我国无水港通关模式评价研究

无水港是近年来迅速发展的、与港口具有同样功能的"内陆港"。介绍了国内4个无水港港群发展的现状和我国目前无水港的通关模式。分析了无水港通关模式的优势和社会效益。指出了需要进一步解决的问题。     

DYNAMIC LABELING BASED FPGA DELAY OPTIMIZATION ALGORITHM

IntroductionIn recentyears,many FPGA technology map-ping algorithms for performance optimization havebeen presented[1～ 3 ] .Among them,DAG- MAP is arepresentative algorithm[3 ] .This algorithm is pro-grammed into a package and it mainly consists ofthree parts:1 preprocessing procedures transforman arbitrary Boolean network into a two- inputnet-work;2 the DAG- MAP algorithm maps the two-input network into a K- LUT FPGA network withminimum delay;3 postprocessing procedures per-form ar…     

CONSTRUCTION OF HUMAN INTERLUEKIN-18 DNA VACCINE AND IT‘S EXPRESSION IN MAMMALIAN CELLS

Ｈｕｍａｎｉｎｔｅｒｌｅｕｋｉｎ 18(ｈＩＬ 18)ｉｓａｎｅｗｌｙｉｄｅｎ ｔｉｆｉｅｄｃｙｔｏｋｉｎｅｍａｉｎｌｙ ｐｒｏｄｕｃｅｄｂｙｍｏｎｏｃｙｔｅｓａｎｄｍａｃｒｏｐｈａｇｅｓ.ＴｈｅｃｙｔｏｋｉｎｅｃａｎｉｎｄｕｃｅＴｈ1ｃｅｌｌｓｔｏｓｅｃｒｅｔｅＩＦＮ γ ,ＩＬ 2ａｎｄＧＭ ＣＳＦ .Ｉｔｅｎｈａｎｃｅｓｔｈｅｃｙ ｔｏｔｏｘｉｔｙｏｆＮＫａｎｄＣＴＬｃｅｌｌ,ａｎｄａｌｓｏｒｅｄｕｃｅｓｔｈｅｌｅｖ ｅｌｏｆＩＬ 10 .Ｔｈｕｓ,ｔｈｅｒｅｉｓｐｏｔｅｎｔｉａｌｔｈｅｒａｐｅｕｔｉｃｖａｌｕｅｏｆ…     

油田流动污水介质中溶解氧对A3钢腐蚀行为的影响

通过腐蚀管流动态模拟装置,模拟现场工艺条件,研究了暴氧和除氧条件下,油田流动污水介质中A3钢的腐蚀行为。用失重法和交流阻抗、极化曲线方法,揭示了A3钢在油田污水介质中腐蚀的电化学规律。结果表明:A3钢在油田污水介质中的腐蚀受阴极氧的去极化控制,流动过程和溶解氧共同作用,极大地加速了油田污水介质对A3钢的腐蚀性。     

随机需求IRPTW的多目标优化

针对随机需求下带时间窗的存贮路径问题,建立了多目标库存和配送策略优化模型,用多目标遗传算法对模型求解．该算法采用精华保留策略和自适应调整策略等遗传算子逼近全局最优解,可以克服遗传算法局部搜索能力不足的缺陷,提高收敛速度和改善全局寻优性能．以某物流公司的产品配送系统为例,用多目标遗传算法获得了费用较低的方案．     

提案-验证通用推理及在铁路选线中的应用

为开发可直接利用软件工程中事实知识并能在智能铁路选线系统中重用的推理机,提出并实现了提案-验证通用推理模型．用面向对象技术表示知识,使用规则层次模型,把知识表示为事实知识、约束知识、启发知识、策略知识和目标验证知识;采用双层形式化模型,把知识可阅读和可执行形式联系起来;把问题求解知识表示为推理控制知识,用目标验证知识描述任务目标,实现推理机与控制策略分离．推理基于数据驱动方式,利用反射技术实现动态模式匹配和规则执行;用分类组织知识和按领域特征排列知识对象的冲突消解机制,使推理有序进行．提出的方法已成功应用于新建铁路的线路平面自动生成．     

Forecasting ridership for a metropolitan transit authority

The recent volatility in gasoline prices and the economic downturn have made the management of public transportation systems particularly challenging. Accurate forecasts of ridership are necessary for the planning and operation of transit services. In this paper, monthly ridership of the Metropolitan Tulsa Transit Authority is analyzed to identify the relevant factors that influence transit use. Alternative forecasting models are also developed and evaluated based on these factors—using regression analysis (with autoregressive error correction), neural networks, and ARIMA models—to predict transit ridership. It is found that a simple combination of these forecasting methodologies yields greater forecast accuracy than the individual models separately. Finally, a scenario analysis is conducted to assess the impact of transit policies on long-term ridership.     

