tpo- 36 integrated writing
The reading passage and the lecture talking about the effectiveness of the cloud seeding in protecting crops from hail which considered very damaging factor to the crops. But the narrator claimed that assessment. Also, he cast a doubt about the three evidences which it mentioned in the reading passage.
First, according to the lab experience the allegation of the script asserts that many experiment done inside the lab supported the concept of adding silver iodide to cold water to get light snow instead of heavy hail pellets. But, the professor opposed that idea by explaining that this experiment could affect in negatively way in real life. Because that will prevent any precipitation of cloud seeding with for instance, snow, rain, and hail. Moreover, will lead to more crops damage due to high drought and lack of water.
Second, evidence from Asia claimed that they successfully used to control precipitation in urban areas and protecting more lands and farms could happen in United States because of cloud seeding. In contrast to the aerator who poses that in Asia weather in urban or cities, they increased the pollution and that will affect the interaction between cloud and seeding chemicals. So, without pollution there is not cloud seeding in United States.
Third, local studies explained that there is reduction in the hail damage when they used the cloud seeding in some farms in the central of U.S comparing to previous years. The lecturer contrivers that by saying that it is nature to decrease the hail in some neighborhood areas and that solely the effective of cloud variation of seed level.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2022-09-20 | HideAPumpkin | 75 | view |
| 2022-09-02 | Allenwlh | 70 | view |
| 2021-08-17 | Mizanur | 40 | view |
| 2021-03-22 | alibenvari | 70 | view |
| 2020-10-31 | neda77aa | view |
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Grammar and spelling errors:
Line 3, column 82, Rule ID: MANY_NN[1]
Message: Possible agreement error. The noun experiment seems to be countable; consider using: 'many experiments'.
Suggestion: many experiments
...e allegation of the script asserts that many experiment done inside the lab supported the conce...
^^^^^^^^^^^^^^^
Line 3, column 305, Rule ID: AFFECT_EFFECT[1]
Message: Did you mean 'effect'?
Suggestion: effect
...y explaining that this experiment could affect in negatively way in real life. Because th...
^^^^^^^^^
Line 7, column 142, Rule ID: SENTENCE_WHITESPACE
Message: Add a space between sentences
Suggestion: S
...eding in some farms in the central of U.S comparing to previous years. The lectur...
^
Transition Words or Phrases used:
also, but, first, if, moreover, second, so, third, for instance, in contrast, talking about, in contrast to
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 3.0 10.4613686534 29% => More to be verbs wanted.
Auxiliary verbs: 5.0 5.04856512141 99% => OK
Conjunction : 10.0 7.30242825607 137% => OK
Relative clauses : 16.0 12.0772626932 132% => OK
Pronoun: 19.0 22.412803532 85% => OK
Preposition: 44.0 30.3222958057 145% => OK
Nominalization: 14.0 5.01324503311 279% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1360.0 1373.03311258 99% => OK
No of words: 267.0 270.72406181 99% => OK
Chars per words: 5.0936329588 5.08290768461 100% => OK
Fourth root words length: 4.04229324003 4.04702891845 100% => OK
Word Length SD: 2.54733966867 2.5805825403 99% => OK
Unique words: 151.0 145.348785872 104% => OK
Unique words percentage: 0.565543071161 0.540411800872 105% => OK
syllable_count: 408.6 419.366225166 97% => OK
avg_syllables_per_word: 1.5 1.55342163355 97% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 2.0 3.25607064018 61% => OK
Article: 3.0 8.23620309051 36% => OK
Subordination: 1.0 1.25165562914 80% => OK
Conjunction: 2.0 1.51434878587 132% => OK
Preposition: 3.0 2.5761589404 116% => OK
Performance on sentences:
How many sentences: 12.0 13.0662251656 92% => OK
Sentence length: 22.0 21.2450331126 104% => OK
Sentence length SD: 55.8725608466 49.2860985944 113% => OK
Chars per sentence: 113.333333333 110.228320801 103% => OK
Words per sentence: 22.25 21.698381199 103% => OK
Discourse Markers: 8.91666666667 7.06452816374 126% => OK
Paragraphs: 4.0 4.09492273731 98% => OK
Language errors: 3.0 4.19205298013 72% => OK
Sentences with positive sentiment : 6.0 4.33554083885 138% => OK
Sentences with negative sentiment : 4.0 4.45695364238 90% => OK
Sentences with neutral sentiment: 2.0 4.27373068433 47% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.0 0.272083759551 0% => The similarity between the topic and the content is low.
Sentence topic coherence: 0.0 0.0996497079465 0% => Sentence topic similarity is low.
Sentence topic coherence SD: 0.0 0.0662205650399 0% => Sentences are similar to each other.
Paragraph topic coherence: 0.0 0.162205337803 0% => Maybe some paragraphs are off the topic.
Paragraph topic coherence SD: 0.0 0.0443174109184 0% => Paragraphs are similar to each other. Some content may get duplicated or it is not exactly right on the topic.
Essay readability:
automated_readability_index: 13.7 13.3589403974 103% => OK
flesch_reading_ease: 57.61 53.8541721854 107% => OK
smog_index: 3.1 5.55761589404 56% => Smog_index is low.
flesch_kincaid_grade: 10.7 11.0289183223 97% => OK
coleman_liau_index: 12.54 12.2367328918 102% => OK
dale_chall_readability_score: 8.81 8.42419426049 105% => OK
difficult_words: 69.0 63.6247240618 108% => OK
linsear_write_formula: 11.5 10.7273730684 107% => OK
gunning_fog: 10.8 10.498013245 103% => OK
text_standard: 11.0 11.2008830022 98% => OK
What are above readability scores?
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It is not exactly right on the topic in the view of e-grader. Maybe there is a wrong essay topic.
Rates: 3.33333333333 out of 100
Scores by essay e-grader: 1.0 Out of 30
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Note: the e-grader does NOT examine the meaning of words and ideas. VIP users will receive further evaluations by advanced module of e-grader and human graders.