表面处理剂对CuInS2纳米晶体分散性的影响

选用表面活性剂聚乙烯醇缩丁醛（PVB）和聚乙烯吡咯烷酮（PVP）,以及偶联剂KH550、KH570等表面处理剂,来研究体系中添加表面处理剂对溶剂热法合成的CuInS2纳米晶体分散性的影响.利用X-射线粉末衍射仪、EDS能谱、扫描电镜（SEM）和紫外-可见近红外分光光度计对纳米晶体的结构、原子配比、形貌和光吸收性能等进行表征.结果表明：体系中添加少量（总质量的0.1%）表面处理剂制备的CuInS2纳米晶体团聚现象能得到有效改善,其中偶联剂KH570和表面活性剂PVP改性效果佳.     

Situation analysis forecasting: the case of European maritime clusters

Within the literature concerned with aspects of competitiveness, innovation and strategic management of industrial clusters, the body regarding forecasting of strategic management is still nascent. This work aspires to render a contribution within the domain of strategic management forecasting, through the indicative case of European maritime clusters. For this end, a two-tier model is formulated. A quantitative strengths, weaknesses, opportunities, and threats (SWOT) methodology that derives from the fusion of a quondam situation analysis and crosstabs’ theory is generated. This leads to the utilization of the crosstab’s conditional probabilities as transition probabilities; the latter are called to compile the transition matrix of a Markov chain. Through this methodology, and the successive Markov chain’s transition matrices, strategic forecasts are extracted for a devised European maritime cluster case. This work relinquishes a novel application with respect to strategic management forecasting, that provides a dichotomy of practical interpretations and scenarios for quantitative situation analysis. Thus, it may enable effective real-time decision-making for strategic management and/or policy drafting. The situation analysis forecasting model may find applicability in a plethora of practical and theoretical cases, wherein forecasting may be desirable. It may as well pertain to an intrinsic methodology for situation analysis forecasting of maritime clusters.     

Strategic intent: Guiding port authorities to their new world?

Following the financial tsunami many organisations are facing greater risks to their sustainability. Strategic collaborations in logistics networks, of which ports are a significant node, reduce risks for all organisations in the network, increase an organisation's ability to access efficiencies such as economies of scale and create opportunities for learning. The knowledge learnt from collaborators is enhanced by managing the key relationships and forming a strategic intent to learn for mutual benefit. Mutual benefits may include market information or innovation. As Awad and Ghaziri (2004, p. 17) comment ‘Beyond efficiency and productivity, the real benefit of collaboration is innovation.’ The more central the port authority is in this network, the greater are the opportunities for learning. Three key factors are critical for port authorities to integrate knowledge from networks; firstly, there are levels of common knowledge that enable effective communication, including concepts, behavioural norms, language and experience. Secondly integrative efficiency requires organisational routines which foster knowledge sharing through frequent, coordinated activities that are repetitive. Thirdly efficient structures within the port authority help maintain effective and efficient communication to minimise the knowledge loss on integration. Strategising provides opportunities for port authorities to steer the critical path between maintaining their current sources of competitive advantage and developing future resilience through innovation opportunities provided by learning from their trading networks. Port authorities, by developing skills in reading the collective mind and interpreting information available in trading networks, can foster resilience into the future. Given the current risky prognosis for the short-medium term following the financial tsunami, instigating strategies that may lessen those risks may be an option for port authorities.     

