wanyu/IteraTeR_v2 huggingface dataset:
Original:  We  compare the performance of pathway elaboration with the stochastic simulation algorithm (SSA) for MFPT estimation on 237 of the reactions for which SSA is feasible.
Revised:  We then compare the performance of pathway elaboration with the stochastic simulation algorithm (SSA) for MFPT estimation on 237 of the reactions for which SSA is feasible.
Edit intent: coherence
Original:  In particular,  we design combinatorial algorithms that provide instance-specific delay guarantees in nearly linear preprocessing time.
Revised:  In particular, we design combinatorial algorithms that provide instance-specific delay guarantees in linear preprocessing time.
Edit intent: clarity
Original:  We also present new results involving tradeoff between preprocessing time and delay guarantees for enumeration of path queries that contain projections.
Revised:  We also present new results involving tradeoff between preprocessing time and delay guarantees for enumeration of path queries that contain projections.
Edit intent: fluency
Original:  Our results can therefore be also interpreted as sparse, output-sensitive matrix multiplication with delay guarantees.
Revised:  Our results can therefore also be interpreted as sparse, output-sensitive matrix multiplication with delay guarantees.
Edit intent: fluency
Original:  CQs with projection where the join attribute is projected away is equivalent to boolean matrix multiplication .
Revised:  CQs with projection where the join attribute is projected away .
Edit intent: clarity
Original: We monitor online conversations of Italian users around vaccines on Twitter, and we provide public access to the on-going data collection which will run continuously throughout the vaccination campaign  in Italy.
Revised: We monitor online conversations of Italian users around vaccines on Twitter, and we provide public access to the on-going data collection which will run continuously throughout the vaccination campaign taking place in Italy.
Edit intent: clarity
Original:  We report a consistent amount of low-credibility information shared on Twitter , whose prevalence is  comparable to high-credibility information with a 1:4 ratio in the number of shared tweets .
Revised:  We report a consistent amount of low-credibility information shared on Twitter , whose prevalence is comparable to high-credibility information .
Edit intent: coherence
Original:  An up-to-date collection of tweets will be available here: URL
Edit intent: coherence
Original:  Thus, topology and quality of the original mesh are preserved, enabling application of POD-based reduced order modeling techniques, and avoiding the necessity to additional meshing steps  .
Revised:  Thus, topology and quality of the original mesh are preserved, enabling application of POD-based reduced order modeling techniques, and avoiding the necessity of additional meshing steps .
Edit intent: fluency
Original: Parler is as an alternative social network promoting itself as a service that allows its users to " Speak freely and express yourself openly, without fear of being deplatformed for your views."
Revised: Parler is as an "alternative" social network promoting itself as a service that allows its users to " Speak freely and express yourself openly, without fear of being deplatformed for your views."
Edit intent: fluency
Original: Parler is as an alternative social network promoting itself as a service that allows its users to " Speak freely and express yourself openly, without fear of being deplatformed for your views."
Revised: Parler is as an alternative social network promoting itself as a service that allows to " Speak freely and express yourself openly, without fear of being deplatformed for your views."
Edit intent: clarity
Original: Parler is as an alternative social network promoting itself as a service that allows its users to " Speak freely and express yourself openly, without fear of being deplatformed for your views."
Revised: Parler is as an alternative social network promoting itself as a service that allows its users to " speak freely and express yourself openly, without fear of being deplatformed for your views."
Edit intent: fluency
Original:  In particular, the service was endorsed by several conservative public figures, encouraging people to migrate there from traditional social networks.
Revised:  In particular, the service was endorsed by several conservative public figures, encouraging people to migrate from traditional social networks.
Edit intent: clarity
Original:  After the events of January 6  2021, Parler has been progressively deplatformed, with its app being removed from popular mobile stores and the entire website being taken down by their hosting provider.
Revised:  After the events of January 6 2021, Parler has been progressively deplatformed, with its app being removed from popular mobile stores and the website taken down by their hosting provider.
