Carbon/carbon–silicon carbide (C/C-SiC) composites have been widely reported in aerospace and military projects for their mechanical properties and electromagnetic shielding characteristics. However, high production costs, a complex process, and poor electrical conductivity have prohibited the large-scale application of these excellent EMI shielding materials. Herein, in situ growth of the SiC nanofibers (SiCnf) on carbonized phenolic resin with the reinforcement of graphite fibers is proposed for a strategy to overcome this challenge. The laser-irradiated carbon fibers (LCFs) were filled into the phenolic resin and hot-pressing was conducted; thereafter, the C/C-SiC composites were obtained by high-temperature carbothermal reduction of the LCF/phenolic resin and the industrial silicon power. Because of the conductive network of the LCF, the dense carbon matrix and the decoration of nanoporous SiCnf, the as-prepared SiCnf grown on the LCF/carbonized phenolic resin (LCF/PC-SiC) composite exhibited an EMI shielding effectiveness of 27.86 dB in the X-band at room temperature. This work proposed a new strategy to efficiently fabricate C/C-SiC composites for electromagnetic shielding.

BackgroundThis study aimed to investigate risk factors and prognostic factors in patients with clear cell renal cell carcinoma (ccRCC) with bone metastasis (BM) and establish nomograms to provide a quantitative prediction of the risk of BM and survival probability.MethodsThe clinicopathological characteristics of patients with ccRCC between January 2010 and December 2015 were obtained from the Surveillance, Epidemiology and End Results (SEER) database. Independent factors for BM in ccRCC patients were identified using univariate and multivariate logistic regression analyses. Prognostic factors for predicting cancer-specific death were evaluated using univariate and multivariate analyses based on a competing risk regression model. We then constructed a diagnostic nomogram and a prognostic nomogram. The two nomograms were evaluated using calibration curves, receiver operating characteristic curves, and decision curve analysis.ResultsOur study included 34,659 patients diagnosed with ccRCC in the SEER database, with 1,415 patients who presented with bone metastasis. Risk factors for BM in patients with ccRCC included age, stage T, stage N, brain metastasis, liver metastasis, lung metastasis, tumor size, and laterality. Independent prognostic factors for patients with ccRCC patients with BM were Fuhrman grade, tumor size, T stage, N stage, brain metastases, lung metastasis, and surgery. For the diagnostic nomogram, the area under the curve values in the training and testing cohorts were 0.863 (95% CI, 0.851–0.875) and 0.859 (95% CI, 0.839–0.878), respectively. In the prognostic cohort, the area under the curve values for 1-, 2-, and 3-year cancer-specific survival rates in the training cohort were 0.747, 0.774, and 0.780, respectively, and 0.671, 0.706, and 0.696, respectively, in the testing cohort. Through calibration curves and decision curve analyses, the nomograms displayed excellent performance.ConclusionsSeveral factors related to the development and prognosis of BM in patients with ccRCC were identified. The nomograms constructed in this study are expected to become effective and precise tools for clinicians to improve cancer management.

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