滨海新区生态绿地网络研究

一、城市生态绿地网络的概念和作用（一）概念 城市生态绿地网络是指充分利用地形、地貌特征和自然植物,根据国家规范和城市自身条件所确定的标准．以现有的各级各类园林绿地为基础．科学地规划成完整的、合理的网络结构。     

医学生医德教育的困境及对策

医德是保证社会医疗卫生事业健康发展的一个重要因素,而关于医德方面的教育也是医学教育中的重要组成部分之一。可以说,医德教育的好坏直接关系到社会医德风尚,但是从目前的形势上来看,在我国现行的医学生医德教育中实际上是存在着许多问题的,医德教育很多时候都是在困境中前行的。因此在本文中作者在对医德教育其重要意义进行了阐释的基础上就医学生医学教育中存在的诸多问题进行了剖析,并就这些问题提出了相应的解决方案和应对策略,旨在以此为提高医学生医德教育的质量提供一定的参照和指导。     

社会结构变迁与国家治理体系现代化

社会结构是不同社会力量的配置方式。国家治理现代化就是政党、国家、市场、社会不同要素功能的科学定位及其相互关系的均衡状态。考察我国社会结构变迁所经历的传统社会时期、社会主义革命时期、社会主义建设时期、改革开放时期不同阶段,能够发现社会结构变迁与国家治理体系演进逻辑的关系。要推进我国国家治理体系的现代化,必须保证政党、国家、市场、社会不同要素的结构合理化,注重多元主体的力量均衡与制约并构建协商共治体系。     

基于强化区间线性规划的工程项目模糊多目标均衡优化

文章考虑工程项目实施过程中的不确定因素,建立工期、成本、质量模糊均衡优化(FTCQP)模型;运用分解定理、强化区间线性规划(EILP)方法,求出各目标的最优值区间;进一步引入模糊偏好关系,运用模糊折衷规划法,得到FTCQP模型的最优模糊折衷解.最后通过案例分析验证了方法的合理性、有效性和可操作性.     

基于中国股票高频交易数据的随机波动建模与应用

本文对近十五年多达17万笔高频交易数据研究发现,早晨9:30股市开盘期间收益回报显著为负值,而在下午3:00收盘前的5分钟集合竞价阶段的收益回报显著为正值,称这种现象为“首尾5分钟现象”.并且日内收益数据具有较为显著的季节效应或周期效应,本文首次提出利用具有季节效应的SVJt-s模型对上证综合指数的5分钟高频交易数据进行建模,并给出模型的两步估计方法.由于高频随机波动建模时的数据量巨大、计算负荷严重,模型的估计、评价以及预测评价方法都需进行相应的改进,本文主要通过APF方法计算边际似然和BF进行模型比较,并从模型的预测能力发现本文给出的具有季节效应的SVJt-s模型,优于通常的GARCH模型和基本随机波动模型,最后给出了模型在风险管理中的应用.     

我国高校扩招后办学效率和生产率的变化

高校扩招时期我国高等教育的快速发展是否属于“粗放型”？高校办学规模减速后是否逐步走上了内涵式发展道路？本文以教育部直属高校为分析对象,采用DEA-Malmquist指数分析并回答这两个问题.研究发现,高校扩招至2006年之前,教育部直属高校的快速发展属于有质量的增长,这一时期全要素生产率的大幅提升与技术进步和技术效率改善都有关系,但技术进步的贡献更大.2006年之后,由于技术进步的促进作用逐步消失,以及追赶效应的“自然衰老”,生产率的增长出现明显的放缓.但是,如果考虑有质量的产出,2006年后技术效率的下降幅度并不明显,这在一定程度上验证了内涵式发展目标的成效.     

