秦岭马白山隧道新型紧急救援站结构型式研究北大核心CSCD

针对艰险山区高速铁路隧道的防灾救援难题,文章依托秦岭马白山隧道,提出了适合该隧道的新型紧急救援站结构型式,并利用FDS软件模拟隧道内纵向通风时列车着火后的烟气扩散,确定了规范中尚未给出的紧急救援站隔离区长度参数。结果表明:(1)秦岭马白山隧道新型紧急救援站结构型式应包括疏散区、隔离区以及待避救援区;(2)利用FDS数值模拟时,在不考虑纵向通风下,烟气沿下坡方向的扩散长度为295 m;考虑沿下坡方向通风时烟气最远扩散长度为980 m,建议隔离区长度设置为1000 m。     

A selection method of offshore production systems considering uncertainties

Journal of Marine Science and Technology - The development of an offshore deepwater oilfield is a complex and risky task. One core problem in this project is the selection of a production system...     

Determinants of airport retail revenue: a review of literature

ABSTRACT

As the airport retail industry continues to grow due to increasing travel demands, airport operators are increasingly developing their retail revenue potential to ensure financial viability. This study aims to provide a review of airport retail literature and identify the salient factors associated with passenger shopping behaviour. The paper presents a review of contemporary airport retail literature, covering a total of 50 studies from 1998 to 2018. The review identified 26 factors, which could broadly be grouped into five categories: airport/operator related; passengers' demographic related; passengers’ travel related; passengers’ psychological related and passengers’ resources related. In addition to providing a summary of the statistically significant factors across studies, the review identifies and discusses potential approaches for future research. These include the importance of considering both “to spend or not” decision and how much to spend and how most empirical studies focussed on the former; the gap in empirical analysis on the impact of airport terminal design layout on retail performance; and the gap in application of general consumer shopping behavioural models to airport retail problems. The paper concludes with the suggestion that we can build on the existing studies to develop a hybrid approach to solve several of the identified gaps simultaneously.     

An application of a rank ordered probit modeling approach to understanding level of interest in autonomous vehicles

Surveys of behavior could benefit from information about people’s relative ranking of choice alternatives. Rank ordered data are often collected in stated preference surveys where respondents are asked to rank hypothetical alternatives (rather than choose a single alternative) to better understand their relative preferences. Despite the widespread interest in collecting data on and modeling people’s preferences for choice alternatives, rank-ordered data are rarely collected in travel surveys and very little progress has been made in the ability to rigorously model such data and obtain reliable parameter estimates. This paper presents a rank ordered probit modeling approach that overcomes limitations associated with prior approaches in analyzing rank ordered data. The efficacy of the rank ordered probit modeling methodology is demonstrated through an application of the model to understand preferences for alternative configurations of autonomous vehicles (AV) using the 2015 Puget Sound Regional Travel Study survey data set. The methodology offers behaviorally intuitive model results with a variety of socio-economic and demographic characteristics, including age, gender, household income, education, employment and household structure, significantly influencing preference for alternative configurations of AV adoption, ownership, and shared usage. The ability to estimate rank ordered probit models offers a pathway for better utilizing rank ordered data to understand preferences and recognize that choices may not be absolute in many instances.     

Fine Mapping of a Deafness Mutation hml on Mouse Chromosome 10

Objective To map a mouse deafness gene.identify the underlying mutation and develop a mouse model for human deafncss.Methods Genetic lindage cross and genome scan wer used to map a novel mutation named hypoplasia of the membranous labyrinth (hml),which causes hearing loss in mutant mice.Results ① hml was mapped on mouse Chr 10 (～43 cM from the centromere) suggests that the homologous human gene is on 12q22--q24, which was defined on the basis of known mouse-human homologies (OMIM,2004). ② This study has generated 25 polymorphic microsateUite markers, placed 3 known human genes in the correct order in a high-resolution mouse map and narrowed the hml candidate gene region to a 500 kb area.     

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概括地回顾了一些关于离线(或脱机)交通信号灯优化设计的方法.其中包括用于在孤立交叉口的单点和区域性的联动控制系统.离线方法在设计时一般利用已有调查出来的交通数据作为固定的输入资料，这个跟实时设计方法所要求的从感应器即时检浏出来的情况作为设计依据是有本质上的区别.但一般沿用的信号配时设计方法都需要依靠已刻在行车线道上(允许通行)的方向指示标志为设计基础，但这个方向指示在确定后在整个优化过程中是维持不变的，这就限制了交通流量在线道上的分布，从而大大减低配时的灵活性，在这样情况下优化出来的结果肯定不会是最好的.直至近期，以行车线道为基本单位的配时设计方法(英文名称为Lane-based method;中文可称为线道法)发展起来.这个方法是由传统的Phase-based method(相位法)所演变出来的.线道法不但包含所有相位法的特点，而且更能为原本受约束的线道和配时设计进行全面优化.线道法可在单点交叉口和区域性的联动控制系统上应用.文末提出一些未来研究发展的新方向.     

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熵最大化方法被广泛应用于交通规划，为交通需求预测模型提供了理论依据.本文使用信息论中的熵概念描述居民出行分布，并根据最大信息熵理论提出了基于原点矩典型特征量约束条件下的出行分布模型，详细阐述了模型中各个参数的实际含义，该模型是一个普适性模型，其具体形式决定于最高阶原点矩阶数的取值，此值对模型精度及参数标定难易程度有重要影响.为确定模型参数，提出了实用的参数标定方法.由于模型中原点矩的最高阶数对模型精度有较大影响，为找到两者之间的关系，利用长春市出行调查数据研究了四种出行方式分别时应于五种原点矩最高阶数的模型拟合情况.因文中所建立的模型是一系列模型，为比较其描述问题的优劣差异，按照最大信息熵原理给出了确定系统分布的熵方法，并运用该方法对前述模型进行了比较.调查数据的验证结果表明，出行分布的信息熵模型可以正确地描述出行分布规律，熵方法可以简单有效地评价不同模型对同一问题描述的优劣差异.本文提出的熵模型和熵方法对城市交通规划具有指导意义.     

LEISHMANIA PROMASTIGOTES EVADE INTERLEUKIN 12 INDUCTION BY MACROPHAGES AND STIMULATE A BROAD RANGE OF CYTOKINES FROM CD_（4）~（＋

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TRANSCRIPTION ACTIVATION BY HBV PRE SI PROTEIN

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Structural Evaluation for Maputo Airport Pavement

Introduction Structural evaluation of pavements provides awealth of information that concerns the expected be-havior of pavements[1]. Different asphalt pavementdesign and evaluation methods are described inRefs.[2-9]. Refs.[2-5,9,10] use two design meth-o…