Green development level assessment and obstacle analysis of China's coal-resource-based regions.

Coal is the main source of energy in China, however, in the context of carbon neutrality, how coal-resource-based regions can not only undertake the national supply of terminal energy and industrial raw materials, but also achieve regional green development is an important issue. In this paper, first, we constructed a green development indicator system for coal-resource-based regions named the green development indicator system of coal-resource-based regions (GDISCR), which could coordinate the relationship among the economy, energy, and environment when evaluating the green development level. Second, we proposed a new evaluation model named dynamic spatial TOPSIS, which comprehensively considered the spatial differences of research subjects and the differences over time in the evaluation process.

Evaluation of carbon neutrality capacity based on a novel comprehensive model.

The Chinese government actively participates in global climate governance and has proposed to achieve the goal of carbon neutrality by 2060. Due to large differences in regional development, local governments need to comprehend their own carbon neutrality status and then scientifically plan a path to achieve carbon neutrality. In this study, we constructed a new carbon neutrality capacity evaluation indicator system named CNCIS, which can dynamically reflect the balance of energy, economy and environment in the process of reducing carbon emissions.

A Novel Detection Framework About Conditions of Wearing Face Mask for Helping Control the Spread of COVID-19.

Properly wearing a face mask has become an effective way to limit the COVID-19 transmission. In this work, we target at detecting the fine-grained wearing state of face mask: face without mask, face with wrong mask, face with correct mask. This task has two main challenging points: 1) absence of practical datasets, and 2) small intra-class distance and large inter-class distance.

VFS-based OFSP model for groundwater pollution study of domestic waste landfill.

The groundwater quality is essential for high quality of life and social development. Thus, the importance and necessity of the accurate and rigorous requirements for contaminated groundwater assessment has increasingly attracted engineers' and researchers' attentions. In order to improve the precision and robustness of the groundwater quality evaluation of domestic waste landfills, based on the variable fuzzy set (VFS) pair and the optimized N.

A Novel Method in Surface Water Quality Assessment Based on Improved Variable Fuzzy Set Pair Analysis.

In the case of surface water pollution, it is important and necessary to accurately assess the level of contaminated water and ensure the safety of drinking water for people in disaster areas during floods. However, for the assessment of the strict requirements of drinking water, traditional assessment methods still have some limitations, such as low precision and rationality. In order to overcome these limitations, in the light of the theory of set pair analysis and variable fuzzy set, we propose an improved variable fuzzy set pair analysis method (IVFSPA), which combines the analysis framework of variable fuzzy set and set pair analysis, and has made some improvements to the fusion architecture.

Optimizing the performance of photocatalytic H generation for ZnNbO synthesized by a two-step hydrothermal method.

Semiconductor-based photocatalytic H generation is a promising technique and the development of efficient photocatalysts has attracted great attention. Columbite-ZnNbO is a wide-bandgap semiconductor capable of photocatalytic water splitting. Here we employed a two-step hydrothermal method to first dissolve NbO with a highly basic aqueous solution and further react it with Zn to form nanosized ZnNbO.