wanyu/IteraTeR_v2 huggingface dataset:
Original:  This research aims to identify the significance of the prevailing attention factor towards sharing misinformation on social media.
Revised:  This research aims to identify the significance of prevailing attention factors towards sharing misinformation on social media.
Edit intent: fluency
Original:  Our closed-ended questionnaire  consisted of a psychometric scale to measure attention behavior with participants in the survey (n = 112).
Revised:  We used a closed-ended questionnaire consisted of a psychometric scale to measure attention behavior with participants in the survey (n = 112).
Edit intent: style
Original:  Our closed-ended questionnaire  consisted of a psychometric scale to measure attention behavior with participants in the survey (n = 112).
Revised:  Our closed-ended questionnaire which consisted of a psychometric scale to measure attention behavior with participants in the survey (n = 112).
Edit intent: coherence
Original:  Our closed-ended questionnaire  consisted of a psychometric scale to measure attention behavior with participants in the survey (n = 112).
Revised:  Our closed-ended questionnaire consisted of a psychometric scale to measure attention behaviour with participants (n = 112).
Edit intent: clarity
Original:  The results coefficient value of -0.390 from a set of regression analyses reports that attention factors have a significant negative correlation effect for users to share misinformation on social media.
Revised:  The results coefficient value of -0.390 from a set of regression analyses shows that attention factors have a significant negative correlation effect for users to share misinformation on social media.
Edit intent: clarity
Original:  For Max-CSPs, and even more generally, maximisation finite-valued CSPs (where constraints are arbitrary non-negative functions), Romero, Wrochna, and Zivn\'y ~ [SODA'21] showed that the Sherali-Adams LP relaxation gives a simple PTAS for all fractionally-treewidth-fragile classes, which is the most general "sparsity" condition for which a PTAS is known.
Revised:  For Max-CSPs, and even more generally, maximisation finite-valued CSPs (where constraints are arbitrary non-negative functions), Romero, Wrochna, and Zivn\'y [SODA'21] showed that the Sherali-Adams LP relaxation gives a simple PTAS for all fractionally-treewidth-fragile classes, which is the most general "sparsity" condition for which a PTAS is known.
Edit intent: fluency
Original:  For minimisation general-valued CSPs with crisp constraints, we present a PTAS for all Baker graph classes -- a definition by Dvor\'ak ~ [SODA'20] which encompasses all classes where Baker's technique is known to work, except possibly for fractionally-treewidth-fragile classes.
Revised:  For minimisation general-valued CSPs with crisp constraints, we present a PTAS for all Baker graph classes -- a definition by Dvor\'ak [SODA'20] which encompasses all classes where Baker's technique is known to work, except possibly for fractionally-treewidth-fragile classes.
Edit intent: fluency
Original:  In general, incremental TTS is subject to a trade-off between the latency and quality of output speech .
Revised:  In general, incremental TTS is subject to a trade-off between latency and synthetic speech quality .
Edit intent: clarity
Original:  This study proposes an incremental TTS method that uses the pseudo lookahead generated with a language model to consider the future contextual information  without increasing latency.
Revised:  This study proposes an incremental TTS method that uses a pseudo lookahead generated with a language model to consider the future contextual information without increasing latency.
Edit intent: fluency
Original:  This study proposes an incremental TTS method that uses the pseudo lookahead generated with a language model to consider the future contextual information  without increasing latency.
Revised:  This study proposes an incremental TTS method that uses the pseudo lookahead generated with a language model to take the future contextual information without increasing latency.
Edit intent: clarity
Original:  This study proposes an incremental TTS method that uses the pseudo lookahead generated with a language model to consider the future contextual information  without increasing latency.
Revised:  This study proposes an incremental TTS method that uses the pseudo lookahead generated with a language model to consider the future contextual information into account without increasing latency.
Edit intent: clarity
Original:  Evaluation results show that our method 1) achieves higher speech quality without increasing the latency than the method using only observed information  and 2) reduces the latency while achieving the equivalent speech quality to waiting for the future context observation.
