高校“空巢老人”工作探究

分析高校"空巢老人"形成的主要原因、心理特点和生活处境,从"空巢老人"子女、高校、社会等角度,探索做好高校"空巢老人"工作的应对策略。文章认为,应建立"空巢老人"档案,实行重点帮扶;加大"空巢老人"的精神自助教育和安全保护教育力度;完善教职工生活区的服务体系;建造高校老年公寓,让需要帮助的高校"空巢老人"入住老年公寓。     

氢原子轨道矩阵元的递推关系式

本文使用超维里定理与升降算符方法,导出了氢原子跃迁矩阵元与平均值计算的一些递推关系式.使用这些递推关系式可克服直接计算公式中交替双重求和所带来的计算机舍入误差,可从少数几个低阶矩阵元出发,求出任意幂次径向算符的矩阵元,从而可为里德堡原子激发态结构的现代研究提供必备的高阶微扰计算公式.     

稻纵卷叶螟实验种群模拟模型

通过5种温度处理(19℃,22℃,25℃,28℃和31℃),探讨稻.卷叶螟实验种群的数量动态.25℃度温度处理组的世代存活率最高(19.7%),种群增长指数最大(14.9倍)。上述两项指标最低的是19℃温度处理组,分别为3.59b和1.18.根据实验结果,组建了该虫实验种群生命表,并建立了模拟种群数量变化的连续模型和等龄期结构的矩阵模型。     

“酮粉法”连续一年监测大群奶牛酮病试验简报

为探寻监测奶牛酮病的方法,试验用“酮粉法”快速检验酮病的效果,探讨安徽省奶牛酮病的发病规律,为防治本病提供科学依据,在一年时间内,连续对安徽合肥保健奶牛场和淮南奶牛一场、二场的泌乳母牛,进行了全面的,每月一次的监测。通过对近一万头次的监测发现,这几个场奶牛酮病的发病率在头年的十一月份到第二年的四月份发病率较高(平均为3.7%),其中二月份发病率最高(6.62%)。     

浅议谢灵运山水诗的创作特色

历代文学评论家对谢灵运的思想和世界观褒贬不一,但就他对山水诗创作的贡献而言却是公认的。本文就谢灵运山水诗的创作风格、艺术手法进行比较全面的阐述,并与陶渊明诗歌特点作以比较,从而更加突出表现谢灵运对我国山水诗创作的杰出贡献。     

软土基坑支护的若干关键问题

本文根据我省大量的基坑工程实践,对基坑支护的五大问题即必要性、选型、围护桩距、构件设计和阻水截渗进行总结性阐述。     

基于教育信息化的高等职业院校教师信息素养养成分析

教育信息化不仅改变了传统的教育教学模式,对高等职业院校教师的信息素养也提出了新的要求。本文阐述了教师信息素养构成,提出提高教师的信息素养的若干培养途径。     

真实语境中的隐喻研究概述(英文)

本文介绍隐喻研究的新趋势——真实语境中的隐喻研究。本文介绍了真实语境中的隐喻研究的研究范围,如何开展语篇隐喻研究,总结出现有的真实语境研究,并指出基于真实语境开展隐喻研究的重要性和必要性。     

There’s something about Mary: The moral value of things <Emphasis Type="Italic">qua</Emphasis> information objects

Luciano Floridi argues that every existing entity is deserving of at least minimal moral respect in virtue of having intrinsic value qua information object. In this essay, I attempt a comprehensive assessment of this important view as well as the arguments Floridi offers in support of it. I conclude both that the arguments are insufficient and that the thesis itself is substantively implausible from the standpoint of ordinary intuitions.     

Enhancing query translation with relevance feedback in translingual information retrieval

As an effective technique for improving retrieval effectiveness, relevance feedback (RF) has been widely studied in both monolingual and translingual information retrieval (TLIR). The studies of RF in TLIR have been focused on query expansion (QE), in which queries are reformulated before and/or after they are translated. However, RF in TLIR actually not only can help select better query terms, but also can enhance query translation by adjusting translation probabilities and even resolving some out-of-vocabulary terms. In this paper, we propose a novel relevance feedback method called translation enhancement (TE), which uses the extracted translation relationships from relevant documents to revise the translation probabilities of query terms and to identify extra available translation alternatives so that the translated queries are more tuned to the current search. We studied TE using pseudo-relevance feedback (PRF) and interactive relevance feedback (IRF). Our results show that TE can significantly improve TLIR with both types of relevance feedback methods, and that the improvement is comparable to that of query expansion. More importantly, the effects of translation enhancement and query expansion are complementary. Their integration can produce further improvement, and makes TLIR more robust for a variety of queries.