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Chinese Journal of Chemical Engineering 2020年第5期28卷 1285-1292页

作者： Xinping Li yaowei wang Tangyin Wu Shichao Song Bin wang Shenglai Zhong Rongfei Zhou State Key Laboratory of Materials-Oriented Chemical Engineering College of Chemical EngineeringNanjing Tech UniversityNanjing 210009China Shandong Chambroad Petrochemicals Co. LtdBinzhou 256500ShandongChina

SSZ-13 membranes with high separation performances were prepared using ball-milled nanosized seeds by once hydrothermal *** performances of SSZ-13 membranes in CO2/CH4 and N2/CH4 mixtures were enhanced after synthesis ***-gas permeances of CO2,N2 and CH4 and ideal selectivities were recorded through SSZ-13 *** effects of temperature,pressure,feed flow rate and humidity on separation performance of the membranes were *** membranes prepared after synthesis modifications had an average CO2 permeance of 1.16×10-6 mol·(m2·s·Pa)-1(equal to 3554 GPU)with an average CO2/CH4 selectivity of 213 in a 50 vol%/50 vol%CO2/CH4 *** suggests that membrane synthesis has a good *** membrane also displayed a N2 permeance of 1.07×10-7 mol·(m2·s·Pa)-1(equal to 320 GPU)with a N2/CH4 selectivity of 13 for a 50 vol%/50 vol%N2/CH4 ***-13 membrane displayed stable and good separation performance in the wet CO2/CH4 mixture for a long test period over 100 h at 348 *** current SSZ-13 membranes show great potentials for the simultaneous removals of CO2 and N2 in natural gas purification as a facile process suitable for industrial application.

关键词： Carbon/methane separation Nitrogen/methane separation CHA membrane Natural gas purification

High-throughput calculations combining machine learning to investigate the corrosion properties of binary Mg alloys

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Journal of Magnesium and Alloys 2024年第4期12卷 1406-1418页

作者： yaowei wang Tian Xie Qingli Tang Mingxu wang Tao Ying Hong Zhu Xiaoqin Zeng University of Michigan-Shanghai Jiao Tong University Joint Institute Shanghai Jiao Tong University200240ShanghaiChina State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong UniversityShanghai200240China

Magnesium(Mg)alloys have shown great prospects as both structural and biomedical materials,while poor corrosion resistance limits their further *** this work,to avoid the time-consuming and laborious experiment trial,a high-throughput computational strategy based on first-principles calculations is designed for screening corrosion-resistant binary Mg alloy with intermetallics,from both the thermodynamic and kinetic *** stable binary Mg intermetallics with low equilibrium potential difference with respect to the Mg matrix are firstly ***,the hydrogen adsorption energies on the surfaces of these Mg intermetallics are calculated,and the corrosion exchange current density is further calculated by a hydrogen evolution reaction(HER)kinetic *** intermetallics,e.g.Y_(3)Mg,Y_(2)Mg and La_(5)Mg,are identified to be promising intermetallics which might effectively hinder the cathodic ***,machine learning(ML)models are developed to predict Mg intermetallics with proper hydrogen adsorption energy employing work function(W_(f))and weighted first ionization energy(WFIE).The generalization of the ML models is tested on five new binary Mg intermetallics with the average root mean square error(RMSE)of 0.11 *** study not only predicts some promising binary Mg intermetallics which may suppress the galvanic corrosion,but also provides a high-throughput screening strategy and ML models for the design of corrosion-resistant alloy,which can be extended to ternary Mg alloys or other alloy systems.

关键词： Mg intermetallics Corrosion property High-throughput Density functional theory Machine learning

Extracting Integrated Features of Electronic Medical Records Big Data for Mortality and Phenotype Prediction

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Chinese Journal of Electronics 2024年第3期33卷 776-792页

作者： Fei LI Yiqiang CHEN Yang GU yaowei wang Institute of Computing Technology University of Chinese Academy of Sciences Pengcheng Laboratory

The key to synthesizing the features of electronic medical records(EMR) big data and using them for specific medical purposes,such as mortality and phenotype prediction,is to integrate the individual medical event and the overall multivariate time series feature extraction automatically,as well as to alleviate data imbalance *** paper provides a general feature extraction method to reduce manual intervention and automatically process large-scale *** processing uses two variational auto-encoders(VAEs) to automatically extract individual and global *** avoids the well-known posterior collapse problem of Transformer VAE through a uniquely designed "proportional and stabilizing" mechanism and forms a unique means to alleviate the data imbalance *** conducted experiments using ICU-STAY patients' data from the MIMIC-Ⅲ database and compared them with the mainstream EMR time series processing *** results show that the method extracts visible and comprehensive features,alleviates data imbalance problems and improves the accuracy in specific predicting tasks.

