wanyu/IteraTeR_v2 huggingface dataset:
Original: We present a link-centric approach to study variation in the mobile phone communication patterns of users . Unlike most previous research on call detail records that focused on the variation of phone usage across individual users, we examine how the calling and texting patterns obtained from call detail records vary among pairs of users and how these patterns are affected by the nature of relationships between users.
Revised: We present a link-centric approach to study variation in the mobile phone communication patterns of individuals . Unlike most previous research on call detail records that focused on the variation of phone usage across individual users, we examine how the calling and texting patterns obtained from call detail records vary among pairs of users and how these patterns are affected by the nature of relationships between users.
Edit intent: clarity
Original:  By looking at the classifier performance across different age and gender groups  , we gain insights into how communication patterns vary across different relationships.
Revised:  From the classifier performance across different age and gender groups , we gain insights into how communication patterns vary across different relationships.
Edit intent: clarity
Original:  By looking at the classifier performance across different age and gender groups  , we gain insights into how communication patterns vary across different relationships.
Revised:  By looking at the classifier performance across different age and gender groups , we gain insights into the similarity and differences of communication patterns across different relationships.
Edit intent: clarity
Original: The paper deals with computer simulation of first-order quasilinear partial differential equations in an online computer simulation environment, such as Simulink .
Revised: The paper deals with solving first-order quasilinear partial differential equations in an online computer simulation environment, such as Simulink .
Edit intent: clarity
Original: The paper deals with computer simulation of first-order quasilinear partial differential equations in an online computer simulation environment, such as Simulink .
Revised: The paper deals with computer simulation of first-order quasilinear partial differential equations in an online simulation environment, such as Simulink .
Edit intent: fluency
Original:  The well-known and well-recommended method of characteristics is employed as it provides better numerical stability than the space discretization methods most commonly used in this context.
Revised:  The well-known and well-recommended method of characteristics . Compared to the commonly applied space discretization methods most commonly used in this context.
Edit intent: clarity
Original:  The implementation employs Simulink's standard solver and its zero-crossing detection algorithm to perform simultaneous integration of a pool of characteristics as well as to create new characteristics dynamically and discard the old ones.
Revised:  The implementation employs Simulink's built-in solver and its zero-crossing detection algorithm to perform simultaneous integration of a pool of characteristics as well as to create new characteristics dynamically and discard the old ones.
Edit intent: clarity
Original:   The subsystem has been tested with several examples and produced better results than  space discretization-based solutions .
Revised:  The subsystem has been tested with several examples and produced better results than the space discretization-based solutions .
Edit intent: fluency
Original: Motivated by the demand to analyze complex physiological time series, we provide a quasi-uniform spherical t-design for any dimensional {\em  sphere based on an optimization approach.
Revised: Motivated by the demand to analyze complex time series, we provide a quasi-uniform spherical t-design for any dimensional {\em sphere based on an optimization approach.
Edit intent: clarity
Original: Motivated by the demand to analyze complex physiological time series, we provide a quasi-uniform spherical t-design for any dimensional {\em  sphere based on an optimization approach.
Revised: Motivated by the demand to analyze complex physiological time series, we provide a quasi-uniform spherical t-design for any dimensional {\em complex sphere based on an optimization approach.
Edit intent: fluency
Original:  The design is generalized to achieve a quasi-uniform spherical (k,l)-design for complex sphere of arbitrary dimension.
Revised:  We provide the first theoretical justification of the existence of the optimal spherical (k,l)-design for complex sphere of arbitrary dimension.
Edit intent: clarity
Original: Motivated by the demand to analyze complex time series, we provide a quasi-uniform spherical (k,l)-design for any dimensional%DIFDELCMD < {\em %%% complex sphere based on an optimization approach.
Revised: %DIFDELCMD < {\em %%% complex sphere based on an optimization approach.
Edit intent: coherence
Original: Motivated by the demand to analyze complex time series, we provide a quasi-uniform spherical (k,l)-design for any dimensional%DIFDELCMD < {\em %%% complex sphere based on an optimization approach.
Revised: Motivated by the demand to analyze complex time series, we provide a quasi-uniform spherical (k,l)-design for any dimensional%DIFDELCMD < {\em %%% sphere based on an optimization approach.
Edit intent: fluency
Original:  A pair ( C,G ) of polynomial sets is a strong regular characteristic pair if G is a reduced lexicographical Groebner basis, C is the W-characteristic set of the ideal <G>, the saturated ideal sat(C) of C is equal to <G>, and C is regular.
