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| 1 | Pantograph-catenary electrical contact system of high-speed railways:recent progress,challenges,and outlooks显示文摘As the unique power entrance,the pantograph-catenary electrical contact system maintains the efficiency and reliability of power transmission for the high-speed train.Along with the fast development of high-speed railways all over the world,some commercialized lines are built for covering the remote places under harsh environment,especially in China;these environmental elements including wind,sand,rain,thunder,ice and snow need to be considered during the design of the pantograph-catenary system.The pantograph-catenary system includes the pantograph,the contact wire and the interface—pantograph slide.As the key component,this pantograph slide plays a critical role in reliable power transmission under dynamic condition.The fundamental material characteristics of the pantograph slide and contact wire such as electrical conductivity,impact resistance,wear resistance,etc.,directly determine the sliding electrical contact performance of the pantograph-catenary system;meanwhile,different detection methods of the pantograph-catenary system are crucial for the reliability of service and maintenance.In addition,the challenges brought from extreme operational conditions are discussed,taking the Sichuan-Tibet Railway currently under construction as a special example with the high-altitude climate.The outlook for developing the ultra-high-speed train equipped with the novel pantograph-catenary system which can address the harsher operational environment is also involved.This paper has provided a comprehensive review of the high-speed railway pantograph-catenary systems,including its progress,challenges,outlooks in the history and future. | Guangning Wu Keliang Dong Zhilei Xu Song Xiao Wenfu Wei Huan Chen Jie Li Zhanglin Huang Jingwei Li Guoqiang Gao Guozheng Kang Chuanjun Tu Xingyi Huang | 2022 | Railway Engineering Science2022，30，4： | 5 |
| 2 | Crucial control measures to contain China's first Delta variant outbreak显示文摘The SARS-C oV-2 B.1.617.2(Delta) variant flared up in late May in Guangzhou,China.Transmission characteristics of Delta variant were analysed for 153 confirmed cases and two complete transmission chains with seven generations were fully presented.A rapid transmission occurred in five generations within10 days.The basic reproduction number(R_0) was 3.60(95% confidence interval:2.50-5.30).After redefining the concept of close contact,the proportion of confirmed cases discovered from close contacts increased from 43% to 100%.With the usage of a yellow health code,the potential exposed individuals were self-motivated to take a nucleic acid test and regained public access with a negative testing result.Facing the massive requirement of screening,novel facilities like makeshift inflatable laboratories were promptly set up as a vital supplement and 17 cases were found,with 1 pre-symptomatic.The dynamic adjustment of these three interventions resulted in the decline of Rt from 5.00 to 1.00 within 9 days.By breaking the transmission chain and eliminating the transmission source through extending the scope of the close-contact tracing,health-code usage and mass testing,the Guangzhou D elta epidemic was effectively contained. | Lei Luo Zifeng Yang Jingyi Liang Yu Ma Hui Wang Chitin Hon Mei Jiang Zhengshi Lin Wenda Guan Zhitong Mai Yongming Li Kailin Mai Zhiqi Zeng Chuanmeizi Tu Jian Song Bin Liu Yong Liu Jianfeng He Huiyuan Li Bosheng Li Hang Dong Yutian Miao Shujun Fan Lirui Fan Xingyi Liang Ke Li Chun Chen Huihong Deng Zhicong Yang Nanshan Zhong | 2022 | National Science Review2022，9，4： | 2 |
| 3 | Mollisols Properties and Changes in Ukraine and China显示文摘Soils are the foundation of civilizations and the basis for human food production.Mollisols in Ukraine and Northeast China are two out of the four major Mollisol regions in the world.The natural areas from which Mollisols developed are the prairies and steppes that experience temperate and freezing conditions.This review paper introduces the general climate,vegetation,and topography of Mollisols regions in Ukraine and Northeast China,analyzes their properties,including soil texture,soil organic matter content,soil bulk density,pH,cation exchange capacity and other chemical properties,and compares the property changes and management practices of Mollisols in relation to sustainable grain production. | Yuri S KRAVCHENKO ZHANG Xingyi LIU Xiaobing SONG Chunyu Richard M CRUSE | 2011 | Chinese Geographical Science2011，21，3： | 2 |
