基于知识的客户关系研究

本文认为知识是流动的 ,而且它会超越组织边界 ,使企业与客户之间形成知识互动的合作伙伴关系。全文从知识和关系紧紧联系在一起 ,构成了可持续竞争优势的唯一源泉和知识向客户转移 ,即知识向客户流动的结果 ,使客户更加知识化并产生增值 ,其本身又会导致更深层的客户关系 ,而开发客户关系又提高了知识的双向转移等方面进行了论述。得出结论 :开发客户关系最终与知识共享是难以分离的     

道德与道德教育

通过对道德含义的剖析 ,指出道德属于关系范畴 ,并从道德起源的角度阐明道德产生的一般条件 ,进而指出我国当前道德教育存在的一些问题 ,得出道德教育应选择的途径。     

关于有限群的超可解性

利用弱拟正规和广义中心元概念得到有限群为超可解群的若干充要条件,推广了现有的结果.     

Cultural Variables and International Business

IntroductionCulturegivesanindividualananchoringpoint,ani dentity ,aswellascodesofconduct (MichaelR ,Iikka ,andMichaelH 2 0 0 2 :33) .Ofmorethan 16 0definitionsofculture (AlfredandClyde 1985 :11) ,mostagreeonsomebasicprinciples ,butthereisalotofvariationonthedetails .Cultureisalsomultidimensional ,consistingofanumberofcommonelementsthatareinterdependent.Thedifferencesinculturehaveanimportantimpactonmanyaspectsofamultinationalcompany’sactivity .Thispaperwillmainlydiscusstheeffectofsomeofthe…     

代谢综合征基础与临床系列研究——GRGDSP/7E3对动脉粥样硬化内皮细胞MMPs的mRNA表达的影响

目的了解GRGDSP/7E3对基质金属蛋白酶（MMP-2,MMP-9）mRNA表达的影响。方法体外培养人脐静脉内皮细胞,分别用酶谱法和逆转录聚合酶链式反应（RT-PCR）检测MMP-2,MMP-9活性和mRNA表达。待细胞融合成单层后,分别加入无血清培养基、静息期血小板、活化后血小板及interleukin-1β（IL-1β）,共同培养60min后,洗去血小板,内皮细胞继续培养6h。上清液及细胞分别用于酶谱法检测MMP-2和MMP-9活性,以及RT-PCR分析mRNA表达。结果内皮细胞与活化血小板共同培养后,酶谱法显示：与对照组相比,未活化的血小板轻微诱导MMP-2和MMP-9分泌,而活化状态的血小板能显著诱导这二者的分泌,与IL-1β的作用相当;而且还可以见到62kDaMMP-2活化形式。加入阻断剂GRGDSP以及GPⅡb/Ⅲa单克隆抗体（7E3）作用后检测发现,MMP-2和MMP-9分泌减少。与活化血小板共同培养后的内皮细胞表面表达uPAR和MT1-MMP以及上清液中MMP-2的mRNA与对照组相比明显增高,而静息状态的血小板作用不显著。加入GRGDSP或7E3后,mR-NA的表达降低。结论①活化状态的血小板与IL-1β的作用相当,能显著诱导MMP-2和MMP-9分泌;能明显增高内皮细胞（EC）-uPAR和MT1-MMP及上清液中MMP-2mRNA的表达;②GPⅡb/Ⅲa阻断剂可能抑制血小板在不稳定斑块部位聚集、粘附等一系列炎症反应。     

多媒体呈现流程的形式化描述及内容表示

交互式多媒体呈现系统一般由呈现内容和呈现控制流程两部分组成。通过引入通用转换网络,对交互式多媒体应用系统的内部呈现流程进行了形式化描述;讨论了该形式化描述下呈现流程的重用性;提出了将呈现流程与呈现内容相分离的系统实现策略;给出了呈现内容描述和可呈现对象相结合的呈现内容表示方法。该策略和方法可用于设计实现交互式多媒体呈现系统创作平台,利用该平台创作的呈现系统能够并发地呈现多种媒体形式的信息,系统及其组成部件具有良好的可重用性。     

