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| 1 | Reinforcement effect of fiber and deoiled asphalt on high viscosity rubber/SBS modified asphalt mortar显示文摘In this paper we investigate the reinforcement mechanism of high viscosity rubber/SBS modified asphalt mortar mixed with fiber(mineral, lignin or carbon fiber) and deoiled asphalt(DOA). The softening point, penetration and viscosity tests were conducted to characterize the engineering properties of asphalt-fiber mortar. The microstructure of fiber was observed using scanning electron microscopy(SEM), and the results indicated that fiber can effectively improve the toughness of asphalt matrix through forming a spatial network structure, and then adhesion and stabilization of asphalt binder. The cone penetration test was designed to study the rheological property of fiber modified asphalt. The results indicated that the reinforcement effect increased with fibers and DOA fraction increasing to a certain threshold, and the optimal fiber content was dependent on the fiber type and its length. Fiber content and filler-asphalt ratio had significant effects on the softening point, penetration, viscosity and cone penetration of asphalt mortar. | Wu Mengmeng Li Rui Zhang Yuzhen Wei Jianming Lv Yuchao Ding Xuemei | 2014 | Petroleum Science2014，11，3： | 8 |
| 2 | Enhanced voltage distribution and breakdown strength performances of oil‐paper composite insulation by adding TiO_(2)nanoparticles显示文摘Oil-paper composite insulation(OPCI)is used as the main insulation material in the converter transformer.However,the dielectric properties of insulating oil and oil‐impregnated paper are markedly mismatched under direct current(DC)voltage,resulting in an unbalanced distribution of voltage,which is considered to be a major cause of large insulation margin but frequent failures.Therefore,it is necessary to adjust the voltage distribution in OPCI to enhance its breakdown strength.In this work,surface‐treated TiO_(2) nanoparticles were employed to modify OPCI.The polarisation current tests revealed that by changing the additive amount of nano-particles,the polarisation intensities of both oil and oil‐impregnated paper could be adjusted.Based on this,a model taking relaxation polarisations into full consideration was established to analyse the voltage distribution in OPCI and predict the optimal concentration.The prepared OPCI with the concentration of 0.02 g/L has desired balanced voltage distribution due to the influence of nanoparticles on interface charge,and therefore high breakdown strengths under both DC voltage and polarity reversal voltage,which can be increased by 22.6%at most.This work puts forward a novel idea to improve insulation property of OPCI and provides a reference for broader application of nanomaterial in power equipment. | Meng Huang Yupeng Ying Baixin Liu Yuzhen Lv Bo Qi Chengrong Li | 2021 | High Voltage2021，6，1： | 4 |
| 3 | Single-crystal star-like zinc oxide: synthesis, characterization and growth mechanism显示文摘A novel star-like single-crystal ZnO structure was synthesized by a simple solvothermal method. The as-prepared products were characterized by XRD, SEM and TEM. The star-like ZnO, which shows sixfold symmetry, was constructed by six uniform arms distributing symmetrically around the [0001] zone axis. It is also found that the arms are not perpendicular to the [0001] zone axis and each arm is grown at a certain angle with the [0001] direction. CBED pattern and corresponding simulation demonstrate that the convex part of the star-like ZnO is O-terminated (000-1) plane and the concave part is Zn-terminated (0001) plane. H2S plays a crucial role in the synthesis process. The anisotropic growth habit along [0001] and [000-1] results in the formation of star-like structure. | WANG Qingxiao YOU Liping Zhang Xinzheng WANG Rongming LV Yuzhen GUO Lin | 2006 | Rare Metals2006，25，z2： | 1 |
