wanyu/IteraTeR_v2 huggingface dataset:
Original:  Extensive evaluation results show that a simple key-value store built on top of this abstraction can achieve high performance for both reads and writes .
Revised:  Extensive evaluation results show that a key-value store built on top of this abstraction can achieve high performance for both reads and writes .
Edit intent: clarity
Original:  Extensive evaluation results show that a simple key-value store built on top of this abstraction can achieve high performance for both reads and writes .
Revised:  Extensive evaluation results show that a simple key-value store built on top of it can achieve high performance for both reads and writes .
Edit intent: clarity
Original:  Extensive evaluation results show that a simple key-value store built on top of this abstraction can achieve high performance for both reads and writes .
Revised:  Extensive evaluation results show that a simple key-value store built on top of this abstraction can achieve high performance and efficiency with a simple implementation .
Edit intent: clarity
Original: When addressing spatial biological questions using mathematical models, symmetries within biological systems are often exploited to simplify the problem by reducing its physical dimension.
Revised: When addressing spatial biological questions using mathematical models, symmetries within the system are often exploited to simplify the problem by reducing its physical dimension.
Edit intent: fluency
Original:  In  reduced-dimension models molecular movement is restricted to the reduced dimension, changing the nature of molecular movement , leading to quantitatively and even qualitatively inaccurate results .
Revised:  In a reduced-dimension models molecular movement is restricted to the reduced dimension, changing the nature of molecular movement , leading to quantitatively and even qualitatively inaccurate results .
Edit intent: fluency
Original:  In  reduced-dimension models molecular movement is restricted to the reduced dimension, changing the nature of molecular movement , leading to quantitatively and even qualitatively inaccurate results .
Revised:  In reduced-dimension model molecular movement is restricted to the reduced dimension, changing the nature of molecular movement , leading to quantitatively and even qualitatively inaccurate results .
Edit intent: fluency
Original:  In  reduced-dimension models molecular movement is restricted to the reduced dimension, changing the nature of molecular movement , leading to quantitatively and even qualitatively inaccurate results .
Revised:  In reduced-dimension models molecular movement is restricted to the reduced dimension, changing the nature of molecular movement . This change in molecular movement can lead to quantitatively and even qualitatively inaccurate results .
Edit intent: clarity
Original:  Within this manuscript we discuss the condition under which restricted molecular movement in reduced-dimension models accurately approximate molecular movement in the full system.
Revised:  Within this manuscript we discuss the condition under which restricted molecular movement in reduced-dimension models accurately approximates molecular movement in the full system.
Edit intent: fluency
Original:  For those systems which do not meet the condition, we present a general method for approximating unrestricted molecular movement in reduced-dimension models.
Revised:  For those systems which do not satisfy the condition, we present a general method for approximating unrestricted molecular movement in reduced-dimension models.
Edit intent: clarity
Original:  We go on to use the general method to derive a novel, mathematical robust, finite difference method for solving the 2D diffusion equation within a 1D reduced-dimension model  .
Revised:  We will derive a mathematically robust, finite difference method for solving the 2D diffusion equation within a 1D reduced-dimension model .
Edit intent: clarity
Original: Although recent end-to-end text-to-speech (TTS) systems have achieved high-quality synthesized speech , there are still several factors that degrade the quality of synthesized speech, including lack of training data or information loss during knowledge distillation.
Revised: Although recent end-to-end text-to-speech (TTS) systems have achieved high-quality speech synthesis , there are still several factors that degrade the quality of synthesized speech, including lack of training data or information loss during knowledge distillation.
Edit intent: clarity
Original:  The evaluation results for MOS and phoneme error rate demonstrate that our proposed approach improves previous models in terms of both naturalness and intelligibility.
Revised:  The evaluation results for MOS and phone error rate demonstrate that our proposed approach improves previous models in terms of both naturalness and intelligibility.
Edit intent: clarity
Original: In this paper we introduce a method called Dirac Assisted Tree (DAT)  , which can handle  heterogeneous Helmholtz equations with arbitrarily large variable wave numbers.
