was prognostic difference between sT4a and sT4b cancer (P<0.001). <b>B,</b> For patients in pT4a category, there was prognostic difference between sT4a and sT4b cancer (P = 0.001).</p
Comparison of survival curves among the patients according to the sT and pT category.
<p><b>A,</b> Survival curves of patients with different sT categories. <b>B,</b> Survival curves of patients with different pT categories.</p
Comparison and kappa statistics between the sT and pT categories patients.
<p>n<sup>a</sup>: Number of patients.</p