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Intracranial epidermoid cyst is a rare pseudotumor of the nervous system, accounting for 0.2%-1.8% of all intracranial tumors. It is usually located in the cerebellopontine Angle or parasellar area, with insipid onset, slow growth and usually less than 2 cm in diameter. Giant epidermoid cysts that invade the bone have rarely been reported in the literature. Herein, we report a case of giant ECs extradural to the parietal bone, penetrating the skull and continuing to expand outward. In addition, a systematic search of four authoritative databases was conducted to collect the relevant reports of giant epidermoid cyst with diameter > 5cm for the first time, and to discuss the clinical and radiographic features of patients with giant epidermoid cyst and the influence of treatment options.

Background Hepatocellular carcinoma (HCC) is a common malignant tumor worldwide. The present study was aimed to identify potential hub genes involved in the progression of HCC and investigate its clinical and prognostic significance. Method First, the dataset GSE76427 was used to construct a co-expression network. Weighted gene co-expression network analysis (WGCNA) was used to investigate the meaningful module. Then protein-protein interaction (PPI) network analysis and Gene Set Enrichment Analysis (GSEA) were applied to study hub genes correlated with the HCC progression. The hub gene expression and their prognostic correlation were further analyzed by a series of database. Paraffin-embedded HCC tissues obtained by biopsy from 225 patients were subjected to immunohistochemistry. Result Twelve co-expressed gene modules were identified using WGCNA. The pink module showed a higher correlation with overall survival years (r = 0.69, P = 0.02). Bioinformatics analysis show the real hub gene was PABPC1 and the PABPC1 mRNA expression was higher in HCC tissues compared with normal tissues. GSEA analysis indicated that PABPC1 expression was associated with P53 signaling pathway. High expression of PABPC1 was correlated with TNM stage (P = 0.004) and serum AFP (P = 0.001). High expression of PABPC1 was correlated with worse overall survival for HCC. Multivariate analysis showed that PABPC1 was an independent prognostic factor for HCC (HR = 4.137, 95%CI: 2.454–6.974, P = 0.001). Conclusion In general, PABPC1 may contribute to the progression of HCC. Moreover, PABPC1 has potential to be used as prognostic markers in HCC.

An ultra wideband low-profile antenna array based on tightly coupled effect is presented. The proposed antenna array consists of tightly coupled dipoles, the size of an element is $4\text{cm}\times 4\text{cm}\times 10\text{cm}$ . A compact balun of microstrip line gradual changing to parallel double-strip line at both sides is designed, providing unbalanced to balanced transformation and impedance transformation. With resistive frequency select surface, the proposed antenna achieves a wide operating bandwith of 0.5GHz∼11.5GHz with $\text{VSWR} . To avoid cutoff effect, extra no-feeding elements are added in each row of the array.

In order to deal with the limitations on the feature extraction of strong random signals in DC XLPE cables, this paper proposes a self-adaptive pattern recognition method based on convolutional neural network (CNN). Convolutional Architecture for Fast Feature Embedding (Caffe) has great performance on image recognition using CNN. Four typical insulation defects are designed and PD signals are collected for pattern recognition. Four different Caffe frameworks are constructed to analyze the impact of the network structures and solver parameters on training effect. Compared with Quick-CIFAR-IO and original Alexnet network, the modified Alexnet network proposed by this paper has great adaptability to pattern recognition of partial discharges in DC XLPE cables.

In this paper, the spiral water wall system of a 1000MW ultra supercritical tower boiler is simplified as a network system, consisting of circuits, pressure grids and connecting tubes. The establishment of the mathematical model for calculating the mass flux distribution and metal temperature in water wall is based on the mass, momentum and energy conservation equations. The water wall flow distribution and temperature profile of the boiler were computed. The result shows that the differences of outlet temperature and mass flux are small in spiral tube water wall at BMCR, 75%BMCR load and 40%BMCR load. The metal temperatures are all in the allowable ranger.

Geologic hazard caused by opencast mine slide often have great influence on construction and production of mine engineering, and slope distortion is the most obviously and directly reason bring on geologic hazard. In consideration of complexity of opencast uranic slope rock mass, real-time analysis on instability of slope by GPS sectionalized monitoring will be adopted in the novel, and regard the slope monitoring datum after data processing as an evidence of judging slope distortion trend and slide forecast so as to increase safety efficiency of Opencast slope.