The New History of Urbanization Representation: Another Face of New Century Novels

From de-urbanization to urbanization, China has created a new history, it has mainly undergone a gradual transition from integration to diversification. Based on the actual cities in China in the new century after reform and opening up, one period of time which born at the end of 1978, we tend to interrogate the urban novel for corresponding to rural novel, is a reflection on cultural integration and de-urbanization. From three aspects including the transcendence of modernity, the urban and rural spatial narrative of new century novels and the presentation of urban landscapes, considering the recursive reality from rural China to urban China, we attempt to explore how the novel text represents China's urbanization, dig out the manifestations of human’s survival in the process of urbanization in China in the new century after seeking roots in rural areas, thus mirroring the mixed urban habitats of multiple ethnic groups in Guangxi

The New History of Urbanization Representation: Another Face of New Century Novels

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Does the different sectoral coverage matter? An analysis of China's carbon trading market

Abstract(#br)By the end of 2017, China formally established the national carbon trading market, however, only electricity industry was eligible to participate in the emission trading scheme (ETS). This paper aims to answer the question as to what should China do after the first step of establishing China’s national ETS market using a dynamic recursive CGE model with six scenarios from different coverage according to relevant documents. The results show that when more industries are covered in ETS market it will lead to a higher GDP performance and less ETS price in general. Since the trading price is related to the marginal emission reduction cost of enterprises, the coverage of enterprises with low emission reduction cost can bring lower prices. However, there is no direct relationship between carbon price and emission reduction, as the coverage is different in different. There is no obvious relationship between the additional burden of enterprises and emission reduction, it is only related to carbon price and the coverage. Finally, we find that after covering the power generation industry, the carbon market should cover other primary energy production enterprises, which will bring much better emission reduction benefits than the original plan of the National Development and Reform Commission in China

How does tax system on energy industries affect energy demand, CO 2 emissions, and economy in China?

Abstract(#br)Energy savings and CO 2 emission reduction have become a major issue in recent years. Taxes on energy production sectors may be an effective way to save energy, reduce CO 2 emissions, and improve environmental quality. This paper constructs a dynamic recursive Computable General Equilibrium (CGE) model to analyze the impact of the energy tax on energy, economy, and environment from the perspective of tax rates and tax forms (specific tax and ad valorem tax). The results show that adjusting the tax system and the tax rate has important implications for energy conservation while having minor impacts on the output of other industries. The impact of an increasing energy tax on the energy demand is greater than the impact on sectoral output, indicating that energy efficiency will be increased to some extent. The CO 2 reduction will increase over time when an ad valorem tax is implemented on enterprises. We found that ad valorem tax has greater elasticity of economic output, energy demand, and CO 2 emission reduction. The results support the direction of China’s resource tax reform. However, we argue that it is better to increase the tax rate relatively and relax the control on energy prices so that energy efficiency will increase

Economic, energy and environmental impact of coal-to-electricity policy in China: A dynamic recursive CGE study

Abstract(#br)In north China, many rural and urban residents still use coal for heating in winter. However, such method would result in a large amount of GHG emissions. China intends to change the heating method of its citizens from coal burning to electric heating to save energy, reduce emissions, which is called the project of Coal to Electricity (CtE). A dynamic recursive computable general equilibrium model is applied to analyze the real effect if the project is widely promoted in China. We found that CtE project is effective in reducing SO 2 and NO x emission than CO 2 emissions. In essence, energy substitution is not energy-saving, so the contribution to CO 2 reduction of CtE project is limited. There is a certain co-benefit between CtE project and other energy saving policies (new energy generation, improving heating efficiency and building energy saving etc.). The findings indicate that single CtE policy can only bring better air quality. However, with other energy saving policies, CtE project can not only bring NO x and SO 2 reduction, but also lead to less CO 2 emissions and more convenient life. Multiple emission reduction measures are suggested to maximize the reduction effects of these policies

Economic, energy and environmental impact of coal-to-electricity policy in China: A dynamic recursive CGE study.

