Log-normal nanograin-size distributions in nanostructured composites

A key challenge in the fabrication of superhard nanocomposite films is how to control the distribution of grain sizes in these materials. High-resolution transmission electron microscopy has been used to measure nanograin-size distributions in the Ti–B–N films with various B contents. The results show that the mean grain size decreases with increase of B content and the grain-size distribution conforms to a log-normal function when the hardness approaches a maximum value. The transition from normal to log-normal distributions can be determined by analysis in terms of a minimum information criterion. The origin of a log-normal size distribution probably results from heterogeneity arising from a diffusion-drift process.     

中小学生阅读图文课文的眼动实验研究

本研究采用眼动方法,对85名小五、实二和高二年级学生阅读图文课文的阅读理解指标和眼动指标进行考察。结果表明：（1）学生阅读不同呈现方式和难度课文的阅读理解指标和眼动指标,一般都具有明显的年龄发展特征;（2）学生阅读不同呈现方式课文的阅读理解指标和眼动指标,有图课文大多显著优于无图课文;（3）学生阅读不同难度课文的阅读理解指标和眼动指标,易课文显著优于难课文。     

建筑有学问,风水是迷信

近几年,风水术又流行起来。风水先生不足论,在一些学者的言论和论著中,也把风水说成是建筑选址的“环境科学”,比如要依山傍水,背风向阳之类。笔者经过对历史文献的考察,发现这完全是一种误解。兹将结果发表,供有关人士参考。一、风水术不是孔孟老庄及其以前的传统选择适当的地方做窝,是许多动物的本能。据研究,有些动物还有选择葬地的行为。到该死的时     

文轨及其《因明入正理论疏》

本文对文轨在因明学方面的研究做了梳理,指出文轨在《因明入正理论疏》方面的贡献有:一、深刻地揭示了因明的功用与性质。二、理清了新、古两种因三相的同异。三、揭示了同法“正取因同、兼取宗同”的逻辑观点。四、正确阐发了量智与量果的统一关系。文中还对《文轨疏》的在朝鲜和日本流传的情况做了考述,最后对《文轨疏》做了复原工作。     

教师教学监控能力的结构:一个验证性的研究

根据前期的理论研究,建构出教师教学监控能力的六成分结构,并根据这个结构深入到中小学课堂进行现场观察与访谈,由此形成教师教学监控能力量表的初步项目,再经过预试,初步的项目分析与修订,最终形成量表。     

In search of the ‘Aha!’ experience: Elucidating the emotionality of insight problem‐solving

Although the experience of insight has long been noted, the essence of the ‘Aha!’ experience, reflecting a sudden change in the brain that accompanies an insight solution, remains largely unknown. This work aimed to uncover the mystery of the ‘Aha!’ experience through three studies. In Study 1, participants were required to solve a set of verbal insight problems and then subjectively report their affective experience when solving the problem. The participants were found to have experienced many types of emotions, with happiness the most frequently reported one. Multidimensional scaling was employed in Study 2 to simplify the dimensions of these reported emotions. The results showed that these different types of emotions could be clearly placed in two‐dimensional space and that components constituting the ‘Aha!’ experience mainly reflected positive emotion and approached cognition. To validate previous findings, in Study 3, participants were asked to select the most appropriate emotional item describing their feelings at the time the problem was solved. The results of this study replicated the multidimensional construct consisting of approached cognition and positive affect. These three studies provide the first direct evidence of the essence of the ‘Aha!’ experience. The potential significance of the findings was discussed.     

Working memory capacity of biological movements predicts empathy traits

Working memory (WM) and empathy are core issues in cognitive and social science, respectively. However, no study so far has explored the relationship between these two constructs. Considering that empathy takes place based on the others’ observed experiences, which requires extracting the observed dynamic scene into WM and forming a coherent representation, we hypothesized that a sub-type of WM capacity, i.e., WM for biological movements (BM), should predict one’s empathy level. Therefore, WM capacity was measured for three distinct types of stimuli in a change detection task: BM of human beings (BM; Experiment 1), movements of rectangles (Experiment 2), and static colors (Experiment 3). The first two stimuli were dynamic and shared one WM buffer which differed from the WM buffer for colors; yet only the BM conveyed social information. We found that BM-WM capacity was positively correlated with both cognitive and emotional empathy, with no such correlations for WM capacity of movements of rectangles or of colors. Thus, the current study is the first to provide evidence linking a specific buffer of WM and empathy, and highlights the necessity for considering different WM capacities in future social and clinical research.     

Modelling individual difference in visual categorization

Recent years has seen growing interest in understanding, characterizing, and explaining individual differences in visual cognition. We focus here on individual differences in visual categorization. Categorization is the fundamental visual ability to group different objects together as the same kind of thing. Research on visual categorization and category learning has been significantly informed by computational modelling, so our review will focus both on how formal models of visual categorization have captured individual differences and how individual difference have informed the development of formal models. We first examine the potential sources of individual differences in leading models of visual categorization, providing a brief review of a range of different models. We then describe several examples of how computational models have captured individual differences in visual categorization. This review also provides a bit of an historical perspective, starting with models that predicted no individual differences, to those that captured group differences, to those that predict true individual differences, and to more recent hierarchical approaches that can simultaneously capture both group and individual differences in visual categorization. Via this selective review, we see how considerations of individual differences can lead to important theoretical insights into how people visually categorize objects in the world around them. We also consider new directions for work examining individual differences in visual categorization.