wanyu/IteraTeR_v2 huggingface dataset:
Original: In this letter, an approach to accelerate the matrix filling in method of moment (MOM) is proposed . Based on the fact that the Green function is dependent on the Euclidean distance between the source and the observation points, we constructed an efficient adaptive one-dimensional interpolation approach to fast calculate the Green function and Exp function values.
Revised: In this letter, an approach to accelerate the matrix filling in method of moment (MOM) is presented . Based on the fact that the Green function is dependent on the Euclidean distance between the source and the observation points, we constructed an efficient adaptive one-dimensional interpolation approach to fast calculate the Green function and Exp function values.
Edit intent: clarity
Original: In this letter, an approach to accelerate the matrix filling in method of moment (MOM) is proposed . Based on the fact that the Green function is dependent on the Euclidean distance between the source and the observation points, we constructed an efficient adaptive one-dimensional interpolation approach to fast calculate the Green function and Exp function values.
Revised: In this letter, an approach to accelerate the matrix filling in method of moment (MOM) is proposed . Based on the fact that the Green function is dependent on the Euclidean distance between the source and the observation points, we constructed an efficient adaptive one-dimensional interpolation approach to fast calculate the Exp type function values.
Edit intent: clarity
Original:  In the proposed method, several adaptive interpolation tables are constructed based on the maximum and minimum distance between any two integration points with local refinement near zero function values to obtain relatively uniform error rate in the overall computational domain .
Revised:  In the proposed method, several adaptive interpolation tables are constructed based on the maximum and minimum distance between any two integration points with local refinement near zero function values to minimize the relative error .
Edit intent: clarity
Original:  Then, any function values could be efficiently calculated through a linear interpolation method for Exp and a Lagrange polynomial interpolation method for the Green function.
Revised:  Then, any function values can be efficiently calculated through a linear interpolation method for Exp and a Lagrange polynomial interpolation method for the Green function.
Edit intent: fluency
Original:  The proposed method could be quite easily integrated into the available MOM codes for different integration equation (IE) formulations , like the electrical field integral equation (EFIE), magnetic field integral equation (MFIE), the combined field integral equation (CFIE), the Poggio-Miller-Chan-Harrington-Wu-Tsai(PMCHWT), with few efforts.
Revised:  The proposed method can be quite easily integrated into the available MOM codes for different integration equation (IE) formulations , like the electrical field integral equation (EFIE), magnetic field integral equation (MFIE), the combined field integral equation (CFIE), the Poggio-Miller-Chan-Harrington-Wu-Tsai(PMCHWT), with few efforts.
Edit intent: fluency
Original:  The proposed method could be quite easily integrated into the available MOM codes for different integration equation (IE) formulations , like the electrical field integral equation (EFIE), magnetic field integral equation (MFIE), the combined field integral equation (CFIE), the Poggio-Miller-Chan-Harrington-Wu-Tsai(PMCHWT), with few efforts.
Revised:  The proposed method could be quite easily integrated into the available MOM codes for different integration equation (IE) formulations with few efforts.
Edit intent: coherence
Original:  Results show that over 20\% efficiency improvement could be achieved without sacrificing the accuracy.
Revised:  Results show that over 20\% efficiency improvement can be achieved without sacrificing the accuracy.
Edit intent: fluency
Original:  The first is adopting the ``schemaless'' semantics for spanners, as proposed and studied by Maturana et al.
Revised:  The first is adopting the "schemaless" semantics for spanners, as proposed and studied by Maturana et al.
Edit intent: fluency
Original:  In the last part of our paper, we establish the generalized tensor power and the Taylor expansion of tensors.
Revised:  Then we establish the generalized tensor power and the Taylor expansion of tensors.
Edit intent: clarity
Original:  This paper first demonstrates that such assumptions are far from realistic by evaluating losses and dispersion in commercial chips .
Revised:  This paper first demonstrates that such assumptions do not hold in the context of commercial chips by evaluating losses and dispersion in commercial chips .
