四川省高新区发展现状与对策研究

作为落实科技创新政策、发展高新技术产业的重要平台，高新区的高质量发展对于区域创新驱动发展和产业转型升级具有重要意义。通过对四川省高新区相关数据的统计分析，从多个维度分析了其发展现状，并从创新能力、发展质量、开放水平、可持续能力等方面总结了其存在的问题，提出了推进四川省高新区高质量发展的对策建议。     

创业投资企业优惠政策的思考

本公司位于高新技术产业开发区,是一家具有一般纳税人资格的生产销售企业,由公司出资设立一家创业投资企业,公司100%控股;收购公司持有的GN公司30%和JX公司31.82%的股份,而GN公司为高新技术企业且未上市;有效的运用我国执行的创业投资企业税收优惠政策:创业投资公司投资于未上市中小高新技术企业2年以上(含2年),可按其对中小高新技术企业投资额的70%抵扣该创业投资企业的应纳税所得额;符合条件的居民企业之间的股息、红利等权益性投资收益为免税收入;可以增加公司的税后收益。取得降低公司整体税负的效果。     

混凝土简易温控措施在公路施工中的实践与应用

本文以摩洛哥塔乌高速公路项目混凝土施工为例,对夏季高温季节混凝土施工采取了简易降温措施,并提供出混凝土温度预测公式。     

高星级酒店创建职业化团队的必要性及途径

在外资知名酒店集团的强大优势面前,我国高星级酒店在竞争中一直处于弱势地位,如何在发展过程中创建一支有职业化的工作技能、职业化的工作形象、职业化的工作态度、职业化的工作道德的职业化团队以便在蓬勃发展的经济形势下充分利用市场提供的机会、合理地规避风险,并争取在行业竞争中取得竞争优势是大多数酒店的当务之急。     

特细砂配制高流动性泵送C55预应力混凝土应用

本文通过试验分析特细砂粒径,不同材质的特细砂的基本物理材性,采用现代混凝土配合比设计理念,研究了特细砂混凝土配合比的设计原则。通过分析砂率含量、用水量、高效外加剂对特细砂高性能混凝土在工作性和力学性能上的影响,确定砂率含量的范围;通过对特细河砂和天然特细山砂混凝土性能的对比试验,结果表明细砂完全可以替代天然中粗砂配制高性能高强度、高流动性泵送混凝土。     

构建与普及理性低碳生活方式——人类文明社会演进的应然逻辑

人类的生活方式是与其社会的文明状态相适应的。原始文明社会中人类的生活方式是“朴素无碳”的，农业文明社会中人类的生活方式是“适应性低碳”的，工业文明社会中人类的生活方式是“发展性高碳”的，而生态文明社会中人类的生活方式应是“理性低碳”的。理性低碳生活方式是人类可持续发展的自我选择，是要在提高生活水平和质量的进程中实现低碳化，是生活方式的革命性发展。构建和普及理性低碳生活方式，需要树立和强化低碳生活理念，实现衣食住行等多方面的低碳化改造；需要全人类的共同努力，各个国家和地区应根据实际情况选择和普及各具特色的理性低碳生活方式；需要各生活主体的协同配合，政府、企业与居民等要全方位地、积极地、广泛地践行理性低碳生活方式。     

The High‐Rise Home: Verticality as Practice in London

This article investigates the relationship between verticality and home. It develops the idea of ‘verticality as practice'. This appreciates verticality not as something that takes place in three‐dimensional landscapes, but as the outcome of everyday practical activity. Examining a modernist high‐rise estate, the Aylesbury Estate in London, the article identifies and examines a range of vertical practices, illustrating how they are intertwined with home. Vertical practices, such as those associated with the view, help to make a unique and special home, becoming intensely meaningful to residents. However, they also unmake dimensions of home when they interact with the estate's marginality.     

A HPC based cloud model for real-time energy optimisation

Recent research has emphasised that an increasing number of enterprises need computation environments for executing HPC (High Performance Computing) applications. Rather than paying the cost of ownership and possess physical, fixed capacity clusters, enterprises can reserve or rent resources for undertaking the required tasks. With the emergence of new computation paradigms such as cloud computing it has become possible to solve a wider range of problems due to their capability to handle and process massive amounts of data. On the other hand, given the pressing regulatory requirement to reduce the carbon footprint of our built environment, significant researching efforts have been recently directed towards simulation-based building energy optimisation with the overall objective of reducing energy consumption. Energy optimisation in buildings represents a class of problems that requires significant computation resources and generally is a time consuming process especially when undertaken with building simulation software, such as EnergyPlus. In this paper we present how a HPC based cloud model can be efficiently used for running and deploying EnergyPlus simulation-based optimisation in order to fulfil a number of objectives related to energy consumption. We describe and evaluate the establishment of such an application-based environment, and consider a cost perspective to determine the efficiency over several cases we explore. This study identifies the following contributions: (i) a comprehensive examination of issues relevant to the HPC community, including performance, cost, user perspectives and range of user activities, (ii) a comparison of two different execution environments such as HTCondor and CometCloud and determine their effectiveness in supporting simulation-based optimisation and (iii) a detailed performance analysis to locate the limiting factors of these execution environments.     

Kernel-type estimators for the distortion risk premiums of heavy-tailed distributions

A new kernel-type estimator for the distortion risk premiums of heavy-tailed losses is introduced. Using a least-squares approach, a bias-reduced version of this estimator is proposed. Under suitable assumptions, the asymptotic normality of the given estimators is established. A small simulation study, to illustrate the performance of our method, is carried out.     

Work and social well-being: the impact of employment conditions on quality of life

This paper aims to extend our understanding of the impact of management practises and employment conditions in the contemporary workplace on the broader social realm. The study provides an analytic account of how these employment conditions impact on the social well-being of a representative sample of individuals and households. We assess the propensity of working arrangements that are manifested in various high performance work systems either to enhance or to diminish quality of life. The paper indicates that certain management practises and employment conditions have impacts that extend beyond the workplace and influence the broader well-being of individuals and families.