Answer:
D) Periodically measure how the treatment is being implemented.
Explanation:
I would think this would be the best way to monitor data. When you periodically measure the data of the treatment being implemented you can monitor it better in my opinion.
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The statement given by Robert Sternberg which suggests that the intelligence is culturally defined is TRUE. Intelligence quotient of individuals also changes with change in regions.
Intelligence is in the culture and customs followed by an individuals or group of individuals in a way that how the ancestors or super senior people have impacted the way of living.
<h3>Intelligence</h3>
- The intelligence of a person cannot be defined in exact numbers but is grouped from a range of being less intelligent to being very intelligent, and it cannot be seen but can be felt and experienced.
- Intelligence differs with changing cultures, which is dependent on factors like the upbringing of such person belonging to a specific culture and the teachings of life left behind by the ancestors.
- The individuals belonging to a culture have different intelligence because of the customs and traditions that have been set as standard practices and followed from such period.
Hence, the statement given above by Robert Sternberg which suggests that the intelligence is culturally defined is TRUE.
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Answer:
increase taxation, decrease spending
Explanation:
A budget deficit occurs when government expenses exceed revenue. To meet the financial obligation of the budget, congress should employ fiscal policies such as increased taxation to raise revenue so as to meet the budgetary obligation or conversely, they can cut down on governmental spending.
I believe the answer is: assimilation
in this context, assimilation refers to the process when new information is obtained and being mixed with existing knowledge. The process of assimilation does not necessarily make people underctain the core concept of the new concept, which make it almost impossible for them to utilize it into practical things in their current state of development.
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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