wanyu/IteraTeR_v2 huggingface dataset:
Original:  Since singular value transformation encompasses a vast range of matrix arithmetic, this result , combined with simple sampling lemmas from previous work, suffices to generalize all results dequantizing quantum machine learning algorithms to the authors' knowledge.
Revised:  Since singular value transformation encompasses a vast range of matrix arithmetic, this result , combined with sampling lemmas from previous work, suffices to generalize all results dequantizing quantum machine learning algorithms to the authors' knowledge.
Edit intent: clarity
Original:  Since singular value transformation encompasses a vast range of matrix arithmetic, this result , combined with simple sampling lemmas from previous work, suffices to generalize all results dequantizing quantum machine learning algorithms to the authors' knowledge.
Revised:  Since singular value transformation encompasses a vast range of matrix arithmetic, this result , combined with simple sampling lemmas from previous work, suffice to generalize all results dequantizing quantum machine learning algorithms to the authors' knowledge.
Edit intent: fluency
Original:  Since singular value transformation encompasses a vast range of matrix arithmetic, this result , combined with simple sampling lemmas from previous work, suffices to generalize all results dequantizing quantum machine learning algorithms to the authors' knowledge.
Revised:  Since singular value transformation encompasses a vast range of matrix arithmetic, this result , combined with simple sampling lemmas from previous work, suffices to generalize all recent results about dequantizing quantum machine learning algorithms to the authors' knowledge.
Edit intent: clarity
Original:  Via simple black-box applications of our singular value transformation framework , we recover the dequantization results on recommendation systems, principal component analysis, supervised clustering, low-rank matrix inversion , low-rank semidefinite programming, and support vector machines .
Revised:  Via simple black-box applications of our singular value transformation framework , we recover the dequantization results on recommendation systems, principal component analysis, supervised clustering, support vector machines , low-rank semidefinite programming, and support vector machines .
Edit intent: clarity
Original:  Via simple black-box applications of our singular value transformation framework , we recover the dequantization results on recommendation systems, principal component analysis, supervised clustering, low-rank matrix inversion , low-rank semidefinite programming, and support vector machines .
Revised:  Via simple black-box applications of our singular value transformation framework , we recover the dequantization results on recommendation systems, principal component analysis, supervised clustering, low-rank matrix inversion , low-rank regression, and semidefinite program solving .
Edit intent: clarity
Original:  We also give additional dequantizations results on low-rank Hamiltonian simulation and discriminant analysis  .
Revised:  We also give additional dequantization results on low-rank Hamiltonian simulation and discriminant analysis .
Edit intent: fluency
Original:  Extensive datasets require substantial resources both for generating publishable content , and annotating it accurately.
Revised:  Extensive datasets require substantial resources both for generating publishable content and annotating it accurately.
Edit intent: fluency
Original:  We present a systematic and scalable approach to create KonIQ-10k, the largest IQA dataset to date  consisting of 10,073 quality scored images.
Revised:  We present a systematic and scalable approach to creating KonIQ-10k, the largest IQA dataset to date consisting of 10,073 quality scored images.
Edit intent: fluency
Original:  We present a systematic and scalable approach to create KonIQ-10k, the largest IQA dataset to date  consisting of 10,073 quality scored images.
Revised:  We present a systematic and scalable approach to create KonIQ-10k, the largest IQA dataset to date , consisting of 10,073 quality scored images.
Edit intent: fluency
Original:  This is the first in-the-wild database aiming for ecological validity, with regard to the authenticity of distortions, the diversity of content, and quality-related indicators.
Revised:  It is the first in-the-wild database aiming for ecological validity, with regard to the authenticity of distortions, the diversity of content, and quality-related indicators.
Edit intent: fluency
Original:  This is the first in-the-wild database aiming for ecological validity, with regard to the authenticity of distortions, the diversity of content, and quality-related indicators.
Revised:  This is the first in-the-wild database aiming for ecological validity, concerning the authenticity of distortions, the diversity of content, and quality-related indicators.
Edit intent: coherence
Original:  A correlation analysis shows that KonCept512 performs similar to having 9 subjective scores for each test image.
