20 research outputs found

    An Approximation of Label Distribution-Based Ensemble Learning Method for Online Educational Prediction

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    Online education becomes increasingly important since traditional learning is shocked heavily by COVID-19. To better develop personalized learning plans for students, it is necessary to build a model that can automatically evaluate students’ performance in online education. For this purpose, in this study we propose an ensemble learning method named light gradient boosting channel attention network (LGBCAN), which is based on label distribution estimation. First, the light gradient boosting machine (LightGBM) is used to predict the performance in online learning tasks. Then The Channel Attention Network (CAN) model further improves the function of LightGBM by focusing on better results in the K-fold CrossEntropy of LightGBM. The results are converted into predicted classes through post-processing methods named approximation of label distribution to complete the classification task. The experiments are employed on two datasets, data science bowl (DSB) and answer correctness prediction (ACP). The experimental results in both datasets suggest that our model has better robustness and generalization ability

    Assessment of the resilience of a Tartary Buckwheat (Fagopyrum tataricum) cultivation system in Meigu, Southwest China

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    Recent socioeconomic development, increased transport and new agricultural technology are endangering the survival of traditional agriculture and the Yi people’s traditional knowledge of cultivating Tartary buckwheat. The cultural heritage of Tartary buckwheat cultivation among the Yi communities needs to be investigated and protected before its loss. The main objectives of this study are to document the Tartary buckwheat cultivation system, to analyze the agroecosystem networks that support the current system, and to measure the resilience of the ecological, agricultural and social systems using relevant indicators. The Tartary buckwheat cultivation system in Meigu County uses a rotation system, in which various crops are planted alternatively (e.g., Tartary buckwheat, green manure and potato/corn), utilizing bunch planting and furrow drilling technology. Tartary buckwheat has an important position in the major festival activities among the Yi people’s communities. Network analysis on the current agricultural system, ecosystem and social system indicated that the system was stable. The mean score of ecological, agricultural and social stability were 2.50, 2.85 and 2.53, respectively, indicating moderately stability. In contrast, socio-ecological production landscapes and seascapes (SEPLS) resilience indicators in Meigu performed only moderately, with a score of 2.63. The assessment of the resilience of the Tartary buckwheat cultivation system can provide some guidance for policy makers to strengthen biodiversity conservation, sustainable agricultural production and livelihood development (e.g., land use, responding to extreme environmental stresses and improving education levels)

    Assessment of the resilience in SEPLS (Socio-Ecological Production Landscapes and Seascapes) in Yanuo Village, Xishuangbanna, Southwest China

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    Participatory ‘assessment workshops’ were held in 2018 in Yanuo Village, Xishuangbanna, Southwest China. The ‘Indicators of Resilience in Socio-Ecological Production Landscapes and Seascapes (SEPLS)’ tool was used to provide the community with a framework for discussion and analysis of socio-ecological processes essential for resilience. Workshops were planned and implemented by local people together with researchers from outside the community. Discussion, including a scoring process, was undertaken using a subset of twenty indicators designed to capture the communities’ perceptions of factors affecting the resilience of their landscapes. The indicators were also used to provide the local community with a framework to discuss both current conditions of resilience and potential areas for improvement. A key result was that the existing community management approach did not include loss of traditional knowledge as a factor that would impact on the livelihoods and well-being of the community. A mechanism to encourage young people to inherit and actively use traditional knowledge was agreed to be necessary and included in economic activities. In addition, the socio-economic infrastructure in the community needs further improvement. This community management assessment framework in Yanuo Village can be scaled out to other communities in tropical montane regions with similar socio-economic environments by supporting stakeholders (policymakers, NGOs and development agencies, etc.)

    The Model 2.0 and Friends: An Interim Report

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    Last year, I reported on preliminary results of an anatomically-inspired deep learning model of the visual system and its role in explaining the face inversion effect. This year, I will report on new results and some variations on network architectures that we have explored, mainly as a way to generate discussion and get feedback. This is by no means a polished, final presentation! We look forward to the group’s suggestions for these projects

    Resilience, organizational support, and innovative behavior on nurses’ work engagement: a moderated mediation analysis

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    ObjectivesTo investigate the status of nurses’ work engagement and the relationship among resilience, organizational support, and innovative behaviors.MethodsIn this cross-sectional study, we investigated 496 nurses in Hunan, China, from July 2022 to December 2022. A descriptive statistical approach, Pearson’s correlation analysis and Hayes’ PROCESS Macro Models 4 and 14 were used to analyze the available data.ResultsThe level of work engagement among nurses was found to be moderate. Resilience positively predicted work engagement among nurses. Organizational support played a partially mediating role in the association between resilience and work engagement. Furthermore, innovative behavior played a moderating role in the association between adaptive resilience and work engagement.ConclusionBased on the results, greater attention needs to be paid to nurses’ work engagement. A high level of resilience, organizational support, and innovative behavior may increase work engagement among nurses. Nursing leaders can take measures to increase work engagement among nurses by improving nurses’ resilience and organizational support, and cultivating innovative behavior

    Frequency domain based super-resolution method for mixed-resolution multi-view images

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    Quadratic Compressed Sensing Based SAR Imaging Algorithm for Phase Noise Mitigation

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    Diabetes distress as mediators of loneliness and health promotion behaviour: a cross-sectional study

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    Objectives The purpose of this study was to explore whether diabetes distress mediated the relationship between loneliness and health promotion in older adults with diabetes.Design A cross-sectional study.Setting The study was conducted at three tertiary hospitals in Changsha, Hunan Province, China.Participants The sample included 140 patients with diabetes (65 years and older, mean age 72.6 years, SD=4.6).Methods We employed path models to analyse data on diabetes distress, loneliness and health promotion behaviours. We collected diabetes distress, loneliness and health promotion behaviour with self-reported questionnaires including the Diabetes Distress Scale, the University of California at Los Angeles (UCLA) Loneliness Scale and the Elderly Health Promotion Scale from January 2022 to October 2022. Mediation analysis was performed by SPSS V.26.0’s PROCESS macro.Result The findings of this study indicated diabetes distress acted as a mediator between loneliness and health promotion behaviour. According to bootstrapping results, the total effect of loneliness on health promotion behaviour was significantly negative (β=−0.312, p=0.006). Loneliness significantly and negatively correlated with diabetes distress (β=−0.043, p<0.001), while diabetes distress significantly and negatively correlated with health promotion behaviours (β=−2.724, p=0.008). Both the indirect effect and the direct effect of loneliness on health promotion behaviour were significant.Conclusion Our study illustrated that loneliness was negatively associated with health promotion behaviours, and diabetes distress acted as a mediator in this relationship. It is suggested that healthcare providers should prioritise the identification and management of diabetes distress in older patients with diabetes who experience loneliness to improve health promotion behaviours and optimise disease management outcomes
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