An agent-based approach to modelling driver route choice behaviour under the influence of real-time information

This paper presents an agent-based approach to modelling individual driver behaviour under the influence of real-time traffic information. The driver behaviour models developed in this study are based on a behavioural survey of drivers which was conducted on a congested commuting corridor in Brisbane, Australia. Commuters’ responses to travel information were analysed and a number of discrete choice models were developed to determine the factors influencing drivers’ behaviour and their propensity to change route and adjust travel patterns. Based on the results obtained from the behavioural survey, the agent behaviour parameters which define driver characteristics, knowledge and preferences were identified and their values determined. A case study implementing a simple agent-based route choice decision model within a microscopic traffic simulation tool is also presented. Driver-vehicle units (DVUs) were modelled as autonomous software components that can each be assigned a set of goals to achieve and a database of knowledge comprising certain beliefs, intentions and preferences concerning the driving task. Each DVU provided route choice decision-making capabilities, based on perception of its environment, that were similar to the described intentions of the driver it represented. The case study clearly demonstrated the feasibility of the approach and the potential to develop more complex driver behavioural dynamics based on the belief–desire–intention agent architecture.     

Strategic considerations behind the network–regional airline tie ups – A theoretical and empirical study

The paper examines the strategic vertical relationship between network and regional airlines. We develop a model to illustrate how network airlines can use the contractual relationship with regional airlines as an efficient tool to simultaneously drive out inefficient network airlines and also accommodate other cost efficient network airlines in any specific market. The model is tested on U.S. data using simultaneous and sequential choice models. We find that market size, cost differences between network airlines, as well as cost differences between network and regional airlines, are the chief determinants of the network airlines’ decisions on whether or not to serve a market with their own fleet, as well as how many regional airlines to contract with.     

船用中压细水雾灭火系统的总体设计

作为国际火灾科学前沿的研究热点之一,细水雾灭火技术以其高效、环保的特点,已经成为最具有发展潜力的哈龙替代技术。本文根据船舶的实际情况及船用细水雾灭火系统的技术要求,提出了船用泵－罐联用式中压细水雾灭火系统的总体设计方案,以实现对船舶的消防保护。     

Strategic alliances in container liner shipping

The economic crisis in the years between 2008 and 2010 has demonstrated the necessity for substantial adjustments on behalf of container lines. Capacities were shifted quickly to emerging and less affected markets allowing a faster recovery of globally organized companies. This paper illustrates the dynamics in the container shipping market. Alongside the main characteristics of the Top 20 ocean shipping companies, liner services are described. These services are classified by geographic coverage and vessel deployment. In addition, this paper provides a better understanding of the collaboration among service providers. Starting from a general framework of co-operative liner services, in-depth analyses of the global alliances in liner shipping are obtained. These formations - Grand Alliance, New World Alliance and CKYH Alliance - are compared with alternative forms of collaboration in the liner shipping industry. The analysis of alliance announcements which are related to operational and strategic changes indicates that the “global alliances” cannot be regarded as closed corporate-like entities. In effect, service agreements are not only negotiated with the focal members of the specific alliance. Instead, every service is arranged individually and under specific conditions. By understanding the dynamics within alliances, we are able to develop an assessment relating to the stability of collaborations. Ultimately, these insights direct us to several paths for future research.     

热再生施工过程中的质量控制

热再生施工在国内还处于起步阶段,有许多问题急待解决,以丹大高速公路现场热再生施工为基础,对影响现场热再生施工质量的几个关健因素（加热温度、铣刨厚度、再生剂及新沥青混合料的添加、起终点的摊铺和碾压等）进行探讨,提出相关质量参数的控制值。     

基于车均延误最小的Q学习交通信号控制方法

为了检测Q学习算法在信号控制方案中的效果,在Webster配时法的基础上,建立了适应交通信号控制及以车均延误最小为目标的奖惩函数,并详细说明了Q学习独立交叉口信号控制的原理和应用过程.通过流量波动大和小两个算例,验证了Q学习控制优于定时控制.     

航海教育战略高度问题的探讨

从战略高度重视航海教育已是时代所必须。航海教育的战略高度,一是海洋强国建设,二是弘扬海洋文明,三是推进海洋资源可持续的开发利用。发展航海教育,必须有其战略高度上的考量,也必须有其策略性的步骤。有战略高度的航海教育,才会有更好的发展策略,进而实现更好的现实发展。