Publications by authors named "S Feyer"

Animal behaviour is often modelled as networks, where, for example, the nodes are individuals of a group and the edges represent behaviour within this group. Different types of behaviours or behavioural categories are then modelled as different yet connected networks which form a multilayer network. Recent developments show the potential and benefit of multilayer networks for animal behaviour research as well as the potential benefit of stereoscopic 3D immersive environments for the interactive visualisation, exploration and analysis of animal behaviour multilayer networks.

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Background: A neurological examination is essential for determining the localisation of neurological lesions. However, in avian species, quantitative data regarding the practicability and feasibility of neurological tests are very limited. Therefore, the aim of this study was to establish normative data for the neurological examination of clinically healthy birds of different species.

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Background: The genus Corynebacterium comprises well-known animal and human pathogens as well as commensals of skin and mucous membranes. Species formerly regarded as contaminants are increasingly being recognized as opportunistic pathogens. Corynebacterium oculi has recently been described as a human ocular pathogen but has so far not been reported in dogs.

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Article Synopsis
  • Researchers examined how the arrangement of layers in a multilayer network (MLN) affects readability and analysis tasks.
  • They conducted a study using a Virtual Reality headset to test 2D, 2.5D, and 3D arrangements across six different analysis tasks.
  • While there wasn't a definitive best arrangement, the study provided data-driven recommendations for effectively using each arrangement type based on specific analysis tasks.
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A free ranging, fledged common buzzard () was found with severe feather damage and left periorbital swelling. Clinical examination revealed a 3.0 × 2.

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