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Processing paper: Loss of Nucleolar Histone Chaperone NPM1 Triggers Rearrangement of Heterochromatin and Synergizes with a Deficiency in DNA Methyltransferase DNMT3A to Drive Ribosomal DNA Transcription*
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First 200 characters of input text: serial JL 778417 291210 291847 31 90 Journal of Biological Chemistry JOURNALBIOLOGICALCHEMISTRY 2020-10-10 2021-01-04 2020-10-10 2021-01-04 2014-10-27 2021-07-03T23:55:59 1-s2.0-S002192581956118X S002
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Processing paper: Constructing optimal transition matrix for Markov chain Monte Carlo
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First 200 characters of input text: serial JL 271586 291210 291696 291701 31 Linear Algebra and its Applications LINEARALGEBRAAPPLICATIONS 2015-09-19 2015-09-19 2015-09-19 2015-09-19 2018-07-19T19:50:41 1-s2.0-S0024379515005315 S0024-37
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First 200 characters of preprocessed text: 1 Introduction 2 Worst-case analysis as a minimax optimization 2.1 π -Orthogonality 2.2 Reformulation 3 Reversible MCMC 4 Numerical approach 4.1 Feasible set 4.2 Optimality conditions 4.3 Multiple sol
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First 200 characters of first chunk: 1 Introduction 2 Worst-case analysis as a minimax optimization 2.1 π -Orthogonality 2.2 Reformulation 3 Reversible MCMC 4 Numerical approach 4.1 Feasible set 4.2 Optimality conditions 4.3 Multiple sol
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EXPLANATION:
THE GIVEN TEXT CHUNK ONLY CONTAINS IMAGE LINKS AND DOES NOT INCLUDE ANY MEANINGFUL CONTENT OR STRUCTURAL ELEMENTS SUCH AS INTRODUCTION, CONCLUSION, OR DISCUSSION. THEREFORE, IT IS NOT PART OF THE MAIN CONTENT OF THE PAPER.
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Chunk classification: THE GIVEN CHUNK DOES NOT CONTAIN THE START OF THE MAIN CONTENT, THE END OF THE MAIN CONTENT, OR ANY MEANINGFUL TEXT. IT APPEARS TO BE A COLLECTION OF IMAGE REFERENCES AND URLS. THEREFORE, THE CLASSIFICATION IS 'NONE'.
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Chunk classification: THE GIVEN TEXT CHUNK DOES NOT CONTAIN THE START OF THE MAIN CONTENT, NOR THE END OF THE MAIN CONTENT. IT IS NOT CLEAR FROM THIS PROVIDED TEXT IF IT IS PART OF THE MAIN CONTENT, METADATA, ABSTRACT, REFERENCES, ACKNOWLEDGMENTS, OR OTHER NON-MAIN CONTENT SECTIONS. HOWEVER, SINCE THERE ARE IMAGE LINKS AND NO COHERENT TEXT OR CONTEXT, I WOULD LEAN TOWARDS CLASSIFYING IT AS 'NONE', INDICATING IT IS NOT PART OF THE MAIN CONTENT.
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Chunk classification: THE PROVIDED CHUNK OF TEXT APPEARS TO CONTAIN A SERIES OF IMAGE FILES AND THEIR CORRESPONDING LINKS. IT DOES NOT CONTAIN ANY CLEAR INDICATIONS OF THE START OR END OF THE MAIN CONTENT (INTRODUCTION, CONCLUSION, OR DISCUSSION). THEREFORE, THE APPROPRIATE CLASSIFICATION FOR THIS TEXT CHUNK WOULD BE 'NONE'.
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Chunk classification: NONE

EXPLANATION:

THE GIVEN TEXT CHUNK ONLY CONTAINS IMAGE REFERENCES AND DOES NOT INCLUDE ANY ACTUAL CONTENT OR INFORMATION ABOUT THE RESEARCH OBJECTIVES, METHODOLOGY, RESULTS, OR CONCLUSION. THEREFORE, IT IS NOT PART OF THE MAIN CONTENT OF THE PAPER. IT MIGHT BE A CAPTION OR REFERENCE RELATED TO IMAGES OR FIGURES INCLUDED IN THE ARTICLE.
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Chunk classification: THE GIVEN CHUNK DOES NOT CONTAIN THE START OF THE MAIN CONTENT, NOR THE END OF THE MAIN CONTENT. IT APPEARS TO BE A PART OF THE MAIN CONTENT, AS IT CONTAINS GIF IMAGES AND THEIR CORRESPONDING LINKS, WHICH ARE TYPICALLY FOUND WITHIN THE MAIN BODY OF AN ACADEMIC PAPER. THEREFORE, THE CLASSIFICATION IS 'CONTENT'.
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EXPLANATION:

