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Sceloporus graciosus
Number of Pages: 4Integrative BiologyGeological Science
Further exploring the dynamicity, situatedness, and emergence of the self: The key role of context
Drawing on theoretical insights from a complex dynamic systems framework, this work explores the ways that learner selves, as they relate to learning and using languages, manifest across different contexts and timescales and emerge in interaction with various factors. First, a broad overview of dynamically-oriented L2 motivation research is provided before critically considering the need for research that aligns with conceptual advances made under the dynamic turn in SLA. In particular, this critical overview highlights a crucial need for more research employing dynamic methods capable of revealing how learner perceptions of self emerge in relation to their interlocutors and in interaction with external factors, including language ideologies that may uniquely characterize sociocultural contexts where target languages other than English are learned. The chapter concludes by discussing ways to implement dynamically oriented methodology that can provide much needed insights into the inherent dynamic, emergent, and contextually and socially embedded nature of learner selves
Vertex Isoperimetric Inequalities for a Family of Graphs on Z^k
We consider the family of graphs whose vertex set is Z^k where two vertices
are connected by an edge when their l\infty-distance is 1. We prove the optimal
vertex isoperimetric inequality for this family of graphs. That is, given a
positive integer n, we find a set A \subset Z^k of size n such that the number
of vertices who share an edge with some vertex in A is minimized. These sets of
minimal boundary are nested, and the proof uses the technique of compression.
We also show a method of calculating the vertex boundary for certain subsets
in this family of graphs. This calculation and the isoperimetric inequality
allow us to indirectly find the sets which minimize the function calculating
the boundary.Comment: 19 pages, 2 figure
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Cue combination for 3D location judgements
Cue combination rules have often been applied to the perception of surface shape but not to judgements of object location. Here, we used immersive virtual reality to explore the relationship between different cues to distance. Participants viewed a virtual scene and judged the change in distance of an object presented in two intervals, where the scene changed in size between intervals (by a factor of between 0.25 and 4). We measured thresholds for detecting a change in object distance when there were only 'physical' (stereo and motion parallax) or 'texture-based' cues (independent of the scale of the scene) and used these to predict biases in a distance matching task. Under a range of conditions, in which the viewing distance and position of the tarte relative to other objects was varied, the ration of 'physical' to 'texture-based' thresholds was a good predictor of biases in the distance matching task. The cue combination approach, which successfully accounts for our data, relies on quite different principles from those underlying geometric reconstruction
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