wanyu/IteraTeR_v2 huggingface dataset:
Original:  Therefore,  applications that rely on them will eventually need to migrate the Blockchain to remain competitive and secure, as well as to enhance the  performance, cost efficiency, privacy, and regulatory compliance.
Revised:  Therefore, applications that rely on them will eventually need to migrate the Blockchain to remain competitive and secure, as well as to enhance the business process, performance, cost efficiency, privacy, and regulatory compliance.
Edit intent: clarity
Original:  However, the differences in data and smart contract representations, mode of hosting, transaction fees, and the need to preserve consistency, immutability, and data provenance introduce unique challenges over database migration.
Revised:  However, the differences in data and smart contract representations, modes of hosting, transaction fees, and the need to preserve consistency, immutability, and data provenance introduce unique challenges over database migration.
Edit intent: fluency
Original:  However, the differences in data and smart contract representations, mode of hosting, transaction fees, and the need to preserve consistency, immutability, and data provenance introduce unique challenges over database migration.
Revised:  However, the differences in data and smart contract representations, mode of hosting, transaction fees, as well as the need to preserve consistency, immutability, and data provenance introduce unique challenges over database migration.
Edit intent: coherence
Original:  We first present a set of Blockchain migration scenarios and data fidelity levels using an illustrative example.
Revised:  We first present a set of blockchain migration scenarios and data fidelity levels using an illustrative example.
Edit intent: fluency
Original:  We then derive a set of migration patterns to address those scenarios and  above data management challenges.
Revised:  We then present a set of migration patterns to address those scenarios and above data management challenges.
Edit intent: clarity
Original:  We then derive a set of migration patterns to address those scenarios and  above data management challenges.
Revised:  We then derive a set of migration patterns to address those scenarios and the above data management challenges.
Edit intent: fluency
Original:  Finally, we demonstrate how the effort, cost, and risk of Blockchain migration can be minimized by choosing a suitable data fidelity level and proactive system design.
Revised:  Finally, we demonstrate how the effort, cost, and risk of migration could be minimized by choosing a suitable data fidelity level and proactive system design.
Edit intent: clarity
Original:  Finally, we demonstrate how the effort, cost, and risk of Blockchain migration can be minimized by choosing a suitable data fidelity level and proactive system design.
Revised:  Finally, we demonstrate how the effort, cost, and risk of Blockchain migration can be minimized by choosing a suitable set of data migration patterns, data fidelity level, and proactive system design.
Edit intent: clarity
Original:  Practical considerations and several research challenges are also highlighted.
Revised:  Practical considerations and research challenges are also highlighted.
Edit intent: clarity
Original:  In this model  processes can communicate by message passing and also by accessing some shared memory.
Revised:  In this model , processes can communicate by message passing and also by accessing some shared memory.
Edit intent: fluency
Original:  We  consider the basic problem of implementing an atomic single-writer multi-reader (SWMR) register shared by all the processes in m&m systems.
Revised:  We first consider the basic problem of implementing an atomic single-writer multi-reader (SWMR) register shared by all the processes in m&m systems.
Edit intent: coherence
Original:  Specifically, for every m m system, we give an algorithm that implements such a register in this system  and show that it is optimal in the number of process crashes that it can tolerate.
Revised:  Specifically, m system, we give an algorithm that implements such a register in this system and show that it is optimal in the number of process crashes that it can tolerate.
Edit intent: clarity
Original:  Specifically, for every m m system, we give an algorithm that implements such a register in this system  and show that it is optimal in the number of process crashes that it can tolerate.
Revised:  Specifically, for every m we give an algorithm that implements such a register in this system and show that it is optimal in the number of process crashes that it can tolerate.
Edit intent: clarity
Original:  Specifically, for every m m system, we give an algorithm that implements such a register in this system  and show that it is optimal in the number of process crashes that it can tolerate.
Revised:  Specifically, for every m m system, we give an algorithm that implements such a register in m and show that it is optimal in the number of process crashes that it can tolerate.
Edit intent: clarity
Original: We present a particle method for estimating the curvature of interfaces and respective surface tension models in volume-of-fluid simulations of multiphase flows.
