wanyu/IteraTeR_v2 huggingface dataset:
Original: We model the evolution of the covid-19 epidemic in Belgium with an age-structured extended SEIR-QD epidemic model with separated consideration for nursery homes.
Revised: We model the evolution of the covid-19 epidemic in Belgium with an age-structured extended SEIR-QD epidemic model with separated consideration for nursing homes.
Edit intent: clarity
Original:  The model is calibrated on hospitals' data, number of deaths, nursery homes' tests and serological tests.
Revised:  The model is calibrated on hospitals' data, number of deaths, nursing homes' tests and serological tests.
Edit intent: fluency
Original:  We present the current situation on September 2020 as well as long-term scenarios-based forecasts with the possibility of a second wave in function of new transmissions from contacts at school .
Revised:  We present the current situation on September 2020 as well as long-term scenarios-based forecasts concerning the second wave and subsequent lifting of measures .
Edit intent: clarity
Original: We model the evolution of the covid-19 epidemic in Belgium with an age-structured extended SEIR-QD epidemic modelwith separated consideration for nursing homes .
Revised: We model the evolution of the covid-19 epidemic in Belgium with a deterministic age-structured extended SEIR-QD epidemic modelwith separated consideration for nursing homes .
Edit intent: clarity
Original:  We present the current situation in November 2020 as well as long-term scenarios-based forecasts concerning the second wave and subsequent lifting of measures .
Revised:  We present the situation as in November 2020 as well as long-term scenarios-based forecasts concerning the second wave and subsequent lifting of measures .
Edit intent: clarity
Original: Following the spread of the covid-19 pandemic and pending the establishment of vaccination campaigns, several non pharmaceutical interventions such as partial and full lockdown, quarantine and measures of physical distancing have been imposed in order to reduce the spread of the disease and to lift the pressure on healthcare system.
Revised: Following the spread of the COVID-19 pandemic and pending the establishment of vaccination campaigns, several non pharmaceutical interventions such as partial and full lockdown, quarantine and measures of physical distancing have been imposed in order to reduce the spread of the disease and to lift the pressure on healthcare system.
Edit intent: fluency
Original:  In this paper, we model the evolution of the covid-19 epidemic in Belgium with a deterministic age-structured extended compartmental model.
Revised:  In this paper, we model the evolution of the COVID-19 epidemic in Belgium with a deterministic age-structured extended compartmental model.
Edit intent: fluency
Original:  The model integrates social contact data and is fitted on hospitalisations data (admission and discharge), on the daily number of covid-19 deaths (with a distinction between general population and nursing homes related deaths) and results from serological studies .
Revised:  The model integrates social contact data and is fitted on hospitalisations data (admission and discharge), on the daily number of COVID-19 deaths (with a distinction between general population and nursing homes related deaths) and results from serological studies .
Edit intent: fluency
Original:  The model integrates social contact data and is fitted on hospitalisations data (admission and discharge), on the daily number of covid-19 deaths (with a distinction between general population and nursing homes related deaths) and results from serological studies .
Revised:  The model integrates social contact data and is fitted on hospitalisations data (admission and discharge), on the daily number of covid-19 deaths (with a distinction between general population and nursing home related deaths) and results from serological studies .
Edit intent: fluency
Original:  The sensitivity analysis of the estimated parameters relies on a Bayesian approach using Markov Chain Monte Carlo methods .
Revised:  The sensitivity analysis of the estimated parameters relies on a Bayesian approach .
Edit intent: clarity
Original:  We present the situation as in November 2020 with the estimation of some characteristics of the covid-19 deduced from the model.
Revised:  We present the situation as in November 2020 with the estimation of some characteristics of the COVID-19 deduced from the model.
Edit intent: fluency
Original: In many applications, it is impractical---if not even impossible---to obtain data to fit a known cubature formula (CF).
Revised: In many applications, it is impractical -- if not even impossible -- to obtain data to fit a known cubature formula (CF).
