wanyu/IteraTeR_v2 huggingface dataset:
Original:  We show that the computational load of PayPlace is typically orders of magnitude lower than the state-of-the-art scaling solution (Zero-Knowledge Rollup) for two-sided marketplaces .
Revised:  We show that the computational load of PayPlace is typically orders of magnitude cheaper than the state-of-art solution for non-pairwise off-chain payments, Zero Knowledge Rollups .
Edit intent: clarity
Original:  This is enabled by a dedicated dynamic data structure which organizes the online acquired point cloud with global-local trees . Globally, we compile the online reconstructed 3D points into an incrementally growing coordinate interval tree, enabling fast point insertion and neighborhood query.
Revised:  This is enabled by a dedicated dynamic data structure which organizes the online acquired point cloud with global-local trees . Globally, we compile the online reconstructed 3D points into an incrementally growing coordinate interval tree, enabling fast point insertion and neighborhood query.
Edit intent: fluency
Original:  It is also crucial to assess the accuracy of the linked file in order to make valid inferences based on the combined data.
Revised:  It is also crucial to assess the accuracy of the linkages to make valid inferences based on the combined data.
Edit intent: clarity
Original:  In our first paper, we proposed a Markov Chain based Monte Carlo simulation approach (MaCSim) for assessing linkage accuracy and illustrated the utility of the approach using a synthetic dataset provided by the Australian Bureau of Statistics (ABS) based on realistic data settings.
Revised:  In our first paper, we proposed a Markov Chain based Monte Carlo simulation approach (MaCSim) for assessing linking method and illustrated the utility of the approach using a synthetic dataset provided by the Australian Bureau of Statistics (ABS) based on realistic data settings.
Edit intent: clarity
Original: Record linkage is the process of bringing together the same entity from overlapping data sources , both administrative and substantive while removing duplicates.
Revised: Record linkage is the process of bringing together the same entity from overlapping data sources while removing duplicates.
Edit intent: clarity
Original:  for assessing linking method and illustrated the utility of the approach using a synthetic dataset provided by the Australian Bureau of Statistics (ABS) based on realistic data settings . MaCSim utilizes two linked files that have been previously linked on similar types of data to create an agreement matrix and then simulates the matrix using a proposed algorithm developed to generate re-sampled versions of the agreement matrix.
Revised:  for assessing a linking method . MaCSim utilizes two linked files that have been previously linked on similar types of data to create an agreement matrix and then simulates the matrix using a proposed algorithm developed to generate re-sampled versions of the agreement matrix.
Edit intent: clarity
Original:  In this paper, we aim to improve this method by calculating a similarity weight to create the agreement matrix.
Revised:  The improvement proposed here involves calculation of a similarity weight to create the agreement matrix.
Edit intent: clarity
Original:  This weight allows partial agreement of the linking variable values for record pairs in the form of a similarity weight .
Revised:  This weight allows partial agreement of the linking variable values . A threshold is calculated for every linking variable based on adjustable parameter "tolerance" for that variable .
Edit intent: clarity
Original:  To assess the average accuracy of linking  , correctly linked proportions are investigated for each record.
Revised:  To assess the accuracy of linking , correctly linked proportions are investigated for each record.
Edit intent: clarity
Original:  To assess the average accuracy of linking  , correctly linked proportions are investigated for each record.
Revised:  To assess the average accuracy of linking method , correctly linked proportions are investigated for each record.
Edit intent: clarity
Original:  These systems are comparatively easy to use and configure and thus, present a flexible solution for various data storage scenarios.
Revised:  These systems feature well-defined APIs for use and configuration and present flexible solutions for various data storage scenarios.
Edit intent: clarity
Original:  To prevent this,  the amount of data a given message broker can handle with a specific configuration  needs to be known .
Revised:  To prevent this, knowledge about the amount of data a given message broker can handle with a specific configuration needs to be known .