关键词： Databases Time series analysis MIMICs Manuals Big Data Feature extraction Transformers

Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey

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Machine Intelligence Research 2023年第4期20卷 447-482页

作者： Xiao wang Guangyao Chen Guangwu Qian Pengcheng Gao Xiao-Yong Wei yaowei wang Yonghong Tian Wen Gao Peng Cheng Laboratory Shenzhen518055China School of Computer Science and Technology Anhui UniversityHefei230601China School of Computer Science Peking UniversityBeijing100871China College of Computer Science Sichuan UniversityChengdu610065China

With the urgent demand for generalized deep models,many pre-trained big models are proposed,such as bidirectional encoder representations(BERT),vision transformer(ViT),generative pre-trained transformers(GPT),*** by the success of these models in single domains(like computer vision and natural language processing),the multi-modal pre-trained big models have also drawn more and more attention in recent *** this work,we give a comprehensive survey of these models and hope this paper could provide new insights and helps fresh researchers to track the most cutting-edge ***,we firstly introduce the background of multi-modal pre-training by reviewing the conventional deep learning,pre-training works in natural language process,computer vision,and ***,we introduce the task definition,key challenges,and advantages of multi-modal pre-training models(MM-PTMs),and discuss the MM-PTMs with a focus on data,objectives,network architectures,and knowledge enhanced *** that,we introduce the downstream tasks used for the validation of large-scale MM-PTMs,including generative,classification,and regression *** also give visualization and analysis of the model parameters and results on representative downstream ***,we point out possible research directions for this topic that may benefit future *** addition,we maintain a continuously updated paper list for large-scale pre-trained multi-modal big models:https://***/wangxiao5791509/MultiModal_BigModels_Survey.

关键词： Multi-modal(MM) pre-trained model(PTM) information fusion representation learning deep learning

低温反应自熔法原位合成MgO颗粒增强镁基复合材料

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稀有金属材料与工程 2007年第3期36卷 554-558页

作者：郗雨林柴东朗王耀玮中国船舶重工集团公司洛阳七二五所河南洛阳471039 西安交通大学材料科学与工程学院陕西西安710049

采用低温反应自熔新工艺,由经过预氧化的Mg粉原位合成了MgO颗粒增强镁基复合材料,并对其显微组织和力学性能进行了检测。结果表明:低温反应自熔时,因Mg颗粒处于全熔或半熔状态,表面的氧化膜得到了有效地破碎、细化,并在液相熔蚀和自身... 详细信息

采用低温反应自熔新工艺,由经过预氧化的Mg粉原位合成了MgO颗粒增强镁基复合材料,并对其显微组织和力学性能进行了检测。结果表明:低温反应自熔时,因Mg颗粒处于全熔或半熔状态,表面的氧化膜得到了有效地破碎、细化,并在液相熔蚀和自身表面张力的共同作用下,球化成微米和亚微米级MgO颗粒;形成的MgO颗粒不但与基体结合良好、分散均匀,而且因具有很高的强度和刚度,对基体产生了较好的增强效果。与粉末冶金法相比,采用低温反应自熔法制备的镁基复合材料的组织和性能均显示出明显优势。

关键词：原位合成 MgO颗粒镁基复合材料显微组织力学性能

超大挤压变形对钛合金增强镁基复合材料显微组织的影响

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稀有金属材料与工程 2007年第5期36卷 769-773页

作者：郗雨林柴东朗王耀玮洛阳船舶材料研究所河南洛阳471039 西安交通大学陕西西安710049

采用粉末冶金法制备了钛合金(Ti-6Al-4V)(质量分数,下同)颗粒增强MB15镁基复合材料,经225:1的超大比热挤变形后,借助光学显微镜(OM)、扫描电镜(SEM)和透射电镜(TEM)对其显微组织进行了研究。结果表明:钛合金颗粒沿挤压方向因塑性变形而... 详细信息

采用粉末冶金法制备了钛合金(Ti-6Al-4V)(质量分数,下同)颗粒增强MB15镁基复合材料,经225:1的超大比热挤变形后,借助光学显微镜(OM)、扫描电镜(SEM)和透射电镜(TEM)对其显微组织进行了研究。结果表明:钛合金颗粒沿挤压方向因塑性变形而被拉长,其增强效果得到提高;超大比热挤变形能够显著细化基体晶粒,并提高复合材料的组织均匀性;此外,原镁粉表面的氧化膜经超大比变形后得到了有效的碎化和分散,具有一定的弥散强化效果,因此可充当粉末冶金制备镁基复合材料的辅助增强相。

关键词：钛合金镁基复合材料热挤压变形显微组织

Robot Fish Detection Based on a Combination Method of Three-Frame-Difference and Background Subtraction

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Robot Fish Detection Based on a Combination Method of Three-...