孔子仁学思想与师生关系

孔子仁学思想强调爱人、克己、崇德,把这种仁学思想落实到教育工作中就是教师要爱学生,要克制自我中心主义的倾向,要修身立德。这种思想对正确处理好师生关系从而赢得教育教学的成功具有极大的启示意义。     

Human Salmonellosis: Estimation of Dose-Illness from Outbreak Data

The quantification of the relationship between the amount of microbial organisms ingested and a specific outcome such as infection, illness, or mortality is a key aspect of quantitative risk assessment. A main problem in determining such dose-response models is the availability of appropriate data. Human feeding trials have been criticized because only young healthy volunteers are selected to participate and low doses, as often occurring in real life, are typically not considered. Epidemiological outbreak data are considered to be more valuable, but are more subject to data uncertainty. In this article, we model the dose-illness relationship based on data of 20 Salmonella outbreaks, as discussed by the World Health Organization. In particular, we model the dose-illness relationship using generalized linear mixed models and fractional polynomials of dose. The fractional polynomial models are modified to satisfy the properties of different types of dose-illness models as proposed by Teunis et al . Within these models, differences in host susceptibility (susceptible versus normal population) are modeled as fixed effects whereas differences in serovar type and food matrix are modeled as random effects. In addition, two bootstrap procedures are presented. A first procedure accounts for stochastic variability whereas a second procedure accounts for both stochastic variability and data uncertainty. The analyses indicate that the susceptible population has a higher probability of illness at low dose levels when the combination pathogen-food matrix is extremely virulent and at high dose levels when the combination is less virulent. Furthermore, the analyses suggest that immunity exists in the normal population but not in the susceptible population.     

Bootstrap Estimation of Benchmark Doses and Confidence Limits with Clustered Quantal Data

The benchmark dose (BMD) is an exposure level that would induce a small risk increase (BMR level) above the background. The BMD approach to deriving a reference dose for risk assessment of noncancer effects is advantageous in that the estimate of BMD is not restricted to experimental doses and utilizes most available dose-response information. To quantify statistical uncertainty of a BMD estimate, we often calculate and report its lower confidence limit (i.e., BMDL), and may even consider it as a more conservative alternative to BMD itself. Computation of BMDL may involve normal confidence limits to BMD in conjunction with the delta method. Therefore, factors, such as small sample size and nonlinearity in model parameters, can affect the performance of the delta method BMDL, and alternative methods are useful. In this article, we propose a bootstrap method to estimate BMDL utilizing a scheme that consists of a resampling of residuals after model fitting and a one-step formula for parameter estimation. We illustrate the method with clustered binary data from developmental toxicity experiments. Our analysis shows that with moderately elevated dose-response data, the distribution of BMD estimator tends to be left-skewed and bootstrap BMDL s are smaller than the delta method BMDL s on average, hence quantifying risk more conservatively. Statistically, the bootstrap BMDL quantifies the uncertainty of the true BMD more honestly than the delta method BMDL as its coverage probability is closer to the nominal level than that of delta method BMDL. We find that BMD and BMDL estimates are generally insensitive to model choices provided that the models fit the data comparably well near the region of BMD. Our analysis also suggests that, in the presence of a significant and moderately strong dose-response relationship, the developmental toxicity experiments under the standard protocol support dose-response assessment at 5% BMR for BMD and 95% confidence level for BMDL.     

用于分散电压控制的规则库法

电力系统正常运行时,无功/电压控制目的是安全经济供电.而在紧急情况下,首要目标是运行的安全性,其次才是经济性.本文提出的局部网概念及其灵敏度矩阵,以及对电压违限严重性的分级和控制战略,使控制更为快速有效.此法更适用于当事故引起全系统运行数据不全时对局部网的电压控制.