wanyu/IteraTeR_v2 huggingface dataset:
Original:   Overall, our findings indicate the potential value of mHealth technologies , as well as the importance of mHealth platform design in achieving better healthcare outcomes.
Revised:  Overall, our findings indicate the massive potential of mHealth technologies , as well as the importance of mHealth platform design in achieving better healthcare outcomes.
Edit intent: clarity
Original:   Overall, our findings indicate the potential value of mHealth technologies , as well as the importance of mHealth platform design in achieving better healthcare outcomes.
Revised:  Overall, our findings indicate the potential value of mHealth technologies and platform design in achieving better healthcare outcomes.
Edit intent: clarity
Original: Image segmentation is a central topic in image processing and computer vision and a key issue in many applications, e.g., in medical imaging, microscopy, document analysis , and remote sensing.
Revised: Image segmentation is a central topic in image processing and computer vision and a key issue in many applications, e.g., in medical imaging, microscopy, document analysis and remote sensing.
Edit intent: fluency
Original:  These regions, which may correspond  to different objects, are fundamental for the correct interpretation and classification of the scene represented by the image.
Revised:  These regions, which may correspond , e.g., to different objects, are fundamental for the correct interpretation and classification of the scene represented by the image.
Edit intent: coherence
Original:  Image segmentation is an inherently ill-posed problem.
Revised:  Image segmentation can be regarded as an ill-posed problem.
Edit intent: clarity
Original:  We also sketch numerical methods that are applied in computing solutions coming from those techniques .
Revised:  We also sketch numerical methods that are applied in computing solutions of those models .
Edit intent: clarity
Original:  However, the capabilities of these devices are constrained by high noise levels and limited error mitigation .
Revised:  However, the capabilities of these devices are constrained by high noise or error rates .
Edit intent: clarity
Original:  We improve the state-of-the art by application-specific preparation techniques: For speech recognition, we use mel frequency cepstral coefficients leading to a compact representation of the frequency spectra, and detecting car driving maneuvers can be done without the commonly used polynomial interpolation, as our evaluation suggests.
Revised:  We improve the state of the art by application-specific preparation techniques: For speech recognition, we use mel frequency cepstral coefficients leading to a compact representation of the frequency spectra, and detecting car driving maneuvers can be done without the commonly used polynomial interpolation, as our evaluation suggests.
Edit intent: fluency
Original:  Since  resistance typically has a reproductive cost to the microbes, there can be trade-offs between resistance and competitiveness depending on the environment.
Revised:  Since resistance typically has a reproductive cost , resistant mutants' fitness can depend on their environment.
Edit intent: clarity
Original:  Here we show conditions under which such trade-offs can be exploited to prevent the emergence of resistance.
Revised:  Here we show conditions under which environmental varying fitness can be exploited to prevent the emergence of resistance.
Edit intent: clarity
Original:  Leveraging the trade-offs between susceptibility and resistance when the antibiotic is applied or is not , we show how a strategy of environmental switching can suppress the infection while avoiding resistant mutants.
Revised:  Leveraging competition , we show how a strategy of environmental switching can suppress the infection while avoiding resistant mutants.
Edit intent: clarity
Original: Decentralized team problems where players have asymmetric information about the state of the underlying stochastic system have been actively studied, but games between such teams are less understood.
Revised: Decentralized team problems where players have asymmetric information about the state of the underlying stochastic system have been actively studied, but games between such teams are less understood.
Edit intent: fluency
Original:  Furthermore, if the upper and lower values of the game are identical (i.e., if the game has a value ), our bounds coincide with the value of the game.
Revised:  Furthermore, if the upper and lower values of the game are identical (i.e., if the game has a value ), our bounds coincide with the value of the game.
Edit intent: fluency
Original:  More specifically, we prepocess a trajectory in  O(n^2 \log^2 n) time and  space, such that for any subtrajectory and any horizontal query segment we can compute their Translation Invariant Fr\'echet distance in O( polylog \, n) time.
