With the improvement of image resolution in synthetic aperture radars (SARs), sea clutter characteristics become more complex, which poses new challenges to traditional ship target detection missions. In this paper, to detect ship targets quickly and efficiently in a complex background, we propose an adaptive hierarchical detection method based on a coarse-to-fine mechanism. This method constructs a new visual attention mechanism to strengthen ship targets and obtain the candidate targets adaptively by the means dichotomy method. On this basis, the precise detection results of the targets are obtained using the speed block kernel density estimation method, which maintains constant false alarm characteristics. Compared with existing methods, the adaptive hierarchical detection method has simple, fast, and accurate characteristics. Experiments based on GF-III satellite and airborne SAR datasets are presented to demonstrate the effectiveness of the proposed method.

BackgroundGut microbiota plays an important role in the pathogenesis of immune-mediated diseases. However, the complex pathogenesis of Henoch-Schonlein Purpura (HSP) remains elusive. This study aimed to characterize the gut microbiota in HSP patients and explore the potential association between gut microbiota composition and phenotypic changes in HSP.Methods16SrRNA gene sequencing and bioinformatic analyses were performed using total DNA extracted from the fecal microbiota of 34 children with HSP, including 18 primary cases, 16 recurrent cases, and 23 healthy children.ResultsThe diversity indexes showed significant differences in the microbial community among the primary HSP groups, the recurrent HSP group and healthy controls. The abundance of Escherichia-Shigella in the recurrent HSP group was significantly higher than that in the primary HSP group, and the constructed ROC curve had an AUC value of 0.750. According to the Spearman correlation analysis, the abundance of Bacteroides was positively associated with the serum IgG level in children with HSP, while the abundance of Lachnoclostridium was negatively correlated with the complement component 3 (C3). The diversity indexes of gut microbiota in the HSP group with abdominal symptoms were higher than those in the HSP group without GI involvement, and also higher than those in the healthy control group. In the HSP group with GI involvement, the abundance of Faecalibacterium was decreased, while the abundance of Streptococcus and Fusobacteria was increased, compared to the HSP group without GI involvement.ConclusionsThe gut microbiota of children with HSP was different from that of healthy children. The genus Escherichia-Shigella has a diagnostic value for HSP recurrence. Bacteroides and Lachnoclostridium may affect IgG and complement C3 levels in children with HSP. Abdominal symptoms in HSP children were related to gut microbiota (Streptococcus and butyric acid-producing bacteria).

Background Kidney disease of children markedly affects their health and development. Limited clinical data of early‐stage kidney disease render a tremendous challenge for the accurate diagnosis. Trio whole‐exome sequencing (Trio‐WES) is emerging as a first‐line diagnostic strategy in pediatric kidney disease, and shows important implications for the precision medicine strategies of children with kidney disease. Methods Trio‐WES was performed in 133 Chinese children with kidney disease and their parents. The results for casual variants in genes known to cause kidney disease were analyzed. We further assessed the genetic diagnostic yield and the clinical implications of genetic testing. Results An overall diagnostic yield of 52.63% (70/133) was found, and the diagnostic rates ranged from 44.74% to 59.62% in different clinical phenotypes. The diagnostic yield of the three groups of simple proteinuria, renal insufficiency, and “other” was 50%, 50%, and 54.55%, respectively. Eight‐seven diagnostic variants were identified in 70 probands with variants spanning 30 genes. The top 7 genes with diagnostic variants were COL4A5 (23, 26.44%), COL4A4 (13, 14.94%), ADCK4 (7, 8.05%), CLCN5 (3, 3.45%), ACE (3, 3.45%), PKD1 (3, 3.45%), and SLC12A3 (3, 3.45%), accounting for 63.22% of all variations in the cohort. Conclusions The retrospective cohort study summarized the clinical utility of genetic testing in 133 probands, and expanded the phenotypic and genetic profiles of kidney disease in children. Trio‐WES is an efficient diagnostic tool for children with kidney disease, which facilitates the clinical diagnosis and treatment. Our findings have important implications for the precise diagnosis of childhood nephropathy and may provide clinical guideline for disease management.

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