wanyu/IteraTeR_v2 huggingface dataset:
Original:  Our proposed Kuramoto model-based framework can be a potential tool in network neuroscience and offers physical and neural insights into phase dynamics in  brain.
Revised:  Our proposed Kuramoto model-based framework can be a potential tool in network neuroscience and offers physical and neural insights into phase dynamics in the brain.
Edit intent: fluency
Original:  However, those studies are mainly based on the statistical correlation or bayesian causality inference, lacking  physical and neuroscience level interpretability .
Revised:  However, these studies are mainly based on the statistical correlation or bayesian causality inference, lacking physical and neuroscience level interpretability .
Edit intent: coherence
Original:  However, those studies are mainly based on the statistical correlation or bayesian causality inference, lacking  physical and neuroscience level interpretability .
Revised:  However, those studies are mainly based on the statistical correlation or Bayesian causality inference, lacking physical and neuroscience level interpretability .
Edit intent: coherence
Original:  However, those studies are mainly based on the statistical correlation or bayesian causality inference, lacking  physical and neuroscience level interpretability .
Revised:  However, those studies are mainly based on the statistical correlation or bayesian causality inference, lacking interpretability at physical and neuroscience level interpretability .
Edit intent: clarity
Original:  However, those studies are mainly based on the statistical correlation or bayesian causality inference, lacking  physical and neuroscience level interpretability .
Revised:  However, those studies are mainly based on the statistical correlation or bayesian causality inference, lacking physical and neuroscience level .
Edit intent: clarity
Original:  Here, we propose a Kuramoto model physical-based framework to investigate oxytocin effects on the phase dynamical neural coupling in DMN and FPN.
Revised:  Here, we propose a physics-based framework of Kuramoto model to investigate oxytocin effects on the phase dynamical neural coupling in DMN and FPN.
Edit intent: clarity
Original:  Here, we propose a Kuramoto model physical-based framework to investigate oxytocin effects on the phase dynamical neural coupling in DMN and FPN.
Revised:  Here, we propose a Kuramoto model physical-based framework to investigate oxytocin effects on the phase dynamic neural coupling in DMN and FPN.
Edit intent: fluency
Original:  Tested on fMRI data from 59 participants administrated with either oxytocin or placebo, we demonstrate that oxytocin changes the topology of brain communities in DMN and FPN, leading to higher synchronization in the DMN and lower synchronization in the FPN , as well as a higher variance of the coupling strength within the DMN and more flexible coupling patterns across time.
Revised:  Testing on fMRI data from 59 participants administrated with either oxytocin or placebo, we demonstrate that oxytocin changes the topology of brain communities in DMN and FPN, leading to higher synchronization in the DMN and lower synchronization in the FPN , as well as a higher variance of the coupling strength within the DMN and more flexible coupling patterns across time.
Edit intent: fluency
Original:  Tested on fMRI data from 59 participants administrated with either oxytocin or placebo, we demonstrate that oxytocin changes the topology of brain communities in DMN and FPN, leading to higher synchronization in the DMN and lower synchronization in the FPN , as well as a higher variance of the coupling strength within the DMN and more flexible coupling patterns across time.
Revised:  Tested on fMRI data of 59 participants administrated with either oxytocin or placebo, we demonstrate that oxytocin changes the topology of brain communities in DMN and FPN, leading to higher synchronization in the DMN and lower synchronization in the FPN , as well as a higher variance of the coupling strength within the DMN and more flexible coupling patterns across time.
Edit intent: fluency
Original:  Tested on fMRI data from 59 participants administrated with either oxytocin or placebo, we demonstrate that oxytocin changes the topology of brain communities in DMN and FPN, leading to higher synchronization in the DMN and lower synchronization in the FPN , as well as a higher variance of the coupling strength within the DMN and more flexible coupling patterns across time.
Revised:  Tested on fMRI data from 59 participants administrated with either oxytocin or placebo, we demonstrate that oxytocin changes the topology of brain communities in DMN and FPN, leading to higher synchronization in the FPN and lower synchronization in the FPN , as well as a higher variance of the coupling strength within the DMN and more flexible coupling patterns across time.
