The synthesis of graphene nanosheets from graphite oxide typically involves harmful chemical reductants that are undesirable for most practical applications of graphene. Here, we demonstrate a green and facile approach to the synthesis of graphene nanosheets based on Fe reduction of exfoliated graphite oxide, resulting in a substantial removal of oxygen functionalities of the graphite oxide. More interestingly, the resulting graphene nanosheets with residual Fe show a high adsorption capacity of 111.62 mg/g for methylene blue at room temperature, as well as easy magnetic separation from the solution. This approach offers a potential for cost-effective, environmentally friendly, and large-scale production of graphene nanosheets.
ObjectiveThe aim of this study was to develop a radiomics signature for prediction of progression-free survival (PFS) in lower-grade gliomas and to investigate the genetic background behind the radiomics signature.MethodsIn this retrospective study, training (n = 216) and validation (n = 84) cohorts were collected from the Chinese Glioma Genome Atlas and the Cancer Genome Atlas, respectively. For each patient, a total of 431 radiomics features were extracted from preoperative T2-weighted magnetic resonance images. A radiomics signature was generated in the training cohort, and its prognostic value was evaluated in both the training and validation cohorts. The genetic characteristics of the group with high-risk scores were identified by radiogenomic analysis, and a nomogram was established for prediction of PFS.ResultsThere was a significant association between the radiomics signature (including 9 screened radiomics features) and PFS, which was independent of other clinicopathologic factors in both the training (P < 0.001, multivariable Cox regression) and validation (P = 0.045, multivariable Cox regression) cohorts. Radiogenomic analysis revealed that the radiomics signature was associated with the immune response, programmed cell death, cell proliferation, and vasculature development. A nomogram established using the radiomics signature and clinicopathologic risk factors demonstrated high accuracy and good calibration for prediction of PFS in both the training (C-index, 0.684) and validation (C-index, 0.823) cohorts.ConclusionsPFS can be predicted non-invasively in patients with LGGs by a group of radiomics features that could reflect the biological processes of these tumors.
• EGFR expression status is an important biomarker for gliomas. • EGFR in lower grade gliomas could be predicted using radiogenomic analysis. • A logistic regression model is an efficient approach for analysing radiomic features.
Tens
of thousands of plastics produced by people have caused incalculable
harm to the environment. At the same time, the consumption of energy
is becoming more and more serious, and the use of fossil energy to
generate electricity has caused further damage to the environment.
It is a good way to recycle waste plastics and make energy collection
and generation devices based on them. Here, a triboelectric nanogenerator
(TENG) based entirely on waste plastic bags is proposed. Three types
of TENGs, PA-PVC-TENG, PA-PE-TENG, and PVC-PE-TENG, were fabricated
by selecting the most common PA, PVC, and PE plastic films as the
triboelectric layer. The output performance was improved by gilding
the back of the plastic films as a conductive electrode. Under different
conditions, three different types of TENGs were tested. The PA-PVC-TENG
was found to show the best output performance with an open-circuit
voltage of 35.7 V, a short-circuit current of 5.85 μA, and a
maximum output power density of 152.6 mW/m2. After further
integration with supercapacitors, the integrated system can drive
multiple commercial LEDs, and it can be used as an antitheft device
to achieve early warning. This study realizes the integration of a
TENG and energy storage devices, and as a TENG is based entirely on
waste plastic bags, it not only realizes the recycling of plastics
but also further realizes power generation, which can alleviate energy
consumption to some extent.
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