检索结果-南通市图书馆

冷却水管损坏对高拱坝后期温度应力的影响机制

在线全文

学校读者我要写书评

暂无评论

武汉大学学报（工学版） 2017年第2期50卷 213-219页

作者：郭华伟周伟张超常晓林王毅武汉大学水资源与水电工程科学国家重点实验室湖北武汉430072 长江勘测规划设计研究院湖北武汉430015

高拱坝在施工过程中需要对地基进行固结灌浆,灌浆分为有盖重灌浆和无盖重灌浆2种,对于有盖重灌浆来说,钻孔极其容易将冷却水管损坏,水管损坏对混凝土后期温度应力影响较大.采用热流耦合精细算法对施工期混凝土的温度应力进行仿真分析,... 详细信息

高拱坝在施工过程中需要对地基进行固结灌浆,灌浆分为有盖重灌浆和无盖重灌浆2种,对于有盖重灌浆来说,钻孔极其容易将冷却水管损坏,水管损坏对混凝土后期温度应力影响较大.采用热流耦合精细算法对施工期混凝土的温度应力进行仿真分析,结果表明:水管损坏后,大坝混凝土无法进行通水冷却,在较长的一段时期内,混凝土温度呈现不同程度的回升或缓慢降温.当混凝土达到一定的龄期需要进行接缝灌浆时,混凝土的温度依然较高,影响接缝灌浆的质量.如果以较高的温度进行封拱灌浆,那么在大坝运行期遇到温降工况时会在坝体内部产生比较大的温度残余应力.

关键词：固结灌浆水管损坏热流耦合法温度残余应力

在线全文

学校读者我要写书评

暂无评论

直接布雷顿循环气冷反应堆系统运行特性分析

原子能科学技术 2020年第7期54卷 1168-1175页

作者：明杨易经纬方华伟刘凯赵富龙谭思超田瑞峰哈尔滨工程大学核安全与仿真技术国防重点学科实验室黑龙江哈尔滨150001 中国核动力研究设计院四川成都610213

基于Matlab/simulink程序,针对小型直接布雷顿循环反应堆系统,通过模块化思想建立该系统数学物理模型,开发了系统分析程序。通过改变反应堆、透平、压缩机、换热器等关键设备的运行参数或引入阶跃扰动,模拟了系统稳态工况与瞬态变工况运... 详细信息

基于Matlab/simulink程序,针对小型直接布雷顿循环反应堆系统,通过模块化思想建立该系统数学物理模型,开发了系统分析程序。通过改变反应堆、透平、压缩机、换热器等关键设备的运行参数或引入阶跃扰动,模拟了系统稳态工况与瞬态变工况运行,得到了关键设备功率、进出口压力、温度等关键参数的变化曲线。结果表明,系统分析程序对小型直接布雷顿循环反应堆系统稳态与瞬态运行特性的模拟结果较合理,能为小型直接布雷顿循环反应堆系统的设计、优化与安全分析提供依据。

关键词：布雷顿循环小型气冷反应堆模块化建模动态仿真瞬态运行特性

在线全文

学校读者我要写书评

暂无评论

山茱萸果核不同产地间的抗氧化活性研究

陕西中医药大学学报 2023年第2期46卷 23-26页

作者：张婷姜海慧冯石卜宋小妹姜祎张化为邓翀陕西中医药大学陕西咸阳712046 陕西省中药基础与新药研究重点实验室陕西咸阳712046

目的比较来自陕西省内的三个不同产地山茱萸果核的抗氧化活性,为山茱萸果核资源的综合开发提供参考。方法以汉中市宁强县、汉中市洋县和宝鸡市凤县三个产地的山茱萸果核为原料,分别以石油醚、无水乙醇和水为提取溶剂,通过测定上述不同... 详细信息

目的比较来自陕西省内的三个不同产地山茱萸果核的抗氧化活性,为山茱萸果核资源的综合开发提供参考。方法以汉中市宁强县、汉中市洋县和宝鸡市凤县三个产地的山茱萸果核为原料,分别以石油醚、无水乙醇和水为提取溶剂,通过测定上述不同提取部位对1,1-二苯基-2-三硝基苯肼(1,1-diphenyl-2-picrylhydrazyl,DPPH)自由基的清除能力评价其抗氧化活性。结果来自宁强县、凤县和洋县的山茱萸果核石油醚部位清除DPPH自由基能力较低;无水乙醇部位清除DPPH自由基的IC50值分别为0.0038 mg·mL^(-1),0.0231 mg·mL^(-1),0.0207 mg·mL^(-1);水部位清除DPPH自由基的IC50值分别0.0134 mg·mL^(-1),0.0437 mg·mL^(-1),0.0250 mg·mL^(-1)。结论来自三个产地的山茱萸果核的三个提取部位均有抗氧化活性,其中汉中市宁强县山茱萸果核的无水乙醇提取部位活性最佳。