中泰外商直接投资实证研究——以泰国金融结构金融效率为分析对象

在"一带一路"倡议的推动下,泰国作为东盟第三大经济体,以其优越的地理优势和战略地位吸引了不少中国投资者进入泰国投资,而其金融结构与金融效率对中国直接投资有着重大影响.文章通过对金融结构、金融效率及中国在泰国直接投资的分析发现,尽管泰国通货膨胀率、泰国工业生产指数对中国在泰国直接投资没有显著影响,但泰国居民消费指数、泰国商业银行存贷比率、泰国生产价格指数、泰国失业率对中国在泰国直接投资会产生负向影响,而中国与泰国之间的进出口额对中国在泰国直接投资可以产生正向影响.因此,鼓励中国投资者向泰国投资,加大两国贸易合作以及开展两国文化交流,是促进中国和泰国经济进一步发展的有效措施,也是实现互助互利,合作共赢的"一带一路"经济合作目标的有效方法.     

A balancing act in urban social-ecology: human appreciation,ponds and dragonflies

Green spaces in cities provide cultural ecosystems services (CES) such as nature connection, wildlife interaction and aesthetic appreciation which can improve aspects of human well-being. Recognising these benefits, researchers are now examining the complex relationship between humans and nature in urban social-ecology. Most studies investigate people’s appreciation and valuation of different green space features and their contribution to urban biodiversity. Recommendations arising from such studies are best practices to achieve a balance between landscape aesthetic and ecological objectives, but many knowledge gaps still exist. In a social-ecological project in Greater London, appreciation of ponds and dragonflies in urban green spaces, and the environmental factors determining dragonfly diversity were investigated. We found ponds and their appearance were valued by people as enhancing their green space experience. The preference for wild-looking ponds was moderate. Dragonflies were enjoyed for their colour and high visibility, especially by those who had basic dragonfly knowledge. Species richness of dragonflies was positively associated with habitat heterogeneity in and around a pond. However, people were unable to relate a heterogeneous pond to more dragonfly species. For the first time, some factors that influence the human appreciation-ponds-dragonflies (HPD) relationship in an urban context are revealed. To fully realise the CES potential of ponds and dragonflies in Greater London, a HPD framework is proposed. The framework underpins strategies that foster cultural sustainability for ponds and dragonfly conservation.     

The expected and unexpected media effects on youth’s (mis)perceptions of peer norms: Chinese college students’ overestimation of peer smoking prevalence

Youth’s perceptions of peer norms have profound effects on their attitudes and behaviors. Unfortunately, their perceptions of peers tend to be biased. To investigate the role of media in the formation of misperceived peer norms, the current study tested and compared two media-effect mechanisms: the direct exemplar mechanism and the indirect influence of presumed influence (IPI) mechanism. The two mechanisms were tested in a sample (n = 1746) that is representative of college students in one large university in China, based on which the actual and perceived campus smoking rates were examined. The individual-level perceived peer smoking prevalence was then analyzed in comparison with the campus-level actual smoking prevalence. The results revealed serious overestimations of peer smoking prevalence. As predicted, pro-smoking media content significantly heightened smoking prevalence estimates through both exemplar and IPI mechanisms. In contrast, anti-smoking messages did not elicit any intended effect through the IPI mechanism, but showed a boomerang effect through the exemplar mechanism. These findings suggest that both pro- and anti-smoking media content may be responsible for inflated perceptions of peer smoking among youth.     

Functional analysis of high-content high-throughput imaging data

High-content automated imaging platforms allow the multiplexing of several targets simultaneously to generate multi-parametric single-cell data sets over extended periods of time. Typically, standard simple measures such as mean value of all cells at every time point are calculated to summarize the temporal process, resulting in loss of time dynamics of the single cells. Multiple experiments are performed but observation time points are not necessarily identical, leading to difficulties when integrating summary measures from different experiments. We used functional data analysis to analyze continuous curve data, where the temporal process of a response variable for each single cell can be described using a smooth curve. This allows analyses to be performed on continuous functions, rather than on original discrete data points. Functional regression models were applied to determine common temporal characteristics of a set of single cell curves and random effects were employed in the models to explain variation between experiments. The aim of the multiplexing approach is to simultaneously analyze the effect of a large number of compounds in comparison to control to discriminate between their mode of action. Functional principal component analysis based on T-statistic curves for pairwise comparison to control was used to study time-dependent compound effects.