Revised: In this paper we introduce a method called Dirac Assisted Tree (DAT) method , which can handle heterogeneous Helmholtz equations with arbitrarily large variable wave numbers.
Edit intent: clarity
Original:  In order to solve the local problems in DAT, we shall propose a compact finite difference scheme with arbitrarily high accuracy order and low numerical dispersion for piecewise smooth coefficients and variable wave numbers.
Revised:  In order to solve the local problems in DAT, we propose a compact finite difference scheme with arbitrarily high accuracy order and low numerical dispersion for piecewise smooth coefficients and variable wave numbers.
Edit intent: coherence
Original:  Several examples will be provided to illustrate the effectiveness of DAT and compact finite difference schemes in numerically solving heterogeneous Helmholtz equations with variable wave numbers.
Revised:  Several numerical examples are provided to illustrate the effectiveness of DAT and compact finite difference schemes in numerically solving heterogeneous Helmholtz equations with variable wave numbers.
Edit intent: clarity
Original:  We shall also discuss how to solve some special two-dimensional Helmholtz equations using DAT developed for one-dimensional problems.
Revised:  We shall also discuss how to solve some special 2D Helmholtz equations using DAT developed for one-dimensional problems.
Edit intent: fluency
Original:  Dedicated to professionals and utilizing current features of Jupyter project, it allows to create highly customized applications in the format of notebooks.
Revised:  Utilizing current features of Jupyter project, it allows to create highly customized applications in the format of notebooks.
Edit intent: coherence
Original:  These notebooks, being shared with non-professional users, can be used directly or started as web applications with graphical user interface.
Revised:  These notebooks, being shared with other users, can be used directly or started as web applications with graphical user interface.
Edit intent: clarity
Original:  Our parallel computing model views data communication as a node in the computational graph for numerical simulation .
Revised:  Our parallel computing model views data communication as a node in the computational graph for numerical simulations .
Edit intent: fluency
Original:  Our main focus will be on Babai's quasi-polynomial time isomorphism test and subsequent developments that led to the design of isomorphism algorithms with a quasi-polynomial parameterized running time of the from n^{ %DIFDELCMD < \polylog %%%  k  }, where k is a graph parameter such as the maximum degree.
Revised:  Our main focus will be on Babai's quasi-polynomial time isomorphism test and subsequent developments that led to the design of isomorphism algorithms with a quasi-polynomial parameterized running time of the from n^{ %DIFDELCMD < \polylog %%% k ) }, where k is a graph parameter such as the maximum degree.
Edit intent: fluency
Original: Energy preserving reduced-order models are developed for the rotating thermal shallow water (RTSW) equation in the non-canonical Hamiltonian /Poisson form .
Revised: In this paper, Hamiltonian and energy preserving reduced-order models are developed for the rotating thermal shallow water (RTSW) equation in the non-canonical Hamiltonian /Poisson form .
Edit intent: clarity
Original: Energy preserving reduced-order models are developed for the rotating thermal shallow water (RTSW) equation in the non-canonical Hamiltonian /Poisson form .
Revised: Energy preserving reduced-order models are developed for the rotating thermal shallow water equation (RTSWE) in the non-canonical Hamiltonian /Poisson form .
Edit intent: clarity
Original:  The RTSW equation is discretized in space by the skew-symmetric finite-difference operators to preserve the Hamiltonian structure.
Revised:  The RTSW equation is discretized in space by the skew-symmetric finite-differences, that preserve the Hamiltonian structure.
Edit intent: clarity
Original:  The resulting system of ordinary differential equations is integrated in time by the energy preserving average vector field (AVF) method.
Revised:  The resulting system of ordinary differential equations is integrated in time with the energy preserving average vector field (AVF) method.
Edit intent: fluency
Original:  An energy preserving, computationally efficient reduced-order model (ROM) is constructed by proper orthogonal decomposition (POD) with the Galerkin projection  .
Revised:  The reduced-order model (ROM) is constructed by proper orthogonal decomposition (POD) with the Galerkin projection .
