wanyu/IteraTeR_v2 huggingface dataset:
Original:  As an underlying motivation, in our setup, agents want  adjust their opinions to match those of the agents they follow (their `ingroup' or those they trust) and, in addition, they want to adjust their opinions to match the `inverse' of those of the agents they oppose (their `outgroup' or those they distrust).
Revised:  As an underlying motivation, in our setup, agents want to adjust their opinions to match those of the agents they follow (their `ingroup' or those they trust) and, in addition, they want to adjust their opinions to match the `inverse' of those of the agents they oppose (their `outgroup' or those they distrust).
Edit intent: fluency
Original:  As an underlying motivation, in our setup, agents want to adjust their opinions to match those of the agents they follow (their ` ingroup' or those they trust) and, in addition, they want to adjust their opinions to match the `inverse' of those of the agents they oppose (their ` outgroup' or those they distrust).
Revised:  As an underlying motivation, in our setup, agents want to adjust their opinions to match those of the agents they follow (their ` ingroup' or those they trust) and, in addition, they want to adjust their opinions to match the `inverse' of those of the agents they oppose (their ` out-group', enemies, or those they distrust).
Edit intent: clarity
Original:  As an underlying motivation, in our setup, agents want to adjust their opinions to match those of the agents they follow (their ` in-group' , friends, or those they trust) and, in addition, they want to adjust their opinions to match the ` inverse' of those of the agents they oppose (their ` out-group' , enemies, or those they distrust) .
Revised:  As an underlying motivation, in our setup, agents want to adjust their opinions to match those of the agents of their ' in-group' , friends, or those they trust) and, in addition, they want to adjust their opinions to match the ` inverse' of those of the agents they oppose (their ` out-group' , enemies, or those they distrust) .
Edit intent: clarity
Original:  As an underlying motivation, in our setup, agents want to adjust their opinions to match those of the agents they follow (their ` in-group' , friends, or those they trust) and, in addition, they want to adjust their opinions to match the ` inverse' of those of the agents they oppose (their ` out-group' , enemies, or those they distrust) .
Revised:  As an underlying motivation, in our setup, agents want to adjust their opinions to match those of the agents they follow (their ` in-group' and, in addition, they want to adjust their opinions to match the ` inverse' of those of the agents they oppose (their ` out-group' , enemies, or those they distrust) .
Edit intent: clarity
Original:  As an underlying motivation, in our setup, agents want to adjust their opinions to match those of the agents they follow (their ` in-group' , friends, or those they trust) and, in addition, they want to adjust their opinions to match the ` inverse' of those of the agents they oppose (their ` out-group' , enemies, or those they distrust) .
Revised:  As an underlying motivation, in our setup, agents want to adjust their opinions to match those of the agents they follow (their ` in-group' , friends, or those they trust) and, in addition, they want to adjust their opinions to match the ' inverse' of those of the agents they oppose (their ` out-group' , enemies, or those they distrust) .
Edit intent: fluency
Original:  As an underlying motivation, in our setup, agents want to adjust their opinions to match those of the agents they follow (their ` in-group' , friends, or those they trust) and, in addition, they want to adjust their opinions to match the ` inverse' of those of the agents they oppose (their ` out-group' , enemies, or those they distrust) .
Revised:  As an underlying motivation, in our setup, agents want to adjust their opinions to match those of the agents they follow (their ` in-group' , friends, or those they trust) and, in addition, they want to adjust their opinions to match the ` inverse' of those of the agents of their ' out-group' , enemies, or those they distrust) .
Edit intent: clarity
Original:  As an underlying motivation, in our setup, agents want to adjust their opinions to match those of the agents they follow (their ` in-group' , friends, or those they trust) and, in addition, they want to adjust their opinions to match the ` inverse' of those of the agents they oppose (their ` out-group' , enemies, or those they distrust) .
Revised:  As an underlying motivation, in our setup, agents want to adjust their opinions to match those of the agents they follow (their ` in-group' , friends, or those they trust) and, in addition, they want to adjust their opinions to match the ` inverse' of those of the agents they oppose (their ` out-group' .