Revised:  A pair ( G,C ) of polynomial sets is a strong regular characteristic pair if G is a reduced lexicographical Groebner basis, C is the W-characteristic set of the ideal <G>, the saturated ideal sat(C) of C is equal to <G>, and C is regular.
Edit intent: clarity
Original:  form a strong regular characteristic pair (C,G), and for any polynomial ideal I with given generators one can either detect that I is unit, or construct a strong regular characteristic pair ( C,G ) by computing Groebner bases such that I \subseteq \subseteqsat sat(C)  , so the radical ideal of I can be split into the saturated ideal sat(C) and the quotient ideal I:sat(C).
Revised:  form a strong regular characteristic pair (C,G), and for any polynomial ideal I with given generators one can either detect that I is unit, or construct a strong regular characteristic pair ( G,C ) by computing Groebner bases such that I \subseteq \subseteqsat sat(C) , so the radical ideal of I can be split into the saturated ideal sat(C) and the quotient ideal I:sat(C).
Edit intent: fluency
Original:  form a strong regular characteristic pair (C,G), and for any polynomial ideal I with given generators one can either detect that I is unit, or construct a strong regular characteristic pair ( C,G ) by computing Groebner bases such that I \subseteq \subseteqsat sat(C)  , so the radical ideal of I can be split into the saturated ideal sat(C) and the quotient ideal I:sat(C).
Revised:  form a strong regular characteristic pair (C,G), and for any polynomial ideal I with given generators one can either detect that I is unit, or construct a strong regular characteristic pair ( C,G ) by computing Groebner bases such that I \subseteqsat sat(C) , so the radical ideal of I can be split into the saturated ideal sat(C) and the quotient ideal I:sat(C).
Edit intent: fluency
Original:  form a strong regular characteristic pair (C,G), and for any polynomial ideal I with given generators one can either detect that I is unit, or construct a strong regular characteristic pair ( C,G ) by computing Groebner bases such that I \subseteq \subseteqsat sat(C)  , so the radical ideal of I can be split into the saturated ideal sat(C) and the quotient ideal I:sat(C).
Revised:  form a strong regular characteristic pair (C,G), and for any polynomial ideal I with given generators one can either detect that I is unit, or construct a strong regular characteristic pair ( C,G ) by computing Groebner bases such that I \subseteq \subseteqsat sat(C) , so the ideal I can be split into the saturated ideal sat(C) and the quotient ideal I:sat(C).
Edit intent: clarity
Original:  We present some properties about strong regular characteristic pairs and characteristic decompositions and illustrate the proposed algorithm and its performance by examples and experimental results.
Revised:  We present some properties about strong regular characteristic pairs and characteristic decomposition and illustrate the proposed algorithm and its performance by examples and experimental results.
Edit intent: fluency
Original:  Low cost and ready-to-connect devices are designed to provide new services and applications for a better people's daily life . Smart grids or smart healthcare systems are some examples of such applicationsall of them in the context of smart cities.
Revised:  Low-cost and ready-to-connect devices are designed to provide new services and applications for a better people's daily life . Smart grids or smart healthcare systems are some examples of such applicationsall of them in the context of smart cities.
Edit intent: fluency
Original:  Low cost and ready-to-connect devices are designed to provide new services and applications for a better people's daily life . Smart grids or smart healthcare systems are some examples of such applicationsall of them in the context of smart cities.
Revised:  Low cost and ready-to-connect devices are designed to provide new services and applications . Smart grids or smart healthcare systems are some examples of such applicationsall of them in the context of smart cities.
Edit intent: clarity
Original:  Low cost and ready-to-connect devices are designed to provide new services and applications for a better people's daily life . Smart grids or smart healthcare systems are some examples of such applicationsall of them in the context of smart cities.
Revised:  Low cost and ready-to-connect devices are designed to provide new services and applications for a better people's daily life . Smart grids or smart healthcare systems are some examples of these applications, all of which are in the context of smart cities.
Edit intent: clarity
Original:  In this all-connectivity scenario, some security issues arise since the larger is the number of connected devices the bigger isthe surface attack dimension.
Revised:  In this total-connectivity scenario, some security issues arise since the larger is the number of connected devices the bigger isthe surface attack dimension.
Edit intent: clarity
Original:  In this all-connectivity scenario, some security issues arise since the larger is the number of connected devices the bigger isthe surface attack dimension.
Revised:  In this all-connectivity scenario, some security issues arise since the larger the number of connected devices the bigger isthe surface attack dimension.