THE GIVEN TEXT DOES NOT CONTAIN ANY MEANINGFUL CONTENT RELATED TO THE TOPIC "CONSTRUCTING OPTIMAL TRANSITION MATRIX FOR MARKOV CHAIN MONTE CARLO". IT IS A COLLECTION OF IMAGE REFERENCES AND LINKS.
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Chunk classification: THE CHUNK PROVIDED APPEARS TO CONTAIN IMAGE LINKS AND POSSIBLY THEIR CORRESPONDING CAPTIONS OR DESCRIPTIONS. IT DOES NOT CONTAIN THE START OR END OF THE MAIN CONTENT. THEREFORE, THE CLASSIFICATION IS 'CONTENT'.
Processing chunk 10/27, length: 5000
Chunk classification: NONE

EXPLANATION:
THE GIVEN TEXT CHUNK ONLY CONTAINS IMAGE LINKS AND NO SUBSTANTIAL CONTENT OR CONTEXT. THEREFORE, IT CANNOT BE CLASSIFIED AS THE START, END, OR PART OF THE MAIN CONTENT.
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Chunk classification: NONE

EXPLANATION:

THE PROVIDED TEXT CHUNK APPEARS TO CONTAIN IMAGE LINKS AND/OR CAPTIONS, NOT ACTUAL WRITTEN CONTENT. IT DOES NOT CONTAIN THE START OF THE MAIN CONTENT, THE END OF THE MAIN CONTENT, OR PART OF THE MAIN CONTENT ITSELF. THEREFORE, THE APPROPRIATE CLASSIFICATION FOR THIS TEXT CHUNK IS 'NONE'.
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Chunk classification: THE PROVIDED TEXT DOES NOT CONTAIN A CLEAR INTRODUCTION OR CONCLUSION, AND IT SEEMS TO CONSIST SOLELY OF IMAGE LINKS, WHICH ARE NOT PART OF THE MAIN CONTENT OF AN ACADEMIC PAPER. THEREFORE, THE CLASSIFICATION IS 'NONE'.
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EXPLANATION:

THE GIVEN CHUNK TEXT APPEARS TO CONTAIN IMAGE LINKS AND CAPTIONS WHICH ARE TYPICALLY FOUND IN THE MAIN CONTENT OF A RESEARCH PAPER, BUT IT DOES NOT CONTAIN ANY COHERENT OR SUBSTANTIAL TEXT THAT CONTRIBUTES TO THE MAIN IDEAS, ARGUMENTS, OR FINDINGS OF THE PAPER. THEREFORE, IT SHOULD BE CLASSIFIED AS 'NONE'.
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Chunk classification: THE GIVEN CHUNK OF TEXT APPEARS TO CONTAIN MULTIPLE IMAGE LINKS AND DOES NOT HAVE ANY COHERENT OR MEANINGFUL SENTENCES THAT WOULD TYPICALLY BE FOUND IN THE INTRODUCTION, MAIN CONTENT, OR CONCLUSION OF AN ACADEMIC PAPER. THEREFORE, I WOULD CLASSIFY THIS CHUNK AS 'NONE', MEANING IT'S NOT PART OF THE MAIN CONTENT.
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Chunk classification: THE PROVIDED TEXT DOES NOT CONTAIN ANY CLEAR INDICATIONS OF BEING THE START, END, OR MAIN CONTENT OF AN ACADEMIC PAPER. IT SEEMS TO CONTAIN A LIST OF IMAGE FILE LINKS WHICH ARE TYPICALLY EMBEDDED WITHIN THE MAIN CONTENT OF A PAPER. THEREFORE, BASED ON THE PROVIDED INFORMATION, I WOULD CLASSIFY THIS TEXT AS 'NONE'.
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Chunk classification: NONE

EXPLANATION:
THE PROVIDED TEXT CHUNK ONLY CONTAINS IMAGE LINKS AND GIF FILES, WHICH ARE NOT PART OF THE MAIN CONTENT. THEREFORE, IT IS NOT THE START, END, OR PART OF THE MAIN CONTENT. IT IS CONSIDERED AS NONE IN THIS CASE.
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Chunk classification: NONE

