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106篇 您的检索式:关键字=GSA
    题名 作者 年代 出处 被引量
1The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types显示文摘The Genome Sequence Archive(GSA)is a data repository for archiving raw sequence data,which provides data storage and sharing services for worldwide scientific communities.Considering explosive data growth with diverse data types,here we present the GSA family by expanding into a set of resources for raw data archive with different purposes,namely,GSA(https://ngdc.cncb.ac.cn/gsa/),GSA for Human(GSA-Human,https://ngdc.cncb.ac.cn/gsa-human/),and Open Archive for Miscellaneous Data(OMIX,https://ngdc.cncb.ac.cn/omix/).Compared with the 2017 version,GSA has been significantly updated in data model,online functionalities,and web interfaces.GSA-Human,as a new partner of GSA,is a data repository specialized in human genetics-related data with controlled access and security.OMIX,as a critical complement to the two resources mentioned above,is an open archive for miscellaneous data.Together,all these resources form a family of resources dedicated to archiving explosive data with diverse types,accepting data submissions from all over the world,and providing free open access to all publicly available data in support of worldwide research activities.Tingting Chen Xu Chen Sisi Zhang Junwei Zhu Bixia Tang Anke Wang Lili Dong Zhewen Zhang Caixia Yu Yanling Sun Lianjiang Chi Huanxin Chen Shuang Zhai Yubin Sun Li Lan Xin Zhang Jingfa Xiao Yiming Bao Yanqing Wang Zhang Zhang Wenming Zhao 2021Genomics, Proteomics & Bioinformatics2021,19,4:38
2基于改进GSA-SVM模型的电力变压器故障诊断显示文摘准确评估输变电设备运行状态是电力企业生产技术工作的核心内容。为提高电力变压器故障诊断精度,避免传统引力搜索算法(GSA)自身收敛速度慢且易陷入局部最优区等不足,提出一种利用混沌序列改进GSA的支持向量机(SVM)模型,用于电力变压器故障诊断中。首先利用混沌序列来增加重力粒子的多样性,目的是避免在其训练时陷入局部最优区;然后利用改进的GSA算法来优化SVM模型自身的参数,从而提升该模型的预测准确率;最后将预测结果与其他3种传统诊断模型的预测结果进行了对比分析,结果表明利用混沌序列改进的GSA-SVM模型有着更好的泛化能力以及更高的分类准确率。咸日常 范慧芳 李飞 高鸿鹏 陈蕾 2022智慧电力2022,50,6:22
3Path planning of unmanned aerial vehicle based on improved gravitational search algorithm显示文摘Path planning of Uninhabited Aerial Vehicle(UAV) is a complicated global optimum problem.In the paper,an improved Gravitational Search Algorithm(GSA) was proposed to solve the path planning problem.Gravitational Search Algorithm(GSA) is a newly presented under the inspiration of the Newtonian gravity,and it is easy to fall local best.On the basis of introducing the idea of memory and social information of Particle Swarm Optimization(PSO),a novel moving strategy in the searching space was designed,which can improve the quality of the optimal solution.Subsequently,a weighted value was assigned to inertia mass of every agent in each iteration process to accelerate the convergence speed of the search.Particle position was updated according to the selection rules of survival of the fittest.In this way,the population is always moving in the direction of the optimal solution.The feasibility and effectiveness of our improved GSA approach was verified by comparative experimental results with PSO,basic GSA and two other GSA models.LI Pei DUAN HaiBin 2012Science China(Technological Sciences)2012,55,10:20