Edit intent: clarity
Original:  Our paradigm can account for both long-run consensus as well as bi- and multi-polarization and persistent disagreement in connected societies .
Revised:  Our paradigm can account for persistent disagreement in connected societies as well as bi- and multi-polarization and persistent disagreement in connected societies .
Edit intent: clarity
Original:  Our paradigm can account for both long-run consensus as well as bi- and multi-polarization and persistent disagreement in connected societies .
Revised:  Our paradigm can account for both long-run consensus as well as bi- and multi-polarization .
Edit intent: clarity
Original:  Outcomes depend upon network (`multigraph') structure and the choice of deviation function modeling the mode of opposition between agents.
Revised:  Outcomes depend upon network structure and the choice of deviation function modeling the mode of opposition between agents.
Edit intent: clarity
Original:   We also consider social influence (who are the opinion leaders in the network?) as well as the question of wisdom in our na\"ive learning paradigm, finding that wisdom is difficult to attain when there exist sufficiently strong negative relations between agents . Psychologically and socio-economically, we interpret opposition as arising from group identity structure (out-group discrimination) or, more particularly, from rebels/anti-conformists;
Revised:  We also consider social influence (who are the opinion leaders in the network?) as well as the question of wisdom in our naive learning paradigm, finding that wisdom is difficult to attain when there exist sufficiently strong negative relations between agents . Psychologically and socio-economically, we interpret opposition as arising from group identity structure (out-group discrimination) or, more particularly, from rebels/anti-conformists;
Edit intent: fluency
Original:  Yet, the documented lack of predictability of citation based measures frequently used to gauge impact, from impact factors to short-term citations, raises a fundamental question: is there long-term predictability in citation patterns?
Revised:  Yet, the documented lack of predictability of citation-based measures frequently used to gauge impact, from impact factors to short-term citations, raises a fundamental question: is there long-term predictability in citation patterns?
Edit intent: fluency
Original:  Yet, the documented lack of predictability of citation based measures frequently used to gauge impact, from impact factors to short-term citations, raises a fundamental question: is there long-term predictability in citation patterns?
Revised:  Yet, the documented lack of predictability of citation based measures frequently used to gauge impact, from impact factors to short-term citations, raises a fundamental question: Is there long-term predictability in citation patterns?
Edit intent: fluency
Original:  Here  we derive a mechanistic model for the citation dynamics of individual papers, allowing us to collapse the citation histories of papers from different journals and disciplines into a single curve, indicating that all papers  follow the same universal temporal pattern.
Revised:  Here , we derive a mechanistic model for the citation dynamics of individual papers, allowing us to collapse the citation histories of papers from different journals and disciplines into a single curve, indicating that all papers follow the same universal temporal pattern.
Edit intent: fluency
Original:  Here  we derive a mechanistic model for the citation dynamics of individual papers, allowing us to collapse the citation histories of papers from different journals and disciplines into a single curve, indicating that all papers  follow the same universal temporal pattern.
Revised:  Here we derive a mechanistic model for the citation dynamics of individual papers, allowing us to collapse the citation histories of papers from different journals and disciplines into a single curve, indicating that all papers tend to follow the same universal temporal pattern.
Edit intent: clarity
Original:  The observed patterns not only help us uncover the basic mechanisms that govern scientific impact , but also offer reliable measures of influence with potential policy implications.
Revised:  The observed patterns not only help us uncover basic mechanisms that govern scientific impact , but also offer reliable measures of influence with potential policy implications.
Edit intent: fluency
Original:  The observed patterns not only help us uncover the basic mechanisms that govern scientific impact , but also offer reliable measures of influence with potential policy implications.
Revised:  The observed patterns not only help us uncover the basic mechanisms that govern scientific impact but also offer reliable measures of influence with potential policy implications.
Edit intent: fluency
Original:  The observed patterns not only help us uncover the basic mechanisms that govern scientific impact , but also offer reliable measures of influence with potential policy implications.
