针对传统时变图信号重构算法重构精度较低的问题,提出了一种基于全局采样集优化的联合多维度平滑性时变图信号重构算法(Joint Multidimensional Smoothness Time-Varying Graph Signal Reconstruction Based on Global Sampling Set Opt...针对传统时变图信号重构算法重构精度较低的问题,提出了一种基于全局采样集优化的联合多维度平滑性时变图信号重构算法(Joint Multidimensional Smoothness Time-Varying Graph Signal Reconstruction Based on Global Sampling Set Optimization,JMSR-GSSO-TVGS)。研究对象为加权无向图上的时变图信号。首先提出一种采样集优化方法,采样时根据图结构中节点的区域关联性对图结构分簇,并在每个簇中按一定采样比例对节点进行优选,获得优化采样集;其次进一步挖掘时变图信号在空时域的平滑性;最后在优选采样集的基础上利用时变图信号多维度的平滑性对信号进行全局重构。仿真实验验证了JMSR-GSSO-TVGS的重构可靠性。展开更多
本文收集了环烷烃类、环烯烃类、酮类、胺类、醚类、酯类等有机物在固定相角鲨烷和SE-30上的气相色谱保留指数,并采用基于Monte Carlo采样的模型集群分析（Monte Carlo sampling model population analysis,MCS MPA）方法进行了定量结构...本文收集了环烷烃类、环烯烃类、酮类、胺类、醚类、酯类等有机物在固定相角鲨烷和SE-30上的气相色谱保留指数,并采用基于Monte Carlo采样的模型集群分析（Monte Carlo sampling model population analysis,MCS MPA）方法进行了定量结构-色谱保留指数相关关系建模方法的比较研究。对于两种固定相上的有机化合物,分别采用不同的分子描述符予以表征,分子描述符的选择基于统计学与遗传算法。采用的建模方法包括多元线性回归（multivariate linear regression,MLR）、支持向量机回归（support vector machine,SVM）、径向基函数人工神经网络方法（radial basis function artificial neural networks,RBF ANN）,通过所建模型预测了独立外部测试样本的气相色谱保留指数。研究结果表明,对于本文所研究的数据,SVM回归方法的建模效果优于MLR与RBF ANN方法。展开更多
Mycoplasma hyopneumoniae is an important pathogen causing Mycoplasmal pneumonia of swine, which generally causes secondary infections and mixed infections, thus seriously threats the development of swine industry and ...Mycoplasma hyopneumoniae is an important pathogen causing Mycoplasmal pneumonia of swine, which generally causes secondary infections and mixed infections, thus seriously threats the development of swine industry and resulting in huge economic losses. Using PCR technology has very important significance to the correct diagnosis of Mycoplasmal pneumonia at the early stage. In this paper, specific target genes of Mycoplasma hyopneumoniae, methods for clinical sample collection, key technical factors of DNA sample processing method, and the research progress, main advantages and disadvantages, and application of general PCR technology, multiple PCR technology, nested-PCR technology, real-time fluorescence quantitative PCR technology, gene chip detection technology and loop-mediated isothermal amplification in detection of Mycoplasma hyopneumoniae were summarized, which provided convenience for the effective diagnosis and prevention of Mycoplasmal pneumonia of swine.展开更多
[Objective] The research aimed to provide the genetic basis for the protection, development and utilization of Guizhou local pig breeds. [Method] From 27 pairs of porcine microsatellite primers recommended by Food and...[Objective] The research aimed to provide the genetic basis for the protection, development and utilization of Guizhou local pig breeds. [Method] From 27 pairs of porcine microsatellite primers recommended by Food and Agriculture Organization of the United Nations （FAO） and international Society for Animal Genetics （ISAG）, six pairs （S0155, SW240, IGF1, SW951, SW857, SW24） were selected for microsatellite DNA detection of three Guizhou local pig breeds, including Nuogu Pig, Kele Pig and Guanling Pig. Subsequently, their genetic diversities were analyzed. [ Result] The three pig breeds were high polymorphic at the six microsatellite loci （PIC 〉0.5）. The Nei＇s standard genetic distance of them was 0.206 3 -0.481 5. The genetic distance between Nuogu Pig and Kele Pig Was the closest, and that between Nuogu Pig and Guanling Pig was the furthest. [ Conclusion] The three Guizhou local pig breeds are in high genetic diversities. Nuogu Pig is a special type of Kele Pig, an excellent Chinese local pig breed.展开更多
There are some limitations when we apply conventional methods to analyze the massive amounts of seismic data acquired with high-density spatial sampling since processors usually obtain the properties of raw data from ...There are some limitations when we apply conventional methods to analyze the massive amounts of seismic data acquired with high-density spatial sampling since processors usually obtain the properties of raw data from common shot gathers or other datasets located at certain points or along lines. We propose a novel method in this paper to observe seismic data on time slices from spatial subsets. The composition of a spatial subset and the unique character of orthogonal or oblique subsets are described and pre-stack subsets are shown by 3D visualization. In seismic data processing, spatial subsets can be used for the following aspects： （1） to check the trace distribution uniformity and regularity; （2） to observe the main features of ground-roll and linear noise; （3） to find abnormal traces from slices of datasets; and （4） to QC the results of pre-stack noise attenuation. The field data application shows that seismic data analysis in spatial subsets is an effective method that may lead to a better discrimination among various wavefields and help us obtain more information.展开更多
