校园绿色空间缓解大学生心理压力的作用途径——以空间恢复性为中介的研究

在学习、生活和就业压力的多重影响下,当代大学生的心理健康状况不容乐观,心理压力问题亟待缓解。大量研究已经证实校园绿色空间能较好地缓解压力,促进心理健康。然而两者之间的相关关系尚未完全明确,可能存在其他变量在两者之间产生中介效应。选择重庆大学校园内6个典型绿色空间为研究对象,探讨7种环境特征与学生心理压力缓解之间的关系,以空间恢复性为中介构建路径分析模型解释环境特征缓解学生心理压力的作用路径。结果表明:1)天空开阔度和树种丰富度均对压力缓解有促进作用,水体占比有抑制作用,绿视率和色彩丰富度既有促进作用也有抑制作用;2)天空开阔度、水体占比、绿视率、树种丰富度和色彩丰富度均为间接减压路径,最佳减压路径为树种丰富度→延展性→压力缓解;3)色彩丰富度对男生的减压效果比女生大,绿视率和水体占比对女生的减压效果比男生好;色彩丰富度和绿视率对理工科学生的减压效果优于文科学生。研究结果可为校园绿色空间规划设计与空间营造提供理论参考,以更好地促进学生心理健康。

表达性艺术治疗等视角下的校园恢复性空间建设——以新媒体艺术学院“阳光翠亭”学习中心为例

随着政府、社会、学校对师生心理健康问题的重视程度日益提高,优化校园环境以促进师生身心健康发展已成为一项迫切任务。本研究以新媒体艺术学院“阳光翠庭”学习中心的建设为例,详细探讨了校园恢复性空间的构建理论与实践。文章结合恢复性环境理论等多种理论支撑,并基于设计伦理的发展趋势以及国内外校园空间建设成功案例,认为校园恢复性空间建设应具备共享性、绿色性、智慧性与弹性特征。实践层面,研究通过对新媒体艺术学院的现实需求分析,从空间材质、色彩、图案、装饰和功能五个维度,确立了“阳光翠亭”学习中心的自然性、功能性、疗愈性的设计思路,并结合表达性艺术治疗理论,为空间发展提供了音乐疗愈、绘画疗愈和中医药疗愈的创新建设策略。

Spatial variability and long-term change in pollen diversity in Nam Co catchment(central Tibetan Plateau): Implications for alpine vegetation restoration from a paleoecological perspective

Pollen diversity offers abundant clues into the floristic diversity and history of vegetation change. Few palynological studies investigated modem pollen diversity or the past floristic diversity on the Tibetan Plateau （TP）. Based on modem pollen assemblages from 37 topsoils and 63 surface lake sediments in the Nam Co catchment on the central TP, this study quantitatively explored spatial distribution of modem pollen diversity using Shannon-Wiener index （H） and palynological richness （E（Tn）, n=600）. Pollen diversity indices showed spatial variability among vegetation types, reflecting the differences in terrestrial floristic diversity in the lake catchment. Their values were high in the southeastern region of the lake catchment which is covered by alpine steppe, while values were low for alpine meadow and marsh meadow. The pollen diversity in lacustrine pollen assemblage could be an effective proxy to document past floristic diversity. The past floristic diversity in the lake catchment, recovered from a fossil pollen record ofNMLC-1, showed a long-term change of ascending overlaid by several rapid diversity changes during the last 8400 years due to the downward shift of altitudinal vegetation belt driven by a general climatic cooling. The results imply that under the environmental challenge of climate warming and vegetation degradation, alpine vegetation restoration in the Nam Co catchment and the central TP should pay attention to altitudinal vegetation belt and zonal vegetation of alpine steppe, and use the long-term change of floristic diversity as a historical analogue.

Support Vector Regression Based Color Image Restoration in YUV Color Space

A support vector regression(SVR) based color image restoration algorithm is proposed.The test color images are firstly mapped into the YUV color space,and then SVR is applied to build up a theoretical model between the degraded images and the original one.Performance comparisons of the proposed algorithm versus traditional filtering algorithms are given.Experimental results show that the proposed algorithm has better performance than traditional filtering algorithms and has less computation time than iterative blind deconvolution algorithm.