677 research outputs found

    Data Service Outsourcing and Privacy Protection in Mobile Internet

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    Mobile Internet data have the characteristics of large scale, variety of patterns, and complex association. On the one hand, it needs efficient data processing model to provide support for data services, and on the other hand, it needs certain computing resources to provide data security services. Due to the limited resources of mobile terminals, it is impossible to complete large-scale data computation and storage. However, outsourcing to third parties may cause some risks in user privacy protection. This monography focuses on key technologies of data service outsourcing and privacy protection, including the existing methods of data analysis and processing, the fine-grained data access control through effective user privacy protection mechanism, and the data sharing in the mobile Internet

    catena-Poly[[aqua­(5,5′-dimethyl-2,2′-bipyridine-κ2 N,N′)copper(II)]-μ-2,2′-oxydibenzoato-κ2 O:O′]

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    In the title compound, [Cu(C14H8O5)(C12H12N2)(H2O)]n, the CuII ion is penta­coordinated in a square-pyramidal geometry. Two N atoms of the chelating 5,5′-dimethyl-2,2′-bipyridine (dbp) ligand and two O atoms of two different 2,2′-oxydibenzoic (odb) ligands occupy the basal plane while the water O atom completes the square-pyramidal geometry at the apical site. The non-water N2O2 donor atoms are nearly coplanar, with a mean deviation from the least-squares plane of 0.0518 (11) Å and the Cu atom is displaced by 0.1507 (11) Å from this plane towards the apical water O atom. Further coordination via the 2,2′-oxydibenzoate anions forms a one-dimensional coordination polymer extending parallel to [010]. In the crystal structure, O—H⋯O hydrogen bonds link the mol­ecules into a two-dimensional supra­molecular structure

    Hemodynamic changes after transcatheter aortic valve implantation during sequential follow-ups in patients with bicuspid aortic valve compared with tricuspid aortic valve

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    Background: To investigate the individual sequential hemodynamic changes after transcatheter aortic valve implantation (TAVI), especially for patients with bicuspid aortic valve (BAV), in comparison with tricuspid aortic valve (TAV). Methods: The study population comprised 85 patients with severe aortic stenosis who underwent TAVI for BAV (n = 49) or TAV (n = 36) with at least two serial echocardiographic follow-ups. Doppler echocardiography was scheduled to be performed at discharge and 1, 3, 6 months and 1 year after the procedure. D peak transvalvular velocities and D mean transvalvular gradients were calculated as the difference at follow-up time points and discharge. Paravalvular leak (PVL) was assessed as another indicator for prosthesis performance. Results: Comparisons between patients with BAV and TAV revealed similar gradient performances (1.00 [–2.00, 2.00] vs. 1.00 [–0.25, 5.00] mm Hg, p = 0.57 at 1 month; –0.71 ± 7.52 vs. 1.55 ± 3.97 mm Hg, p = 0.21 at 3 months; 0.96 ± 7.81 vs. 1.53 ± 5.85 mm Hg, p = 0.79 at 6 months; 1.00 [–0.50, 2.25] vs. 3.00 [–0.50, 7.50] mm Hg, p = 0.07 at 1 year). Moreover, the incidence of ≥ mild PVL was not significantly different in patients with BAV and TAV during follow-up (34.88% vs. 19.35%, p = 0.14 at 1 month; 45.83% vs. 27.27%, p = 0.19 at 3 months; 30.00% vs. 23.53%, p = 0.89 at 6 months; 30.00% vs. 17.65%, p = 0.56 at 1 year). Conclusions: TAVI is effective and applicable in BAV anatomy with sustained and acceptable mid- -term prosthesis hemodynamic performance. (Cardiol J 2017; 24, 4: 350–357

    Characterization of a Superconducting Microstrip Single-Photon Detector Shunted with an External Resistor

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    A superconducting microstrip single-photon detector (SMSPD) generally requires a shunt resistor to avoid latching, caused by its high current-carrying capacity and low kinetic inductance. Here, the effect of the shunt resistor on the behaviors of microbridge SMSPDs was investigated. We analyzed the change in equivalent switching current at different shunt resistances in two ways and determined the operating current range using intrinsic dark count rate (iDCR) curves. We observed that the reduction in shunt resistance can increase the operating current range, which helps to improve the internal detection efficiency (IDE) and reduce the iDCR. However, the reduction in the shunt resistance can reduce the pulse amplitude and increase the pulse decay time, which can degrade the timing jitter and count rate performance of the SMSPD. The trends of the experimental results can be qualitatively reproduced using a circuit model for an SMSPD with a shunt resistor, which provides useful information for the selection of shunt resistors. Furthermore, we report the improved detection performance of a helium-ion-irradiated SMSPD shunted with a small resistance of 5.2 {\Omega}. We observed a weak IDE saturation with a bias current at a wavelength up to 2000 nm and a nonlinear relation between detection current and photon energy.Comment: 13 pages, 8 figures, 1 tabl

    REG1A and RUNX3 Are Potential Biomarkers for Predicting the Risk of Diabetic Kidney Disease

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    Diabetic kidney disease (DKD) is the leading cause of end-stage renal disease. Clinical features are traditionally used to predict DKD, yet with low diagnostic efficacy. Most of the recent biomarkers used to predict DKD are based on transcriptomics and metabolomics; however, they also should be used in combination with many other predictive indicators. The purpose of this study was thus to identify a simplified class of blood biomarkers capable of predicting the risk of developing DKD. The Gene Expression Omnibus database was screened for DKD biomarkers, and differentially expressed genes (DEGs) in human blood and kidney were identified via gene expression analysis and the Least Absolute Shrinkage and Selection Operator regression. A comparison of the area under the curve (AUC) profiles on multiple receiver operating characteristic curves of the DEGs in DKD and other renal diseases revealed that REG1A and RUNX3 had the highest specificity for DKD diagnosis. The AUCs of the combined expression of REG1A and RUNX3 in kidney (AUC = 0.929) and blood samples (AUC = 0.917) of DKD patients were similar to each other. The AUC of blood samples from DKD patients and healthy individuals obtained for external validation further demonstrated that REG1A combined with RUNX3 had significant diagnostic efficacy (AUC=0.948). REG1A and RUNX3 expression levels were found to be positively and negatively correlated with urinary albumin creatinine ratio and estimated glomerular filtration rate, respectively. Kaplan-Meier curves also revealed the potential of REG1A and RUNX3 for predicting the risk of DKD. In conclusion, REG1A and RUNX3 may serve as biomarkers for predicting the risk of developing DKD

    Effects of tumor metabolic microenvironment on regulatory T cells

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    Recent studies have shown that on one hand, tumors need to obtain a sufficient energy supply, and on the other hand they must evade the body’s immune surveillance. Because of their metabolic reprogramming characteristics, tumors can modify the physicochemical properties of the microenvironment, which in turn affects the biological characteristics of the cells infiltrating them. Regulatory T cells (Tregs) are a subset of T cells that regulate immune responses in the body. They exist in large quantities in the tumor microenvironment and exert immunosuppressive effects. The main effect of tumor microenvironment on Tregs is to promote their differentiation, proliferation, secretion of immunosuppressive factors, and chemotactic recruitment to play a role in immunosuppression in tumor tissues. This review focuses on cell metabolism reprogramming and the most significant features of the tumor microenvironment relative to the functional effects on Tregs, highlighting our understanding of the mechanisms of tumor immune evasion and providing new directions for tumor immunotherapy
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