Revised: We present a particle method for estimating the curvature of interfaces in volume-of-fluid simulations of multiphase flows.
Edit intent: clarity
Original: Depression is one of the most common mental health disorders, and a large number of depression people commit suicide each year.
Revised: Depression is one of the most common mental health disorders, and a large number of depressed people commit suicide each year.
Edit intent: fluency
Original:  Potential depression sufferers  do not consult psychological doctors because they feel ashamed or are unaware of any depression, which may result in severe delay of diagnosis and treatment.
Revised:  Potential depression sufferers usually do not consult psychological doctors because they feel ashamed or are unaware of any depression, which may result in severe delay of diagnosis and treatment.
Edit intent: coherence
Original:  To comprehensively evaluate the classification capability of the IBPT , we use three real datasets from the UCI machine learning repository and the IBPT still obtains the best classification results against several state of the arts techniques.
Revised:  To comprehensively evaluate the classification capability of the IBPT , we use three real datasets from the UCI machine learning repository and the CBPT obtains appealing classification results against several state of the arts techniques.
Edit intent: clarity
Original:  The unknown area is considered as connected region made up of hexagonal unit cells.
Revised:  The unknown area is considered a connected region made up of hexagonal unit cells.
Edit intent: fluency
Original:  We use two types of communication, one long range and another more frequently used short range communication.
Revised:  We use long range and another more frequently used short range communication.
Edit intent: clarity
Original:  We use two types of communication, one long range and another more frequently used short range communication.
Revised:  We use two types of communication, one long range and short range communication.
Edit intent: clarity
Original:  The short range communication within drones in smaller proximity helps avoid obstacles and re-exploration of cells already explored by companion drones located in  same subarea.
Revised:  The short-range communication within drones in smaller proximity helps avoid obstacles and re-exploration of cells already explored by companion drones located in same subarea.
Edit intent: fluency
Original:  The short range communication within drones in smaller proximity helps avoid obstacles and re-exploration of cells already explored by companion drones located in  same subarea.
Revised:  The short range communication within drones in smaller proximity helps avoid re-exploration of cells already explored by companion drones located in same subarea.
Edit intent: clarity
Original:  The short range communication within drones in smaller proximity helps avoid obstacles and re-exploration of cells already explored by companion drones located in  same subarea.
Revised:  The short range communication within drones in smaller proximity helps avoid obstacles and re-exploration of cells already explored by companion drones located in the same subarea.
Edit intent: fluency
Original:  The long range communication helps drones identify next sub area to be targeted by individual drones based on weighted RNN (Reverse nearest neighbour).
Revised:  The long-range communication helps drones identify next sub area to be targeted by individual drones based on weighted RNN (Reverse nearest neighbour).
Edit intent: fluency
Original:  The long range communication helps drones identify next sub area to be targeted by individual drones based on weighted RNN (Reverse nearest neighbour).
Revised:  The long range communication helps drones identify next subarea to be targeted by individual drones based on weighted RNN (Reverse nearest neighbour).
Edit intent: fluency
Original:  The long range communication helps drones identify next sub area to be targeted by individual drones based on weighted RNN (Reverse nearest neighbour).
Revised:  The long range communication helps drones identify next sub area to be targeted based on weighted RNN (Reverse nearest neighbour).
Edit intent: clarity
Original:  The long range communication helps drones identify next sub area to be targeted by individual drones based on weighted RNN (Reverse nearest neighbour).
Revised:  The long range communication helps drones identify next sub area to be targeted by individual drones based on weighted RNN (Reverse nearest 
Edit intent: fluency
Original: %DIFDELCMD < \par %DIFDELCMD < %%%  Simulation results show that using weighted RNN with two types of communication in a hexagonal representation of subareas makes exploration more efficient, scalable and resilient to communication failures.
Revised: %DIFDELCMD < \par %DIFDELCMD < %%% Simulation results show that using weighted RNN with two types of communication in a hexagonal representation makes exploration more efficient, scalable and resilient to communication failures.
Edit intent: clarity
Original: Environmental stresses such as drought , and heat can cause substantial yield loss in corn hybrids .