关键词：山茱萸果核抗氧化活性提取部位

Cardinality Estimator:Processing SQL with a Vertical Scanning Convolutional Neural Network

在线全文

学校读者我要写书评

暂无评论

Journal of Computer Science & Technology 2021年第4期36卷 762-777页

作者： Shao-Jie Qiao Guo-Ping Yang Nan Han Hao Chen Fa-Liang Huang Kun Yue Yu-Gen yi Chang-An Yuan School of Software Engineering Chengdu University of Information TechnologyChengdu 610225China School of Management Chengdu University of Information TechnologyChengdu 610225China School of Computer and Information Engineering Nanning Normal UniversityNanning 530299China Beijing huawei Digital Technologies Co. Ltd.Beijing 100085China School of Information Science and Engineering Yunnan UniversityKunming 650500China School of Software Jiangxi Normal UniversityNanchang 330022China Guangxi College of Education Nanning 530007China

Although the popular database systems perform well on query optimization,they still face poor query execution plans when the join operations across multiple tables are *** execution planning usually results in bad cardinality *** cardinality estimation models in traditional databases cannot provide high-quality estimation,because they are not capable of capturing the correlation between multiple tables in an effective ***,the state-of-the-art learning-based cardinality estimation is estimated to work better than the traditional empirical ***,they used deep neural networks to compute the relationships and correlations of *** this paper,we propose a vertical scanning convolutional neural network(abbreviated as VSCNN)to capture the relationships between words in the word vector in order to generate a feature *** proposed learning-based cardinality estimator converts Structured Query Language(SQL)queries from a sentence to a word vector and we encode table names in the one-hot encoding method and the samples into bitmaps,separately,and then merge them to obtain enough semantic information from data *** particular,the feature map obtained by VSCNN contains semantic information including tables,joins,and predicates about SQL ***,in order to improve the accuracy of cardinality estimation,we propose the negative sampling method for training the word vector by gradient descent from the base table and compress it into a *** experiments are conducted and the results show that the estimation quality of q-error of the proposed vertical scanning convolutional neural network based model is reduced by at least 14.6%when compared with the estimators in traditional databases.

关键词： cardinality estimation word vector vertical scanning convolutional neural network sampling method

抑癌基因RSK4的表达与乳腺癌细胞体外侵袭力的相关性研究

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

中国肿瘤临床 2011年第6期38卷 308-311页

作者：张晓丽刘剑仑杨华伟韦薇蒋奕 Dezhong Joshua Liao 广西医科大学附属肿瘤医院乳腺疾病中心南宁市530021 美国明尼苏达大学Hormel究所癌症转化研究部

目的:探讨RSK4 mRNA在4株乳腺癌细胞MDA-MB-231、T47D、Bcap-37、MCF-7中的表达,分析RSK4 mRNA表达情况与4组细胞侵袭力之间的关系,进而探讨RSK4的抑癌机制。方法:通过RT-PCR方法检测4组乳腺癌细胞MDA-MB-231、T47D、Bcap-37、MCF-7中RSK4mRNA的表达情况,用Transwell小室法检测4组细胞的侵袭力、运动力,分析二者之间的关系。结果:4组乳腺癌细胞株体外侵袭力、迁移力高低顺序依次为:MDA-MB-231>T47D>Bcap-37>MCF-7(P<0.001),4组细胞两两之间比较,有显著性差异;相关性分析显示,其侵袭力与迁移力呈显著性正相关(r=0.822,P<0.001)。RSK4mRNA表达水平的顺序依次为:MDA-MB-23l

关键词： RSK4基因乳腺癌细胞株侵袭力迁移力

红曲霉液体深层发酵生产红曲色素条件的优化及其抗氧化活性

在线全文

学校读者我要写书评

暂无评论

廊坊师范学院学报（自然科学版） 2023年第3期23卷 37-42页

作者：胡依萍蒋璇金枫高理想杨瑞王易董婷婷曾化伟淮北师范大学安徽淮北235000

为了提高红曲霉液体发酵生产色素的产量,明确其抗氧化活性,进行了培养基单因子发酵条件的优化,确定了红曲霉菌生产色素最佳培养基成分。在此基础上进行正交实验,获得最优培养基的配方,再进行发酵条件的单因子实验优化,得出最优培养条件。

