visualization.mp4

The video was captured by the birefringence imaging system illustrated in Figure 1 and recorded the flow dynamics and laser-induced alignment of the graphene suspension in NMP under the illumination of a horizontally polarized laser (continuous-wave, CW) at 532 n

<i>In Situ</i> Observation of Electron-Beam-Induced NaH Decomposition in Graphene Nanoreactors by Transmission Electron Microscopy

Sodium hydride (NaH) was unprecedently embedded inside graphene nanobubbles via the discovered reaction between NaH and CO. With the graphene nanobubble as a nanoreactor for NaH, we directly observed the electron-beam-induced decomposition process of graphene-covered NaH by in situ high-resolution transmission electron microscopy with energy dispersive spectrometry and electron energy loss spectroscopy, revealing its decomposition mechanism. This can provide guidance for the design of hydrogen storage materials

<i>In Situ</i> Observation of Electron-Beam-Induced NaH Decomposition in Graphene Nanoreactors by Transmission Electron Microscopy

Sodium hydride (NaH) was unprecedently embedded inside graphene nanobubbles via the discovered reaction between NaH and CO. With the graphene nanobubble as a nanoreactor for NaH, we directly observed the electron-beam-induced decomposition process of graphene-covered NaH by in situ high-resolution transmission electron microscopy with energy dispersive spectrometry and electron energy loss spectroscopy, revealing its decomposition mechanism. This can provide guidance for the design of hydrogen storage materials

Forest plot of pooled OR with 95% CI for association between the null genotype of <i>GSTT1</i> and endometriosis risk.

<p>Forest plot of pooled OR with 95% CI for association between the null genotype of <i>GSTT1</i> and endometriosis risk.</p

Begg’s funnel plot for publication bias in selection of studies regarding the <i>GSTT1</i> polymorphism.

<p>Begg’s funnel plot for publication bias in selection of studies regarding the <i>GSTT1</i> polymorphism.</p

Meta-analysis of associations between <i>GSTM1</i>, <i>GSTT1,</i> and <i>GSTM1-GSTT1</i> polymorphisms and endometriosis.

<p>Abbreviations: OR, odds ratio; CI, confidence interval; BS, based on score (studies with quality scores <7 were excluded); PB, population-based; HB, hospital-based; F, fixed-effects model; R, random-effects model.</p><p>Meta-analysis of associations between <i>GSTM1</i>, <i>GSTT1,</i> and <i>GSTM1-GSTT1</i> polymorphisms and endometriosis.</p

Forest plot of pooled OR with 95% CI for association between the null genotype of <i>GSTM1</i> and endometriosis risk.

<p>Forest plot of pooled OR with 95% CI for association between the null genotype of <i>GSTM1</i> and endometriosis risk.</p

Characteristics of studies included in the meta-analysis.

<p>Abbreviations: PB, population-based; HB, hospital-based.</p><p>Characteristics of studies included in the meta-analysis.</p

Flow diagram of the study selection process.

<p>CBM: Chinese Biomedical; CNKI: China National Knowledge Infrastructure.</p

Null Genotypes of <i>GSTM1</i> and <i>GSTT1</i> and Endometriosis Risk: A Meta-Analysis of 25 Case-Control Studies

<div><p>Endometriosis is one of the most frequent benign gynecological disorders. Numerous studies have shown an association between <i>GSTM1</i> and/or <i>GSTT1</i> polymorphisms and endometriosis susceptibility. However, these associations remain inconclusive. To derive a more precise estimation, we conducted a comprehensive search to identify all existing studies and then performed a meta-analysis. Electronic literature searches of the PubMed, Chinese Biomedical, and China National Knowledge Infrastructure databases were performed up to December 2013. <i>GSTM1-</i>, <i>GSTT1-</i>, and dual-null genotypes were analyzed independently, and pooled odds ratios (ORs) with 95% confidence intervals (95% CIs) were calculated by comparing the null genotype with other genotypes using the random-effects or fixed-effects model. Twenty-five and 16 independent studies on <i>GSTM1</i> and <i>GSTT1</i> polymorphisms, respectively, and five <i>GSTM1-GSTT1</i> interaction analyses were identified and included in this meta-analysis. Both <i>GSTM1-</i> and <i>GSTT1-</i>null genotypes increased risk of endometriosis (OR = 1.54, 95% CI: 1.30–1.83, <i>P</i><0.001; OR = 1.41, 95% CI: 1.10–1.82, <i>P</i> = 0.007; respectively). Moreover, we found a significant positive association between the dual null genotype <i>GSTM1-GSTT1</i> and endometriosis susceptibility (OR = 1.33, 95% CI: 1.03–1.72, <i>P</i> = 0.027). This meta-analysis provides evidence that null genotypes of <i>GSTM1</i> and/or <i>GSTT1</i> contribute to risk of endometriosis. Further investigations are required to confirm these findings.</p></div