沙参属10个种的染色体研究

 本文报道了我国黑龙江产桔梗科沙参属的10种1变种的染色体数目和核型，对其中     7种作了减数分裂行为的观察。  其中6种1变种为首次报道，并发现2n=68的4x种。该     属染色体基数多为17(x＝17)，但Adenophora trachelioides和A．remotiflora的基数为18     (x=18)，为该属独特基数。核型的共同特征是：小型，以中部(m)、近中部(sm)着丝点     染色体为主，至少具一对近端着丝点染色体和一对随体染色体。该属染色体的演化处于二种     水平：  数目变化(包括多倍化和非整倍体变化)和结构变异。  多倍化是该属物种形成的主要     途径之一。结合其它性状讨论了这些种的分类，并确立1个四倍体新种(A. amurica)和1个新组合(A．pereskiifolia ssp．alternifolia)。     

高等职业教育之教学实训空间模式研究

教学实训空间模式能够有效地处理教学、实训和空间三者之间的关系．有利于提高高等职业教育的课程教学质量和实训水平。因此,分析教学实训空间模式的构建．探讨教学实训空间模式的应用．具有现卖的理论意义和实践价值。     

ASP.NET数据验证机制研究

数据验证是Web程序设计的重要环节,本文针对ASP.NET中验证控件的使用方法进行详细阐述,并结合实例说明在ASP.NET中数据验证的方便性与灵活性.     

Standardization of a dilution method for cyclosporin (C2) estimation in renal transplant patients

Accurate monitoring of blood cyclosporin C2 levels is vital to prevent over immunosuppression and acute renal toxicity in patients who receive organ transplant. The matrix used to dilute patients’ C2 samples prior to the assay affected the final measured values. Hence there was a need to develop a method of dilution that would accurately estimate C2 levels when cyclosporin levels were beyond the calibration range of the method employed. Whole blood, cyclosporin free hemolysate and cell and protein free supernatant obtained after pretreatment of normal blood were used to dilute patients’ C2 samples. C2 was measured in 188 patients using the supernatant method of dilution. C2 was correlated with Co and dose of cyclosporin received by the patient. The use of cell and protein free supernatant obtained after pretreatment of normal blood as a C2 diluent detected higher levels of C2 in the sample. Measured C2 correlated significantly with Co and the cyclosporin dose received by the patient. The uniformly aqueous cell and protein free supernatant ensures uniform dilution of the patients’ C2 sample and measures higher cyclosporin levels.     

基于Linux的内核数据捕获技术研究

以Linux作为数据捕获的平台,以捕获系统的所有活动特别是入侵者的加密会话为目标,提出了一种利用Rootkit技术,通过替换系统调用sys_read,sys_write,sys_open,sys_socketcall等来从内核捕获数据的技术。     

Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis

Topic evolution has been described by many approaches from a macro level to a detail level, by extracting topic dynamics from text in literature and other media types. However, why the evolution happens is less studied. In this paper, we focus on whether and how the keyword semantics can invoke or affect the topic evolution. We assume that the semantic relatedness among the keywords can affect topic popularity during literature surveying and citing process, thus invoking evolution. However, the assumption is needed to be confirmed in an approach that fully considers the semantic interactions among topics. Traditional topic evolution analyses in scientometric domains cannot provide such support because of using limited semantic meanings. To address this problem, we apply the Google Word2Vec, a deep learning language model, to enhance the keywords with more complete semantic information. We further develop the semantic space as an urban geographic space. We analyze the topic evolution geographically using the measures of spatial autocorrelation, as if keywords are the changing lands in an evolving city. The keyword citations (keyword citation counts one when the paper containing this keyword obtains a citation) are used as an indicator of keyword popularity. Using the bibliographical datasets of the geographical natural hazard field, experimental results demonstrate that in some local areas, the popularity of keywords is affecting that of the surrounding keywords. However, there are no significant impacts on the evolution of all keywords. The spatial autocorrelation analysis identifies the interaction patterns (including High-High leading, High-Low suppressing) among the keywords in local areas. This approach can be regarded as an analyzing framework borrowed from geospatial modeling. Moreover, the prediction results in local areas are demonstrated to be more accurate if considering the spatial autocorrelations.     

考虑关税和补贴的跨国生产业务外包决策与优化

在随机需求下研究由一个境外集成制造商、一个国际运输服务提供商和一个供应商构成的跨国生产业务外包决策问题.考虑制造商所在国存在进口关税、供应商所在国存在补贴,定量分析制造成本、运输成本、关税成本和出口补贴对跨国生产业务外包决策的影响;依次建立三级独立主从决策模型和联盟主从决策模型,分析收益分享和成本分担对决策的影响.结果 表明对于跨国生产业务外包决策与优化,当关税成本计算考虑运输费用和保险费用时,跨国生产业务难以实现协调;联盟博弈可以压缩博弈层级进而改善跨国供应链绩效;关税税率提升使各方利润和整体利润减少,削弱供应商的领导地位、加强制造商的地位;出口补贴增加可以提高各方利润及整体利润,加强供应商的领导地位、削弱制造商的地位;各方仅进行收益分享可以改善供应链利润,但仅进行关税或运输成本分担会恶化供应链利润.     

电气工程训练的教学改革研究与实践

电气工程实训课程面向的专业广泛,与实际结合紧密,它的实训质量直接影响学院应用型人才培养的成效。在总结教学经验的基础上,进一步深化改革,改变传统的教学模式,提出"以专业为导向的分层次教学法",同时积极运用启发式的教学方法,切实提高教学和实训质量。     

复杂设备的三维结构交互式演示系统开发——以焦炉为例

以焦炉为例,介绍了一种复杂设备的三维结构交互式演示系统开发方法。应用SketchUp建立焦炉各组成部分的三维数字模型,并导出展示其内部结构的图片和动画。应用Authorware制作焦炉结构三维交互演示系统,该演示系统能用大量的三维图像和动画生动形象地展示焦炉各大组成部分的内部结构和基本工作原理。