关键词：红曲霉菌胞外红曲色素液态发酵条件发酵实验条件正交实验优化抗氧化

Controlled Quantum Network Coding Without Loss of Information

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2021年第12期69卷 3967-3979页

作者： Xiu-Bo Pan Xiu-Bo Chen Gang Xu Haseeb Ahmad Tao Shang Zong-Peng Li yi-Xian Yang Information Security Center State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and TelecommunicationsBeijing100876China School of Information Science and Technology North China University of TechnologyBeijing100144China Department of Computer Science National Textile University Faisalabad37610Pakistan School of Cyber Science and Technology Beihang UniversityBeijing100083China huawei Technologies Co.Ltd. Shenzhen518129China School of Computer Science Wuhan UniversityWuhan430072China

Quantum network coding is used to solve the congestion problem in quantum communication,which will promote the transmission efficiency of quantum information and the total throughput of quantum *** propose a novel controlled quantum network coding without information *** effective transmission of quantum states on the butterfly network requires the consent form a third-party controller ***,two pairs of threeparticle non-maximum entangled states are pre-shared between senders and *** adding auxiliary particles and local operations,the senders can predict whether a certain quantum state can be successfully transmitted within the butterfly network based on the Z-{10>,|1>}***,when trans-mission fails upon prediction,the quantum state will not be lost,and it will sill be held by the ***,the controller Charlie re-prepares another three-particle non-maximum entangled state to start a new *** the predicted transmission is successful,the quantum state can be transmitted successfully within the butterfly *** the receiver wants to receive the effective quantum state,the quantum measurements from Charlie are ***,when the transmission fails,Charlie does not need to integrate the X-{1+>,1->}basis to measure its own particles,by which quantum resources are *** not only controls the effective transmission of quantum states,but also the usage of classical and quantum ***,the implementation of the quantum circuits,as well as a flow chart and safety analysis of our scheme,is proposed.

关键词： Controlled quantum network coding without information loss quantum teleportation perfect transmission

Artificial intelligence andwireless communications

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Frontiers of Information Technology & Electronic Engineering 2020年第10期21卷 1413-1425页

作者： Jun WANG Rong LI Jian WANG yi-qun GE Qi-fan ZHANG Wu-xian SHI Wireless Technology Laboratory Huawei Technologies Co.Ltd.Hangzhou 310051China Wireless Technology Laboratory Huawei Technologies Co.Ltd.Ottawa K0A3M0Canada

The applications of artificial intelligence(AI)and machine learning(ML)technologies in wireless communications have drawn significant attention *** has demonstrated real success in speech understanding,image identification,and natural language processing domains,thus exhibiting its great potential in solving problems that cannot be easily *** techniques have become an enabler in wireless communications to fulfill the increasing and diverse requirements across a large range of application *** this paper,we elaborate on several typical wireless scenarios,such as channel modeling,channel decoding and signal detection,and channel coding design,in which AI plays an important role in wireless ***,AI and information theory are discussed from the viewpoint of the information ***,we discuss some ideas about how AI techniques can be deeply integrated with wireless communication systems.

关键词： Wireless communications Artificial intelligence Machine learning

在线全文

学校读者我要写书评

暂无评论

天然5-脂氧合酶抑制剂的研究进展

西北药学杂志 2022年第4期37卷 194-198页

作者：郑花婵贺依依何苗徐虹宋小妹邓翀张化为王薇姜祎陕西中医药大学药学院咸阳712046 陕西省中药基础与新药研究重点实验室咸阳712046

目的总结国内外有关5-脂氧合酶(5-LOX)所引起的疾病和天然5-LOX抑制剂的研究进展。方法通过查阅国内外文献,综述5-LOX在卵巢组织、脑组织、心组织及肾组织等的活性和表达,并对天然5-LOX抑制剂的研究进展进行总结。结果5-LOX在多种疾病... 详细信息

目的总结国内外有关5-脂氧合酶(5-LOX)所引起的疾病和天然5-LOX抑制剂的研究进展。方法通过查阅国内外文献,综述5-LOX在卵巢组织、脑组织、心组织及肾组织等的活性和表达,并对天然5-LOX抑制剂的研究进展进行总结。结果5-LOX在多种疾病的发生发展中有一定程度的表达,天然5-LOX抑制剂对于加强相关疾病的治疗、预防和减少相关疾病的发生可提供更多新思路。结论抑制5-LOX并寻找天然的5-LOX抑制剂对多种疾病机制及治疗有重要作用。

关键词： 5-脂氧合酶(5-LOX) 天然植物活性