Help me Solve this using NURSING TRN

Help me Solve this using NURSING TRN SYMBOLIC PROGRAMMING LANGUAGE The tiktok algorithm has somehow decided that I would be interested in bees – and it was right. Beetok has a few very popular accounts of beekeepers who save bees. These beekeepers are called in to people’s homes or public places when there is a bee infestation. Instead of killing all the bees, they save them and relocate them (because #savethebees). Ok, so what does this have to do with the visual search task? The way they relocate the bees without hurting them is to find the queen bee, put her in a bee clip, and then put her in a box that all the bees then follow her to. The queen bee looks very similar to all the other types of bees, but she is slightly larger and darker. These beekeepers need to search around the hive of thousands of bees until they find the one bee they’re looking for. This is exactly like a very difficult conjunction search. The queen bee shares many features with all of the other bees, so the beekeepers must look at every single bee before they find the correct one. This can take a very long time and shows how important the pop-out effect is in the first stage of feature integration theory. When there are insufficient stimulus cues for us to identify an object among many distracting objects, we must move on to the second stage of feature integration theory, which requires many more resources (attentional and time) to complete the task. These beekeepers likely have very good attentional control to be able to complete their task efficiently. If you’re interested in seeing some of these videos, check out @mr.mrs.beerescue on tiktok.

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