动态环境下的企业竞争对手跟踪与监测

竞争对手跟踪与监测是竞争情报系统的核心内容,没有连续、持续的竞争对手跟踪与监测,就不可能有可靠、高效的战略决策。本文剖析了动态环境中的竞争对手跟踪与监测的内涵,构造了由正向机制与反推机制结合而成的跟踪与监测基本模型及识别模式、分析模式和预测模式3个支持模型。     

混合Kalman滤波器与Chamshift人脸跟踪算法的研究

文章通过Kalman滤波器预测由Camshift算法检测到的人脸窗1：7在下一帧图像可能出现的位置,进行下一帧图像的人脸跟踪．其中,Kalman滤波器的使用克服了单纯使用Cam-shift跟踪在遮挡或者丢失跟踪物体的不足,可以大大提高人脸跟踪的正确率．     

宁波教育学院2008届毕业生就业状况跟踪调查

了解毕业生的就业状况是高校毕业生就业工作中不可或缺的环节。为动态掌握毕业生的工作情况,了解毕业生对学校人才培养方面的意见和建议,有效推进和强化我校教育教学改革,做好我校毕业生就业指导工作,我们对本校2008届部分毕业生进行了跟踪调查。     

Is academic tracking related to gains in learning competence? Using propensity score matching and differential item change functioning analysis for better understanding of tracking implications

This study analyzes gains in cognitive components of learning competence with respect to cohorts based on ability tracking in a Czech longitudinal study. Propensity score matching is used to form parallelized samples of academic and non-academic track students and to eliminate the effect of selective school intake. We applied regression models on the total scores to test for the overall track effect. Furthermore, we analyze scores and gains on the subscores and check for differential item functioning in Grade 6 and in change to Grade 9. While after 3 years, no significant difference between the two tracks was apparent in the total learning competence score, we did, however, find significant differences in some subscores and in the functioning of some items. We argue that item-level analysis is important for deeper understanding of the tracking implications and may provide the basis for more precise evidence-based decisions regarding the tracking policy.     

云平台驱动的应急决策情报工程架构研究

[目的/意义]将情报工程思维融入云平台驱动的应急决策，旨在使应急决策更具效率性、科学性。[方法/过程]分析应急决策需求特性，在工程价值模型和情报系统基础上引入情报工程思维，即"事实数据"+"方法工具"+"专家智慧"3个要素，进而构建云平台驱动的应急决策情报工程架构。[结果/结论]云平台驱动的应急决策情报工程架构根据函数效应，从需求层（聚合需求，甄选信息）、工作层（挖掘情报，提升价值）、运行层（整合知识，集成智慧）以及服务层（快速响应，精准服务）4方面构建，使应急决策情报工程化及平行化，为应急决策在实际应用中提供一定思路。     

Understanding the overvaluation of facial trustworthiness in Airbnb host images

Renting a property via a peer-to-peer platform involves a variety of risks. Humans inherently, subconsciously use facial cues as important shortcuts in making assessments about other persons. On property sharing platforms, such as Airbnb, facial cues can be used in a similar fashion alongside reputational information. According to Dangerous Decisions Theory (DDT), intuitive evaluations of trustworthiness based on faces can bias subsequent assessment of an individual, requiring further information sources to make a more balanced assessment. In this study we apply DDT to demonstrate that evaluations based on perceived facial trustworthiness are overvalued; when combined with reputational measures, such as ‘super host’ status, such assessments are diminished. The study is based on deep learning to classify host faces for a large data set of online accommodation (n = 78,386). The research demonstrates that facial trust cues in online platforms should be treated with caution and must be combined with more objective measures of reputation in order to reduce the effects of overvaluation. The paper concludes with implications for practice and future research.     

关于坚持和完善民主集中制的几个问题

民主集中制是我们党和国家的根本组织制度和领导制度,是保证领导干部正确行使职权的制度保证。针对市场经济条件下出现的新情况新问题,要求领导干部继承和发扬我们党坚持民主集中制的优良传统,进一步提高贯彻执行民主集中制的自觉性。特别要紧密联系当前工作实际,努力推进选人用人民主化和决策民主化。     

高频串联谐振逆变器频率跟踪控制电路的仿真与应用

为了解决高频逆变电源负载参数变化引起固有谐振频率变化,导致逆变器效率降低及开关器件应力增加的问题,提出了一种以集成高速锁相环74HC4046为核心的、应用于功率MOSFET为主开关器件的高频串联谐振逆变电源的无相差频率跟踪控制系统,对电源的输出频率进行实时控制,并用Pspiee进行了仿真分析。结果证明,该系统具有较好的应用前景和推广价值。     

Teachers’ perspectives of lower secondary school students in streamed classes – A Western Australian case study

Streaming in secondary schools is not beneficial for improving student outcomes of education with vast amounts of educational research indicating that it does not improve academic results and increases inequity. Yet teachers often prefer working in streamed classes, and research shows that teachers mediate the effects of streaming on students. This study sought to add to the understanding of teachers’ role in student learning by investigating how teachers conceptualise the students in streamed classes. A qualitative case study approach was used, where 18 teachers were interviewed in-depth to create narrative examples, three of which are presented here. These narratives summarise the research findings that teachers saw students in high and low streams as having homogenous characteristics according to five dichotomous categories: approach to learning, attitude to learning, learning style, autonomy and background. Students in mixed-ability classes were viewed along these same continua, but as more heterogeneous groups. Furthermore, these views of students had direct implications for how teachers planned for learning and the expectations that they held of their students. The discussion links streaming research with teacher expectation research, suggesting that teachers of streamed classes in this secondary school hold specific whole-class ideas that affect student learning. The article concludes with recommendations for further inquiry that links these two important fields of educational research.     

Digital redesign tracker for cascaded analog systems with state saturation and external loads

This paper presents a newly developed digital redesign control scheme with a weighted switching strategy and output-reference tracking, for a cascaded analog system with state saturation and external loads. The proposed method improves the generally poor transition response and output deviation caused by state-saturation constraint and external loads. It replaces an existing or theoretically well-designed analog controller with state saturation, by a digital controller with almost identical performance.