Edit intent: fluency
Original:  Tested on fMRI data from 59 participants administrated with either oxytocin or placebo, we demonstrate that oxytocin changes the topology of brain communities in DMN and FPN, leading to higher synchronization in the DMN and lower synchronization in the FPN , as well as a higher variance of the coupling strength within the DMN and more flexible coupling patterns across time.
Revised:  Tested on fMRI data from 59 participants administrated with either oxytocin or placebo, we demonstrate that oxytocin changes the topology of brain communities in DMN and FPN, leading to higher synchronization in the DMN and lower synchronization in the DMN , as well as a higher variance of the coupling strength within the DMN and more flexible coupling patterns across time.
Edit intent: fluency
Original:  These results together imply that oxytocin may increase the capability to overcome the dispersion of corresponding intrinsic oscillations and yield flexibility in neural synchrony under various social contexts, providing new evidence to account for oxytocin modulated social behaviors.
Revised:  These results together indicate that oxytocin may increase the capability to overcome the dispersion of corresponding intrinsic oscillations and yield flexibility in neural synchrony under various social contexts, providing new evidence to account for oxytocin modulated social behaviors.
Edit intent: clarity
Original:  These results together imply that oxytocin may increase the capability to overcome the dispersion of corresponding intrinsic oscillations and yield flexibility in neural synchrony under various social contexts, providing new evidence to account for oxytocin modulated social behaviors.
Revised:  These results together imply that oxytocin may increase the ability to overcome the dispersion of corresponding intrinsic oscillations and yield flexibility in neural synchrony under various social contexts, providing new evidence to account for oxytocin modulated social behaviors.
Edit intent: clarity
Original:  These results together imply that oxytocin may increase the capability to overcome the dispersion of corresponding intrinsic oscillations and yield flexibility in neural synchrony under various social contexts, providing new evidence to account for oxytocin modulated social behaviors.
Revised:  These results together imply that oxytocin may increase the capability to overcome the corresponding internal oscillation dispersion and support the flexibility in neural synchrony under various social contexts, providing new evidence to account for oxytocin modulated social behaviors.
Edit intent: clarity
Original:  These results together imply that oxytocin may increase the capability to overcome the dispersion of corresponding intrinsic oscillations and yield flexibility in neural synchrony under various social contexts, providing new evidence to account for oxytocin modulated social behaviors.
Revised:  These results together imply that oxytocin may increase the capability to overcome the dispersion of corresponding intrinsic oscillations and yield flexibility in neural synchrony in various social contexts, providing new evidence to account for oxytocin modulated social behaviors.
Edit intent: clarity
Original:  These results together imply that oxytocin may increase the capability to overcome the dispersion of corresponding intrinsic oscillations and yield flexibility in neural synchrony under various social contexts, providing new evidence to account for oxytocin modulated social behaviors.
Revised:  These results together imply that oxytocin may increase the capability to overcome the dispersion of corresponding intrinsic oscillations and yield flexibility in neural synchrony under various social contexts, providing new evidence for explaining the oxytocin modulated social behaviors.
Edit intent: clarity
Original:  Our proposed Kuramoto model-based framework can be a potential tool in network neuroscience and offers physical and neural insights into phase dynamics in the brain.
Revised:  Our proposed Kuramoto model-based framework can be a potential tool in network neuroscience and offers physical and neural insights into phase dynamics of the brain.
Edit intent: clarity
Original:  However, existing RVW algorithms mostly construct the reversible mapping mechanism for a specific visible watermarking scheme, which is not general .
Revised:  However, existing RVW algorithms mostly construct the reversible mapping mechanism for a specific visible watermarking scheme, which is not versatile .
Edit intent: clarity
Original:  Hence, we propose a generic RVW framework to accommodate various visible watermarking schemes , which is based on Regularized Graph Fourier Transform (GFT) coding .