Revised:  The observed patterns not only help us uncover the basic mechanisms that govern scientific impact , but also offer reliable measures of influence that may have potential policy implications.
Edit intent: clarity
Original: Non-convex regularized regression improves the performance of high-dimensional sparse estimation . Compared with convex regularizers, one of the important improvements is the weaker requirement on design matrix or, rather, weaker estimation condition.
Revised: Non-convex regularizers usually improve the performance of high-dimensional sparse estimation . Compared with convex regularizers, one of the important improvements is the weaker requirement on design matrix or, rather, weaker estimation condition.
Edit intent: clarity
Original:  Also, we give a quality guarantee for any solution that is regarded as an approximate global solution and prove that the desired approximate stationary solutions can be obtained simply by coordinate descent methods.
Revised:  Also, we give a quality guarantee for any solution that is regarded as an approximate global solution and prove that the desired approximate stationary solutions can be obtained by coordinate descent methods.
Edit intent: clarity
Original:  For the global solutions of the regularized regression, our sparse eigenvalue based conditions are weaker than that of L1-norm for parameter estimation and sparseness estimation.
Revised:  For the global solutions of the regularized regression, our sparse eigenvalue based conditions are weaker than that of L1-regularization for parameter estimation and sparseness estimation.
Edit intent: clarity
Original:  Finally, we perform some simulation to show the performance of CD methods on giving AGAS solutions and the degree of weakness of the estimation conditions required by the sharp concave regularizers.
Revised:  Finally, we perform some experiments to show the performance of CD methods on giving AGAS solutions and the degree of weakness of the estimation conditions required by the sharp concave regularizers.
Edit intent: clarity
Original:  This result complements previous findings on memristive properties of other living systems (human skin and blood and leaves ) and contributes to development of self-growing bio-electronic circuits  .
Revised:  This result complements previous findings on memristive properties of other living systems (human skin and blood ) and contributes to development of self-growing bio-electronic circuits .
Edit intent: coherence
Original: The intricate pattern of chemical modifications on the DNA and histones, the "histone code", is considered to be a  gene regulation factor.
Revised: The intricate pattern of chemical modifications on the DNA and histones, the "histone code", is considered to be a key gene regulation factor.
Edit intent: clarity
Original: The intricate pattern of chemical modifications on the DNA and histones, the "histone code", is considered to be a key gene regulation factor.
Revised: The intricate pattern of chemical modifications on DNA and histones, the "histone code", is considered to be a key gene regulation factor.
Edit intent: fluency
Original:  Multivalency is seen by many as an essential instrument to mediate the transmission of the "encoded" information to the transcription machinery via multi- domain effector proteins and chromatin-associated complexes.
Revised:  Multivalency is seen by many as an essential instrument to transmit the "encoded" information to the transcription machinery via multi- domain effector proteins and chromatin-associated complexes.
Edit intent: clarity
Original:  Multivalency is seen by many as an essential instrument to mediate the transmission of the "encoded" information to the transcription machinery via multi- domain effector proteins and chromatin-associated complexes.
Revised:  Multivalency is seen by many as an essential instrument to mediate the transmission of the "encoded" information to the transcription machinery via multi-domain effector proteins and chromatin-associated complexes.
Edit intent: fluency
Original:  Here, we propose a theory that explains the energetic " payout " of multivalency in the formalism of statistical mechanics.
Revised:  Here, we propose a theory that explains the energetic " prepaid " of multivalency in the formalism of statistical mechanics.
Edit intent: fluency
Original: Many techniques for improving latency in the Internet trade trade off some amount of extra bandwidth consumption for reduced latency.
Revised: Several recently proposed techniques achieve latency reduction by trading it off for some amount of extra bandwidth consumption for reduced latency.
Edit intent: clarity
Original: It has been long known that the perceived pitch of a complex harmonic sound changes if the partials of the sound are shifted in frequency by a fixed amount.
