[SmCu(C6N2H5O2)2(C2O4)] n , triclinic, P1 ‾(no. 2), a = 9.457(6) Å, b = 9.482(4) Å, c = 11.013(4) Å, α = 75.87(4)°, β = 89.853(12)°, γ = 62.786(11)°, V = 844.8(7) Å3, Z = 2, Rgt (F) = 0.0292, wRref (F 2) = 0.0691, T = 296 K.

The identification of cone photoreceptor cells is important for early diagnosing of eye diseases. We proposed automatic deep-learning cone photoreceptor cell identification on adaptive optics scanning laser ophthalmoscope images. The proposed algorithm is based on DeepLab and bias field correction. Considering manual identification as reference, our algorithm is highly effective, achieving precision, recall, and score of 96.7%, 94.6%, and 95.7%, respectively. To illustrate the performance of our algorithm, we present identification results for images with different cone photoreceptor cell distributions. The experimental results show that our algorithm can achieve accurate photoreceptor cell identification on images of human retinas, which is comparable to manual identification.

Internet of Things is an application of network news communication technology. Based on the Internet, it uses physical access technologies such as radio frequency tag and wireless sensor network news communication and network news communication information transmission technology to build a network news communication information system that can cover people and things. In the physical layer, the relative position of the object is calculated by using multipoint cooperative localization, so as to determine the minimum anonymous region. Generate and maintain the anonymous tree topology on the network news dissemination layer, and provide storage management support for multiple anonymous groups. In the application layer, the object determines the corresponding anonymity degree according to the identity and uses the frame structure to construct and return the new anonymous group consistent with the existing anonymous group, which can prevent the persistent multiprecision query attack. A real-time control method for intrusion response of a security control system is designed, which includes two stages: response task generation and integrated scheduling. An intrusion response task set generation method based on an improved nondominated sorting genetic algorithm is presented, and a distributed integrated task scheduling and optimization algorithm based on a genetic algorithm and a directed acyclic graph is designed. The numerical simulation results show that this method can quickly and smoothly implement the response strategy of information security intrusion without affecting the normal execution of system tasks.

[Co(C 11 H 11 O 2 N 2 ) 2 (H 2 O) 2 ], monoclinic, P21/c$P{2}_{1}/c$ (no. 14), a  = 8.7117(5) Å, b  = 8.7935(5) Å, c  = 15.0791(9) Å, β  = 103.557(1)°, V  = 1122.97(11) Å 3 , Z  = 2, R gt ( F ) = 0.0271, wR ref ( F 2 ) = 0.0725, T  = 296(2) K.

Background . The present study focused on the potential clinical significance of miR-3934 in the occurrence and development of asthma. Methods . 80 asthma and 80 healthy controls were recruited in this study. The peripheral blood mononuclear cells (PBMCs) and serum samples of the asthma patients as well as the healthy controls were isolated, and the expression levels of miR-3934 in PBMCs were examined by RT-qPCR methods. Furthermore, the relationship between the level of miR-3934 in PBMCs and the disease severity has been analyzed, and the potential diagnostic value of miR-3934 was evaluated by the receiver operating characteristics (ROC) curve. Finally, the expression level of IL-6, IL-8, and IL-33 have been detected using the ELISA kits, and Pearson’s correlation analysis was performed to investigate the relationship between the level of miR-3934 in PBMCs and the serum expression of those inflammatory cytokines in asthma patients. Results . miR-3934 was dramatically decreased in PBMCs of the asthma patients, and miR-3934 was markedly reduced in PBMCs of patients with severe asthma vs. mild asthma. Furthermore, ROC analysis showed that levels of miR-3934 in PBMCs can distinguish asthma patient, especially the severe asthma patients from the controls. Finally, the levels of miR-3934 in PBMCs were negatively correlated with the serum levels of IL-6, IL-8, and IL-33 in asthma patients, respectively. Conclusions . miR-3934 was downregulated in PBMCs of asthmatic patients and may function as a potential diagnosis biomarker.

Objective . This study is aimed at investigating the role of long noncoding RNA (lncRNA) RP11-815M8.1 in the osteogenic differentiation of human bone marrow mesenchymal stem cells (hBMSCs). Methods . RT-PCR was used to detect the expression of lncRNA RP11-815M8.1 before and after osteogenic differentiation of hBMSCs. The lncRNA RP11-815M8.1 in hBMSCs was overexpressed or silenced via lentiviral transfection. The transfection efficiency was detected by RT-PCR, and the proliferation of hBMSCs was determined by CCK-8. After 14 days of osteogenic differentiation of transfected hBMSCs, the expression of osteogenic transcription factors (ALP, OCN, OPN, Runx2, and Osterix) was detected by alizarin red staining and RT-PCR. The mRNAs directly regulated by lncRNA RP11-815M8.1 and targeted miRNAs were analyzed according to the positional relationship between lncRNA and mRNA in the genome and miRanda software. Results . The expression of lncRNA RP11-815M8.1 enhanced with increasing osteogenic differentiation time of hBMSCs. Two days after the transfection of hBMSCs, lncRNA RP11-815M8.1 expression was significantly increased in the overexpression group and significantly decreased in the knockdown group, compared to control cells. The CCK-8 assay showed that overexpression and knockdown of lncRNA RP11-815M8.1 did not affect the proliferation of hBMSCs. After 14 days of differentiation of hBMSCs, stronger alizarin red staining was observed in the overexpression groups, and the expression of osteogenic transcription factors was increased in the overexpression group compared to the control. In the knockdown group, alizarin red staining and the expression of osteogenic transcription factors were decreased. Bioinformatics analysis showed that lncRNA RP11-815M8.1 was directly associated with one mRNA, 27 interacting miRNAs, and 20 miRNA-targeted mRNAs. Conclusion . The osteogenic differentiation of hBMSCs can be promoted by lncRNA RP11-815M8.1 in vitro.