| 4 | Self-Healing All-in-One Energy Storage for Flexible Self-Powering Ammonia Smartsensors显示文摘Self-healable and flexible all-in-one self-powering smartsensing devices have recently attracted great attention.Herein,a flexible all-in-one solid-state electronic system of polyvinyl alcohol(PVA)hydrogel-based supercapacitors for self-powering ammonia smartsensors has been fabricated.Self-healing supercapacitors are prepared by integrating polypyrrole(PPy)and boron crosslinked PVA/KCl hydrogel as a sandwich configuration,exhibiting large specific capacitance of 244.81 mF cm^(-2)at 0.47 mA cm^(-2),and good charging/discharging stability of 2000 cycles,while ammonia sensors are realized by a SnO_(2)/PPy-modified conductive PVA hydrogel film,demonstrating an excellent sensing behavior toward NH_(3) vapor under 50 ppb–500 ppm.As a result,selfhealing supercapacitors could well store energy and then self-power sensing unit for remotely real-time detection via a smartphone,acquiring high flexibility of energy-sensing system.With attractive biocompatibility and selfhealing performance toward various environment,this all-in-one flexible energy-smartsensor system would pave the way to novel fabrication process in realization of wearable self-healing smart devices. | Hongting Ma Fengjuan Lv Liuxue Shen Kaizhou Yang Yu Jiang Junlin Ma Xiaodong Geng Tongrui Sun Yuzhen Pan Zhuang Xie Mianqi Xue Nan Zhu | 2022 | Energy & Environmental Materials2022，5，3： | 0 |
| 5 | NDRG1 promotes endothelial dysfunction and hypoxia-induced pulmonary hypertension by targeting TAF15显示文摘Background:Pulmonary hypertension(PH)represents a threatening pathophysiologic state that can be induced by chronic hypoxia and is characterized by extensive vascular remodeling.However,the mechanism underlying hypoxia-induced vascular remodeling is not fully elucidated.Methods and Results:By using quantitative polymerase chain reactions,western blotting,and immunohistochemistry,we demon-strate that the expression of N-myc downstream regulated gene-1(NDRG1)is markedly increased in hypoxia-stimulated endothelial cells in a time-dependent manner as well as in human and rat endothelium lesions.To determine the role of NDRG1 in endothelial dysfunction,we performed loss-of-function studies using NDRG1 short hairpin RNAs and NDRG1 over-expression plasmids.In vitro,silencing NDRG1 attenuated proliferation,migration,and tube formation of human pulmonary artery endothelial cells(HPAECs)un-der hypoxia,while NDRG1 over-expression promoted these behaviors of HPAECs.Mechanistically,NDRG1 can directly interact with TATA-box binding protein associated factor 15(TAF15)and promote its nuclear localization.Knockdown of TAF15 abrogated the effect of NDRG1 on the proliferation,migration and tube formation capacity of HPAECs.Bioinformatics studies found that TAF15 was involved in regulating PI3K-Akt,p53,and hypoxia-inducible factor 1(HIF-1)signaling pathways,which have been proved to be PH-related pathways.In addition,vascular remodeling and right ventricular hypertrophy induced by hypoxia were markedly alleviated in NDRG1 knock-down rats compared with their wild-type littermates.Conclusions:Taken together,our results indicate that hypoxia-induced upregulation of NDRG1 contributes to endothelial dysfunction through targeting TAF15,which ultimately contributes to the development of hypoxia-induced PH. | Chengwei Li Junzhu Lv Gulinuer Wumaier Yu Zhao Liang Dong Yuzhen Zeng Ning Zhu Xiujuan Zhang Jing Wang Jingwen Xia Shengqing Li | 2023 | Precision Clinical Medicine2023，6，4： | 0 |
| 6 | Trajectory distributions:A new description of movement for trajectory prediction显示文摘Trajectory prediction is a fundamental and challenging task for numerous applications,such as autonomous driving and intelligent robots.Current works typically treat pedestrian trajectories as a series of 2D point coordinates.However,in real scenarios,the trajectory often exhibits randomness,and has its own probability distribution.Inspired by this observation and other movement characteristics of pedestrians,we propose a simple and intuitive movement description called a trajectory distribution,which maps the coordinates of the pedestrian trajectory to a 2D Gaussian distribution in space.Based on this novel description,we develop a new trajectory prediction method,which we call the social probability method.The method combines trajectory distributions and powerful convolutional recurrent neural networks.Both the input and output of our method are trajectory distributions,which provide the recurrent neural network with sufficient spatial and random information about moving pedestrians.Furthermore,the social probability method extracts spatio-temporal features directly from the new movement description to generate robust and accurate predictions.Experiments on public benchmark datasets show the effectiveness of the proposed method. | Pei Lv Hui Wei Tianxin Gu Yuzhen Zhang Xiaoheng Jiang Bing Zhou Mingliang Xu | 2022 | Computational Visual Media2022，8，2： | 0 |
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