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Explanation:
The prejudice is to say that lisa is predisposed to not being helped, can make her unwilling to admit that she feels bad and that she needs urgent help.
-The effect of the spectator; Some may look at you negatively, others reach out to you smoothly, you must be willing to ignore those bad attitudes.
Although we would say that in this case altruism goes from people to Lisa, in this case lisa must be modest and recognize that she needs help and must be altruistic when she is willing to accept it.
Brackish water is water that has some salt/sea water, but is mostly fresh.
The correct answer here would be the third option.
The Enlightenment movement and its supporters placed the highest value on the reason itself and they therefore challenged the established and traditional beliefs that were dominant at the time. The idea that people had fundamental rights that no government could break were critical for the future development of nations as was the idea that the government was for the people and the people had the right to chose their government.
In the context End-To-End Measure for Text's crucial to evaluate the performance of text recognition and text line detection engines before comparing systems and configurations. Both jobs have established metrics that can be used independently.
To evaluate the effectiveness of a system that combines text line detection with text recognition, however, there is no sophisticated system in place.
A well-known methodology that is occasionally applied in this context is the F-measure on word level. However, it can produce misleading findings because it does not account for the alignment of the hypothesis and the ground truth text. There is a considerable demand for such a metric since users of automatic information retrieval pipelines in the context of text recognition are primarily interested in the end-to-end performance of a given system.
As a result, we offer a metric to assess a text recognition system's overall quality. The widely accepted character error rate serves as the foundation for this measurement and is only applicable to aligned hypothesis and ground truth texts in its original form. The suggested measure is adaptable in that it may be set up to punish various reading orders between the hypothesis and the actual data as well as take into consideration the text lines' geometric positions. It also has the ability to disregard the over- and under-segmentation of text lines. It is possible to obtain a measure that best suits its own demands using these factors.
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