Revised:  Hence, we propose a generic RVW framework to accommodate various visible watermarking schemes .
Edit intent: coherence
Original:  Experimental results show that the proposed method achieves the state-of-the-art performance with high data compression efficiency, which is applicable to both gray-scale and color images.
Revised:  Experimental results show that the proposed framework has much better versatility than state-of-the-art performance with high data compression efficiency, which is applicable to both gray-scale and color images.
Edit intent: clarity
Original:  Influencers are particularly important in political discourse through their engagement with issues, and may derive their legitimacy either solely or partly through online operation, or have an offline sphere of expertise such as entertainers, journalists etc.
Revised:  Influencers are particularly important in political discourse through their engagement with issues, and may derive their legitimacy either solely or in large part through online operation, or have an offline sphere of expertise such as entertainers, journalists etc.
Edit intent: clarity
Original:  We then obtain aggregate vector representations of the influencers based on their tweet embeddings, which alongside retweet graphs help compute the stance and polarity of these influencers with respect to the political issues.
Revised:  We then obtain aggregate vector representations of the influencers based on their tweet embeddings, which alongside retweet graphs help compute their stance and polarity of these influencers with respect to the political issues.
Edit intent: fluency
Original:  We then obtain aggregate vector representations of the influencers based on their tweet embeddings, which alongside retweet graphs help compute the stance and polarity of these influencers with respect to the political issues.
Revised:  We then obtain aggregate vector representations of the influencers based on their tweet embeddings, which alongside retweet graphs help compute the stance and polarity with respect to the political issues.
Edit intent: clarity
Original:  We then obtain aggregate vector representations of the influencers based on their tweet embeddings, which alongside retweet graphs help compute the stance and polarity of these influencers with respect to the political issues.
Revised:  We then obtain aggregate vector representations of the influencers based on their tweet embeddings, which alongside retweet graphs help compute the stance and polarity of these influencers with respect to these political issues.
Edit intent: fluency
Original:  We propose that this method offers insight into the political schisms in present-day India, but also offers a means to study influencers and polarization in other contexts.
Revised:  We propose that this method offers insight into the political schisms of present-day India, but also offers a means to study influencers and polarization in other contexts.
Edit intent: fluency
Original:  In contrast to single-level optimization, we show that the introduction of interval uncertainty renders the bilevel problem significantly harder both in the optimistic and the pessimistic setting.
Revised:  We show that the introduction of interval uncertainty renders the bilevel problem significantly harder both in the optimistic and the pessimistic setting.
Edit intent: coherence
Original:  More precisely, the robust counterpart of the uncertain bilevel problem can be \Sigma^{\text P}_2-hard in this case , even when the certain bilevel problem is NP-equivalent and the follower's problem is tractable.
Revised:  More precisely, the robust counterpart of the uncertain bilevel problem can be \Sigma^{\text P}_2-hard , even when the certain bilevel problem is NP-equivalent and the follower's problem is tractable.
Edit intent: clarity
Original: This chapter describes how gradient flows and nonlinear power methods in Banach spaces can be used to solve nonlinear eigenvector-dependent eigenvalue problems, and how these can be approximated using \Gamma-convergence .
Revised: This chapter describes how gradient flows and nonlinear power methods in Banach spaces can be used to solve nonlinear eigenvector-dependent eigenvalue problems, and how convergence of (discretized) approximations can be verified .
Edit intent: clarity
Original:  In each domain, at least one abstraction combination led to a significantly better performance than using raw data.
Revised:  In each domain, at least one abstraction combination led to a significantly better mean performance than raw data.
Edit intent: clarity
Original:  Increasing feature number , and using multi-dimensional abstractions , enhanced performance.
Revised:  Increasing feature number and using Multi-dimensional abstractions enhanced performance.
Edit intent: fluency
Original:  Because of constraints on the shapes for L=3 imposed by peaks  there are in total 25 possible combinations of peak patterns and shapes.
Revised:  Because of constraints on the shapes for L=3 imposed by peaks , there are in total 25 possible combinations of peak patterns and shapes.
