wanyu/IteraTeR_v2 huggingface dataset:
Original:  Through extensive numerical simulations and theoretical analyses , we find that the time-delays induced by the CCA characteristic slows the behavior spreading but does not affect the final adoption size.
Revised:  Through extensive numerical simulations and theoretical analyses we find that the time-delays induced by the CCA characteristic slows the behavior spreading but does not affect the final adoption size.
Edit intent: fluency
Original:  Through extensive numerical simulations and theoretical analyses , we find that the time-delays induced by the CCA characteristic slows the behavior spreading but does not affect the final adoption size.
Revised:  Through extensive numerical simulations and theoretical analyses , we find that the time delays induced by CCA slow the behavior spreading but does not affect the final adoption size.
Edit intent: clarity
Original:  Through extensive numerical simulations and theoretical analyses , we find that the time-delays induced by the CCA characteristic slows the behavior spreading but does not affect the final adoption size.
Revised:  Through extensive numerical simulations and theoretical analyses , we find that the time-delays induced by the CCA characteristic slows the behavior spreading but do not affect the final adoption size.
Edit intent: fluency
Original:  We also find that the CCA characteristic suppresses behavior spreading and that the information transmission probability  in ER-SF multiplex networks  introduces a crossover in adoption size from continuous to discontinuous behavior .
Revised:  We also find that the CCA suppresses behavior spreading and that the information transmission probability in ER-SF multiplex networks introduces a crossover in adoption size from continuous to discontinuous behavior .
Edit intent: clarity
Original:  We also find that the CCA characteristic suppresses behavior spreading and that the information transmission probability  in ER-SF multiplex networks  introduces a crossover in adoption size from continuous to discontinuous behavior .
Revised:  We also find that the CCA characteristic suppresses behavior spreading and that the information transmission probability in ER-SF multiplex networks introduces a crossover from continuous to discontinuous behavior .
Edit intent: clarity
Original:  Our results extend our understanding of the role of the CCA characteristic in spreading dynamics, and may elicit further research.
Revised:  Our results extend our understanding of the role of CCA in spreading dynamics, and may elicit further research.
Edit intent: clarity
Original: Stochastic partial differential equations (SPDE) on graphs were  introduced by Cerrai and Freidlin rather recently.
Revised: Stochastic partial differential equations (SPDE) on graphs were recently introduced by Cerrai and Freidlin rather recently.
Edit intent: coherence
Original:   This class of stochastic equations in infinite dimensions provides a minimal framework for the study of the effective dynamics of much more complex systems.
Revised:  . This class of stochastic equations in infinite dimensions provides a minimal framework for the study of the effective dynamics of much more complex systems.
Edit intent: fluency
Original: Stochastic partial differential equations (SPDE) on graphs were recently introduced by Cerrai and Freidlin [Ann.
Revised: Stochastic partial differential equations (SPDE) on graphs were introduced by Cerrai and Freidlin [Ann.
Edit intent: clarity
Original:  Uniform heat kernel estimates for symmetric random walks approximating diffusions on graphs are the keys to our proofs . Some open problems are provided as further motivations of our study .
Revised:  Uniform heat kernel estimates for symmetric random walks approximating diffusions on graphs are the keys to our proofs .
Edit intent: clarity
Original:  In particular, the stacked coupling is introduced and is shown via a number of examples to provide an exceptionally low variance between the generated paths.
Revised:  In particular, the stacked coupling is introduced and is shown via a number of examples to provide an exceptionally low variance between the generated paths.
Edit intent: fluency
Original:  However, choosing a component from a large shape repository and aligning it to a partial assembly can become a daunting task , especially, if the repository is not consistently segmented into semantically labeled parts .
Revised:  However, choosing a component from a large shape repository and aligning it to a partial assembly can become a daunting task .
Edit intent: clarity
Original:  Thus, our key technical insight is to predict a probability distribution over possible answers, which allows us to deal with ambiguities , enabling a smooth UI for integrating user preferences into the design process.
