广告语言再生状态探论——以品牌显隐与行为变及现象跟踪为例的一个调查

以一个关于广告语言的再生状态的调查为基础,首先通过基于个案调查从品牌显隐角度观察分析广告语言的生存之初状态,认为诉求语义框架和句法捆绑密度是制约品牌显隐的两个重要因素。并从行为元素角度考察广告语言的再生状态,从特定的角度反映广告语言的生存状态与生存质量。     

Limiting labels: Opportunities to learn and college readiness among English language learners

Over a fifth of California's public schools' students have limited access to college and career pathways due to being labeled an “English-language learner (ELLs).” As reported by the California Department of Education, in the 2017–2018 school year, of the over 6.2 million students in California, nearly 1.3 million students are categorized as ELLs. The ELL label states students “whose difficulties in speaking, reading, writing, or understanding English may (my emphasis) limit his or her ability to (1) achieve in classrooms where English is the language of instruction and (2) access opportunities to fully participate in society.” Aligned with deficit thinking models, the US school system interprets “may” as “will” and makes decisions that negatively impact a large body of students across the country. The growing body of research reveals that many with the ELL label have been and continue to be intentionally underserved, limited access to postsecondary education, tracked into low-rigor and stigmatizing course pathways, and are deliberately unsupported to become college-ready, furthering the inequities in education and limiting options for quality k-12 educational experiences. The system becomes blinded by the label and ignores students with ELL labels' abilities and capacities to learn. So how are students with ELL labels supposed to become college-ready, let alone career-ready? For the purposes of this critical literature review, I will focus on exploring the existing structures that define “college-readiness” and the disparities created by the intentional tracking of students with the ELL label in comparison to their non-ELL peers.     

Stable feature screening for ultrahigh dimensional data

This paper is concerned with the stable feature screening for the ultrahigh dimensional data. To deal with the ultrahigh dimensional data problem and screen the important features, a set-averaging measurement is proposed. The model averaging technique and the conditional quantile method are used to construct the weighted set-averaging feature screening procedure to identify the relationships between the possible predictors and the response variable. The proposed screening method is model free, stable and possesses the sure screening property under some regular conditions. Some Monte Carlo simulations and a real data application are conducted to evaluate the performance of the proposed procedure.     

School tracking and its role in social reproduction: reinforcing educational inheritance and the direct effects of social origin

The degree of social reproduction varies considerably between industrialized countries, raising the question of which institutional regulations promote or restrict this process. Education is considered the main mediator of social reproduction. Because school tracking – the sorting of children according to ability and interest at different ages – is known to affect educational attainment and the degree of tracking varies strongly across countries, it may thus account for differences in social reproduction. However, empirical studies are scarce, and the total impact of tracking on social reproduction remains ambiguous. Using the European Social Survey (ESS) 2012 and 2014 from 24 countries, we demonstrate that school tracking is strongly associated with higher degrees of social reproduction. Decomposing the process of social reproduction into educational inheritance, educational returns and direct effects of social origin, we find that although all channels contribute to social reproduction, the impact of tracking seems to be exerted through educational inheritance and to a similar degree through direct effects of social origin, whereas educational returns do not seem to be affected. Even net of educational attainment, social origin thus has a stronger effect on social status in tracked systems. We ascribe this effect to differences in qualitative choices within educational tracks, such as fields of study.     

基于卡尔曼滤波的运动员实时跟踪系统研究

应用计算机技术,并采用预处理算法和跟踪算法可建立基于卡尔曼滤波的运动员实时跟踪系统,用于实时分割、跟踪球场中运动着的运动员,得到其在运动场景中的各项运动参数,并进行技战术统计和分析,为教练员和运动员制定正确的运动技术方案提供决策依据。     

纪实文学革命论

20世纪80年代以来,中国文学理论界对纪实文学已有所研究,但是,其研究还是肤浅的、片面的,至今没有人从当下读者最喜爱,社会影响最大,以《知音》、《家庭》和《华西都市报》、《南方周末》等为代表的"特稿"身上发现纪实文学的累累硕果,没有人把史记学与当代纪实文学联系起来加以研究,也没有人从当代文学体裁分类角度探寻纪实文学的价值,更没有人将纪实类文学提高到与虚构类文学(即"纯文学")同宗同源、平起平坐的地位,从而得出在21世纪,在市场经济条件下,纪实文学取代虚构文学、中国文坛将全面进入纪实文学时代的科学论断.     

一种太阳方位跟踪器控制系统的设计

通过分析太阳运行规律,设计了太阳位置传感器.采用两级传感器方式,实时检测太阳方位.利用简单光敏电阻和SPCE061A单片机设计了一种多方向太阳能收集控制系统,实现了大范围高精度地跟踪太阳.经试验,系统的高度角和方位角跟踪范围在0～180°和0～270°,跟踪精度达到1°.     

netfilter技术分析及在入侵响应中的应用

从netfilter总体结构入手,分析了netfilter的连线跟踪、包过滤、地址转换、包处理等关键技术。在此基础上,研究了入侵响应策略,提出了基于netfilter的主动响应模型。经测试证明,这种主动响应模型灵活高效,可以极大地增强系统对入侵行为的防御能力。     

Rough set-based approach to feature selection in customer relationship management

In this paper, application of the rough set theory (RST) to feature selection in customer relationship management (CRM) is introduced. Compared to other methods, the RST approach has the advantage of combining both qualitative and quantitative information in the decision analysis, which is extremely important for CRM. To derive the decision rules from historical data for identifying features that contribute to CRM, both the mathematical formulation and the heuristic algorithm are developed in this paper. The proposed algorithm is comprised of both equal and unequal weight cases of the feature content with the limitation of the mathematical models. This algorithm is able to derive the rules and identify the most significant features simultaneously, which is unique and useful in solving CRM problems. A case study of a video game system purchase is validated by historical data, and the results showed the practical viability of the RST approach for predicting customer purchasing behavior. This paper forms the basis for solving many other similar problems that occur in the service industry.     

一种新的单站被动跟踪方案

在被动跟踪系统中,只利用测向技术不能快速、高精度地跟踪目标,此外使用传统的EKF算法进行跟踪滤波,得到的误差较大,容易产生发散现象。该文提出利用相位变化率和SR-UKF算法相结合的方案,有效克服了上述问题,大大提高了跟踪的速度和精度,滤波器的稳定性也得到增强,跟踪性能得到提高,其有效性通过仿真得到了证明。