|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Late Quaternary Large Earthquakes on the Western Branch of the Xiaojiang Fault and Their Tectonic Implications显示文摘Xiaojiang 差错是沿着西藏的高原的东南的边缘的一个主要活跃左侧面的差错。在云南省的最大的历史的地震,与大小 8 并且吝啬的 coseismic ∼ 的左侧面的排水量 6.9 m,发生在学习这个差错的 Xiaojiang 差错的西方的分支上在理解当前的变丑和西藏的高原的运动学的特征是重要的。活动和段很好在 Xiaojiang 差错上被承担了,当 paleoseismic 研究工作总是是这个差错上的弱连接时。为了调查 paleoseismic 历史和 Xiaojiang 的大地震活动,指责,我们在 Caohaizi 的北边打开了一条大沟下垂 Xiaojiang 差错的西方的分支上的池溏。六个 paleoseismic 事件通过 E6 被鉴别了,并且称为 E1 从对最年轻的炭和森林最旧是丰富的 20 件样品被标明日期在 40 000-36 抑制 paleoseismic 事件的年龄 300 BC , 35 400-24 800 BC , 9 500 BC广告 500 ,广告 390-720 ,广告 1120-1620 和广告1750礼品我们把最年轻的事件 E6 与 1833 M8 地震联系。事件 E4, E5 和 E6 在迟了的 Holocene 显示出 Xiaojiang 差错的西方的海滨的一个连续记录,与 370-480 年的平均复发间隔。在迟了的 Holocene 的大地震复发是远的不到 2000-4000 年的复发在以前的研究摆姿势。因此, Xiaojiang 差错上的地震危险应该被重新估计。而且, Xiaojiang 差错和其它上的大地震的不规则的复发在 Xianshuihe-Xiaojiang 系统指责,沿着西藏的高原的东南的边缘显示四川云南块的不平的向东南的挤出。 | LI Xi RAN Yongkang CHEN Lichun WU Fuyao MA Xinquan CAO Jun | 2015 | Acta Geologica Sinica(English Edition)2015，89，5： | 7 |
| 2 | Single small molecule-assembled nanoparticles mediate efficient oral drug delivery显示文摘Oral drug delivery,which requires surviving the harsh environment in the gastrointestinal(Gl)tract and penetrating the intestinal epithelium,has not bee n achieved using simple formulatio n nan oparticles(NPs).Medici nal natural products(MNPs)have bee n widely used in traditi onal medicine for disease management through oral consumption.However,most pharmacologically active compounds within MNPs do not have the properties suitable for oral applicatio ns.We hypothesize that some MNPs contain n atural nano materials that can convert those compounds into oral formulations by forming NPs.After screening 66 MNPs,we identified five classes of small molecules that form NPs,many of which are capable of efficient drug encapsulation and Gl penetration.We show that one of them,dehydrotrametenolic acid(DTA),is capable of mediating oral delivery for effective disease treatment.We determined that DTA NPs assemble through hydrogen bonding and penetra怕the Gl tract via apical sodium-depe ndent bile acid tran sporter.Our study reveals a no vel class of single comp orient,small molecule-assembled NPs for oral drug delivery,and suggests a n ovel approach to modernizi ng MNPs through nano material discovery. | Xin Yang Chao Ma Zeming Chen Jun Liu Fuyao Liu Rongbin Xie Haitian Zhao Gang Deng Ann TChen Ningbo Gong Lei Yao Pengjian Zuo Kangkang Zhi Jiacheng Wang Xiaobin Gao Jing Wang Louzhen Fan Jiangbing Zhou | 2019 | Nano Research2019，12，10： | 4 |
| 3 | Data-Driven Prediction of Mechanical Properties in Support of Rapid Certification of Additively Manufactured Alloys显示文摘Predicting the mechanical properties of additively manufactured parts is often a tedious process,requiring the integration of multiple stand-alone and expensive simulations.Furthermore,as properties are highly location-dependent due to repeated heating and cooling cycles,the properties prediction models must be run for multiple locations before the part-level performance can be analyzed for certification,compounding the computational expense.This work has proposed a rapid prediction framework that replaces the physics-based mechanistic models with Gaussian process metamodels,a type of machine learning model for statistical inference with limited data.The metamodels can predict the varying properties within an entire part in a fraction of the time while providing uncertainty quantification.The framework was demonstrated with the prediction of the tensile yield strength of Ferrium?PH48S maraging stainless steel fabricated by additive manufacturing.Impressive agreement was found between the metamodels and the mechanistic models,and the computation was dramatically decreased from hours of physics-based simulations to less than a second with metamodels.This method can be extended to predict various materials properties in different alloy systems whose processstructure-property-performance interrelationships are linked by mechanistic models.It is powerful for rapidly identifying the spatial properties of a part with compositional and processing parameter variations,and can support part certification by providing a fast interface between materials models and part-level thermal and performance simulations. | Fuyao Yan Yu-Chin Chan Abhinav Saboo Jiten Shah Gregory BOlson Wei Chen | 2018 | Computer Modeling in Engineering & Sciences2018，，12： | 1 |