Revised:  Evaluation results show that our method 1) achieves higher speech quality than the method using only observed information and 2) reduces the latency while achieving the equivalent speech quality to waiting for the future context observation.
Edit intent: clarity
Original:  Evaluation results show that our method 1) achieves higher speech quality without increasing the latency than the method using only observed information  and 2) reduces the latency while achieving the equivalent speech quality to waiting for the future context observation.
Revised:  Evaluation results show that our method 1) achieves higher speech quality without increasing the latency than the method taking only observed information and 2) reduces the latency while achieving the equivalent speech quality to waiting for the future context observation.
Edit intent: fluency
Original:  Evaluation results show that our method 1) achieves higher speech quality without increasing the latency than the method using only observed information  and 2) reduces the latency while achieving the equivalent speech quality to waiting for the future context observation.
Revised:  Evaluation results show that our method 1) achieves higher speech quality without increasing the latency than the method using only observed information into account and 2) reduces the latency while achieving the equivalent speech quality to waiting for the future context observation.
Edit intent: clarity
Original:  Evaluation results show that our method 1) achieves higher speech quality without increasing the latency than the method using only observed information  and 2) reduces the latency while achieving the equivalent speech quality to waiting for the future context observation.
Revised:  Evaluation results show that our method 1) achieves higher speech quality without increasing the latency than the method using only observed information and 2) achieves a speech quality equivalent to waiting for the future context observation.
Edit intent: clarity
Original:  However, it is significantly more challenging to construct optimal preconditioners for them compared to semi-implicit RK (aka diagonally implicit RK  or DIRK) schemes.
Revised:  However, it is significantly more challenging to construct optimal preconditioners for them compared to diagonally implicit RK or DIRK) schemes.
Edit intent: coherence
Original:  However, it is significantly more challenging to construct optimal preconditioners for them compared to semi-implicit RK (aka diagonally implicit RK  or DIRK) schemes.
Revised:  However, it is significantly more challenging to construct optimal preconditioners for them compared to semi-implicit RK (aka diagonally implicit RK ( or DIRK) schemes.
Edit intent: fluency
Original: We consider linear sparse recovery problems where additional structure of the sparsity in the solution is known.
Revised: We consider linear sparse recovery problems where additional structure regarding the support of the solution is known.
Edit intent: clarity
Original:  The convergence and error of the method was analyzed with respect to mutual coherence.
Revised:  The convergence and error of the method are analyzed with respect to mutual coherence.
Edit intent: clarity
Original:  Numerical simulations are examined in the context of an inverse source problem, including modifications for off-grid recovery .
Revised:  Numerical simulations are examined in the context of an inverse source problem, including modifications for off-grid recovery 
Edit intent: fluency
Original:  Such amplification leads to substantially stronger privacy guarantees for systems in which data is contributed anonymously [BEMMRLRKTS17] and for the analysis of noisy stochastic gradient descent  .
Revised:  Such amplification implies substantially stronger privacy guarantees for systems in which data is contributed anonymously [BEMMRLRKTS17] and for the analysis of noisy stochastic gradient descent .
Edit intent: clarity
Original:  This significantly improves over previous work and achieves the asymptotically optimal dependence on \varepsilon_0.
Revised:  This significantly improves over previous work and achieves the asymptotically optimal dependence in \varepsilon_0.
Edit intent: clarity
Original:  Our work also yields an empirical method to derive tighter bounds on the central \varepsilon and we show that it gets to within a small constant factor of the correct bound.
Revised:  Our work also yields an empirical method to derive tighter bounds the resulting \varepsilon and we show that it gets to within a small constant factor of the correct bound.
Edit intent: clarity
Original:  Our work also yields an empirical method to derive tighter bounds on the central \varepsilon and we show that it gets to within a small constant factor of the correct bound.
Revised:  Our work also yields an empirical method to derive tighter bounds on the central \varepsilon and we show that it gets to within a small constant factor of the optimal bound.
