Modern health worries in Pakistani immigrant women in Oslo,Norway

BackgroundThe main study objective was to investigate modern health worries (MHW) in a group of Pakistani immigrant women in Norway, and to compare it with a group of ethnic Norwegian women. A further aim was to examine differences in MHW with level of education and acculturation in this immigrant group.MethodsThe Pakistani women (N = 101) completed a questionnaire to assess MHW and sociodemographic variables. MHW data were obtained via telephone interviews for the subsample of Norwegian women (N = 344).ResultsThe Pakistani women generally showed lower levels of MHW than did the ethnic Norwegian women. However, when stratified on education, the difference was mainly apparent in the low and middle educational groups. The Pakistani women with high levels of education tended to report higher levels of MHW than those with lower education levels. They reported significantly higher levels of worries about avian flu, radiation from computer screens, and vaccination programmes than did the ethnic Norwegian women on the same high educational level. Their different degrees of acculturation in the Norwegian society appeared to influence their levels of MHW, as the assimilated women showed the highest levels of MHW, whereas the separated women showed the lowest levels.ConclusionsThe group of Pakistani immigrant women was very heterogeneous in terms of MHW, and health authorities and health care workers should therefor adapt health and risk information according to different levels of integration and education.     

肌筋膜疼痛综合征诱因及外治手段研究进展

不良生活习惯和伤后康复不佳导致的肌筋膜疼痛综合征已经成为当前影响人们生活质量的因素之一。本文运用文献资料法,梳理肌筋膜疼痛综合征的诱因及外治(非内服药物治疗)手段,探究其干预手段的疗效,由病因入手,研究最佳干预方法。综合研究表明:(1)肌筋膜疼痛综合征病因包括:骨骼肌及筋膜外伤、风寒入侵机体、慢性劳损、局部肌筋膜慢性炎症损伤等;(2)目前对肌筋膜疼痛综合征康复的方法主要以针刺和温和灸为主,本文纳入针刺治疗和温和灸治疗有效率高达89.5%和100%;(3)其发病的常见部位为腰背部及肩颈部,不同部位、不同病因的肌筋膜疼痛综合征应采取不同的治疗方式,复合治疗方法比单一手段干预效果更佳。     

Health-related fitness knowledge growth in middle school years: Individual- and school-level correlates

BackgroundHealth-related fitness knowledge (HRFK) has been an essential concept for many health and physical education programs. There has been limited understanding and longitudinal investigation on HRFK growth. This longitudinal study examined HRFK growth and its individual- and school-level correlates in middle school years under 1 curriculum condition: Five for Life.MethodsParticipants were 12,044 students from 47 middle schools. Data were collected at both individual/participant and school/institution levels. Individual-level variables included gender, grade, and HRFK test scores. School-level variables included percentage of students receiving free and reduced meals (FARM), student-to-faculty ratio for physical education, and school academic performance (SAP). We used hierarchical linear modeling to examine HRFK 3-year growth in relation to individual- and school-level correlates.ResultsThe average HRFK score at 6th grade for females was 42.81% ± 1.32%. The predicted HRFK growth was 17.06% ± 1.02% per year, holding other factors constant. A 1-standard deviation increase in FARM correlated with a 14.68%-point decrease in predicted test score (p = 0.02). A 1-standard deviation increase in SAP was associated with an 11.90%-point increase in HRFK score. Males had a significantly lower growth rate than females during the middle school years (0.78%/year, p = 0.02).ConclusionThe result showed that both individual- and school-level variables such as gender, FARM, and SAP influenced HRFK growth. Educators should heed gender differences in growth curves and recognize the correlates of school-level variables.     

FPSO爆燃事故加强机制分析

为探究海上浮式生产储油卸油船(floating production storage and offloading,FPSO)爆燃事故加强机制,采用计算流体力学(computational fluid dynamics, CFD)对FPSO爆燃事故进行数值模拟。模拟结果表明,在拥塞度较大的钢架结构区域,火焰速度和爆燃压力急剧增大。为进一步探究复杂钢架结构和管系对爆燃事故的加强机制,搭建半开敞管道甲烷 空气爆燃实验系统。实验结果表明,在爆燃过程中复杂钢架结构和管系能够诱导火焰产生强烈的湍流作用,加快未燃气体的燃烧速度,导致爆燃事故后果加强。结合数值模拟结果与实验结果,为FPSO爆燃事故防治给出建议。     