Revised:  More specifically, we preprocess a trajectory in O(n^2 \log^2 n) time and space, such that for any subtrajectory and any horizontal query segment we can compute their Translation Invariant Fr\'echet distance in O( polylog \, n) time.
Edit intent: fluency
Original:  Third, the model is applied to the large-scale case study of NYC DCAS fleet and EV charging station configuration as of July 8, 2020, which includes unique, real data for 563 Level 2 chargers and 4 DCFCs owned by NYC and 1484 EVs owned by NYC fleets distributed over 512 TAZs .
Revised:  Third, the model is applied to the large-scale case study of NYC DCAS fleet and EV charging station configuration as of July 8, 2020, which includes unique, real data for 563 Level 2 chargers and 4 Direct Current Fast Chargers (DCFCs) and 1484 EVs owned by NYC fleets distributed over 512 TAZs .
Edit intent: clarity
Original:  Third, the model is applied to the large-scale case study of NYC DCAS fleet and EV charging station configuration as of July 8, 2020, which includes unique, real data for 563 Level 2 chargers and 4 DCFCs owned by NYC and 1484 EVs owned by NYC fleets distributed over 512 TAZs .
Revised:  Third, the model is applied to the large-scale case study of NYC DCAS fleet and EV charging station configuration as of July 8, 2020, which includes unique, real data for 563 Level 2 chargers and 4 DCFCs owned by NYC and 1484 EVs distributed over 512 TAZs .
Edit intent: clarity
Original: In this paper, we propose a new framework for environmental sound synthesis using onomatopoeic wordsand sound event labels.
Revised: In this paper, we propose a framework for environmental sound synthesis using onomatopoeic wordsand sound event labels.
Edit intent: clarity
Original:  An onomatopoeic word, which is a character sequence for phonetically imitating a sound , has been shown to be effective for describing the phonetic feature of sounds.
Revised:  An onomatopoeic word, which is a character sequence for phonetically imitating a sound . An onomatopoeic word is effective for describing the phonetic feature of sounds.
Edit intent: clarity
Original:  We believe that environmental sound synthesis using onomatopoeic words  will enable us to control the fine time-frequency structural features of synthesized sounds, such as sound duration, timbre, and pitch.
Revised:  We believe that environmental sound synthesis using onomatopoeic words for environmental sound synthesis will enable us to control the fine time-frequency structural features of synthesized sounds, such as sound duration, timbre, and pitch.
Edit intent: clarity
Original:  We also propose a method of environmental sound synthesis using onomatopoeic words and sound event labels to control the fine time-frequency structure and frequency property of synthesized sounds .
Revised:  We also propose a method of environmental sound synthesis using onomatopoeic words and sound event labels . The use of sound event labels in addition to onomatopoeic words enables us to capture each sound event's feature depending on the input sound event label .
Edit intent: coherence
Original:  In this work, we show how to transfer numerous fairness notions from binary classification to a learning to rank context .
Revised:  In this work, we show how to transfer numerous fairness notions from binary classification to a learning to rank setting .
Edit intent: clarity
Original:  Our formalism allows us to design a method for incorporating fairness objectives with provable generalization guarantees.
Revised:  Our formalism allows us to design methods for incorporating fairness objectives with provable generalization guarantees.
Edit intent: fluency
Original: There is an increasing need to study the vulnerability of communication protocols in distributed systems to malicious attacks that attempt to violate  safety or liveness properties .
Revised: There is an increasing need to study the vulnerability of communication protocols in distributed systems to malicious attacks that attempt to violate properties such as safety or liveness properties .
Edit intent: clarity
Original: There is an increasing need to study the vulnerability of communication protocols in distributed systems to malicious attacks that attempt to violate  safety or liveness properties .
Revised: There is an increasing need to study the vulnerability of communication protocols in distributed systems to malicious attacks that attempt to violate safety or liveness .
