旅游场:旅游体验研究的新视角

在引述国内外学者对于场、心理场和旅游场研究的基础上尝试构建了一种新的旅游场范畴。认为旅游体验的实质是"场"的交互,与旅游体验相关的场包括:主生活场、客生活场、期望场、情境场和旅游场。在此基础上,对旅游体验过程进行了描述。最后,基于新的旅游场范畴提出了提高旅游体验质量的几点措施。

Should a Rational Person With Risk-Averse Attitude Gamble？ A Case Study of Mark Six in Hong Kong

Contrary to the conventional wisdom which suggests that a perfectly rational subject with risk-averse attitude should never gamble, this paper provides a vivid example in our real economy for people to expect a positive return to gamble Within the existing literature, scholars have proposed different reasons to explain why an original risk-averse person would start to gamble, with the implicit assumption that the expected payoff of a bet is always lower than its cost. In contrast, our paper discusses when and why a risk-averse person could bet strategically with a positive expected return; in particular, we used field data in Hong Kong to illustrate a vivid scenario for positive expected return in gambling.

Yarn Expo Spring 2018 expecting over 450 exhibitors to take part

The leading trade event in the world’s biggest yarn and fiber consuming market;an unrivalled ability in gathering high-quality worldwide buyers from various market sectors;strong industry affirmation on its effectiveness;

Cotton Market Fundamentals & Price Outlook

2017.09 Released by Cotton Incorporated Recent price movement NY futures and the A Index were influenced by U.S.crop expectations over the past month.Chinese prices were affected by exchange rates.South Asian prices were flat or lower.After collapsing with the release of a higher U.S.production forecast in last month＇s report,NY futures moved higher with production-related concerns stemming from the arrival of two major.

一种颗粒随机分布复合材料弹性位移场均匀化方法的理论分析

针对计算随机颗粒分布复合材料弹性位移/力学场时,采用样本求力学性能期望值需要花费大量时间和内存的问题,给出了一种计算颗粒随机分布复合材料弹性位移场的均匀化方法,并且获得了均匀化位移场与期望位移场之间的一种理论误差,首先由复合材料的特性定义了均匀化理论的随机场和概率空间,然后结合单胞内颗粒随机分布复合材料的特性做了一些合理假设得到了在整个颗粒随机分布复合材料组成区域上的期望位移场与均匀化位移场之间的一种理论估计,最后对此法所具有的优点、适应范围,缺点、以及需要改进的地方做了进一步讨论。

显著性边缘引导下的图像抽象化

针对已有的图像抽象化算法难以反映显著性边缘信息的不足,提出了一个显著性边缘引导下的基于能量优化的图像抽象化算法。对于给定的输入图像,首先基于边缘信息传递策略来提取图像的显著性边缘图,从而有效地减少了不连续边缘的产生;然后,为了在增强显著性边缘的同时抑制杂乱细节信息,根据显著性边缘图来构建图像的期望梯度场;最后,在图像颜色信息和期望梯度场的约束之下,通过能量优化来获得图像的抽象化效果。实验结果表明,本文算法在显著性边缘的连续性保持上表现出明显的优势,具有很好的科学研究价值及实际应用前景。