Riley Hale (sledclam16)

5 exposure independently or significantly influenced by the interaction of maternal PM2.5 exposure and hyperlipidemia. In addition, 4 adipokines (ANGPTL4, IGFBP-2, IL-12p40, and TNF-RII) and 3 lipid classes [phosphatidylcholines (PCs), phosphatidylinositols (PIs), and triglycerides (TGs)] were related to the increased risk of PTB, indicating that inflammation, IGF/IGFBP axis, and lipolysis induced lipid homeostasis disorder of PCs, TGs, and PIs might be the possible mediators for the PM2.5-induced adverse birth outcomes. Our results substantiated the need for reducing exposure in susceptible populations.Both economic globalization and population aging have given rise to changes in environmental quality, but the research that integrates these two crucial factors into the same environment policy framework is still a blank. Therefore, using panel data of the Organization for Economic Cooperation and Development (OECD) over the period 1971-2016, this study examines the long-term impact of economic globalization and population aging on CO2 emissions. First, second-generation panel regression approaches are employed to verify the panel data, including unit root tests, cointegration tests and causality tests. Next, Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS) are respectively used for empirical analysis of the long-term impact between variables. BAY-293 clinical trial The augmented mean group (AMG) is also applied to ascertain the robustness results of the estimation coefficients. Finally, using Dumitrescu and Hurlin non-causality test to examine the causal associations between variables to avoid the contingency of the results. The overall results show that economic globalization and population aging decrease the long-term CO2 emissions. The inverted U-shaped relationship between economic growth and environmental pollution confirms the effectiveness of the Environmental Kuznets Curve (EKC) in OECD countries. In addition, unidirectional causal relationships have been found from economic globalization and population aging to CO2 emissions in this study. Policy suggestions in response to these findings are discussed.Particle-bound mercury discharged with fine particulate matter from coal-fired power plants causes atmospheric pollution that impacts human health. In this study, the speciation and size-specific distribution of particle-bound mercury in filterable particulate matter (FPM) from an ultra-low emission power plant and condensable particulate matter (CPM) from an entrained flow reactor were analyzed. Most importantly, particle-bound mercury was enriched in fine particles smaller than 0.02 μm, whose mass fraction was several orders of magnitude higher than that in large particles. Particularly, HgBr2, HgCl2, and HgO were major mercury species in FPM, whereas CPM involves mostly HgCl2 with a small portion of HgBr2. The occurrence of these species was also confirmed by a thermodynamic equilibrium calculation. The results further revealed the effects of air pollution control devices (APCDs) on the speciation of particle-bound mercury. Specifically, an electrostatic precipitator (ESP) removed most particle-bound mercury. Similarly, wet flue gas desulfurization (WFGD) dramatically reduced particle-bound mercury for most particles, except those between 0.1 and 1 μm. At the outlet of WFGD, mercury bound with FPM10 (smaller than 10 μm) is only 0.15% of the total mercury at the inlet of selective catalytic reduction (SCR). This knowledge provides insights that can be used to design and optimize the control strategy for mercury emission in power plants.The applications of photocatalytic pollutant degradation have remained limited due to the low efficiency of solar energy utilization. In this study, a photothermal catalyst consisting of reduced graphene oxide @ black TiO2 (RGO@BT) nanofluid with effective full-spectrum (from ultraviolet to infrared light) absorption was synthesized by a typical