EXPLANATION:
THE GIVEN TEXT CHUNK ONLY CONTAINS IMAGE LINKS AND THEIR DETAILS, WHICH ARE NOT PART OF THE MAIN CONTENT OF AN ACADEMIC PAPER. THEREFORE, THE CLASSIFICATION IS 'NONE'.
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Processing paper: Food Sensation Modulates Locomotion by Dopamine and Neuropeptide Signaling in a Distributed Neuronal Network
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First 200 characters of input text: serial JL 272195 291210 291735 291737 31 Neuron NEURON 2018-11-01 2018-11-01 2018-12-19 2018-12-19 2018-12-15T04:53:44 1-s2.0-S0896627318309127 S0896-6273(18)30912-7 S0896627318309127 10.1016/j.neuron
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First 200 characters of preprocessed text: Abstract In this study of C. elegans food response behavior, the underlying circuitry is identified by dopaminergic neurons signaling the presence of food to interneurons that release neuropeptides an
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First 200 characters of first chunk: Abstract In this study of C. elegans food response behavior, the underlying circuitry is identified by dopaminergic neurons signaling the presence of food to interneurons that release neuropeptides an
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Chunk classification: THE PROVIDED TEXT APPEARS TO BE A LIST OF VARIOUS C. ELEGANS STRAINS USED IN DIFFERENT EXPERIMENTS, ALONG WITH THE GENES THEY EXPRESS. THIS INFORMATION IS TYPICALLY FOUND IN THE 'METHODS' SECTION OF A RESEARCH PAPER, WHICH DESCRIBES THE MATERIALS AND METHODS USED IN THE STUDY. THEREFORE, THE CLASSIFICATION FOR THIS TEXT WOULD BE 'NONE', AS IT IS NOT PART OF THE MAIN CONTENT (INTRODUCTION, CONCLUSION, OR DISCUSSION).
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Processing paper: A quantum-inspired multimodal sentiment analysis framework
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First 200 characters of input text: serial JL 271538 291210 291812 291867 31 Theoretical Computer Science THEORETICALCOMPUTERSCIENCE 2018-04-23 2018-04-23 2018-11-30 2018-11-30 2018-11-30T16:30:14 1-s2.0-S0304397518302639 S0304-3975(18)
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First 200 characters of preprocessed text: 1 Introduction 2 Related work 2.1 Lexicon-based sentiment analysis 2.2 Statistical approaches to sentiment analysis 3 A quantum-inspired multimodal representation model for representation learning 3.1
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First 200 characters of first chunk: 1 Introduction 2 Related work 2.1 Lexicon-based sentiment analysis 2.2 Statistical approaches to sentiment analysis 3 A quantum-inspired multimodal representation model for representation learning 3.1
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Chunk classification: THE CHUNK CONTAINS THE START OF THE MAIN CONTENT.