Revised: Environmental stresses such as drought and heat can cause substantial yield loss in corn hybrids .
Edit intent: fluency
Original: Environmental stresses such as drought , and heat can cause substantial yield loss in corn hybrids .
Revised: Environmental stresses such as drought , and heat can cause substantial yield loss in agriculture .
Edit intent: clarity
Original:  As such, corn hybrids which are tolerant to drought , and heat would produce more consistent yields compared to the hybrids which are not tolerant to these stresses.
Revised:  As such, hybrid crops which are tolerant to drought , and heat would produce more consistent yields compared to the hybrids which are not tolerant to these stresses.
Edit intent: clarity
Original:  As such, corn hybrids which are tolerant to drought , and heat would produce more consistent yields compared to the hybrids which are not tolerant to these stresses.
Revised:  As such, corn hybrids which are tolerant to drought and heat stress would produce more consistent yields compared to the hybrids which are not tolerant to these stresses.
Edit intent: clarity
Original:  First, we designed a deep convolutional neural network (CNN) that took advantage of state-of-the-art modeling and solution techniques to extract stress metrics for each types of stress.
Revised:  First, we designed a deep convolutional neural network (CNN) that took advantage of state-of-the-art modeling and solution techniques to extract stress metrics for each type of stress.
Edit intent: fluency
Original:  Our CNN model was found to successfully distinguish between the low and high stress environments due to considering multiple factors such as plant /harvest dates, daily weather, and soil conditions.
Revised:  Our CNN model was found to successfully distinguish between the low and high stress environments due to considering multiple factors such as planting /harvest dates, daily weather, and soil conditions.
Edit intent: fluency
Original:  As such, hybrid crops which are tolerant to drought and heat stress would produce more consistent yields compared to the hybrids which are not tolerant to these stresses.
Revised:  As such, hybrid crops that are tolerant to drought and heat stress would produce more consistent yields compared to the hybrids which are not tolerant to these stresses.
Edit intent: fluency
Original:  As such, hybrid crops which are tolerant to drought and heat stress would produce more consistent yields compared to the hybrids which are not tolerant to these stresses.
Revised:  As such, hybrid crops which are tolerant to drought and heat stress would produce more consistent yields compared to the hybrids that are not tolerant to these stresses.
Edit intent: fluency
Original:  As one of the winning teams, we designed a two-step approach to solve this problem in an unsupervised way since no data was provided that classified any set of hybrids as tolerant or susceptible to any type of stress.
Revised:  However, no data was provided that classified any set of hybrids as tolerant or susceptible to any type of stress.
Edit intent: coherence
Original:  We report a \sim 27\\%DIF < improvement in the accuracy of the variational calculation %DIF > improvement in the accuracy of the calculation of the deuteron binding energy and \sim 40\\%DIF < improvement in the accuracy of %DIF > improvement in the accuracy of the quantum approximate optimization of the MAXCUT problem applied to the dragon graph T_{3,2}.
Revised:  We report a \sim 27\\%DIF < improvement in the accuracy of the variational %DIF > improvement in the accuracy of the calculation of the deuteron binding energy and \sim 40\\%DIF < improvement in the accuracy of %DIF > improvement in the accuracy of the quantum approximate optimization of the MAXCUT problem applied to the dragon graph T_{3,2}.
Edit intent: fluency
Original:  We report a \sim 27\\%DIF < improvement in the accuracy of the variational calculation %DIF > improvement in the accuracy of the calculation of the deuteron binding energy and \sim 40\\%DIF < improvement in the accuracy of %DIF > improvement in the accuracy of the quantum approximate optimization of the MAXCUT problem applied to the dragon graph T_{3,2}.
Revised:  We report a \sim 27\\%DIF < improvement in the accuracy of the variational calculation %DIF > improvement in the accuracy of the calculation of the deuteron binding energy and \sim 40\\%DIF < improvement in the %DIF > improvement in the accuracy of the quantum approximate optimization of the MAXCUT problem applied to the dragon graph T_{3,2}.