4肝细胞受体显像剂^(99)Tc^m-GSA的制备及其药盒化显示文摘合成了二乙烯三胺五乙酸-半乳糖基人血清白蛋白(Diethylenetriamine Pentaacetic Acid-galactosyl-hu-man Serum Albumin,GSA),对其进行了99Tcm标记;进一步研制了无菌GSA一步法冻干药盒,并观察了99Tcm-GSA在正常小鼠以及肝损伤模型小鼠中的生物分布。标记结果显示,99Tcm-GSA的标记率>96%。生物分布结果显示,99Tcm-GSA在正常小鼠肝脏中有较高的摄取,在30 min时,肝脏摄取仍大于70%ID/g,且具有饱和性;在肝损伤模型中,肝摄取值低于正常小鼠(P=0.032 4)。冻干药盒法与湿法标记所得99Tcm-GSA的生物分布相当。所得GSA一步法冻干药盒标记简单可靠,并且标记后的GSA仍有优良的生物性能,可用于进一步临床研究及应用。毛一雷 董一女 杨文江 张现忠 唐志刚 王学斌 2008同位素2008,21,2:16
5偏头痛大鼠脑干组织G蛋白亚基Gsa和Gia含量的变化显示文摘目的 观察实验性偏头痛大鼠脑干组织 (Gsa和Gia)G蛋白两个亚基含量的变化 ,探讨其在偏头痛发作时的作用。方法 皮下注射硝酸甘油 ( 10mg/Kg)建立实验性偏头痛大鼠模型 ,将动物随机分成正常对照、生理盐水对照和模型组 ,运用免疫印迹法 (Westernblot)检测脑干组织Gia和Gsa含量。结果 皮下注射硝酸甘油 4h后脑干组织Gsa蛋白含量明显升高 (P <0 0 1) ,Gia蛋白含量明显降低 (P <0 0 1) ,Gsa/Gia蛋白比值升高。结论 偏头痛发作可能与大鼠脑干组织G蛋白信号传导系统功能障碍有关。李炜 钟广伟 王素蛾 李臻琰 文玲波 邓干初 2004中国医师杂志2004,6,4:13
6GSA:Genome Sequence Archive显示文摘With the rapid development of sequencing technologies towards higher throughput and lower cost, sequence data are generated at an unprecedentedly explosive rate. To provide an efficient and easy-to-use platform for managing huge sequence data, here we present Genome Sequence Archive(GSA; http://bigd.big.ac.cn/gsa or http://gsa.big.ac.cn), a data repository for archiving raw sequence data. In compliance with data standards and structures of the International Nucleotide Sequence Database Collaboration(INSDC), GSA adopts four data objects(Bio Project, Bio Sample,Experiment, and Run) for data organization, accepts raw sequence reads produced by a variety of sequencing platforms, stores both sequence reads and metadata submitted from all over the world,and makes all these data publicly available to worldwide scientific communities. In the era of big data, GSA is not only an important complement to existing INSDC members by alleviating the increasing burdens of handling sequence data deluge, but also takes the significant responsibility for global big data archive and provides free unrestricted access to all publicly available data in support of research activities throughout the world.Yanqing Wang Fuhai Song Junwei Zhu Sisi Zhang Yadong Yang Tingting Chen Bixia Tang Lili Dong Nan Ding Qian Zhang Zhouxian Bai Xunong Dong Huanxin Chen Mingyuan Sun Shuang Zhai Yubin Sun Lei Yu Li Lan Jingfa Xiao Xiangdong Fang Hongxing Lei Zhang Zhang Wenming Zhao 2017Genomics, Proteomics & Bioinformatics2017,15,1:13
