Vero细胞在微载体上迁移和多层生长现象

本文通过对电子显微镜观察了Ｖｅｒｏ细胞有微载体增减过程中的迁移民政部发现在不同增减阶段，Ｖｒｏ细胞迁移方式不同；在分泌形成的细胞外基质，上，Ｖｅｒｏ细胞迁移是通过 层粘连蛋白介导进行的，被层粘连蛋白抗体抑制；这种迁移导致Ｖｅｒｏ细胞在微载体上形成多层生长现象。     

Learning and Revising User Profiles: The Identification of Interesting Web Sites

We discuss algorithms for learning and revising user profiles that can determine which World Wide Web sites on a given topic would be interesting to a user. We describe the use of a naive Bayesian classifier for this task, and demonstrate that it can incrementally learn profiles from user feedback on the interestingness of Web sites. Furthermore, the Bayesian classifier may easily be extended to revise user provided profiles. In an experimental evaluation we compare the Bayesian classifier to computationally more intensive alternatives, and show that it performs at least as well as these approaches throughout a range of different domains. In addition, we empirically analyze the effects of providing the classifier with background knowledge in form of user defined profiles and examine the use of lexical knowledge for feature selection. We find that both approaches can substantially increase the prediction accuracy.     

Scaffolded writing and rewriting in the discipline: A web-based reciprocal peer review system

This paper describes how SWoRD (scaffolded writing and rewriting in the discipline), a web-based reciprocal peer review system, supports writing practice, particularly for large content courses in which writing is considered critical but not feasibly included. To help students gain content knowledge as well as writing and reviewing skills, SWoRD supports the whole cycle of writing, reviews, back-reviews, and rewriting by scaffolding the journal publication process as its authentic practice model. In addition, SWoRD includes algorithms that compute individual reviewer’s review accuracy, which is in turn used to support the various drawbacks of reciprocal peer reviews (e.g., variation in motivation or ability of reviewers). Finally, this paper describes an empirical evaluation showing that the SWoRD approach is effective in improving writing quality in content classes.     

Rapid analysis of polymer homologues and additives with SFE/SFC-MS coupling

A rapid and easy analysis method for polymers is presented. The method involves sample preparation by SFE, separation of the extracted compounds by SFC and simultaneous quantitative detection by FID, as well as identification of unknowns by MS. The applications illustrate how structural research work and routine polymer analysis can be done with this time saving method.     

应用地应力模拟技术研究断块区剩余油分布

应力场数值模拟不仅能够重塑出不同阶段地应力场，而且还可以定量一半定量地预测破裂的发生、裂缝的方向和密度，进一步探讨时间和空间上油气运移的规律，为油田勘探、开发提供必要的依据。本文以大庆萨北开发区北二西断层区为研究对象，通过应力场数值模拟研究了流体运移势场与剩余油分布的关系、流体运移与构造应力的关系、裂缝形成与剩余油分布的关系，确定了剩余油分布的有利区域，为油田注采系统的设计、部署和油田开发及措施调整提供了依据。     

基于模型正演的叠前深度偏移

川西龙门山前缘构造非常复杂，逆掩推覆构造带构造形变强烈，构造幅度大，地层倾角陡，断块发育，波场复杂，速度横向变化大，常规叠后时间偏移处理成像效果较差。文章将地震资料模型正演技术应用到叠前深度偏移，探讨了一种有助于川西龙门山前缘逆掩推覆构造地震资料精确成像技术。先利用已有地震资料解释成果，根据地质任务建立二维地质模型，在此基础上进行射线追踪、模拟出单炮地震记录和自激自收剖面，从而对观测系统的最大炮检距、道间距等参数进行论证的一些实用方法，这些方法对地震资料采集具有很好的指导作用；然后根据这些结果，再比较准确地进行叠前深度偏移的初始速度模型建立，从而达到了复杂地表下复杂构造精确成像的目的。     

Improved Estimates for the Accuracy of Small Disjuncts

Learning systems often describe a target class as a disjunction of conjunctions of conditions. Recent work has noted that small disjuncts, i.e., those supported by few training examples, typically have poor predictive accuracy. One model of this accuracy is provided by the Bayes-Laplace formula based on the number of training examples covered by the disjunct and the number of them belonging to the target class. However, experiments show that small disjuncts associated with target classes of different relative frequencies tend to have different error rates. This note defines the context of a disjunct as the set of training examples that fail to satisfy at most one of its conditions. An empirical adaptation of the Bayes-Laplace formula is presented that also makes use of the relative frequency of the target class in this context. Trials are reported comparing the performance of the original formula and the adaptation in six learning tasks.     

Role of the Basal Ganglia in Category Learning: How Do Patients With Parkinson's Disease Learn?

The purpose of the present study was to gain a deeper understanding of the role of the basal ganglia in learning and memory by examining learning strategies among patients with basal ganglia dysfunction. Using a probabilistic category learning task (the "weather prediction" task) previously shown to be sensitive to basal ganglia function, the authors examined patterns of performance during learning and used mathematical models to capture different learning strategies. Results showed that patients with Parkinson's disease exhibit different patterns of strategy use. Specifically, most controls initially used a simple, but suboptimal, strategy that focused on single-cue-outcome associations; eventually, however, most controls adopted a more complex, optimal learning strategy, integrating single-cue associations to predict outcomes for multiple-cue stimuli. In contrast, the majority of individuals with Parkinson's disease continued to rely on simple single-cue learning strategies throughout the experiment. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

辽河东部凹陷北部不整合类型及油气成藏规律

不整合对油气藏形成有重要作用。辽河幼陷东部凹陷北部地区不整合较发育，根据实际资料研究沙三段顶面不整合类型(削截、平行和超覆)和不整合面上下6类岩性接触关系的平面分布。不整合类型和不整合面上下岩性接触关系不同，对油气藏形成的作用不同：下泥上砂的削截和平行不整合可在不整合面之上成藏；下砂上泥的削截不整合易在不整合面之下形成不整合遮挡油气藏；地层超覆不整合可形成地层超覆油气藏；不整合面上下均为砂岩，可作为沙三段烃源岩生成油气的运移通道；不整合面上下均为泥岩，可起封堵和区域盖层的作用。根据上泥下砂的不整合面分布区有利于形成不整合遮挡油气藏的认识，预测青龙台构造高部位和茨榆坨潜山的低带是有利目标区。图5参12     

Anthony D. Wagner: Award for Distinguished Scientific Early Career Contributions to Psychology.

Presents the citation for Anthony D. Wagner, who received the Award for Distinguished Scientific Early Career Contributions to Psychology (cognition and human learning) "for outstanding and innovative research on the neural basis of memory and executive control." A brief profile and a selected bibliography accompany the citation. (PsycINFO Database Record (c) 2010 APA, all rights reserved)