In north China, many rural and urban residents still use coal for heating in winter. However, such method would result in a large amount of GHG emissions. China intends to change the heating method of its citizens from coal burning to electric heating to save energy, reduce emissions, which is called the project of Coal to Electricity (CtE). A dynamic recursive computable general equilibrium model is applied to analyze the real effect if the project is widely promoted in China. We found that CtE project is effective in reducing SO2 and NOx emission than CO2 emissions. In essence, energy substitution is not energy-saving, so the contribution to CO2 reduction of CtE project is limited. There is a certain co-benefit between CtE project and other energy saving policies (new energy generation, improving heating efficiency and building energy saving etc.). The findings indicate that single CtE policy can only bring better air quality. However, with other energy saving policies, CtE project can not only bring NOx and SO2 reduction, but also lead to less CO2 emissions and more convenient life. Multiple emission reduction measures are suggested to maximize the reduction effects of these policies

ViT-Calibrator: Decision Stream Calibration for Vision Transformer

A surge of interest has emerged in utilizing Transformers in diverse vision tasks owing to its formidable performance. However, existing approaches primarily focus on optimizing internal model architecture designs that often entail significant trial and error with high burdens. In this work, we propose a new paradigm dubbed Decision Stream Calibration that boosts the performance of general Vision Transformers. To achieve this, we shed light on the information propagation mechanism in the learning procedure by exploring the correlation between different tokens and the relevance coefficient of multiple dimensions. Upon further analysis, it was discovered that 1) the final decision is associated with tokens of foreground targets, while token features of foreground target will be transmitted into the next layer as much as possible, and the useless token features of background area will be eliminated gradually in the forward propagation. 2) Each category is solely associated with specific sparse dimensions in the tokens. Based on the discoveries mentioned above, we designed a two-stage calibration scheme, namely ViT-Calibrator, including token propagation calibration stage and dimension propagation calibration stage. Extensive experiments on commonly used datasets show that the proposed approach can achieve promising results. The source codes are given in the supplements.Comment: 14pages, 12 figure

Innovative breakthroughs facilitated by single-cell multi-omics: manipulating natural killer cell functionality correlates with a novel subcategory of melanoma cells

BackgroundMelanoma is typically regarded as the most dangerous form of skin cancer. Although surgical removal of in situ lesions can be used to effectively treat metastatic disease, this condition is still difficult to cure. Melanoma cells are removed in great part due to the action of natural killer (NK) and T cells on the immune system. Still, not much is known about how the activity of NK cell-related pathways changes in melanoma tissue. Thus, we performed a single-cell multi-omics analysis on human melanoma cells in this study to explore the modulation of NK cell activity.Materials and methodsCells in which mitochondrial genes comprised > 20% of the total number of expressed genes were removed. Gene ontology (GO), gene set enrichment analysis (GSEA), gene set variation analysis (GSVA), and AUCcell analysis of differentially expressed genes (DEGs) in melanoma subtypes were performed. The CellChat package was used to predict cell–cell contact between NK cell and melanoma cell subtypes. Monocle program analyzed the pseudotime trajectories of melanoma cells. In addition, CytoTRACE was used to determine the recommended time order of melanoma cells. InferCNV was utilized to calculate the CNV level of melanoma cell subtypes. Python package pySCENIC was used to assess the enrichment of transcription factors and the activity of regulons in melanoma cell subtypes. Furthermore, the cell function experiment was used to confirm the function of TBX21 in both A375 and WM-115 melanoma cell lines.ResultsFollowing batch effect correction, 26,161 cells were separated into 28 clusters and designated as melanoma cells, neural cells, fibroblasts, endothelial cells, NK cells, CD4+ T cells, CD8+ T cells, B cells, plasma cells, monocytes and macrophages, and dendritic cells. A total of 10137 melanoma cells were further grouped into seven subtypes, i.e., C0 Melanoma BIRC7, C1 Melanoma CDH19, C2 Melanoma EDNRB, C3 Melanoma BIRC5, C4 Melanoma CORO1A, C5 Melanoma MAGEA4, and C6 Melanoma GJB2. The results of AUCell, GSEA, and GSVA suggested that C4 Melanoma CORO1A may be more sensitive to NK and T cells through positive regulation of NK and T cell-mediated immunity, while other subtypes of melanoma may be more resistant to NK cells. This suggests that the intratumor heterogeneity (ITH) of melanoma-induced activity and the difference in NK cell-mediated cytotoxicity may have caused NK cell defects. Transcription factor enrichment analysis indicated that TBX21 was the most important TF in C4 Melanoma CORO1A and was also associated with M1 modules. In vitro experiments further showed that TBX21 knockdown dramatically decreases melanoma cells’ proliferation, invasion, and migration.ConclusionThe differences in NK and T cell-mediated immunity and cytotoxicity between C4 Melanoma CORO1A and other melanoma cell subtypes may offer a new perspective on the ITH of melanoma-induced metastatic activity. In addition, the protective factors of skin melanoma, STAT1, IRF1, and FLI1, may modulate melanoma cell responses to NK or T cells