Edit intent: fluency
Original: Neuromorphic computing has recently emerged as a disruptive computational paradigm that attempts to emulate various facets of the underlying structure and functionalities of the brain in the algorithm and hardware design of next-generation machine learning platforms.
Revised: Neuromorphic computing is emerging to be a disruptive computational paradigm that attempts to emulate various facets of the underlying structure and functionalities of the brain in the algorithm and hardware design of next-generation machine learning platforms.
Edit intent: clarity
Original:  To solve this problem, we provide a multi-objective evolutionary algorithm (MOEA) based on particle swarm optimization (PSO) with crowding distance , namely network centrality guided multi-objective PSO (NC-MOPSO).
Revised:  To solve this problem, we provide a multi-objective evolutionary algorithm (MOEA) based on particle swarm optimization (PSO) , namely network centrality guided multi-objective PSO (NC-MOPSO).
Edit intent: clarity
Original:  Diffusion has an impact on the phytoplankton variability, with the impact being scale-propagated and amplified by the larger scale surface currents.
Revised:  Turbulent diffusion has an impact on the phytoplankton variability, with the impact being scale-propagated and amplified by the larger scale surface currents.
Edit intent: clarity
Original:  Our found model attains 97.2\% top-1 accuracy on Google Speech Command Dataset v1  .
Revised:  Our searched model attains 97.2\% top-1 accuracy on Google Speech Command Dataset v1 .
Edit intent: clarity
Original: We describe a new method for the random sampling of connected graphs with a specified degree sequence.
Revised: We describe a new method for the random sampling of connected networks with a specified degree sequence.
Edit intent: clarity
Original:   Our method builds on a recently introduced novel sampling approach that constructs graphs  independently (unlike edge-switching Markov Chain Monte Carlo methods) and efficiently (unlike the configuration model), and extends it to incorporate the constraint of connectivity .
Revised:  Our method builds on a recently introduced novel sampling approach that constructs graphs independently (unlike edge-switching Markov Chain Monte Carlo methods) and efficiently (unlike the configuration model), and extends it to incorporate the constraint of connectedness .
Edit intent: clarity
Original: The brain performs many nonlinear computations through intricate spiking neural networks (SNNs).
Revised: The brain efficiently performs nonlinear computations through intricate spiking neural networks (SNNs).
Edit intent: clarity
Original:  Overall, our work provides an alternative way to directly implement nonlinear computations in spike coding networks, and expands our understanding about the potential functions of multiplicative synapses.
Revised:  Overall, our work provides an alternative method for implementing nonlinear computations in spike coding networks, and expands our understanding about the potential functions of multiplicative synapses.
Edit intent: clarity
Original:  Furthermore, due to the high accuracy and low energy usage of our approach , this work may be of interest for neuromorphic computing.
Revised:  Furthermore, due to the high accuracy and robustness of the approach may be of interest for neuromorphic computing.
Edit intent: clarity
Original:  While recurrent spiking networks implementing linear computations can be directly derived and easily understood (e.g., in the spike coding network framework), the connectivity required for nonlinear computations can be harder to interpret, as they require additional non-linearities (e.g., dendritic or synaptic) weighted through supervised training.
Revised:  While recurrent spiking networks implementing linear computations can be directly derived and understood with the spike coding network framework), the connectivity required for nonlinear computations can be harder to interpret, as they require additional non-linearities (e.g., dendritic or synaptic) weighted through supervised training.
Edit intent: clarity
Original:  This results in networks requiring multiplicative synapses , which we term the multiplicative spike coding network (mSCN).
Revised:  This results in networks requiring multiplicative synapses , which we term multiplicative spike coding network (mSCN).
Edit intent: clarity
Original:  We demonstrate how the required connectivity for several nonlinear dynamical systems can be directly implemented in mSCNs, without training .
Revised:  We demonstrate how the required connectivity for several nonlinear dynamical systems .
Edit intent: clarity
Original:  Overall, our work provides an alternative method for implementing nonlinear computations in spiking neural networks, while keeping all the attractive features of standard SCNs ( such as robustness, irregular and sparse firing , and interpretable connectivity).
