襄麦冬总黄酮酶法提取的工艺优化

以襄麦冬为原料,通过正交试验,采用酶法提取探讨提取条件对襄麦冬块根中总黄酮类化合物提取的影响.结果表明襄麦冬总黄酮提取最佳的工艺条件为:酶添加量40mg,酶解时间3h,酶解温度50℃,介质pH值为5.0,总黄酮化合物的提取率平均值为0.495 mg/g.     

谈谈“要么”的语法化

"要么"是现代汉语中常见的一个选择连词,其最早组合是以跨层非短语结构的形式出现在疑问句的末尾,但由于"么"的疑问语气词功能的丧失,致其句法位置发生了转移;在"这么"、"那么"、"怎么"等词类推力量的作用下其进一步词汇化;句中主要动词的存在,促使其词汇化后进一步语法化,而其原型的固有意义使它最终获得了表选择的功能。     

EMDR、适应性信息加工与个案概念化（上）

EMDR是一个整合性的、以咨客为中心的心理治疗方法,它着重于大脑的信息加工系统、烦扰经历的记忆,这些病理学基础不是由器质性的损伤导致的。EMDR强调对临床情境有作用的经历,和那些需要带领咨客达到更健康的心理状态的经历。EMDR作为以经验为主的支持治疗,本文综述其历史、发展和研究,在阐述适应性信息加工模型之后,用一个延续的个案实例来说明了EMDR的个案概念化和8个阶段的治疗。这个方法用于加工那些建立病理学基础的和触发当前功能失调的早期记忆,并为将来恰当的行为提供模板,包括克服技能和（或）发展性的不足所需的知识与行为。整合的EMDR与家庭系统观点的好处是可以提供最综合的治疗效果。     

高职院校毕业论文（设计）指导中存在的问题及对策探析

根据国家教育部有关文件精神,各高校逐步完善和强化了毕业论文（设计）规范,明确了教师指导的具体任务和要求,毕业论文（设计）成绩也有了显著提高。但是,教师在指导过程中还存在重视程度不够、指导力度不强、指导介入方式不当、科研水平不高和师生合作不和谐等问题,对此文章展开探讨,分析引发问题的因素,提出提前做好准备,要进行积极、耐心、全方位的指导以及从容应对指导过程中出现的不良现象等对策。通过探讨,力求真正达到提高高职生综合能力和取得良好毕业论文（设计）指导效果的目的。     

浅议基于RIA技术的网络虚拟实验室建设

3C章介绍利用富互联网应用（IliA）技术,开发网络虚拟实验室,充分利用现有校园网络资源,降低实验课程成本,打破实验的时空限制,便于学生形象深入地学习实验原理与操作技能。文章抛砖引玉,以期对网络虚拟实验室建设提供一些思路和帮助。     

南宋高宗年间镇抚司研究

高宗建炎四年五月,为抵御金人南侵,南宋在宋金边境设立了众多的藩镇——镇抚司.镇抚司的割据性很强,但镇抚司的设置并未导致南宋最终出现类似唐代藩镇尾大不掉的局面.绍兴五年四月,诸镇抚司尽罢.通过设置镇抚司,南宋王朝最终稳定了统治,其废罢同时,也是绍兴十一年收夺大将兵权前的一次成功预演.     

链状四角系统及六角系统的GA指数

设G=（V,E）是一个图,G的Geometric—Arithmetic指数（简称GA指数）在某些化学物品的物理性质方面具有良好的预测作用．通过计算,给出了直链、锯齿链四角系统和转向细胞个数为1的链状四角系统的GA指数公式;证明了六角系统中完全冷凝苯类的GA指数是其转向六边形个数和分枝六边形个数的单调递增函数．     

FARMER: A novel approach to file access correlation mining and evaluation reference model

File semantic has proven effective in optimizing large scale distributed file system. As a consequence of the elaborate and rich I/O interfaces between upper layer applications and file systems, file system can provide useful and insightful information about semantic. Hence, file semantic mining has become an increasingly important practice in both engineering and research community. Unfortunately, it is a challenge to exploit file semantic knowledge because a variety of factors could affect this information exploration process. Even worse, the challenges are exacerbated due to the intricate interdependency between these factors, and make it difficult to fully exploit the potentially important correlation among various semantic knowledges. This article proposes a file access correlation miming and evaluation reference (FARMER) model, where file is treated as a multivariate vector space, and each item within the vector corresponds a separate factor of the given file. The selection of factor depends on the application, examples of factors are file path, creator and executing program. If one particular factor occurs in both files, its value is non-zero. It is clear that the extent of inter-file relationships can be measured based on the likeness of their factor values in the semantic vectors. Benefit from this model, FARMER represents files as structured vectors of identifiers, and basic vector operations can be leveraged to quantify file correlation between two file vectors. FARMER model leverages linear regression model to estimate the strength of the relationship between file correlation and a set of influencing factors so that the “bad knowledge” can be filtered out. To demonstrate the ability of new FARMER model, FARMER is incorporated into a real large-scale object-based storage system as a case study to dynamically infer file correlations. In addition FARMER-enabled optimize service for metadata prefetching algorithm and object data layout algorithm is implemented. Experimental results show that is FARMER-enabled prefetching algorithm is shown to reduce the metadata operations latency by approximately 30%–40% when compared to a state-of-the-art metadata prefetching algorithm and a commonly used replacement policy.