The microbiota continuum along the female reproductive tract and its relation to uterine-related diseases

Reports on bacteria detected in maternal fluids during pregnancy are typically associated with adverse consequences, and whether the female reproductive tract harbours distinct microbial communities beyond the vagina has been a matter of debate. Here we systematically sample the microbiota within the female reproductive tract in 110 women of reproductive age, and examine the nature of colonisation by 16S rRNA gene amplicon sequencing and cultivation. We find distinct microbial communities in cervical canal, uterus, fallopian tubes and peritoneal fluid, differing from that of the vagina. The results reflect a microbiota continuum along the female reproductive tract, indicative of a non-sterile environment. We also identify microbial taxa and potential functions that correlate with the menstrual cycle or are over-represented in subjects with adenomyosis or infertility due to endometriosis. The study provides insight into the nature of the vagino-uterine microbiome, and suggests that surveying the vaginal or cervical microbiota might be useful for detection of common diseases in the upper reproductive tract.Shenzhen Municipal Government of China [JCYJ20160229172757249, JCYJ20150601090833370]; Danish Strategic Research Council [2106-07-0021]; Ole Romer grant from Danish Natural Science Research Council; Solexa project [272-07-0196]SCI(E)ARTICLE

Embankment deformation characteristics analysis of an expressway widening project near a pond

Abstract New and old subgrade stability is a crucial problem for widening projects in soft soil foundations because uncoordinated deformations can cause serious engineering accidents, even disasters. In order to ensure the stability of a widening expressway project near a pond in the Qinbei section, a series of on-site investigations, lab tests, and numerical analyses was performed. The settlement and displacement of on-site monitoring were carried out during the construction period to verify the analyzed results. It was found that the uneven settlement caused heavy settlement and displacement of the embankment; thus, net cracks and longitudinal cracks occurred in the expressway. The new embankment was also affected by the weak foundation; therefore, the foundation should be reinforced before the construction of the widening part. Considering the economy and effectiveness of the widening project, the replacement method was recommended for the weak foundation reinforcement based on the numerical analysis and on-site motoring results. Water pumping had a significant effect on the settlement of the embankment. Water pumping caused seepage in the foundation and increased the effective stress of the soil, making the foundation more consolidated. The pond slope should be reinforced before the construction of the embankment because it was not confined by the surrounding soil. Therefore, the slope soil could not provide sufficient passive soil pressure and easily slide

A study on the evolution mechanism of agricultural landscape pattern of Dadu River Valley in Danba Region

Taking the Dadu River Basin in the Danba area of Ganzi Prefecture, Sichuan Province as the research area, based on the 2013 and 2016 Landsat8 remote sensing images, the temperature vegetation drought index (TVDI) method is used to divide the Dadu River dry valley into 6 arid gradient regions. Using ArcGIS10.5 software and Fragstats4.2 software to calculate the landscape pattern index of different arid gradient areas in different years, combined with the survey results of agricultural policies, development models, and agricultural landscape patterns in key regions, analyze the evolution of agricultural landscape patterns under different drought gradients. The results show that, except for other forestlands, the degree of landscape fragmentation is decreasing year by year on the gradient of light and moderate drought, and the degree of spatial heterogeneity is higher. On the gradient of extreme drought, the degree of landscape fragmentation is higher, and the degree of spatial heterogeneity is lower

Spatial Distribution Characteristics of Public Fitness Venues in the Main Urban Area of Dalian from the Perspective of Urban Accessibility

In the context of the Healthy China initiative, studying the spatial distribution characteristics of urban sports venues will benefit sports venue planning in cities and promote the health of urban residents. Therefore, considering the main urban area of Dalian City as the study area, in this study, we investigated the spatial distribution characteristics of fitness venues and their accessibility through spatial and buffer zone analyses using data of public fitness venues, school sports venues, and the traffic road network. The conclusion is as follows: (1) In Zhongshan, Xigang, and Shahekou Districts, public fitness venues are more densely distributed in non-coastal areas. (2) Within 0–15 min, Xigang District showed the highest ratio of the public fitness venue service area (24.42%), which was followed by Shahekou (19.02%), Zhongshan (17.13%), and Ganjingzi Districts (4.82%). (3) The number of sports venues increased from 272 to 1117 when school sports venues were considered. Due to this, the service area ratio of fitness venues in all districts was increased, and the ranking was also changed. After this, Shahekou District had the highest ratio of the sports and fitness venue service area (55.65%), which was followed by Xigang (48.43%), Zhongshan (35.68%), and Ganjingzi Districts (11.91%). Therefore, solutions to introduce more school sports venues should be investigated to ensure a uniform spatial distribution of urban fitness venues. This study provides a reference to plan and develop fitness venues in cities

On Retargeting the AI Programming Framework to New Hardwares

International audienceNowadays, a large number of accelerators are proposed to increase the performance of AI applications, making it a big challenge to enhance existing AI programming frameworks to support these new accelerators. In this paper, we select TensorFlow to demonstrate how to port the AI programming framework to new hardwares, i.e., FPGA and Sunway TaihuLight here. FPGA and Sunway TaihuLight represent two distinct and significant hardware architectures for considering the retargeting process. We introduce our retargeting processes and experiences for these two platforms, from the source codes to the compilation processes. We compare the two retargeting approaches and demonstrate some preliminary experimental results

DNA methylation profiling to determine the primary sites of metastatic cancers using formalin-fixed paraffin-embedded tissues

Abstract Identifying the primary site of metastatic cancer is critical to guiding the subsequent treatment. Approximately 3–9% of metastatic patients are diagnosed with cancer of unknown primary sites (CUP) even after a comprehensive diagnostic workup. However, a widely accepted molecular test is still not available. Here, we report a method that applies formalin-fixed, paraffin-embedded tissues to construct reduced representation bisulfite sequencing libraries (FFPE-RRBS). We then generate and systematically evaluate 28 molecular classifiers, built on four DNA methylation scoring methods and seven machine learning approaches, using the RRBS library dataset of 498 fresh-frozen tumor tissues from primary cancer patients. Among these classifiers, the beta value-based linear support vector (BELIVE) performs the best, achieving overall accuracies of 81-93% for identifying the primary sites in 215 metastatic patients using top-k predictions (k = 1, 2, 3). Coincidentally, BELIVE also successfully predicts the tissue of origin in 81-93% of CUP patients (n = 68)