Revised:  Overall, our work demonstrates a novel method for implementing nonlinear computations in spiking neural networks, while keeping all the attractive features of standard SCNs ( such as robustness, irregular and sparse firing , and interpretable connectivity).
Edit intent: clarity
Original:  Overall, our work provides an alternative method for implementing nonlinear computations in spiking neural networks, while keeping all the attractive features of standard SCNs ( such as robustness, irregular and sparse firing , and interpretable connectivity).
Revised:  Overall, our work provides an alternative method for implementing nonlinear computations in spiking neural networks, while keeping the attractive features of standard SCNs ( such as robustness, irregular and sparse firing , and interpretable connectivity).
Edit intent: clarity
Original:  Overall, our work provides an alternative method for implementing nonlinear computations in spiking neural networks, while keeping all the attractive features of standard SCNs ( such as robustness, irregular and sparse firing , and interpretable connectivity).
Revised:  Overall, our work provides an alternative method for implementing nonlinear computations in spiking neural networks, while keeping all the attractive features of standard SCNs ( robustness, realistic activity patterns , and interpretable connectivity).
Edit intent: clarity
Original:  \%introduced the Ranking algorithm with the optimal 1-1{e Fifteen years later, Mehta, Saberi, Vazirani, and Vazirani (FOCS 2005) introduced the first generalization called AdWords driven by online advertising and obtained the optimal 1-1{e} competitive ratio in the special case of small bids .
Revised:  Fifteen years later, Mehta, Saberi, Vazirani, and Vazirani (FOCS 2005) introduced the first generalization called AdWords driven by online advertising and obtained the optimal 1-1{e} competitive ratio in the special case of small bids .
Edit intent: clarity
Original:  \%introduced the Ranking algorithm with the optimal 1-1{e Fifteen years later, Mehta, Saberi, Vazirani, and Vazirani (FOCS 2005) introduced the first generalization called AdWords driven by online advertising and obtained the optimal 1-1{e} competitive ratio in the special case of small bids .
Revised:  \%introduced the Ranking algorithm with the optimal 1-1{e Fifteen years later, Mehta, Saberi, Vazirani, and Vazirani (FOCS 2005) introduced the first generalization called AdWords driven by online advertising and obtained the optimal 1-1{e} competitive ratio in the special case of small bids .
Edit intent: fluency
Original:  It has been open ever since whether there is an algorithm for general bids better than the 0.5-competitive greedy algorithm.
Revised:  It has been open ever since whether there is an algorithm for general bids better than the 0.5-competitive greedy algorithm.
Edit intent: fluency
Original:  However ,  sustainability and its social impact are being positioned as key drivers of sixth generation's (6G)  standardization activities.
Revised:  However , however, would have benefited from a more inclusive consideration in the existing generations of mobile communications. To remedy this, sustainability and its social impact are being positioned as key drivers of sixth generation's (6G) standardization activities.
Edit intent: coherence
Original: Emotions are a central key for understanding human beings and of fun-damental importance regarding their impact in human and animal behaviors.
Revised: Emotions are a central key for understanding human beings and of fundamental importance regarding their impact in human and animal behaviors.
Edit intent: fluency
Original:  They have been for a long time a subject of study for various scholars includ-ing in particular philosophers and mystics 29,
Revised:  They have been for a long time a subject of study for various scholars including in particular philosophers and mystics 29,
Edit intent: fluency
Original:  22, 27, 31 . Inmodern science,
Revised:  22, 27, 31 . In modern science,
Edit intent: fluency
Original:  As far as we know, such a mathe-matical description has never been provided before.
Revised:  As far as we know, such a mathematical description has never been provided before.
Edit intent: fluency
Original:  We anticipate such an approach and the associated math-ematical modeling to become an important tool to describe emotions andtheir subsequent behavior.
Revised:  We anticipate such an approach and the associated mathematical modeling to become an important tool to describe emotions andtheir subsequent behavior.
