The Expensive Brain Framework (EBF) and the Cognitive Buffer Hypothesis are commonly used to explain inter-and intraspecific variation in brain size and brain architecture. Using Andrew's toad (Bufo andrewsi) as a model species, we investigated whether brain attributes in amphibians are shaped by the interplay between age and the length of the activity season as determined by altitude and latitude. We found significant differences in absolute and relative brain volume across 12 populations. Supporting the EBF, we observed a positive correlation between absolute and relative brain volume with season length. In particular, populations experiencing long seasons were characterized by having relatively large olfactory nerve and optic tecta. Relative, but not absolute, brain volume was also positively correlated with individual age. When accounting for the effects of body size and brain volume, however, the size of different brain structures (olfactory nerve, olfactory bulbs, telencephalon, optic tecta and cerebellum) was independent from age. Taken together, our findings are largely in agreement with the EBF to determine brain size variation in Andrew's toad.

Self-powered ultraviolet (UV) photodetectors have attracted considerable attention in recent years because of their vast applications in the military and civil fields. Among them, self-powered UV photodetectors based on p-n heterojunction low-dimensional nanostructures are a very attractive research field due to combining the advantages of low-dimensional semiconductor nanostructures (such as large specific surface area, excellent carrier transmission channel, and larger photoconductive gain) with the feature of working independently without an external power source. In this review, a selection of recent developments focused on improving the performance of self-powered UV photodetectors based on p-n heterojunction low-dimensional nanostructures from different aspects are summarized. It is expected that more novel, dexterous, and intelligent photodetectors will be developed as soon as possible on the basis of these works.

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It is widely believed that people have preferences in relation to the colour of their interior environment. With the development of the global small apartment industry, it is important to understand well people's colour preference for apartments. This study investigated the apartment colour preference (N = 958) and the arousal level measured as heart rate variability for 70 young Chinese people for 21 colours. The findings indicate that young Chinese people (22‐27 years of age) prefer light red, red, yellow, and gray areas of the colour space, and least prefer darker colours in the green, gray, and brown areas of the colour space. In terms of heart rate variability arousal, it was found that colours in the red, purple, and yellow areas of the colour space had the highest effect on heart rate variability arousal, vs gray and brown colours, which were found to have the lowest effect on arousal levels.

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