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Attention is the mechanism by which features, objects, and spatial locations in the environment are selected for increased scrutiny, thus allowing an organism to selectively extract from the environment the information that is most needed to achieve current goals.
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A representative building in an urban environment was selected for investigation.
An equation-oriented environment was selected to develop and implement the model, allowing different application instances, such as simulation, sensitivity analysis and optimization, to be easily performed.
A 20 km long route composed by intersections in rural and urban environment was selected to collect both driving and eye movement data.
Next, the DAE corresponding to the identified environment is selected, and dereverberation is applied by it.
The second system simulation environment was selected to represent a Manhattan like topology.
Every mode is tested and the one resulting in the highest score with its environment is selected.
For home learning environment, family digital devices, family book possession, and satisfaction with family learning environment were selected as sub-level indicators for the home learning environment indicator.
Based on a previous unpublished study on water, six heavy metals that were common in the Lusaka environment were selected for analysis.
Attributes of the environment were selected to address major biotic groups having substantial public and natural resource agency interest within to the coastal zone of Lake Ontario (Table 2).
Finally, the hardware, operating system, and programming environment were selected to provide an inexpensive, flexible testing system that does not rely upon specialized or proprietary technology.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com