Edit intent: fluency
Original:  In this all-connectivity scenario, some security issues arise since the larger is the number of connected devices the bigger isthe surface attack dimension.
Revised:  In this all-connectivity scenario, some security issues arise since the larger is the number of connected devices is, the greater the surface attack dimension.
Edit intent: clarity
Original:  This way, new solutions to monitor and detect security events are needed addressing new challenges coming from this scenariothat are , among others, the  number of devices to monitor, the huge amount of data to manage and the real time requirement to provide a quick security event detection and, consequently, quick attack reaction .
Revised:  In this way, new solutions to monitor and detect security events are needed addressing new challenges coming from this scenariothat are , among others, the number of devices to monitor, the huge amount of data to manage and the real time requirement to provide a quick security event detection and, consequently, quick attack reaction .
Edit intent: coherence
Original:  This way, new solutions to monitor and detect security events are needed addressing new challenges coming from this scenariothat are , among others, the  number of devices to monitor, the huge amount of data to manage and the real time requirement to provide a quick security event detection and, consequently, quick attack reaction .
Revised:  This way, new solutions for monitoring and detecting security events are needed addressing new challenges coming from this scenariothat are , among others, the number of devices to monitor, the huge amount of data to manage and the real time requirement to provide a quick security event detection and, consequently, quick attack reaction .
Edit intent: fluency
Original:  This way, new solutions to monitor and detect security events are needed addressing new challenges coming from this scenariothat are , among others, the  number of devices to monitor, the huge amount of data to manage and the real time requirement to provide a quick security event detection and, consequently, quick attack reaction .
Revised:  This way, new solutions to monitor and detect security events are needed to address new challenges brought about by this scenario , among others, the number of devices to monitor, the huge amount of data to manage and the real time requirement to provide a quick security event detection and, consequently, quick attack reaction .
Edit intent: clarity
Original:  This way, new solutions to monitor and detect security events are needed addressing new challenges coming from this scenariothat are , among others, the  number of devices to monitor, the huge amount of data to manage and the real time requirement to provide a quick security event detection and, consequently, quick attack reaction .
Revised:  This way, new solutions to monitor and detect security events are needed addressing new challenges coming from this scenariothat are , among others, the large number of devices to monitor, the huge amount of data to manage and the real time requirement to provide a quick security event detection and, consequently, quick attack reaction .
Edit intent: clarity
Original:  This way, new solutions to monitor and detect security events are needed addressing new challenges coming from this scenariothat are , among others, the  number of devices to monitor, the huge amount of data to manage and the real time requirement to provide a quick security event detection and, consequently, quick attack reaction .
Revised:  This way, new solutions to monitor and detect security events are needed addressing new challenges coming from this scenariothat are , among others, the number of devices to monitor, the large amount of data to manage and the real time requirement to provide a quick security event detection and, consequently, quick attack reaction .
Edit intent: fluency
Original:  This way, new solutions to monitor and detect security events are needed addressing new challenges coming from this scenariothat are , among others, the  number of devices to monitor, the huge amount of data to manage and the real time requirement to provide a quick security event detection and, consequently, quick attack reaction .
Revised:  This way, new solutions to monitor and detect security events are needed addressing new challenges coming from this scenariothat are , among others, the number of devices to monitor, the huge amount of data to manage and the real-time requirement to provide a quick security event detection and, consequently, quick attack reaction .
Edit intent: fluency
Original:  This way, new solutions to monitor and detect security events are needed addressing new challenges coming from this scenariothat are , among others, the  number of devices to monitor, the huge amount of data to manage and the real time requirement to provide a quick security event detection and, consequently, quick attack reaction .
Revised:  This way, new solutions to monitor and detect security events are needed addressing new challenges coming from this scenariothat are , among others, the number of devices to monitor, the huge amount of data to manage and the real time requirement to provide quick security event detection and, consequently, quick attack reaction .
Edit intent: fluency
Original:  This way, new solutions to monitor and detect security events are needed addressing new challenges coming from this scenariothat are , among others, the  number of devices to monitor, the huge amount of data to manage and the real time requirement to provide a quick security event detection and, consequently, quick attack reaction .
Revised:  This way, new solutions to monitor and detect security events are needed addressing new challenges coming from this scenariothat are , among others, the number of devices to monitor, the huge amount of data to manage and the real time requirement to provide a quick security event detection and, consequently, quick response to attacks .
Edit intent: clarity
Original:  In this work, the MSNM-Sensor is introduced, a practical and ready-to-use tool to monitor and detect security events able to manage this kind of environments .
