wanyu/IteraTeR_v2 huggingface dataset:
Original:  We show that it effectivelytransmits information from parents to offspring and significantlyimproves upon naive crossover.
Revised:  We show that it effectivelytransmits information from parents to offspring and significantly improves upon naive crossover.
Edit intent: fluency
Original:  Our method is computationally fast,can serve as a way to explore the fitness landscape more efficientlyand makes safe crossover a potentially promising operator in futureneuroevolution research and applications.
Revised:  Our method is computationally fast,can serve as a way to explore the fitness landscape more efficiently and makes safe crossover a potentially promising operator in futureneuroevolution research and applications.
Edit intent: fluency
Original:  Our method is computationally fast,can serve as a way to explore the fitness landscape more efficientlyand makes safe crossover a potentially promising operator in futureneuroevolution research and applications.
Revised:  Our method is computationally fast,can serve as a way to explore the fitness landscape more efficientlyand makes safe crossover a potentially promising operator in future neuroevolution research and applications.
Edit intent: fluency
Original:  We discuss the implications of these observations for controlling the COVID-19 outbreak, emphasizing the need to implement more aggressive distancing policies in larger cities while also with preserving socioeconomic activity.
Revised:  We discuss the implications of these observations for controlling the COVID-19 outbreak, emphasizing the need to implement more aggressive distancing policies in larger cities while also preserving socioeconomic activity.
Edit intent: fluency
Original:  We overcome the bottleneck of creating gradient-based adversarial inputs in temporal domain by proposing a technique for crafting attacks from SNN .
Revised:  Also we overcome the bottleneck of creating gradient-based adversarial inputs in temporal domain by proposing a technique for crafting attacks from SNN .
Edit intent: coherence
Original:  We overcome the bottleneck of creating gradient-based adversarial inputs in temporal domain by proposing a technique for crafting attacks from SNN .
Revised:  We overcome the bottleneck of creating gradient-based adversarial inputs in temporal domain by proposing a technique for crafting attacks from SNN 
Edit intent: fluency
Original: In this paper, we propose a variational Lagrangian scheme for a modified phase-field model, which has same equilibria states with the phase-field model of Allen-Cahn type  .
Revised: In this paper, we propose a variational Lagrangian scheme for a modified phase-field model, which has same equilibrium states with the phase-field model of Allen-Cahn type .
Edit intent: fluency
Original: In this paper, we propose a variational Lagrangian scheme for a modified phase-field model, which has same equilibria states with the phase-field model of Allen-Cahn type  .
Revised: In this paper, we propose a variational Lagrangian scheme for a modified phase-field model, which has same equilibria states with the phase-field model of Allen-Cahn type model .
Edit intent: coherence
Original:  Our discretization is based on an energy-dissipation law in terms of the flow map.
Revised:  Our discretization is based on a prescribed energy-dissipation law in terms of the flow map.
Edit intent: clarity
Original: In this paper, we propose a variational Lagrangian scheme for a modified phase-field model, which has same equilibrium states with the original Allen-Cahn type model.
Revised: In this paper, we propose a variational Lagrangian scheme for a modified phase-field model, which can compute the equilibrium states for the original Allen-Cahn type model.
Edit intent: clarity
Original:  We propose a multi-task U-Net (M-U-Net) trained using a weighted multi-task loss as an alternative to the C-U-Net.
Revised:  We propose a multi-channel U-Net (M-U-Net) trained using a weighted multi-task loss as an alternative to the C-U-Net.
Edit intent: clarity
Original:  Our methods provide two-fold advantages compared to the C-U-Net : 1) Fewer effective training iterations per epoch with no conditioning, and 2) Fewer trainable network parameters (no control parameters)  .
Revised:  Our methods provide two-fold advantages compared to C-UNet : 1) Fewer effective training iterations per epoch with no conditioning, and 2) Fewer trainable network parameters (no control parameters) .
Edit intent: clarity
Original:  Our methods provide two-fold advantages compared to the C-U-Net : 1) Fewer effective training iterations per epoch with no conditioning, and 2) Fewer trainable network parameters (no control parameters)  .