Edit intent: clarity
Original:  After the events of January 6  2021, Parler has been progressively deplatformed, with its app being removed from popular mobile stores and the entire website being taken down by their hosting provider.
Revised:  After the events of January 6 2021, Parler has been progressively deplatformed, with its app being removed from popular mobile stores and the entire website being taken down by the hosting provider.
Edit intent: clarity
Original:  We also find that discussion on the platform is dominated by conservative topics, President Trump, as well as conspiracy theories like QAnon.
Revised:  We also show that discussion on the platform is dominated by conservative topics, President Trump, as well as conspiracy theories like QAnon.
Edit intent: clarity
Original:  The asymptotic rate of growth of the grid sizes and of the comparability constant must grow in a controlled manner.
Revised:  The asymptotic rate of growth of the grid sizes and of the comparability constants must grow in a controlled manner.
Edit intent: fluency
Original:  In this paper  we generalize the notion of a WAM to a hierarchical subspaces of not necessarily polynomial functions, and we analyze particular strategies for random sampling as a technique for generating WAMs . Our main results show that WAM's and their stronger variant, admissible meshes  , can be generated by random sampling, and our analysis provides concrete estimates for growth of both the meshes and the discrete-continuum comparability constants.
Revised:  In this paper , we generalize the notion of a WAM to a hierarchical subspaces of not necessarily polynomial functions, and we analyze particular strategies for random sampling as a technique for generating WAMs . Our main results show that WAM's and their stronger variant, admissible meshes , can be generated by random sampling, and our analysis provides concrete estimates for growth of both the meshes and the discrete-continuum comparability constants.
Edit intent: fluency
Original:  In this paper  we generalize the notion of a WAM to a hierarchical subspaces of not necessarily polynomial functions, and we analyze particular strategies for random sampling as a technique for generating WAMs . Our main results show that WAM's and their stronger variant, admissible meshes  , can be generated by random sampling, and our analysis provides concrete estimates for growth of both the meshes and the discrete-continuum comparability constants.
Revised:  In this paper we generalize the notion of a WAM to a hierarchical subspaces of not necessarily polynomial functions, and we analyze particular strategies for random sampling as a technique for generating WAM's . Our main results show that WAM's and their stronger variant, admissible meshes , can be generated by random sampling, and our analysis provides concrete estimates for growth of both the meshes and the discrete-continuum comparability constants.
Edit intent: fluency
Original:  In this paper  we generalize the notion of a WAM to a hierarchical subspaces of not necessarily polynomial functions, and we analyze particular strategies for random sampling as a technique for generating WAMs . Our main results show that WAM's and their stronger variant, admissible meshes  , can be generated by random sampling, and our analysis provides concrete estimates for growth of both the meshes and the discrete-continuum comparability constants.
Revised:  In this paper we generalize the notion of a WAM to a hierarchical subspaces of not necessarily polynomial functions, and we analyze particular strategies for random sampling as a technique for generating WAMs . Our main results show that WAM's and their stronger variant, admissible meshes (AM's) , can be generated by random sampling, and our analysis provides concrete estimates for growth of both the meshes and the discrete-continuum comparability constants.
Edit intent: clarity
Original: Remote photoplethysmography (rPPG) is a known family of techniques for monitoring blood volume changes from a camera.
Revised: Remote photoplethysmography (rPPG) , a family of techniques for monitoring blood volume changes from a camera.
Edit intent: coherence
Original:  It may be especially useful for widespread contact-less health monitoring when used to analyze face video from consumer-grade visible-light cameras.
Revised:  It may be especially useful for widespread contactless health monitoring using face video from consumer-grade visible-light cameras.
Edit intent: clarity
Original:  The COVID-19 pandemic has caused the widespread use of protective face masks to prevent virus transmission .
Revised:  The COVID-19 pandemic has caused the widespread use of protective face masks .
Edit intent: clarity
Original:  We found that occlusions from face masks affect face video-based rPPG as the mean absolute error of blood volume estimation is nearly doubled when the face is partially occluded by protective masks\\%DIF > when deploying methods  .
