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关键词： 基础输液   分类方法   编码   调查问卷  

摘要： 目前基础输液包装系统缺乏明确的分类标准及分类规则,本研究从容器材质、结构、接口形式、组合盖及外袋性质5个方面对基础输液包装系统进行综合定义,拟建立一种基于编码模式的分类方法;并通过调查问卷的形式对7家基础输液生产企业相关产品信息进行调查,以验证该分类方法能够全面有效地涵盖现有基础输液包装系统,且具备一定的指导性与扩展性,以期能为基础输液包材领域的进一步研究提供便利,同时为临床使用和医疗保险等药政管理提供依据。

关键词： 粮油检验   食品安全   安全监督  

摘要： 在食品科学以及营养学日渐普及的时代背景下,人民群众开始关注粮油食品的安全问题。本文首先对粮油检验监督概念进行了简单说明,然后分析了粮油检验监督在食品安全中的作用。

关键词： 塑料   手工提取   轻量级   深度学习  

摘要： 为解决塑料包装袋难识别以及难收集问题,应用神经网络提出一个轻量级包装袋分类模型。模型网络分为预处理层、特征提取层和分类层,且在预处理层模拟手工特征提取方式,应用SQUARE 3×3高通滤波器捕获丰富图像纹理特征。经仿真研究模型各层卷积核数量、卷积核尺寸、训练时长、批次样本数对模型的影响,方案6各层卷积核数量、尺寸和批次样本数分别为64、3×3和8,捕获丰富包装袋特征,具备最佳测试分类准确率0.7305,较适用于实际包装袋分类工作,高于传统HOG模型约13%。实验结果可为当前包装袋识别分类工作提供一定的参考。

关键词： 血清补体C3、C4   多发性骨髓瘤   ISS分期   骨密度  

摘要： 目的:分析血清补体C3、C4检验在多发性骨髓瘤患者病情评估中的作用。方法:在2018年6月~2020年5月到我院进行诊疗的多发性骨髓瘤患者中,选取100例纳入本次研究的观察组,将我院招募的100例健康志愿者作为对照组。对比两组受检者的血清补体C3、C4水平、骨密度,对比多发性骨髓瘤患者中不同ISS分期患者间的血清补体C3、C4水平,分析血清补体C3、C4水平与多发性骨髓瘤患者骨密度关系。结果:两组受检者的血清补体C3、C4水平、骨密度存在明显差异(P<0.05),多发性骨髓瘤患者中不同ISS分期患者间的血清补体C3、C4水平也存在明显差异(P<0.05),血清补体C3、C4水平与多发性骨髓瘤患者骨密度呈负相关关系(P<0.05)。结论:多发性骨髓瘤患者的血清补体C3、C4水平明显升高,患者病情越严重,血清补体C3、C4水平越高,骨密度越低。血清补体C3、C4水平检验在多发性骨髓瘤患者病情评估中提供了重要的判断依据。

关键词： 包装正面营养标签   类别   方法学   营养素  

摘要： 目的系统介绍全球主要的预包装食品包装正面营养标签(front-of-packagenutritionlabels,FOP)不同类型及方法学特点。方法分类列举现有的FOP类别,归纳总结其特征及方法学特点。结果FOP可分为特定营养素型,特定营养素总结解释型,总结评价型,以及混合型四类,不同的FOP方法学特点和原理不同。结论所有FOP营养标签中最关注的营养素是钠、脂肪(饱和脂肪、反式脂肪)和总糖。总结评价型FOP是目前应用最为广泛的类型.

关键词： 感染性疾病   微生物检验   感染控制   作用效果  

摘要： 目的探讨基于微生物检验进行感染控制的临床效果。方法择取2018年1月至2018年12月我院750例感染性疾病患者,分为实验组(根据微生物检验结果予以针对性抗菌治疗,375例)和对照组(经验性用药抗菌药物,375例),统计实验组微生物检验结果,观察两组疗效。结果实验组痰培养阳性314例,阳性率83.73%,共计分离菌株316株。实验组治疗总有效率(99.47%)高于对照组(82.13%),差异有统计学意义(P<0.05)。结论微生物检验能够有效明确感染致病菌种类及药物敏感情况,为抗菌药物合理使用提供依据和指导。

关键词： Spatial interaction   Land-use function complementarity   Gravity model   Smart card data   TRIP DISTRIBUTION   NETWORK STRUCTURE   TRAVEL DEMAND   MODEL   PATTERNS   MOBILITY   CITIES   CHINA   DESTINATIONS   TRADE  

摘要： Spatial interaction is an important phenomenon that reflects the human-land relationship and has long been a core topic in multiple fields, such as urban planning, transportation planning, commodity trade, and epidemic prevention. However, as an underlying cause of spatial interaction, function complementarity has been ignored by existing research for a long time. At the same time, the increase in Big Data of travel behavior provides an opportunity to model spatial interactions in detail. In this paper, we proposed three types of land-use function complementarity indices according to the spatiotemporal characteristics of human mobility. These complementarity indices are introduced to spatial interaction to improve the gravity model. We also examined the effects of land function complementarity on intra-urban spatial interaction using smart card records of metro system for different time periods and directions. The results showed that all models could be improved by introducing the land-use function complementarity indices, but the models with a single travel pattern and clear direction were explained more by the complementary indices. The indices we propose in this paper could be used for predicting spatial flow and trip distribution, and also could be considered as factors in researches about transportation and land-use planning.