7同一氮素水平不同NO_3^-/NH_4^+对NRA和GSA的影响显示文摘为确定硝态氮和氨态氮的最佳配方,以达到氮肥的最佳调控,试验研究了不同的NO3-/NH4+对甜菜同化关键酶的影响。结果表明,在整个生育期间,同一氮素水平、不同比例的NO3-/NH4+的NRA变化趋势与单一施硝态氮、氨态氮的NRA变化趋势一致,在生育前期较高,而后下降。但不同比例的NO3-/NH4+的NR活力不同,以NO3-/NH4+为3∶1的NR活力最高,而以NO3-/NH4+为0∶4的NR活力最低。在根和叶片中,不同比例的NO3-/NH4+的GS活力变化不同,在叶片中GS活力随NO3-比例增加而增加,但在根中,GS活力则随NH4+的比例增加而增加。赵越 魏自民 马凤鸣 2002东北农业大学学报2002,33,4:10
8欧洲三种烟气循环流化床脱硫技术及经济分析显示文摘介绍德国、丹麦烟气循环流化床的脱硫工艺及流程,并展望了在我国的应用前景。薛建明 马果骏 2003中国环保产业2003,,1:6
9基于GSA的电力系统不良数据辨识算法显示文摘随着数字化技术在电力系统中的广泛应用及对电力系统运行可靠性要求的不断提高,不良数据的辨识显得越来越重要。目前广泛应用的状态估计法,存在残差污染等缺点。论文研究了建立在神经网络和聚类分析基础上的GSA不良数据辨识算法,该算法运用神经网络完成对测量数据的预处理,然后由GSA算法对聚类分析后的结果进行判断,完成不良数据的辨识。论文借助M atlab及C语言对GSA算法进行了仿真,通过一个具体的网络不良数据辨识将此算法与状态估计算法进行了比较,验证了该算法的有效性及实用性,有效地避免了不良数据的漏检、误检。杨伟 胡军 吴军基 2005继电器2005,33,22:6
10基于经验模态二次分解的改进门控循环单元风速超短期组合预测模型显示文摘针对风力发电的风速时间序列非平稳特性和预测精度不高的问题,提出了一种基于改进集合经验模态分解(modified ensemble empirical mode decomposition, MEEMD)-局部均值分解(local mean decomposition, LMD)-引力搜索算法(gravitational search algorithm, GSA)-门控循环单元(gated recurrent unit, GRU)的超短期组合风速预测模型。首先利用MEEMD将风速序列分解为本征模态函数(intrinsic mode function, IMF)分量,求出各IMF分量的样本熵(sample entropy, SE),根据样本熵值的大小,量化其IMF分量的复杂性,对复杂性较高的IMF1分量采用LMD进行二次分解,然后对各分量建立经GSA优化的GRU神经网络预测模型,最后通过叠加得到风速的预测值。通过算例分析证明,所提的预测模型比其他几个单一和组合预测模型的预测精度高,可适用于风速的超短期预测。颉清云 宋连庆 何永康 2021国外电子测量技术2021,40,6:5
11浅析InfiniBand结构中的通用服务显示文摘本文介绍了IBA规范中通用服务的基本原理及重定向技术,同时说明了性能管理的基本流程。金红 刘红云 2004高性能计算技术2004,0,2:4
12LTE商用挑战及展望显示文摘LTE正处于商用初期,但发展快速。全球LTE商用网络数量快速增加,根据GSA的统计,截至2013年7月底,全球LTE商用网络数量达到200个,其中包括9个TDD和9个FDD/TDD双模网络,GSA预测,2013年底全球LTE商用网络规模将达到260个。LTE用户发展迅猛,根据Informa的统计,截至2013年6月,李珊 2013移动通信2013,37,17:3
13Dual-wavelength single-longitudinal-mode fiber laser with switchable wavelength spacing based on a graphene saturable absorber显示文摘We propose and demonstrate a dual-wavelength single-longitudinal-mode(SLM) fiber laser with switchable wavelength spacing based on a graphene saturable absorber(GSA) and a Wave Shaper. By virtue of the excellent saturable absorption ability of graphene, the linewidths of the lasing wavelengths can be effectively reduced and eventually SLM operation can be obtained. The linewidths of both wavelengths are measured to be narrower than 7.3 kHz. The obtained results suggest that the graphene would be a good candidate nonlinear optical material for applications in related photonic fields, such as SLM oscillation generation for microwave generation and optical sensing.Jingjuan Zhou Aiping Luo Zhichao Luo Xudong Wang Xinhuan Feng Bai-ou Guan 2015Photonics Research2015,3,2:2
14循环悬浮式半干法脱硫工艺在火电厂的应用显示文摘阐述了自主研发的循环悬浮式半干法脱硫工艺在某电厂的应用,详细阐述了循环悬浮式半干法脱硫工艺的技术特点以及该工艺在某电厂应用时的参数设置。对循环悬浮式半干法在燃煤电厂烟气脱硫的应用有一定的参考价值。陈作炳 张雷 石志良 2011武汉理工大学学报(信息与管理工程版)2011,33,4:2