Revised:  Correlation analysis shows that KonCept512 performs similar to having 9 subjective scores for each test image.
Edit intent: clarity
Original: Cardiopulmonary resuscitation (CPR) is the most important emergency intervention for sudden cardiac arrest.
Revised: Cardiopulmonary resuscitation (CPR) is one of the most critical emergency interventions for sudden cardiac arrest.
Edit intent: clarity
Original:  In this paper, a robust sinusoidal model fitting method based on a modified Genetic Algorithm for CPR quality parameters - naming chest compression frequency and depth - as measured by an inertial sensor placed at the wrist is presented.
Revised:  In this paper, a robust sinusoidal model-fitting method based on a modified Genetic Algorithm for CPR quality parameters - naming chest compression frequency and depth - as measured by an inertial sensor placed at the wrist is presented.
Edit intent: fluency
Original:  In this paper, a robust sinusoidal model fitting method based on a modified Genetic Algorithm for CPR quality parameters - naming chest compression frequency and depth - as measured by an inertial sensor placed at the wrist is presented.
Revised:  In this paper, a robust sinusoidal model fitting method based on a modified Genetic Algorithm for CPR quality parameters - naming chest compression frequency and depth - as measured by an inertial measurement unit (IMU) attached to the wrist is presented.
Edit intent: clarity
Original:  Once included into a smartphone or smartwatch app, the proposed algorithm will enable bystanders to improve CPR ( as part of a continuous closed-loop support-system) .
Revised:  The proposed algorithm will enable bystanders to improve CPR ( as part of a continuous closed-loop support-system) .
Edit intent: clarity
Original:  Once included into a smartphone or smartwatch app, the proposed algorithm will enable bystanders to improve CPR ( as part of a continuous closed-loop support-system) .
Revised:  Once included into a smartphone or smartwatch app, the proposed algorithm will allow bystanders to improve CPR ( as part of a continuous closed-loop support-system) .
Edit intent: fluency
Original:  Once included into a smartphone or smartwatch app, the proposed algorithm will enable bystanders to improve CPR ( as part of a continuous closed-loop support-system) .
Revised:  Once included into a smartphone or smartwatch app, the proposed algorithm will enable bystanders to improve CPR as part of a continuous closed-loop support-system) .
Edit intent: fluency
Original:  Once included into a smartphone or smartwatch app, the proposed algorithm will enable bystanders to improve CPR ( as part of a continuous closed-loop support-system) .
Revised:  Once included into a smartphone or smartwatch app, the proposed algorithm will enable bystanders to improve CPR ( as part of a continuous closed-loop support system once integrated into a smartphone or smartwatch application .
Edit intent: clarity
Original:  By evaluating the precision of the modelwith both, simulated data and data recorded by a Laerdal Resusci Anne mannequin as reference standard, a variance for  compression frequency of +-3.7 cpm \pm2 has been found for the sensor placed at the wrist.
Revised:  By evaluating the model's precision with data recorded by a Laerdal Resusci Anne mannequin as reference standard, a variance for compression frequency of +-3.7 cpm \pm2 has been found for the sensor placed at the wrist.
Edit intent: clarity
Original:  By evaluating the precision of the modelwith both, simulated data and data recorded by a Laerdal Resusci Anne mannequin as reference standard, a variance for  compression frequency of +-3.7 cpm \pm2 has been found for the sensor placed at the wrist.
Revised:  By evaluating the precision of the modelwith both, simulated data and data recorded by a Laerdal Resusci Anne mannequin as reference standard, a variance for the compression frequency of +-3.7 cpm \pm2 has been found for the sensor placed at the wrist.
Edit intent: fluency
Original:  By evaluating the precision of the modelwith both, simulated data and data recorded by a Laerdal Resusci Anne mannequin as reference standard, a variance for  compression frequency of +-3.7 cpm \pm2 has been found for the sensor placed at the wrist.
Revised:  By evaluating the precision of the modelwith both, simulated data and data recorded by a Laerdal Resusci Anne mannequin as reference standard, a variance for compression frequency of \pm2 has been found for the sensor placed at the wrist.