文摘针对传统时变图信号重构算法重构精度较低的问题,提出了一种基于全局采样集优化的联合多维度平滑性时变图信号重构算法(Joint Multidimensional Smoothness Time-Varying Graph Signal Reconstruction Based on Global Sampling Set Optimization,JMSR-GSSO-TVGS)。研究对象为加权无向图上的时变图信号。首先提出一种采样集优化方法,采样时根据图结构中节点的区域关联性对图结构分簇,并在每个簇中按一定采样比例对节点进行优选,获得优化采样集;其次进一步挖掘时变图信号在空时域的平滑性;最后在优选采样集的基础上利用时变图信号多维度的平滑性对信号进行全局重构。仿真实验验证了JMSR-GSSO-TVGS的重构可靠性。
文摘本文收集了环烷烃类、环烯烃类、酮类、胺类、醚类、酯类等有机物在固定相角鲨烷和SE-30上的气相色谱保留指数,并采用基于Monte Carlo采样的模型集群分析（Monte Carlo sampling model population analysis,MCS MPA）方法进行了定量结构-色谱保留指数相关关系建模方法的比较研究。对于两种固定相上的有机化合物,分别采用不同的分子描述符予以表征,分子描述符的选择基于统计学与遗传算法。采用的建模方法包括多元线性回归（multivariate linear regression,MLR）、支持向量机回归（support vector machine,SVM）、径向基函数人工神经网络方法（radial basis function artificial neural networks,RBF ANN）,通过所建模型预测了独立外部测试样本的气相色谱保留指数。研究结果表明,对于本文所研究的数据,SVM回归方法的建模效果优于MLR与RBF ANN方法。
基金Supported by National Natural Science Foundation of China(31100135)Agricultural Independent Innovation Fund of Jiangsu Province[CX(11)4038]~~
文摘Mycoplasma hyopneumoniae is an important pathogen causing Mycoplasmal pneumonia of swine, which generally causes secondary infections and mixed infections, thus seriously threats the development of swine industry and resulting in huge economic losses. Using PCR technology has very important significance to the correct diagnosis of Mycoplasmal pneumonia at the early stage. In this paper, specific target genes of Mycoplasma hyopneumoniae, methods for clinical sample collection, key technical factors of DNA sample processing method, and the research progress, main advantages and disadvantages, and application of general PCR technology, multiple PCR technology, nested-PCR technology, real-time fluorescence quantitative PCR technology, gene chip detection technology and loop-mediated isothermal amplification in detection of Mycoplasma hyopneumoniae were summarized, which provided convenience for the effective diagnosis and prevention of Mycoplasmal pneumonia of swine.
基金Supported by Key Project of Agriculture in Guizhou Province (NY[2008]3042)~~
文摘[Objective] The research aimed to provide the genetic basis for the protection, development and utilization of Guizhou local pig breeds. [Method] From 27 pairs of porcine microsatellite primers recommended by Food and Agriculture Organization of the United Nations （FAO） and international Society for Animal Genetics （ISAG）, six pairs （S0155, SW240, IGF1, SW951, SW857, SW24） were selected for microsatellite DNA detection of three Guizhou local pig breeds, including Nuogu Pig, Kele Pig and Guanling Pig. Subsequently, their genetic diversities were analyzed. [ Result] The three pig breeds were high polymorphic at the six microsatellite loci （PIC 〉0.5）. The Nei＇s standard genetic distance of them was 0.206 3 -0.481 5. The genetic distance between Nuogu Pig and Kele Pig Was the closest, and that between Nuogu Pig and Guanling Pig was the furthest. [ Conclusion] The three Guizhou local pig breeds are in high genetic diversities. Nuogu Pig is a special type of Kele Pig, an excellent Chinese local pig breed.
文摘There are some limitations when we apply conventional methods to analyze the massive amounts of seismic data acquired with high-density spatial sampling since processors usually obtain the properties of raw data from common shot gathers or other datasets located at certain points or along lines. We propose a novel method in this paper to observe seismic data on time slices from spatial subsets. The composition of a spatial subset and the unique character of orthogonal or oblique subsets are described and pre-stack subsets are shown by 3D visualization. In seismic data processing, spatial subsets can be used for the following aspects： （1） to check the trace distribution uniformity and regularity; （2） to observe the main features of ground-roll and linear noise; （3） to find abnormal traces from slices of datasets; and （4） to QC the results of pre-stack noise attenuation. The field data application shows that seismic data analysis in spatial subsets is an effective method that may lead to a better discrimination among various wavefields and help us obtain more information.