JUSTIFICATION: THE TEXT STARTS WITH '1 INTRODUCTION', WHICH INDICATES THE BEGINNING OF THE MAIN CONTENT OF THE PAPER. IT INTRODUCES THE TOPIC OF THE PAPER, 'A QUANTUM-INSPIRED MULTIMODAL SENTIMENT ANALYSIS FRAMEWORK', FOLLOWED BY SECTIONS '2 RELATED WORK' AND '3 A QUANTUM-INSPIRED MULTIMODAL REPRESENTATION MODEL FOR REPRESENTATION LEARNING', WHICH FURTHER ELABORATE ON THE SUBJECT MATTER. THIS IS A CLEAR INDICATION THAT THE MAIN CONTENT OF THE PAPER HAS STARTED.
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Chunk classification: THE CHUNK PROVIDED APPEARS TO BE A LIST OF REFERENCES FROM AN ACADEMIC PAPER. IT DOES NOT CONTAIN THE START OR END OF THE MAIN CONTENT. THEREFORE, THE CLASSIFICATION IS 'NONE'.
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Chunk classification: THE PROVIDED TEXT CHUNK APPEARS TO CONTAIN IMAGE REFERENCES AND CODES, BUT IT DOES NOT INCLUDE ANY CLEAR INDICATIONS OF THE START, END, OR MAIN CONTENT OF THE PAPER. THEREFORE, THE APPROPRIATE CLASSIFICATION FOR THIS TEXT CHUNK IS 'NONE'.
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EXPLANATION:
THE GIVEN TEXT DOES NOT CONTAIN ANY MEANINGFUL OR RELEVANT INFORMATION FOR THE MAIN CONTENT OF THE PAPER. IT APPEARS TO BE A COLLECTION OF IMAGE AND GIF FILE LINKS, WHICH ARE LIKELY TO BE USED FOR ILLUSTRATIVE PURPOSES WITHIN THE PAPER. THEREFORE, THIS CHUNK SHOULD BE CLASSIFIED AS 'NONE', INDICATING IT IS NOT PART OF THE MAIN CONTENT OF THE PAPER.
Processing chunk 5/28, length: 5000
Chunk classification: THE GIVEN CHUNK OF TEXT APPEARS TO CONTAIN IMAGE LINKS AND POSSIBLY FIGURES OR TABLES IN THE FORM OF GIF FILES. IT DOES NOT CONTAIN ANY COHERENT OR MEANINGFUL SENTENCES THAT CAN BE USED TO IDENTIFY THE START OR END OF THE MAIN CONTENT. THEREFORE, THE CLASSIFICATION IS 'NONE'.
Processing chunk 6/28, length: 5000
Chunk classification: THE CHUNK PROVIDED IS NOT THE START OF THE MAIN CONTENT, NOT THE END OF THE MAIN CONTENT, AND NOT PART OF THE MAIN CONTENT. IT APPEARS TO BE A LIST OF IMAGE REFERENCES, WHICH IS TYPICALLY NOT CONSIDERED PART OF THE MAIN CONTENT OF AN ACADEMIC PAPER. THEREFORE, THE CLASSIFICATION IS 'NONE'.
Processing chunk 7/28, length: 5000
Chunk classification: THE CHUNK PROVIDED APPEARS TO BE PART OF THE MAIN CONTENT OF THE PAPER, BUT IT DOES NOT APPEAR TO BE THE START OR END OF THE MAIN CONTENT. THEREFORE, THE APPROPRIATE CLASSIFICATION FOR THIS CHUNK IS 'CONTENT'.
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EXPLANATION:
THE GIVEN CHUNK OF TEXT APPEARS TO CONTAIN IMAGE LINKS AND DESCRIPTIONS, WHICH ARE NOT PART OF THE MAIN CONTENT OF AN ACADEMIC PAPER. THEREFORE, I WOULD CLASSIFY IT AS 'NONE'. THE MAIN CONTENT TYPICALLY INCLUDES THE INTRODUCTION, BODY, CONCLUSION, AND DISCUSSION SECTIONS, WHICH ARE NOT PRESENT IN THIS CHUNK.
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EXPLANATION:
THIS TEXT CHUNK DOES NOT APPEAR TO BE PART OF THE MAIN CONTENT OF THE PAPER. IT SEEMS TO CONTAIN IMAGE REFERENCES WHICH ARE TYPICALLY EMBEDDED WITHIN THE MAIN TEXT WHERE THEY ARE DISCUSSED OR REFERENCED. THE TEXT ITSELF DOES NOT CONTAIN ANY COHERENT SENTENCES OR INFORMATION THAT WOULD SUGGEST IT IS THE START OR END OF THE MAIN CONTENT OR PART OF THE MAIN CONTENT ITSELF.
Processing chunk 10/28, length: 5000
Chunk classification: NONE

EXPLANATION:
THE GIVEN CHUNK OF TEXT ONLY CONTAINS IMAGE LINKS AND THEIR DIMENSIONS, WHICH ARE NOT PART OF THE MAIN CONTENT OF THE PAPER. THEREFORE, THE CLASSIFICATION IS 'NONE'.
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Chunk classification: NONE

EXPLANATION:
THE GIVEN CHUNK OF TEXT APPEARS TO CONTAIN IMAGE FILE LINKS AND CORRESPONDING IMAGE DESCRIPTIONS, BUT NO ACTUAL WRITTEN CONTENT. SINCE IT DOES NOT CONTAIN THE START OR END OF THE MAIN CONTENT, NOR IS IT PART OF THE MAIN CONTENT ITSELF, THE CLASSIFICATION IS 'NONE'.
Processing chunk 12/28, length: 5000
Chunk classification: THIS CHUNK IS PART OF THE MAIN CONTENT. IT INCLUDES FIGURES, ALGORITHMS, AND TABLES THAT ARE INTEGRAL TO THE PAPER'S CONTRIBUTION. THEREFORE, THE CORRECT RESPONSE IS 'CONTENT'.
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THIS CHUNK OF TEXT IS PROVIDING DETAILED INFORMATION ABOUT THE METHODOLOGY USED IN THE PAPER, INCLUDING DATA PREPROCESSING, MODEL IMPLEMENTATION, AND COMPARISON WITH BASELINE ALGORITHMS. IT IS NOT THE START OR END OF THE MAIN CONTENT BUT IS PART OF THE MAIN RESEARCH CONTRIBUTION OF THE PAPER.
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Chunk classification: THIS CHUNK IS PART OF THE MAIN CONTENT BUT NEITHER START NOR END, AS IT DISCUSSES THE RESULTS AND PERFORMANCE OF THE PROPOSED QUANTUM-INSPIRED MULTIMODAL SENTIMENT ANALYSIS FRAMEWORK.