Revised:  Our methods provide two-fold advantages compared to the C-U-Net : 1) Fewer effective training iterations per epoch , 2) Fewer trainable network parameters (no control parameters) .
Edit intent: clarity
Original:  It predicts that the disease will run its full course over six to seven months, starting from the date on which the world health organisation provided the first ` Situation report' (21 January 2020 - day 1).
Revised:  It predicts that the disease will run its full course over six to seven months, starting from the date on which the world health organisation provided the first ' Situation report' (21 January 2020 - day 1).
Edit intent: fluency
Original:  The disease may be expected to infect approximately 25%DIFDELCMD < \\%%% %DIF < of the global population, i.e. about 1.95 billion people, taking approximately 85 million lives.
Revised:  The disease may be expected to infect approximately 25%DIFDELCMD < \\%%% %DIF < of the global population, i.e. about 1.95 billion people, taking approximately 86 million lives.
Edit intent: style
Original:  Since our simple model fits the available global data so well, we suggests that the measures being taken so far to contain the pandemic may be ineffective in curbing the global spread of the virus.
Revised:  Since our simple model fits the available global data so well, we suggest that the measures being taken so far to contain the pandemic may be ineffective in curbing the global spread of the virus.
Edit intent: fluency
Original:  As such, the efficacy of the measures that are currently being taken to contain the coronavirus should be carefully weighed against their impact on the world economy.
Revised:  As such, the efficacy of these measures should be more carefully weighed against their impact on the world economy.
Edit intent: clarity
Original:  It predicts that the disease will run its full course over six to seven months , starting from the date on which the world health organisation provided the first ' Situation report' (21 January 2020 - day 1).
Revised:  It predicts that the disease will run its full course over six to seven months , starting from the date on which the world health organisation provided the first ` Situation report' (21 January 2020 - day 1).
Edit intent: fluency
Original:  Unless drastic new interventions become possible , the global number of new cases is predicted to peak on day 129 (about the middle of May 2020), with an estimated 65 million new cases per day.
Revised:  Under this scenario , the global number of new cases is predicted to peak on day 129 (about the middle of May 2020), with an estimated 65 million new cases per day.
Edit intent: clarity
Original:  As such, the efficacy of these measures should be more carefully weighed against their impact on the world economy.
Revised:  As such, the efficacy of these measures should be carefully timed against their potentially devastating impact on the world economy.
Edit intent: clarity
Original: We consider the problem of evaluating an aggregation query, which is a sum-of-sum query or a sum-of-product query, subject to additive inequalities.
Revised: We consider the problem of evaluating certain types of functional aggregation queries on relational data subject to additive inequalities.
Edit intent: clarity
Original:  Such aggregation queries, with a smallish number of additive inequalities, arise naturally/commonly in many applications, particularly in machine learning applications.
Revised:  Such aggregation queries, with a smallish number of additive inequalities, arise naturally/commonly in many applications, particularly in learning applications.
Edit intent: clarity
Original:  However, actual implementations need to make a large case analysis that considers, e.g., magnitude relations between all pairs of argument bounds, positional relations between the arguments and zero, and handling of the special values, i.e. infinities and NaN.
Revised:  Actual implementations need to make a large case analysis that considers, e.g., magnitude relations between all pairs of argument bounds, positional relations between the arguments and zero, and handling of the special values, i.e. infinities and NaN.
Edit intent: coherence
Original:  However, actual implementations need to make a large case analysis that considers, e.g., magnitude relations between all pairs of argument bounds, positional relations between the arguments and zero, and handling of the special values, i.e. infinities and NaN.
Revised:  However, actual implementations need to make a large case analysis that considers, e.g., magnitude relations between all pairs of argument bounds, positional relations between the arguments and zero, and handling of the special values, infinities and NaN.
Edit intent: coherence
Original:  We conducted several proof tasks for each of three properties of the target code: validity, soundness, and tightness  .
Revised:  We conduct several proof tasks for each of three properties of the target code: validity, soundness, and tightness .
Edit intent: fluency
Original:  To accomplish the proof, we propose several techniques to specify / verify the target annotated code .
Revised:  To accomplish the proof, we propose several techniques for specification / verify the target annotated code .
