检索结果-南通市图书馆

Chinese Journal of Aeronautics 2022年第6期35卷 339-351页

作者： Min LI Jingfei YIN Linbo CHE Wenfeng ding Jiuhua XU National Key Laboratory of Science and Technology on Helicopter Transmission Nanjing University of Aeronautics and AstronauticsNanjing 210016China

K444 nickel-based superalloy is an important material to manufacture the gas turbine due to its excellent mechanical properties at high temperatures and corrosion ***,grinding is the mostly used method for the surface finish of the K444 alloy ***,few studies worked on the effects of the abrasive tool wear on the ground surface characteristics and corrosion properties of K444 *** study uses two different-type alumina abrasive tools,i.e.,white alumina(wa)and microcrystalline alumina(MA)wheels,to grind the K444 *** influence of the alumina abrasive tool wear on ground surface characteristics and corrosion resistance performance are *** is discovered that the MA wheel presents a slighter wheel wear and higher self-sharpening than the wa *** to the wa wheel,the MA wheel has less material adhesion,which leads to a better surface *** the corrosion testing,the maximum corrosion depth is 80μm in the surface ground by the MA wheel but 100μm in the surface ground by the wa wheel,which demonstrates that the MA wheel grinding benefits the surface corrosion resistance of K444 ***,this study could provide a guide to selecting the abrasive tools and optimizing the grinding process of the K444 alloy.

关键词： Abrasive wheel wear Corrosion resistance Grinding K444 nickel-based superalloy Microcrystalline alumina

Key techniques for 5G wireless communications:network architecture, physical layer,and MAC layer perspectives

在线全文

学校读者我要写书评

暂无评论

Science China(Information Sciences) 2015年第4期58卷 5-24页

作者： MA Zheng ZHANG ZhengQuan ding ZhiGuo FAN PingZhi LI HengChao Provincial Key Lab of Information Coding and Transmission Southwest Jiaotong University Department of Communication Systems Lancaster University

The fourth generation(4G) mobile communication systems are offering service worldwide *** 4G systems could be loaded with much more services and data than previous systems, there is still a dramatic gap between the people’s practical requirements and what can be offered by the 4G ***, the research and development for the fifth generation(5G) systems have already been started. This article presents an overview of potential network architecture and highlights several promising techniques which could be employed in the future 5G systems. These techniques include non-orthogonal multiple access(NOMA),massive multiple input and multiple output(MIMO), cooperative communications and network coding, full duplex(FD), device-to-device(D2D) communications, millimeter wave communications, automated network organization, cognitive radio(CR), and green communications. The state-of-art and implementation issue of these techniques are also addressed.

关键词： 5G software defined network non-orthogonal multiple access massive MIMO full duplex deviceto-device communications millimeter wa

基于增强精英保留遗传算法的虚拟微网群动态划分及能量局域自治

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

中国电机工程学报 2024年第12期44卷 4652-4665,I0006页

作者：华昊辰翟家祥陈星莺王博余昆秦钰超沈俊丁一贺大玮河海大学能源与电气学院江苏省南京市210098 剑桥大学应用数学和理论物理系英国剑桥CB30WA 北京理工大学机械与车辆学院北京市海淀区100081 浙江大学电气工程学院浙江省杭州市310027 清华四川能源互联网研究院四川省成都市610213

互联的多微网系统作为可再生能源利用的有效形式之一,随着“双碳”工作的推进越发受到重视。该文旨在研究基于海量可控设备的优化调节方法,以促进可再生能源充分就地消纳,提高多微网系统运行经济性。然而,对海量可控设备的全局控制将面... 详细信息

互联的多微网系统作为可再生能源利用的有效形式之一,随着“双碳”工作的推进越发受到重视。该文旨在研究基于海量可控设备的优化调节方法,以促进可再生能源充分就地消纳,提高多微网系统运行经济性。然而,对海量可控设备的全局控制将面临“维数灾难”的挑战。现有研究中基于地理分布的分区优化能够实现“降维控制”,但可再生能源出力的波动性与负荷在时间上的变化和空间上的迁移,都会导致固定分区的方法难以适用于多微网系统态势变迁下的能量动态管控。针对上述问题,首先建立微电网动态模型;进而提出通过增强精英保留遗传算法(strengthen elitist genetic algorithm,SEGA)将互联多微网场景划分为多个边界可动态调整的虚拟微网群,并进行能量“局域自治”优化;最后基于改进的IEEE-123节点模型进行仿真,结果显示1 h内动态边界虚拟微网群的总运行成本比固定边界虚拟微网群的总运行成本降低了13.6%,且所采用的SEGA的求解时间比传统遗传算法减少了7.09%。