15遗传模拟退火算法在水质模型参数估值中的应用研究显示文摘在传统遗传算法 (GeneticAlgorithms,GA)基础上引入模拟退火技术 (SimulatedAnnealing,SA) ,提出了遗传模拟退火算法 (GSA) ,并将其应用到水质模型参数估值中。计算结果表明 ,GSA法综合了 2种优化方法各自的优点 ,不但克服了传统GA容易早熟的缺点 ,还加强了算法的收敛速度 ,因而具有良好的优化性能。不同的参数估值方法比较进一步验证了新方法的有效性。王薇 曾光明 秦肖生 2003环境工程2003,21,4:2
16基于特征重整及优化训练的遮挡人脸识别算法显示文摘以ResNet50网络为基础网络,提出了使用信息熵的权重特征对池化层的信息进行优化,在不增加额外参数的情况下使得网络特征提取更加充分;同时提出了改进型PSO(粒子群)算法对卷积网络误差反向传播阶段进行优化,通过比较GSA(引力搜索)优化前后最优粒子的适应度函数值,以此确保每次迭代中获得全局最优粒子.实验结果表明本文提出的方法有助于人脸的识别,尤其是在遮挡人脸的识别中,同时优化后的网络的训练收敛速度和识别速度也有了明显提升.邹鹏 杨治昆 李锴淞 2021大连交通大学学报2021,42,3:2
17IPSec的多源多播组安全关联(GSA)管理机制的研究显示文摘GDOI 是一个支持 IPSec 等数据安全协议保护多播应用安全的组密钥管理协议。本文首先论述了应用 IPSec保护多播数据安全的重要意义,接着分析了 GDOI 协议的工作机制,并讨论了基于 GDOI 密钥管理协议的 IPSec 多播的安全性及其只适用于单源多播的局限性。根据 IPSec 协议的特点和多播应用的要求,提出了对 GDOI 协议的扩展建议,描述了扩展协议的工作过程,并基于用户主机完成了部分模拟实验。分析和实验说明该方案是可行的,扩展后的GDOI 协议能够支持基于 IPSec 的多源多播。韩秀玲 王行愚 2004计算机科学2004,31,8:2
18Quantitative index calculated by ^(99m)Tc-GSA scintigraphy显示文摘99mTc-galactosyl human serum albumin(GSA) scintigraphy is useful to evaluate hepatic function and hepatic functional reserve. A reliable SPECT and CT integrated system is now commercially available. Using this system, we can obtain 99mTc-GSA SPECT/CT fused imaging with a small registration error. Therefore, the 99mTc-GSA scintigraphy techniques prove more useful in clinical practice than have been previously reported. In the latest Annals of Surgical Oncology on Oct 2014, the uptake index(UI) values calculated from 99mTc-GSA scintigraphy are reported to be useful for predicting the functional reserve of the future remnant liver. In this paper, we describe the usefulness of 99mTc-GSA scintigraphy as well as some cautions that are necessary as regards using the system.Morikatsu Yoshida Shinya Shiraishi Noriko Tsuda Fumi Sakamoto Seiji Tomiguchi Yasuyuki Yamashita 2014Chinese Journal of Cancer Research2014,26,6:2
19万有引力搜索算法改进及仿真验证显示文摘针对万有引力搜索算法(GSA)求解函数优化问题时易陷入局部最优且优化精度不高的问题,提出一种改进的万有引力搜索算法(IGSA)。IGSA算法引入了时变权重和边界变异策略,改善了全局搜索能力和局部优化能力。通过求解无约束优化问题进行仿真验证,结果表明,改进的万有引力搜索算法具有更好的优化性能。杨青 张金格 吉孟然 2015沈阳理工大学学报2015,34,6:2
20Improved gravitational search algorithm based on free search differential evolution显示文摘This paper presents an improved gravitational search algorithm (IGSA) as a hybridization of a relatively recent evolutionary algorithm called gravitational search algorithm (GSA), with the free search differential evolution (FSDE). This combination incorporates FSDE into the optimization process of GSA with an attempt to avoid the premature convergence in GSA. This strategy makes full use of the exploration ability of GSA and the exploitation ability of FSDE. IGSA is tested on a suite of benchmark functions. The experimental results demonstrate the good performance of IGSA.Yong Liu Liang Ma 2013Journal of Systems Engineering and Electronics2013,24,4:1
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