查询词典 cluster sampling

On the base of predecessors' research, this thesis put theory of the industrial cluster to use, analysising mechanism of the industrial cluster, having a creative consider to the development model of industrial cluster of Guanzhong "one line and two belt".

本文在前人研究的基础上，运用产业集群理论，分析研究产业集群的内在机制，探索产业集群的发展模式，对关中&一线两带&的产业集群发展模式进行了探索性研究。

Influence mechanism of cross-level embeddedness on cluster enterprise cooperative innovation performance addressedAiming at the fact that the study of cluster embeddednedd is still at the periphery of the enterprise behavior,and has not linked effectively with individual behavior within clusters.This dissertation follows academic frontiers and addresses that there is interaction effect among cross-level embeddedness of cluster enterprises.

集群嵌入性的形成机制清晰地勾勒出其对集群企业合作行为影响的内在机理，嵌入性的三个层次分类是具有理论意义的诠释工具和划分维度。

Therefore,the dissertation has constructed the model reflecting the impact of the cross-level embeddedness of cluster enterprises on enterprise cooperative innovation performance,i.e.the conceptual model of cluster enterprise cross-level embeddedness - interorganizational interaction - cooperative innovation performance,based on the interrelationship among cluster enterprise cross-level embeddedness,interorganizational interaction and cooperative innovation performance,and in combination with the literature reviews and on-site investigations.

本文根据集群嵌入性不同层次间、以及其与组织间互动、合作创新绩效之间的关系，结合文献阅读和实地调研，构建了反映集群嵌入性对企业合作创新绩效影响的模型，即&集群嵌入性—组织间互动—合作创新绩效&的概念模型。

Job tittles were involved in the job analysis. Based on rating score of 216 AET items, 11 occupation cluster groups were formed according to hierarchical cluster analysis. The profile analysis was applied to describe the features and occupational stress factors for each cluster group.

应用图象分析对各类职业的劳动系统特征进行了描述，并对劳动系统中可能存在的紧张因素作了分析，结果表明中年职工的多数职业类型具有10项以上的紧张因素，比较常见的因素是工作时间长、缺少工间休息、不良劳动环境和不合理的劳动制度。

Cluster initiatives are involved in a broad range of activities.In fact,two-thirds of allcluster initiatives surveyed had activities in at least five out of six broad activity areas(research/networking,policy lobbying,commercial cooperation,education/training,innovation/technology,and investment attraction).This seems consistent with a view ofcluster-based policy as a prioritization process across many different policies rather thanas new type of program focused only on,say,networking.Interestingly,we find thisbreadth in activities even in relatively young cluster initiatives.Cluster initiatives seem toincrease the intensity of their activities over time,not necessarily the number of parallel efforts.

集群举措，是涉及范围广泛的activities.in事实上，有三分之二的allcluster举措被调查活动中至少有 5个出六个广泛的活动领域（研究/网络，政策的游说，商业合作，教育/培训，创新/技术，并吸引投资），这样的说法似乎并不一致，以期ofcluster为基础的政策，作为一个优先次序的过程中遇到许多不同的政策，而不是thanas新类型的节目，只是集中，也就是说， networking.interestingly ，我们发现thisbreadth在活动，即使在相对年轻集群initiatives.cluster举措似乎toincrease强度，他们的活动随着时间的推移，并不一定数目的平行努力。

Explanation: M4 is a globular cluster visible in dark skies about one degree west of the bright star Antares in the constellation Scorpius. M4 is perhaps the closest globular cluster at 7000 light years, meaning that we see M4 only as it was 7000 years ago, near the dawn of recorded human history. Although containing hundreds of thousands of stars and spanning over 50 light-years, M4 is one of the smallest and sparsest globular clusters known. A particularly unusual aspect for a globular cluster is M4's central bar of stars.

M4是一个肉眼可见的球状星团，位于天蝎座心宿二的东面约一度位置。M4可能是最靠近我们的球状星团距离约7000光年，这意味着我们看到的是7000年以前的M4，即人类历史有文字记载的开始阶段，它跨越50光年包含有数10万颗恒星。M4是已知在尺度及包含恒星数量上最小的球状星团。M4独特之处是它中心的棒状结构。

First, the character clustering algorithm regards the character as our features and then it can cluster these sentences of our target words to the correct group without any other resources. The average precision is 66.1%. Second, in the concept clustering algorithm of the aggregate computing, we use HowNet as the knowledge base of our feature words and obtain the concepts of these words. We cluster the sentences which have the same or similar concepts of the feature words into the same group. And then we can complement some lacks of the character clustering algorithm. The average precision is 72.3%. Third, regarding the concept clustering algorithm of the sememe distance, we use the sememe distance to compute its concept similarity. It improved similarity measure of the concept clustering algorithm of the aggregate computing. It achieves 81% average precision and gets better cluster quality.

词形分群演算法不受语料资源限制，能将词形相似且词义相近的词汇所属的句子分到同一群，经过人工验证，得到了66.1%的平均正确率；基於集合计算的概念分群演算法使用了知网做为撷取特徵词汇的知识库，透过知网取得词汇的概念，将具相同或相似概念的特徵词汇所属的句子分成同一群，补足词形分群演算法的不足，得到72.3%的平均正确率；基於义原距离的概念分群演算法则利用义原间的距离计算特徵概念的相似度，进一步改善了基於集合计算的概念分群演算法在相似度衡量的问题，得到81%的平均正确率，达到更好的分群效果。

Plates of globular cluster M3, taken with the 40cm refractor at Sheshan station of Shanghai Astronomical Observatory, are used by this work. The difference of epoch of these plates is up to 81years. The positions and absolute proper motions of 24 stars in ACT catalogue, which links with the Hipparcos Catalogue based on the International Celestial Reference System, are used as the reference frame. Using the central overlapping principle, the absolute proper motions of 534 stars in the region of about 100'×100' around the cluster are determined. After the membership determination of the stars which based on the data of proper motions, average absolute proper motion components for the cluster of -0.3±0.3 mas/yr in R.A.

本文使用上海天文台佘山40厘米折射望远镜拍摄的14张最长时间跨度为81年的球状星团M3底片的PDS扫描结果，使用与 Hipparcos星表相联系的基于国际大球惯性参考系的ACT星表中的 24颗恒星的位置和绝对自行为参考架，用中心重叠法进行天体测量归算，得到了这个星团中心附近100'×100'天区内534颗恒星的位置和绝对自行，并利用这些自行对成员概率进行了估算，得到这个星团的赤经方向绝对自行为- 0.3±0.3mas/yr，赤纬方向绝对自行为-3.1±0.3mas／yr。

Methods The study was conducted by cluster sampling and stratified sampling.

采用整群抽样和分层抽样相结合的调查方法。

For larger populations, there are two methods of surveillance that are most applicable: systematic random sampling and cluster sampling.

对于数量较多的人群，有两种最适用的监督方法：系统随机抽样和分组抽样。

When this condition occurs, inbound replication with the source partner is stopped on the destination domain controller and event ID 2042 is logged in the Directory Services event log.

计算机密码学是研究计算机信息加密、解密及其变换的科学，是数学和计算机的交义学科，也是一门新兴的学科。

Instructions: click on the thumbnails to see a larger image, then use the left-right arrow keys to scroll through the slideshow.

使用说明：滑鼠点在小图上即可放大观赏。开启后键盘左右键可用来换照片。