关键词：多微网系统虚拟微网群动态分区增强精英保留遗传算法(SEGA)

三江源区不同覆被类型高寒草甸土壤水分变化特征

同方期刊数据库博看期刊评论

在线全文

学校读者我要写书评

暂无评论

干旱区研究 2024年第8期41卷 1343-1353页

作者：万佳怡矢佳昱张华敏李兰晖丁明军江西师范大学地理与环境学院江西南昌330022 鄱阳湖湿地与流域研究教育部重点实验室江西南昌330022 江西省自然资源政策调查评估中心江西南昌330025 厦门理工学院计算机与信息工程学院福建厦门361024

土壤水分是植物生长与繁殖的物质基础,明确其动态特征对当地水资源管理和植被恢复具有重要意义。本文以三江源区高寒草甸为研究对象,结合野外调查与室内实验,分析不同覆被类型下高寒草甸土壤水分年、季、日动态特征,探讨植被及土壤因素... 详细信息

土壤水分是植物生长与繁殖的物质基础,明确其动态特征对当地水资源管理和植被恢复具有重要意义。本文以三江源区高寒草甸为研究对象,结合野外调查与室内实验,分析不同覆被类型下高寒草甸土壤水分年、季、日动态特征,探讨植被及土壤因素对土壤水分变化的影响。结果表明:(1)2022年降雨偏少、气温偏高,各样地土壤液态水含量下降了1%~18%;夏秋季土壤未冻水含量高于冬春季,各样地各土层中月平均含水量最高为10月(0.495 m^(3)·m^(-3)),最低为1月(0.038 m^(3)·m^(-3));3月和12月土壤液态水含量日变幅较大,变化范围分别为0.11~0.20 m^(3)·m^(-3)和0.07~0.16 m^(3)·m^(-3);(2)轻中度退化高寒草甸(YG4)和原生高寒草甸(YG5)植被覆盖度较高、容重较低,土壤含水量较高且变化幅度小;(3)人工草地耗水量大且物种单一、土壤肥力较低,不利于土壤保水。研究结果可为三江源区高寒草甸生态系统的恢复与治理提供参考。

关键词：植被盖度土壤含水量退化人工草地三江源区

Zeptomole Imaging of Cytosolic MicroRNA Cancer Biomarkers with A Light-Controlled Nanoantenna

在线全文

学校读者我要写书评

暂无评论

Nano-Micro Letters 2021年第12期13卷 468-482页

作者： Yang Song Xiaoli Cai Grayson Ostermeyer Shichao ding Dan Du Yuehe Lin School of Mechanical and Materials Engineering Washington State UniversityPullmanWA 99164USA Nanosong Systems LLC RedmondWA 98052USA School of Biological Sciences Washington State UniversityPullmanWA 99164USA

Detecting and quantifying intracellular microRNAs(miRNAs)are a critical step in resolving a cancer diagnostic and resolving the ensemble of gene products that orchestrate the living state of ***,the nanoprobe for detecting low abundance miRNAs in cell cytosol is restricted by either the"one-to-one"signaltrigger model or di culty for cytosol *** address these challenges,we designed a lightharvesting nanoantenna-based nanoprobe,which directs excitation energy to a single molecule to sensitively detect cytosolic *** light irradiation,the light-harvesting nanoantenna e ectively disrupted lysosomal structures by generationof reactive oxygen species,substantially achieved cytosol *** nanoantenna containing>4000 donor dyes can e ciently transfer excitation energy to one or two acceptors with 99%e ciency,leading to unprecedented signal amplification and biosensing *** designed nanoantenna can quantify cytosolic miR-210 at zeptomolar *** fluorescence lifetime of the donor exhibited good relationship with miR-210 concentration in the range of 0.032 to 2.97 amol/*** zeptomole sensitivity of nanoantenna provides accurate bioimaging of miR-210 both in multiple cell lines and in vivo assay,which creates a pathway for the creation of miRNA toolbox for quantitative epigenetics and personalized medicine.

