770 research outputs found

    Method Of Real-Time Assessing Of Life Of Hp Heater Tube-Plate In Power Plants

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    AbstractIn large power plants, in order to improve safety and stability of HP heaters(High Pressure) in operation, thicker tubeplates are designed and made, which will lead to more thermal stress between tube-plate and end-cover, furthermore, will reduce the thermal fatigue life of HP heaters sharply. so it is necessary to monitor the thermal fatigue its life. However, at presently a large portion of methods carry on calculating or analyzing beforehand or afterwords, which make effect of analyzing life being less greatly. In this paper, according to the theory of calculation of thermal fatigue life, real-time gathering tube-plate's temperatures, and computing the life everyday, provide the basis of operating and maintaining in the power plate

    Facile and Label-Free Electrochemical Biosensors for MicroRNA Detection based on DNA Origami Nanostructures

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    MicroRNAs (miRNAs) have emerged as the promising molecular biomarkers for early diagnosis and enhanced understanding of the molecular pathogenesis of cancers as well as certain diseases. Here, a facile, label-free, and amplification-free electrochemical biosensor was developed to detect miRNA by using DNA origami nanostructure-supported DNA probes, with methylene blue (MB) serving as the hybridization redox indicator, for the first time. Specifically, the use of cross-shaped DNA origami nanostructures containing multiple single-stranded DNA probes at preselected locations on each DNA nanostructure could increase the accessibility and the recognition efficiency of the probes (due to the rational controlled density of DNA probes). The successful immobilization of DNA origami probes and their hybridization with targeted miRNA-21 molecules was confirmed by electrochemical impedance spectroscopy and cyclic voltammetry methods. A differential pulse voltammetry technique was employed to record the oxidation peak current of MB before and after target hybridization. The linear detection range of this biosensor was from 0.1 pM to 10.0 nM, with a lower detection limit of 79.8 fM. The selectivity of the miRNA biosensor was also studied by observing the discrimination ability of single-base mismatched sequences. Because of the larger surface area and unprecedented customizability of DNA origami nanostructures, this strategy demonstrated great potential for sensitive, selective, and label-free determination of miRNA for translational biomedical research and clinical applications

    How Service Guarantee Induces Customer Opportunism Behavior in Online Environment —The Moderating Role of Customers\u27 Personal Characteristics and Reference Group’s Relationship Strength

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    On the internet, the enterprise provides service guarantee, such as return without reason in seven days , to reduce the perceived risk of online customers effectively. Meanwhile, such service guarantee leads some customer opportunistic behavior. Taking the customers\u27 personal characteristics and reference group’s relationship strength as moderator variables, we conduct an empirical research to study the major factor and it’s effect paths on customer opportunistic behavior by using the scenario role-playing approach. The result shows that higher service guarantee is more likely to induce customer opportunism behavior. And customers’ personality (Machiavellianism) has nothing to do with the relationship. On the contrary, the relationship strength has a significantly moderating role in the impact of service guarantee strength on customers’ opportunistic behavior. Knowing friends of strong relationship have opportunistic behaviors, customer is more likely to choose the similar behavior when they face the higher service guarantee

    Quantification of Silver Nanoparticle Interactions with Yeast Saccharomyces Cerevisiae Studied using Single-Cell ICP-MS