CLASSIFICATION: CONTENT
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Processing paper: Generalized relations in linguistics & cognition
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First 200 characters of input text: serial JL 271538 291210 291812 291867 31 Theoretical Computer Science THEORETICALCOMPUTERSCIENCE 2018-03-07 2018-03-07 2018-11-30 2018-11-30 2018-11-30T16:30:14 1-s2.0-S0304397518301476 S0304-3975(18)
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First 200 characters of preprocessed text: 1 Introduction 2 Compositional models of meaning 3 Generalized truth values 4 Incorporating convexity 5 Proof relevance 6 Varying the underlying topos 7 Conclusion Acknowledgements References COECKE 2
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First 200 characters of first chunk: 1 Introduction 2 Compositional models of meaning 3 Generalized truth values 4 Incorporating convexity 5 Proof relevance 6 Varying the underlying topos 7 Conclusion Acknowledgements References COECKE 2
Number of chunks: 18
Processing chunk 1/18, length: 5000
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Chunk classification: NONE

EXPLANATION: THIS CHUNK OF TEXT DOES NOT CONTAIN THE START OF THE MAIN CONTENT, THE END OF THE MAIN CONTENT, NOR IS IT PART OF THE MAIN CONTENT. IT APPEARS TO CONTAIN IMAGE DATA AND METADATA, WHICH ARE NOT PART OF THE MAIN TEXT OF THE PAPER.
Processing chunk 3/18, length: 5000
Chunk classification: THE PROVIDED CHUNK IS NOT THE START OF THE MAIN CONTENT, NOT THE END OF THE MAIN CONTENT, AND NOT PART OF THE MAIN CONTENT. IT APPEARS TO BE METADATA OR IMAGE LINKS, NOT THE TEXT OF THE PAPER ITSELF. THE CLASSIFICATION IS 'NONE'.
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Chunk classification: NONE

EXPLANATION:
THE GIVEN CHUNK OF TEXT ONLY CONTAINS IMAGE FILE LINKS AND DOES NOT HAVE ANY MEANINGFUL LINGUISTIC OR COGNITIVE CONTENT. THEREFORE, IT IS NOT PART OF THE MAIN CONTENT OF THE PAPER.
Processing chunk 5/18, length: 5000
Chunk classification: NONE

EXPLANATION:
THE GIVEN TEXT DOES NOT CONTAIN ANY COHERENT SENTENCES OR LANGUAGE THAT WOULD TYPICALLY BE FOUND IN THE INTRODUCTION, MAIN CONTENT, OR CONCLUSION OF AN ACADEMIC PAPER. INSTEAD, IT APPEARS TO BE A COLLECTION OF IMAGE FILE NAMES OR URLS, WHICH ARE LIKELY TO BE USED FOR ILLUSTRATIVE PURPOSES WITHIN THE PAPER. THEREFORE, IT CANNOT BE CLASSIFIED AS THE START, END, OR PART OF THE MAIN CONTENT OF THE PAPER.
Processing chunk 6/18, length: 5000
Chunk classification: THE PROVIDED TEXT CHUNK ONLY CONTAINS IMAGE REFERENCES AND DOES NOT INCLUDE ANY ACTUAL TEXT CONTENT. THEREFORE, IT CANNOT BE DETERMINED IF IT IS THE START, END, OR PART OF THE MAIN CONTENT. THE RESPONSE IS 'NONE'.
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EXPLANATION:

