wanyu/IteraTeR_v2 huggingface dataset:
Original:  Moreover, post-hoc model analysis was employed to interpret the predictions and examine the importance of the explanatory variables.
Revised:  Moreover, post-hoc model was employed to interpret the predictions and examine the importance of the explanatory variables.
Edit intent: clarity
Original:  We show how the specific basis functions can be efficiently computed by low-dimensional elliptic problems, and confirm the practicability and performance of the method for a numerical example .
Revised:  We show how the specific basis functions can be efficiently computed by low-dimensional elliptic problems, and confirm the practicability and performance of the method with numerical experiments .
Edit intent: clarity
Original: Nowadays, the increasing of demand and the progressive decrease of resources are causing an increase of patient' s waiting time in many chemotherapy oncology departments.
Revised: Nowadays, the increase of demand and the progressive decrease of resources are causing an increase of patient' s waiting time in many chemotherapy oncology departments.
Edit intent: fluency
Original: Nowadays, the increasing of demand and the progressive decrease of resources are causing an increase of patient' s waiting time in many chemotherapy oncology departments.
Revised: Nowadays, the increasing of demand and the progressive decrease of resources are causing higher patients' waiting time in many chemotherapy oncology departments.
Edit intent: clarity
Original:  The reduction of these waits is one of the main goal of any healthcare manager , since it implies to enhance the quality of health services and to avoid claims and disappointments.
Revised:  Reducing these waiting times is one of the main goal of any healthcare manager , since it implies to enhance the quality of health services and to avoid claims and disappointments.
Edit intent: clarity
Original:  The reduction of these waits is one of the main goal of any healthcare manager , since it implies to enhance the quality of health services and to avoid claims and disappointments.
Revised:  The reduction of these waits is one of the main goals of any healthcare manager , since it implies to enhance the quality of health services and to avoid claims and disappointments.
Edit intent: fluency
Original:  The reduction of these waits is one of the main goal of any healthcare manager , since it implies to enhance the quality of health services and to avoid claims and disappointments.
Revised:  The reduction of these waits is one of the main goal of any healthcare manager since it implies to enhance the quality of health services and to avoid claims and disappointments.
Edit intent: fluency
Original:  Simulation models are considered an effective tool for identifying possible ways for improving the oncology patient's pathway .
Revised:  Simulation models are considered an effective tool for identifying potential ways to improve the patient's pathway .
Edit intent: clarity
Original:  Differently from the typical discrete-event simulations existing in the literature, in this paper a novel agent-based approach, which can be adapted to the needs of any oncology department, is presented.
Revised:  Differently from the typical discrete-event simulations existing in the literature, in this paper a novel agent-based simulation model, which is designed to be configurable and adaptable to the needs of any oncology department, is presented.
Edit intent: clarity
Original:  Reducing these waiting times is one of the main goals of any healthcare manager since it implies to enhance the quality of health services and to avoid claims and disappointments . Simulation models are considered an effective tool for identifying potential ways to improve the patient 's pathway in an oncology unit.
Revised:  Therefore, enhancing the quality of health services is needed so as to avoid claims and disappointments. To this end, reducing the patients' waiting times in the oncology units represents one of the main goals of any healthcare manager since it implies to enhance the quality of health services and to avoid claims and disappointments . Simulation models are considered an effective tool for identifying potential ways to improve the patient 's pathway in an oncology unit.
Edit intent: coherence
Original:  Reducing these waiting times is one of the main goals of any healthcare manager since it implies to enhance the quality of health services and to avoid claims and disappointments . Simulation models are considered an effective tool for identifying potential ways to improve the patient 's pathway in an oncology unit.
Revised:  Reducing these waiting times is one of the main goals of any healthcare manager . Simulation models are considered an effective tool for identifying potential ways to improve the patient 's pathway in an oncology unit.
Edit intent: coherence
Original:  Reducing these waiting times is one of the main goals of any healthcare manager since it implies to enhance the quality of health services and to avoid claims and disappointments . Simulation models are considered an effective tool for identifying potential ways to improve the patient 's pathway in an oncology unit.