Edit intent: clarity
Original:  By evaluating the precision of the modelwith both, simulated data and data recorded by a Laerdal Resusci Anne mannequin as reference standard, a variance for  compression frequency of +-3.7 cpm \pm2 has been found for the sensor placed at the wrist.
Revised:  By evaluating the precision of the modelwith both, simulated data and data recorded by a Laerdal Resusci Anne mannequin as reference standard, a variance for compression frequency of +-3.7 cpm \pm2 has been found for the IMU attached to the wrist.
Edit intent: clarity
Original:  Thereby, this previously unconsidered position and consequently the use of smartwatches was shown to be a suitable alternative to the typical placement of phones in the hand for CPR training.
Revised:  It was found that this previously unconsidered position and consequently the use of smartwatches was shown to be a suitable alternative to the typical placement of phones in the hand for CPR training.
Edit intent: coherence
Original:  Thereby, this previously unconsidered position and consequently the use of smartwatches was shown to be a suitable alternative to the typical placement of phones in the hand for CPR training.
Revised:  Thereby, this previously unconsidered position and thus, the use of smartwatches was shown to be a suitable alternative to the typical placement of phones in the hand for CPR training.
Edit intent: coherence
Original:  Thereby, this previously unconsidered position and consequently the use of smartwatches was shown to be a suitable alternative to the typical placement of phones in the hand for CPR training.
Revised:  Thereby, this previously unconsidered position and consequently the use of smartwatches is a suitable alternative to the typical placement of phones in the hand for CPR training.
Edit intent: coherence
Original:  Thereby, this previously unconsidered position and consequently the use of smartwatches was shown to be a suitable alternative to the typical placement of phones in the hand for CPR training.
Revised:  Thereby, this previously unconsidered position and consequently the use of smartwatches was shown to be a suitable alternative to the typical placement of phones in hand for CPR training.
Edit intent: fluency
Original:  In this paper, a robust sinusoidal model-fitting method based on a modified Genetic Algorithm for CPR quality parameters - naming chest compression frequency and depth - as measured by an inertial measurement unit (IMU) attached to the wrist is presented.
Revised:  In this paper, a robust sinusoidal model-fitting method based on a modified Genetic Algorithm for CPR quality parameters -- naming chest compression frequency and depth - as measured by an inertial measurement unit (IMU) attached to the wrist is presented.
Edit intent: fluency
Original:  In this paper, a robust sinusoidal model-fitting method based on a modified Genetic Algorithm for CPR quality parameters - naming chest compression frequency and depth - as measured by an inertial measurement unit (IMU) attached to the wrist is presented.
Revised:  In this paper, a robust sinusoidal model-fitting method based on a modified Genetic Algorithm for CPR quality parameters - naming chest compression frequency and depth -- as measured by an inertial measurement unit (IMU) attached to the wrist is presented.
Edit intent: fluency
Original:  The proposed algorithm will allow bystanders to improve CPR as part of a continuous closed-loop support system once integrated into a smartphone or smartwatch application.
Revised:  The proposed approach will allow bystanders to improve CPR as part of a continuous closed-loop support system once integrated into a smartphone or smartwatch application.
Edit intent: clarity
Original:  By evaluating the model's precision with data recorded by a Laerdal Resusci Anne mannequin as reference standard, a variance for the compression frequency of %DIFDELCMD < \pm2%%% .1 \pm  compressions per minute (cpm) has been found for the IMU attached to the wrist.
Revised:  By evaluating the model's precision with data recorded by a training mannequin as reference standard, a variance for the compression frequency of %DIFDELCMD < \pm2%%% .1 \pm compressions per minute (cpm) has been found for the IMU attached to the wrist.
Edit intent: clarity
Original:  By evaluating the model's precision with data recorded by a Laerdal Resusci Anne mannequin as reference standard, a variance for the compression frequency of %DIFDELCMD < \pm2%%% .1 \pm  compressions per minute (cpm) has been found for the IMU attached to the wrist.
Revised:  By evaluating the model's precision with data recorded by a Laerdal Resusci Anne mannequin as reference standard, a variance for the compression frequency of %DIFDELCMD < \pm2%%% \pm compressions per minute (cpm) has been found for the IMU attached to the wrist.
