Analysis on the Trading Path of Carbon Emission Rights of Village-level Photovoltaic Poverty Alleviation Power Stations in China

Photovoltaic poverty alleviation is a pioneering initiative in the organic combination of China’s poverty alleviation and new energy development. As a landmark project of China’s targeted poverty alleviation, it is characterized with rapid effects, steady profits, precise poverty alleviation and environmental-friendliness. Developing the photovoltaic poverty alleviation power station project into a greenhouse gas emission reduction project that meets the national requirements is not only an innovative measure to consolidate and expand the achievements of poverty alleviation, and continuously promote rural revitalization, but also an effective way to practice green and low-carbon development and promote “Carbon Peak•Carbon Neutrality”. Based on the summaries and analysis of the development of China’s photovoltaic poverty alleviation and carbon trading market and the situation of carbon emission trading pilot, this paper sorts out the relevant policies of poverty alleviation’s participation in carbon trading, studies the participation mode and trading process of village-level photovoltaic poverty alleviation power station, scientifically calculates the additional economic benefits brought by Chinese Certified Emission Reduction (CCER) trading for village-level photovoltaic poverty alleviation power station, and puts forward some policy recommendations on rationally optimizing carbon trading procedures and improving work efficiency. Keywords: Photovoltaic poverty alleviation, Carbon market, Carbon trading, Implementation path DOI: 10.7176/PPAR/11-5-01 Publication date:June 30th 202

A hybrid influence method based on information entropy to identify the key nodes

Identifying the key nodes in complicated networks is an essential topic. A number of methods have been developed in recent years to solve this issue more effectively. Multi-attribute ranking is a widely used and efficient method to increase the accuracy of identifying the key nodes. Using k-shell iteration information and propagation threshold differences, we thoroughly analyze the node’s position attribute and the propagation attribute to offer a hybrid influence method based on information entropy. The two attributes will be weighted using the information entropy weighting method, and then the nodes’ influence ranking will be calculated. Correlation experiments in nine different networks were carried out based on the Susceptible–Infected–Recovered (SIR) model. Among these, we use the imprecision function, Kendall’s correlation coefficient, and the complementary cumulative distribution function to validate the suggested method. The experimental results demonstrate that our suggested method outperforms previous node ranking methods in terms of monotonicity, relevance, and accuracy and performs well to achieve a more accurate ranking of nodes in the network

Nicotine aggravates vascular adiponectin resistance via ubiquitin-mediated adiponectin receptor degradation in diabetic Apolipoprotein E knockout mouse

There is limited and discordant evidence on the role of nicotine in diabetic vascular disease. Exacerbated endothelial cell dysregulation in smokers with diabetes is associated with the disrupted adipose function. Adipokines possess vascular protective, anti-inflammatory, and anti-diabetic properties. However, whether and how nicotine primes and aggravates diabetic vascular disorders remain uncertain. In this study, we evaluated the alteration of adiponectin (APN) level in high-fat diet (HFD) mice with nicotine (NIC) administration. The vascular pathophysiological response was evaluated with vascular ring assay. Confocal and co-immunoprecipitation analysis were applied to identify the signal interaction and transduction. These results indicated that the circulating APN level in nicotine-administrated diabetic Apolipoprotein E-deficient (ApoE−/−) mice was elevated in advance of 2 weeks of diabetic ApoE−/− mice. NIC and NIC addition in HFD groups (NIC + HFD) reduced the vascular relaxation and signaling response to APN at 6 weeks. Mechanistically, APN receptor 1 (AdipoR1) level was decreased in NIC and further significantly reduced in NIC + HFD group at 6 weeks, while elevated suppressor of cytokine signaling 3 (SOCS3) expression was induced by NIC and further augmented in NIC + HFD group. Additionally, nicotine provoked SOCS3, degraded AdipoR1, and attenuated APN-activated ERK1/2 in the presence of high glucose and high lipid (HG/HL) in human umbilical vein endothelial cells (HUVECs). MG132 (proteasome inhibitor) administration manifested that AdipoR1 was ubiquitinated, while inhibited SOCS3 rescued the reduced AdipoR1. In summary, this study demonstrated for the first time that nicotine primed vascular APN resistance via SOCS3-mediated degradation of ubiquitinated AdipoR1, accelerating diabetic endothelial dysfunction. This discovery provides a potential therapeutic target for preventing nicotine-accelerated diabetic vascular dysfunction

Result of a year-long animal survey in a state-owned forest farm in Beijing, China

BackgroundArtificial forest can have great potential in serving as habitat to wildlife, depending on different management methods. As the state-owned forest farms now play a new role in ecological conservation in China, the biological richness of this kind of land-use type is understudied. Once owned by a mining company, a largest state-owned forest farm, Jingxi Forest Farm, has been reformed to be a state-owned forest farm with the purpose of conservation since 2017. Although this 116.4 km2 forest farm holds a near-healthy montaine ecosystem very representative in North China, a large proportion of artificial coniferous forest in the forest farm has been proven to hold less biodiversity than natural vegetation. This situation, however, provides a great opportunity for ecological restoration and biodiversity conservation. Therefore, from November 2019 to December 2020, we conducted a set of biodiversity surveys, whose results will serve as a baseline for further restoration and conservation.New informationHere, we report the result of a multi-taxa fauna diversity survey conducted in Jingxi Forest Farm mainly in year 2020 with explicit spatial information. It is the first survey of its kind conducted in this area, revealing a total of 19 species of mammals, 86 birds, four reptiles, two amphibians and one fish species, as well as 101 species of insects. Four species of mammals are identified as data-poor species as they have less than 100 occurrence records with coordination in the GBIF database. One species of insect, representing one new provincial record genus of Beijing, is reported

Enantiomeric analysis of polycyclic musks AHTN and HHCB and HHCB-lactone in sewage sludge by gas chromatography/tandem mass spectrometry

Rationale Enantioselective analysis of chiral compounds is an interesting and challenging technique used to elucidate the degradation/transformation mechanisms of these compounds or understand their environmental processes. In this study, we have developed an effective separation and detection approach for the enantiomeric analysis of AHTN and HHCB, as well as a transformation product of HHCB (HHCB-lactone), in sludge samples. Methods The analytical method was developed using a cyclodextrin-based enantioselective gas chromatography column combined with tandem mass spectrometry (GC/MS/MS). The GC oven temperature gradients, the linear velocity of the helium carrier gas, as well as the MS/MS parameters, including quantitative and qualitative ion pairs, dwell times, and collision energies, were optimized to achieve good separation and high sensitivity for all target enantiomers. Results Baseline separations of all target enantiomers were observed. Limits of quantification (LOQs) for all enantiomers ranged from 0.010 to 0.045 mu g/L, and calibration linearity for all single enantiomers was higher than 0.99. The intra-day and inter-day precisions for all single enantiomers of AHTN, HHCB, and HHCB-lactone ranged from 0.8 to 3.8% and from 4.2 to 8.3%, respectively. Conclusions The developed method was fully validated through enantioselective analyses of AHTN, HHCB, and HHCB-lactone in sludge samples collected from 17 WWTPs. The enantiomeric fractions (EFs) of HHCB and HHCB-lactone in sludge samples distinctly deviated from 0.50, indicating a significant enantioselective transformation of HHCB with preferential degradation of the 4S enantiomers. Significant positive correlations were found between the EF values of cis-HHCB enantiomers and cis-HHCB-lactone enantiomers in the sludge samples, implying that further efforts are still needed to clarify the degradation/transformation mechanism from HHCB to HHCB-lactone