Revised: The perceived pitch of a complex harmonic sound changes if the partials of the sound are shifted in frequency by a fixed amount.
Edit intent: clarity
Original: It has been long known that the perceived pitch of a complex harmonic sound changes if the partials of the sound are shifted in frequency by a fixed amount.
Revised: It has been long known that the perceived pitch of a complex harmonic sound changes if the partials of the sound are frequency-shifted by a fixed amount.
Edit intent: clarity
Original:  Rules that this pitch-shift can be expected to follow can be derived from simple nonlinear modeling ( first pitch-shift ), but clear deviations were observed in corresponding psychoacoustic experiments ( second pitch-shift effects).
Revised:  Simple mathematical rules that the perceived pitch could be expected to follow can be derived from simple nonlinear modeling ( first pitch-shift ), but clear deviations were observed in corresponding psychoacoustic experiments ( second pitch-shift effects).
Edit intent: clarity
Original:  Rules that this pitch-shift can be expected to follow can be derived from simple nonlinear modeling ( first pitch-shift ), but clear deviations were observed in corresponding psychoacoustic experiments ( second pitch-shift effects).
Revised:  Rules that this pitch-shift can be expected to follow (' first pitch-shift ), but clear deviations were observed in corresponding psychoacoustic experiments ( second pitch-shift effects).
Edit intent: clarity
Original:  Rules that this pitch-shift can be expected to follow can be derived from simple nonlinear modeling ( first pitch-shift ), but clear deviations were observed in corresponding psychoacoustic experiments ( second pitch-shift effects).
Revised:  Rules that this pitch-shift can be expected to follow can be derived from simple nonlinear modeling ( first pitch-shift ') are violated in psychoacoustic experiments ( second pitch-shift effects).
Edit intent: clarity
Original: This analysis of the variations of brown tiger prawn ( %DIFDELCMD < {\it %%% Penaeus esculentus ) catch in the Moreton Bay multispecies trawl fishery estimated catchability using a delay difference model.
Revised: This analysis of the variations of brown tiger prawn ( %DIFDELCMD < {\it %%% Penaeus esculentus ) catch in the Moreton Bay multispecies trawl fishery estimated catchability using a delay difference model.
Edit intent: fluency
Original:  We analyze the time-, frequency- and space-variability of this channel parameter using vehicular channel measurements at 5.6 GHz with a bandwidth of 240 MHz for safety-relevant scenarios in intelligent transportation systems (ITS).
Revised:  We analyze the time-frequency variability of this channel parameter using vehicular channel measurements at 5.6 GHz with a bandwidth of 240 MHz for safety-relevant scenarios in intelligent transportation systems (ITS).
Edit intent: clarity
Original:  Furthermore, we investigate the directional dependency of the K-factor by considering different links between antennas at the transmitter and the receiver side.
Edit intent: coherence
Original:  We demonstrate that the K-factor cannot be assumed to be constant in time , frequency, and space .
Revised:  We demonstrate that the K-factor cannot be assumed to be constant in time and frequency .
Edit intent: clarity
Original: Boson-Sampling is a classically computationally hard problem that can - in principle - be efciently solved with linear quantum optical networks.
Revised: Boson-Sampling is a classically computationally hard problem that can - in principle - be efficiently solved with quantum linear optical networks.
Edit intent: fluency
Original:  Here, we explore the genomic contributions of African, European, and especially Native American ancestry to these populations.
Revised:  Here, we explore the genomic contributions of African, European, and Native American ancestry to these populations.
Edit intent: clarity
Original:  Native American ancestry in PUR appears most closely related to Equatorial-Tucanoan-speaking populations , supporting a Southern America ancestry of the Taino people of the Caribbean.
Revised:  Native American ancestry in PUR is most closely related to Equatorial-Tucanoan-speaking populations , supporting a Southern America ancestry of the Taino people of the Caribbean.
Edit intent: clarity
Original:  Native American ancestry in PUR appears most closely related to Equatorial-Tucanoan-speaking populations , supporting a Southern America ancestry of the Taino people of the Caribbean.
