Subjects: Medicine, Pharmacy >> Preventive Medicine and Hygienics submitted time 2024-02-19 Cooperative journals: 《中国全科医学》
Abstract： Background Currently，research on the factors influencing the health status of older adults with multimorbidity in China is scattered，and it is difficult to give a comprehensive consideration from a holistic perspective，and the contribution of factors leading to health disparities is not explored，resulting in the ineffectiveness of current health management often programs in older adults with multimorbidity. Objective By introducing a health bifactor model，this study aims to understand the endogenous and exogenous influencing factors and their contributions to the health of older adults with multimorbidity and provide a practical basis for developing precise health management plans for older adults with multimorbidity. Methods In this study，using the China Health and Retirement Longitudinal Survey（CHARLS）2018 data and introducing the two-factor model of health developed from the Grossman health production function（including both endogenous and exogenous aspects of health determinants），first，the Wilcoxon rank sum test was used to analyze whether there were differences in the health status of older adults with multimorbidity by gender，Secondly，the OLS regression model was used to analyze the mechanism of the two-factor model of health on the health of older adults with multimorbidity，Finally，the Shapley value method was further used to decompose the contribution of health endogenous factors to their health. Results The study found that factors such as still drinking alcohol，having no disease control methods，being satisfied with medical services，having a high level of education，having a pension，not using health services，attending free health checks，caring for grandchildren and being satisfied with their children's relationship were more likely to improve the health of older people with multiple chronic conditions. The results of the Shapley decomposition showed that ＂ socioeconomic status ＂ was the most important factor in the full sample，while ＂ family health support ＂＂ health-related behaviors ＂，and ＂ health-related behaviors ＂ were the most important factors. ＂ coping strategies ＂ was the next most important，and ＂ social health resources ＂ was the least influential. In the gender subgroup analysis，socioeconomic status remained the most important factor； for older men with multiple chronic illnesses，health-related behaviors were the next most important factor； for older women with multiple chronic illnesses，coping strategies were the next most important. Conclusion The health status of elderly men with multimorbidity is better than that of women，socioeconomic status is the most important factor affecting the health of older adults with multimorbidity，and the remaining four dimensions have different contributions to the health differences between men and women. It is recommended that precise health management should be implemented according to the size of the contribution of each dimension of different health endogenous factors to improve the health status of older adults with multimorbidity with maximum benefit.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] It is of great practical significance to re-examine the space reconstruction of university libraries from a cultural perspective, integrating cultural elements into the space and paying attention to the process of space reconstruction as a process of cultural education are to realize the service upgrading and cultural education on the basis of perfect functions of the space. [Method/process] From the perspective of culture, this paper deeply analyzed the process of organization and practice of university library space reconstruction. Combined with the work practice of space reconstruction in Northeastern University Library, the paper deeply considered the methods to realize the service upgrading and cultural education. [Result/conclusion] From the perspective of culture, examining the space reconstruction of university library is more conducive to the overall planning of the space reconstruction work, so as to realize the education value of university library space.
Subjects: Medicine, Pharmacy >> Preventive Medicine and Hygienics submitted time 2023-03-28 Cooperative journals: 《中国全科医学》
Abstract： Background Multimorbidity have become a major character in the course of chronic diseases that brings a challenge for public health in China. The development of multimorbidity research in China is in an early stage with fewer literature，and there is a lack of systematic and comprehensive literature analysis. Objective To conduct a bibliometric and visual analysis of research hotspots and evolutionary trends in the field of multimorbidity in China，grasp the research frontiers and development directions in the field，thereby providing a reference for future research directions. Methods CNKI（Chinese data source）and WOS（foreign data source） were searched for the literature in the field of multimorbidity researches published by Chinese researchers. CiteSpace software was used to analyze the spatial and temporal distribution of multimorbidity and explore the research hotspots and evolutionary trends in the field of multimorbidity by plotting the collaboration network map of institutions and co-occurrence map of keywords for researches in the field of multimorbidity published by Chinese researchers. Results The number of published literatures in the field of multimorbidity showed an increasing trend from 2002 to 2022. The top 5 Chinese keywords were “comorbidity （342）”“older adults（161）”“depression （155）”“chronic diseases （106）”“diabetes （94）”；and the top 5 English keywords were “prevalence （126）”“older adults （92）”“multimorbidity （91）”“health （75）” “disease（71）”. There were 4 development stages in the research development history of multimorbidity: The initial stage of research，the researchers focused on the comorbidity characteristics but did not define it in a uniform way；The second stage of research，the researchers focused on comorbidity and chronic disease in older adults，discovered the high prevalence of multimorbidity in the elderly population；The third stage of research，the domestic researches on multimorbidity developed rapidly，involving influencing factors，comorbidity patterns，polypharmacy，quality of life and debilitation；The fourth stage of research，the definition of multimorbidity is becoming clearer，showing a trend of research diversification. Conclusions Researches in the field of multimorbidity is becoming increasingly diversified. Researchers should focus on the prevention and treatment of complex multimorbidity，and construct health management strategies and community intervention programs for multimorbidity population in China.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2019-01-28 Cooperative journals: 《计算机应用研究》
Abstract： The purpose of outlier detection is to effectively identify anomalous data in the dataset and to mine meaningful potential information in the data set. The existing outlier detection algorithm does not process the original data, resulting in too high computational time complexity and unsatisfactory detection results. This paper proposes a two-stage outlier detection algorithm NLOF based on grid filtering: First use grid filtering to initially screen the original data, put data with a density less than a certain threshold into a candidate exception subset; then in order to further optimize the density-based algorithm, based on the k-neighborhood, according to the ratio of the number of data points in the neighborhood to the area of the circle formed by the neighborhood, as the basis for calculating the data point density, outlier detection to obtain a more accurate outlier set. Experiments have been carried out on a variety of public datasets. Experiments show that this method can achieve good performance in anomaly detection and reduce the time complexity of the algorithm.
Subjects: Materials Science >> Materials Science (General) submitted time 2017-11-21 Cooperative journals: 《金属学报》
Abstract：搅拌摩擦焊接过程中的产热、传热与塑性材料流动行为直接决定了焊接接头的组织演变及力学性能。对这些物理现象开展数值模拟研究，对于深入理解搅拌摩擦焊接过程的物理机制和优化焊接工艺具有重要意义。本文综述了搅拌摩擦焊接过程产热、传热与材料流动数值模拟的国内外研究现状，指出了存在的主要问题。介绍了作者课题组近年来针对这些问题所开展的研究工作。根据搅拌头-工件界面上的受力特点，研发出了黏着系数和摩擦系数的测试-计算法，为提高数值模拟的精度奠定了基础。建立了针对复杂截面形状搅拌针的搅拌摩擦焊接过程数学模型，数值分析了三种典型搅拌头情况下焊接过程中的产热率、温度分布和塑性流动行为。建立了包含下压、停留、焊接及冷却四个阶段的搅拌摩擦焊接全过程的传热-流动耦合模型，模拟了焊接过程各阶段的产热、温度场和塑性材料流动的演变情况。在此基础上，对搅拌摩擦焊接过程数值模拟领域未来的发展趋势给予了展望，提出了下一步的研究重点。
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