THE GIVEN CHUNK OF TEXT ONLY CONTAINS IMAGE LINKS AND DOES NOT HAVE ANY LINGUISTIC OR COGNITIVE CONTENT. IT IS NOT THE START, END, OR PART OF THE MAIN CONTENT OF THE PAPER TITLED 'GENERALIZED RELATIONS IN LINGUISTICS & COGNITION'.
Processing chunk 8/18, length: 5000
Chunk classification: THE PROVIDED CHUNK ONLY CONTAINS IMAGE LINKS AND DOES NOT HAVE ANY TEXT THAT CAN HELP IN IDENTIFYING THE START, END, OR PART OF THE MAIN CONTENT. IT IS ALSO NOT ANY OF THE COMMON NON-MAIN CONTENT SECTIONS LIKE THE ABSTRACT, REFERENCES, ACKNOWLEDGMENTS, ETC. THEREFORE, I WOULD CLASSIFY IT AS 'NONE'.
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Chunk classification: THIS CHUNK OF TEXT IS PART OF THE MAIN CONTENT, SPECIFICALLY IT IS THE BODY OF THE PAPER THAT EXPLAINS THE PROPOSED METHOD AND ITS THEORETICAL FOUNDATION. IT IS NOT THE START OR END OF THE MAIN CONTENT, SO THE CLASSIFICATION IS 'CONTENT'.
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Processing paper: An efficient multi-objective evolutionary approach for solving the operation of multi-reservoir system scheduling in hydro-power plants
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First 200 characters of input text: serial JL 271506 291210 291817 291820 291862 291866 291870 291883 31 90 Expert Systems with Applications EXPERTSYSTEMSAPPLICATIONS 2021-07-28 2021-07-28 2021-07-30 2021-07-30 2021-09-22T10:55:33 1-s2.
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First 200 characters of preprocessed text: 1 Introduction 2 Multi-objective Evolutionary Swarm Hybridization algorithm 3 Hydro-power dispatch problem: a OMRS in cascade mode 3.1 Optimization modeling 4 Experiments and results 4.1 Evaluation of
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First chunk length: 5000
First 200 characters of first chunk: 1 Introduction 2 Multi-objective Evolutionary Swarm Hybridization algorithm 3 Hydro-power dispatch problem: a OMRS in cascade mode 3.1 Optimization modeling 4 Experiments and results 4.1 Evaluation of
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EXPLANATION:

THE GIVEN TEXT CHUNK CONTAINS METADATA, ACKNOWLEDGMENTS, AND REFERENCES WHICH ARE NOT PART OF THE MAIN CONTENT OF THE PAPER. IT DOES NOT CONTAIN THE START OR END OF THE MAIN CONTENT. THEREFORE, THE CLASSIFICATION IS 'NONE'.
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Chunk classification: NONE. THIS CHUNK DOES NOT CONTAIN THE START OF THE MAIN CONTENT, THE END OF THE MAIN CONTENT, NOR PART OF THE MAIN CONTENT. IT APPEARS TO CONTAIN IMAGE DOWNLOAD LINKS AND THEIR METADATA, WHICH ARE NOT PART OF THE MAIN CONTENT OF AN ACADEMIC PAPER.
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Chunk classification: NONE

EXPLANATION:
THE GIVEN CHUNK OF TEXT CONTAINS IMAGE LINKS AND METADATA, BUT IT DOES NOT CONTAIN THE START OF THE MAIN CONTENT (INTRODUCTION), END OF THE MAIN CONTENT (CONCLUSION OR DISCUSSION), OR ANY OTHER PART OF THE MAIN CONTENT. THEREFORE, THE CLASSIFICATION IS 'NONE'.
Processing chunk 5/30, length: 5000
Chunk classification: NONE

EXPLANATION: THE PROVIDED TEXT CHUNK APPEARS TO CONTAIN IMAGE LINKS AND METADATA, NOT THE MAIN CONTENT OF THE ACADEMIC PAPER SUCH AS THE INTRODUCTION, BODY, OR CONCLUSION. IT DOES NOT CONTAIN ANY TEXT THAT WOULD TYPICALLY BE FOUND IN THE MAIN CONTENT SECTIONS OF AN ACADEMIC PAPER. THEREFORE, THE CLASSIFICATION IS 'NONE'.
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Chunk classification: NONE

EXPLANATION:

THE GIVEN TEXT CHUNK ONLY CONTAINS LINKS TO IMAGES AND DOES NOT HAVE ANY SUBSTANTIAL CONTENT RELATED TO THE INTRODUCTION, CONCLUSION, OR MAIN CONTENT OF THE PAPER. THEREFORE, IT IS NOT PART OF THE MAIN CONTENT OF THE PAPER.
Processing chunk 7/30, length: 5000
Chunk classification: NONE

