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The observation pattern of EPBs shows nearly no occurrence during the month of May and it maximizes during the period October April.
A relatively high correlation was obtained, indicating that the saliency maps can be used as reliable predictions of the human observation pattern and thus can predict which elements in a landscape will catch the attention.
The relationship between measure of observation pattern (observation frequency, observation duration and latency to 1st fixation) and correct/incorrect assessment of pain (2 levels) was tested with Biserial correlations for sequences 2, 3 and 4. Sequence 1 was not included in the analysis as it referred to rabbits in a 'no pain' state.
For better understanding of the procedure, we want to stress the conceptual difference of continuous real mutations and the here applied parameter changes m which result in a discretized observation pattern.
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This included assessments of how observer gender and experience (with rabbits) influenced observation patterns.
1. Observation — patterns of behavior, points of pain and inconvenience.
As far as we are aware this represents the first objective investigation of observation patterns exhibited when watching the behaviour of a non-human animal species.
This research should encompass assessing observation patterns under a range of situations (e.g. during assessments of pain, distress, fear etc).
This could be further investigated by assessing observation patterns and the effectiveness at assessing behaviour of human subjects that vary in their tendency to focus on the face, e.g. those with developmental disorders (e.g. autism) or those who vary in personality traits such as empathy and theory of mind.
We compared the simulated distance travelled, revisit rates, and visit frequency determined for each species with the observation patterns of the same species.
Based on these observation patterns, API batches AS-1, AS-2, and AS-3 were also tested for their dissolution profiles/dissolution rate and great differences were found; see Figure 1.
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