Revised:  Reducing these waiting times is one of the main goals of any healthcare manager since it implies to enhance the quality of health services and to avoid claims and disappointments . Simulation models are considered an effective tool for identifying potential ways to improve the patient flow in an oncology unit.
Edit intent: clarity
Original:  In this regard, a new agent-based simulation model , which is designed to be configurable and adaptable to the needs of any oncology department, is proposed.
Revised:  This paper presents a new agent-based simulation model , which is designed to be configurable and adaptable to the needs of any oncology department, is proposed.
Edit intent: clarity
Original:  In this regard, a new agent-based simulation model , which is designed to be configurable and adaptable to the needs of any oncology department, is proposed.
Revised:  In this regard, a new agent-based simulation model properly designed to be configurable and adaptable to the needs of any oncology department, is proposed.
Edit intent: coherence
Original:  In these cases, a courier service is needed to deliver the therapies collected in batches from the pharmacy to the oncology department.
Revised:  In these cases, a courier service is needed to deliver the therapies , collected in several batches, from the pharmacy to the oncology department.
Edit intent: clarity
Original:  A real oncology unit was studied through the agent-based simulations and alternative scenarios were compared with the aim  of reducing the patients' waiting time.
Revised:  A real oncology unit was studied through the agent-based simulation and alternative scenarios were compared with the aim of reducing the patients' waiting time.
Edit intent: fluency
Original:  Analyzes were made with the autoregressive fractionally integrated moving average model (FARIMA) for approximately 10 million tweets collected between September 1 and October 21, 2020.
Revised:  Analyzes were made for approximately 10 million tweets collected between September 1 and October 21, 2020.
Edit intent: clarity
Original:  Fortunately, high-dimensional covariance matrices  observed in text, click-through, and meta-genomics datasets  are often sparse.
Revised:  Fortunately, high-dimensional covariance matrices as observed in text, click-through, and meta-genomics datasets are often sparse.
Edit intent: clarity
Original:  Fortunately, high-dimensional covariance matrices  observed in text, click-through, and meta-genomics datasets  are often sparse.
Revised:  Fortunately, high-dimensional covariance matrices observed in text, click-through, meta-genomics datasets are often sparse.
Edit intent: fluency
Original:  Fortunately, high-dimensional covariance matrices  observed in text, click-through, and meta-genomics datasets  are often sparse.
Revised:  Fortunately, high-dimensional covariance matrices observed in text, click-through, and meta-genomics datasets , etc are often sparse.
Edit intent: coherence
Original:  In this paper, we consider the problem of efficiently estimating a sparse covariance matrix, which can scale to matrices with trillions of entries.
Revised:  In this paper, we consider the problem of efficient sparse estimation of covariance matrices with possibly trillions of entries.
Edit intent: clarity
Original:  The scale of the datasets  requires the algorithm to be online, as any second pass over the data is prohibitive.
Revised:  The size of the datasets requires the algorithm to be online, as any second pass over the data is prohibitive.
Edit intent: clarity
Original:  At the heart of our approach is a novel active sampling strategy that increases the SNR of classical count sketches .
Revised:  At the heart of our approach is a novel active sampling strategy that increases the SNR of classical CS .
Edit intent: clarity
Original:  Results and Significance: The analysis indicated high overall consistency for sagittal plane curvature angles during all activities, but lower consistency for frontal and transverse plane angles during walking and running.
Revised:  Results and Significance: The analysis indicated high relative consistency for sagittal plane curvature angles during all activities, but lower consistency for frontal and transverse plane angles during walking and running.
Edit intent: clarity
Original:  Results and Significance: The analysis indicated high overall consistency for sagittal plane curvature angles during all activities, but lower consistency for frontal and transverse plane angles during walking and running.
Revised:  Results and Significance: The analysis indicated high overall consistency for sagittal plane curvature angles during all activities, but not for frontal and transverse plane angles during walking and running.
Edit intent: clarity
Original:  It significantly affects model performance , and especially on tail items.
Revised:  It significantly hurts model performance on tail items.