Edit intent: clarity
Original:  As a direct corollary of our analysis  we derive a simple and asymptotically optimal algorithm for discrete distribution estimation in the shuffle model of privacy CSUZZ19 .
Revised:  As a direct corollary of our analysis , we derive a simple and asymptotically optimal algorithm for discrete distribution estimation in the shuffle model of privacy CSUZZ19 .
Edit intent: fluency
Original:  Such amplification implies substantially stronger privacy guarantees for systems in which data is contributed anonymously [BEMMRLRKTS17] and has lead to significant interest in the shuffle model of privacy [CSUZZ19 , EFMRTT19].
Revised:  Such amplification implies substantially stronger privacy guarantees for systems in which data is contributed anonymously [BEMMRLRKTS17] and has lead to significant interest in the shuffle model of privacy [CSUZZ19 ; EFMRTT19].
Edit intent: fluency
Original:  Our work also yields an empirical method to derive tighter bounds the resulting \varepsilon and we show that it gets to within a small constant factor of the optimal bound.
Revised:  Importantly, our work also yields an empirical method to derive tighter bounds the resulting \varepsilon and we show that it gets to within a small constant factor of the optimal bound.
Edit intent: coherence
Original:  Our work also yields an empirical method to derive tighter bounds the resulting \varepsilon and we show that it gets to within a small constant factor of the optimal bound.
Revised:  Our work also yields an algorithm for deriving tighter bounds on the resulting \varepsilon and we show that it gets to within a small constant factor of the optimal bound.
Edit intent: clarity
Original:  As a direct corollary of our analysis , we derive a simple and asymptotically optimal algorithm for discrete distribution estimation in the shuffle model of privacy.
Revised:  As a direct corollary of our analysis we derive a simple and asymptotically optimal algorithm for discrete distribution estimation in the shuffle model of privacy.
Edit intent: fluency
Original:  In this work, we present the first FC-based persistent object  . Specifically, we introduce a detectable FC-based implementation of a concurrent LIFO stack object .
Revised:  In this work, we present the first FC-based persistent object implementations . Specifically, we introduce a detectable FC-based implementation of a concurrent LIFO stack object .
Edit intent: clarity
Original:  Our empirical evaluation establishes that thanks to the usage of flat combining, the novel stack algorithm requires a much smaller number of costly persistence instructions than competing algorithms and is therefore able to significantly outperform them.
Revised:  Our empirical evaluation establishes that due to flat combining, the novel stack algorithm requires a much smaller number of costly persistence instructions than competing algorithms and is therefore able to significantly outperform them.
Edit intent: clarity
Original:  Our empirical evaluation establishes that thanks to the usage of flat combining, the novel stack algorithm requires a much smaller number of costly persistence instructions than competing algorithms and is therefore able to significantly outperform them.
Revised:  Our empirical evaluation establishes that thanks to the usage of flat combining, the novel implementations require a much smaller number of costly persistence instructions than competing algorithms and is therefore able to significantly outperform them.
Edit intent: clarity
Original:  Our empirical evaluation establishes that thanks to the usage of flat combining, the novel stack algorithm requires a much smaller number of costly persistence instructions than competing algorithms and is therefore able to significantly outperform them.
Revised:  Our empirical evaluation establishes that thanks to the usage of flat combining, the novel stack algorithm requires a much smaller number of costly persistence instructions than competing algorithms and are therefore able to significantly outperform them.
Edit intent: fluency
Original: Given a regular version of the joint distribution of two random variables X,Y on some second countable locally compact Hausdorff space, we investigate the statistical approximation of the L^2-operator defined by [Pf](x) := E[ f(Y) \mid X = x ] under minimal assumptions.
Revised: Given the joint distribution of two random variables X,Y on some second countable locally compact Hausdorff space, we investigate the statistical approximation of the L^2-operator defined by [Pf](x) := E[ f(Y) \mid X = x ] under minimal assumptions.