Edit intent: clarity
Original:  This paper first demonstrates that such assumptions are far from realistic by evaluating losses and dispersion in commercial chips .
Revised:  This paper first demonstrates that such assumptions are far from realistic by evaluating losses and dispersion in them .
Edit intent: clarity
Original:  Our methods reduce losses by 47 dB and dispersion by 7.3x,  enabling intra-chip wireless communications over 10 Gb/s and only 1.9 dB away from the dispersion-free case.
Revised:  Our methods reduce losses by 47 dB and 7.3x, enabling intra-chip wireless communications over 10 Gb/s and only 1.9 dB away from the dispersion-free case.
Edit intent: clarity
Original:  Our methods reduce losses by 47 dB and dispersion by 7.3x,  enabling intra-chip wireless communications over 10 Gb/s and only 1.9 dB away from the dispersion-free case.
Revised:  Our methods reduce losses by 47 dB and dispersion by 7.3x, respectively, enabling intra-chip wireless communications over 10 Gb/s and only 1.9 dB away from the dispersion-free case.
Edit intent: clarity
Original:  Further analyses of the results allow us to identify some of the bottlenecks of SNNs and provide specific directions towards improving their performance on vision tasks .
Revised:  Further analyses of the results helps us identify some bottlenecks of SNNs and provide specific directions towards improving their performance on vision tasks .
Edit intent: fluency
Original: The growth, form, and division of prebiotic vesicles, membraneous bags of fluid of varying components and shapes , served as the substrate for the origin of life.
Revised: The growth, form, and division of prebiotic vesicles, membraneous bags of fluid of varying components and shapes is hypothesized to have served as the substrate for the origin of life.
Edit intent: clarity
Original:  Numerical simulations show that our model captures the morphological diversity seen in extant mimics of the precursors of cellular life, while providing a guide for the synthesis of these complex shapes from simple ingredients.
Revised:  Numerical simulations show that our model captures the morphological diversity seen in extant precursor mimics of cellular life, while providing a guide for the synthesis of these complex shapes from simple ingredients.
Edit intent: fluency
Original:  Numerical simulations show that our model captures the morphological diversity seen in extant mimics of the precursors of cellular life, while providing a guide for the synthesis of these complex shapes from simple ingredients.
Revised:  Numerical simulations show that our model captures the morphological diversity seen in extant mimics of the precursors of cellular life, and might provide simple guidelines for the synthesis of these complex shapes from simple ingredients.
Edit intent: clarity
Original:  ICS now exchange insecure traffic on an inter-domain level, putting at risk not only common critical infrastructure , but also the Internet ecosystem (e.g., DRDoS  attacks).
Revised:  ICS now exchange insecure traffic on an inter-domain level, putting at risk not only common critical infrastructure but also the Internet ecosystem (e.g., DRDoS attacks).
Edit intent: fluency
Original:  ICS now exchange insecure traffic on an inter-domain level, putting at risk not only common critical infrastructure , but also the Internet ecosystem (e.g., DRDoS  attacks).
Revised:  ICS now exchange insecure traffic on an inter-domain level, putting at risk not only common critical infrastructure , but also the Internet ecosystem (e.g., DRDoS ~ attacks).
Edit intent: fluency
Original:  Our results can be used (1 ) to create precise filters for potentially harmful non-industrial ICS traffic, and (2 ) to detect ICS sending unprotected inter-domain ICS traffic, being vulnerable to eavesdropping and traffic manipulation attacks.
Revised:  Our results can be used i ) to create precise filters for potentially harmful non-industrial ICS traffic, and (2 ) to detect ICS sending unprotected inter-domain ICS traffic, being vulnerable to eavesdropping and traffic manipulation attacks.
Edit intent: fluency
Original:  Our results can be used (1 ) to create precise filters for potentially harmful non-industrial ICS traffic, and (2 ) to detect ICS sending unprotected inter-domain ICS traffic, being vulnerable to eavesdropping and traffic manipulation attacks.
