GLUTAMATE－IMMUNOREACTIVE NEURONS IN MEDULLARY RAPHE－CEREBELLUM PATHWAY IN THE KITTEN

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Development of railway station choice models to improve the representation of station catchments in rail demand models

ABSTRACT

This paper describes the development of railway station choice models suitable for defining probabilistic station catchments. These catchments can then be incorporated into the aggregate demand models typically used to forecast demand for new rail stations. Revealed preference passenger survey data obtained from the Welsh and Scottish Governments was used for model calibration. Techniques were developed to identify trip origins and destinations from incomplete address information and to automatically validate reported trips. A bespoke trip planner was used to derive mode-specific station access variables and train leg measures. The results from a number of multinomial logit and random parameter (mixed) logit models are presented and their predictive performance assessed. The models were found to have substantially superior predictive accuracy compared to the base model (which assumes the nearest station has a probability of one), indicating that their incorporation into passenger demand forecasting methods has the potential to significantly improve model predictive performance.     

Second best toll and capacity optimisation in networks: solution algorithm and policy implications

This paper looks at the first and second best jointly optimal toll and road capacity investment problems from both policy and technical oriented perspectives. On the technical side, the paper investigates the applicability of the constraint cutting algorithm for solving the second best problem under elastic demand which is formulated as a bilevel programming problem. The approach is shown to perform well despite several problems encountered by our previous work in Shepherd and Sumalee (Netw. Spat. Econ., 4(2): 161–179, 2004). The paper then applies the algorithm to a small sized network to investigate the policy implications of the first and second best cases. This policy analysis demonstrates that the joint first best structure is to invest in the most direct routes while reducing capacities elsewhere. Whilst unrealistic this acts as a useful benchmark. The results also show that certain second best policies can achieve a high proportion of the first best benefits while in general generating a revenue surplus. We also show that unless costs of capacity are known to be low then second best tolls will be affected and so should be analysed in conjunction with investments in the network.

Shipping and the Transfer of Technology†

This paper discusses and assesses the complex process of change that has occurred in East Europe over thc last five years, and attempts to relate these changes to the shipping sector. Conventional mathematical methods are discussed as inappropriate in analysing economic, social and political developments and the technique of conceptual modelling is used, borrowed from other disciplines including those of environmental appraisal and computer sciences. The main linkages are discussed with particular reference to the Polish shipping sector, with specific analysis of the legal, managerial, spatial, economic, political, social and organizational contexts. The dominant themes of change are drawn out in an attempt to predict the impact on the Polish shipping industry in general and the three main State companies–Polish Ocean Lines (Liner Shipping); Polish Steamship Company (Bulk/Tramp) and Polish Baltic Ferries– that dominate the market.     

描述有效的原料药

尽管癌症治疗在过去的十多年取得了显著进展，但肿瘤学仍属于目前最不能满足临床需要的学科领域。在过去十多年里，临床药理学的进步和研发活动方面的巨大投资使得“癌症治疗”发展为“治疗过程研究”的数量急剧增加。但事实上，癌症和其他慢性疾病一样，治疗效果都很差，由此很多大型医药公司和生物制药公司都比以往更大力度的投入资金，用于肿瘤学和其他强效候选药物的研发上。[第一段]     

应用Q-DAS CAMERA(R) Concept提升企业精益生产水平基于工业产品质量数据的绩效评价系统开发与运用

Q-DAS CAMERA(R) Concept持柔性和模块化应用,既可以应用于单个工作场所,也可为部门级、工厂级或区域级的综合系统提供解决方案.     

On the fundamental diagram and supply curves for congested urban networks

Macroscopic fundamental diagrams (MFD) of traffic for some networks have been shown to have similar shape to those for single links. They have erroneously been used to help estimate the level of travel in congested networks. We argue that supply curves, which track vehicles in their passage through congested networks, are needed for this purpose, and that they differ from the performance curves generated from MFD. We use a microsimulation model, DRACULA and two networks, one synthesizing the network for Cambridge, England, and one of the city of York, England, to explore the nature of performance curves and supply curves under differing patterns of demand.We show that supply curves differ from performance curves once the onset of congestion is reached, and that the incorrect use of performance curves to estimate demand can thus seriously underestimate traffic levels, the costs of congestion, and the value of congestion relief measures. We also show that network aggregated supply curves are sensitive to the temporal distribution of demand and, potentially, to the spatial distribution of demand. The shape of the supply curve also differs between origin–destination movements within a given network.We argue that supply curves for higher levels of demand cannot be observed in normal traffic conditions, and specify ways in which they can be determined from microsimulation and, potentially, by extrapolating observed data. We discuss the implications of these findings for conventional modelling of network management policies, and for these policies themselves.     

The challenge of liberalising domestic airline competition in a less developed country

A new wave of liberalisation of domestic airline competition is taking place in less developed nations, although the initial motivation in most cases is to supplement the capacity of the government's own airline. Liberalisation tends to begin with free market entry and a strong interest in privatisation while other regulatory controls are maintained. This position is untenable and policy makers in the less developed countries are having to learn quickly without the benefit of the detailed analyses that preceded liberalisation in the developed countries. This paper explores these problems and focuses on the lessons that policy makers in the less developed countries can draw from experiences elsewhere.     

Built environment impacts on walking for transport in Brisbane,Australia

This study examines the association between urban form and walking for transport in Brisbane, Australia based on both panel and cross-sectional data. Cross-sectional data are used to determine whether urban form was associated with walking for transport in 2011. Panel data are used to evaluate whether changes in the built environment altered walking behaviour between 2009 and 2011. Results from the cross-sectional data suggest that individuals are significantly more likely to be walkers if they live in an area with a well-connected street network and an accessible train station. The longitudinal analysis confirms these relationships; there also was however, a significant impact of travel attitudes and perceptions on walking behaviour. The findings suggest that the built environment continues to be an important factor to encourage walking; however, interventions are also required to change social norms in order to increase the receptiveness for and participation in walking.