第26届中国控制与决策会议

作者： LAN Yongtian JI Zhijian GAO Junwei wang yaowei School of Automation engineeringQingdao University

ISBN: (纸本)9781479937097

By combining three-frame-difference method with background subtraction method, an approach is proposed for rapid detection and identification of moving targets. First the background frame is achieved after decoding frame operation on video which is collected by the robotic fish platform and made into gray-level. Then the threshold determined by the OTSU algorithm is employed to transform them into binary images. After that, a new binary image（F1） that the moving targets are extracted is obtained by three-frame-difference method mixed with AND logic operator and the mathematical morphology operation. If moving targets are detected in frame（F1）, background subtraction method is applied to get another binary images（F2）;otherwise specific messages will be shown in the frame. Finally, accurate image is obtained by using the 4-neighbor topology method mixed with the AND operation between F1 and F2. Program simulation experiments show that in the robotic fish system the proposed algorithm can detect fish and judge moving situation accurately, completely and quickly.

关键词： Three-frame-difference Background subtraction OTSU Algorithm 4-neighbor topology

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精化双正交Lanczos方法

四川师范大学学报（自然科学版） 2013年第6期36卷 866-870页

作者：王耀卫仰恩大学数学系福建泉州362014

根据精化投影方法的思想对经典的双正交Lanczos方法进行改进,提出了精化双正交Lanczos方法,即把非对称矩阵A的投影矩阵Tm构造成另一个三对角矩阵Tm,理论上T m与Tm具有相同的特征值,而且TTm=Tm,并用矩阵Tm的特征值作为A的特征值的近似,... 详细信息

根据精化投影方法的思想对经典的双正交Lanczos方法进行改进,提出了精化双正交Lanczos方法,即把非对称矩阵A的投影矩阵Tm构造成另一个三对角矩阵Tm,理论上T m与Tm具有相同的特征值,而且TTm=Tm,并用矩阵Tm的特征值作为A的特征值的近似,进一步用A的左、右精化向量分别近似矩阵A的左、右特征向量.在计算过程中,Tm的特征值很容易得到,而且由它可计算高精度近似特征值.理论表明这种方法在计算大规模非对称特征问题方面比双正交Lanczos方法更为优越.

关键词：双正交Lanczos过程 Ritz值 Ritz向量精化双正交Lanczos算法

中国共产党探索中国教育现代化新道路:历史进程、卓越成就和动力机制

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现代远程教育研究 2024年第2期36卷 52-62页

作者：侯怀银王耀伟山西大学教育科学学院山西大学中国社会教育研究院山西太原030006 山西大学马克思主义哲学研究所山西太原030006

中国教育现代化新道路在实现社会主义现代化和人的全面发展过程中体现出了自身的价值和意义。在新民主主义革命时期、社会主义革命和建设时期、改革开放和社会主义现代化建设新时期、中国特色社会主义新时代,中国共产党对中国教育现代... 详细信息

中国教育现代化新道路在实现社会主义现代化和人的全面发展过程中体现出了自身的价值和意义。在新民主主义革命时期、社会主义革命和建设时期、改革开放和社会主义现代化建设新时期、中国特色社会主义新时代,中国共产党对中国教育现代化新道路进行了不懈探索,并在教育公平的现代化新进程、终身教育理念践行和体系构建、教师队伍高质量建设、教育信息化发展、中国教育对外开放、教育治理现代化建设、教育学术理论创生与提升等方面取得了卓越成就,彰显出教育的公平性、全民终身性、人本性、时代创新性、开放共享性、科学性和系统性、理论和实践的融通性等特征。回顾既往探索史发现,坚持马克思主义指导地位、坚持党的领导、坚持以人民为中心、坚持扎根中国大地办教育、坚持深化教育领域改革创新这五方面为走好中国教育现代化新道路提供了不竭的动力支撑。

关键词：中国共产党教育现代化中国教育现代化新道路动力机制

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研究生教育学的学科体系、学术体系和话语体系建设

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研究生教育研究 2021年第6期 10-17页

作者：王耀伟侯怀银山西大学马克思主义哲学研究所太原030006 山西大学教育科学学院太原030006

建设研究生教育学学科体系、学术体系和话语体系,有助于推动研究生教育学建设,推进研究生教育在新时代改革发展进程。我们应始终坚持以马克思主义为指导,在深入把握学科特点基础上建设研究生教育学学科体系,即服务实践需求以推动研究生... 详细信息

建设研究生教育学学科体系、学术体系和话语体系,有助于推动研究生教育学建设,推进研究生教育在新时代改革发展进程。我们应始终坚持以马克思主义为指导,在深入把握学科特点基础上建设研究生教育学学科体系,即服务实践需求以推动研究生教育学分支学科建设、探寻自身学科逻辑以推动成熟化的研究生教育学学科内容形成、完善学科建制以推动研究生教育学学科体系规范化建设;在强化理论实践交互生成基础上建设研究生教育学学术体系,即聚焦重大问题以演绎归纳生成学术成果、拓宽学术视野并扎根各学科研究生教育领域、呼唤多角色主体参与以打造学术共同体;在立足中国本土立场基础上建设研究生教育学话语体系,即推动适度借鉴与自主创建统一、坚持文化自信、争取国际认知和认同。

关键词：研究生教育学学科体系学术体系话语体系

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