Edit intent: clarity
Original:  The nonlinearities in the ROM are efficiently computed by discrete empirical interpolation method (DEIM) . Preservation of the energy (Hamiltonian), and other conserved quantities ;
Revised:  The nonlinearities in the ROM are computed by applying the discrete empirical interpolation method (DEIM) . Preservation of the energy (Hamiltonian), and other conserved quantities ;
Edit intent: clarity
Original:  The nonlinearities in the ROM are efficiently computed by discrete empirical interpolation method (DEIM) . Preservation of the energy (Hamiltonian), and other conserved quantities ;
Revised:  The nonlinearities in the ROM are efficiently computed by discrete empirical interpolation (DEIM) . Preservation of the energy (Hamiltonian), and other conserved quantities ;
Edit intent: clarity
Original:  total mass, total buoyancyand total potential vorticity , by the reduced-order solutions are demonstrated which ensures the long term stability of the reduced-order solutions .
Revised:  total mass, total buoyancyand total potential vorticity , by the reduced-order solutions ensure the long-term stability of the reduced-order solutions .
Edit intent: clarity
Original:  This paper analyzes linear stability and convergence for IMEX Runge-Kutta parareal methods on dispersive equations.
Revised:  This paper analyzes linear stability and convergence for IMEX Runge-Kutta Parareal methods on non-diffusive equations.
Edit intent: clarity
Original:  By combining standard linear stability analysis with a simple convergence analysis, we find that certain parareal configurations can achieve parallel speedup on dispersive equations.
Revised:  By combining standard linear stability analysis with a simple convergence analysis, we find that certain Parareal configurations can achieve parallel speedup on dispersive equations.
Edit intent: fluency
Original:  By combining standard linear stability analysis with a simple convergence analysis, we find that certain parareal configurations can achieve parallel speedup on dispersive equations.
Revised:  By combining standard linear stability analysis with a simple convergence analysis, we find that certain parareal configurations can achieve parallel speedup on non-diffusive equations.
Edit intent: clarity
Original:  Moreover, we present two applications that involve complex geometries  to show the potential of the proposed method , including a spanner model and a fiber-reinforced composite model  .
Revised:  Moreover, we present two applications that involve complex geometries to show the potential of IBCM , including a spanner model and a fiber-reinforced composite model .
Edit intent: clarity
Original: Though significant progress has been made for the voice conversion (VC) of standard speech, VC for non-standard speech, e.g., dysarthric and second-language (L2) speech, remains a challenge, since it involves correcting for atypical prosody while maintaining speaker identity.
Revised: Though significant progress has been made for the voice conversion (VC) of typical speech, VC for non-standard speech, e.g., dysarthric and second-language (L2) speech, remains a challenge, since it involves correcting for atypical prosody while maintaining speaker identity.
Edit intent: clarity
Original: Though significant progress has been made for the voice conversion (VC) of standard speech, VC for non-standard speech, e.g., dysarthric and second-language (L2) speech, remains a challenge, since it involves correcting for atypical prosody while maintaining speaker identity.
Revised: Though significant progress has been made for the voice conversion (VC) of standard speech, VC for atypical speech, e.g., dysarthric and second-language (L2) speech, remains a challenge, since it involves correcting for atypical prosody while maintaining speaker identity.
Edit intent: clarity
Original:  To address this issue, we propose a VC system with explicit prosody modelling and deep speaker embedding (DSE) learning.
Revised:  To address this issue, we propose a VC system with explicit prosodic modelling and deep speaker embedding (DSE) learning.
Edit intent: fluency
Original:  First, a speech-encoder strives to extract robust phoneme embeddings from non-standard speech.
Revised:  First, a speech-encoder strives to extract robust phoneme embeddings from atypical speech.
Edit intent: clarity
Original:  Second, a prosody corrector takes in phoneme embeddings to infer standard phoneme duration and pitch values.
Revised:  Second, a prosody corrector takes in phoneme embeddings to infer typical phoneme duration and pitch values.