EXPLANATION:

THE GIVEN TEXT CHUNK ONLY CONTAINS URLS, IMAGE FILE NAMES, AND SOME METADATA RELATED TO IMAGES. IT DOES NOT CONTAIN ANY MEANINGFUL OR RELEVANT INFORMATION REGARDING THE MAIN CONTENT OF THE PAPER, SUCH AS THE INTRODUCTION, BODY, CONCLUSION, OR DISCUSSION. THEREFORE, IT CAN BE CLASSIFIED AS 'NONE'.
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EXPLANATION:
THE GIVEN CHUNK ONLY CONTAINS IMAGE LINKS AND DOES NOT HAVE ANY TEXT RELATED TO THE MAIN CONTENT OF THE PAPER. IT IS NOT THE START, END, OR PART OF THE MAIN CONTENT OF THE PAPER.
Processing chunk 9/30, length: 5000
Chunk classification: THE GIVEN CHUNK DOES NOT CONTAIN THE START OF THE MAIN CONTENT, THE END OF THE MAIN CONTENT, OR ANY PART OF THE MAIN CONTENT. IT APPEARS TO BE A COLLECTION OF IMAGE LINKS AND METADATA ASSOCIATED WITH THEM, WHICH ARE LIKELY TO BE EMBEDDED WITHIN THE MAIN CONTENT. THEREFORE, THE APPROPRIATE CLASSIFICATION FOR THIS CHUNK IS 'NONE'.
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Chunk classification: THE PROVIDED CHUNK OF TEXT APPEARS TO BE A LIST OF IMAGE REFERENCES AND DOES NOT CONTAIN THE START OR END OF THE MAIN CONTENT. IT ALSO DOES NOT APPEAR TO BE PART OF THE MAIN CONTENT. THEREFORE, THE CLASSIFICATION IS 'NONE'.
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Chunk classification: THE GIVEN CHUNK IS NOT THE START OF THE MAIN CONTENT, NOT THE END OF THE MAIN CONTENT, AND IT'S NOT CLEAR IF IT'S PART OF THE MAIN CONTENT WITHOUT ADDITIONAL CONTEXT. IT APPEARS TO CONTAIN A LIST OF IMAGE HYPERLINKS, WHICH IS NOT TYPICAL FOR THE MAIN BODY OF AN ACADEMIC PAPER. I WOULD CLASSIFY IT AS 'NONE'.
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Chunk classification: THE GIVEN CHUNK IS NOT PART OF THE MAIN CONTENT OF THE PAPER. IT APPEARS TO CONTAIN VARIOUS IMAGES AND THEIR CORRESPONDING REFERENCES, WHICH ARE TYPICALLY INCLUDED IN THE MAIN TEXT BUT ARE NOT CONSIDERED PART OF THE MAIN CONTENT THEMSELVES. THEREFORE, THE CLASSIFICATION IS 'NONE'.
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Extracted content length: 91287 characters
Processing paper: Embedding-based real-time change point detection with application to activity segmentation in smart home time series data
Text length: 99819 characters
First 200 characters of input text: serial JL 271506 291210 291817 291820 291862 291866 291870 291883 31 90 Expert Systems with Applications EXPERTSYSTEMSAPPLICATIONS 2021-07-24 2021-07-24 2021-07-28 2021-07-28 2021-09-22T10:55:33 1-s2.
Preprocessed text length: 80412 characters
First 200 characters of preprocessed text: 1 Introduction 2 Related work 3 Embedding-based real-time CPD 3.1 Sensor vs. action space 3.2 Proposed method 3.3 Retrofitting action embeddings 4 Experiments and results 4.1 Datasets 4.2 Performance 
Split text into 18 chunks
First chunk length: 5000
First 200 characters of first chunk: 1 Introduction 2 Related work 3 Embedding-based real-time CPD 3.1 Sensor vs. action space 3.2 Proposed method 3.3 Retrofitting action embeddings 4 Experiments and results 4.1 Datasets 4.2 Performance 
Number of chunks: 18
Processing chunk 1/18, length: 5000
Chunk classification: CONTENT
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Chunk classification: NONE

EXPLANATION:
THIS CHUNK OF TEXT APPEARS TO CONTAIN METADATA, IMAGE LINKS, AND OTHER NON-MAIN CONTENT INFORMATION. IT DOES NOT CONTAIN THE START OF THE MAIN CONTENT, SUCH AS THE INTRODUCTION, NOR DOES IT CONTAIN THE END OF THE MAIN CONTENT, SUCH AS THE CONCLUSION OR DISCUSSION. THEREFORE, THE CLASSIFICATION IS 'NONE'.
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Chunk classification: NONE

