The ultra-wideband (UWB) multi-input multi-output (MIMO) radar technique is playing a more and more important role in the application of through-wall detection because of its high resolution, lower antenna requirements, and efficient data capturing ability. This paper develops a novel UWB MIMO radar system using a stepped-frequency continuous-wave (SFCW) signal, which is designed to detect human targets behind the regular brick and concrete wall. In order to balance high range resolution and wall-penetration depth, a novel miniaturized Vivaldi antenna with desired bandwidth of 0.5–2.5 GHz was designed, simulated, manufactured, and successfully used in through-wall imaging. To suppress the artifacts in the focused image and reduce the computing complexity, the cross-correlation-based time domain back projection (CC-TDBP) algorithm was developed. In addition, a through-wall imaging model was established, based on which the effects of the wall on the refraction of electromagnetic (EM) waves and the reduction of velocity are compensated. Finally, different experiments were conducted for multiple stationary targets utilizing the designed radar system, and the improved BP-based algorithms are applied to focus the targets behind the wall more accurately. The reconstructed two-dimensional (2D) images illustrate that the designed MIMO radar system can successfully detect and image human targets in the air and behind the wall.
This article presents a comprehensive review of China's policy system for the management of natural hazard-induced disasters from 1949 to 2016 through a quantitative bibliometric analysis of 5472 policy documents on such disasters. It identifies four phases of China's evolving disaster management system, which focused on agriculture, economic development, government and professional capacity building, and disaster governance, respectively. Characteristics of policies and contributing factors of policy change in each of the four phases are discussed in depth. This article provides a quantitative foundation for understanding the dynamic policy change of the disaster management system in China with a particular emphasis on the governance capacity and may serve as a basis for exploring the potential pathways of transformation according to the Sendai Framework for Disaster Risk Reduction 2015-2030 and the Sustainable Development Goals.
BackgroundLysine-specific demethylase 1(LSD1) is implicated in the tumorigenesis and progression in various cancers. However, the expression of LSD1 in epithelial ovarian cancer and its clinical significance has not been examined in detail.MethodsImmunohistochemical was used to detect the expression of LSD1 in normal ovarian epithelial tissues, cystadenoma, borderline cystadenoma, and cystadenocarcinoma. Next, the correlations between expression of LSD1 and clinicopathological features was assessed in 96 species of serous cystadenocarcinoma and 36 species of mucinous cystadenocarcinoma.ResultsImmunohistochemical results showed that the expression of LSD1 was gradually increased from benign cystadenoma and borderline cystadenoma to cystadenocarcinoma. The positive ratio of LSD1 expression was 50% in normal ovarian epithelial tissues, 72% in serous cystadenoma, 73% in mucinous cystadenoma, 82% in borderline serous cystadenoma, 83% in borderline mucinous cystadenoma, 94% in serous cystadenocarcinoma and 92% in mucinous cystadenocarcinoma, respectively. LSD1 expression levels were associated with International Federation of Gynecology and Obstetrics stage and lymphatic metastasis in both serous and mucinous cystadenocarcinoma samples. Kaplan-Meier curves suggested that overall survival time of patients with high LSD1 expression was significantly shorter than that of patients with low LSD1 expression. Multivariate Cox proportional hazard regression indicated that higher LSD1 expression was a significant independent predictor of poor survival of EOC patients (P = 0.016).ConclusionsThese results suggest that LSD1 may be involved in carcinogenesis and progression with promising therapeutic potential for epithelial ovarian cancer.
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