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| 1 | Effect of 1,2,4-triazole on galvanic corrosion between cobalt and copper in CMP based alkaline slurry显示文摘Cobalt has become a new type of barrier material with its unique advantages since the copper-interconnects in the great-large scale integrated circuits(GLSI)into 10 nm and below technical nodes,but cobalt and copper have severe galvanic corrosion during chemical–mechanical flattening.The effect of 1,2,4-triazole on Co/Cu galvanic corrosion in alkaline slurry and the control of rate selectivity of copper and cobalt were investigated in this work.The results of electrochemical experiments and polishing experiments had indicated that a certain concentration of 1,2,4-triazole could form a layer of insoluble and dense passive film on the surface of cobalt and copper,which reduced the corrosion potential difference between cobalt and copper.Meantime,the removal rate of cobalt and copper could be effectively controlled according to demand during the CMP process.When the study optimized slurry was composed of 0.5 wt%colloidal silica,0.1%vol.hydrogen peroxide,0.05 wt%FA/O,345 ppm1,2,4-triazole,cobalt had higher corrosion potential than copper and the galvanic corrosion could be reduced effectively when the corrosion potential difference between them decreased to 1 mV and the galvanic corrosion current density reached 0.02 nMeanwhile,the removal rate of Co was 62.396 nm/min,the removal rate of Cu was 47.328 nm/min,so that the removal rate ratio of cobalt and copper was 1.32:1,which was a good amendment to the dishing pits.The contact potential corrosion of Co/Cu was very weak,which could be better for meeting the requirements of the barrier CMP. | Lei Fu Yuling Liu Chenwei Wang Linan Han | 2018 | Journal of Semiconductors2018,39,4: | 4 |
| 2 | The antioxidative and immunostimulating properties of d -glucosamine显示文摘 | Yang Yan Liu Wanshun Han Baoqin Wang Changhong Fu Chenwei Liu Bing Chen Liehuan | 2006 | International Immunopharmacology2006,,1: | 1 |
| 3 | Synthesis of two new thiazolidines and their hepatoprotective effects显示文摘Two new 2-substituted thiazolidine-4(R)-carboxylic acids (TCAs), 2-glusosaminal-TCA (GlcNH2Cys) and 2-N-acetyl-glucosaminal-TCA (GlcNAcCys), were synthesized. Their protective effects against liver toxicity induced by acetaminophen (APAP) were investigated in a mice model. The results demonstrate that administration of TCAs (i.p., 800 mg/kg) 30 min after APAP challenge efficiently decrease ALT, AST, and LDH levels in liver. GlcNAcCys shows the best protective effects, decreasing ALT, AST and LDH levels to 63%, 18.4% and 37% of the APAP group respectively. Comparison with the control showed that APAP greatly decreases total sulfhydryl (T-SH) levels (43%), non-protein bound sulfhydryl (NP-SH) levels (50%) and total antioxidative capabilities (57%) in the liver 24 hr after challenge. TCAs treatments 30 min after APAP challenge significantly elevate sulfhydryl levels and total antioxidative capabilities. APAP administration also markedly (P<0.05) increases liver lipid peroxidation to 1.65 and 1.17 times that of the control 4 hr and 24 hr after APAP administration respectively. TCAs treatments can inhibit lipid peroxidation as measured by decreased malondialdehyde (MDA) contents in liver. The histopathological results also further confirm the hepatoprotective effects of TCAs. In conclusion, our data show that TCAs, GlcNAcCys particularly, have hepatoprotective and antioxidant effects. | 杨艳 Liu Wanshun Han Baoqin Fu Chenwei Sun Haizhou | 2005 | High Technology Letters2005,11,4: | 1 |
| 4 | Electroluminescence from ITO/SiO 2 /Ta 2 O 5 /Al multiple-layer structure excited by hot electrons显示文摘 | Jiaming Sun Guozhu Zhong Xiwu Fan Guozhu Fu Chenwei Zheng | 1997 | Journal of Non-Crystalline Solids1997,,2: | 1 |
| 5 | Good pregnancy prognosis for a woman with panhypopituitarism显示文摘 | Fu Chenwei Liu Juntao Yang Jianqiu Sun Zhenyi Yu Xin | 2014 | Chinese Medical Journal2014,,13: | 0 |
| 6 | A survey of automated International Classification of Diseases coding:development,challenges,and applications显示文摘The International Classification of Diseases(ICD)is an international standard and tool for epidemiological in-vestigation,health management,and clinical diagnosis with a fundamental role in intelligent medical care.The assignment of ICD codes to health-related documents has become a focus of academic research,and numerous studies have developed the process of ICD coding from manual to automated work.In this survey,we review the developmental history of this task in recent decades in depth,from the rules-based stage,through the traditional machine learning stage,to the neural-network-based stage.Various methods have been introduced to solve this problem by using different techniques,and we report a performance comparison of different methods on the pub-licly available Medical Information Mart for Intensive Care dataset.Next,we summarize four major challenges of this task:(1)the large label space,(2)the unbalanced label distribution,(3)the long text of documents,and(4)the interpretability of coding.Various solutions that have been proposed to solve these problems are analyzed.Further,we discuss the applications of ICD coding,from mortality statistics to payments based on disease-related groups and hospital performance management.In addition,we discuss different ways of considering and evaluat-ing this task,and how it has been transformed into a learnable problem.We also provide details of the commonly used datasets.Overall,this survey aims to provide a reference and possible prospective directions for follow-up research work. | Chenwei Yan Xiangling Fu Xien Liu Yuanqiu Zhang Yue Gao Ji Wu Qiang Li | 2022 | Intelligent Medicine2022,2,3: | 0 |