Edit intent: clarity
Original:  To prevent this,  the amount of data a given message broker can handle with a specific configuration  needs to be known .
Revised:  To prevent this, the amount of data a message broker using a specific configuration needs to be known .
Edit intent: clarity
Original:  To prevent this,  the amount of data a given message broker can handle with a specific configuration  needs to be known .
Revised:  To prevent this, the amount of data a given message broker can handle with a specific configuration needs to be available .
Edit intent: clarity
Original:  We present a comprehensive performance analysis of Apache Kafka, a popular message broker implementation, using our approach.
Revised:  We present a comprehensive performance analysis of the popular Apache Kafka platform using our approach.
Edit intent: clarity
Original:  It extracts important characteristics of the underlying dynamics by means of measured time-domain data produced either by means of experiments or by numerical simulations.
Revised:  It extracts important characteristics of the underlying dynamics using measured time-domain data produced either by means of experiments or by numerical simulations.
Edit intent: fluency
Original:  A challenge in such replacement steps is the treatment of the patch graph , consisting of those edges of the host graph that touch the subgraph, but are not part of it.
Revised:  A challenge in such replacement steps is the treatment of the patch graph , consisting of those edges of the host graph that touch the subgraph, but are not part of it.
Edit intent: fluency
Original:  We introduce the patch graph rewriting framework, a visual graph rewriting language with precise formal semantics.
Revised:  We introduce the patch graph rewriting framework, a visual graph rewriting language with precise formal semantics.
Edit intent: fluency
Original:  From both the verification and the system design points of view, some information content of such property might become irrelevant for the system due to various reasons  e.g., it might become obsolete by time, or perhaps infeasible due to practical difficulties.
Revised:  From both the verification and the system design points of view, some information content of such property might become irrelevant for the system due to various reasons , e.g., it might become obsolete by time, or perhaps infeasible due to practical difficulties.
Edit intent: fluency
Original:  From both the verification and the system design points of view, some information content of such property might become irrelevant for the system due to various reasons  e.g., it might become obsolete by time, or perhaps infeasible due to practical difficulties.
Revised:  From both the verification and the system design points of view, some information content of such property might become irrelevant for the system due to various reasons e.g., it might become obsolete by time, or perhaps in-feasible due to practical difficulties.
Edit intent: clarity
Original:  Furthermore, we analyse the computational complexity of basic tasks, including various results for the relevant fragment CTLAF .
Revised:  Furthermore, we analyse the computational complexity of some basic reasoning tasks for the fragment CTLAFin particular .
Edit intent: clarity
Original:  From both the verification and the system design points of view, some information content of such property might become irrelevant for the system due to various reasons, e.g., it might become obsolete by time, or perhaps in-feasible due to practical difficulties.
Revised:  From both the verification and the system design points of view, some information content of such property might become irrelevant for the system due to various reasons, e.g., it might become obsolete by time, or perhaps infeasible due to practical difficulties.
Edit intent: clarity
Original:  Furthermore, we analyse the computational complexity of some basic reasoning tasks for the fragment CTLAFin particular.
Revised:  Furthermore, we analyse the computational complexity of some basic reasoning tasks for the fragment CTL_AF in particular.
Edit intent: clarity
Original:  However, previous  methods mainly focus on reducing the model size and/or improving hardware performance , without considering the data privacy requirement.
Revised:  However, previous pruning methods mainly focus on reducing the model size and/or improving hardware performance , without considering the data privacy requirement.
Edit intent: clarity
Original:  However, previous  methods mainly focus on reducing the model size and/or improving hardware performance , without considering the data privacy requirement.
Revised:  However, previous methods mainly focus on reducing the model size and/or improving performance without considering the data privacy requirement.
Edit intent: clarity
Original: Objective: Deriving disease subtypes from electronic health records (EHRs) can guide next-generation personalized medicine.
Revised:  Deriving disease subtypes from electronic health records (EHRs) can guide next-generation personalized medicine.
