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Akademický článek

Effect of direct coal liquefaction residue on the properties of fine blue-coke-based activated coke

Autor: Tian Yuhong, Ren Qiaoxia, Bai Xueru, Liu Bailong, Jing Xiande, Lan Xinzhe

Publikováno v: Green Processing and Synthesis, Vol 11, Iss 1, Pp 396-403 (2022)

Activated coke was obtained by CO2 activation with disused fine blue-coke serving as the main raw material and direct coal liquefaction residue (DCLR) as binder. The effect of the dosage and activation temperature of DCLR on the compressive strength

Externí odkaz: https://doaj.org/article/b51751d42e494fe5aa2fc15be92687c2

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Akademický článek

Sustainable utilization of a converter slagging agent prepared by converter precipitator dust and oxide scale

Autor: Liu Bailong, Zhang Zhaohui, Sun Longxin, Yang Zhenghua, Feng Lu

Publikováno v: Green Processing and Synthesis, Vol 9, Iss 1, Pp 664-674 (2020)

A converter slagging agent was prepared using converter precipitator dust and oxide scale as raw materials and bentonite, calcium oxide, and soluble glass as binders. The influence of different binders on the strength of the converter slagging agent

Externí odkaz: https://doaj.org/article/29cf67695ee84f30a17e16b900324556

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Akademický článek

An electrochemical method to investigate the effects of compound composition on gold dissolution in thiosulfate solution

Autor: Zhang Zhaohui, Liu Bailong, Wu Mei, Sun Longxin

Publikováno v: Green Processing and Synthesis, Vol 9, Iss 1, Pp 496-502 (2020)

The electrochemical behavior of gold dissolution in the Cu2+–NH3–S2O32−–EDTA solution has been investigated in detail by deriving and analyzing the Tafel polarization curve, as this method is currently widely implemented for the electrode cor

Externí odkaz: https://doaj.org/article/8d202482ea384622b6217558af17f335

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Report

Transport-Hub-Aware Spatial-Temporal Adaptive Graph Transformer for Traffic Flow Prediction

Autor: Xu, Xiao, Zhang, Lei, Liu, Bailong, Liang, Zhizhen, Zhang, Xuefei

As a core technology of Intelligent Transportation System (ITS), traffic flow prediction has a wide range of applications. Traffic flow data are spatial-temporal, which are not only correlated to spatial locations in road networks, but also vary with

Externí odkaz: http://arxiv.org/abs/2310.08328