Revised:  We found that occlusions from cloth face masks increased the mean absolute error of blood volume estimation is nearly doubled when the face is partially occluded by protective masks\\%DIF > when deploying methods .
Edit intent: clarity
Original:  To our knowledge, this paper is the first to analyse the impact of face masks on the accuracy of blood volume pulse estimation and offers several novel elements :
Revised:  To our knowledge, this paper is the first to analyse the impact of face masks on the accuracy of pulse estimation and offers several novel elements :
Edit intent: clarity
Original:  To our knowledge, this paper is the first to analyse the impact of face masks on the accuracy of blood volume pulse estimation and offers several novel elements :
Revised:  To our knowledge, this paper is the first to analyse the impact of face masks on the accuracy of blood volume pulse estimation and offers several novel contributions :
Edit intent: clarity
Original:  (a)  two publicly available pulse estimation datasets acquired from 86 unmasked and 61 masked subjects, ( b ) evaluations of handcrafted algorithms and a 3D convolutional neural network trained on videos of full (unmasked ) faces and synthetically generated masks , and ( c ) data augmentation method (a generator adding a synthetic mask to a face video ).
Revised:  (a) two publicly available pulse estimation datasets acquired from 86 unmasked and 61 masked subjects, ( c ) evaluations of handcrafted algorithms and a 3D convolutional neural network trained on videos of full (unmasked ) faces and synthetically generated masks , and ( c ) data augmentation method (a generator adding a synthetic mask to a face video ).
Edit intent: clarity
Original:  (a)  two publicly available pulse estimation datasets acquired from 86 unmasked and 61 masked subjects, ( b ) evaluations of handcrafted algorithms and a 3D convolutional neural network trained on videos of full (unmasked ) faces and synthetically generated masks , and ( c ) data augmentation method (a generator adding a synthetic mask to a face video ).
Revised:  (a) two publicly available pulse estimation datasets acquired from 86 unmasked and 61 masked subjects, ( b ) evaluations of handcrafted algorithms and a 3D convolutional neural network trained on videos of unmasked faces and with masks synthetically added , and ( c ) data augmentation method (a generator adding a synthetic mask to a face video ).
Edit intent: clarity
Original:  (a)  two publicly available pulse estimation datasets acquired from 86 unmasked and 61 masked subjects, ( b ) evaluations of handcrafted algorithms and a 3D convolutional neural network trained on videos of full (unmasked ) faces and synthetically generated masks , and ( c ) data augmentation method (a generator adding a synthetic mask to a face video ).
Revised:  (a) two publicly available pulse estimation datasets acquired from 86 unmasked and 61 masked subjects, ( b ) evaluations of handcrafted algorithms and a 3D convolutional neural network trained on videos of full (unmasked ) faces and synthetically generated masks , and ( c ) data augmentation method to add a synthetic mask to a face video ).
Edit intent: clarity
Original:  After stating our hypothesis in details, we review abundant evidence on the existence of such backpropagating signals as well as other relevant literature that supports our claims .
Revised:  After stating our hypothesis in details, we review abundant evidence on the existence of backpropagating signals that have interesting properties .
Edit intent: clarity
Original:  Neural signals recorded with a variety of techniques will then include phase-locked oscillations at the stimulation frequency.
Revised:  Neural signals recorded using a variety of techniques will then include phase-locked oscillations at the stimulation frequency.
Edit intent: fluency
Original:  However, the assumptions of these tests will often be violated because amplitudes are not normally distributed, and furthermore weak signals might be missed if the phase information is discarded.
Revised:  However, the assumptions of these tests will sometimes be violated because amplitudes are not normally distributed, and furthermore weak signals might be missed if the phase information is discarded.
Edit intent: coherence
Original:  The present work demonstrates how reinforcement learning (RL) can be used for automated flowsheet synthesis without any heuristics of prior knowledge of conceptual design.
