Zuozheng Lian¹, Hong Zhao^2,*, Qianjun Zhang¹, Haizhen Wang¹, E. Erdun³

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1515-1528, 2022, DOI:10.32604/cmc.2022.024779

Abstract For scanning electron microscopes with high resolution and a strong electric field, biomass materials under observation are prone to radiation damage from the electron beam. This results in blurred or non-viable images, which affect further observation of material microscopic morphology and characterization. Restoring blurred images to their original sharpness is still a challenging problem in image processing. Traditional methods can't effectively separate image context dependency and texture information, affect the effect of image enhancement and deblurring, and are prone to gradient disappearance during model training, resulting in great difficulty in model training. In this paper, we propose the use of… More >

Xianjun Wang¹, Junzhen Di^1,*, Yanrong Dong¹, Yu Yang¹, Bing Liang², Fankang Meng¹, Tingting Wang¹, Wenbo An¹, Zengxin Li³, Jianzhi Guo³

Journal of Renewable Materials, Vol.9, No.1, pp. 163-177, 2021, DOI:10.32604/jrm.2021.011678

Abstract

The study is aimed at the problem of high content of Cr⁶⁺, Cr³⁺ and SO₄^2– is high and low pH value in acid mine drainage (AMD). Moreover, treatment of AMD by sulfate reducing bacteria (SRB) requires the addition of carbon source, while the treating effectiveness is not good enough on its own. The sugarcane slag, the corn cob and the sunflower straw were selected as the SRB carbon source cooperating with iron scrap to construct the dynamic columns 1, 2 and 3. The mechanism of removing Cr⁶⁺, Cr³⁺, SO₄^2– and H⁺ and the regularity of sustained… More >