Edit intent: fluency
Original:  To accomplish the proof, we propose several techniques to specify / verify the target annotated code .
Revised:  To accomplish the proof, we propose several techniques to specify / verification .
Edit intent: coherence
Original:  In this study, the 172 studies that use GHTorrent as a data source were categorized within the scope of software engineering challenges and a systematic mapping study was carried out.
Revised:  In this study, the 172 studies that use GHTorrent as a data source were categorized within the scope of open source software development challenges and a systematic mapping study was carried out.
Edit intent: clarity
Original:  Previous pan-cancer datasets consisted of only up to 9 different tissues and up to 21,000 unlabeled nuclei kumar2019multi and just over 24,000 labeled nuclei with segmentation masks \mbox{ graham_hover-net:_2019 . PanNuke consists of 19 different tissue types from over 20,000 WSIs that have been semi-automatically annotated and quality controlled by clinical pathologists, leading to a dataset with statistics similar to `the clinical wild' and with minimal selection bias.
Revised:  Previous pan-cancer datasets consisted of only up to 9 different tissues and up to 21,000 unlabeled nuclei kumar2019multi and just over 24,000 labeled nuclei with segmentation masks \mbox{ graham2019hover . PanNuke consists of 19 different tissue types from over 20,000 WSIs that have been semi-automatically annotated and quality controlled by clinical pathologists, leading to a dataset with statistics similar to `the clinical wild' and with minimal selection bias.
Edit intent: clarity
Original: _2019 . Previous pan-cancer datasets consisted of only up to 9 different tissues and up to 21,000 unlabeled nuclei \mbox{ kumar2019multi and just over 24,000 labeled nuclei with segmentation masks \mbox{ graham2019hover . PanNuke consists of 19 different tissue types that have been semi-automatically annotated and quality controlled by clinical pathologists, leading to a dataset with statistics similar to ` the clinical wild ' and with minimal selection bias.
Revised: _2019 . Previous pan-cancer datasets consisted of only up to 9 different tissues and up to 21,000 unlabeled nuclei and just over 24,000 labeled nuclei with segmentation masks \mbox{ graham2019hover . PanNuke consists of 19 different tissue types that have been semi-automatically annotated and quality controlled by clinical pathologists, leading to a dataset with statistics similar to ` the clinical wild ' and with minimal selection bias.
Edit intent: clarity
Original: _2019 . Previous pan-cancer datasets consisted of only up to 9 different tissues and up to 21,000 unlabeled nuclei \mbox{ kumar2019multi and just over 24,000 labeled nuclei with segmentation masks \mbox{ graham2019hover . PanNuke consists of 19 different tissue types that have been semi-automatically annotated and quality controlled by clinical pathologists, leading to a dataset with statistics similar to ` the clinical wild ' and with minimal selection bias.
Revised: _2019 . Previous pan-cancer datasets consisted of only up to 9 different tissues and up to 21,000 unlabeled nuclei \mbox{ kumar2019multi and just over 24,000 labeled nuclei with segmentation masks . PanNuke consists of 19 different tissue types that have been semi-automatically annotated and quality controlled by clinical pathologists, leading to a dataset with statistics similar to ` the clinical wild ' and with minimal selection bias.
Edit intent: coherence
Original: _2019 . Previous pan-cancer datasets consisted of only up to 9 different tissues and up to 21,000 unlabeled nuclei \mbox{ kumar2019multi and just over 24,000 labeled nuclei with segmentation masks \mbox{ graham2019hover . PanNuke consists of 19 different tissue types that have been semi-automatically annotated and quality controlled by clinical pathologists, leading to a dataset with statistics similar to ` the clinical wild ' and with minimal selection bias.
Revised: _2019 . Previous pan-cancer datasets consisted of only up to 9 different tissues and up to 21,000 unlabeled nuclei \mbox{ kumar2019multi and just over 24,000 labeled nuclei with segmentation masks \mbox{ graham2019hover . PanNuke consists of 19 different tissue types that have been semi-automatically annotated and quality controlled by clinical pathologists, leading to a dataset with statistics similar to the clinical wild ' and with minimal selection bias.