Revised:  The present work demonstrates how reinforcement learning can be used for automated flowsheet synthesis without any heuristics of prior knowledge of conceptual design.
Edit intent: clarity
Original:  A novel RL method named SynGameZero is developed to ensure good exploration schemes in the complex problem.
Revised:  A novel method named SynGameZero is developed to ensure good exploration schemes in the complex problem.
Edit intent: clarity
Original:  The RL agent plays this game against itself during training and consists of an artificial neural network and a tree search for forward planning.
Revised:  The agent plays this game against itself during training and consists of an artificial neural network and a tree search for forward planning.
Edit intent: clarity
Original:  In this setting, our goal is to compute a min-cost stable matching that matches all the agents .
Revised:  In this setting, our goal is to compute a stable matching that matches all the agents .
Edit intent: clarity
Original:  While this allegedly enables greater productivity, lack of static typing can cause runtime exceptions , type inconsistencies, and is a major factor for weak IDE support.
Revised:  While this allegedly enables greater productivity, lack of static typing can cause run-time exceptions and is a major factor for weak IDE support.
Edit intent: clarity
Original:  However, the prediction of rare and user-defined types is still challenging .
Revised:  However, it is still quite challenging for learning-based approaches to give a relevant prediction in the first suggestion or the first few ones .
Edit intent: coherence
Original:  Considering the Top-1 prediction, Type4Py obtains 19.33\%and 13.49\% higher precision than Typilus and TypeWriter, respectively , while utilizing a much bigger vocabulary .
Revised:  Considering the Top-1 prediction, Type4Py obtains 19.33\%and 13.49\% higher precision than Typilus and TypeWriter, respectively .
Edit intent: clarity
Original:  In many countries, drastic restriction measures adopted by political authorities, such as national lockdowns, have not prevented the outbreak of new pandemic's waves.
Revised:  In many countries, drastic restrictive measures adopted by political authorities, such as national lockdowns, have not prevented the outbreak of new pandemic's waves.
Edit intent: fluency
Original:  and (iii) reliably forecast the epidemic evolution.
Revised:  and (iii) reliably forecast the pandemic evolution.
Edit intent: fluency
Original:  For concreteness, we focus on the archetypal " follow the regularized leader " (FTRL) class of algorithms, and we consider the full spectrum of information uncertainty that the players may encounter - from noisy, oracle-based feedback, to bandit, payoff-based information.
Revised:  For concreteness, we focus on the archetypal follow the regularized leader " (FTRL) class of algorithms, and we consider the full spectrum of information uncertainty that the players may encounter - from noisy, oracle-based feedback, to bandit, payoff-based information.
Edit intent: fluency
Original:  For concreteness, we focus on the archetypal " follow the regularized leader " (FTRL) class of algorithms, and we consider the full spectrum of information uncertainty that the players may encounter - from noisy, oracle-based feedback, to bandit, payoff-based information.
Revised:  For concreteness, we focus on the archetypal " follow the regularized leader (FTRL) class of algorithms, and we consider the full spectrum of information uncertainty that the players may encounter - from noisy, oracle-based feedback, to bandit, payoff-based information.
Edit intent: fluency
Original:  For concreteness, we focus on the archetypal " follow the regularized leader " (FTRL) class of algorithms, and we consider the full spectrum of information uncertainty that the players may encounter - from noisy, oracle-based feedback, to bandit, payoff-based information.
Revised:  For concreteness, we focus on the archetypal " follow the regularized leader " (FTRL) family of algorithms, and we consider the full spectrum of information uncertainty that the players may encounter - from noisy, oracle-based feedback, to bandit, payoff-based information.
Edit intent: clarity
Original:  For concreteness, we focus on the archetypal " follow the regularized leader " (FTRL) class of algorithms, and we consider the full spectrum of information uncertainty that the players may encounter - from noisy, oracle-based feedback, to bandit, payoff-based information.