Revised:  Thus, our key technical insight is to predict a probability distribution over possible answers, which allows us to deal with ambiguities and naturally enables a UI that seamlessly integrates user preferences into the design process.
Edit intent: clarity
Original:  We also demonstrate that our method can be used to design complex shapes with minimal or no user input.
Revised:  We demonstrate that our method can be used to design complex shapes with minimal or no user input.
Edit intent: clarity
Original:  Finally, we propose a novel benchmark for evaluating component suggestion systems and show that our method outperforms state-of-the-art techniques.
Revised:  To evaluate our approach we develop a novel benchmark for evaluating component suggestion systems and show that our method outperforms state-of-the-art techniques.
Edit intent: clarity
Original:  Finally, we propose a novel benchmark for evaluating component suggestion systems and show that our method outperforms state-of-the-art techniques.
Revised:  Finally, we propose a novel benchmark for component suggestion systems and show that our method outperforms state-of-the-art techniques.
Edit intent: clarity
Original:  Finally, we propose a novel benchmark for evaluating component suggestion systems and show that our method outperforms state-of-the-art techniques.
Revised:  Finally, we propose a novel benchmark for evaluating component suggestion systems demonstrating significant improvement over state-of-the-art techniques.
Edit intent: clarity
Original: Information seeking is an interactive behavior of the end users with information systems, which occurs in a real environment known as context.
Revised: Information seeking is an interactive behaviour of the end users with information systems, which occurs in a real environment known as context.
Edit intent: fluency
Original:  Context affects information seeking behavior in many different ways.
Revised:  Context affects information-seeking behaviour in many different ways.
Edit intent: fluency
Original:  The aim of this article was to investigate the factors that potentially constitute the context of visual information seeking.
Revised:  The purpose of this paper is to investigate the factors that potentially constitute the context of visual information seeking.
Edit intent: clarity
Original:  We utilized Straussian version of grounded theory, a qualitative approach, to conduct the study.
Revised:  We used a Straussian version of grounded theory, a qualitative approach, to conduct the study.
Edit intent: fluency
Original:  Using a purposive sampling method, twenty-eight subjects participated in the study.
Revised:  Using a purposive sampling method, 28 subjects participated in the study.
Edit intent: fluency
Original:  The data was analyzed using open, axial and selective coding in MAXQDA software.
Revised:  The data were analysed using open, axial and selective coding in MAXQDA software.
Edit intent: fluency
Original:  The contextual factors influencing visual information seeking were classified into seven categories, including: user characteristics, general search features, visual search features, display of results, accessibility and usability of results, task type , and environmental factors.
Revised:  The contextual factors influencing visual information seeking were classified into seven categories, including: user characteristics, general search features, visual search features, display of results, accessibility of results, task type , and environmental factors.
Edit intent: clarity
Original:  The contextual factors influencing visual information seeking were classified into seven categories, including: user characteristics, general search features, visual search features, display of results, accessibility and usability of results, task type , and environmental factors.
Revised:  The contextual factors influencing visual information seeking were classified into seven categories, including: user characteristics, general search features, visual search features, display of results, accessibility and usability of results, task type and environmental factors.
Edit intent: fluency
Original:  As a solution, we develop a bootstrap method for directly estimating the accuracy as a function of the reduced dimension (as opposed to deriving worst-case bounds on the accuracy in terms of the reduced dimension).
Revised:  As a solution, we develop a bootstrap method for directly estimating the accuracy as a function of the reduced dimension (as opposed to deriving worst-case bounds on the accuracy in terms of the reduced dimension).
Edit intent: fluency
Original:  The dominant model in the literature is one in which visual features encoded by a convolutional network are `injected' into the RNN. An alternative architecture encodes visual and linguistic features separately, merging them at a late stage.
Revised:  This view suggests that the image features should be `injected' into the RNN. An alternative architecture encodes visual and linguistic features separately, merging them at a late stage.
Edit intent: clarity
Original:  Here we ask: "When do we need optimization?" and apply insights from statistical mechanics , and direct simulations , to characterize the parameter-space region where optimization is required.
