2,766 research outputs found

    Focus Plus: Detect Learner's Distraction by Web Camera in Distance Teaching

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    Distance teaching has become popular these years because of the COVID-19 epidemic. However, both students and teachers face several challenges in distance teaching, like being easy to distract. We proposed Focus+, a system designed to detect learners' status with the latest AI technology from their web camera to solve such challenges. By doing so, teachers can know students' status, and students can regulate their learning experience. In this research, we will discuss the expected model's design for training and evaluating the AI detection model of Focus+.Comment: 5 Pages, 4 Figures, 2021 National Chair Professorship Academic Series: Teaching and Learning in Pandemic Er

    Plasmonics and hot electrons: Feature issue introduction

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    Light-matter interaction can be significantly enhanced in plasmonic nanoparticles and nanostructures, as the latter give rise to high-field localization and enhancement. This feature issue highlights six contributions on recent advances in plasmonics, hot-electron dynamics, quantum surface and tunneling effects, as well as their applications, with a focus on practical materials and nanostructures with enhanced hot-electron generation

    Recovery from Anorexia Nervosa in contemporary Taiwan: A multiple-case qualitative investigation from a cultural-contextual perspective

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    Grounded in a cultural and contextual perspective, the current study examined the lived experiences and the recovery pathways of three Taiwanese women diagnosed with various subtypes of anorexia nervosa, at varying stages of their recovery. Specifically, using a multiple-case qualitative method, this study explored the complex, dynamic interactions of sociocultural factors and forces (i.e., cultural, familial, and societal influences) that impinge upon the three Taiwanese female participants in relation to living with anorexia nervosa in contemporary Taiwan. Data were collected based on in-depth, semi-structured interviews with the participants and relevant written materials and journal entries provided by these participants. The data were first analyzed within each case and then again across all cases. Accordingly, we present the results of the study by illustrating each participant’s story and narrative of struggling with and recovering from anorexia. We then describe three main culturally-related themes that emerged from the cross-case analysis, which pertain specifically to the recovery process of the participants under the East-West ‘biculturalism’ in Taiwan: 1) anorexia as a function of the conflictual bicultural self; 2) recovery as a pathway towards an integrated bicultural self; and 3) the paradoxical roles of Chinese cultural heritage in anorexia and recovery. Findings of the study highlight the role of local cultural factors/forces, including Chinese familism, Confucianism, filial piety, face-saving, gender role prescriptions, biculturalism, Westernization, and self-relation-coordination, in affecting and shaping Taiwanese women’s struggling with anorexia. Implications and recommendations for future research and clinical interventions are discussed

    Development of a revised taxonomic approach for improving supply chain integration and collaboration

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    Although integration and collaboration are considered critical factors in supply chain practice, improving integration and collaboration still encounters a dilemma that is ascribable to three problems, i.e., partners’ opportunistic behaviours, the complicated resource distribution and heavy workloads, and large time costs. To solve these problems and effectively improve integration and collaboration, a revised taxonomic approach will be developed in this research. Based on the case of East Asia, the revised taxonomic approach can produce guidelines to help manufacturers well know how to effectively improve integration and collaboration in a sequential manner and avoid encountering the three problems noted above. There are multiple implications of this study; the research results not only develop a new approach by revising theory but also provide convenient tools to help manufacturers effectively improve integration and collaboration when entering different markets. Thus, this study makes great contributions to the field

    Functional decline and mortality in long-term care settings: Static and dynamic approach

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    AbstractBackground/PurposeFunctional impairment is known to be associated with higher mortality risk and adverse health outcomes. However, little is known about whether functional decline could predict mortality among the elderly in the long-term care setting.MethodsThis is a prospective cohort study in two veteran homes in northern Taiwan with active use of the minimum data set (MDS). Evaluation tools retrieved from the MDS, including MDS Resource Utilization Group-III for Activities of Daily Living (RUG-III ADL), MDS Cognitive Scale, MDS Social engagement, triggers for resident assessment protocol (RAP) and Pain scale, were utilized for the analysis.ResultsA total of 1125 male participants were included in this study. The mean age of the participants was 83.1 ± 5.1 years, and 65 (5.8%) developed physical functional decline within a 6-month period. Participants with functional decline [odds ratio (OR) 2.305, 95% confidence interval (CI) 1.002–5.303], poor baseline functional status (OR 1.116, 95% CI 1.002–1.242), positive RAP triggers for dehydration (OR 13.857, 95% CI 3.07–62.543), and underlying chronic lung diseases (OR 2.279, 95% CI 1.149–4.522), depression (OR 2.994, 95% CI 1.161–7.721), and cancer (OR 3.23, 95% CI 1.078–9.682) were more likely to have an additional 12-month mortality. By contrast, Parkinsonism (OR 3.875, 95% CI 1.169–12.841), increase in sum of RAP triggers (OR 6.096, 95% CI 2.741–13.562), and positive RAP triggers for cognitive loss (OR 3.164, 95% CI 1.612–6.212) and mood (OR 2.894, 95% CI 1.466–5.71) are strong predictors for functional decline within 6 months.ConclusionPhysical function decline within 6 months predicted the subsequent 1-year mortality, whereas increased sum of RAP triggers and positive trigger for cognitive loss and mood were associated with functional decline

