1,891 research outputs found

    Analysing Magnetism Using Scanning SQUID Microscopy

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    Scanning superconducting quantum interference device microscopy (SSM) is a scanning probe technique that images local magnetic flux, which allows for mapping of magnetic fields with high field and spatial accuracy. Many studies involving SSM have been published in the last decades, using SSM to make qualitative statements about magnetism. However, quantitative analysis using SSM has received less attention. In this work, we discuss several aspects of interpreting SSM images and methods to improve quantitative analysis. First, we analyse the spatial resolution and how it depends on several factors. Second, we discuss the analysis of SSM scans and the information obtained from the SSM data. Using simulations, we show how signals evolve as a function of changing scan height, SQUID loop size, magnetization strength and orientation. We also investigated 2-dimensional autocorrelation analysis to extract information about the size, shape and symmetry of magnetic features. Finally, we provide an outlook on possible future applications and improvements.Comment: 16 pages, 10 figure

    RFID-enabled Warehouse Process Optimization in the TPL Industry

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    Using the value chain model and a longitudinal real-world case study of a third-party logistics (TPL) supply chain, this study provides support for the enabling role of RFID technology in effecting warehouse process optimization. Furthermore, the findings of our study reveal the RFID technology implementation costs as the key inhibitors factor of RFID widespread adoption and usage among suppliers

    Efficient On-the-fly Category Retrieval using ConvNets and GPUs

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    We investigate the gains in precision and speed, that can be obtained by using Convolutional Networks (ConvNets) for on-the-fly retrieval - where classifiers are learnt at run time for a textual query from downloaded images, and used to rank large image or video datasets. We make three contributions: (i) we present an evaluation of state-of-the-art image representations for object category retrieval over standard benchmark datasets containing 1M+ images; (ii) we show that ConvNets can be used to obtain features which are incredibly performant, and yet much lower dimensional than previous state-of-the-art image representations, and that their dimensionality can be reduced further without loss in performance by compression using product quantization or binarization. Consequently, features with the state-of-the-art performance on large-scale datasets of millions of images can fit in the memory of even a commodity GPU card; (iii) we show that an SVM classifier can be learnt within a ConvNet framework on a GPU in parallel with downloading the new training images, allowing for a continuous refinement of the model as more images become available, and simultaneous training and ranking. The outcome is an on-the-fly system that significantly outperforms its predecessors in terms of: precision of retrieval, memory requirements, and speed, facilitating accurate on-the-fly learning and ranking in under a second on a single GPU.Comment: Published in proceedings of ACCV 201

    Reflections on Trauma: A Phenomenological Qualitative Secondary Analysis of Archived Interviews about Adolescent Experiences During the 1970 Kent State Student Shootings

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    Among short-term mental health consequences for adolescents who have proximate or direct experience with mass shootings in school settings are posttraumatic stress and posttraumatic stress disorder. Identifying incidence of enduring mental health impacts is challenging due to difficulty of tracking individuals into adulthood. The purpose of this paper is to use qualitative secondary analysis to explore how seven individuals reflectively describe and interpret their lived experiences as adolescents during the May 4, 1970, Kent State University Vietnam protest that resulted in deaths and injuries to students fired upon by Ohio National Guard. Archived transcripts from interviews conducted up to 48 years after the event were analyzed using a phenomenological qualitative approach. Aspects of common experience included confusion, emotionally charged responses from others directed toward community members following the event, and belief the experience had a profound and lasting impact on their lives, exemplified by vivid memories of minute details and comparative responses to other events. These findings illustrate how others’ reactions and subsequent incidents contribute to retraumatization into adult years. This report demonstrates the value of qualitative secondary analysis in general, while specific findings illustrate long-term impact of an adolescent trauma experience

    Nitric acid scavenging by mineral and biomass burning aerosols

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    The abundance of gas phase nitric acid in the upper troposphere is overestimated by global chemistry-transport models, especially during the spring and summer seasons. Recent aircraft data obtained over the central US show that mineral aerosols were abundant in the upper troposphere during spring. Chemical reactions on mineral dust may provide an important sink for nitric acid. In regions where the mineral dust abundance is low in the upper troposphere similar HNO3 removal processes may occur on biomass burning aerosols. We propose that mineral and biomass burning aerosols may provide an important global sink for gas phase nitric acid, particularly during spring and summer when aerosol composition in the upper troposphere may be greatly affected by dust storms from east Asia or tropical biomass burning plumes

    Teams Change Everything

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    Successful teams depend upon certain unique teamisms that describe that team and make it work for the colleagues involved. The Ohio State University Extension Nursery Landscape and Turf Team is such a team, and its cultural history helps define how it creates synergy that results in a high functioning, challenging, and collegial environment. From teams do not form in a vacuum, to teams need to constantly reinvent themselves, to a riff on team jazz, this article profiles a team in constant growth

    The Association Between Coping Strategies, Resilience, and Flourishing Among Students at Large U.S. University During the COVID-19 Pandemic: A Mixed Methods Research Study

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    Background: Mental illness indicators increased among U.S. university students in recent years; COVID-19 associated disruptions presented additional mental health challenges for students. Aim: This research aimed to assess the relationship between coping strategies identified by university students and scores on resilience and flourishing scales and to identify additional themes that described student experiences during the COVID-19 pandemic. Methods: An online survey was administered to students at a large public Midwestern University. Quantitative data were assessed using nonparametric tests for association and qualitative data were analyzed using cycles of open coding. Results: Most of the 3,473 respondents were female (76.5%) and white (83.6%), with a mean age of 24.67 years (SD = 8.08). The most frequent coping strategy was physical activity participation (n = 712), followed by socializing (n = 507). The highest resilience and flourishing scores were associated with compliance to COVID-19 associated recommendations or spiritual activities. Qualitative themes included the value of focusing on controllable aspects, the need to be strong for others, and the experience of academic overload during transition to online learning. Conclusions: Universities should endeavor to provide ongoing availability of counseling during university disruptions. Universities might also consider proactive efforts to guide students toward proficiency in strategies that improve coping skills, including some that do not center around technology

    Long-Term Stability of an Area-Reversible Atom-Interferometer Sagnac Gyroscope

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    We report on a study of the long-term stability and absolute accuracy of an atom interferometer gyroscope. This study included the implementation of an electro-optical technique to reverse the vector area of the interferometer for reduced systematics and a careful study of systematic phase shifts. Our data strongly suggests that drifts less than 96 ÎĽ\mudeg/hr are possible after empirically removing shifts due to measured changes in temperature, laser intensity, and several other experimental parameters.Comment: 4 pages, 4 figures, submitted to PR

    Influence of the COVID-19 pandemic on amphibian road mortality

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    The COVID-19 pandemic and its related human activity shutdowns provide unique opportunities for biodiversity monitoring through what has been termed the “anthropause” or the “great human confinement experiment.” The pandemic caused immense disruption to human activity in the northeastern United States in the spring of 2020, with notable reductions in traffic levels. These shutdowns coincided with the seasonal migration of adult amphibians, which are typically subject to intense vehicle-impact mortality. Using data collected as part of an annual community science monitoring program in Maine from 2018 to 2021, we examined how amphibian mortality probabilities responded to reductions in traffic during the pandemic. While we detected a 50% decline for all amphibians, this was driven entirely by reductions in frog mortality. Wildlife collision data from the Maine Department of Transportation on other wildlife species support our finding of drastic declines in wildlife road mortality in spring 2020 when compared with immediately previous and subsequent years. Additionally, we find that frogs suffer significantly higher road mortality than salamanders, particularly when conditions are warmer and wetter
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