Revised:  Here we ask: "When do we need optimization?" We use results from statistical mechanics , and direct simulations , to characterize the parameter-space region where optimization is required.
Edit intent: clarity
Original:  Here we ask: "When do we need optimization?" and apply insights from statistical mechanics , and direct simulations , to characterize the parameter-space region where optimization is required.
Revised:  Here we ask: "When do we need optimization?" and apply insights from statistical mechanics and direct simulations , to characterize the parameter-space region where optimization is required.
Edit intent: fluency
Original:  We  show that also from a utility-maximization perspective (when considering the optimization costs ), for large networks standard optimization is profitable only in a vanishing parameter region near the phase transition.
Revised:  We then show that also from a utility-maximization perspective (when considering the optimization costs ), for large networks standard optimization is profitable only in a vanishing parameter region near the phase transition.
Edit intent: coherence
Original:  We  show that also from a utility-maximization perspective (when considering the optimization costs ), for large networks standard optimization is profitable only in a vanishing parameter region near the phase transition.
Revised:  We show that also from a utility-maximization perspective (when considering the costs of the optimization process ), for large networks standard optimization is profitable only in a vanishing parameter region near the phase transition.
Edit intent: clarity
Original:  Finally, we introduce a  constant-time optimization approach, and demonstrate it through a simple algorithm that manages to give similar results to standard optimization methods in terms of the influenced-set size, while improving the results in terms of the net utility.
Revised:  Finally, we introduce a novel constant-time optimization approach, and demonstrate it through a simple algorithm that manages to give similar results to standard optimization methods in terms of the influenced-set size, while improving the results in terms of the net utility.
Edit intent: clarity
Original:  Such operations can be delayed by train congestion, passenger congestion, and the interaction of the two.
Revised:  Such operations can be delayed by two types of congestion: train congestion and passenger congestion, and the interaction of the two.
Edit intent: clarity
Original:  Delays are problematic for many transit systems, as they become amplified by this interactive feedback .
Revised:  Delays are problematic for many transit systems, since it can be amplified due to the interaction .
Edit intent: clarity
Original:  However, there are no tractable models to describe transit systems with dynamical delays, making it difficult to analyze the management strategies of congested transit systems in general , solvable ways.
Revised:  However, there are no tractable models describing them; and it makes difficult to analyze the management strategies of congested transit systems in general , solvable ways.
Edit intent: coherence
Original:  However, there are no tractable models to describe transit systems with dynamical delays, making it difficult to analyze the management strategies of congested transit systems in general , solvable ways.
Revised:  However, there are no tractable models to describe transit systems with dynamical delays, making it difficult to analyze management strategies of congested transit systems in general , solvable ways.
Edit intent: fluency
Original:  However, there are no tractable models to describe transit systems with dynamical delays, making it difficult to analyze the management strategies of congested transit systems in general , solvable ways.
Revised:  However, there are no tractable models to describe transit systems with dynamical delays, making it difficult to analyze the management strategies of congested transit systems in general and tractable ways.
Edit intent: clarity
Original:  To fill this gap, this article proposes simple yet physical and dynamic models of urban rail transit.
Revised:  To fill this gap, this article proposes simple yet physical and dynamic model of urban rail transit.
Edit intent: fluency
Original:  First, a fundamental diagram of a transit system ( 3-dimensional relation among train-flow, train-density, and passenger-flow) is analytically derived by considering the physical interactions in delays and congestion based on microscopic operation principles .
Revised:  First, a fundamental diagram of transit system ( 3-dimensional relation among train-flow, train-density, and passenger-flow) is analytically derived by considering the physical interactions in delays and congestion based on microscopic operation principles .
Edit intent: fluency
Original:  First, a fundamental diagram of a transit system ( 3-dimensional relation among train-flow, train-density, and passenger-flow) is analytically derived by considering the physical interactions in delays and congestion based on microscopic operation principles .