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    Silver nanoparticles (AgNPs) have been used in many fields due to their anticancer, antimicrobial, and antiviral potential. Single-cell ICP-MS (SC-ICP-MS) is an emerging technology that allows for the rapid characterization and quantification of a metal analyte across a cell population in a single analysis. In this study, a new rapid and sensitive SC-ICP-MS method was developed to quantitatively study the interactions of AgNPs with yeast Saccharomyces cerevisiae. The method can quantify the cell concentration, silver concentration per cell, and profile the nanoparticle distribution in a yeast cell population. AgNP dosing time, concentration, and AgNP size were quantitatively evaluated for their effects on AgNP-yeast cell interactions. The results showed that the initial uptake of AgNPs was rapid and primarily driven by the mass of Ag per cell. The optimal dosing particle concentrations for highest uptake were approximately 1820, 1000, and 300 AgNPs/cell for 10, 20, and 40 nm AgNPs, respectively. Furthermore, this study also validated a washing method for the application to a microorganism for the first time and was used to quantitatively determine the amount of cell surface–adsorbed AgNPs and intracellular AgNPs. These results indicated that the mass (Ag in ag/cell) ratios of intracelluar vs cell surface-adsorbed AgNPs were similar for different AgNP sizes. This high throughput and ultrasensitive SC-ICP-MS method is expected to have many potential applications, such as optimization of methods for green synthesis of AgNPs, nanotoxicity studies, and drug delivery. This is the first quantification study on the interactions of AgNPs and S. cerevisiae using SC-ICP-MS. Graphical abstract: [Figure not available: see fulltext.]

    Comprehensive Benefit Evaluation and Regional Difference Research of State-owned Mixed-ownership Enterprises

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    Scientific and accurate assessment of the comprehensive benefits and regional differences of state-owned mixed-owned enterprises is an important link in promoting the steady progress of mixed-ownership reform of state-owned enterprises and achieving high-quality development of the state-owned economy. Using factor analysis method and GA-BP neural network model to evaluate the comprehensive benefits of listed state-owned mixed enterprises, the results show that, first, the main factors affecting the comprehensive benefits of state-owned mixed enterprises are profitability factor, sustainability factor and solvency factor, and the effect is as follows: profitability factor\u3esustainability factor\u3esolvency factor; second, factor analysis effectively improves the evaluation performance of the GA-BP neural network model. Further analysis of regional differences, it is found that the average comprehensive benefit of regional state-owned mixed enterprises is: eastern region \u3e central region \u3e western region. Among them, the profitability factor and solvency factor are as follows: eastern region\u3ecentral region\u3ewestern region, and the size of sustainability factor is: eastern region\u3ewestern region\u3ecentral region. Therefore, we can start from deepening the classification reform of state-owned enterprises, increasing investment in innovation, reducing financial leverage, and improving regional linkages, so as to improve the profitability, solvency and sustainability of enterprises, narrow regional differences, and achieve coordinated development between regions

    The role of AMPK/mTOR/S6K1 signaling axis in mediating the physiological process of exercise-induced insulin sensitization in skeletal muscle of C57BL/6 mice

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    AbstractThe crosstalk between mTORC1/S6K1 signaling and AMPK is emerging as a powerful and highly regulated way to gauge cellular energy and nutrient content. The aim of the current study was to determine the mechanism by which exercise training reverses lipid-induced insulin resistance and the role of AMPK/mTOR/S6K1 signaling axis in mediating this response in skeletal muscle. Our results showed that high-fat feeding resulted in decreased glucose tolerance, which was associated with decreased Akt expression and increased intramuscular triglyceride deposition in the skeletal muscle of C57BL/6 mice. Impairments in lipid metabolism were accompanied by increased total protein and phosphorylation of S6K1, SREBP-1c cleavage, and decreased AMPK phosphorylation. Exercise training reversed these impairments, resulting in improved serum lipid profiles and glucose tolerance. C2C12 myotubes were exposed to palmitate, resulting in an increased insulin-dependent Akt Ser473 phosphorylation, associated with a significant increase in the level of phosphorylation of S6K1 on T389. All these changes were reversed by activation of AMPK. Consistent with this, inhibition of AMPK by compound C induced an enhanced phosphorylation of both S6K1 and Akt, and silencing of S6K1 with siRNA showed no effect on Akt phosphorylation in both the absence and presence of palmitate cultured myotubes. In addition, compound C led to an elevated SREBP-1c cleavage but was blocked by S6K1 siRNA. In summary, exercise training inhibits SREBP-1c cleavage through AMPK/mTOR/S6K1 signaling, resulting in decreased intramyocellular lipid accumulation. Our results provide new insights into the mechanism by which AMPK/mTOR/S6K1 signaling axis mediates the physiological process of exercise-induced insulin sensitization
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