| 4 | A 12-month clinical survey of incidence and outcome of acute respiratory distress syndrome in Shanghai intensive care units显示文摘 | Yueming Lu Zhifang Song Xin Zhou Shaoguang Huang Duming Zhu Xingyi Yang C. Bai Bo Sun Roger Spragg Shanghai ARDS Study Group | 2004 | Intensive Care Medicine2004，，12： | 1 |
| 5 | New strategy for improving heating uniformity and insect mortality in radio frequency treated mung beans显示文摘Radio frequency(RF)heating is usually used to control insects while maintaining the quality of harvested grains.Different packaging conditions may influence RF heating uniformity,insecticidal efficacy,product quality,and energy efficiency.An RF unit was used for conducting thermal treatments to evaluate the heating uniformity,the mortality of Rhizopathy dominica,the main quality attributes of mung beans under four packaging conditions,and the energy efficiency.The results show that after the aluminum foil sheet was added at the top or bottom side of bags,the RF heating uniformity was improved.The mortality of Rhizopathy dominica in mung beans was 100%for vacuum-packaged bags added with aluminum sheets on the bottom side and ordinarily sealed bags.The fastest cooling rate was observed in vacuum-packaged bags with aluminum foil sheets added at the top side.The energy efficiency of the RF system for treating mung beans in Packaging A,B,C,and D were 54.8%,56.0%,53.6%,and 54.8%,respectively.The effective RF treatment protocol was developed using vacuum-packaged bags with aluminum sheets added at the bottom side,54℃hot air assisted RF treatment under an electrode gap of 13.5 cm for 5 min,holding for 6 min,and placing bags upward for cooling.The suitable packaging condition could be explored for developing practical RF disinfestation treatments. | Rui Li Xingyi Song Xiangyu Guan Bo Ni Yu Gao Lixia Hou Xiaoxi Kou Shaojin Wang | 2022 | International Journal of Agricultural and Biological Engineering2022，15，5： | 1 |
| 6 | Social media mining and visualization for point-o f-interest recommendation显示文摘With the rapid growth of location-based social networks(LBSNs), point-of-interest(POI) recommendation has become an important research problem. As one of the most representative social media platforms, Twitter provides various real-life information for POI recommendation in real time. Despite that POI recommendation has been actively studied, tweet images have not been well utilized for this research problem. State-of-the-art visual features like convolutional neural network(CNN) features have shown significant performance gains over the traditional bag-of-visual-words in unveiling the image's semantics. Unfortunately, they have not been employed for POI recommendation from social websites. Hence, how to make the most of tweet images to improve the performance of POI recommendation and visualization remains open. In this paper, we thoroughly study the impact of tweet images on POI recommendation for different POI categories using various visual features. A novel topic model called social media Twitter-latent Dirichlet allocation(SM-Twitter LDA) which jointly models five Twitter features,(i.e., text, image, location, timestamp and hashtag) is designed to discover POIs from the sheer amount of tweets. Moreover, each POI is visualized by representative images selected on three predefined criteria. Extensive experiments have been conducted on a real-life tweet dataset to verify the effectiveness of our method. | Ren Xingyi Song Meina E Haihong Song Junde | 2017 | The Journal of China Universities of Posts and Telecommunications2017，24，1： | 0 |
| 7 | Textual-geographical-social aware point-of-interest recommendation显示文摘The rapid development of location-based social networks(LBSNs) has provided an unprecedented opportunity for better location-based services through point-of-interest(POI) recommendation. POI recommendation is personalized, location-aware, and context depended. However, extreme sparsity of user-POI matrix creates a severe challenge. In this paper we propose a textual-geographical-social aware probabilistic matrix factorization method for POI recommendation. Our model is textual-geographical-social aware probabilistic matrix factorization called TGS-PMF, it exploits textual information, geographical information, social information, and incorporates these factors effectively. First, we exploit an aggregated latent Dirichlet allocation(LDA) model to learn the interest topics of users and infer the interest POIs by mining textual information associated with POIs and generate interest relevance score. Second, we propose a kernel estimation method with an adaptive bandwidth to model the geographical correlations and generate geographical relevance score. Third, we build social relevance through the power-law distribution of user social relations to generate social relevance score. Then, our exploit probabilistic matrix factorization model(PMF) to integrate the interest, geographical, social relevance scores for POI recommendation. Finally, we implement experiments on a real LBSN check-in dataset. Experimental results show that TGS-PMF achieves significantly superior recommendation quality compared to other state-of-the-art POI recommendation techniques. | Ren Xingyi Song Meina E Haihong Song Junde | 2016 | The Journal of China Universities of Posts and Telecommunications2016，23，6： | 0 |