Revised:  First, a fundamental diagram of a transit system ( 3-dimensional relation among train-flow, train-density, and passenger-flow) is analytically derived considering the aforementioned physical interaction .
Edit intent: clarity
Original:  Then, a macroscopic model of a transit system with time-varying demand and supply is developed as a continuous approximation based on the fundamental diagram.
Revised:  Then, a macroscopic model of transit system for dynamic transit assignment is developed based on the fundamental diagram.
Edit intent: clarity
Original:  Finally, the accuracy of the macroscopic model is investigated using a microscopic simulation, and applicable range of the model is confirmed .
Revised:  Finally, accuracy of the macroscopic model is investigated using a microscopic simulation, and applicable range of the model is confirmed .
Edit intent: fluency
Original: We deterministically construct quasi-polynomial weights in quasi-polynomial time, such that in a given polytope with totally unimodular constraints  , one vertex is%DIFDELCMD < {\em %%% isolated , i.e., there is a unique minimum weight vertex.
Revised: We deterministically construct quasi-polynomial weights in quasi-polynomial time, such that in a given polytope with totally unimodular constraints , %DIFDELCMD < {\em %%% isolated , i.e., there is a unique minimum weight vertex.
Edit intent: clarity
Original: We deterministically construct quasi-polynomial weights in quasi-polynomial time, such that in a given polytope with totally unimodular constraints  , one vertex is%DIFDELCMD < {\em %%% isolated , i.e., there is a unique minimum weight vertex.
Revised: We deterministically construct quasi-polynomial weights in quasi-polynomial time, such that in a given polytope with totally unimodular constraints , one vertex is%DIFDELCMD < {\em %%% , i.e., there is a unique minimum weight vertex.
Edit intent: fluency
Original: We deterministically construct quasi-polynomial weights in quasi-polynomial time, such that in a given polytope with totally unimodular constraints  , one vertex is%DIFDELCMD < {\em %%% isolated , i.e., there is a unique minimum weight vertex.
Revised: We deterministically construct quasi-polynomial weights in quasi-polynomial time, such that in a given polytope with totally unimodular constraints , one vertex is%DIFDELCMD < {\em %%% isolated i.e., there is a unique minimum weight vertex.
Edit intent: fluency
Original:  This derandomizes the famousIsolation Lemma by Mulmuley, Vazirani, and Vazirani for this setting, generalizes the recent derandomization results for bipartite perfect matching and matroid intersection%DIFDELCMD < }%%% , and resolves the problem of derandomizing the isolation lemma for totally unimodular polytopes raised in a recent work .
Revised:  This Isolation Lemma by Mulmuley, Vazirani, and Vazirani for this setting, generalizes the recent derandomization results for bipartite perfect matching and matroid intersection%DIFDELCMD < }%%% , and resolves the problem of derandomizing the isolation lemma for totally unimodular polytopes raised in a recent work .
Edit intent: clarity
Original:  This derandomizes the famousIsolation Lemma by Mulmuley, Vazirani, and Vazirani for this setting, generalizes the recent derandomization results for bipartite perfect matching and matroid intersection%DIFDELCMD < }%%% , and resolves the problem of derandomizing the isolation lemma for totally unimodular polytopes raised in a recent work .
Revised:  This derandomizes the famous by Mulmuley, Vazirani, and Vazirani for this setting, generalizes the recent derandomization results for bipartite perfect matching and matroid intersection%DIFDELCMD < }%%% , and resolves the problem of derandomizing the isolation lemma for totally unimodular polytopes raised in a recent work .
Edit intent: clarity
Original:  This derandomizes the famousIsolation Lemma by Mulmuley, Vazirani, and Vazirani for this setting, generalizes the recent derandomization results for bipartite perfect matching and matroid intersection%DIFDELCMD < }%%% , and resolves the problem of derandomizing the isolation lemma for totally unimodular polytopes raised in a recent work .