关键词： Light-harvest Nanoantenna miRNA detection Zeptomole Multiple cell lines

Machine learning for molecular thermodynamics

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Chemical Engineering 2021年第3期34卷 227-239页

作者： Jiaqi ding Nan Xu Manh Tien Nguyen Qi Qiao Yao Shi Yi He Qing Shao College of Chemical and Biological Engineering Zhejiang UniversityHangzhou 310027China Chemical and Materials Engineering Department University of KentuckyLexingtonKY 40506USA Key Laboratory of Biomass Chemical Engineering of Ministry of Education Zhejiang UniversityHangzhou 310027China Department of Chemical Engineering University of WashingtonSeattleWA 98195USA

Thermodynamic properties of complex systems play an essential role in developing chemical engineering *** remains a challenge to predict the thermodynamic properties of complex systems in a wide range and describe the behavior of ions and molecules in complex *** learning emerges as a powerful tool to resolve this issue because it can describe complex relationships beyond the capacity of traditional mathematical *** minireview will summarize some fundamental concepts of machine learning methods and their applications in three aspects of the molecular thermodynamics using several *** first aspect is to apply machine learning methods to predict the thermodynamic properties of a broad spectrum of systems based on known *** second aspect is to integer machine learning and molecular simulations to accelerate the discovery of *** third aspect is to develop machine learning force field that can eliminate the barrier between quantum mechanics and all-atom molecular dynamics *** applications in these three aspects illustrate the potential of machine learning in molecular thermodynamics of chemical *** will also discuss the perspective of the broad applications of machine learning in chemical engineering.

关键词： Machine learning Thermodynamic properties Molecular engineering Molecular simulation Force field

在线全文

学校读者我要写书评

暂无评论

血清中乳酸标准物质的研制

中国测试 2022年第8期48卷 60-67页

作者：丁敏孟娇然夏娃上海市计量测试技术研究院上海201203

为满足临床血清乳酸测量结果量值溯源需求,研制血清中乳酸标准物质。标准物质以人血清为基质,加入与人体构型相同的高纯乳酸,制备为3个浓度水平的标准物质候选物,采用同位素稀释高效液相色谱-串联质谱法进行多家实验室定值,采用酶膜法... 详细信息

为满足临床血清乳酸测量结果量值溯源需求,研制血清中乳酸标准物质。标准物质以人血清为基质,加入与人体构型相同的高纯乳酸,制备为3个浓度水平的标准物质候选物,采用同位素稀释高效液相色谱-串联质谱法进行多家实验室定值,采用酶膜法对标准物质均匀性、稳定性进行评价。实验结果表明,该系列血清中乳酸标准物质均匀性稳定性良好,在-80℃条件下可保存9个月以上,3个浓度水平标准物质定值结果分别为(5.53±0.14)mmol/L、(10.22±0.09)mmol/L、(15.76±0.27)mmol/L,包含因子k=2。该标准物质作为血清中乳酸量值溯源的载体,可以有助于临床乳酸参考系统的建立,应用于临床乳酸测定仪的校准、乳酸检测方法评价以及相应质量控制。

关键词：血清乳酸标准物质同位素稀释质谱法临床量值溯源

维普期刊数据库博看期刊

基于VMD-TCN-GRU模型的水质预测研究

在线全文

学校读者我要写书评

暂无评论

人民黄河 2024年第3期46卷 92-97页

作者：项新建许宏辉谢建立丁祎胡海斌郑永平杨斌浙江科技学院自动化与电气工程学院浙江杭州310023 凯铭科技(杭州)有限公司浙江杭州310023

为充分挖掘水质数据在短时震荡中的变化特征,提升预测模型的精度,提出一种基于VMD(变分模态分解)、TCN(卷积时间神经网络)及GRU(门控循环单元)组成的混合水质预测模型,采用VMD-TCN-GRU模型对汾河水库出水口高锰酸盐指数进行预测,并与此... 详细信息

为充分挖掘水质数据在短时震荡中的变化特征,提升预测模型的精度,提出一种基于VMD(变分模态分解)、TCN(卷积时间神经网络)及GRU(门控循环单元)组成的混合水质预测模型,采用VMD-TCN-GRU模型对汾河水库出水口高锰酸盐指数进行预测,并与此类研究中常见的SVR(支持向量回归)、LSTM(长短期记忆神经网络)、TCN和CNN-LSTM(卷积神经网络-长短期记忆神经网络)这4种模型预测结果对比表明:VMD-TCN-GRU模型能更好挖掘水质数据在短时震荡过程中的特征信息,提升水质预测精度;VMD-TCN-GRU模型的MAE(平均绝对误差)、RMSE(均方根误差)下降,R^(2)(确定系数)提高,其MAE、RMSE、R^(2)分别为0.0553、0.0717、0.9351;其预测性能优越,预测精度更高且拥有更强的泛化能力,可以应用于汾河水质预测。