Edit intent: coherence
Original:  Here , we present a novel unsupervised framework based on deep learning to process heterogeneous EHRs and derive patient representations that can efficiently and effectively enable patient stratification at scale.
Revised:  Here we present an unsupervised framework based on deep learning to process heterogeneous EHRs and derive patient representations that can efficiently and effectively enable patient stratification at scale.
Edit intent: clarity
Original:  Materials and methods: We considered EHRs of 1,608,741 patients from a diverse hospital cohort comprising of a total of 57,464 clinical concepts.
Revised:  We considered EHRs of 1,608,741 patients from a diverse hospital cohort comprising of a total of 57,464 clinical concepts.
Edit intent: clarity
Original:  Results: ConvAE significantly outperformed several common baselines in a clustering task to identify patients with different complex conditions, with 2.61 entropy and 0.31 purity average scores.
Revised:  ConvAE significantly outperformed several common baselines in a clustering task to identify patients with different complex conditions, with 2.61 entropy and 0.31 purity average scores.
Edit intent: coherence
Original:  Results: ConvAE significantly outperformed several common baselines in a clustering task to identify patients with different complex conditions, with 2.61 entropy and 0.31 purity average scores.
Revised:  Results: ConvAE significantly outperformed several baselines in a clustering task to identify patients with different complex conditions, with 2.61 entropy and 0.31 purity average scores.
Edit intent: clarity
Original:  Conclusions: Patient representations derived from modeling EHRs with ConvAE can help develop personalized medicine therapeutic strategies and better understand varying etiologies in heterogeneous sub-populations  .
Revised:  With these results, we demonstrate that ConvAE can generate patient representations that lead to clinically meaningful insights. This scalable framework can help better understand varying etiologies in heterogeneous sub-populations .
Edit intent: clarity
Original:  The protocol is ``generic'' , i.e., it can be deployed disregarding the underlying consensuses, and also ``superlight'' , i.e., the computational cost of the light client to predicate the (non)existence of a transaction in the blockchain becomes a small constant.
Revised:  The protocol is "generic" , i.e., it can be deployed disregarding the underlying consensuses, and also ``superlight'' , i.e., the computational cost of the light client to predicate the (non)existence of a transaction in the blockchain becomes a small constant.
Edit intent: fluency
Original:  The protocol is ``generic'' , i.e., it can be deployed disregarding the underlying consensuses, and also ``superlight'' , i.e., the computational cost of the light client to predicate the (non)existence of a transaction in the blockchain becomes a small constant.
Revised:  The protocol is ``generic'' , i.e., it can be deployed disregarding the underlying consensuses, and also "superlight" , i.e., the computational cost of the light client to predicate the (non)existence of a transaction in the blockchain becomes a small constant.
Edit intent: fluency
Original: Event-based cameras display great potential for a variety of conditions such as high-speed motion detection and enabling navigation in low-light environments where conventional frame-based cameras suffer critically.
Revised: Event-based cameras display great potential for a variety of tasks such as high-speed motion detection and enabling navigation in low-light environments where conventional frame-based cameras suffer critically.
Edit intent: clarity
Original: Event-based cameras display great potential for a variety of conditions such as high-speed motion detection and enabling navigation in low-light environments where conventional frame-based cameras suffer critically.
Revised: Event-based cameras display great potential for a variety of conditions such as high-speed motion detection and navigation in low-light environments where conventional frame-based cameras suffer critically.
Edit intent: clarity
Original:  Spiking Neural Networks (SNNs) serve as ideal paradigms to handle event camera outputs, but deep SNNs suffer in terms of performance due to  spike vanishing phenomenon.
Revised:  Spiking Neural Networks (SNNs) serve as ideal paradigms to handle event camera outputs, but deep SNNs suffer in terms of performance due to the spike vanishing phenomenon.
Edit intent: fluency
Original:  The paper's most important contribution---a derivation of formulas for the HSVD of 2\times 2 matrices---is presented first, followed by the details of their implementation in floating-point arithmetic.