Edit intent: clarity
Original:  We applied the principles of the Projective Consciousness Model (PCM) to derive a unified model of appraisal and social-affective perspective taking, and their role in the motivation of action  .
Revised:  We applied the principles of the Projective Consciousness Model (PCM) to derive a model of appraisal and social-affective perspective taking, and their role in the motivation of action .
Edit intent: clarity
Original:  We show how the PCM can account for known relationships between appraisal and distance as an inverse distance law, and how it can be generalised to implement Theory of Mind.
Revised:  We show how these principles can account for known relationships between appraisal and distance as an inverse distance law, and how it can be generalised to implement Theory of Mind.
Edit intent: clarity
Original:  We applied the principles of the Projective Consciousness Model (PCM) to derive a model of appraisal and social-affective perspective taking, and their role in the motivation of action, based on the  concept of Field of Consciousness , central to the PCM . We show how these principles can account for known relationships between appraisal and distance as an inverse distance law, and how it can be generalised to implement Theory of Mind  .
Revised:  We applied the principles of the Projective Consciousness Model (PCM) , based on the concept of Field of Consciousness , central to the PCM . We show how these principles can account for known relationships between appraisal and distance as an inverse distance law, and how it can be generalised to implement Theory of Mind .
Edit intent: coherence
Original:  We applied the principles of the Projective Consciousness Model (PCM) to derive a model of appraisal and social-affective perspective taking, and their role in the motivation of action, based on the  concept of Field of Consciousness , central to the PCM . We show how these principles can account for known relationships between appraisal and distance as an inverse distance law, and how it can be generalised to implement Theory of Mind  .
Revised:  We applied the principles of the Projective Consciousness Model (PCM) to derive a model of appraisal and social-affective perspective taking, and their role in the motivation of action, based on the concept of Field of Consciousness . We show how these principles can account for known relationships between appraisal and distance as an inverse distance law, and how it can be generalised to implement Theory of Mind .
Edit intent: clarity
Original:  We applied the principles of the Projective Consciousness Model (PCM) to derive a model of appraisal and social-affective perspective taking, and their role in the motivation of action, based on the  concept of Field of Consciousness , central to the PCM . We show how these principles can account for known relationships between appraisal and distance as an inverse distance law, and how it can be generalised to implement Theory of Mind  .
Revised:  We applied the principles of the Projective Consciousness Model (PCM) to derive a model of appraisal and social-affective perspective taking, and their role in the motivation of action, based on the concept of Field of Consciousness , central to the PCM . We show how these principles can account for documented relationships between appraisal and distance as an inverse distance law, and how it can be generalised to implement Theory of Mind .
Edit intent: clarity
Original:  We used simulations of artificial agents  based on psychological rationale  to demonstrate how different model parameters could generate a variety of emergent adaptive and maladaptive behaviours  :
Revised:  We used simulations of artificial agents , based on psychological rationale to demonstrate how different model parameters could generate a variety of emergent adaptive and maladaptive behaviours :
Edit intent: fluency
Original:  We used simulations of artificial agents  based on psychological rationale  to demonstrate how different model parameters could generate a variety of emergent adaptive and maladaptive behaviours  :
Revised:  We used simulations of artificial agents based on psychological rationale , to demonstrate how different model parameters could generate a variety of emergent adaptive and maladaptive behaviours :
Edit intent: fluency
Original:  In "Triangle-creation processes on cubic graphs", we introduced a new type of switch, called the triangle switch, which creates or deletes a triangle at each step.
Revised:  We study a restricted set of switches, called triangle switches. Each triangle switch creates or deletes a triangle at each step.
Edit intent: clarity
Original:  However, irreducibility on d-regular graphs , for any d%DIFDELCMD < \geq3%%% , is far from a straightforward generalisation of the cubic result, and this question was left open in that paper.
Revised:  However, irreducibility on d-regular graphs %DIFDELCMD < \geq3%%% , is far from a straightforward generalisation of the cubic result, and this question was left open in that paper.
