样本

C4d was expressed in 37% of biopsies with or without AR, but in 50% of biopsies with severe vascular lesions.

在所有活检样本中，有37%的样本合并C4d表达，但是50%的活检样本合并严重的血管损伤。

Automatic color transfer effectively solves this issue. Carve up Roseau and subtractive clustering is applied in this paper. Completely automatic algorithm implementation is realized. In clustering, pixels are selected according to their brightness, and those with larger data density are cluster to sample block. First of colors in the same block are transferred first, others are transferred later.

本文将网格划分减法聚类应用到颜色迁移中，完全实现算法的自动化，聚类方法按照亮度值的大小依次聚类，从各个聚类域中提取出数据点密度较大的像素点集组成样本块，首先对每个样本块间进行颜色迁移，再完成样本块以外的其他像素的颜色迁移。

It may carry on the test in the different sample, including blood, cheek cavity cell, tissue cell sample and seminal fluid sample.

它可以在不同的样本上进行测试，包括血液，腮腔细胞，组织细胞样本和精液样本。

When giving a new sample, DNMF makes use of the code matrix and base matrix factorized from the original dataset to initialize the factorization of new samples set.

当增加样本时，DNMF使用原样本集分解产生的编码矩阵和基矩阵对新样本集的分解进行初始化，使迭代从接近于阈值的位置开始，有效的减少了迭代次数，缩短了收敛时间。

Based on the different Ontology tree structures,namely nodes,edges,and sub-trees,various lexical-semantic relations,including synonymy,paternity,and semantic isomorphs,are applied into text virtual example constructing.

初步实验表明，该方法与原分类及类似方法相比具有更好的分类精度和推广能力。1引言虚拟样本是对机器学习中的实际样本集进行某种知识驱动下的扩展，所获得的人工生成样本。

Analyses of a neighbor-joining tree of identified DNA haplotypes and F values between samples, and an analysis of molecular variance revealed significant genetic differences between samples from Portugal and Taiwan, but no differentiation among the samples from Taiwan. These results suggested that the common mackerels off Taiwan belong to the single gene pool.

单基因型之neighbor-joining树、族群样本间之FST值及分子变方等分析显示葡萄牙及台湾之三族群样本间皆有显著之遗传差异，但台湾之三族群样本间并无显著差异；此结果指出台湾附近之白腹鲭属於单－基因库。

Based on the different properties among anomalies, anomalies are divided into two classes: outliers and violators.

根据异常样本的不同特点，可以将其分为离群样本和违规样本两类。

A novel kind of Ordination-Fuzzy min-max neural network based on non-metric multidimensional scaling was proposed to solve the classification problems of unlabeled input pattern. Firstly, all the input patterns were sorted by MDS to get their similarity measures. Then these measures were used to supervise the following expansion and contraction stage of hyperboxes for classification. OFMM had improvements both in the validity of unlabelled patterns classification, and the network structure and training time.

该模型首先利用非刻度—多维度收缩法对输入的所有样本进行了排序，然后获得样本间的相似性测度值，并利用该相似性测度值指导随后的分类器超盒扩张与压缩过程，从而使得该模型不仅提高了对未标记样本进行有效分类的性能，而且无论是在网络结构方面，还是在训练时间方面都有所改进。

After that, I use those attributes to run cluster analysis with all the scattered sherds.

为了了解陶容器能否有效建构，笔者以社口遗址出土的陶质资料进行研究，先以经过修复组合成陶容器的样本为例，对其中的陶片进行属性登录，寻找最适合用来进行陶容器单位建构的分群属性组合；其次，将所选出的属性组合利用统计的集群分析方法套用在未知群组的陶片样本中，依照分群的结果建构出陶容器单位，并且根据样本分布的状况检视陶容器单位的建构成果是否能被认定为有效。

Based on this,189 bridgesin the actual projects as a sample were selected,the connection between static test result anddanymic test result was built in this paper in order to assess the structure\'s bearing capacity bydynamic characteristics of bridge.The main contents are as followings:(1)On the base of actual observation records of bridge samples,the mechanicalproperties of the assembly slab bridge is obtained,and the mechanical characteristic ofhinged joint and bridge deck,the distribution of the guard rail in transverse direction are alsodiscussed.Based on the above analysis,the rational theoretical model is built,which offerssome reference to assess the structure\'s bearing capacity.

基于此，本文在实际工程项目中选取189座板桥作为样本，通过对样本桥梁实测静载挠度、应变和动载频率进行统计回归分析，建立桥梁结构动载试验结果与静载试验结果之间的关系，通过桥梁结构动力特性来评定结构承载力，论文主要完成了以下几个方面的工作：(1)以样本桥梁实测数据为基础反演装配式板桥受力特性，确定各种型式装配式板桥的铰缝受力特点、桥面铺装层受力特点以及护栏沿桥面横向分配原则，以此建立真实反映装配式板桥受力特点的理论计算模型，为装配式板桥承载力评定提供理论计算依据。

I can not make it blossom and suits me

我不能让树为我开花

When temperatures are above approximately 80 °C discolouration of the raceways or rolling elements is a frequent feature.

当温度高于 80 °C 左右时，滚道或滚动元件褪色是很常见的特征。