Edit intent: fluency
Original:  We anticipate such an approach and the associated math-ematical modeling to become an important tool to describe emotions andtheir subsequent behavior.
Revised:  We anticipate such an approach and the associated math-ematical modeling to become an important tool to describe emotions and their subsequent behavior.
Edit intent: fluency
Original:  In this paper we formally prove the correctness of our approach, also validating it in practical applications and comparing it with prior art.
Revised:  We formally prove the correctness of our approach, also validating it in practical applications and comparing it with prior art.
Edit intent: coherence
Original: We introduce a general model of continuous-time opinion dynamics for an arbitrary number of agents that communicate over a network and form real-valued opinions about an arbitrary number of options.
Revised: We present a model of continuous-time opinion dynamics for an arbitrary number of agents that communicate over a network and form real-valued opinions about an arbitrary number of options.
Edit intent: clarity
Original:  We design feedback dynamics for system parameters that enable active tuning of implicit thresholds in opinion formation for sensitivity to inputs, robustness to changes in input, opinion cascades, and flexible transitions between consensus and dissensus .
Revised:  We design feedback dynamics for system parameters that enable active tuning of implicit thresholds in opinion formation for sensitivity to inputs, robustness to uncertainty, flexible transitions between consensus and dissensus .
Edit intent: clarity
Original: We present a model of continuous-time opinion dynamics for an arbitrary number of agents that communicate over a network and form real-valued opinions about an arbitrary number of options.
Revised: We propose a continuous-time opinion dynamics for an arbitrary number of agents that communicate over a network and form real-valued opinions about an arbitrary number of options.
Edit intent: clarity
Original:  Behaviors include rapid and reliable formation of multistable consensus and dissensus states, even in homogeneous networks, as well as ultra-sensitivity to inputs , robustness to uncertainty, flexible transitions between consensus and dissensus , and opinion cascades.
Revised:  For a group of agents that communicate opinions over a network, these behaviors include multistable agreement and disagreement, tunable sensitivity to input , robustness to uncertainty, flexible transitions between consensus and dissensus , and opinion cascades.
Edit intent: clarity
Original:  Behaviors include rapid and reliable formation of multistable consensus and dissensus states, even in homogeneous networks, as well as ultra-sensitivity to inputs , robustness to uncertainty, flexible transitions between consensus and dissensus , and opinion cascades.
Revised:  Behaviors include rapid and reliable formation of multistable consensus and dissensus states, even in homogeneous networks, as well as ultra-sensitivity to inputs , robustness to disturbance, flexible transition between patterns of opinions , and opinion cascades.
Edit intent: clarity
Original:  Augmenting the opinion dynamics with feedback dynamics for the attention parameter results in tunable thresholds that govern sensitivity and robustness.
Revised:  We derive network-dependent tuning rules to robustly control the system behavior and we design state-feedback dynamics for the model parameters to make the behavior adaptive to changing external conditions.
Edit intent: clarity
Original:   Our stochastic gradient computation complexity is the same as the  single-machine accelerated variance reduction methods, such as Katyusha, and our communication complexity is the same as the accelerated full batch decentralized methods, such as MSDA, and they are both optimal.
Revised:  Our stochastic gradient computation complexities are the same as the single-machine accelerated variance reduction methods, such as Katyusha, and our communication complexity is the same as the accelerated full batch decentralized methods, such as MSDA, and they are both optimal.
Edit intent: clarity
Original:   Our stochastic gradient computation complexity is the same as the  single-machine accelerated variance reduction methods, such as Katyusha, and our communication complexity is the same as the accelerated full batch decentralized methods, such as MSDA, and they are both optimal.
Revised:  Our stochastic gradient computation complexity is the same as the ones of single-machine accelerated variance reduction methods, such as Katyusha, and our communication complexity is the same as the accelerated full batch decentralized methods, such as MSDA, and they are both optimal.
