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| 1 | Silver sulfide leaching with a copper-thiosulfate solution in the absence of ammonia显示文摘Leaching from silver sulfide using a copper-thiosulfate solution in the absence of ammonia was investigated.It is found that silver sulfide could be effectively dissolved in the copper-thiosulfate system without ammonia.The effects of thiosulfate concentration,copper-to-thiosulfate ratio,agitation vigorousness,pH values,and dissolved gases on the leaching of silver sulfide with the copper-thiosulfate solution were studied.A maximum extraction of 95.1% was achieved with the 0.12 mol/L thiosulfate and the 0.048 mol/L copper sulfate.It is shown that copper-to-thiosulfate ratio is an important factor in silver sulfide dissolution and oxygen is not needed to leach silver sulfide,which leads to the instability of the leaching system at high copper-to-thiosulfate ratio.On the other hand,the silver extraction is not affected by the pulp pH values. | CUI Yiqi TONG Xiong Alejandro Lopez-Valdivieso | 2011 | Rare Metals2011，30，2： | 7 |
| 2 | Multi-label text classification model based on semantic embedding显示文摘Text classification means to assign a document to one or more classes or categories according to content. Text classification provides convenience for users to obtain data. Because of the polysemy of text data, multi-label classification can handle text data more comprehensively. Multi-label text classification become the key problem in the data mining. To improve the performances of multi-label text classification, semantic analysis is embedded into the classification model to complete label correlation analysis, and the structure, objective function and optimization strategy of this model is designed. Then, the convolution neural network(CNN) model based on semantic embedding is introduced. In the end, Zhihu dataset is used for evaluation. The result shows that this model outperforms the related work in terms of recall and area under curve(AUC) metrics. | Yan Danfeng Ke Nan Gu Chao Cui Jianfei Ding Yiqi | 2019 | The Journal of China Universities of Posts and Telecommunications2019，26，1： | 1 |
| 3 | Optimization of the Hot Pressing Process for Preparing Flax Fiber/PE Thermoplastic Composite显示文摘The hot pressing process parameters were optimized to prepare flax fiber reinforced polyethylene(PE)thermoplastic composite by the Taguchi method.The optimal hot pressing process parameters were determined to increase the tensile strength of the composite.The optimal parameters of the design include the following sections:hot pressing temperature,pressure,hot pressing time and coupling agent modification time.An L9(3*4)orthogonal matrix based on the Taguchi method was created.By means of analysis of signal-to-noise ratio and analysis of variance,the optimal hot pressing process parameters combination was found,compared to the average tensile strength in the nine design experiments,and the tensile strength was improved nearly 10%. | Yiqi Wang Guangpeng Cui Zhujian Shao Yongjie Bao Hang Gao | 2019 | Mechanical Engineering Science2019，1，1： | 0 |
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