Edit intent: clarity
Original:  Third, a conversion model takes phoneme embeddings and standard prosody features as inputs to generate the converted speech, conditioned on the target DSE that is learned via speaker encoder or speaker adaptation.
Revised:  Third, a conversion model takes phoneme embeddings and typical prosody features as inputs to generate the converted speech, conditioned on the target DSE that is learned via speaker encoder or speaker adaptation.
Edit intent: clarity
Original:  Extensive experiments demonstrate that speaker  encoder based conversion model can significantly reduce dysarthric and non-native pronunciation patterns to generate near-normal and near-native speech respectively, and speaker adaptation can achieve higher speaker similarity .
Revised:  Extensive experiments demonstrate that speaker adaptation can achieve higher speaker similarity, and the speaker encoder based conversion model can significantly reduce dysarthric and non-native pronunciation patterns to generate near-normal and near-native speech respectively, and speaker adaptation can achieve higher speaker similarity .
Edit intent: coherence
Original:  Extensive experiments demonstrate that speaker  encoder based conversion model can significantly reduce dysarthric and non-native pronunciation patterns to generate near-normal and near-native speech respectively, and speaker adaptation can achieve higher speaker similarity .
Revised:  Extensive experiments demonstrate that speaker encoder based conversion model can greatly reduce dysarthric and non-native pronunciation patterns to generate near-normal and near-native speech respectively, and speaker adaptation can achieve higher speaker similarity .
Edit intent: clarity
Original:  14 of the patients received no treatment between 2 repeated scan sessions and 9 received chemoradiotherapy between sessions.
Revised:  14 of the patients received no treatment between scan sessions and 9 received chemoradiotherapy between sessions.
Edit intent: clarity
Original:  In vivo, IVIM-NET_{optim} showed less noisy and more detailed parameter maps with lower wSD for D and f than the alternatives.
Revised:  In vivo, IVIM-NET_{optim} sshowed significantly less noisy parameter maps with lower wSD for D and f than the alternatives.
Edit intent: clarity
Original:  {\bf Conclusion}: IVIM-NET_{optim} is recommended for accurate IVIM fitting to DWI data.
Revised:  {\bf Conclusion}: IVIM-NET_{optim} is recommended for IVIM fitting to DWI data.
Edit intent: clarity
Original: Machine learning has shown potential for optimizing existing molecules with more desirable properties, a critical step towards accelerating new chemical discovery.
Revised: Machine learning based methods have shown potential for optimizing existing molecules with more desirable properties, a critical step towards accelerating new chemical discovery.
Edit intent: clarity
Original:  In this work, we propose QMO, a generic query-based molecule optimization framework that exploits latent embeddings from a molecule autoencoder.
Revised:  Here we propose QMO, a generic query-based molecule optimization framework that exploits latent embeddings from a molecule autoencoder.
Edit intent: clarity
Original:  We also demonstrate significant property improvement using QMO on two new and challenging tasks that are also important in real-world discovery problems: (i) optimizing existing  SARS-CoV-2 Main Protease inhibitors toward higher binding affinity;
Revised:  We also demonstrate significant property improvement using QMO on two new and challenging tasks that are also important in real-world discovery problems: (i) optimizing existing potential SARS-CoV-2 Main Protease inhibitors toward higher binding affinity;
Edit intent: clarity
Original:  Results from QMO show high consistency with external validations, suggesting effective means of facilitating molecule optimization problems with design constraints.
Revised:  Results from QMO show high consistency with external validations, suggesting effective means to facilitate material optimization problems with design constraints.
Edit intent: clarity
Original:  Chronically stressed mothers and controls matched on enrollment at 32 weeks of gestation were studied.
Revised:  Chronically stressed mothers and controls matched on enrolment at 32 weeks of gestation were studied.
Edit intent: fluency
Original:  Our DL models predict excellently the chronic stress exposure  , the individual psychological score , and FSI values at 34 weeks of gestation and maternal cortisol at birth  .