Edit intent: clarity
Original:  here, we measure the benefit by the amount of traffic that can be serviced through the NFV . This problem is non-trivial as it is composed of two challenging subproblems: 1) placement of nodes to support virtual network functions (referred to as VNF-nodes);
Revised:  here, we measure the benefit by the amount of traffic that can be served in an NFV-enabled network . This problem is non-trivial as it is composed of two challenging subproblems: 1) placement of nodes to support virtual network functions (referred to as VNF-nodes);
Edit intent: clarity
Original:  and 2) allocation of the VNF-nodes  resources to network flows.
Revised:  2) allocation of the VNF-nodes resources to network flows.
Edit intent: coherence
Original:  and 2) allocation of the VNF-nodes  resources to network flows.
Revised:  and 2) allocation of the VNF-nodes ' resources to network flows.
Edit intent: fluency
Original:  This problem has been studied recently but for the one-dimensional setting, where all network flows require one network function, which requires a unit of resource to process a unit of flow.
Revised:  This problem has been studied for the one-dimensional setting, where all network flows require one network function, which requires a unit of resource to process a unit of flow.
Edit intent: coherence
Original:  In this work, we extend to the multi-dimensional setting, where flows can require multiple network functions, which can also require a different amount of each resource to process a unit of flow.
Revised:  In this work, we consider the multi-dimensional setting, where flows can require multiple network functions, which can also require a different amount of each resource to process a unit of flow.
Edit intent: clarity
Original:  To address these difficulties, we propose a novel two-level relaxation method  and utilize the  primal-dual technique to design two approximation algorithms that achieve an approximation ratio of (e-1)(Z-1) {2 e^2 Z (kR)^{1/(Z-1) the number of VNF-nodes (resp. resources), and Z is a measure of the available resource compared to flow demand.
Revised:  To address these difficulties, we propose a novel two-level relaxation method and utilize the primal-dual technique to design two approximation algorithms that achieve an approximation ratio of (e-1)(Z-1) {2 e^2 Z (kR)^{1/(Z-1) the number of VNF-nodes , resources, and a measure of the available resource compared to flow demand.
Edit intent: coherence
Original: The relationship between the topology of a network and specific types of dynamics unfolding on it has been extensively studied in network science.
Revised: The relationship between the topology of a network and specific types of dynamics unfolding on it is an important topic in network science.
Edit intent: clarity
Original:  In the present work, we approach this phenomenon, with emphasis on the influence of contrarian opinions, by considering an adaptation of the Sznajd dynamics of opinion formation performed on several network models (Watts-Strogatz, Erdos-Renyi, Barabasi-Albert, Random geometric graph , and Stochastic Block Model).
Revised:  In the present work, we approach this phenomenon, with emphasis on the influence of contrarian opinions, by considering an adaptation of the Sznajd dynamics of opinion formation performed on several network models (Watts-Strogatz, Erdos-Renyi, Barabasi-Albert, Random Geometric Graph , and Stochastic Block Model).
Edit intent: fluency
Original: The relationship between the topology of a network and specific types of dynamics unfolding on it is an important topic in network science .
Revised: The relationship between the topology of a network and specific types of dynamics unfolding in networks constitutes a subject of substantial interest .
Edit intent: clarity
Original:  One type of dynamics that has attracted increasing attention because of its several  implications is opinion formation.
Revised:  One type of dynamics that has attracted increasing attention because of its several potential implications is opinion formation.
Edit intent: clarity
Original:  A phenomenon of particular importance that is known to take place in opinion formation is the appearance of echo chambers, also known as social bubbles .
Revised:  A phenomenon of particular importance , known to take place in opinion formation is the appearance of echo chambers, also known as social bubbles .
Edit intent: coherence
Original:  A phenomenon of particular importance that is known to take place in opinion formation is the appearance of echo chambers, also known as social bubbles .
Revised:  A phenomenon of particular importance that is known to take place in opinion formation , is echo chambers' appearance .
Edit intent: clarity
Original:  In the present work, we approach this phenomenon, with emphasis on the influence of contrarian opinions , by considering an adaptation of the Sznajd dynamics of opinion formation performed on several network models (Watts-Strogatz, Erdos-Renyi, Barabasi-Albert, Random Geometric Graph, and Stochastic Block Model).