Edit intent: clarity
Original:  When the time-to-solution is prioritized over accuracy, the former requires \sim 71\\%DIF < fewer measurements and the latter requires %DIF > fewer measurements and the latter requires \sim 78\\% fewer measurements.
Revised:  When the time-to-solution is prioritized over accuracy, the former requires \sim 71\\%DIF < fewer measurements and the latter %DIF > fewer measurements and the latter requires \sim 78\\% fewer measurements.
Edit intent: fluency
Original:  Ara runs at 1.2 GHz in the typical corner (TT/0.80V/25 oC) , achieving a performance up to 34 DP-GFLOPS.
Revised:  Ara runs at more than 1 GHz in the typical corner (TT/0.80V/25 oC) , achieving a performance up to 34 DP-GFLOPS.
Edit intent: clarity
Original:  Ara runs at 1.2 GHz in the typical corner (TT/0.80V/25 oC) , achieving a performance up to 34 DP-GFLOPS.
Revised:  Ara runs at 1.2 GHz in the typical corner (TT/0.80V/25 oC) achieving a performance up to 34 DP-GFLOPS.
Edit intent: fluency
Original:  Ara runs at 1.2 GHz in the typical corner (TT/0.80V/25 oC) , achieving a performance up to 34 DP-GFLOPS.
Revised:  Ara runs at 1.2 GHz in the typical corner (TT/0.80V/25 oC) , achieving a performance up to 33 DP-GFLOPS.
Edit intent: fluency
Original:  In terms of energy efficiency, Ara achieves up to 67 DP-GFLOPS/W under the same conditions, which is 56\% higher than similar vector processors found in literature.
Revised:  In terms of energy efficiency, Ara achieves up to 67 DP-GFLOPS/W under the same conditions, which is comparable to similar vector processors found in literature.
Edit intent: clarity
Original:  In terms of energy efficiency, Ara achieves up to 41 DP-GFLOPS/W under the same conditions, which is comparable to similar vector processors found in literature.
Revised:  In terms of energy efficiency, Ara achieves up to 41 DP-GFLOPS/W under the same conditions, which is slightly superior to similar vector processors found in literature.
Edit intent: clarity
Original:  A machine speech chain based on sequence-to-sequence deep learning was previously proposed to achieve semi-supervised learning that enabled automatic speech recognition (ASR) and text-to-speech synthesis (TTS)  to teach each other when they receive unpaired data.
Revised:  A machine speech chain based on sequence-to-sequence deep learning was previously proposed to achieve semi-supervised learning that enabled automatic speech recognition (ASR) and text-to-speech synthesis (TTS) to teach each other in semi-supervised learning when they received unpaired data.
Edit intent: clarity
Original:  In this research, we take a further step by expanding the speech chain into a multimodal chain and design a closely knit chain architecture that connects ASR, TTS, image captioning (IC) , and image retrieval (IR) models into a single framework.
Revised:  In this research, we take a further step and construct a multimodal chain and design a closely knit chain architecture that connects ASR, TTS, image captioning (IC) , and image retrieval (IR) models into a single framework.
Edit intent: clarity
Original:  In this research, we take a further step by expanding the speech chain into a multimodal chain and design a closely knit chain architecture that connects ASR, TTS, image captioning (IC) , and image retrieval (IR) models into a single framework.
Revised:  In this research, we take a further step by expanding the speech chain into a multimodal chain and design a closely knit chain architecture that combines ASR, TTS, image captioning (IC) , and image retrieval (IR) models into a single framework.
Edit intent: fluency
Original:  In this research, we take a further step by expanding the speech chain into a multimodal chain and design a closely knit chain architecture that connects ASR, TTS, image captioning (IC) , and image retrieval (IR) models into a single framework.
Revised:  In this research, we take a further step by expanding the speech chain into a multimodal chain and design a closely knit chain architecture that connects ASR, TTS, image captioning , and image retrieval (IR) models into a single framework.
Edit intent: clarity
Original:  In this research, we take a further step by expanding the speech chain into a multimodal chain and design a closely knit chain architecture that connects ASR, TTS, image captioning (IC) , and image retrieval (IR) models into a single framework.
