5 research outputs found

    Anomalous thermo-osmotic conversion performance of ionic covalent-organic-framework membranes in response to charge variations

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    Authors of the article systematically investigated how the membrane charge populations affect permselectivity by decoupling their effects from the impact of the pore structure using a multivariate strategy for constructing covalent-organic-framework membranes. The complex interplay between pore-pore interactions in response to charge variations for ion transport across the upscaled nanoporous membranes helps explain the obtained results. This study has far-reaching implications for the rational design of ionic membranes to augment energy extraction rather than intuitively focusing on achieving high densities

    Wind-farm-level sub-/super-synchronous oscillation suppression strategy based on generalized reactance sensitivity

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    In recent years, several sub-/super-synchronous oscillation accidents caused by the grid integration of the direct-drive permanent magnet synchronous generator (D-PMSG) have occurred, which seriously threatens the safe and stable operation of the power system. The existing research on the mechanism and influencing factors of sub-/super-synchronous Oscillation (SSO) caused by D-PMSG and the unit-level suppression method of SSO have been deeply studied, but there is still a lack of research on the suppression strategy of wind-farm-level SSO. To address the problem, this paper proposes a wind-farm-level SSO suppression strategy based on generalized reactance sensitivity. Firstly, the variation trend of the external reactance of the D-PMSG and the system’s pole with parameter changing is analyzed, which provides support for characterizing the system’s stability only through the external reactance. Inspired by the idea that impedance sensitivity is used to find key parameters, the concept of generalized reactance sensitivity is proposed to find the dominant units that have a great influence on the system’s stability. Based on this, corresponding SSO suppression strategies are proposed respectively with and without dominant units. Finally, the effectiveness of the proposed strategy is verified by simulation

    Data_Sheet_1_The single and mixed impacts of cadmium, cobalt, lead, and PAHs on systemic immunity inflammation index in male and female.docx

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    BackgroundStudies on the association between mixed exposure to common pollutants such as cadmium (Cd), cobalt (Co), lead (Pb), and polycyclic aromatic hydrocarbons (PAHs) with Systemic Immune Inflammatory Index (SII), a novel hemocyte-based inflammatory marker, have not been reported. This study explored the relationship between co-exposure to Cd, Co, Pb, PAHs, and SII.MethodsIn this study, we used data from the National Health and Nutrition Examination Survey and enrolled adults with complete information on Cd, Co, Pb, PAHs, and SII. The linear regression was used to analyze the association of single pollutants with SII. Furthermore, a Bayesian Kernel Machine Regression analysis and a generalized weighted quantile sum regression analysis were used to analyze the association between mixed exposure to Cd, Co, Pb, and six PAHs and SII. We also separated males and females and analyzed the different effects of pollutants on SII, respectively.Results5,176 participants were included in the study. After adjusting for age, gender, race, education, smoking, drinking, physical activity, and sedentary, Cd, Co, 1-OHN, 2-OHN and 2-OHF were positive with SII in the total population. Compared with the 50th percentile, the joint effect of pollutants on SII was positive. In the total population, males, and females, the top contaminant with the highest effect weights on SII were Co, Cd, and 1-OHN, respectively. The result of interaction analysis showed that the low concentrations of Cd had an elevation effect on SII in males.ConclusionThis study found a positive association of mixed exposure to Cd, Co, Pb, and six PAHs with SII, which occurred mainly in females.</p
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