The aim of this study was to illuminate risks factors of residual lesions, and recurrence of the high-grade cervical intraepithelial lesions (HSIL) patients with positive margin who underwent cervical conization.A retrospective cohort study of 218 patients with positive margin after conization, including cold knife conization (CKC) and loop electrosurgical excisional procedure (LEEP), and follow-up from 2013 through 2016. The diagnosis of residual disease and recurrence were established and confirmed by biopsy. We evaluate the correlations among residual rate, recurrence rate, and clinical parameters, such as age, menopausal status, gravity, parity, glandular involvement, thinprep cytologic test (TCT), and human papillomavirus (HPV) results. We also detect the difference between CKC and LEEP.There was statistical difference between the positive margin rate of CKC group and LEEP regarding the surgery methods (5.8% and 12.09% separately, P < .001). Residual disease was found in 53.66% cases where 41 patients received second surgery after conization. Besides, age (P = .027), menopausal status (P = .006), and HPV infection (P = 0.018) were significantly associated with residual lesion. Among 177 cases with histopathologic follow-up, 15.91% women relapsed from 4 to 27 months. As for recurrence we found it was more frequent with HPV infection and glandular involvement (P < .001). TCT was also an independent factor in patients with recurrence of lesion. No evidence shows difference between CKC and LEEP for recurrence rate (P = .918).The factors related to rate of residual lesion were age, menopausal status, and HPV infection. HPV infection, TCT, and glandular involvement were associated with HSIL recurrence. LEEP was as effective as CKC with regard to recurrence rate. Further large-scale studies are needed to confirm our findings.

BackgroundIn recent years, the impact of Helicobacter pylori (H pylori) on the gut microbiota has attracted more attention; however, the relationship in pediatric population rarely was reported.MethodsEndoscopic gastric mucosal biopsy specimens from 55 children with gastrointestinal symptoms were collected, 37 of them were H pylori‐positive (23 nonpeptic ulcer and 14 peptic ulcer) and 18 were H pylori‐negative. In addition, 11 specimens were collected from H pylori‐positive children who performed second endoscopy in 4 weeks after therapy. Microbial abundance and compositions were analyzed by 16S ribosomal RNA amplification and microbial functions were predicted using the software PICRUSt.ResultsThe gastric microbiota of H pylori‐positive children were mainly dominated by Helicobacter in genus (95.43%). The microbiota richness and diversity of H pylori‐positive children were lower than that of H pylori‐negative children. No difference was found in microbiota structure between H pylori‐positive children with or without peptic ulcer. The richness and compositions after therapy were closer to the characteristics of H pylori‐negative children. For predicted functions, higher abundance in pathways of infection diseases, cancer and lower abundance in the pathways of amino acid, lipid, and carbohydrate metabolism were found in H pylori‐positive group than H pylori‐negative group.ConclusionThe characteristics of gastric microbiota were affected by H pylori infection rather than disease states, and the richness and diversity of gastric species were inverse correlation with H pylori infection in children. Eradication therapy was helpful to restore shifted gastric microbiota.

The susceptibility of composite materials to internal damage caused by low-velocity impact is well known and creates a major concern related to structural health monitoring. This research presents a near-field impact monitoring method based on the two-dimensional multiple signal classification method for the composite structure. Since elastic waves attenuate quickly in the complex aircraft composite structures and impacts may happen near the sensors, near-field impact monitoring method is important. However, most of the methods reported are based on the far-field assumption. When impacts occur not far enough from the sensors, this belongs to the near-field situation, where the elastic wave fronts are spherical and the direction estimation method with the plane wave hypothesis is no longer valid. Hence, this article focuses the research of a near-field multiple signal classification-based impact localization method. To verify the proposed method, two experiments are performed on composite structures. The localization results are in good agreement with the actual impact occurring positions in near-field area. Finally, the proposed method is applied to a real aircraft composite oil tank showing its successful performance on complex composite structure.

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These results suggest the necessity of screening H. pylori infection in HSP children, particularly in those with gastrointestinal manifestations in China. Eradication therapy may reduce the recurrence of HSP in children with H. pylori infection. However, further mechanistic and more clinical studies in different populations and regions are needed to confirm this association and the effect of eradication of H. pylori in HSP children.

Landslides are one of the major geohazards threatening human society. The objective of this study was to conduct a landslide hazard susceptibility assessment for Ruijin, Jiangxi, China, and to provide technical support to the local government for implementing disaster reduction and prevention measures. Machine learning approaches, e.g., random forests (RFs) and support vector machines (SVMs) were employed and multiple geo-environmental factors such as land cover, NDVI, landform, rainfall, lithology, and proximity to faults, roads, and rivers, etc., were utilized to achieve our purposes. For categorical factors, three processing approaches were proposed: simple numerical labeling (SNL), weight assignment (WA)-based and frequency ratio (FR)-based. Then 19 geo-environmental factors were respectively converted into raster to constitute three 19-band datasets, i.e., DS1, DS2, and DS3 from three different processes. Then, 155 observed landslides that occurred in the past decades were vectorized, among which 70% were randomly selected to compose a training set (TS1) and the remaining 30% to form a validation set (VS1). A number of non-landslide (no-risk) samples distributed in the whole study area were identified in low slope (<1–3°) zones such as urban areas and croplands, and also added to the TS1 and VS1 in the same ratio. For comparison, we used the FR approach to identify the no-risk samples in both flat and non-flat areas, and merged them into the field-observed landslides to constitute another pair of training and validation sets (TS2 and VS2) using the same ratio of 7:3. The RF algorithm was applied to model the probability of the landslide occurrence using DS1, DS2, and DS3 as predictive variables and TS1 and TS2 for training to obtain the SNL-based, WA-based, and FR-based RF models, respectively. Verified against VS1 and VS2, the three models have similar overall accuracy (OA) and Kappa coefficient (KC), which are 89.61%, 91.47%, and 94.54%, and 0.7926, 0.8299, and 0.8908, respectively. All of them are much better than the three models obtained by SVM algorithm with OA of 81.79%, 82.86%, and 83%, and KC of 0.6337, 0.655, and 0.660. New case verification with the recent 26 landslide events of 2017–2020 revealed that the landslide susceptibility map from WA-based RF modeling was able to properly identify the high and very high susceptibility zones where 23 new landslides had occurred, and performed better than the SNL-based and FR-based RF modeling, though the latter has a slightly higher OA and KC. Hence, we concluded that all three RF models achieve reasonable risk prediction, but WA-based and FR-based RF modeling deserves a recommendation for application elsewhere. The results of this study may serve as reference for the local authorities in prevention and early warning of landslide hazards.

Intrauterine asphyxia often results in neonatal loss or mental retardation. Brain-derived neurotrophic factor (BDNF) has been shown to be a protective agent against hypoxic damage to neurons. To understand the signaling mechanism underling the neuroprotective function of BDNF and to find therapeutic interventions for intrauterine asphyxia, we utilized an immunofluorescent technique to measure the intracellular levels of tyrosine kinase B (TrkB), phosphorylated TrkB, and the mitogen-activated protein kinase (MAPK) in the rat embryonic cortical neurons cultured in hypoxic conditions with and without BDNF pretreatment. The results showed that the fluorescent intensity of TrkB and phosphorylated TrkB in the cytoplasm and the fluorescent intensity of MARK in both cytoplasma and nucleus of the neurons were significantly increased in the presence of BDNF. The results indicate that the neuroprotective function of BDNF against hypoxia-induced neurotoxicity requires the participation of TrkB and is transduced via the Ras-MAPK signaling pathway.