Recycling solar-grade silicon from end-of-life photovoltaic modules by Al-Si solvent refining.

The development of the solar market has been fast in the past decades, and the number of photovoltaic module installations is large. The photovoltaic modules have a lifetime of about 25 years and need recovery after that. The aluminium-back surface field (Al-BSF) module is the first kind of large-scale installed module and will come to its end of life in the next few years.

Facial image inpainting for big data using an effective attention mechanism and a convolutional neural network.

Big data facial image is an important identity information for people. However, facial image inpainting using existing deep learning methods has some problems such as insufficient feature mining and incomplete semantic expression, leading to output image artifacts or fuzzy textures. Therefore, it is of practical significance to study how to effectively restore an incomplete facial image.

The relationship between social support and Internet addiction among Chinese college freshmen: A mediated moderation model.

Purpose: Internet addiction has become a worldwide mental health problem, and this problem is particularly prominent in China. Although current studies have shown that social support is closely related to Internet addiction, the mechanism of the relationship between the two is not clear at present. This study aimed to find out the influencing factors and the mechanism of Internet addiction among college freshmen, and to form scientific prevention and intervention plan on this basis.

[Advances of miRNA-mediated regulatory roles in plant-microbe interaction].

There are many bidirectional communication and crosstalk between microbes and host plants. The plant-pathogen interaction directly affects the survival of host plants, while the interaction between plants and their probiotics benefits both. Plant miRNA responds quickly to pathogenic or beneficial microbes when they enter the plant tissues, while microbes also produce miRNA-like RNA (milRNA) to affect plant health.

A full-coverage estimation of PM concentrations using a hybrid XGBoost-WD model and WRF-simulated meteorological fields in the Yangtze River Delta Urban Agglomeration, China.

In spite of the state-of-the-art performances of machine learning in the PM estimation, the high-value PM underestimation and non-random aerosol optical depth (AOD) missing are still huge obstacles. By incorporating wavelet decomposition (WD) into the extreme gradient boosting (XGBoost), a hybrid XGBoost-WD model was established to obtain the full-coverage PM estimation at 3-km spatial resolution in the Yangtze River Delta Urban Agglomeration (YRDUA). In this study, 3-km-resolution meteorological fields simulated by WRF along with AOD derived from Moderate Resolution Imaging Spectroradiometer (MODIS) were served as explanatory variables.

Spatiotemporal characteristics of PM concentration in the Yangtze River Delta urban agglomeration, China on the application of big data and wavelet analysis.

PM pollution has been one of the main environmental issues of concern for the Yangtze River Delta Urban Agglomeration (YRDUA) during the recent decade. In this paper, allied with big data and wavelet analysis, spatiotemporal variations of PM and its influencing factors (air pollutants and meteorological factors) are studied based on hourly concentrations of PM from 2015 to 2018 in the YRDUA. Results showed that PM presented a step-shaped decline from northwest to southeast in space and significant multi-scale temporal variations in time.

Combining Multi-Source Remotely Sensed Data and a Process-Based Model for Forest Aboveground Biomass Updating.

Monitoring and understanding the spatio-temporal variations of forest aboveground biomass (AGB) is a key basis to quantitatively assess the carbon sequestration capacity of a forest ecosystem. To map and update forest AGB in the Greater Khingan Mountains (GKM) of China, this work proposes a physical-based approach. Based on the baseline forest AGB from Landsat Enhanced Thematic Mapper Plus (ETM+) images in 2008, we dynamically updated the annual forest AGB from 2009 to 2012 by adding the annual AGB increment (ABI) obtained from the simulated daily and annual net primary productivity (NPP) using the Boreal Ecosystem Productivity Simulator (BEPS) model.