    The Effect of Customization Service on Flow Experience and Behavior Intensions in Customer Co-Design Process

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    Computer Mediated Environments (CMEs) prepared a satisfactory opportunity for providing customization service on line. This characteristics of synchronous and interactive allow designers or enterprises enhance to discover customer s’ demands. Interface design plays a core role and influence customers’ decisions. Yet, the research of this field also has varied investigation about “flow experience”, which considerable attention has been paid in the past to research issues related to motionless state of customization product process in CMEs (e.g. system, technology, and communication tool et al.), a literature on issues of dynamic state has emerged only very slowly and in a more scattered way. It excited the curiosity of this study In this study, we attempt evaluate customization improvements of customer value by content customization and context customization. Further to investigate the relationships between content and context customization, flow experience and behavioral intentions when provide customer co-design service. According the findings, content customization service and context customization service provided enhanced the flow experience occur. Yet, the flow experience was significantly associated with behavior intension

    Time‐Dependent Cryospheric Longwave Surface Emissivity Feedback in the Community Earth System Model

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    Frozen and unfrozen surfaces exhibit different longwave surface emissivities with different spectral characteristics, and outgoing longwave radiation and cooling rates are reduced for unfrozen scenes relative to frozen ones. Here physically realistic modeling of spectrally resolved surface emissivity throughout the coupled model components of the Community Earth System Model (CESM) is advanced, and implications for model high‐latitude biases and feedbacks are evaluated. It is shown that despite a surface emissivity feedback amplitude that is, at most, a few percent of the surface albedo feedback amplitude, the inclusion of realistic, harmonized longwave, spectrally resolved emissivity information in CESM1.2.2 reduces wintertime Arctic surface temperature biases from −7.2 ± 0.9 K to −1.1 ± 1.2 K, relative to observations. The bias reduction is most pronounced in the Arctic Ocean, a region for which Coupled Model Intercomparison Project version 5 (CMIP5) models exhibit the largest mean wintertime cold bias, suggesting that persistent polar temperature biases can be lessened by including this physically based process across model components. The ice emissivity feedback of CESM1.2.2 is evaluated under a warming scenario with a kernel‐based approach, and it is found that emissivity radiative kernels exhibit water vapor and cloud cover dependence, thereby varying spatially and decreasing in magnitude over the course of the scenario from secular changes in atmospheric thermodynamics and cloud patterns. Accounting for the temporally varying radiative responses can yield diagnosed feedbacks that differ in sign from those obtained from conventional climatological feedback analysis methods.Plain Language SummaryClimate models have exhibited a persistent cold‐pole bias, whereby they systematically underestimate the average temperature and the amplification of climate change at high latitudes. A number of different explanations have been advanced for cold‐pole biases, which can be broadly divided into radiative and dynamic explanations. Here we explore in detail a relatively novel radiative explanation for the cold‐pole bias: the ice emissivity feedback. Similar to the difference in shortwave reflectivity of unfrozen and frozen surfaces, recent literature has shown that unfrozen surfaces are less emissive than frozen surfaces, which can induce a positive radiative feedback. We first present the highly nontrivial implementation of this feedback in a global circulation model (GCM) and show how to harmonize the disjointed representation of surface emissivity within the radiative transfer calculated by atmospheric and land components of a GCM. With this modified model, we show how this ice emissivity feedback depends on atmospheric water vapor and thus varies on time scales ranging from seasonal to centennial. We also show that the ice emissivity feedback is seasonally complementary to the well‐known ice‐albedo feedback, where the former is most influential during polar night. Finally, we show that including this feedback essentially eliminates the cold‐pole bias on the model we used.Key PointsLW spectral surface emissivity improves CESM Arctic surface temperature bias by 6.1 ± 1.9 degrees KelvinSpectral emissivity kernels computed for 200+ period are nonlinear in timeTemporally and spatially localized atmospheric dynamics show decreased climatological seasonal sea ice emissivity radiative response in ArcticPeer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/142486/1/jgrd54377_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/142486/2/jgrd54377.pd
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