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The data rate of airborne radar is much higher than the wireless data transfer rate in many detection applications, so the onboard data storage systems are usually used to store the radar data. Data storage systems with good seismic performance usually use NAND Flash as storage medium, and there is a widespread problem of long file management time, which seriously affects the data storage speed, especially under the limitation of platform miniaturization. To solve this problem, a data storage method based on machine learning is proposed for mini-airborne radar. The storage training model is established based on machine learning, and could process various kinds of radar data. The file management methods are classified and determined using the model, and then are applied to the storage of radar data. To verify the performance of the proposed method, a test was carried out on the data storage system of a mini-airborne radar. The experimental results show that the method based on machine learning can form various data storage methods adapted to different data rates and application scenarios. The ratio of the file management time to the actual data writing time is extremely low.

Ruiqi Xu,1,2 Mengnan Zeng,1,2 Yuanyuan Wu,1,2 Shengchao Wang,1,2 Beibei Zhang,1,2 Jingke Zhang,1,2 Yuxuan Kan,1,2 Benke Li,1,2 Bing Cao,1,2 Xiaoke Zheng,1,2 Weisheng Feng1,2 1School of Pharmacy, Henan University of Traditional Chinese Medicine, Zhengzhou, People’s Republic of China; 2The Engineering and Technology Center for Chinese Medicine Development of Henan Province, Zhengzhou, People’s Republic of ChinaCorrespondence: Xiaoke Zheng; Weisheng FengSchool of Pharmacy, Henan University of Traditional Chinese Medicine, 156 Jinshui East Road, Zhengzhou, 450046, People’s Republic of ChinaTel +86-371-6019-0296Email zhengxk.2006@163.com; fwsh@hactcm.edu.cnPurpose: This research aims to investigate the intervention and mechanism of 50% acetone extract of C. officinalis leaves (SZYY) on melanoma xenografts.Patients and Methods: Tumor size and cardiac function were measured via ultrasound. The accumulation of 2-deoxy-D-glucose (2-DG) in tumor tissue was examined with near-infrared in vivo imaging. Flow cytometry was performed to assess apoptosis and reactive oxygen species (ROS) levels in tumor and immune cells in spleen. The levels of inflammatory cytokines in serum were detected by cytometric bead array. The expression of proliferation-, apoptosis-, and angiogenesis-related proteins in tumor cells was measured to evaluate the underlying mechanisms. Subsequently, the effects of four compounds separated from SZYY on the proliferation and migration of A375 cells and STAT3 signaling were examined. The peak identification and contents of the four components were performed via high-performance liquid chromatography (HPLC). Finally, we evaluated the inhibitory effects of STAT3 overexpression on the cytotoxic activity of four constituents in A375 cells.Results: SZYY inhibited the growth and glycolysis of melanoma xenograft in mice, improved cardiac function, increased the percentages of macrophages, neutrophils, and lymphocytes in spleen, reduced th

In this paper, we address the problem of direction-of-arrival (DOA) estimation with the arbitrary array. The manifold separation technique (MST) is employed to transform the arbitrary array into a virtual array with Vandermonde manifold on which the spatial annihilating filter reconstruction method can be applied. When building the optimization problem for annihilating filter reconstruction, we propose the general solution modeling which can reduce the truncation error in MST to a negligible level. Finally, the spatial annihilating filter is reconstructed under the structural total least square (STLS) framework with the multiple measurement vectors structural total least norm (MMV-STLN) approach and the DOAs are estimated from the filter coefficients. Numerical simulations have verified the new proposed method adapts well to the low signal-to-noise ratio (SNR), limited snapshots and closely-spaced sources scenarios and can handle the coherent signals.