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After carbon (C) enters a lake through surface runoff and atmospheric deposition, most of it, being influenced by the environmental conditions of the basin, is deposited into lake sediment, thus, becoming one of the most important C pools in the world. Therefore, it is critical to understand sediment response characteristics under the context of increasing C concentrations in lake water. Based on the changes of sediment C concentration at different depths in Poyang Lake, belonging to China's large floodplain-lake system, we revealed the sediment C short-term response characteristics to changes in lake water C concentrations as well as their associated impacting factors. We found that dissolved total carbon (DTC) concentrations increased by 25.78% in winter compared to spring, while total carbon (TC) sediment concentrations increased by only 4.37% during the corresponding period. Specifically, we found that there was a hysteresis effect in the response of sediment C to the increase of water C concentration in the short term. When DTC concentrations in water were below a threshold value (12.50 mg/L), sediment TC concentrations were generally maintained at approximately 5.79 mg/kg. We also believed that biological and environmental factors and sediment stratification characteristics collectively resulted in this sediment C hysteresis effect. Among these factors and characteristics, phytoplankton can affect sediment C response by changing C absorption and utilization in water or cause a synergistic effect along with environmental factors, which is the key link that causes this C sediment hysteresis effect to occur. Furthermore, we found that the combined effect of sediment C from different depths also resulted in a hysteresis effect in C deposition.Existing research on the relationship among corruption, energy efficiency, and industrial carbon emissions is limited, while incorporating them into one analytical framework might provide new insights for the mechanism between corruption and industrial carbon emissions. Using the provincial panel data in China's industry from 2005 to 2015, this study applies the System Generalized Method of Moments (SYS-GMM) to explore the impacts of corruption and energy efficiency on industrial carbon emissions. The results indicate that under current economic development status, the effects of corruption and energy efficiency on industrial carbon emissions are divergent; i.e., corruption can enhance carbon emissions, whereas energy efficiency facilitates carbon emission reduction. Energy efficiency plays a mediating role in the relationship between corruption and carbon emissions for both the whole sample and the sub-samples. In other words, corruption aggravates industrial carbon emissions through lowering energy efficiency. Additionally, for the eastern region in China, there is an inverted U-shaped curve relationship between corruption and carbon emissions, as well as a U-shaped curve relationship between energy efficiency and carbon emissions. For the other regions, there is little sign of nonlinearity. Based on the results, policy implications regarding carbon emissions curbing are proposed.Although banned in multiple areas, due to its persistence in the environment, endosulfan constitutes a significant environmental concern. In this work, fourth instar Chironomus riparius larvae were exposed at environmentally relevant endosulfan concentrations of 0.1, 1, and 10 μg/L for 24 h to analyze the possible effects of this acaricide on gene expression and enzymatic activity. Transcriptional changes were studied through the implementation of a real-time polymerase chain reaction array with 42 genes related to several metabolic pathways (endocrine system, detoxification response, stress response, DNA reparation, and immune system). [https://www.selleckchem.com/products/ms-275.html selleck] Moreover, glutathione-S-transferase (GST), phenoloxidase (PO), and acetylcholinesterase (AChE) activities were assessed. The five pathways were differentially altered by endosulfan exposure with significant changes in the E93, Dis, MAPR, Met, InR, GSTd3, GSTt3, MRP1, hsp70, hsp40, hsp24, ATM, PARP, Proph, and Def genes. Besides, all of the measured enzymatic activities were modified, with increased activity of GST, followed by PO and AChE. In summary, the results reflected the effects provoked in C. riparius at molecular level despite the absence of lethality. These data raise concerns about the strong alteration on different metabolic routes despite the low concentrations used. Therefore, new risk assessment strategies should consider include the effects at the sub-organismal level as endpoints in addition to the classical ecologically relevant parameters (such as survival). This endeavor will facilitate a comprehensive evaluation of toxicants in the environment.Previous infant literature has assessed the symmetric impact of monetary policy uncertainty on a few macro variables. Our study has considered asymmetric monetary policy uncertainty impacts on energy consumption. Our key concern in this study is to regulate whether US monetary policy uncertainty has an asymmetric impact on energy consumption. We employ the symmetric and asymmetric autoregressive distributed lag (ARDL) estimation methods, and we found that monetary policy uncertainty has short- and long-run negative effects on renewable energy consumption in the linear model, while decreased monetary policy uncertainty has a significant negative influence on renewable energy consumption in the USA in the non-linear model. However, in the short and long run, the measure of monetary policy uncertainty has an insignificant impact on non-renewable energy consumption, while increased monetary policy uncertainty in the USA has negative effects and decreased monetary policy uncertainty has positive effects on non-renewable energy consumption in the short and long run in the non-linear model. The effects are asymmetric in direction and magnitude. The study results call for vital changes in renewable and non-renewable energy policies to accommodate monetary policy uncertainties.The hydrodynamics and water quality of a lake in response to human activities is an important yet poorly understood issue. In this study, the responses of flow field, water level, and water quality of the Hongze Lake to changes in land use, project operation, and pollution accident were investigated using the 2D hydrodynamic model, water quality model, and hydrological model. The results show that project operations have more significant effects on the hydrodynamics and water quality of the Hongze Lake than changes in land use. In addition, the construction and operation of various water conservancy projects could increase pollutant diffusion and water exchange, thus contributing to improve the water quality of the Hongze Lake, but there is a need to solve the problem of rising water level in the Lihe depression lake area. The increase of urban and farmland area can significantly affect the flow of the Hongze Lake that could increase the flood risk. The simulations of the loosely coupled model imply that the coupling among the hydrodynamic model, water quality model, and SWAT model for the lake basin is feasible.