Edit intent: clarity
Original:  Specifically, we propose a novel dual transfer learning framework that collaboratively learns the knowledge transfer from both model-level and item-level .
Revised:  Specifically, we propose a novel dual transfer learning framework that jointly learns the knowledge transfer from both model-level and item-level .
Edit intent: clarity
Original:  It captures the implicit data augmentation on the model level to improve the representation learning of tail items.
Revised:  It captures the implicit data augmentation on the model-level to improve the representation learning of tail items.
Edit intent: fluency
Original:   The item-level transfer connects head and tail items through item-level features, to ensure a smooth transfer of meta-mapping from head items to tail items.
Revised:  2. The item-level transfer connects head and tail items through item-level features, to ensure a smooth transfer of meta-mapping from head items to tail items.
Edit intent: fluency
Original: In electrocardiography, the "classic" inverse problem consists of finding electric potentials on a surface enclosing the heart from remote recordings on the body surface and an accurate description of the anatomy.
Revised: In electrocardiography, the "classic" inverse problem is the reconstruction of electric potentials at a surface enclosing the heart from remote recordings on the body surface and an accurate description of the anatomy.
Edit intent: clarity
Original: In electrocardiography, the "classic" inverse problem consists of finding electric potentials on a surface enclosing the heart from remote recordings on the body surface and an accurate description of the anatomy.
Revised: In electrocardiography, the "classic" inverse problem consists of finding electric potentials on a surface enclosing the heart from remote recordings at the body surface and an accurate description of the anatomy.
Edit intent: fluency
Original:  In the inverse problem, the sparse quadrature and the quasi-Monte Carlo methods perform as expected except with total variation regularisation, in which convergence is limited by lack of regularity.
Revised:  In the inverse problem, the sparse quadrature and the quasi-Monte Carlo method perform as expected except with total variation regularisation, in which convergence is limited by lack of regularity.
Edit intent: fluency
Original:  In the inverse problem, the sparse quadrature and the quasi-Monte Carlo methods perform as expected except with total variation regularisation, in which convergence is limited by lack of regularity.
Revised:  In the inverse problem, the sparse quadrature and the quasi-Monte Carlo methods perform as expected , except for the total variation regularisation, in which convergence is limited by lack of regularity.
Edit intent: coherence
Original:  In the inverse problem, the sparse quadrature and the quasi-Monte Carlo methods perform as expected except with total variation regularisation, in which convergence is limited by lack of regularity.
Revised:  In the inverse problem, the sparse quadrature and the quasi-Monte Carlo methods perform as expected except with total variation regularisation, where convergence is limited by lack of regularity.
Edit intent: clarity
Original: Traditional Multi-robot Motion Planning (MMP) focuses on planning trajectories for multiple robots acting in an environment, such that the robots do not collide when the trajectories are taken simultaneously.
Revised: Traditional multi-robot motion planning (MMP) focuses on planning trajectories for multiple robots acting in an environment, such that the robots do not collide when the trajectories are taken simultaneously.
Edit intent: fluency
Original: Traditional Multi-robot Motion Planning (MMP) focuses on planning trajectories for multiple robots acting in an environment, such that the robots do not collide when the trajectories are taken simultaneously.
Revised: Traditional Multi-robot Motion Planning (MMP) focuses on computing trajectories for multiple robots acting in an environment, such that the robots do not collide when the trajectories are taken simultaneously.
Edit intent: clarity
Original:  In safety-critical environments  , a human supervisor may want to verify that the plan is indeed collision-free.
Revised:  In safety-critical , a human supervisor may want to verify that the plan is indeed collision-free.
Edit intent: clarity
Original:  In safety-critical environments  , a human supervisor may want to verify that the plan is indeed collision-free.
Revised:  In safety-critical environments applications , a human supervisor may want to verify that the plan is indeed collision-free.
Edit intent: clarity
Original:  We show that standard notions of optimality (e.g., makespan) make conflict with short explanations.
Revised:  We show that standard notions of optimality (e.g., makespan) may create conflict with short explanations.
Edit intent: clarity
Original:  We proceed to show experimental results of MAPS-X with various environments and planners.