Edit intent: fluency
Original:  We apply the concept to a large protein fitness landscapes for an immunoglobulin-binding protein expressed in Streptococcal bacteria.
Revised:  We apply the concept to a large protein fitness landscape for an immunoglobulin-binding protein expressed in Streptococcal bacteria.
Edit intent: fluency
Original:  In this paper we explore the idea of equivalence taking values in a quantale V, which covers e.g. the cases of inequations and (ultra)metric equations  .
Revised:  In this paper we explore the idea of equivalence taking values in a quantale V, which covers the cases of inequations and (ultra)metric equations .
Edit intent: coherence
Original:  In this paper we explore the idea of equivalence taking values in a quantale V, which covers e.g. the cases of inequations and (ultra)metric equations  .
Revised:  In this paper we explore the idea of equivalence taking values in a quantale V, which covers e.g. the cases of (in)equations and (ultra)metric equations .
Edit intent: fluency
Original:  Our main result is the development of a V-equational deductive system for linear lambda-calculus  together with a proof that it is sound and complete (in fact, an internal language) for a class of enriched autonomous categories.
Revised:  Our main result is the introduction of a V-equational deductive system for linear lambda-calculus together with a proof that it is sound and complete (in fact, an internal language) for a class of enriched autonomous categories.
Edit intent: clarity
Original:  Our main result is the development of a V-equational deductive system for linear lambda-calculus  together with a proof that it is sound and complete (in fact, an internal language) for a class of enriched autonomous categories.
Revised:  Our main result is the development of a V-equational deductive system for linear \lambda together with a proof that it is sound and complete (in fact, an internal language) for a class of enriched autonomous categories.
Edit intent: clarity
Original:  Our main result is the development of a V-equational deductive system for linear lambda-calculus  together with a proof that it is sound and complete (in fact, an internal language) for a class of enriched autonomous categories.
Revised:  Our main result is the development of a V-equational deductive system for linear lambda-calculus -calculus together with a proof that it is sound and complete (in fact, an internal language) for a class of enriched autonomous categories.
Edit intent: fluency
Original:  We use our results to obtain examples of inequational and metric equational systems for higher-order programs that contain real-time and probabilistic behaviour .
Revised:  We use our results to obtain examples of inequational and metric equational systems for higher-order programs that contain real-time and probabilistic behaviour 
Edit intent: fluency
Original:  This procedure was designed to evaluate the risk adjustment formulas used in the U.S. health insurance Marketplaces as well as Medicare , and we find a number of previously unidentified undercompensated groups .
Revised:  This procedure was designed to evaluate the risk adjustment formulas used in the U.S. health insurance Marketplaces as well as Medicare . We find that a number of previously unidentified undercompensated groups .
Edit intent: coherence
Original:  While for multi-IRS deployment, we propose a practical cooperative IRS passive beamforming design which is analytically shown to achieve a larger capacity scaling order than the optimal single-IRS deployment (i.e., near R  ) when M is sufficiently large.
Revised:  While for multi-IRS deployment, we propose a practical cooperative IRS passive beamforming design which is analytically shown to achieve a larger capacity scaling order than the single-IRS deployment (i.e., near R ) when M is sufficiently large.
Edit intent: clarity
Original:  We provide a simplification } } of the former construction, thus improving the lower bound for VASS in fixed dimension : while Czerwi\'nski } and Orlikowski prove F_k-hardness in dimension 6k, and Leroux in dimension 4k+ 9, the simplified construction yields F_k-hardness already in dimension 3k+2.
Revised:  We provide a simplification } } of the former construction, thus improving the lower bound for VASS in fixed dimension : while Czerwi\'nski }ski and Orlikowski prove F_k-hardness in dimension 6k, and Leroux in dimension 4k+ 9, the simplified construction yields F_k-hardness already in dimension 3k+2.
Edit intent: fluency
Original: With the global roll-out of the fifth generation (5G) networks, it is necessary to look beyond 5G and envision the sixth generation ( 6G ) networks.