Edit intent: clarity
Original:  In this paper, we propose a general methodology for formal synthesis of successful attacks against protocols where the attacker always eventually wins , called For-all attacks.
Revised:  In this paper, we propose a common methodology for formal synthesis of successful attacks against protocols where the attacker always eventually wins , called For-all attacks.
Edit intent: clarity
Original:  In this paper, we propose a general methodology for formal synthesis of successful attacks against protocols where the attacker always eventually wins , called For-all attacks.
Revised:  In this paper, we propose a general methodology for formal synthesis of successful attacks against protocols where the attacker can always eventually win , called For-all attacks.
Edit intent: clarity
Original:  As we model protocols and system architectures by finite-state automata , our methodology employs the supervisory control theory of discrete event systems , which is well suited to pose and  the synthesis of For-all attacks  where the attacker has partial observability and controllability of the system events.
Revised:  As we model protocols and system architecture by finite-state automata , our methodology employs the supervisory control theory of discrete event systems , which is well suited to pose and the synthesis of For-all attacks where the attacker has partial observability and controllability of the system events.
Edit intent: fluency
Original:  As we model protocols and system architectures by finite-state automata , our methodology employs the supervisory control theory of discrete event systems , which is well suited to pose and  the synthesis of For-all attacks  where the attacker has partial observability and controllability of the system events.
Revised:  As we model protocols and system architectures by finite-state automata and employ the supervisory control theory of discrete event systems , which is well suited to pose and the synthesis of For-all attacks where the attacker has partial observability and controllability of the system events.
Edit intent: clarity
Original:  As we model protocols and system architectures by finite-state automata , our methodology employs the supervisory control theory of discrete event systems , which is well suited to pose and  the synthesis of For-all attacks  where the attacker has partial observability and controllability of the system events.
Revised:  As we model protocols and system architectures by finite-state automata , our methodology employs the supervisory control theory of discrete event systems to pose and the synthesis of For-all attacks where the attacker has partial observability and controllability of the system events.
Edit intent: coherence
Original:  As we model protocols and system architectures by finite-state automata , our methodology employs the supervisory control theory of discrete event systems , which is well suited to pose and  the synthesis of For-all attacks  where the attacker has partial observability and controllability of the system events.
Revised:  As we model protocols and system architectures by finite-state automata , our methodology employs the supervisory control theory of discrete event systems , which is well suited to pose and solve the synthesis of For-all attacks where the attacker has partial observability and controllability of the system events.
Edit intent: clarity
Original:  As we model protocols and system architectures by finite-state automata , our methodology employs the supervisory control theory of discrete event systems , which is well suited to pose and  the synthesis of For-all attacks  where the attacker has partial observability and controllability of the system events.
Revised:  As we model protocols and system architectures by finite-state automata , our methodology employs the supervisory control theory of discrete event systems , which is well suited to pose and the synthesis of For-all attacks , where the attacker has partial observability and controllability of the system events.
Edit intent: fluency
Original:  We demonstrate our methodology using examples of man-in-the-middle attacks against the Alternating Bit Protocol and the Transmission Control Protocol .
Revised:  We consider several scenarios of person-in-themiddle attacks against ABP and TCP and present the results of attack synthesis using our methodology for each case .
Edit intent: clarity
Original:  Traditional cryo-EM model building approach is template-based homology modeling.
Revised:  The traditional cryo-EM model building approach is template-based homology modeling.
Edit intent: clarity
Original:  Manual de novo modeling is very time-consuming when no template model could be found in the database.
Revised:  Manual de novo modeling is very time-consuming when no template model is found in the database.
Edit intent: clarity
Original: While deep learning has reshaped the classical motion capture pipeline , generative, analysis-by-synthesis elements are still in use to recover fine details if a high-quality 3D model of the user is available .
Revised: While deep learning reshaped the classical motion capture pipeline , generative, analysis-by-synthesis elements are still in use to recover fine details if a high-quality 3D model of the user is available .