关键词： Face recognition   Dictionary learning   Virtual samples   Small sample size problem   SPARSE REPRESENTATION   COLLABORATIVE REPRESENTATION   OVERCOMPLETE DICTIONARIES   LINEAR-REGRESSION   CROWD EVACUATION   K-SVD   IMAGE   ALGORITHM   MODEL  

摘要： Face recognition has earned its high reputation for many years since its considerable advances. However, it is still faced with the challenge of the small sample size problem. With the inspiration of the axis-symmetrical property of human faces, we propose a novel virtual sample synthesis strategy to address the issue of limited training samples. It is noteworthy that the novel algorithm can produce symmetry-based virtual face images, in which the pixels in symmetric parts of the face image were exchanged. And it is mathematically very tractable and quite easy to implement. In addition, considering the fact that dictionary learning (DL) based classification methods have excellent learning ability, we incorporate the virtual samples to learn virtual dictionary so as to enhance the accuracy of face recognition. Differing from conventional learning algorithms, the proposed method provides new insights into two crucial parts. Firstly, it proposes an originally creative idea and algorithm to automatically generate symmetry-based virtual samples and obtain virtual dictionary. Secondly, the original dictionary and virtual dictionary are integrated to construct the compound dictionary learning based classification in the way of adaptive weighted fusion. In this paper, we take the axis-symmetrical nature of faces into consideration and design a framework to generate compound dictionary, where more satisfactory classification accuracy can be achieved than the original dictionary learning methods, referred as, the locality-constrained and label embedding dictionary learning (LCLE-DL). Moreover, the experimental results demonstrate the superior performance of the proposed method in comparison with state-of-the-art dictionary learning methods.

关键词： Morphological filtering   Point cloud segmentation   Shangri-La   TLS   Vertical structure   BIOMASS ESTIMATION   TERRESTRIAL  

摘要： The vertical structure of forests affects energy transfer and material exchange within forest ecosystems and is of great significance to scientific forestry and ecology research. In this paper, the Shangri-La forest plot in northwestern Yunnan Province of China was the study area. The forest sample plot point cloud data were obtained by terrestrial laser scanning technology. A new method for classifying the vertical structure of forest sample plots based on point cloud data is proposed. The method comprehensively utilizes morphological filtering and comparative shortest-path (CSP) algorithm point cloud segmentation technology. Additionally, the method proposes the concept of secondary CSP segmentation that precisely classifies three types of vertical features in forest point cloud data: trees, shrubs and the ground. Finally, an accuracy analysis showed that the error rate of the tree results was 1.87%, and the error rate of the shrub results was 16.23%.

关键词： Social anxiety   Positive affect   Negative affect   Social stress   Anxiety reactivity   EMOTIONS BROADEN   PSYCHOLOGICAL RESILIENCE   MOMENTARY ASSESSMENT   PUBLIC-SPEAKING   NEGATIVE AFFECT   BUILD THEORY   EXPERIENCES   DEPRESSION   ATTENTION   OUTCOMES  

摘要： Background: Positive affect (PA) attenuates negative reactivity to stress; however, this adaptive function of PA is seldom studied in psychiatric conditions characterized by more extreme forms of affective responding. We tested distinct associations of PA and negative affect (NA) with anxiety reactivity in participants with social anxiety disorder (SAD)-a condition characterized by heightened NA and diminished PA-and non-SAD control subjects. Method: Adults with a principal diagnosis of SAD (n = 71) and those without a psychiatric history (n = 36) rated their PA and NA during the past week, and were exposed to a laboratory stressor wherein they delivered a video-recorded speech on a controversial topic. Anxiety reactivity was assessed in terms of anticipatory anxiety prior to the speech, and observer-rated anxiety-related behavior during the speech. Results: Across all participants, higher PA significantly predicted lower anticipatory anxiety and less anxiety-related behavior, beyond level of NA; lower NA significantly predicted attenuated anticipatory anxiety, but not anxiety-related behavior, beyond level of PA. The association between PA and stress reactivity was diminished for individuals with especially elevated NA, as well as for individuals with SAD compared to those without. Conclusions: PA may be protective against negative reactivity to social stress; however, theoretical models and clinical applications should consider possible interactive effects of PA and NA in modulating stress reactivity.