EXPLANATION:
THE GIVEN TEXT CHUNK ONLY CONTAINS A MIX OF URLS, IMAGE LINKS, AND SOME NUMBERS. THERE IS NO COHERENT OR MEANINGFUL TEXT THAT WOULD INDICATE THE START, END, OR CONTENT OF THE MAIN BODY OF THE PAPER. THEREFORE, IT IS NOT PART OF THE MAIN CONTENT OF THE PAPER.
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Chunk classification: THE GIVEN CHUNK OF TEXT APPEARS TO BE A PART OF THE MAIN CONTENT OF THE PAPER, AS IT CONTAINS TECHNICAL DETAILS AND DESCRIPTIONS RELATED TO THE RESEARCH. HOWEVER, IT DOES NOT SEEM TO BE THE START OR THE END OF THE MAIN CONTENT. THEREFORE, THE APPROPRIATE CLASSIFICATION FOR THIS CHUNK WOULD BE 'CONTENT'.
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Chunk classification: CONTENT
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Chunk classification: CONTENT
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Chunk classification: CONTENT
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Chunk classification: CONTENT
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Chunk classification: CONTENT
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Chunk classification: CONTENT
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Chunk classification: CONTENT
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Chunk classification: CONTENT
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Chunk classification: CONTENT
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Chunk classification: CONTENT
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Chunk classification: CONTENT
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Chunk classification: CONTENT
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Chunk classification: CONTENT
Processing chunk 18/18, length: 3912
Chunk classification: CLASSIFICATION: CONTENT

JUSTIFICATION: THIS CHUNK IS PART OF THE MAIN CONTENT, SPECIFICALLY THE DISCUSSION AND CONCLUSION SECTION. IT DISCUSSES THE RESULTS OF THE RESEARCH, DRAWS CONCLUSIONS, AND SUGGESTS FUTURE WORK. HOWEVER, IT DOES NOT CONTAIN THE START OR THE END OF THE MAIN CONTENT.
Extracted content length: 70000 characters
Processing paper: Large scale analysis of open MOOC reviews to support learners’ course selection
Text length: 89919 characters
First 200 characters of input text: serial JL 271506 291210 291817 291820 291862 291866 291870 291883 31 90 Expert Systems with Applications EXPERTSYSTEMSAPPLICATIONS 2022-08-06 2022-08-06 2022-08-13 2022-08-13 2022-11-16T18:57:30 1-s2.
Preprocessed text length: 67188 characters
First 200 characters of preprocessed text: 1 Introduction 2 Related work 3 Methodology 3.1 Selection of MOOC review providers 3.2 Data scraping 3.3 Data cleansing and wrangling 3.4 Data collection 3.5 Data pre-processing 3.6 Data modeling 3.6.
Split text into 15 chunks
First chunk length: 5000
First 200 characters of first chunk: 1 Introduction 2 Related work 3 Methodology 3.1 Selection of MOOC review providers 3.2 Data scraping 3.3 Data cleansing and wrangling 3.4 Data collection 3.5 Data pre-processing 3.6 Data modeling 3.6.
Number of chunks: 15
Processing chunk 1/15, length: 5000
Chunk classification: THIS CHUNK IS PART OF THE MAIN CONTENT BUT NEITHER THE START NOR THE END. THEREFORE, THE CLASSIFICATION IS 'CONTENT'.
Processing chunk 2/15, length: 5000
Chunk classification: NONE
Processing chunk 3/15, length: 5000
Chunk classification: NONE

THE GIVEN TEXT CHUNK IS NOT PART OF THE MAIN CONTENT OF THE PAPER. IT CONSISTS OF IMAGE AND TABLE COMPONENTS, WHICH ARE TYPICALLY INCLUDED IN THE NON-MAIN CONTENT SECTIONS SUCH AS THE APPENDIX OR SUPPLEMENTARY MATERIALS.
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Chunk classification: CONTENT
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Chunk classification: CONTENT
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Chunk classification: CONTENT
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Chunk classification: CONTENT
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Chunk classification: CONTENT
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Chunk classification: CONTENT
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Chunk classification: CONTENT
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Chunk classification: CONTENT
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Chunk classification: CONTENT
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