Revised:  In this research, we take a further step by expanding the speech chain into a multimodal chain and design a closely knit chain architecture that connects ASR, TTS, image captioning (IC) , and image production models into a single framework.
Edit intent: clarity
Original:  By learning the connectivity of MobileNetV1 we boost the ImageNet accuracy by 10\% at ~41M FLOPs.
Revised:  By learning the connectivity of MobileNetV1we boost the ImageNet accuracy by 10\% at ~41M FLOPs.
Edit intent: fluency
Original: Covering all edges of a graph by a minimum number of vertices, this is the NP-hard Vertex Cover problem , is among the most fundamental algorithmic tasks .
Revised: Covering all edges of a graph by a small number of vertices, this is the NP-hard Vertex Cover problem , is among the most fundamental algorithmic tasks .
Edit intent: clarity
Original: Covering all edges of a graph by a minimum number of vertices, this is the NP-hard Vertex Cover problem , is among the most fundamental algorithmic tasks .
Revised: Covering all edges of a graph by a minimum number of vertices, this is the NP-hard Vertex Cover problem . It is among the most fundamental algorithmic tasks .
Edit intent: coherence
Original: Covering all edges of a graph by a minimum number of vertices, this is the NP-hard Vertex Cover problem , is among the most fundamental algorithmic tasks .
Revised: Covering all edges of a graph by a minimum number of vertices, this is the NP-hard Vertex Cover problem , is among the most fundamental graph-algorithmic problems .
Edit intent: clarity
Original:  Herein, having a series of graphs with same vertex set but over time changing edge sets (known as temporal graphconsisting of various layers) , the goal is to find for each layer of the temporal graph a small vertex cover and to guarantee that the two vertex cover sets between two subsequent layers differ not too much (specified by a given parameter).
Revised:  Herein, given a temporal graph , the goal is to find for each layer of the temporal graph a small vertex cover and to guarantee that the two vertex cover sets between two subsequent layers differ not too much (specified by a given parameter).
Edit intent: clarity
Original:  Herein, having a series of graphs with same vertex set but over time changing edge sets (known as temporal graphconsisting of various layers) , the goal is to find for each layer of the temporal graph a small vertex cover and to guarantee that the two vertex cover sets between two subsequent layers differ not too much (specified by a given parameter).
Revised:  Herein, having a series of graphs with same vertex set but over time changing edge sets (known as temporal graphconsisting of various layers) , the goal is to find for each layer of the temporal graph a small vertex cover and to guarantee that two vertex cover sets between two subsequent layers differ not too much (specified by a given parameter).
Edit intent: fluency
Original:  Herein, having a series of graphs with same vertex set but over time changing edge sets (known as temporal graphconsisting of various layers) , the goal is to find for each layer of the temporal graph a small vertex cover and to guarantee that the two vertex cover sets between two subsequent layers differ not too much (specified by a given parameter).
Revised:  Herein, having a series of graphs with same vertex set but over time changing edge sets (known as temporal graphconsisting of various layers) , the goal is to find for each layer of the temporal graph a small vertex cover and to guarantee that the two vertex cover sets of every two consecutive layers differ not too much (specified by a given parameter).
Edit intent: clarity
Original:  Various errors occur in those texts with unseen context, including attention collapse, skipping, repeating, etc., which limits the broader applications.
Revised:  Various errors occur in those inputs with unseen context, including attention collapse, skipping, repeating, etc., which limits the broader applications.
Edit intent: clarity
Original:  In this paper, we propose a novel stepwise monotonic attention method in sequence-to-sequence acoustic modeling to improve the robustness on out-of-domain texts .
Revised:  In this paper, we propose a novel stepwise monotonic attention method in sequence-to-sequence acoustic modeling to improve the robustness on out-of-domain inputs .
Edit intent: clarity
Original:  The method utilizes the strict monotonic property in TTS with extra constraints on monotonic  attention that the alignments between inputs and outputs sequence must be not only monotonic but also allowing no skipping on the inputs.
Revised:  The method utilizes the strict monotonic property in TTS with constraints on monotonic attention that the alignments between inputs and outputs sequence must be not only monotonic but also allowing no skipping on the inputs.
Edit intent: clarity