Revised:  The paper's most important contribution -- a derivation of formulas for the HSVD of 2\times 2 matrices---is presented first, followed by the details of their implementation in floating-point arithmetic.
Edit intent: fluency
Original:  The paper's most important contribution---a derivation of formulas for the HSVD of 2\times 2 matrices---is presented first, followed by the details of their implementation in floating-point arithmetic.
Revised:  The paper's most important contribution---a derivation of formulas for the HSVD of 2\times 2 matrices -- is presented first, followed by the details of their implementation in floating-point arithmetic.
Edit intent: fluency
Original:  Additionally, we prove how this framework comes with a collection of theoretically desirable properties and enables novel analysis.
Revised:  We prove how this framework comes with a collection of theoretically desirable properties and enables novel analysis.
Edit intent: coherence
Original:  We show how this allows us to outperform state of the art on four different well known datasets in graph classification and how our method can separate classes of graphs that other graph-learning methods cannot.
Revised:  We show how this allows us to achieve state-of-the-art performance on four different well known datasets in graph classification and how our method can separate classes of graphs that other graph-learning methods cannot.
Edit intent: clarity
Original:  We show how this allows us to outperform state of the art on four different well known datasets in graph classification and how our method can separate classes of graphs that other graph-learning methods cannot.
Revised:  We show how this allows us to outperform state of the art on four different well-known datasets in graph classification and how our method can separate classes of graphs that other graph-learning methods cannot.
Edit intent: fluency
Original:  We show how this allows us to outperform state of the art on four different well known datasets in graph classification and how our method can separate classes of graphs that other graph-learning methods cannot.
Revised:  We show how this allows us to outperform state of the art on four different well known datasets in graph classification and separate classes of graphs that other graph-learning methods cannot.
Edit intent: clarity
Original:  Our approach is inspired by persistence homology, dependency parsing for Natural Language Processing , and multivalued functions.
Revised:  Our approach is inspired by persistent homology, dependency parsing for Natural Language Processing , and multivalued functions.
Edit intent: clarity
Original:  Our approach is inspired by persistence homology, dependency parsing for Natural Language Processing , and multivalued functions.
Revised:  Our approach is inspired by persistence homology, dependency parsing for NLP , and multivalued functions.
Edit intent: clarity
Original:  The complexity of the underlying algorithm is O( mn ) and code is publicly available .
Revised:  The complexity of the underlying algorithm is O( mn ) and code is publicly available URL
Edit intent: coherence
Original: Predicting and modeling human behavior and finding trends within human decision-making process is a major social sciences'problem . Rock Paper Scissors (RPS) is the fundamental strategic question in many game theory problems and real-world competitions.
Revised: Predicting and modeling human behavior and finding trends within human decision-making processes is a major social sciences'problem . Rock Paper Scissors (RPS) is the fundamental strategic question in many game theory problems and real-world competitions.
Edit intent: fluency
Original: Predicting and modeling human behavior and finding trends within human decision-making process is a major social sciences'problem . Rock Paper Scissors (RPS) is the fundamental strategic question in many game theory problems and real-world competitions.
Revised: Predicting and modeling human behavior and finding trends within human decision-making process is a major problem of social science . Rock Paper Scissors (RPS) is the fundamental strategic question in many game theory problems and real-world competitions.
Edit intent: clarity
Original:  Here we use Markov Chains with set chain lengths as the single AIs (artificial intelligences ) to compete against humans in  iterated RPS game.
Revised:  Here we use Markov Chains with set chain lengths as the single AIs (artificial intelligences ) to compete against humans in an iterated RPS game.
Edit intent: fluency
Original:  This is the first time that an AI algorithm is applied in RPS human competition behavior studies.
Revised:  We model and predict human competition behavior studies.
Edit intent: clarity
Original:  We introduce a parameter  "focus length" ( an integer of e.g. 5 or 10) to control the speed and sensitivity for our multi-AI to adapt to the opponent's strategy change.
