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Journal ArticleDOI

The Hidden Dimension

Alan Lipman, +1 more
- 01 Sep 1970 - 
- Vol. 21, Iss: 3, pp 353
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TLDR
The hidden dimension is a book that can be found in the on-line library as discussed by the authors, which is one of the sites where the hidden dimension book can be accessed and read.
Abstract
However, this era also allow you to get the book from many sources. The off line book store may be a common place to visit to get the book. But now, you can also find it in the on-line library. This site is one of the on-line library in which you can find your chosen one to read. Now, the presented the hidden dimension is a book that you can find here. This book tends to be the book that will give you new inspirations.

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Citations
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Human Ethology: Personal Space Reiterated.

TL;DR: In this article, the authors introduce social scientists to a unique perspective while providing biologists with a wholly new study species, homo sapiens, which they call homosapiens.
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Cultural confusions show that facial expressions are not universal.

TL;DR: This work demonstrates that by persistently fixating the eyes, Eastern observers sample ambiguous information, thus causing significant confusion, and questions the universality of human facial expressions of emotion.
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Fixation patterns during recognition of personally familiar and unfamiliar faces

TL;DR: It is suggested that in the context of familiarity decisions without time constraints, differences in processing familiar and unfamiliar faces arise relatively early – immediately upon initiation of the first fixation to identity-specific information – and that the local features of familiar faces are processed more than those of unfamiliar faces.
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Toward a Conception of Culture for Cross-Cultural Psychology

TL;DR: The concept of culture in cross-cultural psychology remains largely unexamined theoretically, and is often undifferentiated from other core behavioral science concepts such as "social system" and "society" as mentioned in this paper.
Journal ArticleDOI

Socially compliant mobile robot navigation via inverse reinforcement learning

TL;DR: An extensive set of experiments suggests that the technique outperforms state-of-the-art methods to model the behavior of pedestrians, which also makes it applicable to fields such as behavioral science or computer graphics.