Introduction: The assessment of health care needs must be reproducible, independent of the operator, hence the use of indexes like the Index of Orthodontic Treatment Need (IOTN). The aim of this study was to assess bo...Introduction: The assessment of health care needs must be reproducible, independent of the operator, hence the use of indexes like the Index of Orthodontic Treatment Need (IOTN). The aim of this study was to assess both, the prevalence of malocclusions among patients received in the Dental Surgery Unitat Yalgado Ouédraogo Teaching Hospital and their care needs according to IOTN index. Materials and Methods: It is a prospective, cross-cutting diagnostic study of malocclusions at Yalgado Ouédraogo Teaching Hospital (CHUYO), conducted from January 1 to December 31, 2016. The examiner with an examination tray records on the 12- to 16-year-old patients’ medical recorded, the variables based on the polychromatic pictures series, the IOTN rule, and the dental health component table. Results: On the whole, 81 patients were included, with 60.5% of girls and 39.5% of boys. 16- and 12-year-old patients were dominant. The average age was 14.05 years old. Various types of malocclusions were encountered. The need for orthodontic care was 56.8%. For 14 patients, 17.28%, their aesthetic component score is higher than the assessment made by the orthodontist. Conclusion: Aesthetics was an important factor in the need for orthodontic care. The aesthetic deficit entails a psychological impact that should be taken into account in the assessment of care needs.展开更多
针对应急场景中无人机(Unmanned Aerial Vehicle,UAV)辅助物联网节点(Internet of Things Node,IoTN)收集数据过程数据时效性差的问题,提出了一种基于费马点最小化数据收集时间的UAV路径优化方法。费马点的选取能够有效地优化UAV飞行路...针对应急场景中无人机(Unmanned Aerial Vehicle,UAV)辅助物联网节点(Internet of Things Node,IoTN)收集数据过程数据时效性差的问题,提出了一种基于费马点最小化数据收集时间的UAV路径优化方法。费马点的选取能够有效地优化UAV飞行路径,从而使数据收集时间最小,确保收集数据的及时性。该方法通过路径离散化将UAV飞行路径分段,利用连续凸优化(Successive Convex Approximation,SCA)转化复杂混合整数问题的非凸约束,围绕节点的联通性,优化UAV飞行速度与悬停点,求解出最小化数据收集时间的飞行路径。仿真结果表明,所提方法在收集数据时间方面相较于传统方法有6%的提升。展开更多
目的:调查上海地区青少年人群的正畸治疗需要及自身美学评价。方法:随机抽取上海地区11～13岁青少年686例(男355例,女331例),由正畸专科医师采用正畸治疗需要指数(index of orthodontic treatment need,IOTN)评定受试者正畸治疗需要。...目的:调查上海地区青少年人群的正畸治疗需要及自身美学评价。方法:随机抽取上海地区11～13岁青少年686例(男355例,女331例),由正畸专科医师采用正畸治疗需要指数(index of orthodontic treatment need,IOTN)评定受试者正畸治疗需要。IOTN包括学(dental health component,DHC)及美学(aesthetic component,AC)2部分。同时采用IOTN的美学部分让受试者对自身美观程度进行评价(self-perceived aesthetic component,SAC)。采用描述性统计及卡方检验对调查结果进行统计分析。结果:DHC评分显示26.0%的受试者明确需要正畸治疗,19.8%的受试者为临界病例;AC评分显示5.5%的受试者明确需要正畸治疗,31.7%为临界病例;SAC评分显示1.7%的受试者明确需要正畸治疗,6.4%为临界病例。在明确需要正畸治疗的受试者中,最常见的特征是严重接触点异常(>4 mm)。DHC与AC在评价治疗需要时77.8%结果一致,AC与SAC在评价治疗需要时65.0%结果一致。结论:将近一半的青少年人群明确需要正畸治疗或为临界病例,受试者在进行自身美观程度评价有从轻的倾向。展开更多
文摘Introduction: The assessment of health care needs must be reproducible, independent of the operator, hence the use of indexes like the Index of Orthodontic Treatment Need (IOTN). The aim of this study was to assess both, the prevalence of malocclusions among patients received in the Dental Surgery Unitat Yalgado Ouédraogo Teaching Hospital and their care needs according to IOTN index. Materials and Methods: It is a prospective, cross-cutting diagnostic study of malocclusions at Yalgado Ouédraogo Teaching Hospital (CHUYO), conducted from January 1 to December 31, 2016. The examiner with an examination tray records on the 12- to 16-year-old patients’ medical recorded, the variables based on the polychromatic pictures series, the IOTN rule, and the dental health component table. Results: On the whole, 81 patients were included, with 60.5% of girls and 39.5% of boys. 16- and 12-year-old patients were dominant. The average age was 14.05 years old. Various types of malocclusions were encountered. The need for orthodontic care was 56.8%. For 14 patients, 17.28%, their aesthetic component score is higher than the assessment made by the orthodontist. Conclusion: Aesthetics was an important factor in the need for orthodontic care. The aesthetic deficit entails a psychological impact that should be taken into account in the assessment of care needs.
文摘针对应急场景中无人机(Unmanned Aerial Vehicle,UAV)辅助物联网节点(Internet of Things Node,IoTN)收集数据过程数据时效性差的问题,提出了一种基于费马点最小化数据收集时间的UAV路径优化方法。费马点的选取能够有效地优化UAV飞行路径,从而使数据收集时间最小,确保收集数据的及时性。该方法通过路径离散化将UAV飞行路径分段,利用连续凸优化(Successive Convex Approximation,SCA)转化复杂混合整数问题的非凸约束,围绕节点的联通性,优化UAV飞行速度与悬停点,求解出最小化数据收集时间的飞行路径。仿真结果表明,所提方法在收集数据时间方面相较于传统方法有6%的提升。
