Answer:
scale size okkkkkkkkkjj hydroxyl park
Answer:
The correct answer is gas
Explanation:
They can also be called carbon emissions, CO2 emissions, or greenhouse gas emissions. Contaminating smoke from factories is made up mostly from burning fuels residues, and it includes solid particles and gases like the carbon dioxide, methane and nitrous oxide. These chemicals pollute the air and bring terrible consequences to health, especially respiratory disorders and diseases like cancer and brain strokes.
Answer:
The abolitionists were accused of provoking stronger sectionalism because they used violent and aggressive tactics and actively worked to undermine the slave system in the south.
Explanation:
Some historians say that the abolitionists actually helped to strengthen sectionalism in the south because In the North, the abolitionist feeling grew and there was opposition to the extension of slavery into the Western regions that had not yet become states. The Southerners believed that slavery was essential to their economy and even non-slaveholding whites in the the south generally supported slavery because they did not want the competition for land from free blacks. In 1835 antislavery mailings were sent to southern post offices and this angered the pro-slavery segment of Southern society. John Brown was an abolitionist who tried to start a slave revolt in the south in 1859 with a raid on an arsenal at Harpers Ferry, West Virginia.
Answer:
Around A.D. 1000
Explanation:
Around A.D. 1000, Eriksson sailed to Norway, where King Olaf I converted him to Christianity. According to one school of thought, Eriksson sailed off course on his way back to Greenland and landed on the North American continent, where he explored a region he called Vinland. Eriksson sailed off course on his way back to Greenland and landed on the North American continent, where he explored a region he called Vinland
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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