The optimal choice of environmental tax revenue usage: Incentives for cleaner production or end-of-pipe treatment?

The environmental tax system is effective in pollution abatement. However, levying an environmental tax may be detrimental to economic growth. Reasonable use of environmental tax revenue may achieve both environmental protection and economic growth. This study proposes to earmark environmental tax revenue for pollution treatment. Taking fiscal expenditure theory into consideration, environmental tax revenue usage is divided into transfer expenditure and purchase expenditure. An environmental computable general equilibrium (CGE) model is established to evaluate the effects of environmental tax revenue usage. The optimal choice is to increase the environmental tax rate and simultaneously use tax revenue for cleaner production subsidies and end-of-pipe treatment expenditures. Under the optimal scenario, pollutant retention decreases by 21.45%, and GDP increases by 0.006%. For most regions in China, it is better to raise the environmental tax rate to the middle level of a specified range. Moreover, the government should distribute environmental tax revenue evenly across the expenditure of different environmental protection projects.

The Assessment on Synergistic Activity of Ebselen and Silver Ion Against Yersinia pseudotuberculosis.

Yersinia pseudotuberculosis is a foodborne zoonotic bacterium that is pathogenic to guinea pigs, rabbits, and mice. It also causes pseudotuberculosis in humans. However, it still lacked the scientific basis for control. Here, we found out that Ebselen (EbSe) exhibited synergistic antibacterial activity with silver nitrate (Ag+) against Y. pseudotuberculosis YpIII strain with high efficacy in vitro using UV-visible light absorption spectrum, 5,5'-dithiobis-(2-nitrobenzoic acid), laser scanning confocal microscope, flow cytometry, transmission electron microscopy and Western blotting assays. The depletion of total glutathione (GSH) amount and inhibition of thioredoxin reductase (TrxR) activity in thiol-dependent redox system revealed the destructiveness of EbSe-Ag+-caused intracellular oxidative stress. Furthermore, a YpIII-caused mice gastroenteritis model was constructed. EbSe-Ag+ significantly reduced bacterial loads with low toxicity. It also down-regulated the expression levels of interferon (IL)-1ß and tumor necrosis factor-α, up-regulated the expression level of IL-10 on-site. All the in vivo results demonstrated the antibacterial activity and immune-modulatory property of EbSe-Ag+. Collectively, these results provided academic fundament for further analysis and development of EbSe-Ag+ as the antibacterial agents for pseudotuberculosis control.

The Assessment of Autonomic Nervous System Activity Based on Photoplethysmography in Healthy Young Men.

Noninvasive assessment of autonomic nervous system (ANS) activity is of great importance, but the accuracy of the method used, which is primarily based on electrocardiogram-derived heart rate variability (HRV), has long been suspected. We investigated the feasibility of photoplethysmography (PPG) in ANS evaluation. Data of 32 healthy young men under four different ANS activation patterns were recorded: baseline, slow deep breathing (parasympathetic activation), cold pressor test (peripheral sympathetic activation), and mental arithmetic test (cardiac sympathetic activation). We extracted 110 PPG-based features to construct classification models for the four ANS activation patterns. Using interpretable models based on random forest, the main PPG features related to ANS activation were obtained. Results showed that pulse rate variability (PRV) exhibited similar changes to HRV across the different experiments. The four ANS patterns could be better classified using more PPG-based features compared with using HRV or PRV features, for which the classification accuracies were 0.80, 0.56, and 0.57, respectively. Sensitive features of parasympathetic activation included features of nonlinear (sample entropy), frequency, and time domains of PRV. Sensitive features of sympathetic activation were features of the amplitude and frequency domain of PRV of the PPG derivatives. Subsequently, these sensitive PPG-based features were used to fit the improved HRV parameters. The fitting results were acceptable (p < 0.01), which might provide a better method of evaluating ANS activity using PPG.