基于隐马尔科夫模型的VLCC目的港预测

超大型油船(very large crude carrier,VLCC)目的港预测对海运原油流向预测以及货源地未来运力估计具有重要作用。针对VLCC的AIS目的港信息存在缺失、更新不及时、不准确等现象,提出一种基于隐马尔科夫模型的VLCC目的港预测方法。分析船舶AIS轨迹数据,得到油船历史停靠港口序列;根据VLCC轨迹提取习惯航路,以航路中的交叉点为依据设置观测线;利用船舶航行轨迹数据判断船舶是否经过观测线以及经过观测线的方向,对不同方向分别计算船舶在挂靠港间的转移概率矩阵和船舶挂靠港与观测线间的输出概率矩阵,建立VLCC目的港预测模型并进行预测。研究结果表明：在大多数情况下VLCC目的港预测的准确率可以达到70%以上;航线越固定、运行越规律的船舶,预测准确率越高;船舶越靠近目的港,预测越准确;重载状态下的船舶目的港预测更准确。     

全渠道零售场景下配送车辆路径问题

为研究全渠道零售的配送系统对企业物流成本的影响,综合考虑时间窗、车型选择等因素,以运输成本最低为目标,建立高度协同的全渠道零售场景下的物流配送模型。该模型采用自适应遗传算法求解,利用MATLAB进行算例分析。结果显示:全渠道零售模式下的车辆调度方案能迅速响应消费者需求,与一般配送模式相比可以减少物流成本,优化车辆配置。与粒子群优化算法相比,自适应遗传算法的运行时间更短、优化结果更好,这验证了模型和算法的可行性和有效性。     

基于DE-SVM的船舶航迹预测模型

为提高船舶航迹预测精度,解决准确建模难度大和神经网络易陷入局部最优的问题,考虑实时获取目标船AIS数据较少的特点,提出一种基于支持向量机(support vector machine,SVM)的航迹预测模型。选择AIS数据中的航速、航向和船舶经纬度作为样本特征变量;采用小波阈值去噪的方法处理训练数据;采用差分进化(differential evolution,DE)算法对模型内部参数寻优以提高模型收敛速度和预测精度。选取天津港实船某段航迹的AIS数据,比较基于DE-SVM与基于BP神经网络的航迹预测模型的仿真结果。结果表明,基于DE-SVM的航迹预测模型具有更高的预测精度,简单、可行、高效,且耗时少。     

基于NSGAⅡ的带时间窗生鲜品配送路径优化

考虑到生鲜品的易腐性、高时效性和对运输环境要求高的特点,为减少生鲜品配送企业的配送成本,提高客户满意度,在车辆载重、时间窗、生鲜品保质期等约束条件下,提出将配送总成本最小化和生鲜品新鲜度最大化的多目标车辆路径优化模型。利用改进的非支配排序遗传算法(non-dominated sorting genetic algorithmⅡ,NSGAⅡ)对模型进行求解。求出满足配送总成本最小和生鲜品新鲜度最大的相对较优解,证明模型的有效性。该模型在大规模配送和客户地理位置分布较为分散的情况下,对生鲜品新鲜度的优化较为明显。     

线状需求下两阶段设施选址问题

鉴于大型交通线路建设项目的物资需求随时间变化(在初期阶段需求较低;在后续阶段项目全面展开,需求显著上升),本文采用线积分对沿线连续分布的线状物资需求进行刻画,构建两阶段设施选址模型,第一阶段进行部分设施的选址,第二阶段对剩余设施选址,以实现系统总成本最低的目标。针对模型特点,设计基于Voronoi图的两阶段交替定位-分配(alternative location-allocation,ALA)算法进行求解,并进行实例分析,比较两阶段模型与传统模型的异同。研究表明,将两阶段设施选址模型应用于交通线路建设项目多物流节点选址,能节约运营成本,并缓解初期资金压力。     

对2019年中国电视剧研究的分析与反思

2019年正值新中国成立70周年,我国电视剧创作出产了许多革命历史题材和现实主义电视剧佳作,同时网络剧也开始从边缘走向中心,成为观众喜闻乐见的电视剧形式。通过梳理、概括国内重要的学术期刊、报纸和会议论文中关于电视剧研究的文章,并从内容创作、美学价值、类型特点和女性塑造等几个方面进行解读,可以归纳出本年度电视剧研究的热点和焦点,同时也提出了对电视剧研究新动向的一些看法,以期为电视剧研究和创作提供借鉴。