Edit intent: fluency
Original: _2019 . Previous pan-cancer datasets consisted of only up to 9 different tissues and up to 21,000 unlabeled nuclei \mbox{ kumar2019multi and just over 24,000 labeled nuclei with segmentation masks \mbox{ graham2019hover . PanNuke consists of 19 different tissue types that have been semi-automatically annotated and quality controlled by clinical pathologists, leading to a dataset with statistics similar to ` the clinical wild ' and with minimal selection bias.
Revised: _2019 . Previous pan-cancer datasets consisted of only up to 9 different tissues and up to 21,000 unlabeled nuclei \mbox{ kumar2019multi and just over 24,000 labeled nuclei with segmentation masks \mbox{ graham2019hover . PanNuke consists of 19 different tissue types that have been semi-automatically annotated and quality controlled by clinical pathologists, leading to a dataset with statistics similar to ` the clinical wild and with minimal selection bias.
Edit intent: fluency
Original:  In fact,  our numerical simulations show that our algorithm outperforms the existing gradient-based methods  .
Revised:  In fact, in our numerical simulations show that our algorithm outperforms the existing gradient-based methods .
Edit intent: clarity
Original:  In fact,  our numerical simulations show that our algorithm outperforms the existing gradient-based methods  .
Revised:  In fact, our numerical simulations , our algorithm outperforms the existing gradient-based methods .
Edit intent: clarity
Original: It is well-known that ensemble methods often provide enhanced performance in reinforcement learning.
Revised: It is well known that ensemble methods often provide enhanced performance in reinforcement learning.
Edit intent: fluency
Original:  In this paper  we explore this concept further by using group-aided training within the distributional reinforcement learning paradigm.
Revised:  In this paper , we explore this concept further by using group-aided training within the distributional reinforcement learning paradigm.
Edit intent: fluency
Original:  We empirically show that this may lead to much more robust initial learning, a stronger individual performance level  and good efficiency on a per-sample basis.
Revised:  We empirically show that this may lead to much more robust initial learning, a stronger individual performance level , and good efficiency on a per-sample basis.
Edit intent: fluency
Original:  Our two equivalent solutions for checking constraints include a straightforward generate-and-test approach based on forbidden graph patterns  and a modular solution , where the patterns are decomposed as pushouts of monic spans into forbidden relation patterns.
Revised:  Our two equivalent solutions for checking constraints include a straightforward generate-and-test strategy based on forbidden graph patterns and a modular solution , where the patterns are decomposed as pushouts of monic spans into forbidden relation patterns.
Edit intent: clarity
Original:  Our two equivalent solutions for checking constraints include a straightforward generate-and-test approach based on forbidden graph patterns  and a modular solution , where the patterns are decomposed as pushouts of monic spans into forbidden relation patterns.
Revised:  Our two equivalent solutions for checking constraints include a straightforward generate-and-test approach based on forbidden graph patterns and a modular strategy , where the patterns are decomposed as pushouts of monic spans into forbidden relation patterns.
Edit intent: clarity
Original:  For an example of SqPO rewriting of rigid multigraphs modelling polymer formation in organic chemistry, we assess and compare the performance of the two strategies .
Revised:  For an example of SqPO rewriting of rigid multigraphs modelling polymer formation in organic chemistry, we compare the performance of the two strategies .
Edit intent: clarity
Original:  In this paper  we use, for the first time, a master equation to analyze the networks composed of probabilistic binary memristors.
Revised:  In this paper , we use, for the first time, a master equation to analyze the networks composed of probabilistic binary memristors.
Edit intent: fluency
Original: Geometry and shape are fundamental aspects of visual style.
Revised: Both geometry and texture are fundamental aspects of visual style.
Edit intent: clarity
Original:  Existing style transfer methods focus on texture-like components of style, ignoring geometry.
Revised:  Existing style transfer methods , however, primarily focus on texture, almost entirely ignoring geometry.
Edit intent: clarity
Original:  We propose deformable style transfer (DST), an optimization-based approach that integrates texture and geometry style transfer.
Revised:  We propose deformable style transfer (DST), an optimization-based approach that jointly stylizes the texture and geometry style transfer.
Edit intent: clarity
Original:  In this paper we report on two pre-registered experiments, that we hope shed some light on this question.