Revised:  Native American ancestry in PUR appears most closely related to Equatorial-Tucanoan-speaking populations , supporting a Southern America ancestry of the Ta\'ino people of the Caribbean.
Edit intent: clarity
Original:  Modeling Identity-by-descent (IBD) and ancestry tract length, we show that post-contact populations also differ markedly in their effective sizes and migration patterns, with Puerto Rico showing the smallest  size and the earlier migration from Europe.
Revised:  Modeling Identity-by-descent and ancestry tract length, we show that post-contact populations also differ markedly in their effective sizes and migration patterns, with Puerto Rico showing the smallest size and the earlier migration from Europe.
Edit intent: clarity
Original:  Modeling Identity-by-descent (IBD) and ancestry tract length, we show that post-contact populations also differ markedly in their effective sizes and migration patterns, with Puerto Rico showing the smallest  size and the earlier migration from Europe.
Revised:  Modeling Identity-by-descent (IBD) and ancestry tract length, we show that post-contact populations differ markedly in their effective sizes and migration patterns, with Puerto Rico showing the smallest size and the earlier migration from Europe.
Edit intent: clarity
Original:  These algorithms are usually limited by their divergence under high parallelism or need data preprocessing to avoid divergence .
Revised:  These algorithms are usually limited by divergence issues under high parallelism or need data preprocessing to avoid divergence .
Edit intent: clarity
Original:  These algorithms are usually limited by their divergence under high parallelism or need data preprocessing to avoid divergence .
Revised:  These algorithms are usually limited by their divergence under high parallelism or require data preprocessing to avoid divergence .
Edit intent: fluency
Original:  These algorithms are usually limited by their divergence under high parallelism or need data preprocessing to avoid divergence .
Revised:  These algorithms are usually limited by their divergence under high parallelism or need data preprocessing to alleviate these problems .
Edit intent: clarity
Original:  In this paper , we propose a parallelized algorithm, termed as Parallel Coordinate Descent Newton (PCDN) , to pursue more parallelism .
Revised:  In this work , we propose a parallelized algorithm, termed as Parallel Coordinate Descent Newton (PCDN) , to pursue more parallelism .
Edit intent: clarity
Original:  In this paper , we propose a parallelized algorithm, termed as Parallel Coordinate Descent Newton (PCDN) , to pursue more parallelism .
Revised:  In this paper , we propose a Parallel Coordinate Descent Newton (PCDN) , to pursue more parallelism .
Edit intent: clarity
Original:  It randomly partitions the feature set into b  subsets /bundles with size of P, then it sequentially processes each bundle by first computing the descent directions for each feature in the bundle in parallel and then conducting P-dimensional line search to obtain the stepsize of the bundle.
Revised:  It randomly partitions the feature set into b subsets with size of P, then it sequentially processes each bundle by first computing the descent directions for each feature in the bundle in parallel and then conducting P-dimensional line search to obtain the stepsize of the bundle.
Edit intent: fluency
Original:  It randomly partitions the feature set into b  subsets /bundles with size of P, then it sequentially processes each bundle by first computing the descent directions for each feature in the bundle in parallel and then conducting P-dimensional line search to obtain the stepsize of the bundle.
Revised:  It randomly partitions the feature set into b subsets /bundles with size of P, and sequentially processes each bundle by first computing the descent directions for each feature in the bundle in parallel and then conducting P-dimensional line search to obtain the stepsize of the bundle.
Edit intent: coherence
Original:  It randomly partitions the feature set into b  subsets /bundles with size of P, then it sequentially processes each bundle by first computing the descent directions for each feature in the bundle in parallel and then conducting P-dimensional line search to obtain the stepsize of the bundle.
Revised:  It randomly partitions the feature set into b subsets /bundles with size of P, then it sequentially processes each bundle by first computing the descent directions for each feature in parallel and then conducting P-dimensional line search to obtain the stepsize of the bundle.
Edit intent: clarity