In any field of endeavor, it is impossible to make a significant contribution without first being strongly influenced by past achievements within that field.

Essay topics:

In any field of endeavor, it is impossible to make a significant contribution without first being strongly influenced by past achievements within that field.

It is a general human desire to make a significant and lasting contribution in the field. It is obvious that many want to expand the prior art knowledge by embarking unprecedented innovative approaches and leaving a dent in the world (for good); the motivation in many cases is driven as we want our succeeding generation to have exposure to high quality of life which is now missing. We are intrinsically motivated to do so; the desire is driven by admiring individuals like Albert Einstein, Thomas Edison, Steve Jobs, Ron Rivest, etc. the nobodies who just had a desire to change the world and guide future generations. Making a lasting contribution is not easy; it requires strenuous efforts, endless hours of rejections and a lasting dedication – Edison mastered the invention of light bulb after failing over a thousand times – which amongst the other factors is most critical. Whether the innovation is dependent on the prior art heavily depends on varied interpretations – in many cases where the invention is related to existing technology, then yes, whereas in domains where no prior research is existing; just mere exploration will yield a hopeful tangible result.

Deriving information from the dated texts can yield confusing results. There have been incidents where the motivation for a given experiment has been drawn from the previous studies; measuring energy of an individual photon was initially postulated by Einstein and was only recently concluded – The scientist used scaffolding similar to that of Einstein’s. However, at times when no innovation on the subject field exists, we are left with ideas and open ended questions fostering questions which have no direct consequence – Claude Shannon, apex scientist referred to as the father of modern information systems, designed the first Boolean logic supported system, which was unprecedented; however, his results encouraged many innovators towards designing a probabilistic time machines, capable of performing heavy computation which is now known as the computer. It is no doubt that many of the current innovations in the field are directed by the findings of Claude Shannon – defined the characteristic of a secure encryption structure, and need for the hash function. It can thus be evident when we have a tangible prior art, any innovator, explorer can investigate them use them and enhance the overall body of work – Alan Turing, inspired by the work of Claude Shannon produced the first electrical thinking machine, known as the turing machine; it successors are now a modern day computers. However, initially when there is no work done on the subject matter, it becomes quite difficult to explore the same as the methodology on the previous work can be deceiving or inconclusive on the developing domain – initial discovery of Chinese Remainder Theorem was unprecedented and took ages to just formulate the very idea, it can thus be seen that many of the claims made by the innovators are erroneous, as they believed it can be used to finding all the prime numbers on the number line, the same will be ridiculed by todays scientist which was championed and accepted as valid by philosophers of the time; the work was however, unprecedented and thus the above paradox can be depicted as it did not have an established prior art.

The empirical work done in the field can help a lot in enhancing the work. It is a no brainer that any scheme or work designed is not flawless – this is where the innovation takes place, highlighting the flaws, working to make it better and finally enhance the overall body – thus researchers are intrinsically motivated to draw work credible researchers, as they help them in developing a new frameworks, approaches and schemes of much greater applicability – Whitefield Diffie and Matin Hellman proposed an open ended question in 1970s stating a need for an algorithm which can perform encryption using one key and decryption using the other; this idea bemused high intellects of the time and amongst the few Ron Rivest was the one who came up with the solution, the algorithm is a widely used one in the field. Thus, the empirical studies in the prior art can help delineate more output and innovation, yielding the field to evolve at the apex stage of the all. However, certain findings can be erroneous, for instance a decade old manuscript which was used in developing a psychological treatment for overcoming anxiety issue was recently retracted as research showed that the data was falsified to promote results which matched the research hypothesis. However, it doesn’t imply that the same holds for all the cases, there are anomalies which surely exists; the spirit remains un-expunged as we are heavily dependent on such findings to actually grow the domain.

Innovation and evolution are congruous to each other as one cannot producing innovative results without evolving the field and evolution cannot happen in the field without innovation. To attain innovation a dependency on the prior art is needed. However, one can argue that many ideas are drawn from regions which are incongruous with the current findings – mathematicians believed that there were distinctive numbers on the number line; a mathematician which claimed that there were infinite numbers between any two numbers was ridiculed and was boycotted from the field and Fourier designed the series representing unprecedented heat equations using Sine and Cosine terms was ridiculed by masses experiences a real-time application and is championed throughout the field— but it can be proved that such findings do have a lot of holding in overall evolution of the field. The scientists, innovators are constantly exploring and although such findings were once ridiculed, they are now accepted – conversely it can be evident that many approaches proposed by Galelio are now considered unscientific approaches. Thus, however it can be proved that many interpretations can be delineated from this topic; but overall it does have a practical bearing and helps the field evolve.