Revised:  Our results can be used (1 ) to create precise filters for potentially harmful non-industrial ICS traffic, and ii ) to detect ICS sending unprotected inter-domain ICS traffic, being vulnerable to eavesdropping and traffic manipulation attacks.
Edit intent: coherence
Original: The FoundationDB Record Layer is an open source library that provides a record-oriented datastore with semantics similar to a relational database , implemented on top of FoundationDB, an ordered, transactional key-value store.
Revised: The FoundationDB Record Layer is an open source library that provides a record-oriented data store with semantics similar to a relational database , implemented on top of FoundationDB, an ordered, transactional key-value store.
Edit intent: fluency
Original: The FoundationDB Record Layer is an open source library that provides a record-oriented datastore with semantics similar to a relational database , implemented on top of FoundationDB, an ordered, transactional key-value store.
Revised: The FoundationDB Record Layer is an open source library that provides a record-oriented datastore with semantics similar to a relational database implemented on top of FoundationDB, an ordered, transactional key-value store.
Edit intent: fluency
Original:  Features provided by the Record Layer enable CloudKit to provide richer APIs and stronger semantics , with reduced maintenance overhead and improved scalability.
Revised:  Features provided by the Record Layer enable CloudKit to provide richer APIs and stronger semantics with reduced maintenance overhead and improved scalability.
Edit intent: fluency
Original:  Independent filters estimate the targets presence, state, and shape using a Gaussian process extent model;
Revised:  Independent filters estimate the vehicles' presence, state, and shape using a Gaussian process extent model;
Edit intent: clarity
Original:  An efficient implementation is achieved by parametric state representation, utilization of single hypothesis tracks, and fusion of target information based on a fusion mapping.
Revised:  An efficient implementation is achieved by parametric state representation, utilization of single hypothesis tracks, and fusion of vehicle information based on a fusion mapping.
Edit intent: clarity
Original:  We demonstrate the ability of our method to capture meaningful point-wise features by clustering the learned embedding space to perform unsupervised part-segmentation on point clouds  .
Revised:  We demonstrate the ability of our method to capture meaningful point-wise features by clustering the learned embedding space , we perform unsupervised part-segmentation on point clouds .
Edit intent: coherence
Original: Previous attempts at music artist classification use frame-level audio features which summarize frequency content within short intervals of time.
Revised: Previous attempts at music artist classification use frame level audio features which summarize frequency content within short intervals of time.
Edit intent: fluency
Original:  These include audio clip length, which is a novel contribution in this work, and previously identified considerations such as dataset split and feature-level .
Revised:  These include audio clip length, which is a novel contribution in this work, and previously identified considerations such as dataset split and feature level .
Edit intent: fluency
Original:  Our results improve upon baseline works, verify the influence of the production details on classification performance and demonstrate the trade-offs between sample length and training set size.
Revised:  Our results improve upon baseline works, verify the influence of the producer effect on classification performance and demonstrate the trade-offs between sample length and training set size.
Edit intent: clarity
Original:  Our results improve upon baseline works, verify the influence of the production details on classification performance and demonstrate the trade-offs between sample length and training set size.
Revised:  Our results improve upon baseline works, verify the influence of the production details on classification performance and demonstrate the trade-offs between audio length and training set size.
Edit intent: clarity
Original:  The best performing model achieves an average F1-score of 0.937 across three independent trials which is a substantial improvement over the corresponding baseline under similar conditions.
Revised:  The best performing model achieves an average F1 score of 0.937 across three independent trials which is a substantial improvement over the corresponding baseline under similar conditions.
Edit intent: fluency
Original:  Finally , to showcase the effectiveness of the CRNN's feature extraction capabilities, we visualize audio samples at its bottleneck layer demonstrating that learned representations segment into clusters belonging to their respective artists.
Revised:  Additionally , to showcase the effectiveness of the CRNN's feature extraction capabilities, we visualize audio samples at its bottleneck layer demonstrating that learned representations segment into clusters belonging to their respective artists.
