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51.
运用现代教育技术提高教学效率是民族地区普通中学发展的必由之路。只有正确认识民族地区普通中学教育技术应用的背景,加强对此类教学资源的管理,才能使之更好服务于教学,提高民族地区教学实践活动的效率。 相似文献
52.
晋西北山曲、陕北信天游、内蒙古原绥远地区的爬山歌 ,体例相同 ,词曲相近 ,共同构成我国北方单独的一个民歌圈 ,其生成与清代民国时期的“走西口”移民运动密切相关。在“走西口”过程中 ,晋西北、陕北人口大批向河套及大青山前后地区移居 ,形成以山西河曲、保德人和陕西府谷、神木、榆林人为核心的“河府移民圈” ,人口同源支持了民歌共性。长盛不衰的雁行式“走西口”生活 ,不断刺激着民歌的创造与发达 ,使三地民歌的交汇共生走向高潮 ,在发展中推动了三地民歌的同质化过程。 相似文献
53.
54.
After initiation of treatment, HIV viral load has multiphasic changes, which indicates that the viral decay rate is a time-varying process. Mixed-effects models with different time-varying decay rate functions have been proposed in literature. However, there are two unresolved critical issues: (i) it is not clear which model is more appropriate for practical use, and (ii) the model random errors are commonly assumed to follow a normal distribution, which may be unrealistic and can obscure important features of within- and among-subject variations. Because asymmetry of HIV viral load data is still noticeable even after transformation, it is important to use a more general distribution family that enables the unrealistic normal assumption to be relaxed. We developed skew-elliptical (SE) Bayesian mixed-effects models by considering the model random errors to have an SE distribution. We compared the performance among five SE models that have different time-varying decay rate functions. For each model, we also contrasted the performance under different model random error assumptions such as normal, Student-t, skew-normal, or skew-t distribution. Two AIDS clinical trial datasets were used to illustrate the proposed models and methods. The results indicate that the model with a time-varying viral decay rate that has two exponential components is preferred. Among the four distribution assumptions, the skew-t and skew-normal models provided better fitting to the data than normal or Student-t model, suggesting that it is important to assume a model with a skewed distribution in order to achieve reasonable results when the data exhibit skewness. 相似文献
55.
"邻里汇"作为一种社区公共服务供给新模式,在公共服务领域有其独特的优势."邻里汇"汇集了养老、康复、助餐、助浴和社区生活服务等功能,成为社区居民休闲的汇聚地.要尽力争取让各年龄、各阶层的居民都能走出家门,一起加入"邻里汇"的大家庭中.有了社区居民的积极参与,才能将"邻里汇"建设成为促进社区和谐、满足多元需求的社区服务载体,营造出睦邻互助的良好氛围. 相似文献
56.
随着经济全球化发展,文化的交流日益频繁,文化的多样性与创新的需求使人们接受了文化融合设计.该文从入口空间的角度阐释了中西方建筑入口的发展演变,运用比较的方法分析和总结了中西方传统建筑入口空间的差异,从中借鉴其设计精髓和文化,以便探索现代入口空间的中西方文化融合设计方法.希望该文的论述能有助于我国入口空间设计的发展. 相似文献
57.
英语教学中的文化渗透 总被引:2,自引:0,他引:2
英语国家社会文化和汉语文化存在着很大差异,在英语教学中,不但要教会学生英语语言本身,也要传授给学生英语语言中所承载的社会文化内涵,使学生学到真正地道的英语,从而真正达到文化交流的目的。 相似文献
58.
劳务派遣作为一种灵活的用工形式,受到我国各类用人单位的青睐和广泛运用。2013年《劳动合同法》修订弥补了我国劳务派遣制度上的不足,但由于起步时间较晚,加上制度的复杂性,存在工伤赔偿制度的责任划分不清晰、工伤保险待遇先行支付具体操作存在困难、异地劳务派遣工伤保险制度执行不明确等方面的问题。我国需要从确立《劳动合同法》中派遣单位与用工单位的具体责任分担制度、完善劳务派遣工伤待遇先行支付规定、明确异地保险制度相关规定等方面入手,进一步完善工伤保险制度在劳务派遣用工中的适用,有效保护被派遣劳动者的合法权益。 相似文献
59.
In high-dimensional linear regression, the dimension of variables is always greater than the sample size. In this situation, the traditional variance estimation technique based on ordinary least squares constantly exhibits a high bias even under sparsity assumption. One of the major reasons is the high spurious correlation between unobserved realized noise and several predictors. To alleviate this problem, a refitted cross-validation (RCV) method has been proposed in the literature. However, for a complicated model, the RCV exhibits a lower probability that the selected model includes the true model in case of finite samples. This phenomenon may easily result in a large bias of variance estimation. Thus, a model selection method based on the ranks of the frequency of occurrences in six votes from a blocked 3×2 cross-validation is proposed in this study. The proposed method has a considerably larger probability of including the true model in practice than the RCV method. The variance estimation obtained using the model selected by the proposed method also shows a lower bias and a smaller variance. Furthermore, theoretical analysis proves the asymptotic normality property of the proposed variance estimation. 相似文献
60.
Yunlu Jiang Yan Wang Jiantao Zhang Baojian Xie Jibiao Liao Wenhui Liao 《Journal of applied statistics》2021,48(2):234
This paper studies the outlier detection and robust variable selection problem in the linear regression model. The penalized weighted least absolute deviation (PWLAD) regression estimation method and the adaptive least absolute shrinkage and selection operator (LASSO) are combined to simultaneously achieve outlier detection, and robust variable selection. An iterative algorithm is proposed to solve the proposed optimization problem. Monte Carlo studies are evaluated the finite-sample performance of the proposed methods. The results indicate that the finite sample performance of the proposed methods performs better than that of the existing methods when there are leverage points or outliers in the response variable or explanatory variables. Finally, we apply the proposed methodology to analyze two real datasets. 相似文献