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After comparing the bacterial load of black-yolked salted duck eggs (BSE) and that of duck eggs with different cleanliness degrees, it was found that the total bacterial count on the shell of severely stained eggs (DE) was distinctly higher than that on the shell of non-visually stained eggs (CE), and the total bacterial count in the shell membrane and contents of BSE increased greatly. Furthermore, 16S rDNA gene sequencing was used to analyze the differences in the composition and abundance of bacterial communities in CE, DE and BSE. It turned out that Proteobacteria, Firmicutes and Actinobacteria were the dominant phyla, accounting for 34.35%, 27.25% and 17.28% of the total abundance, respectively, while Bacteroidetes accounted for 8.29% of the total abundance. Proteobacteria was the dominant bacteria in DE and accounted for 89.01% of the total abundance, while the relative abundance of Firmicutes and Actinobacteria were 6.16% and 3.98%. The dominant phyla in BSE were Proteobacteria (76.50%), Bacteroidetes (8.00%), Actinobacteria (6.76%) and Firmicutes (5.43%). The abundance of Proteobacteria in DE and BSE was significantly increased. The dominant bacterial genera in CE were Nesterdella (9.08%), Campylobacter (7.91%), Streptococcus (3.41%) and Oligomonas (2.92%). In DE, Psychrobacter was the dominant genus, accounting for 86.01% of the total abundance, and the relative abundance of Acinetobacter was 2.20%. The dominant bacteria in BSE were Rolstonia (22.91%), Serratia (5.05%) and Actinomycetes (3.32%). The cluster analysis of bacterial diversity showed that the dominant microorganisms of BSE were close to those of DE. The microbial phenotype analysis showed that the dominant microorganisms of BSE were Gram-negative bacteria, had high oxidative stress tolerance and pathogenicity, and could tolerate oxidizing detergents. The results of microbial gene function prediction and species composition of metabolic pathways demonstrated that bacterial carbohydrate decomposition, lipid transport and metabolic oxidation in DE were stronger than those in CE. More coenzyme transport and metabolic pathways could make the biochemical reactions of bacteria from DE faster to produce more secondary metabolites, thus resulting in changes in the quality of duck eggs. This is consistent with the highest bacterial abundance in the secondary metabolite biosynthesis, transport and catabolism pathways in BSE. The results of this study provide theoretical support for the cleaner production of duck eggs.

The Mesozoic Mishi continental basin in the Xichang District, Sichuan Province, is located on the western margin of the Yangtze Craton. Rhenium associated with sandstone-type copper ore has recently been discovered in the Lower Cretaceous Feitianshan Formation (K1f) in the basin. Copper-rhenium ore bodies are found in fragmented, lenticular sandstones of the Feitianshan Formation. Numerous fine-veined bitumen could be found in the ore. To explore the effect of organic matter (bitumen) on copper-rhenium mineralization in sandstone copper-rhenium deposits (spots) in the Mishi Basin, the ore and bitumen in the deposits (spots) were studied on mineralography, microstructure, infrared spectroscopy and isotope composition of organic carbon. The results show that the copper minerals occur in the bitumen as anhedral grains and display athel metasomatic structure. The bitumen has high Cu and Re contents and is formed by thermal cracking in the ancient oil reservoir in the Lower Triassic Baiguowan Formation. The formation of the copper-rhenium deposit has a close spatial and genetic relationship with the organic matter of the ancient oil reservoir. This type of deposit provides a new object for the study of super-enrichment of rhenium and other dispersed elements.

Kart reservoir is important for the Middle Permian Maokou Formation in the northern part of Sichuan Basin. Based on field outcrops and drilling core data, combining both macro and micro methods, the characteristics of karst strata association of the Maokou Formation in this area was studied by the means of thin section observation, scanning electron microscope, major and trace elements and experimental dissolution. The first member of the Maokou Formation is dominated by marl and bioclastic micritic limestone, and the content of acid insoluble matter is high. The second and third members of the Maokou Formation are dominated by micritic bioclastic limestone and bright crystal bioclastic limestone, and the content of acid insoluble matter is low. The results of dissolution experiments show that the mineral type and chemical composition of carbonate rock are the main factors affecting the solubility of rock. The change characteristics of the dissolution rate of samples, solution ion concentration and micro dissolution are as follows: bioclastic limestone>micrite limestone>dolomite>argillaceous limestone. The karst strata association types of the Maokou Formation can be divided into 2 groups, 3 types and 9 subtypes. The karstification conditions and rock dissolution degree of different karst formation types are different, and the development scale of fracture cave karst reservoir is also different.

Among the degradations of low-quality images,luminance deviations such as brighter or darker images are very common image degradation phenomena.The image enhancement method based on fully supervised learning faces the dilemma that the training data is difficult to obtain or the acquisition cost is too high,and the training data is inconsistent with the application scene.To handle these problems,an unsupervised image dehazing and low-light enhancement algorithm based on luminance adjustment is proposed in this paper.A deep architecture with channel attention and pixel attention mechanism are designed to measure the differences between enhanced images and input low-quality images.A variable quadratic function has been applied to adjust the pixel luminance of the image.Multiple unsupervised losses i.e.,brightness saturation loss,spatial consistency loss,illumination smoothness loss and pseudo-label supervision loss are utilized to alleviate the illumination deviations but to ensure the identity between the enhanced images and the input low-quality images,which efficiently improve the quality of the images.Empirically,an intensity compression strategy is applied for the hazy images to darken the hazy images to have a similar intensity range with low-light images.Thus,the hazy images can be treated equally with low-light images with our deep network to adjust the luminance of the image.For the dehazing task,compared with the second-best method,our method improves the PSNR value for 2.8 dB and SSIM value for 0.01 in RESIDE dehazing dataset.For the low-light enhancement task,our method outperforms the second-best method for 0.56 dB and 0.01 separately measured by PSNR and SSIM in the SICE dataset.The proposed image dehazing and low-light enhancement algorithms can restore high-quality images from hazy images and low-light images.It effectively overcomes the difficulty of acquiring the targeted enhanced data or alleviates the problem of domain gap between training data and application data in the low-level vision tasks,which improves its adaptivity in real applications.