| 8 | Application Research and Case Analysis of Green Technology in Building Engineering under the Direction of Energy Conservation Demands显示文摘With the rapid development of the economy,the scale of construction projects in China is gradually expanding.In terms of construction technology,continuous innovation is being made to meet the needs of sustainable development strategies,and green energy conservation technologies have emerged.It has a brand new design concept,and advocates for maximum energy conservation and environmental protection,fundamentally promoting the rational use of resources and space,and preventing the expansion of air and land pollution.First of all,a brief explanation is given on the current development status of green energy conservation technology in this paper.Secondly,through the introduction and analysis of energy conservation technologies and related building cases,the in-depth research on energy conservation measures of buildings is conducted.Finally,the prospects of green energy conservation technologies are proposed based on the current development status in China.This paper has certain reference value for its related engineering and theoretical research. | SONG Rui TIAN Juanjuan YANG Xin LI Xingyi | 2023 | Journal of Landscape Research2023，15，2： | 0 |
| 9 | Joint model of user check-in activities for point-of-interest recommendation显示文摘With the rapid development of location-based networks, point-of-interest(POI) recommendation has become an important means to help people discover interesting and attractive locations, especially when users travel out of town. However, because users only check-in interaction is highly sparse, which creates a big challenge for POI recommendation. To tackle this challenge, we propose a joint probabilistic generative model called geographical temporal social content popularity(GTSCP) to imitate user check-in activities in a process of decision making, which effectively integrates the geographical influence, temporal effect, social correlation, content information and popularity impact factors to overcome the data sparsity, especially for out-of-town users. Our proposed the GTSCP supports two recommendation scenarios in a joint model, i.e., home-town recommendation and out-of-town recommendation. Experimental results show that GTSCP achieves significantly superior recommendation quality compared to other state-of-the-art POI recommendation techniques. | Ren Xingyi Song Meina E Haihong Song Junde | 2016 | The Journal of China Universities of Posts and Telecommunications2016，23，4： | 0 |
| 10 | Wetting behavior of AgCu-4.5Ti filler reinforced by carbon nanotubes on C/C composite显示文摘The effect of Carbon Nanotubes(CNTs)content on the wettability of AgCu-4.5Ti+x CNTs(wt%)composite filler alloys on C/C composite was investigated.The results show that the added CNTs reacted with element Ti in the filler and produced the dispersed fine in situ synthesized TiC particles,which increased the consumption of element Ti and provided the nucleus for the growth of Ti-Cu compounds simultaneously.The above effects of introducing CNTs,inhibited the formation of Ti-Cu compounds,also changed the distribution of compounds,which dramatically influenced the interfacial microstructure and characteristics of wetting behavior.The increase of CNTs content refined and dispersed coarse Ti-Cu compounds,decreased the initial spreading temperature,and improved the wettability,but high content of CNTs(more than 0.3 wt%)decreased the wettability of the filler alloy.The wetting interfacial microstructure of corresponding composite filler alloys were analyzed by Scanning Electron Microscope(SEM),Energy Dispersive X-ray Spectrometer(EDS)and Transmission Electron Microscope(TEM),which consisted of TiC,TiCu,TiCu;and TiCu;compound.The typical wetting behavior of AgCu-4.5Ti+0.3wt%CNTs composite filler on C/C composite was divided into four stages.The effect mechanism of CNTs content on the wetting behavior was proposed. | Xingyi LI Ling LIU Yanyu SONG Duo LIU Shengpeng HU Xiaoguo SONG Jian CAO | 2021 | Chinese Journal of Aeronautics2021，34，12： | 0 |
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