2,018 research outputs found

    Text Mining Online Discussions in an Introductory Physics Course

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    We implemented a social networking platform called Course Networking (CN) in IUPUI’s introductory calculus based mechanics course and recorded three semesters of online discussions. We used the Syuzhet package in R to evaluate sentiment in the recorded discussions, and to quantify the incidence of eight basic emotions: anger, anticipation, disgust, fear, joy, sadness, surprise, and trust. We applied this text mining method to over nine thousand posts and replies to identify and analyze student sentiment during three semesters. We also investigated the variation of these emotions throughout the semester, the role played by the most vocal students as compared to the least frequent posters, and gender differences. With an abundance of students’ online discussions, text mining offers an expedient and automated means of analysis, providing a new window into students thinking and emotional state during semester-long physics course

    Symmetry and reciprocity constraints on diffraction by gratings of quasi-planar particles

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    Symmetry and reciprocity constraints on polarization state of the field diffracted by gratings of quasi-planar particles are considered. It is shown that the optical activity effects observed recently in arrays of quasi-planar plasmonic particles on a dielectric substrate are due to the reflection of the field at the air-dielectric slab interface and are proportional to this reflection coefficient.Comment: 11 pages, 3 figures, 12 references; minor corrections for better appearanc

    Backward-wave regime and negative refraction in chiral composites

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    Possibilities to realize a negative refraction in chiral composites in in dual-phase mixtures of chiral and dipole particles is studied. It is shown that because of strong resonant interaction between chiral particles (helixes) and dipoles, there is a stop band in the frequency area where the backward-wave regime is expected. The negative refraction can occur near the resonant frequency of chiral particles. Resonant chiral composites may offer a root to realization of negative-refraction effect and superlenses in the optical region

    Exposure Path Perceptions and Protective Actions in Biological Water Contamination Emergencies

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    This study extends the Protective Action Decision Model, developed to address disaster warning responses in the context of natural hazards, to “boil water” advisories. The study examined 110 Boston residents’ and 203 Texas students’ expectations of getting sick through different exposure paths for contact with contaminated water. In addition, the study assessed respondents’ actual implementation (for residents) or behavioral expectations (for students) of three different protective actions – bottled water, boiled water, and personally chlorinated water – as well as their demo-graphic characteristics and previous experience with water contamination. The results indicate that people distinguish among the exposure paths, but the differences are small (one-third to one-half of the response scale). Nonetheless, the perceived risk from the exposure paths helps to explain why people are expected to consume (or actually consumed) bottled water rather than boiled or personally chlorinated water. Overall, these results indicate that local authorities should take care to communicate the relative risks of different exposure paths and should expect that people will respond to a boil water order primarily by consuming bottled water. Thus, they should make special efforts to increase supplies of bottled water in their communities during water contamination emergencies

    A Flexible Privacy-preserving Framework for Singular Value Decomposition under Internet of Things Environment

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    The singular value decomposition (SVD) is a widely used matrix factorization tool which underlies plenty of useful applications, e.g. recommendation system, abnormal detection and data compression. Under the environment of emerging Internet of Things (IoT), there would be an increasing demand for data analysis to better human's lives and create new economic growth points. Moreover, due to the large scope of IoT, most of the data analysis work should be done in the network edge, i.e. handled by fog computing. However, the devices which provide fog computing may not be trustable while the data privacy is often the significant concern of the IoT application users. Thus, when performing SVD for data analysis purpose, the privacy of user data should be preserved. Based on the above reasons, in this paper, we propose a privacy-preserving fog computing framework for SVD computation. The security and performance analysis shows the practicability of the proposed framework. Furthermore, since different applications may utilize the result of SVD operation in different ways, three applications with different objectives are introduced to show how the framework could flexibly achieve the purposes of different applications, which indicates the flexibility of the design.Comment: 24 pages, 4 figure

    Toward a Multi-stage Model of Hurricane Evacuation Decision: An Empirical Study of Hurricanes Katrina and Rita

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    This study extended previous research by testing the Protective Action Decision Model (PADM) on hurricane evacuation decisions during Hurricanes Katrina and Rita. An examination of this mediation model shows that a household’s evacuation decision, as predicted, is determined most directly by expected wind impacts and expected evacuation impediments. In turn, expected wind impacts and expected hydrological impacts are primarily determined by expected storm threat and expected rapid onset. Finally, expected storm threat, expected rapid onset, and expected evacuation impediments are determined by households’ personal characteristics, their reception of hurricane information, and their observations of social and environmental cues. These results are generally consistent with the PADM and reinforce the importance of testing multi-stage multi-equation models of hurricane evacuation

    CSO Impact Assessment for Banklick Creek

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    This report contains the results of a combined sewer overflow (CSO) impact assessment study for Banklick Creek, which flows into the Licking River just south of Covington, Kentucky in Kenton County, Kentucky. This study is a component of a larger study that was conducted to determine the general impact of CSOs in the Northern Kentucky Region. The study was conducted through the Kentucky Water Resource Research Institute of the University of Kentucky and was funded by the Kentucky Natural Resources and Environmental Protection Cabinet through a grant from the United States Environmental Protection Agency

    CSO Impact Assessment for the Licking River

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    This report contains the results of a combined sewer overflow (CSO) impact assessment study for a four-mile section of the Licking River just south of its confluence with the Ohio River and between Kenton and Campbell Counties in Northern Kentucky. This study is a component of a larger study that was conducted to determine the general impact of CSOs in the Northern Kentucky Region. The study was conducted through the Kentucky Water Resources Research Institute of the University of Kentucky and was funded by the Kentucky Natural Resources and Environmental Protection Cabinet through a grant from the United States Environmental Protection Agency

    Predicting Residents’ Responses to the May 1-4, 2010, Boston Water Contamination Incident

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    This study examined 110 local residents’ warning sources, warning channels, warning receipt times, message content, risk perception, and behavioral responses (warning confirmation, and consumption of untreated tap water, boiled water, bottled water, and personally chlorinated water) during the May 1-4 2010 Boston water contamination incident. Most residents received warnings from peers and news media and these warnings mentioned 2.35 of five recommended elements of a warning message—most commonly the threat and the recommended protective action. TV was the most frequent channel for additional information, partly because it was the most frequent channel of routine information, but the Internet was also a common channel for additional information. Consumption of untreated tap water declined, consumption of personally chlorinated water remained negligible, and consumption of boiled water and bottled water increased during the incident. Warning receipt from an authority increased consumption of boiled water, whereas receipt of a less specific warning tended to increase consumption of bottled water. The distribution of warning times followed a logistic (S-shaped) distribution, with the largest increase taking place during prime TV news time (4-6pm). These results call attention to the need to increase the number of comprehensive warning response studies on rapid onset disasters to provide the basis for developing a comprehensive theory that can explain similarities and differences in responses to the full range of environmental hazards
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