Revised:  We proceed to show experimental results of MAPS-X 
Edit intent: clarity
Original: Traditional multi-robot motion planning (MMP) focuses on computing trajectories for multiple robots acting in an environment, such that the robots do not collide when the trajectories are taken simultaneously.
Revised: Traditional multi-robot motion planning (MMP) focuses on computing trajectories for multiple robots acting in an environment, such that the robots do not collide when the trajectories are taken simultaneously.
Edit intent: fluency
Original:  In safety-critical applications, a human supervisor may want to verify that the plan is indeed collision-free.
Revised:  In safety-critical applications, a human supervisor may want to verify that the plan is indeed collision-free.
Edit intent: fluency
Original:  We demonstrate the efficacy of this explanation-planning scheme and extensively evaluate the performance of MAPS-X 
Revised:  We demonstrate the efficacy of this explanation-planning scheme and extensively evaluate the performance of MAPS-X .
Edit intent: fluency
Original:  to the best of our knowledge, the state-of-the-art distributed algorithm for this problem with a message complexity of o  (m^{3/4}) incurs a round complexity of \Omega(m^{1/3 (m^{2/3) and an amortized round complexityof }%DIFDELCMD < O(1) %%% under fully dynamic edge updates in the CONGEST model, where (\cdot) suppresses polylogarithmic factors. 
Revised:  to the best of our knowledge, the state-of-the-art distributed algorithm for this problem with a message complexity of o (m^{3/4}) (m^{2/3) and an amortized round complexityof }%DIFDELCMD < O(1) %%% under fully dynamic edge updates in the CONGEST model, where (\cdot) suppresses polylogarithmic factors. 
Edit intent: clarity
Original:  to the best of our knowledge, the state-of-the-art distributed algorithm for this problem with a message complexity of o  (m^{3/4}) incurs a round complexity of \Omega(m^{1/3 (m^{2/3) and an amortized round complexityof }%DIFDELCMD < O(1) %%% under fully dynamic edge updates in the CONGEST model, where (\cdot) suppresses polylogarithmic factors. 
Revised:  to the best of our knowledge, the state-of-the-art distributed algorithm for this problem with a message complexity of o (m^{3/4}) incurs a round complexity of \Omega(m^{1/3 (m^{2/3) and an amortized round complexityof }%DIFDELCMD < O(1) %%% under fully dynamic edge updates in the CONGEST model, where (\cdot) suppresses polylogarithmic factors. ...
Edit intent: fluency
Original:  Most of our focus is on the MIS algorithm, which achieves O\left(m^{2/3}\log^2 n\right) amortized messages in O\left(\log^2 n\right) amortized rounds in the Congest model.
Revised:  Most of our focus is on our MIS algorithm, which achieves O\left(m^{2/3}\log^2 n\right) amortized messages in O\left(\log^2 n\right) amortized rounds in the Congest model.
Edit intent: fluency
Original:  However, it remains a challenge due to the behavior of a target agent being affected by other agents dynamically , and there being more than one socially possible paths the agent could take.
Revised:  However, it remains a challenge due to the behavior of a target agent being affected by other agents dynamically and there being more than one socially possible paths the agent could take.
Edit intent: fluency
Original:  Then, two LSTM encoders are trained to learn temporal context between steps by taking the  observed trajectories and the extracted dynamic spatial context as input , respectively .
Revised:  Then, the two-stream encoders are trained to learn temporal context between steps by taking the observed trajectories and the extracted dynamic spatial context as input , respectively .
Edit intent: clarity
Original:  Then, two LSTM encoders are trained to learn temporal context between steps by taking the  observed trajectories and the extracted dynamic spatial context as input , respectively .
Revised:  Then, two LSTM encoders are trained to learn temporal context between steps by taking the respective observed trajectories and the extracted dynamic spatial context as input , respectively .
Edit intent: clarity
Original:  Then, two LSTM encoders are trained to learn temporal context between steps by taking the  observed trajectories and the extracted dynamic spatial context as input , respectively .