Revised:  In this paper we report on two pre-registered experiments, that shed some light on this question.
Edit intent: coherence
Original:  participants are asked to rate the behaviour of a defector/cooperator from 1 to 5 stars.
Revised:  participants are asked to rate the behaviour of a defector/cooperator on a scale of 1 to 5 stars.
Edit intent: clarity
Original:  All these results are robust to splitting the sample by gender : in our context , neither men nor women discriminate between genders when they are in charge of punishing defectors or rewarding cooperators .
Revised:  All these results are robust to splitting the sample by gender : in our context , neither men nor women discriminate between genders .
Edit intent: clarity
Original: The 2019 Novel Corona virus infection ( COVID 19 ) is an ongoing public health emergency of international focus.
Revised: The 2019 Novel Corona virus infection ( COVID-19 ) is an ongoing public health emergency of international focus.
Edit intent: fluency
Original:  Significant gaps persist in our knowledge of COVID 19 epidemiology, transmission dynamics, investigation tools and management, despite (or possibly contributing to ) the fact that the ourtbreak is an unprecedented global threat.
Revised:  Significant gaps persist in our knowledge of COVID 19 epidemiology, transmission dynamics, investigation tools and management, despite (or possibly contributing to ) the fact that the outbreak is an unprecedented global threat.
Edit intent: fluency
Original:  We generate predictions, and asses the efficiency of these control measures, in the context in which their sustainability is currently being questioned.
Revised:  We generate predictions, and assess the efficiency of these control measures, in the context in which their sustainability is currently being questioned.
Edit intent: fluency
Original: The 2019 Novel Corona virus infection ( COVID-19 ) is an ongoing public health emergency of international focus.
Revised: The 2019 Novel Corona virus infection ( COVID 19 ) is an ongoing public health emergency of international focus.
Edit intent: clarity
Original:  Significant gaps persist in our knowledge of COVID-19 epidemiology, transmission dynamics, investigation tools and management, despite (or possibly because of) the fact that the outbreak is an unprecedented global threat.
Revised:  Significant gaps persist in our knowledge of COVID 19 epidemiology, transmission dynamics, investigation tools and management, despite (or possibly because of) the fact that the outbreak is an unprecedented global threat.
Edit intent: fluency
Original:  We analyze the current management strategy of the epidemic course ( travel bans, service closures and interruptions, social distancing) .
Revised:  We analyze management strategies of the epidemic course ( travel bans, service closures and interruptions, social distancing) .
Edit intent: clarity
Original:  Our approach is applicable to a broad range of disease dynamics, and can be extended to the inherent nonlinearities of communicable infectious diseases  .
Revised:  Our approach is applicable to a broad range of disease dynamics, including both noncommunicable and the inherent nonlinearities of communicable infectious diseases .
Edit intent: clarity
Original:  Our approach is applicable to a broad range of disease dynamics, including both noncommunicable and the inherent nonlinearities of communicable infectious diseases and epidemics such as from COVID-19 .
Revised:  Our approach is applicable to a broad range of disease dynamics, including both noncommunicable and the inherent nonlinearities of communicable infectious diseases and epidemics .
Edit intent: coherence
Original: I estimate the Susceptible-Infected-Recovered (SIR) epidemic model using cross-country daily data on Coronavirus Disease 2019 (COVID-19) cases .
Revised: I estimate the Susceptible-Infected-Recovered (SIR) epidemic model for Coronavirus Disease 2019 (COVID-19) cases .
Edit intent: clarity
Original: I estimate the Susceptible-Infected-Recovered (SIR) epidemic model using cross-country daily data on Coronavirus Disease 2019 (COVID-19) cases .
Revised: I estimate the Susceptible-Infected-Recovered (SIR) epidemic model using cross-country daily data on Coronavirus Disease 2019 (COVID-19) .
Edit intent: clarity
Original:  The modelsuggests that around 30 percent of the population may be simultaneously infected in many countries at the peak, potentially overwhelming the healthcare system.
Revised:  The modelsuggests that around 30 percent of the population may be simultaneously infected at the peak, potentially overwhelming the healthcare system.
Edit intent: clarity