Fine muscle, Eye-hand coordination & Dexterity are the developmental skills fostered by a child scribbling and drawing
<h3>What is
developmental skills?</h3>
A developmental skills are also called a developmental milestones that all children gain over time as they grow.
In conclusion, the Fine muscle, Eye-hand coordination & Dexterity are the developmental skills fostered by a child scribbling and drawing
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Answer:
Corrupted economies are not able to function properly because corruption prevents the natural laws of the economy from functioning freely. As a result, corruption in a nation's political and economic operations causes its entire society to suffer.
Furthermore, most evidence of the possible economic benefits of corruption comes from global instances of poor governance. Scholars have found that corruption has no significant effect on economic growth in democracies, but inflicts significant economic harm in non-democracies
Not only does corruption affect economic development in terms of economic efficiency and growth, it also affects equitable distribution of resources across the population, increasing income inequalities, undermining the effectiveness of social welfare programmes and ultimately resulting in lower levels of human
Answer: Venturesome Personality
Explanation:
From the given case scenario, we can denote that under this particular case Christy has an venturesome personality. Venturesome personality is known as the situation under which an individual tends to aspire or desires to explore new horizon, experiences, tolerate uncertainty and take chances.
Answer:
Natural world
Explanation:
From the definition of science, we can see that science is concerned with the natural world and has nothing to do with the spiritual world or the furtherance of physical truth. According to the definition, science is the study of nature and how natural things behave. It also goes ahead to understand the knowledge acquired from these natural things.
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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