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Study on the Influence of Lanzhou-Urumqi High-Speed Railway on Regional Accessibility and Economic Development
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作者 Lili Ma Xiaolong Han miao gong 《Proceedings of Business and Economic Studies》 2024年第2期22-31,共10页
The Lanzhou-Urumqi high-speed railway is an important part of the railway network connecting Gansu,Qinghai,and Xinjiang,and it is of far-reaching significance in facilitating China’s western development.An accessibil... The Lanzhou-Urumqi high-speed railway is an important part of the railway network connecting Gansu,Qinghai,and Xinjiang,and it is of far-reaching significance in facilitating China’s western development.An accessibility model and a double difference model were built to analyze the impact of the Lanzhou-Urumqi high-speed railway on regional accessibility and economic development of the areas along the line before(2012-2014)and after(2017-2019)its opening.The results show that the regional accessibility remains unchanged before and after the operation of this railway line.However,there is a spatial difference in improvement,that of central cities being better.The opening of the high-speed railway is conducive to driving the overall economic development of the region and promoting the comprehensive and coordinated development of regional economies. 展开更多
关键词 Lanzhou-Urumqi high-speed railway Regional economy Double difference model Accessibility model Empirical analysis
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Influence of pre-stretching on the tensile strength,fatigue properties and the in-plane anisotropy in Al-Cu-Li alloy AA2099 被引量:1
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作者 Xianghui Zhu Xusheng Yang +5 位作者 Weijiu Huang Weiyi Qiu Xin Wang Fei Guo Li Hu miao gong 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 2023年第14期249-259,共11页
The influence of pre-stretching prior to artificial aging on microstructure,tensile properties,and fatigue behavior of AA2099-T8 sheets was investigated.The results showed that increased pre-strain level from 1%to 6%r... The influence of pre-stretching prior to artificial aging on microstructure,tensile properties,and fatigue behavior of AA2099-T8 sheets was investigated.The results showed that increased pre-strain level from 1%to 6%resulted in a more uniform distribution and increasing density of the T_(1)phase.The localized plastic deformation during pre-stretching led to the formation of dense precipitation bands(DPBs)and precipitation free bands(T_(1)-PFBs)in the sheets with the 1%pre-strain.The non-uniform distribution of the T_(1)phase with T_(1)-PFBs and DPBs resulted in a decrement in elongation and a strong in-plane anisotropy of tensile properties.An appropriate level of pre-strain should be executed aiming to improve elongation and reduce the tensile anisotropy by promoting a uniform distribution of the T_(1)phase.In-plane anisotropy of yield strength due to the presence of DPBs and T_(1)-PFBs was quantitatively analyzed by the modified Hall-Petch formula.The results of the calculation for the modified model showed good agreement with the experiment.In addition,resistances of fatigue crack propagation(FCP)in the same orientation were gradually decreased with the increment of pre-strain due to the increment in yield strength and more uniform distribution of the T_(1)phase.For the in-plane anisotropy of FCP resistance,the main reasons were the development of rough fracture surfaces and the transgranular fracture modes in L-T orientation. 展开更多
关键词 Aluminum-lithium alloys PRECIPITATION Mechanical properties Fatigue crack propagation
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Hybrid machine learning and microstructure-based approach for modeling relationship between microstructure and hardness of AA2099 Al−Li alloy
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作者 Xiang-hui ZHU Xu-sheng YANG +3 位作者 Wei-jiu HUANG miao gong Xin WANG Meng-di LI 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS 2024年第11期3504-3520,共17页
A hybrid approach combining machine learning and microstructure analysis was proposed to investigate the relationship between microstructure and hardness of AA2099 Al−Li alloy through nano-indentation,X-ray diffractio... A hybrid approach combining machine learning and microstructure analysis was proposed to investigate the relationship between microstructure and hardness of AA2099 Al−Li alloy through nano-indentation,X-ray diffraction(XRD)and electron backscatter diffraction(EBSD)technologies.Random forest regression(RFR)model was employed to predict hardness based on microstructural features and uncover influential factors and their rankings.The results show that the increased hardness correlates with a smaller distance from indentation to grain boundary(D_(dis))or a shorter minimum grain axis(D_(min)),a lower Schmidt factor in friction stir weld direction(SF_(FD)),and higher sine values of the angle between{111}slip plane and surface(sinθ_(min)).D_(dis) and D_(min) emerge as pivotal determinants in hardness prediction.High-angle grain boundaries imped dislocation slip,thereby increasing hardness.Crystallographic orientation also significantly influences hardness,especially in the presence of T_(1) phases along{111}Al habit planes.This effect is attributable to the variation in encountered T_(1) variants during indenter loading.Consequently,the importance ranking of microstructural features shifts depending on T_(1) phase abundance:in samples with limited T_(1) phases,D_(dis) or D_(min)>SF_(FD)>sinθ_(min),while in samples with abundant T_(1) phases,D_(dis) or D_(min)>sinθ_(min)>SF_(FD). 展开更多
关键词 machine learning T_(1)phase hardness Al−Li alloy
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血液肿瘤相关生物标志物的电化学传感检测 被引量:2
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作者 宫苗 王晓英 王晓宁 《化学进展》 SCIE CAS CSCD 北大核心 2019年第6期894-905,共12页
血液肿瘤是一类严重危害人类健康的血液系统恶性疾病,主要累及骨髓、血液及淋巴组织。血液肿瘤相关生物标志物的定量检测是实现疾病精细化病理分型以实施靶向治疗进而改善预后的关键。本文对血液肿瘤相关生物标志物的种类、目前国内外... 血液肿瘤是一类严重危害人类健康的血液系统恶性疾病,主要累及骨髓、血液及淋巴组织。血液肿瘤相关生物标志物的定量检测是实现疾病精细化病理分型以实施靶向治疗进而改善预后的关键。本文对血液肿瘤相关生物标志物的种类、目前国内外常用的检测方法进行概述,重点阐述电化学生物传感器在检测血液肿瘤相关生物标志物方面的最新进展,并对血液肿瘤相关生物标志物电化学传感技术的未来发展方向提出展望,拟为其深入研究与应用提供参考。 展开更多
关键词 血液肿瘤 生物标志物 检测方法 电化学生物传感器
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