Edit intent: clarity
Original: We introduce an open-source software package for error mitigation in quantum computation using zero-noise extrapolation . Error mitigation techniques improve computational performance (with respect to noise ) with minimal overhead in quantum resources by relying on a mixture of quantum sampling and classical post-processing techniques.
Revised: We introduce an open-source software package for error mitigation on noisy quantum computers . Error mitigation techniques improve computational performance (with respect to noise ) with minimal overhead in quantum resources by relying on a mixture of quantum sampling and classical post-processing techniques.
Edit intent: clarity
Original:  A perspective based on side-chain networks can provide valuable insights into the differences in global connectivity features between various dynamical states of a protein.
Revised:  A perspective based on side-chain networks can provide valuable insights into the variations in global structural connectivity between differing dynamical states of a protein.
Edit intent: clarity
Original:  As expected, there are considerable similarities of network metrics between the partially open and the closed states of the trimeric SARS-CoV2 spike protein .
Revised:  Our analysis reveals global structural reorientations between the two states of the trimeric SARS-CoV2 spike protein .
Edit intent: clarity
Original:  Our analysis reflects the paramount importance of network features, implying that computational drug design strategies stand to greatly benefit by exploiting them .
Revised:  Our analysis reflects the paramount importance of network features, implying that computational drug design strategies .
Edit intent: clarity
Original: Given the increasing complexity of many sociotechnical work domains, effective teamwork is becoming more and more crucial.
Revised: Given the increasing complexity of many sociotechnical work domains, effective teamwork has become increasingly crucial.
Edit intent: clarity
Original:  While  face-to-face communication contributes to effective teamwork,  understanding the time-varying nature and structure of team communication is limited.
Revised:  While there is evidence that face-to-face communication contributes to effective teamwork, understanding the time-varying nature and structure of team communication is limited.
Edit intent: clarity
Original:  While  face-to-face communication contributes to effective teamwork,  understanding the time-varying nature and structure of team communication is limited.
Revised:  While face-to-face communication contributes to effective teamwork, methods for understanding the time-varying nature and structure of team communication is limited.
Edit intent: clarity
Original:  While  face-to-face communication contributes to effective teamwork,  understanding the time-varying nature and structure of team communication is limited.
Revised:  While face-to-face communication contributes to effective teamwork, understanding the time-varying nature and structure of team communication are limited.
Edit intent: fluency
Original:  In this work, we combine sensor-based social analytics of Socio-metric badges (Rhythm Badge) with two visualization techniques (Dynamic Complexity Heat Maps and Network Visualizations) in order to advance an intuitive way of understanding the dynamics of team interaction.
Revised:  In this work, we combine sensor-based social analytics of Sociometric badges (Rhythm Badge) with two visualization techniques (Dynamic Complexity Heat Maps and Network Visualizations) in order to advance an intuitive way of understanding the dynamics of team interaction.
Edit intent: fluency
Original:  In this work, we combine sensor-based social analytics of Socio-metric badges (Rhythm Badge) with two visualization techniques (Dynamic Complexity Heat Maps and Network Visualizations) in order to advance an intuitive way of understanding the dynamics of team interaction.
Revised:  In this work, we combine sensor-based social analytics of Socio-metric badges (Rhythm Badge) with two visualization techniques (Dynamic Complexity Heat Maps and Network Visualizations) to advance an intuitive way of understanding the dynamics of team interaction.
Edit intent: coherence
Original:  Our results show that we are able to recover transitions in the task and in the team interaction .
Revised:  We were able to recover transitions in the task and in the team interaction .
Edit intent: clarity
Original:  Not only this, but we uncover structural changes in the energy and engagement of team members and visualize these in networks.
Revised:  Not only this, but we uncover structural changes in team member energy and engagement of team members and visualize these in networks.
Edit intent: fluency
Original:  Not only this, but we uncover structural changes in the energy and engagement of team members and visualize these in networks.
Revised:  Not only this, but we uncover structural changes in the energy and engagement , which we visualize using networks.
Edit intent: clarity