Revised:  For concreteness, we focus on the archetypal " follow the regularized leader " (FTRL) class of algorithms, and we consider the full spectrum of uncertainty that the players may encounter - from noisy, oracle-based feedback, to bandit, payoff-based information.
Edit intent: fluency
Original:  This result extends existing continuous-time versions of the "folk theorem " of evolutionary game theory to a bona fide discrete-time learning setting, and provides an important link between the literature on multi-armed bandits and the equilibrium refinement literature.
Revised:  This result extends existing continuous-time versions of the folk theorem of evolutionary game theory to a bona fide discrete-time learning setting, and provides an important link between the literature on multi-armed bandits and the equilibrium refinement literature.
Edit intent: fluency
Original:  This result extends existing continuous-time versions of the "folk theorem " of evolutionary game theory to a bona fide discrete-time learning setting, and provides an important link between the literature on multi-armed bandits and the equilibrium refinement literature.
Revised:  This result extends existing continuous-time versions of the "folk theorem " of evolutionary game theory to a bona fide algorithmic learning setting, and provides an important link between the literature on multi-armed bandits and the equilibrium refinement literature.
Edit intent: clarity
Original:  In recent times, machine learning has emerged as a promising tool to accelerate combustion chemistry, involving the use of regression models to predict the chemical source terms as functions of the thermochemical state of the  system.
Revised:  In recent times, machine learning has emerged as a promising tool to accelerate combustion chemistry, involving the use of regression models to predict the chemical source terms as functions of the thermochemical state of the combustion system.
Edit intent: fluency
Original:  However, combustion is a highly nonlinear phenomenon, and this often leads to divergence from the true solution when the neural network representation of chemical kinetics is integrated in time .
Revised:  However, due to the nonlinearities and multi-scale nature of combustion, the predicted solution often diverges from the true solution when the neural network representation of chemical kinetics is integrated in time .
Edit intent: clarity
Original:  However, combustion is a highly nonlinear phenomenon, and this often leads to divergence from the true solution when the neural network representation of chemical kinetics is integrated in time .
Revised:  However, combustion is a highly nonlinear phenomenon, and this often leads to divergence from the true solution when these deep learning models are coupled with a computational fluid dynamics solver .
Edit intent: clarity
Original:  This is because these approaches minimize the error during training without guaranteeing successful integration with ordinary differential equation (ODE) solvers.
Revised:  This is because these approaches minimize the error during training without guaranteeing successful integration with ordinary differential equation solvers.
Edit intent: clarity
Original:  In this work, a novel neural ODE approach to combustion modeling , ChemNODE, is developed to address this issue.
Revised:  In the present work, a novel neural ODE approach to combustion modeling , ChemNODE, is developed to address this issue.
Edit intent: fluency
Original:  In this work, a novel neural ODE approach to combustion modeling , ChemNODE, is developed to address this issue.
Revised:  In this work, a novel neural ordinary differential equations approach to modeling chemical kinetics, termed as ChemNODE, is developed to address this issue.
Edit intent: clarity
Original:  The source terms predicted by the neural network are integrated during training, and by backpropagating errors through the ODE solver , the neural network weights are adjusted accordingly to minimize the difference between the predicted and actual ODE solutions.
Revised:  The source terms predicted by the neural networks are integrated during training, and by backpropagating errors through the ODE solver , the neural network weights are adjusted accordingly to minimize the difference between the predicted and actual ODE solutions.
Edit intent: fluency
Original:  It is shown that even when the dimensionality of the thermochemical manifold is trimmed to remove redundant species, the proposed approach accurately captures the correct physical behavior and reproduces the results obtained using the full chemical kinetic mechanism  .
Revised:  It is shown that ChemNODE accurately captures the correct physical behavior and reproduces the results obtained using the full chemical kinetic mechanism .
Edit intent: clarity
Original:  The results are significant because the method is compatible with high concentrations and broad diameter distributions of scattering particles such as organelles in biological cells .
Revised:  The results are significant because the method is compatible with high concentrations and broad diameter distributions of scattering particles .
Edit intent: clarity