《三国演义》在明清时期的传播对民族精神的影响研究

《三国演义》是我国"四大古典小说之一,其在明清时期的广泛传播对中华民族精神产生了不可或缺的深远影响:树立了集"忠义"和"神勇"于一身的崇拜偶像—关羽,提升了民族笃信好义精神,提高了民族凝聚力,增强了民族忧患意识。     

荷兰战后移民及其影响

战后非殖民化运动导致印度尼西亚和苏里南大量人口移居荷兰;20世纪50年代中期开始到70年代初,荷兰从地中海沿岸国家输入大量劳工,随后劳工移民带来大量家庭移民;80年代中期以后,难民以及寻求庇护者纷纷进入荷兰,成为荷兰移民的重要部分。随着类型多样、来源广泛的移民不断进入,荷兰的人口结构发生重大改变,大量外来移民的存在,尤其大量穆斯林人口的存在,成为荷兰社会面临的重要问题。     

论散文创作与图像艺术的审美互生——以西部散文为例

图像艺术与话语文本的结合是文学创作中的一个重要命题。随着当代视觉艺术的发展,文学创作的视觉化趋势更加明显,并体现在图像艺术与文学话语的结构组合与意蕴融合中。文心画意是散文家自觉的审美追求,影响着散文的叙事、写景与抒情。西部散文中就有许多图文并茂的作品集,成为散文创作与图像艺术审美互生的艺术表征。     

鲁迅对台静农的影响

台静农是二十世纪二十年代享有盛名的乡土作家。其乡土小说中展现了为人生的文学观、以场景展示为主的叙事技巧、对故乡乡土民俗风情的生动描写,具有独特的悲剧色彩,这些都深受鲁迅先生影响。台静农是深受鲁迅影响同时又有着自己鲜明特色的地之子。     

A log-Birnbaum–Saunders regression model with asymmetric errors

This paper introduces a skewed log-Birnbaum–Saunders regression model based on the skewed sinh-normal distribution proposed by Leiva et al. [A skewed sinh-normal distribution and its properties and application to air pollution, Comm. Statist. Theory Methods 39 (2010), pp. 426–443]. Some influence methods, such as the local influence and generalized leverage, are presented. Additionally, we derived the normal curvatures of local influence under some perturbation schemes. An empirical application to a real data set is presented in order to illustrate the usefulness of the proposed model.     

穆旦与奥登：历史追问与现实反思——兼与江弱水先生商榷

江弱水在《外国文学评论》上发表的《伪奥登风与非中国性：重估穆旦》指出穆旦诗歌是对奥登诗歌的移译，而非中国性这一特征造成了穆旦诗歌的失败。而文本从选择奥登的原因、伪奥登风的消解、穆旦诗歌中的“非中国性”追问、传统与现代的反思等四个方面探讨和重新考察穆旦诗歌与奥登的关联，进而认为穆旦诗歌的特质与奥登并非密切相关。     

动态视角下中国城市群土地利用TFP测度及影响因素研究

提高城市群土地利用TFP对合理高效利用土地资源,协调好城市群经济发展、资源配置和环境保护具有重大理论和实践意义.文章运用DEA-Malmquist指数对2003—2016年动态视角下中国城市群土地利用TFP进行测度和时空演变分析,并利用Tobit回归模型对影响城市群土地利用TFP变化的因素进行深入研究.结果表明:从时间维度看,城市群土地利用TFP年均上升0.7％,城市群土地利用TFP增长由技术效率和技术进步"双核驱动",技术效率的提升主要与纯技术效率提升有关,规模效率是技术效率和土地利用TFP提升的瓶颈约束;从空间维度看,晋中、哈长、海峡西岸、中原、长江中游、北部湾、成渝、黔中、关中平原和兰西城市群土地利用TFP呈下降趋势,其余城市群土地利用TFP均呈上升趋势,且京津冀、呼包鄂榆、辽中南、长江三角洲、山东半岛和天山北坡城市群土地利用TFP增长为技术进步和技术效率"双核驱动";从影响因素看,人均GDP和年末金融机构人民币各项贷款余额对中国城市群土地利用TFP具有正向促进作用,城市财政支出占本市GDP的比重和人口密度具有负向阻碍作用.     

历史人物伦理思想的指认依据--以梁漱溟为例

堪称伦理思想者，当有指认依据在。以梁漱溟为例，提出伦理思想的三个指认依据：一是基本稳定的形上基础；二是相对系统的伦理主张；三是较为广泛的实际影响。只有坚持论从史出，我们才有可能靠近历史人物伦理思想的历史真实和价值真实。     

Estimation and diagnostic analysis in skew-generalized-normal regression models

The skew-generalized-normal distribution [Arellano-Valle, RB, Gómez, HW, Quintana, FA. A new class of skew-normal distributions. Comm Statist Theory Methods 2004;33(7):1465–1480] is a class of asymmetric normal distributions, which contains the normal and skew-normal distributions as special cases. The main virtues of this distribution is that it is easy to simulate from and it also supplies a genuine expectation–maximization (EM) algorithm for maximum likelihood estimation. In this paper, we extend the EM algorithm for linear regression models assuming skew-generalized-normal random errors and we develop a diagnostics analyses via local influence and generalized leverage, following Zhu and Lee's approach. This is because Cook's well-known approach would be more complicated to use to obtain measures of local influence. Finally, results obtained for a real data set are reported, illustrating the usefulness of the proposed method.     

Crowdfunding digital platforms: Backer networks and their impact on project outcomes

Crowdfunding platforms serve to connect project creators and backers. Previous research has explored several project and platform determinants that impact crowdfunding outcomes. However, there has been limited research on these determinants at an individual level. Our paper addresses how backers may influence the outcomes of projects in crowdfunding platforms. We explore several methods commonly used in the industry to identify influence and show that centrality measures through a backer affiliation network best exemplifies influence. Using data from Kickstarter, we construct a weighted backer network based on 52,678 common projects backed by 11,134 backers. Controlling for digital media mentions and project quality, we find evidence that backers in central positions within the network have a positive impact on multiple project outcomes such as the project success rates, amount of funds raised, speed of reaching the crowdfunding goal as well as the number of backers contributing to the project. These findings are replicated and reinforced by using data from a different crowdfunding platform using the entire backer network based on 1095 projects backed by 87,896 backers. Several robustness tests are used to validate these results.