Revised:  This derandomizes the famousIsolation Lemma generalizes the recent derandomization results for bipartite perfect matching and matroid intersection%DIFDELCMD < }%%% , and resolves the problem of derandomizing the isolation lemma for totally unimodular polytopes raised in a recent work .
Edit intent: clarity
Original:  This derandomizes the famousIsolation Lemma by Mulmuley, Vazirani, and Vazirani for this setting, generalizes the recent derandomization results for bipartite perfect matching and matroid intersection%DIFDELCMD < }%%% , and resolves the problem of derandomizing the isolation lemma for totally unimodular polytopes raised in a recent work .
Revised:  This derandomizes the famousIsolation Lemma by Mulmuley, Vazirani, and Vazirani for this setting, generalizes the recent derandomization results for bipartite perfect matching matroid intersection%DIFDELCMD < }%%% , and resolves the problem of derandomizing the isolation lemma for totally unimodular polytopes raised in a recent work .
Edit intent: fluency
Original:  This derandomizes the famousIsolation Lemma by Mulmuley, Vazirani, and Vazirani for this setting, generalizes the recent derandomization results for bipartite perfect matching and matroid intersection%DIFDELCMD < }%%% , and resolves the problem of derandomizing the isolation lemma for totally unimodular polytopes raised in a recent work .
Revised:  This derandomizes the famousIsolation Lemma by Mulmuley, Vazirani, and Vazirani for this setting, generalizes the recent derandomization results for bipartite perfect matching and %DIFDELCMD < }%%% , and resolves the problem of derandomizing the isolation lemma for totally unimodular polytopes raised in a recent work .
Edit intent: clarity
Original:  We prove our result by associating a %DIFDELCMD < {\em %%% lattice to each face of the polytope and showing that if there is a totally unimodular kernel matrix for this lattice, then the number of near-shortest vectors in it is polynomially bounded.
Revised:  We prove our result by associating a %DIFDELCMD < {\em %%% lattice to each face of the polytope and showing that if there is a totally unimodular kernel matrix for this lattice, then the number of near-shortest vectors in it is polynomially bounded.
Edit intent: fluency
Original:  It generalizes an influential result by Karger on the number of minimum cuts in a graph to regular matroids . Both of our results, on lattices and matroids, should be of independent interest .
Revised:  It generalizes an influential result by Karger on the number of minimum cuts in a graph to regular matroids .
Edit intent: coherence
Original:  In this work we investigate how gene conservation, essentiality and functional repertoire are reflected in the connectivity k of the corresponding proteins in the PPI networks  of 42 evolutionarily unrelated bacterial species .
Revised:  In this work we relate conservation, essentiality and functional repertoire are reflected in the connectivity k of the corresponding proteins in the PPI networks of 42 evolutionarily unrelated bacterial species .
Edit intent: clarity
Original:  iii) how k of the PPI networks selects functional repertoires , as represented by the Clusters of Orthologous Proteins (COGs).
Revised:  iii) how PPI connectivities are modulated by evolutionary and functional relationships , as represented by the Clusters of Orthologous Proteins (COGs).
Edit intent: clarity
Original:  We show that conservation, essentiality and functional specialisation of the genes control in a  universal way the topology of the emerging bacterial PPI networks.
Revised:  We show that conservation, essentiality and functional specialization of genes control in a universal way the topology of the emerging bacterial PPI networks.
Edit intent: fluency
Original:  We show that conservation, essentiality and functional specialisation of the genes control in a  universal way the topology of the emerging bacterial PPI networks.
Revised:  We show that conservation, essentiality and functional specialisation of the genes control in a quite universal way the topology of the emerging bacterial PPI networks.
Edit intent: coherence
Original:  ii) how gene conservation, measured both by the evolutionary retention index (ERI) and by evolutionary pressures (evaluated through the ratio K_a/K_s and ENC plots) is related to the the connectivity of the corresponding protein;
Revised:  ii) how gene conservation, measured both by the evolutionary retention index (ERI) and by evolutionary pressures , is related to the the connectivity of the corresponding protein;
Edit intent: coherence