厦门(新)站综合交通枢纽换乘客流组织评价研究

交通枢纽的核心功能在于换乘,枢纽的首要任务是构建高效、快捷、便利的换乘条件,而对枢纽换乘效率产生巨大影响的因素主要是枢纽交通设施的布局及客流组织方式。利用传统四阶段法建立枢纽换乘量的预测模型,对厦门(新)站枢纽的换乘量进行预测,并在厦门(新)站枢纽现有规划设施布局的基础上,制定合理的换乘组织方案,同时建立评价指标对枢纽的客流组织进行评价,得到厦门(新)站枢纽交通设施布局的不足,提出改善措施。     

NK细胞杀伤ARH-77细胞的活性及机制的初步探讨

目的探讨同种异体NK细胞杀伤人骨髓瘤ARH-77细胞的活性及机制。方法 LDH释放法检测NK细胞杀伤ARH-77细胞的活性;RT-PCR方法和流式细胞仪分别检测K562和ARH-77细胞NKG2D配体和HLA-I基因和分子。阻断K562和ARH-77细胞NKG2D配体,观察NK细胞杀伤活性的变化。结果相同效靶比时NK细胞杀伤ARH-77细胞的活性明显低于杀伤K562细胞。两种细胞均表达MICA/B和ULBP1～3基因。K562细胞高表达MICA/B和ULBP1～3分子,不表达HLA-Ⅰ类分子;ARH-77细胞低表达ULBP1～3分子,高表达HLA-Ⅰ类分子。ARH-77细胞HLA基因型为A2、3,B15、35,Cw3、4。阻断NKG2D配体,NK细胞对K562细胞的杀伤活性明显降低,对ARH-77细胞的杀伤活性无明显改变;阻断HLA-Ⅰ类分子后,NK细胞对K562细胞的杀伤活性无变化,对ARH-77细胞的杀伤活性明显提高。结论 ARH-77细胞对NK细胞的杀伤敏感性低,其机制与其高表达HLA-Ⅰ类分子、低表达NKG2D配体有关。     

Changing accessibility, dwelling price and the spatial distribution of socio-economic activities

In this paper we present an activities-location choice model with endogenous price which simulates, based on Expected Random Utility principle, the behaviour of several agents of the urban system (e.g. the workers distinguished by income, the firms by economic sector) to estimate the spatial distribution of socio-economic activities within the study area as well as the impact of differential changes in accessibility on the dwelling price. The study area for this research is the metropolitan area of Napoli (South Italy), for which we show the results of the model estimation and the results of a “backcasting” analysis.     

高温冷藏机组高压报警停机故障分析与排除

某船高温冷藏机组为YORK船用公司提供的2台SB042型制冷压缩机,文章结合该机组在运行中出现的机组排气压力高报警停机这一现象,通过理论分析,找出问题存在的原因,提出具体的解决方案,并在实际应用中得以验证其正确性。     

羟基锡酸锌包覆氢氧化镁

采用均匀沉淀法制取羟基锡酸锌,通过单因实验法考察了包覆质量比、包覆时间及包覆温度三个因素对ZnSn（OH）6包覆Mg（OH）2的包覆效果的影响,并且结合超声分散和共沸蒸馏制备了包覆效果较好的ZnSn（OH）6包覆Mg（OH）2.通过X射线衍射（XRD）、扫描电镜（SEM）、热重分析（DTA-TG）及能谱分析（EDX）等表征包覆产物,最终得出：ZnSn（OH）6包覆Mg（OH）2的最佳实验条件为：包覆质量比为20%;包覆反应时间为6 h;包覆反应温度为50℃.在此条件下制得的产物保持Mg（OH）2所呈现的形貌和热分解性能,不会影响其阻燃性能.     

影响某艇喷水推进器推进性能的若干因素

基于某艇的推进性能需求,以喷水推进器设计工况为分析对象,采用计算流体力学（Computational Fluid Dynamics,CFD）方法,建立计算模型,研究叶轮叶顶间隙、流道格栅密度、艇底水底间距、双泵轴间距等工程应用因素对推进性能的影响,可为某艇喷水推进器的设计、安装与使用等提供合理依据。     

带形城市轨道交通TOD模式研究

带形城市由于其特殊的自然地理环境,城市空间布局及发展受限,城市用地与交通之间的矛盾尖锐,市区交通拥堵问题严重,成为城市发展的瓶颈。为解决当前带形城市交通发展难题,应当在带形城市规划建设中引入以城市轨道交通引导的TOD发展模式,制定城市发展主轴,以城轨站点为中心开发周边土地,建设良好市区环境,有效拓展城市规模。城轨交通TOD模式能以自身优势破除城市交通发展难题,改善城市结构布局,为调整市区土地结构提供机遇,是带形城市轨道交通可持续发展的有效途径。以兰州市轨道交通2号线为例,结合TOD理论,提出规划意见和建议。     

Origin–destination synthesis for aviation network data: examining hub operations in the domestic and international US markets

Hub‐and‐spoke networking is a key feature of current aviation markets in which hubs, as connecting points, function to consolidate and redistribute flows. This indicates that observation of traffic on a segment does not necessarily convey information about the origin to destination routing of passenger journeys because of the unavoidable detours in the system. This paper examines the heterogeneity of the flow composition in domestic and international US markets, which in turn allows us to observe the variation of operations across major hubs. A modified Route Flow Estimator for origin–destination synthesis (or origin–destination matrix estimation) is designed to decompose the segment traffic into itinerary‐based passenger trips. Several public and commercial databases, which are easily accessible, are exploited (and reconciled) for the model in order to (i) generate possible trip itineraries using those segment markets, and (ii) link data‐driven operational conditions with the underlying segment flows. The results are validated with US domestic trip observations and empirical knowledge related to the air transportation system. Then, the variability of the hub operations is examined based on sensitivity tests using the model parameters. From the resolution of itinerary‐based estimates, we observe that major airports' hub operations are spatially uneven, particularly with respect to domestic and international connecting passengers. Copyright © 2017 John Wiley & Sons, Ltd.     

媒体网关在港口通信中的应用现状及前景

为适应发展需要，提高服务水平，港口通信网络在具备媒体网关的基础上引进软交换技术已成为一个趋势。介绍了综合接入媒体网关系统的功能及具体应用，媒体网关与软交换联接后对下一代港口通信网络发展的作用。     

Daily activity pattern recognition by using support vector machines with multiple classes

The focus of this paper is to learn the daily activity engagement patterns of travelers using Support Vector Machines (SVMs), a modeling approach that is widely used in Artificial intelligence and Machine Learning. It is postulated that an individual’s choice of activities depends not only on socio-demographic characteristics but also on previous activities of individual on the same day. In the paper, Markov Chain models are used to study the sequential choice of activities. The dependencies among activity type, activity sequence and socio-demographic data are captured by employing hidden Markov models. In order to learn model parameters, we use sequential multinomial logit models (MNL) and multiclass Support Vector Machines (K-SVM) with two different dependency structures. In the first dependency structure, it is assumed that type of activity at time ‘t’ depends on the last previous activity and socio-demographic data, whereas in the second structure we assume that activity selection at time ‘t’ depends on all of the individual’s previous activity types on the same day and socio-demographic characteristics. The models are applied to data drawn from a set of California households and a comparison of the accuracy of estimation of activity types and their sequence in the agenda, indicates the superiority of K-SVM models over MNL. Additionally, we show that accuracy in estimating activity patterns increases using different sets of explanatory variables or tuning parameters of the kernel function in K-SVM.