Constrained nested logit model: formulation and estimation

A model of traveller behaviour should recognise the exogenous and endogenous factors that limit the choice set of users. These factors impose constraints on the decision maker, which constraints may be considered implicitly, as soft constraints imposing thresholds on the perception of changes in attribute values, or explicitly as hard constraints. The purpose of this paper is twofold: (1) To present a constrained nested logit-type choice model to cope with hard constraints. This model is derived from the entropy-maximizing framework. (2) To describe a general framework to deal with (dynamic) non-linear utilities. This approach is based on Reproducing Kernel Hilbert Spaces. The resulting model allows the dynamic aspect and the constraints on the choice process to be represented simultaneously. A novel estimation procedure is introduced in which the utilities are viewed as the parameters of the proposed model instead of attribute weights as in the classical linear models. A discussion on over-specification of the proposed model is presented. This model is applied to a synthetic test problem and to a railway service choice problem in which users choose a service depending on the timetable, ticket price, travel time and seat availability (which imposes capacity constraints). Results show (1) the relevance of incorporating constraints into the choice models, (2) that the constrained models appear to be a better fit than the counterpart unconstrained choice models; and (3) the viability of the approach, in a real case study of railway services on the Madrid–Seville corridor (Spain).     

Epilogue: the new frontiers of behavioral research on the interrelationships between ICT,activities, time use and mobility

This special issue is a product of the international symposium on “ICT, Activities, Time Use and Travel” that was hosted by Nanjing University from 16 to 18 July 2016. The symposium brought together leading scholars from all over the world to congregate with Chinese scholars and students and to share and discuss the research frontiers at this nexus. It was motivated by a recognition of the changing goals and scope of Information and Communications Technology (ICT) research in conjunction with the development of new ICTs and the emergence of new ICT-enabled behaviors. Consequently, the symposium and later this special issue have drawn together significant scholarly contributions that provide new behavioral insights as well as new theoretical and methodological advances. The symposium culminated in three roundtable panel discussions addressing the following cross-cutting themes: (1) time use while travelling (led by Glenn Lyons); (2) ICT and travel behavior (led by Pat Mokhtarian); and (3) Big Data, activities and urban space (led by Eran Ben-Elia). In this epilogue to the special issue we offer a distillation of these discussions.     

The taxi industry: working conditions and health of drivers,a literature review

The taxi industry plays an important role in urban transportation systems, both in economic and mobility terms. In the case of the former, it provides employment for a large number of people and circulates significant amounts of money. In the case of the latter, it is a flexible means of transportation capable of arriving at any destination. Although the way the taxi industry is organised varies across countries and even within countries, some factors are shared at varying latitudes of the globe. Working conditions, habits, health, and exposure to road crashes have been a subject of interest for researchers from various disciplines, including medicine, psychology, and economics. However, much of this research focuses on a part of the problem and is not mutually referential. A review of the literature may be useful not only to researchers of diverse disciplines but also to industry representatives and those public officials responsible for transportation, road safety and health policy. This article provides a comprehensive review of the working conditions of taxi drivers, their relationship to road risk exposure and their consequences on the health of workers. It also includes information on coping strategies and protective behaviors. The review is based on a Scopus database search. The search covered the period from 1990 to 2015. This initial search was complemented with other database searches, which yielded some additional studies. Our goal was to summarise existing knowledge, identify possible lines of research and suggest some practical recommendations. It would be important (a) to reduce the workload, establish adequate time for breaks, and provide access to healthcare, (b) to implement actions to promote and maintain healthy habits, (c) to diagnose, detect and treat indicators of occupational fatigue and stress, and (d) to develop programs that make it possible to evaluate work concerns and broaden coping strategies to foster positive changes.