Revised:  Our DL models predict excellently the chronic stress exposure , the individual psychological score , and FSI at 34 weeks of gestation and maternal cortisol at birth .
Edit intent: clarity
Original: In a pregnant mother and her fetus, chronic prenatal stress results in entrainment of the fetal heartbeat by the maternal heartbeat, quantified by the fetal stress index (FSI).
Revised: In the pregnant mother and her fetus, chronic prenatal stress results in entrainment of the fetal heartbeat by the maternal heartbeat, quantified by the fetal stress index (FSI).
Edit intent: fluency
Original:  Chronically stressed mothers and controls matched on enrolment at 32 weeks of gestation were studied.
Revised:  Chronically stressed mothers and controls matched at enrolment at 32 weeks of gestation were studied.
Edit intent: clarity
Original:  We validated the chronic stress exposure by psychological inventory, maternal hair cortisol , and FSI.
Revised:  We validated the chronic stress exposure by psychological inventory, maternal hair cortisol and FSI.
Edit intent: fluency
Original:  The developed DL model can be deployed in low-cost regular ECG biosensors as a simple  ubiquitous early stress detection and exposure tool during pregnancy.
Revised:  The developed DL model can be deployed in low-cost regular ECG biosensors as a simple , ubiquitous early stress detection and exposure tool during pregnancy.
Edit intent: fluency
Original:  The developed DL model can be deployed in low-cost regular ECG biosensors as a simple  ubiquitous early stress detection and exposure tool during pregnancy.
Revised:  The developed DL model can be deployed in low-cost regular ECG biosensors as a simple ubiquitous early stress detection and monitoring tool during pregnancy.
Edit intent: clarity
Original:  When fairness metrics are defined , they are typically argued for by highlighting their mathematical properties.
Revised:  When fairness metrics are proposed , they are typically argued for by highlighting their mathematical properties.
Edit intent: clarity
Original:  The most natural moral extension is that independence needs to be fulfilled if and only if differences in predictive features (e.g. , ability to perform well on a job, propensity to commit a crime, etc. ) between socio-demographic groups are caused by unjust social disparities and measurement errors.
Revised:  The most natural moral extension is that independence needs to be fulfilled if and only if differences in predictive features (e.g. , ability to perform well on a job, propensity to commit a crime, etc. ) between socio-demographic groups are caused by unjust social disparities or measurement errors.
Edit intent: fluency
Original:  Owing to the outperformance of GNN in learning on graph data , GNN methods have been widely applied in many fields.
Revised:  Owing to the superiority of GNN in learning on graph data , GNN methods have been widely applied in many fields.
Edit intent: clarity
Original:  This article aims to provide a comprehensive review of recent research efforts on graph neural network based recommender systems.
Revised:  This article aims to provide a comprehensive review of the most recent works on GNN-based recommender systems.
Edit intent: clarity
Original:  Rather, our study surfaces a swath of normative questions about how, when, and even whether this data should be collected .
Revised:  Rather, our study surfaces a swath of normative questions about how, when, and whether this data should be collected .
Edit intent: clarity
Original:  Surgical data science is a new research field that aims to improve the quality of interventional healthcare through the capture, organization, analysis and modeling of data.
Revised:  Surgical Data Science (SDS) is a new research field that aims to improve the quality of interventional healthcare through the capture, organization, analysis and modeling of data.
Edit intent: clarity
Original:  Based on an international workshop involving leading researchers in the field of surgical data science , we review current practice, key achievements and initiatives as well as available standards and tools for a number of topics relevant to the field, namely (1) technical infrastructure for data acquisition, storage and access in the presence of regulatory constraints, (2) data annotation and sharing and (3) data analytics.
Revised:  Based on an international workshop involving leading researchers in the field of SDS , we review current practice, key achievements and initiatives as well as available standards and tools for a number of topics relevant to the field, namely (1) technical infrastructure for data acquisition, storage and access in the presence of regulatory constraints, (2) data annotation and sharing and (3) data analytics.
Edit intent: clarity