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肺类癌的外科治疗及预后分析 被引量:1
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作者 张少伟 薛志强 +2 位作者 温佳新 王波 初向阳 《中国肺癌杂志》 CAS CSCD 北大核心 2019年第8期494-499,共6页
背景与目的肺类癌是一种少见的神经内分泌肿瘤,有关其预后因素的研究较少。本研究旨在探讨外科手术治疗肺类癌的疗效,并分析其预后影响因素。方法回顾2000年1月-2017年12月解放军总医院收治的肺类癌患者的临床资料。以Kaplan-Meier方法... 背景与目的肺类癌是一种少见的神经内分泌肿瘤,有关其预后因素的研究较少。本研究旨在探讨外科手术治疗肺类癌的疗效,并分析其预后影响因素。方法回顾2000年1月-2017年12月解放军总医院收治的肺类癌患者的临床资料。以Kaplan-Meier方法计算患者的生存率,比较不同因素对预后的影响,进行单因素分析,并采用Log-rank检验;通过Cox比例风险模型进行多因素分析。结果 98例肺类癌患者行外科手术治疗,其中典型类癌和不典型类癌者分别41例、57例。肺类癌患者的5年及10年总体生存率分别为80.0%、73.6%。单因素分析显示,年龄(P=0.000,1)、吸烟(P=0.005)、病理亚型(P<0.000,1)、肿瘤分期(P<0.000,1)、T分期(P=0.000,2)是影响预后的因素。多因素分析显示,年龄(P=0.005)、肿瘤分期(P=0.017)是预后的独立影响因素。结论行外科手术治疗的肺类癌患者总体预后较好。年龄、肿瘤分期是影响肺类癌术后远期生存的独立危险因素。 展开更多
关键词 肺肿瘤 类癌 手术 预后
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EVA2.0:Investigating Open-domain Chinese Dialogue Systems with Large-scale Pre-training 被引量:2
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作者 Yuxian Gu jiaxin wen +8 位作者 Hao Sun Yi Song Pei Ke Chujie Zheng Zheng Zhang Jianzhu Yao Lei Liu Xiaoyan Zhu Minlie Huang 《Machine Intelligence Research》 EI CSCD 2023年第2期207-219,共13页
Large-scale pre-training has shown remarkable performance in building open-domain dialogue systems.However,previous works mainly focus on showing and evaluating the conversational performance of the released dialogue ... Large-scale pre-training has shown remarkable performance in building open-domain dialogue systems.However,previous works mainly focus on showing and evaluating the conversational performance of the released dialogue model,ignoring the discussion of some key factors towards a powerful human-like chatbot,especially in Chinese scenarios.In this paper,we conduct extensive experiments to investigate these under-explored factors,including data quality control,model architecture designs,training approaches,and decoding strategies.We propose EVA2.0,a large-scale pre-trained open-domain Chinese dialogue model with 2.8 billion parameters,and will make our models and codes publicly available.Automatic and human evaluations show that EVA2.0 significantly outperforms other open-source counterparts.We also discuss the limitations of this work by presenting some failure cases and pose some future research directions on large-scale Chinese open-domain dialogue systems. 展开更多
关键词 Natural language processing deep learning(DL) large-scale pre-training dialogue systems Chinese open-domain conversational model
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A non-nucleophilic electrolyte based on all-inorganic salts with conditioning-free characteristic for rechargeable magnesium batteries
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作者 jiaxin wen Jingdong Yang +5 位作者 Xueting Huang Xin Zhang Guangsheng Huang Jingfeng Wang Lingjie Li Fusheng Pan 《Journal of Magnesium and Alloys》 SCIE EI CAS 2024年第8期3357-3369,共13页
Conditioning-free electrolytes with high reversibility of Mg plating/stripping are of vital importance for the commercialization of the superior rechargeable magnesium batteries(RMBs).In the present work,a non-nucleop... Conditioning-free electrolytes with high reversibility of Mg plating/stripping are of vital importance for the commercialization of the superior rechargeable magnesium batteries(RMBs).In the present work,a non-nucleophilic electrolyte(denoted as MLCH)based on all-inorganic salts of MgCl_(2),LiCl and CrCl_(3)for RMBs is prepared by a straightforward one-step reaction.As a result,the MLCH electrolyte shows the noticeable performance of high ionic conductivity(3.40 mS cm^(−1)),low overpotential(∼46 mV vs Mg/Mg^(2+)),high Coulombic efficiency(∼93%),high anodic stability(SS,∼2.56 V vs Mg/Mg^(2+))and long-term(more than 500 h)cycling stability,especially the conditioning-free characteristic.The main equilibrium species in the MLCH electrolyte are confirmed to be the tetracoordinated anions of[LiCl2(THF)2]−and solvated dimers of[Mg_(2)(μ-Cl)3(THF)6]+.The addition of LiCl can assist the dissolution of MgCl_(2)and activation of the electrode/electrolyte interface,resulting in a superior Mg plating/stripping efficiency.The synergistic effect of LiCl,CrCl_(3),a small amount of HpMS and the absence of polymerization THF enable the conditioning-free characteristic of the MLCH electrolyte.Moreover,the MLCH electrolyte exhibits decent compatibility with the cathodic materials of CuS.The Mg/CuS full cell using the MLCH electrolyte presents a discharge specific capacity of 215 mAh g^(−1)at 0.1 C and the capacity can retain∼72%after 40 cycles.Notably,the MLCH electrolyte has other superiorities such as the broad sources of materials,low-cost and easy-preparation,leading to the potential prospect of commercial application. 展开更多
关键词 Rechargeable magnesium batteries Non-nucleophilic electrolyte All-inorganic salt Conditioning-free Mg plating/stripping
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Effects of different backbone binders on the characteristics of zirconia parts using wax-based binder system via ceramic injection molding 被引量:4
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作者 jiaxin wen Zhipeng XIE +1 位作者 wenbin CAO Xianfeng YANG 《Journal of Advanced Ceramics》 CSCD 2016年第4期321-328,共8页
In this work,various backbone binders were used in wax-based binder system to formulate zirconia parts by ceramic injection molding (CIM).The effect of different backbone binders on the molding,debinding,and sintering... In this work,various backbone binders were used in wax-based binder system to formulate zirconia parts by ceramic injection molding (CIM).The effect of different backbone binders on the molding,debinding,and sintering behaviors was investigated.After blending process,the feedstock using multi-polymer components exhibited more homogeneous structure compared with that using the mono-polymer ones due to the synergistic effect of multi-polymers.During solvent debinding,some defects such as 'slumping' and 'peeling' appeared in the parts containing ethylene-vinyl acetate copolymer (EVA),but they were not found in the parts with other thermal polymers.Also,as for the parts after sintering,the one using low density polyethylene (LDPE) and high density polyethylene (HDPE) as backbone binders presented a more uniform microstructure with finer zirconia grains among all the investigated compositions,and thus obtained the highest flexural strength (~949 MPa) and relative density (~98.9%). 展开更多
关键词 ceramic injection molding (CIM) ZRO2 backbone binders solvent debinding sintering
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