| 4 | Melatonin alleviates pyroptosis of retinal neurons following acute intraocular hypertension显示文摘Glaucoma is a multifactorial optic neuropathy progressive characterized by structural loss of retinal ganglion cells(RGCs)and irreversible loss of vision.High intraocular pressure(HIOP)is a high risk factor for glaucoma.It has been reported that the manners of RGCs'loss are in-depth explored after acute HIOP injury,such as,apoptosis,autophagy and necrosis.However,pyroptosis,a novel type of pro-inflammatory cell programmed necrosis,rarely reported after HIOP injury.Researches also showed that melatonin possessing substantial anti-inflammatory properties.However,whether melatonin could alleviate retinal neurons death,especially pyroptosis,by HIOP injury is unclear.This study explored pyroptosis of retinal neurons and the effects of melatonin preventing retinal neurons form pyroptosis after acute HIOP injury.Establish acute HIOP model in rat by increasing the IOP and then reperfusion. | Zhang Yu Huang Yanxia Guo Limin Zhang Yun Zhao Mingxuan Xue Fuyao Tan Cheng Huang Jufang Chen Dan | 2021 | 解剖学杂志2021，44，S01： | 1 |
| 5 | A hybrid deep learning model for robust prediction of the dimensional accuracy in precision milling of thin-walled structural components显示文摘The use of artificial intelligence to process sensor data and predict the dimensional accuracy of machined parts is of great interest to the manufacturing community and can facilitate the intelligent production of many key engineering components.In this study,we develop a predictive model of the dimensional accuracy for precision milling of thin-walled structural components.The aim is to classify three typical features of a structural component—squares,slots,and holes—into various categories based on their dimensional errors(i.e.,“high precision,”“pass,”and“unqualified”).Two different types of classification schemes have been considered in this study:those that perform feature extraction by using the convolutional neural networks and those based on an explicit feature extraction procedure.The classification accuracy of the popular machine learning methods has been evaluated in comparison with the proposed deep learning model.Based on the experimental data collected during the milling experiments,the proposed model proved to be capable of predicting dimensional accuracy using cutting parameters(i.e.,“static features”)and cutting-force data(i.e.,“dynamic features”).The average classification accuracy obtained using the proposed deep learning model was 9.55%higher than the best machine learning algorithm considered in this paper.Moreover,the robustness of the hybrid model has been studied by considering the white Gaussian and coherent noises.Hence,the proposed hybrid model provides an efficient way of fusing different sources of process data and can be adopted for prediction of the machining quality in noisy environments. | Long BAI Fei XU Xiao CHEN Xin SU Fuyao LAI Jianfeng XU | 2022 | Frontiers of Mechanical Engineering2022，17，3： | 0 |
| 6 | A review on surface coating strategies for anti-hygroscopic of high energy oxidizer ammonium dinitramide显示文摘Ammonium dinitramide(ADN),which has the advantages of high energy density,no halogen and low characteristic signal,is not only considered as a new high-energy oxidizer that is expected to replace the traditional oxidizer ammonium perchlorate(AP)in solid propellants,but also a good performance explosive in itself.However,due to the strong hygroscopicity of ADN,its application in solid propellants and explosives is greatly limited.Solving the hygroscopicity of ADN is the key to realize the wide application of ADN.In this paper,we systematically review the research progress of anti-hygroscopic strategies of ADN coating.The surface coating methods are focusing on solvent volatilization,solvent-non-solvent,melt crystallization and atomic layer deposition technology.The characteristics of the different methods are compared and analyzed,and the basis for the classification and selection of the coating materials are introduced in detail.In addition,the feasibility of material for surface coating of ADN is evaluated by several compatibility analysis methods.It is highly expected that the liquid phase method(solvent volatilization method,solvent-non-solvent method)would be the promising method for future ADN coating because of its effective,safety and facile operation.Furthermore,polymer materials,are the preferred coating materials due to their high viscosity,easy adhesion,good anti-hygroscopic effect,and heat resistance,which make ADN weak hygroscopicity,less sensitive,easier to preserve and good compatibility. | Hongyu Yang Fuyao Chen Yiwen Hu Qiangqiang Lu Lei Xiao Yinglei Wang Fengqi Zhao Wei Jiang Gazi Hao | 2024 | Defence Technology(防务技术)2024，33，3： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员