Revised:  In the present work, we approach this phenomenon, while emphasizing the influence of contrarian opinions , by considering an adaptation of the Sznajd dynamics of opinion formation performed on several network models (Watts-Strogatz, Erdos-Renyi, Barabasi-Albert, Random Geometric Graph, and Stochastic Block Model).
Edit intent: clarity
Original:  Two specific situations have been considered : (i) the agents can reconnect only with others sharing the same opinion;
Revised:  Two specific situations have been addressed : (i) the agents can reconnect only with others sharing the same opinion;
Edit intent: clarity
Original:  This choice can be justified because, in general, friendship is a transitive property along subsequent neighborhood (e.g., two friends of a person tend to know each other).
Revised:  This choice can be justified because, in general, friendship is a transitive property along with subsequent neighborhoods (e.g., two friends of a person tend to know each other).
Edit intent: fluency
Original:  We also found that the restricted reconnection case reduced the chances of echo chamber formation and also led to smaller echo chambers.
Revised:  We also found that the restricted reconnection case reduced the chances of echo chamber formation and led to smaller echo chambers.
Edit intent: clarity
Original:  These techniques lack adequate generalization and resistance to acclimate the use of such models in a real-world software development environment.
Revised:  However, these techniques lack adequate generalization and resistance to acclimate the use of such models in a real-world software development environment.
Edit intent: coherence
Original:  Additionally, we present DeepVS, an end-to-end deep learning-based source code suggestion tool that shows a real-world implementation of our proposed framework.
Revised:  Additionally, we present DeepVS, an, an end-to-end deep learning-based source code suggestion tool that shows a real-world implementation of our proposed framework.
Edit intent: fluency
Original:  The DeepVS tool is capable of providing source code suggestions instantly in an IDE by using a pre-trained source code model.
Revised:  The DeepVS tool is capable of providing source code suggestions instantly in an IDE by using pre-trained source code model.
Edit intent: fluency
Original:  Moreover, the DeepVS tool is also  capable of suggesting zero-day (unseen) code tokens .
Revised:  Moreover, the results also suggest that capable of suggesting zero-day (unseen) code tokens .
Edit intent: clarity
Original:  Moreover, the DeepVS tool is also  capable of suggesting zero-day (unseen) code tokens .
Revised:  Moreover, the DeepVS tool is also tool is capable of suggesting zero-day (unseen) code tokens .
Edit intent: clarity
Original: In geometry processing, symmetry is the universal high level structural information of the 3d models and benefits many geometry processing tasks including shape segmentation, alignment, matching, completion, e.g. . Thus it is an important problem to analyze various forms of the symmetry of 3D shapes.
Revised: In geometry processing, symmetry is the universal high level structural information of the 3d models and benefits many geometry processing tasks including shape segmentation, alignment, matching, completion, . Thus it is an important problem to analyze various forms of the symmetry of 3D shapes.
Edit intent: coherence
Original: In geometry processing, symmetry is the universal high level structural information of the 3d models and benefits many geometry processing tasks including shape segmentation, alignment, matching, completion, e.g. . Thus it is an important problem to analyze various forms of the symmetry of 3D shapes.
Revised: In geometry processing, symmetry is the universal high level structural information of the 3d models and benefits many geometry processing tasks including shape segmentation, alignment, matching, completion, e.g. e.g.. Thus it is an important problem to analyze various forms of the symmetry of 3D shapes.
Edit intent: coherence
Original: In geometry processing, symmetry is the universal high level structural information of the 3d models and benefits many geometry processing tasks including shape segmentation, alignment, matching, completion, e.g..
Revised: In geometry processing, symmetry is the universally high-level structural information of the 3d models and benefits many geometry processing tasks including shape segmentation, alignment, matching, completion, e.g..
Edit intent: fluency
Original:  Our neural network based method is hundreds of times faster than the state-of-the-art method, which is based on sampling.
Revised:  Our neural network-based method is hundreds of times faster than the state-of-the-art method, which is based on sampling.
Edit intent: fluency