Edit intent: fluency
Original:  Finally , to showcase the effectiveness of the CRNN's feature extraction capabilities, we visualize audio samples at its bottleneck layer demonstrating that learned representations segment into clusters belonging to their respective artists.
Revised:  Finally , to showcase the effectiveness of the CRNN's feature extraction capabilities, we visualize audio samples at the model's bottleneck layer demonstrating that learned representations segment into clusters belonging to their respective artists.
Edit intent: clarity
Original:  This increases the capacity of the intersection significantly, offering huge potential savings with respect to travel time in nowadays traffic.
Revised:  This increases the capacity of the intersection significantly, offering huge potential savings with respect to travel time compared to nowadays traffic.
Edit intent: clarity
Original:  In the context of high-level synthesis, the quality of the generated circuit relates directly to the code generated by the front-end compiler.
Revised:  In high-level synthesis, the quality of the generated circuit relates directly to the code generated by the front-end compiler.
Edit intent: coherence
Original:  Unfortunately, choosing a good order--often referred to as the phase-ordering problem--is an NP-hard problem.
Revised:  Choosing a good order--often referred to as the phase-ordering problem--is an NP-hard problem.
Edit intent: coherence
Original:  As a result, existing solutions rely on a variety of sub-optimal heuristics.
Edit intent: clarity
Original:  To this end, we implement a framework that takes any group of programs and finds a sequence of passes that optimize the performance of these programs.
Revised:  We implement a framework that takes any group of programs and finds a sequence of passes that optimize the performance of these programs.
Edit intent: coherence
Original:  In this paper , we propose an FPT approximation for HCKM without violating any hard constraints whose running time is 2^{O(k\log k) 69+\epsilon  .
Revised:  In this paper , we propose an FPT (k) algorithm with performance guarantee of 69+\epsilon .
Edit intent: clarity
Original:  To the best our knowledge, no constant approximation algorithm or existence proof of such an algorithms is known.
Revised:  To the best our knowledge, no constant approximation algorithm or existence proof of such an algorithm is known.
Edit intent: fluency
Original:  Here we introduce a spectral approach for testing structural hypotheses at both networkand node levels, by using generative models to estimate the  eigenvalue distribution under a specified null model  .
Revised:  Here we introduce a spectral approach for testing structural hypotheses at both networkand node levels, by using generative models to estimate the expected eigenvalue distribution under a specified null model .
Edit intent: clarity
Original:  Our spectral rejection approach is therefore a promising way to reveal structure in real-world networks, or lack thereof.
Revised:  Our spectral rejection approach is therefore a promising basis for detecting low-dimensional structure in real-world networks, or lack thereof.
Edit intent: clarity
Original: We extend a recently introduced framework for transient compartmentalization of replicators with selection dynamics, by including the effect of mutations and noise in such systems.
Revised: Can prelife proceed without cell division? A recently proposed mechanism suggests that transient compartmentalization could have preceded cell division in prebiotic scenarios. Here, we study transient compartmentalization dynamics in the presence of mutations and noise in such systems.
Edit intent: clarity
Original:  The global framework of DMN for mechanistic data-driven multiscale material modeling is discussed in detail on the offline training and online extrapolation stages.
Revised:  The global framework of DMN is discussed in detail on the offline training and online extrapolation stages.
Edit intent: clarity
Original:  The global framework of DMN for mechanistic data-driven multiscale material modeling is discussed in detail on the offline training and online extrapolation stages.
Revised:  The global framework of DMN for mechanistic data-driven multiscale material modeling is discussed in detail about the offline training and online extrapolation stages.
Edit intent: clarity
Original:  With linear elastic data generated by direct numerical simulations on a representative volume element (RVE), the network can be effectively trained in  offline stage using stochastic gradient descent and advanced model compression algorithms.
Revised:  With linear elastic data generated by direct numerical simulations on a representative volume element (RVE), the network can be effectively trained in the offline stage using stochastic gradient descent and advanced model compression algorithms.