In this study, the leaching solution containing vanadium(IV), chromium(III) and iron(II) obtained in the process of extracting low valence vanadium from vanadium slag was taken as the research object, and the vacuum cooling method was applied to crystallize iron(II) from the leachatein the form of Mohr’s salt, which realized the efficient separation of iron from vanadium(IV) and chromium(III) and the preparation of Mohr’s salt. The effect of pH value, ammonium sulfate addition, reaction time, and crystallization time on the separation behavior of ferrovanadium crystallization were investigated. The results showed that the removal rate of iron reached 86.42% under the conditions of the vacuum degree of 0.08 MPa, pH value of 2.5, addition of ammonium sulfate (calculated as n((NH4)2SO4)/n(FeSO4)) of 1.2, reaction for 140 min and crystallization for 36 h. The loss of vanadium and chromium were only 0.52% and 1.64%, respectively. In addition, Mohr’s salt with a purity of 99.23% was obtained.

Somatic symptom disorder (SSD) is a common medical disorder characterized by various biological, psychological, and social pathogenic factors. At present, little is known about the neural mechanism of SSD. This study evaluated the dysfunction in 45 patients with SSD and 43 controls by combining the amplitudes of low-frequency fluctuation (ALFF) and regional homogeneity (ReHo) methods with resting-state functional magnetic resonance imaging (fMRI). The patients with SSD exhibited significantly greater ReHo values in the right middle cingulate gyrus, and smaller ReHo values in the right precuneus, the left inferior temporal gyrus extending to the left middle temporal gyrus and the left parahippocampal gyrus, and the right pons compared with the controls. The SSD patients showed higher ALFF values in the middle cingulate gyrus extending to the left middle frontal gyrus, the right insula extending to the right inferior frontal gyrus, and left middle frontal gyrus extending to the left anterior cingulate cortex. These dysfunction areas are involved in self-relevant processes, emotional processing, and body perception, which are closely related to the pathogenesis of SSD.

Geological disasters in mining areas have become more and more serious in recent years. For accurate monitoring of surface subsidence with complex topography of tailings dam, based on the monitoring data of UAV(Unmanned Aerial Vehicle) low-altitude photogrammetry, the UAV original POS(Position and Orientation System) data error were improved, data from the error correction model was used to correct the original POS model and 7 kinds of control point layout were designed, high resolution evaluation was conducted on the orthogonal projection as well as the DEM(Digital Elevation Model) accuracy. The results show that when the number of image control points is 8, the data error can be controlled within 3 mm. The settlement map of the mining dam is generated by overlaying the ground model with the difference values of the two DEM data, and the profiles with Y=350 m, Y=100 m and X=60 m were made respectively. The measurement results indicated that the tailing dam has been subsided as a whole, and the southern mining dam has the largest subsidence area, which is within 0.16 m. This application verifies that the accuracy of UAV low altitude photogrammetry in mining dam surface monitoring is reliable. The high-precision mapping method of UAV is used to monitor the deformation of tailing dam, which plays a certain early warning role in the ecological disaster terrain of the oasis area and the surrounding rivers and lakes which may be caused by the emergency response of dam break and the safe production of mining area.

Objective To investigate the effect of tumor necrosis factor receptor-associated factor 6 (TRAF6) on barrier and targeted binding of miR-125b to TRAF6 in human pancreatic ductal epithelial cell line HPDE6C7. Methods TRAF6 expression HPDE6C7 cells were up-regulated by recombinant lentivirus infection. The protein expression of nuclear factor κB(NF-κB) pathway and tight junction were examined by Western blot, the permeability of monolayer HPDE6C7 cells was measured with Transwell cab to evaluate the epithelial barrier function, and the targeted binding of miR-125b to TRAF6 was identified by dual-luciferase reporter assay. Results After up-regulation of TRAF6 expression by HPDE6C7 cells, the protein level of NF-κB p65, TGFβ-activated kinase 1(TAK1) and TAK1-binding 1 (TAB1) was increased, and the protein level of occludin and claudin-1 was decreased(P＜0.05), the permeability increased significantly (P＜0.05). Dual-luciferase reporter assay confirmed that TRAF6 was the target gene of miR-125b. Conclusions TRAF6 potentially play a role in affecting the pancreatic ductal epithelial barrier by regulating the NF-κB signaling pathway, which may be inhibited by miR-125b targeted binding to TRAF6.

The research on the security of McEliece (M) public key cryptosystem was presented. The Hamming weight of error vector is less than the code length, and M public key cryptosystem based on Goppa code possesses low weight public code words. Considering the above analysis, an attack algorithm based on enumeration error vector was proposed. The effect on probability of correct decryption by the numbers of error flipping bits and algorithm iteration was focused on. And the security of (1 024,524,101) Goppa-based M public key cryptosystem was analyzed. Performance analysis of the proposed algorithm from probability of correct decryption and work factor was simulated, and the experimental results show that the proposed algorithm has a good performance when the code weight is low.