Revised:  We introduce a parameter called "focus length" ( an integer of e.g. 5 or 10) to control the speed and sensitivity for our multi-AI to adapt to the opponent's strategy change.
Edit intent: fluency
Original:  We introduce a parameter  "focus length" ( an integer of e.g. 5 or 10) to control the speed and sensitivity for our multi-AI to adapt to the opponent's strategy change.
Revised:  We introduce a parameter "focus length" ( a positive number such as 5 or 10) to control the speed and sensitivity for our multi-AI to adapt to the opponent's strategy change.
Edit intent: clarity
Original:   We experimented with 52 different people, each playing 300 rounds continuously against one specific multi-AI model, and demonstrated that our strategy could win over more than 95\% of human opponents.
Revised:  We experimented with 52 different people, each playing 300 rounds continuously against one specific multi-AI model, and demonstrated that our strategy could win against more than 95\% of human opponents.
Edit intent: fluency
Original:  In this study, we propose an effective edge-based approach for promoting the spreading dynamics of the susceptible-infected-recovered model on complex networks by adding connections that do not exist in the original networks.
Revised:  In this study, we propose an effective edge-based strategy to promote the spreading dynamics of the susceptible-infected-recovered model on complex networks by adding connections that do not exist in the original networks.
Edit intent: clarity
Original:  Specifically, we first quantify the influence of each latent edge (that is, each edge that does not exist or activated before) by a mathematical model.
Revised:  Specifically, we first quantify the influence of each latent edge by a mathematical model.
Edit intent: clarity
Original:  We verify the effectiveness of our strategy by extensive numerical simulations and prove that our strategy outperforms those approaches that only consider the network structure .
Revised:  We verify the effectiveness of our strategy and demonstrates that our strategy outperforms those approaches that only consider the network structure .
Edit intent: clarity
Original:  Then, we strategically add the latent edges to the original networks according to the  influence of each latent edge.
Revised:  Then, we strategically add the latent edges to the original networks according to the potential influence of each latent edge.
Edit intent: clarity
Original:  The result of numerical simulations verifies the effectiveness of our strategy and demonstrates that our strategy outperforms certain static strategies, namely, adding the latent edges between nodes with the largest degree or eigenvector centrality.
Revised:  Numerical simulations verify the effectiveness of our strategy and demonstrates that our strategy outperforms certain static strategies, namely, adding the latent edges between nodes with the largest degree or eigenvector centrality.
Edit intent: clarity
Original:  This study fills up the research blankness of promoting the SIR spreading dynamics by structural perturbations to some extent .
Revised:  This study provides an effective way of promoting the SIR spreading dynamics by structural perturbations to some extent .
Edit intent: clarity
Original:  In this context, we propose and examine a new SGD architecture, namely, load-sharing SGD (LS-SGD)  . For this diversity scheme, we define the system outage probability (SOP) using a rigorous probabilistic analysis based on the Poisson binomial distribution (PBD), and taking into consideration the traffic demand as well as the gateway (GW) capacity.
Revised:  In this context, we examine a load-sharing SGD (LS-SGD) . For this diversity scheme, we define the system outage probability (SOP) using a rigorous probabilistic analysis based on the Poisson binomial distribution (PBD), and taking into consideration the traffic demand as well as the gateway (GW) capacity.
Edit intent: clarity
Original: This paper evaluates three rounding functions for nearest neighbor (NN) image interpolation  .
Revised: A novel evaluation study of the most appropriate round function for nearest-neighbor (NN) image interpolation .
Edit intent: clarity
Original:  Both full- and non-reference image quality assessment (IQA) metrics evaluate interpolation image quality objectively to extract the number of achieved occurrences over targeted occurrences .
Revised:  Both full- and no-reference image quality assessment (IQA) metrics evaluate interpolation image quality objectively to extract the number of achieved occurrences over targeted occurrences .
Edit intent: clarity