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Purpose: This study investigated the academic achievement and physical activity differences between types of activity breaks implemented in elementary school classrooms. This study evaluated whether there was a difference between the impact of purely aerobic-based movement breaks and the impact of academic-based breaks on children’s academic achievement outcomes. Method: Participants included 460 children in 3rd grade through 5th grade at 4 elementary schools. There were 176 children in the schools that engaged in academic-based breaks and 284 in the schools that engaged in aerobic-only breaks. Schools were randomly assigned at the school level to implement either aerobic movement breaks with academic content infused within the breaks (“academic-based breaks”) or aerobic-only movement breaks without the addition of academic material (“aerobic-only breaks”) for approximately 10 min of activity per day. Math and reading achievement as well as children’s step counts were measured before and after the intervention. A mixed-effects (multilevel-growth) model, in which the repeated measures of individuals nested within a classroom are analyzed, was used to answer all posited research questions. Results: Small to moderate effect sizes (ES) indicating gains in reading achievement (ES = .13) and steps (ES = .33) were found for classrooms that used aerobic-only movement breaks compared with those that used academic-based breaks. Conclusions: The type of movement breaks that are implemented in classrooms may have differential outcomes for children’s achievement and activity levels. Results from the present study indicate that children who were given aerobic-only movement breaks had slightly larger gains in reading achievement and physical activity levels than children who were given academic-based breaks.  相似文献   
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Common wisdom holds that graphic media violence leads to antisocial outcomes. This common wisdom is reflected in the Society for Professional Journalists’ Code of Ethics. However, theory and research regarding moral emotions’ ability to increase moral sensitivity suggests that this type of negative content may be capable of yielding prosocial responses. This article describes this logic and tests its predictions in two experimental studies utilizing news footage of a mass execution conducted by the Islamic State in Iraq and Syria (ISIS). Results corroborate claims that graphic media violence can serve as a moral motivator. Higher levels of graphic violence led to stronger anger and disgust responses, which in turn predicted higher levels of (a) moral sensitivity, (b) desires for anti-ISIS interventions (including military and humanitarian efforts), and (c) eudaimonic motivations (i.e., seeking meaning in life). Important to note, no increases in negative attitudes toward Arab Muslims were observed. Theoretical implications are discussed.  相似文献   
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As higher education increasingly relies on e-learning, the need for tools that will allow teachers themselves to develop effective e-learning objects as simply and quickly as possible has also been increasingly recognized. This article discusses the design and development of a novel tool, Enook (Evolutionary note book), for creating activity-based learning objects (LOs). This tool has three general foci: 1) creation of various activity-based objects for experimental learning or learning by doing while simultaneously offering as many learning resources as a real e-book that services as both a textbook and a notebook, dual functions that paperback books can never provide; 2) management of all aspects of live instructor-led classroom training in a network environment, such the Web and or a mobile network; 3) facilitated use of data on students’ progress to monitor their understanding of the material and to provide other meaningful information through learning analytics.  相似文献   
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In existing unsupervised methods, Latent Semantic Analysis (LSA) is used for sentence selection. However, the obtained results are less meaningful, because singular vectors are used as the bases for sentence selection from given documents, and singular vector components can have negative values. We propose a new unsupervised method using Non-negative Matrix Factorization (NMF) to select sentences for automatic generic document summarization. The proposed method uses non-negative constraints, which are more similar to the human cognition process. As a result, the method selects more meaningful sentences for generic document summarization than those selected using LSA.  相似文献   
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Statistics show that the number of identity theft victims in the US increased by 12% in 2009, to 11.1 million adults, while the total annual fraud amount increased by 12.5%, to $54 billion. As the e-commerce volume is increasing and various online services are becoming more popular, the number of sites to which an average Internet user subscribes is increasing rapidly. Given the limited memory capacity of human beings, an Internet user's login credentials (in the form of a combination of a user ID and a password) are usually reused over multiple accounts, which can cause significant security problems. In this study, we address the vulnerability of login credentials. First, based on a unique Internet user data set, we analyze the behavioral characteristics of login credentials usage. We find that the same login credentials are used for many more accounts and reused much more often than previously expected. Furthermore, usage patterns are found to be quite skewed. Second, building on a network perspective of login credentials usage, we suggest a vulnerability measure of an individual's login credentials and analyze the vulnerability of current Internet users. The resulting information is valuable not only to the research community but also to managers and policy makers striving to reduce security vulnerability.  相似文献   
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For state estimation of high accuracy, prior knowledge of measurement noise is necessary. In this paper, a method for solving the joint state estimation problem of jump Markov nonlinear systems (JMNSs) without knowing the measurement noise covariance is developed. By using the Inverse-Gamma distribution to describe the dynamics of measurement noise covariance, the joint conditional posterior distribution of the state variable and measurement noise covariance is approximated by a product of separable variational Bayesian (VB) marginals. In the newly constructed approach, the interacting multiple model (IMM) algorithm, as well as the particle-based approximation strategy, is employed to handle the computationally intractable problem and the nonlinear characteristics of systems, respectively. An interesting feature of the proposed method is that the distribution of states is spanned by a set of particles with weights, while the counterpart of measurement noise covariance is obtained analytically. Moreover, the number of particles is fixed under each mode, indicating a reasonable computational cost. Simulation results based on a numerical example and a tunnel diode circuit (TDC) system are presented to demonstrate that the proposed method can estimate the measurement noise covariance well and provide satisfied state estimation when the statistics of the measurement are unavailable.  相似文献   
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Research on inequality in higher education (HE) is often dominated by class-based assumptions about traditional and non-traditional students. This binary distinction emphasising students’ socio-economic status tends to oversimply the complexity of educational inequality, neglecting crucial factors which affect the perception of social position. Therefore, this study aims to investigate the understanding of inequalities in HE with new data on the meaning of locality, using evidence from comparative studies of institutions. Locality is interpreted as an inclusive concept capturing place identity as well as local attachments based on language, culture and the natural environment. The qualitative and quantitative data were collected from 192 participants in three distinctly different HE institutions, which were deliberately selected according to their socio-economic, cultural, and institutional status. This mixed methods research confirms the importance of different types of belonging at institutional, local and national levels, and their different effects on student groups. The study captures to what extent geographical mobility is associated with social class, by examining students’ sense of belonging and their interpretation of locality in universities across Wales. It challenges the notion of disadvantaged background, and poses a critical question about cultural and geographical familiarity. This study therefore enriches the current debates about the impact of social inequality alongside social class on students’ belonging, success and retention in HE.  相似文献   
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