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Average: 6.6 (1 vote)
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Essays by user swapnil.paliwal :

Comments

Grammar and spelling errors:
Line 1, column 110, Rule ID: MANY_NN[1]
Message: Possible agreement error. The noun want seems to be countable; consider using: 'many wants'.
Suggestion: many wants
...bution in the field. It is obvious that many want to expand the prior art knowledge by em...
^^^^^^^^^
Line 5, column 1927, Rule ID: POSSESIVE_APOSTROPHE[1]
Message: Possible typo: apostrophe is missing. Did you mean 'todays'' or 'today's'?
Suggestion: todays'; today's
...ber line, the same will be ridiculed by todays scientist which was championed and acce...
^^^^^^
Line 9, column 396, Rule ID: A_PLURAL[2]
Message: Don't use indefinite articles with plural words. Did you mean 'framework'?
Suggestion: framework
..., as they help them in developing a new frameworks, approaches and schemes of much greater...
^^^^^^^^^^
Line 9, column 531, Rule ID: IN_1990s[1]
Message: The article is probably missing here: 'in the 1970s'.
Suggestion: in the 1970s
...Hellman proposed an open ended question in 1970s stating a need for an algorithm which c...
^^^^^^^^
Line 9, column 709, Rule ID: MANY_NN[1]
Message: Possible agreement error. The noun Ron seems to be countable; consider using: 'few Ra'.
Suggestion: few Ra
... intellects of the time and amongst the few Ron Rivest was the one who came up with the...
^^^^^^^

Transition Words or Phrases used:
actually, but, conversely, finally, first, however, if, so, then, thus, whereas, for instance, no doubt, in many cases

Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments

Performance on Part of Speech:
To be verbs : 62.0 19.5258426966 318% => Less to be verbs wanted.
Auxiliary verbs: 22.0 12.4196629213 177% => OK
Conjunction : 29.0 14.8657303371 195% => OK
Relative clauses : 34.0 11.3162921348 300% => Less relative clauses wanted (maybe 'which' is over used).
Pronoun: 46.0 33.0505617978 139% => Less pronouns wanted
Preposition: 93.0 58.6224719101 159% => OK
Nominalization: 35.0 12.9106741573 271% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.

Performance on vocabulary words:
No of characters: 5119.0 2235.4752809 229% => Less number of characters wanted.
No of words: 990.0 442.535393258 224% => Less content wanted.
Chars per words: 5.17070707071 5.05705443957 102% => OK
Fourth root words length: 5.60930168961 4.55969084622 123% => OK
Word Length SD: 2.93257026695 2.79657885939 105% => OK
Unique words: 445.0 215.323595506 207% => Less unique words wanted.
Unique words percentage: 0.449494949495 0.4932671777 91% => More unique words wanted or less content wanted.
syllable_count: 1620.9 704.065955056 230% => syllable counts are too long.
avg_syllables_per_word: 1.6 1.59117977528 101% => OK

A sentence (or a clause, phrase) starts by:
Pronoun: 15.0 6.24550561798 240% => Less pronouns wanted as sentence beginning.
Article: 11.0 4.99550561798 220% => Less articles wanted as sentence beginning.
Subordination: 2.0 3.10617977528 64% => OK
Conjunction: 2.0 1.77640449438 113% => OK
Preposition: 2.0 4.38483146067 46% => More preposition wanted as sentence beginning.

Performance on sentences:
How many sentences: 22.0 20.2370786517 109% => OK
Sentence length: 45.0 23.0359550562 195% => The Avg. Sentence Length is relatively long.
Sentence length SD: 200.032564498 60.3974514979 331% => The lengths of sentences changed so frequently.
Chars per sentence: 232.681818182 118.986275619 196% => OK
Words per sentence: 45.0 23.4991977007 191% => OK
Discourse Markers: 5.36363636364 5.21951772744 103% => OK
Paragraphs: 4.0 4.97078651685 80% => OK
Language errors: 5.0 7.80617977528 64% => OK
Sentences with positive sentiment : 14.0 10.2758426966 136% => OK
Sentences with negative sentiment : 8.0 5.13820224719 156% => OK
Sentences with neutral sentiment: 0.0 4.83258426966 0% => More facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?

Coherence and Cohesion:
Essay topic to essay body coherence: 0.136407599154 0.243740707755 56% => OK
Sentence topic coherence: 0.0509535254873 0.0831039109588 61% => OK
Sentence topic coherence SD: 0.0633856940212 0.0758088955206 84% => OK
Paragraph topic coherence: 0.0930291011572 0.150359130593 62% => OK
Paragraph topic coherence SD: 0.0372581232473 0.0667264976115 56% => OK

Essay readability:
automated_readability_index: 25.4 14.1392134831 180% => OK
flesch_reading_ease: 25.8 48.8420337079 53% => Flesch_reading_ease is low.
smog_index: 13.0 7.92365168539 164% => OK
flesch_kincaid_grade: 20.8 12.1743820225 171% => OK
coleman_liau_index: 13.59 12.1639044944 112% => OK
dale_chall_readability_score: 10.24 8.38706741573 122% => OK
difficult_words: 274.0 100.480337079 273% => Less difficult words wanted.
linsear_write_formula: 15.0 11.8971910112 126% => OK
gunning_fog: 20.0 11.2143820225 178% => OK
text_standard: 13.0 11.7820224719 110% => OK
What are above readability scores?

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Write the essay in 30 minutes.
Better to have 5/6 paragraphs with 3/4 arguments. And try always support/against one side but compare two sides, like this:

para 1: introduction
para 2: reason 1. address both of the views presented for reason 1
para 3: reason 2. address both of the views presented for reason 2
para 4: reason 3. address both of the views presented for reason 3
para 5: reason 4. address both of the views presented for reason 4 (optional)
para 6: conclusion.


Rates: 66.67 out of 100
Scores by essay e-grader: 4.0 Out of 6
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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.