Edit intent: clarity
Original: While deep learning has reshaped the classical motion capture pipeline , generative, analysis-by-synthesis elements are still in use to recover fine details if a high-quality 3D model of the user is available .
Revised: While deep learning has reshaped the classical motion capture pipeline , generative, analysis-by-synthesis elements are still in use to recover fine alignment via iterative refinement .
Edit intent: clarity
Original:  Unfortunately, obtaining such a model for every user a priori is challenging, time-consuming, and limits the application scenarios .
Revised:  Unfortunately, the existing models are usually hand-crafted or learned in controlled conditions, only applicable to limited domains .
Edit intent: coherence
Original:  The volumetric body shape and appearance is then learned from scratch , while jointly refining the initial poseestimate.
Revised:  The volumetric body shape and appearance from scratch while jointly refining the initial poseestimate.
Edit intent: clarity
Original:  In this work, we present a new analysis for the algorithm of Awasthi et al.
Revised:  In this work, we present a new analysis for the algorithm of Awasthi ~et~ al.
Edit intent: fluency
Original:   (2002), showing that it is still possible to achieve near-optimal noise tolerance and sample complexity in polynomial time.
Revised:  ~ (2002), showing that it is still possible to achieve near-optimal noise tolerance and sample complexity in polynomial time.
Edit intent: fluency
Original: We study efficient PAC learning of homogeneous halfspaces in R^d in the presence of malicious noise of Valiant ~ (1985).
Revised: We study efficient PAC learning of homogeneous halfspaces in R^d in the presence of malicious noise of Valiant (1985).
Edit intent: fluency
Original:  Therefore, we exploit properties of supermodularity to propose a polynomial-time, near-optimal solution.
Revised:  We exploit properties of supermodularity to propose a polynomial-time, near-optimal solution.
Edit intent: coherence
Original:  We show the algorithm in simulations of redundant assignments of robots to goal nodes on transport networks with uncertain travel times.
Revised:  We show simulations of redundant assignments of robots to goal nodes on transport networks with uncertain travel times.
Edit intent: clarity
Original:  Recently Reinforcement Learning algorithms for pricing and hedging under realistic market conditions have attracted significant interest.
Revised:  Recently Reinforcement Learning algorithms for hedging under realistic market conditions have attracted significant interest.
Edit intent: clarity
Original:  This article introduces Monte Carlo Tree Search as a method to solve the stochastic optimal control problem underlying the pricing and hedging of financial derivatives .
Revised:  This article introduces Monte Carlo Tree Search as a method to solve the stochastic optimal control problem behind the pricing and hedging of financial derivatives .
Edit intent: clarity
Original:  This article introduces Monte Carlo Tree Search as a method to solve the stochastic optimal control problem underlying the pricing and hedging of financial derivatives .
Revised:  This article introduces Monte Carlo Tree Search as a method to solve the stochastic optimal control problem underlying the pricing and hedging tasks .
Edit intent: clarity
Original:  As compared to Q-learning it combines reinforcement learning with tree search techniques.
Revised:  As compared to Q-learning it combines Reinforcement Learning with tree search techniques.
Edit intent: fluency
Original:  In our experiments we find that Monte Carlo Tree Search, being the world-champion in games like Chess and Go, is easily capable of directly maximizing the utility of investor's terminal wealth without an intermediate mathematical theory .
Revised:  In our experiments we find that Monte Carlo Tree Search, being the world-champion in games like Chess and Go, is easily capable of maximizing the utility of investor's terminal wealth without an intermediate mathematical theory .
Edit intent: clarity
Original: For AI technology to fulfill its full promises, we must design effective mechanisms into the AI systems to support responsible AI behavior and curtail potential irresponsible use, e.g.  in areas of privacy protection, human autonomy, robustness, and prevention of biases and discrimination in automated decision making.