Edit intent: clarity
Original:  In the pragmatic settings of a limited field of view (FoV)sensors, computing and communication resources of nodes , we develop a novel distributed multi-target algorithm that fuses local multi-object states instead of local multi-object densities.
Revised:  In the practical setting of nodes with limited field of view (FoV)sensors, computing and communication resources of nodes , we develop a novel distributed multi-target algorithm that fuses local multi-object states instead of local multi-object densities.
Edit intent: clarity
Original:  In the pragmatic settings of a limited field of view (FoV)sensors, computing and communication resources of nodes , we develop a novel distributed multi-target algorithm that fuses local multi-object states instead of local multi-object densities.
Revised:  In the pragmatic settings of a limited field of views (FoVs), computing power and communication resources of nodes , we develop a novel distributed multi-target algorithm that fuses local multi-object states instead of local multi-object densities.
Edit intent: clarity
Original:  In the pragmatic settings of a limited field of view (FoV)sensors, computing and communication resources of nodes , we develop a novel distributed multi-target algorithm that fuses local multi-object states instead of local multi-object densities.
Revised:  In the pragmatic settings of a limited field of view (FoV)sensors, computing and communication resources , we develop a novel distributed multi-target algorithm that fuses local multi-object states instead of local multi-object densities.
Edit intent: clarity
Original:  In the pragmatic settings of a limited field of view (FoV)sensors, computing and communication resources of nodes , we develop a novel distributed multi-target algorithm that fuses local multi-object states instead of local multi-object densities.
Revised:  In the pragmatic settings of a limited field of view (FoV)sensors, computing and communication resources of nodes , we develop a novel distributed multi-object states instead of local multi-object densities.
Edit intent: clarity
Original:  This algorithmuses a novel label consensus approach that reduces label inconsistency , caused by movements of objects from one node's limited FoV to another.
Revised:  This algorithmuses a novel label consensus approachlabel consensus approach that reduces label inconsistency , caused by movements of objects from one node's limited FoV to another.
Edit intent: fluency
Original:  This algorithmuses a novel label consensus approach that reduces label inconsistency , caused by movements of objects from one node's limited FoV to another.
Revised:  This algorithmuses a novel label consensus approach that reduces label inconsistency caused by objects' movements from one node's limited FoV to another.
Edit intent: clarity
Original:  fast and requires significantly less processing time than fusion methods using multi-object filtering densities, and ii) achieves better tracking accuracy by considering tracking errors measured by the Optimal Sub-Pattern Assignment (OSPA) metric over several scans rather than a single scan . Numerical experiments demonstrate the real-time capability of our proposed solution , in computational efficiency and accuracy compared to state-of-the-art solutions in challenging scenarios  .
Revised:  fast and requires significantly less processing time than multi-object filtering densities, and ii) achieves better tracking accuracy by considering tracking errors measured by the Optimal Sub-Pattern Assignment (OSPA) metric over several scans rather than a single scan . Numerical experiments demonstrate the real-time capability of our proposed solution , in computational efficiency and accuracy compared to state-of-the-art solutions in challenging scenarios .
Edit intent: clarity
Original:  fast and requires significantly less processing time than fusion methods using multi-object filtering densities, and ii) achieves better tracking accuracy by considering tracking errors measured by the Optimal Sub-Pattern Assignment (OSPA) metric over several scans rather than a single scan . Numerical experiments demonstrate the real-time capability of our proposed solution , in computational efficiency and accuracy compared to state-of-the-art solutions in challenging scenarios  .
Revised:  fast and requires significantly less processing time than fusion methods using multi-object filtering densities, and ii) achieves better tracking accuracy by considering Optimal Sub-Pattern Assignment (OSPA) metric over several scans rather than a single scan . Numerical experiments demonstrate the real-time capability of our proposed solution , in computational efficiency and accuracy compared to state-of-the-art solutions in challenging scenarios .
Edit intent: clarity