Research on Method for Privacy Control in Ubiquitous Computing Based on Semantic Rule

Surface deep semantic and English reading test for band 4

深层语义、表层语义与大学英语阅读教学

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Both groups were assessed before and after the first, forth and twelfth weeks of treatment with HAMD, MMSE, Semantic Fluency Test, Associate Learning, Digit Span, Similarity and Comprehension.

采用HAMD、MMSE、词汇流畅测验、联想学习、数字广度测验、相似、领悟及副反应量表，于治疗前、治疗后第1、4、12周末分别对两组进行评定。

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The oral picture-naming task was still used for the semantic category test, which increased to 232 items, to deeply analyze the patients' naming ability in different semantic categories.

语义范畴测验仍沿用口语图形命名任务，但项目数扩增了许多（232个），便于深入分析患者在不同语义范畴间的命名能力。

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There were significant differences of MMSE, Semantic Fluency Test, Associate Learning and Digit Span after the twelfth week between the intervention group and the control group.

研究组治疗第12周后MMSE、词汇流畅测验、联想学习测验、数字广度测验与对照组相比差异有显著性（P<0.05）。

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Two groups of typical cognitive tests ( semantic test and category-specific semantic deficits test) were used to investigate their semantic system and identify whether the deficits existed or not.

采用两组典型的认知测验（语义测验和语义范畴测验），分别考察患者的语义系统正常与否，以及是否存在语义范畴特异性损伤。

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The three types of idioms are cooperative in social discourse and organize discourses as harmonious semantic unit.

这三种习语搭配在话语中分工合作，将每一个语篇组织成一个和谐的语义单位。

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To study the semantic unit combination rule by using sense element analysis is a scientific method to explain the principle of words combination.

运用义素分析方法研究语义单位组合的规则是解释词语组合原理的科学方法。

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Discourse is a semantic unit.

语篇是一个语义单位。

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The paper also proposes a term "semantic unit" for the analysis and comparison of lexical meanings.

文章还提出了“义元”这一术语，并用于词义的分析和比较。

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Human being recognizes a sentence as one semantic unit.

人的认知在识别一个句子时，是把句子作为一个语义整体来处理的。

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Word, in translation, is a basic semantic unit that can be transmitted.

词是翻译中可以传输的最基本的语义单位。

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Discourse is a semantic unit which has the complete meaning.

语篇是一个具有完整意义的语义单位。

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A Real-time Transaction Scheduling Algorithm with Temporal Constraints by Exploiting Data Semantics

基于挖掘具有时态限制数据语义的实时事务调度算法

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Research on conducting the multiple source data semantics transformation using the data dictionary.

利用数据字典进行多源数据语义转换研究；

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Define the data semantics through a business glossary

通过业务术语表定义数据语义

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Next, by exploiting data semantics, the algorithm improves scheduling performance combined with predictive algorithm.

继而通过挖掘数据语义，利用数据相似性，结合预测算法，进一步提高了调度性能。

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This chapter studies that different kinds of modal adverbs have different effects and point out the connection between different modal adverbs and semantic features.

本章考察了各类语气副词在语篇中起到的不同作用，并指出这些区别与它们各自的语义特征的联系。

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Adverbs are mainly from modal as a method of composition, modal the names and semantic problem of the investigation.

主要从情态副词所充当的句法成分、情态副词的连用和语义问题进行了考察。

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Modal Semantic Data Analysis Based on Rough Set Theory

基于Rough集的模态语义数据分析

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Pattern matching utilizes abstract syntax tree isomorphism algorithm; Pointer semantics determines the semantics of programs through semantic constraints to check out security vulnerabilities; Interprocedural analysis adopts summary-based context sensitive analysis.

模式匹配采用了抽象语法树同构判断算法；指针语义则是通过语义约束来确定程序唯一语义以达到检查安全漏洞的目的；跨过程分析采用基于总结的上下文敏感分析方法。

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