Edit intent: fluency
Original: Understanding the heat use of customers is crucial for effective district heating (DH) operations and management.
Revised: Understanding the heat usage of customers is crucial for effective district heating (DH) operations and management.
Edit intent: fluency
Original: Understanding the heat use of customers is crucial for effective district heating (DH) operations and management.
Revised: Understanding the heat use of customers is crucial for effective district heating operations and management.
Edit intent: clarity
Original:  In this work, we propose a data-driven approach that enables automatic discovery of heat load patterns in a complete district heating network .
Revised:  In this work, we propose a data-driven approach that enables large-scale automatic analysis of heat load patterns in a complete district heating network .
Edit intent: clarity
Original:  In this work, we propose a data-driven approach that enables automatic discovery of heat load patterns in a complete district heating network .
Revised:  In this work, we propose a data-driven approach that enables automatic discovery of heat load patterns in district heating networks without requiring prior knowledge .
Edit intent: clarity
Original:  Our method clusters the buildings into different groups based on the characteristics of their load profiles, extracts the representative patternsfor each of them ,  and detects abnormal profiles , i.e., the ones deviating from the expected behavior.
Revised:  Our method clusters the customer profiles into different groups based on the characteristics of their load profiles, extracts the representative patternsfor each of them , and detects abnormal profiles , i.e., the ones deviating from the expected behavior.
Edit intent: clarity
Original:  Our method clusters the buildings into different groups based on the characteristics of their load profiles, extracts the representative patternsfor each of them ,  and detects abnormal profiles , i.e., the ones deviating from the expected behavior.
Revised:  Our method clusters the buildings into different groups , and detects abnormal profiles , i.e., the ones deviating from the expected behavior.
Edit intent: clarity
Original:  We present the first  comprehensive analysis of the heat load patterns by conducting a case study on all the buildings , in six customer categories, connected to two district heating networks in the south of Sweden.
Revised:  We present the first comprehensive analysis of the heat load patterns by conducting a case study on many buildings in six different customer categories connected to two district heating networks in the south of Sweden.
Edit intent: clarity
Original:  In conclusion, we demonstrate that the proposed approach has a great potential to develop knowledge about customers and their heat use habits in practice by automatically analyzing their typical and atypical profiles in large-scale .
Revised:  In conclusion, we demonstrate that the proposed method has a high potential to be deployed and used in practice to analyze and understand customers' heat-use habits .
Edit intent: clarity
Original: In this paper, we propose a model for non-cooperative Markov games with time-consistent risk-aware players.
Revised: We motivate and propose a new model for non-cooperative Markov games with time-consistent risk-aware players.
Edit intent: clarity
Original: In this paper, we propose a model for non-cooperative Markov games with time-consistent risk-aware players.
Revised: In this paper, we propose a model for non-cooperative Markov game which considers the interactions of risk-aware players.
Edit intent: clarity
Original:  In particular, our model characterizes the risk arising from both the stochastic state transitions and the randomized strategies of the other players.
Revised:  This model characterizes the risk arising from both the stochastic state transitions and the randomized strategies of the other players.
Edit intent: coherence
Original:  In particular, our model characterizes the risk arising from both the stochastic state transitions and the randomized strategies of the other players.
Revised:  In particular, our model characterizes the time-consistent dynamic "risk" from both stochastic state transitions and the randomized strategies of the other players.
Edit intent: clarity
Original:   Our numerical experiments on a two player queuing game demonstrate the worth and applicability of our model and corresponding Q-learning algorithm .
Revised:  Our numerical experiments on a two player queuing game validate the properties of our model and corresponding Q-learning algorithm .
Edit intent: clarity
Original:   Our numerical experiments on a two player queuing game demonstrate the worth and applicability of our model and corresponding Q-learning algorithm .
Revised:  Our numerical experiments on a two player queuing game demonstrate the worth and applicability of our model and algorithm, and demonstrate their worth and applicability in real life competitive decision-making .
Edit intent: clarity