关键词：水质预测混合模型变分模态分解卷积时间神经网络门控循环单元时间序列汾河

2020 roadmap on pore materials for energy and environmental applications

同方期刊数据库博看期刊评论

在线全文

学校读者我要写书评

暂无评论

Chinese Chemical Letters 2019年第12期30卷 2110-2122页

作者： Zengxi Wei Bing ding Hui Dou Jorge Gascon Xiang-Jian Kong Yujie Xiong Bin Cai Ruiyang Zhang Ying Zhou Mingce Long Jie Miao Yuhai Dou ding Yuan Jianmin Ma School of Physics and Electronics Hunan UniversityChangsha 410082China Jiangsu Key Laboratory of Electrochemical Energy-Storage Technologies College of Materials Science and TechnologyNanjing University of Aeronautics and AstronauticsNanjing 210016China King Abdullah University of Science and Technology KAUST Catalysis Center(KCC)Advanced Catalytic MaterialsThuwal 23955Saudi Arabia State Key Laboratory of Physical Chemistry of Solid Surfaces and Department of ChemistryCollege of Chemistry and Chemical EngineeringXiamen UniversityXiamen 361005China Hefei National Laboratory for Physical Sciences at the Microscale and School of Chemistry and Materials ScienceUniversity of Science and Technology of ChinaHefei 230026China Physical Science Division Pacific Northwest National LaboratoryRichlandWA 99352United States State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation Southwest Petroleum UniversityChengdu 610500China The Center of New Energy Materials and Technology School of Materials Science and EngineeringSouthwest Petroleum UniversityChengdu 610500China School of Environmental Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China Centre for Clean Environment and Energy Gold Coast CampusGriffith UniversityGold Coast 4222Australia Key Laboratory of Materials Processing and Mold(Zhengzhou University) Ministry of EducationZhengzhou UniversityZhengzhou 450002China

Porous materials have attracted great attention in energy and environment applications,such as metal organic frameworks(MOFs),metal aerogels,carbon aerogels,porous metal *** materials could be also hybridized with other materials into functional composites with superior *** high specific area of porous materials offer them the advantage as hosts to conduct catalytic and electrochemical *** one hand,catalytic reactions include photocatalytic,p ho toe lectrocatalytic and electrocatalytic reactions over some *** the other hand,they can be used as electrodes in various batteries,such as alkaline metal ion batteries and electrochemical *** far,both catalysis and batteries are extremely attractive *** are also many obstacles to overcome in the exploration of these porous *** research related to porous materials for energy and environment applications is at extremely active stage,and this has motivated us to contribute with a roadmap on ’porous materials for energy and environment applications’.

关键词： Metal organic frameworks Zeolitic imidazolate frameworks Covalent organic frameworks Aerogels Photocatalysis Photoelectrocatalysis Electrocatalysis Metal-ion batteries Electrochemical capacitors

cGAS-STING信号通路在缺血性脑卒中作用机制的研究进展

在线全文

学校读者我要写书评

暂无评论

神经解剖学杂志 2024年第4期40卷 520-524页

作者：杜小正丁少云刘倩茹田亮李兴兰王金海甘肃中医药大学针灸推拿学院兰州730000 甘肃省中医院针灸科兰州730050 兰州大学第二医院中医科兰州730030

缺血性脑卒中(IS)是世界上导致成人死亡和残疾的主要疾病之一,其复杂的病理机制至今尚未完全阐明。环鸟苷酸-腺苷酸合成酶(cGAS)-干扰素基因刺激因子(STING)信号通路是近年来新发现的一种广泛表达于哺乳动物细胞内的模式识别受体(PRR),... 详细信息

缺血性脑卒中(IS)是世界上导致成人死亡和残疾的主要疾病之一,其复杂的病理机制至今尚未完全阐明。环鸟苷酸-腺苷酸合成酶(cGAS)-干扰素基因刺激因子(STING)信号通路是近年来新发现的一种广泛表达于哺乳动物细胞内的模式识别受体(PRR),在固有免疫应答过程中发挥着关键作用。研究发现cGAS-STING信号通路可通过调节神经炎症、细胞死亡、自噬等途径参与脑缺血的发生发展,有望成为治疗IS的新靶标。本文主要归纳总结了近年来cGAS-STING信号通路在IS中作用机制的研究成果,以期为脑缺血的治疗提供理论依据和新的研究思路。

关键词： cGAS-STING信号通路缺血性脑卒中神经炎症细胞死亡自噬