Revised:  Then, two LSTM encoders are trained to learn temporal context between steps by taking the observed trajectories and the extracted dynamic spatial context as input .
Edit intent: coherence
Original:  DCENet is evaluated on the largest and most challenging trajectory forecasting benchmark Trajnet and reports a new state-of-the-art performance.
Revised:  DCENet is evaluated on one of the most popular challenging benchmarks for trajectory forecasting Trajnet and reports a new state-of-the-art performance.
Edit intent: clarity
Original:  It also demonstrates superior performance evaluated on the benchmark InD for mixed traffic at intersections.
Revised:  It also demonstrates superior performance evaluated on the benchmark inD for mixed traffic at intersections.
Edit intent: fluency
Original:  A series of ablation studies are conducted to validate the effectiveness of each proposed module.
Revised:  A series of ablation studies is conducted to validate the effectiveness of each proposed module.
Edit intent: fluency
Original: We examine a modification of the Fisher-Kolmogorov-Petrovskiy-Piskunov (FKPP) process in which the diffusing substance requires a parent density field for reproduction.
Revised: We examine a modification of the Fisher-Kolmogorov-Petrovsky-Piskunov (FKPP) process in which the diffusing substance requires a parent density field for reproduction.
Edit intent: fluency
Original: According to a very popular belief - very widespread among non-scientific communities - the exploitation of narrow beams, a.k.a. "pencil beamforming", will dramatically increase the exposure levels radiated by 5G Base Stations  .
Revised: According to a very popular belief - very widespread among non-scientific communities - the exploitation of narrow beams, a.k.a. "pencil beamforming", results in a prompt increase of exposure levels radiated by 5G Base Stations .
Edit intent: clarity
Original: According to a very popular belief - very widespread among non-scientific communities - the exploitation of narrow beams, a.k.a. "pencil beamforming", will dramatically increase the exposure levels radiated by 5G Base Stations  .
Revised: According to a very popular belief - very widespread among non-scientific communities - the exploitation of narrow beams, a.k.a. "pencil beamforming", will dramatically increase the exposure levels radiated by 5G Base Stations (BSs) .
Edit intent: clarity
Original:  To face such concern with a scientific approach, in this work we derive a simple yet meaningful model to evaluate the ElectroMagnetic Field (EMF) exposure from a set of 5G Base Stations employing pencil beamforming . Results, obtained by coding our model in a publicly released open-source simulator, dispel the myth: pencil beamforming allows to radically reduce the exposure w.r.t. the case in which no beamforming is exploited.
Revised:  To face such concern with a scientific approach, in this work we derive a simple yet meaningful model to evaluate the ElectroMagnetic Field (EMF) exposure from a set of 5G Base Stations employing pencil beamforming . Results, obtained from a publicly released open-source simulator, dispel the myth: pencil beamforming allows to radically reduce the exposure w.r.t. the case in which no beamforming is exploited.
Edit intent: clarity
Original:  To face such concern with a scientific approach, in this work we derive a simple yet meaningful model to evaluate the ElectroMagnetic Field (EMF) exposure from a set of 5G Base Stations employing pencil beamforming . Results, obtained by coding our model in a publicly released open-source simulator, dispel the myth: pencil beamforming allows to radically reduce the exposure w.r.t. the case in which no beamforming is exploited.
Revised:  To face such concern with a scientific approach, in this work we derive a simple yet meaningful model to evaluate the ElectroMagnetic Field (EMF) exposure from a set of 5G Base Stations employing pencil beamforming . Results, obtained by coding our model in a publicly released open-source simulator, dispel the myth: the adoption of localization-enhanced pencil beamforming triggers a prompt reduction of exposure w.r.t. the case in which no beamforming is exploited.
Edit intent: clarity
Original:  In this paper  we employ multifractal analysis to examine the behavior of EEG signals in terms of presence of fluctuations and the degree of fragmentation along their major frequency bands, for the task of emotion recognition.
Revised:  In this paper , we employ multifractal analysis to examine the behavior of EEG signals in terms of presence of fluctuations and the degree of fragmentation along their major frequency bands, for the task of emotion recognition.
Edit intent: fluency