Revised: With the global roll-out of the fifth generation (5G) networks, it is necessary to look beyond 5G and envision the 6G ) networks.
Edit intent: fluency
Original: With the global roll-out of the fifth generation (5G) networks, it is necessary to look beyond 5G and envision the sixth generation ( 6G ) networks.
Revised: With the global roll-out of the fifth generation (5G) networks, it is necessary to look beyond 5G and envision the sixth generation ( 6G networks.
Edit intent: fluency
Original:  The 6G networks are expected to have space-air-ground integrated networking , advanced network virtualization, and ubiquitous intelligence.
Revised:  The 6G networks are expected to have space-air-ground integrated networks , advanced network virtualization, and ubiquitous intelligence.
Edit intent: fluency
Original:  This article proposes an artificial intelligence (AI)-native network slicing architecture for 6G networks to facilitate intelligent network management and support emerging AI services.
Revised:  This article presents an artificial intelligence (AI)-native network slicing architecture for 6G networks to facilitate intelligent network management and support emerging AI services.
Edit intent: clarity
Original:  Furthermore , network slicing approaches are discussed to support emerging AI services by constructing slice instances and performing efficient resource management, i.e., slicing for AI.
Revised:  Then , network slicing approaches are discussed to support emerging AI services by constructing slice instances and performing efficient resource management, i.e., slicing for AI.
Edit intent: coherence
Original:  Furthermore , network slicing approaches are discussed to support emerging AI services by constructing slice instances and performing efficient resource management, i.e., slicing for AI.
Revised:  Furthermore , network slicing solutions are studied to support emerging AI services by constructing slice instances and performing efficient resource management, i.e., slicing for AI.
Edit intent: clarity
Original:  Furthermore , network slicing approaches are discussed to support emerging AI services by constructing slice instances and performing efficient resource management, i.e., slicing for AI.
Revised:  Furthermore , network slicing approaches are discussed to support emerging AI services by constructing AI instances and performing efficient resource management, i.e., slicing for AI.
Edit intent: fluency
Original:  Finally, a case study is presented, followed by a discussion of open research issues that are essential for AI-native network slicing in 6G  .
Revised:  Finally, a case study is presented, followed by a discussion of open research issues that are essential for AI-native network slicing in 6G networks .
Edit intent: clarity
Original: We present CoTexT, a  transformer-based architecture encoder-decoder pre-trained model that learns the representative context between natural language (NL) and programming language (PL) through multi-task learning.
Revised: We present CoTexT, a transformer-based encoder-decoder pre-trained model that learns the representative context between natural language (NL) and programming language (PL) through multi-task learning.
Edit intent: clarity
Original: We present CoTexT, a  transformer-based architecture encoder-decoder pre-trained model that learns the representative context between natural language (NL) and programming language (PL) through multi-task learning.
Revised: We present CoTexT, a transformer-based architecture encoder-decoder model that learns the representative context between natural language (NL) and programming language (PL) through multi-task learning.
Edit intent: coherence
Original: We present CoTexT, a  transformer-based architecture encoder-decoder pre-trained model that learns the representative context between natural language (NL) and programming language (PL) through multi-task learning.
Revised: We present CoTexT, a transformer-based architecture encoder-decoder pre-trained model that learns the representative context between natural language (NL) and programming language (PL) . Using self-supervision,
Edit intent: clarity
Original: Collective adaptive systems (CAS) consist of many heterogeneous components typically organised in groups.
Revised: Modern software systems often consist of many heterogeneous components typically organised in groups.
Edit intent: clarity
Original: The COVID-19 pandemic is causing a devastating effect on the health of global population.
Revised: The pandemic by COVID-19 is causing a devastating effect on the health of global population.
Edit intent: clarity
Original:  Loops, as flexible regions of the protein, are known to be involved in binding and can adopt multiple conformations.
Revised:  Loops, as flexible regions of the protein, are known to be involved in protein binding and may adopt multiple conformations.
Edit intent: clarity