Revised: For AI technology to fulfill its full promises, we must have effective means to ensure Responsible AI behavior and curtail potential irresponsible use, e.g. in areas of privacy protection, human autonomy, robustness, and prevention of biases and discrimination in automated decision making.
Edit intent: clarity
Original: For AI technology to fulfill its full promises, we must design effective mechanisms into the AI systems to support responsible AI behavior and curtail potential irresponsible use, e.g.  in areas of privacy protection, human autonomy, robustness, and prevention of biases and discrimination in automated decision making.
Revised: For AI technology to fulfill its full promises, we must design effective mechanisms into the AI systems to support responsible AI behavior and curtail potential irresponsible use, e.g. , in areas of privacy protection, human autonomy, robustness, and prevention of biases and discrimination in automated decision making.
Edit intent: fluency
Original: We consider training models on private data that is distributed across user devices.
Revised: We consider training models on private data that are distributed across user devices.
Edit intent: fluency
Original:  Our extensive experimental results demonstrate that our solution is essentially able to achieve a comparable accuracy to central differential privacy with  16 bits of precision per value.
Revised:  Our extensive experimental results demonstrate that our solution is essentially able to match the accuracy to central differential privacy with 16 bits of precision per value.
Edit intent: clarity
Original:  By combing these three tools, we obtain a powerful benchmarking environment that allows us to systematically analyze large classes of algorithm spaces on complex benchmark problems.
Revised:  By combing these three tools, we obtain a powerful benchmarking environment that allows us to systematically analyze large classes of algorithms on complex benchmark problems.
Edit intent: clarity
Original:  It introduces a novel judgement intermediate between the usual inference and checking, dubbed constrained inference, to handle the presence of computation in types.
Revised:  It introduces a new judgement intermediate between the usual inference and checking, dubbed constrained inference, to handle the presence of computation in types.
Edit intent: clarity
Original:  The key property is the completeness of the system  with respect to the usual undirected one, which has been formally proven in Coq as a part of the MetaCoq project.
Revised:  The key property of the system with respect to the usual undirected one, which has been formally proven in Coq as a part of the MetaCoq project.
Edit intent: clarity
Original:  Although it plays a central role in an ongoing completeness proof for a realistic typing algorithm, the interest of bidirectionality is much wider, as it clarifies previous works in the area and gives strong insights and structure when trying to prove properties on CIC or design variations and extensions  .
Revised:  Although it plays an important role in an ongoing completeness proof for a realistic typing algorithm, the interest of bidirectionality is much wider, as it clarifies previous works in the area and gives strong insights and structure when trying to prove properties on CIC or design variations and extensions .
Edit intent: clarity
Original:  Although it plays a central role in an ongoing completeness proof for a realistic typing algorithm, the interest of bidirectionality is much wider, as it clarifies previous works in the area and gives strong insights and structure when trying to prove properties on CIC or design variations and extensions  .
Revised:  Although it plays a central role in an ongoing completeness proof for a realistic typing algorithm, the interest of bidirectionality is wider, as it clarifies previous works in the area and gives strong insights and structure when trying to prove properties on CIC or design variations and extensions .
Edit intent: clarity
Original:  Although it plays a central role in an ongoing completeness proof for a realistic typing algorithm, the interest of bidirectionality is much wider, as it clarifies previous works in the area and gives strong insights and structure when trying to prove properties on CIC or design variations and extensions  .
Revised:  Although it plays a central role in an ongoing completeness proof for a realistic typing algorithm, the interest of bidirectionality is much wider, as it gives insights and structure when trying to prove properties on CIC or design variations and extensions .
Edit intent: clarity
Original: Current state-of-the-art self-supervised learning methods for graph neural networks (GNNs) are based on contrastive learning .
Revised: Self-supervised learning provides a promising path towards eliminating the need for costly label information in representation learning on graphs. However, to achieve state-of-the-art self-supervised learning methods for graph neural networks (GNNs) are based on contrastive learning .
Edit intent: coherence