反倾销诉讼中行业协会的当事人地位问题

行业协会参与反倾销诉讼,已是国内外通常的做法。但关于其以何种身份参与诉讼,又能将此类诉讼进行到何种程度,理论上还没有形成一致认识。分析了行业协会目前参与反倾销诉讼时的地位困境,并在此基础上进一步对行业协会参与反倾销诉讼中的相关法律地位问题进行深入探讨,提出在现有的诉讼体制下,应该明确参与反倾销诉讼中的行业协会的诉讼当事人资格,并在相关法律规范上予以体现的设想,以此来肯定行业协会参与反倾销诉讼的法律价值。     

教师教育工作中应注意解决的几个问题

要实现综合性大学背景下教师教育的持续发展,更好地为基础教育服务,就必须解决教师教育工作中重学科知识传授轻教育理论学习倾向、弱化教学实践环节倾向、重知识传授忽视能力培养倾向、教师职业道德弱化倾向.     

Assessing the performance of the bootstrap in simulated assemblage networks

Archaeologists are increasingly interested in networks constructed from site assemblage data, in which weighted network ties reflect sites’ assemblage similarity. Equivalent networks would arise in other scientific fields where actors’ similarity is assessed by comparing distributions of observed counts, so the assemblages studied here can represent other kinds of distributions in other domains. One concern with such work is that sampling variability in the assemblage network and, in turn, sampling variability in measures calculated from the network must be recognized in any comprehensive analysis. In this study, we investigated the use of the bootstrap as a means of estimating sampling variability in measures of assemblage networks. We evaluated the performance of the bootstrap in simulated assemblage networks, using a probability structure based on the actual distribution of sherds of ceramic wares in a region with 25 archaeological sites. Results indicated that the bootstrap was successful in estimating the true sampling variability of eigenvector centrality for the 25 sites. This held both for centrality scores and for centrality ranks, as well as the ratio of first to second eigenvalues of the network (similarity) matrix. Findings encourage the use of the bootstrap as a tool in analyses of network data derived from counts.