Revised:  In this work, a practical and ready-to-use tool to monitor and detect security events able to manage this kind of environments .
Edit intent: coherence
Original:  Although it is in its early development stages, experimental results based on the detection of well known attacks in hierarchical network systems proof its suitability to be applied in more complex scenarios like the ones found in smart cities or IoT ecosystems.
Revised:  Although it is in its early development stages, experimental results based on the detection of well-known attacks in hierarchical network systems proof its suitability to be applied in more complex scenarios like the ones found in smart cities or IoT ecosystems.
Edit intent: fluency
Original:  Although it is in its early development stages, experimental results based on the detection of well known attacks in hierarchical network systems proof its suitability to be applied in more complex scenarios like the ones found in smart cities or IoT ecosystems.
Revised:  Although it is in its early development stages, experimental results based on the detection of well known attacks in hierarchical network systems prove the suitability of this tool for more complex scenarios like the ones found in smart cities or IoT ecosystems.
Edit intent: clarity
Original:  Although it is in its early development stages, experimental results based on the detection of well known attacks in hierarchical network systems proof its suitability to be applied in more complex scenarios like the ones found in smart cities or IoT ecosystems.
Revised:  Although it is in its early development stages, experimental results based on the detection of well known attacks in hierarchical network systems proof its suitability to be applied in more complex scenarios , such as those found in smart cities or IoT ecosystems.
Edit intent: clarity
Original:  Existing models, however, are learned from minimally-clothed humans and thus do not capture the complexity of dressed humans in common images and videos.
Revised:  Existing models, however, are learned from minimally-clothed humans and thus do not generalize to the complexity of dressed humans in common images and videos.
Edit intent: clarity
Original:  Existing models, however, are learned from minimally-clothed humans and thus do not capture the complexity of dressed humans in common images and videos.
Revised:  Existing models, however, are learned from minimally-clothed humans and thus do not capture the complexity of dressed people in common images and videos.
Edit intent: fluency
Original:   To address this, we learn a generative 3D mesh model of clothing from 3D scans of people with varying pose . Going beyond previous work, our generative model is conditioned on different clothing types , giving the ability to  dress different body shapes in a variety of clothing.
Revised:  To address this, we learn a generative 3D mesh model of clothed people from 3D scans of people with varying pose . Going beyond previous work, our generative model is conditioned on different clothing types , giving the ability to dress different body shapes in a variety of clothing.
Edit intent: clarity
Original:   To address this, we learn a generative 3D mesh model of clothing from 3D scans of people with varying pose . Going beyond previous work, our generative model is conditioned on different clothing types , giving the ability to  dress different body shapes in a variety of clothing.
Revised:  To address this, we learn a generative 3D mesh model of clothing from 3D scans with varying pose . Going beyond previous work, our generative model is conditioned on different clothing types , giving the ability to dress different body shapes in a variety of clothing.
Edit intent: clarity
Original:   To address this, we learn a generative 3D mesh model of clothing from 3D scans of people with varying pose . Going beyond previous work, our generative model is conditioned on different clothing types , giving the ability to  dress different body shapes in a variety of clothing.
Revised:  To address this, we learn a generative 3D mesh model of clothing from 3D scans of people with varying pose . Going beyond previous work, our generative model is conditioned on both pose and clothing type , giving the ability to dress different body shapes in a variety of clothing.
Edit intent: clarity
Original:   To address this, we learn a generative 3D mesh model of clothing from 3D scans of people with varying pose . Going beyond previous work, our generative model is conditioned on different clothing types , giving the ability to  dress different body shapes in a variety of clothing.
Revised:  To address this, we learn a generative 3D mesh model of clothing from 3D scans of people with varying pose . Going beyond previous work, our generative model is conditioned on different clothing types , giving the ability to draw samples of clothing to dress different body shapes in a variety of clothing.
Edit intent: clarity
Original:  This generative clothing modelenables us to sample various types of clothing, in novel poses, on top of SMPL. With a focus on clothing geometry, the model captures both global shape and  local structure, effectively extending the SMPL model to add clothing.
Revised:  This generative clothing modelenables us to sample various types of clothing, in novel poses, on top of SMPL. With a focus on clothing geometry, the model captures both global shape and fine local structure, effectively extending the SMPL model to add clothing.
Edit intent: fluency
Original:  Additionally, current models lack the expressive power needed to represent the complex non-linear geometry of pose-dependent clothing shape .
Revised:  Additionally, current models lack the expressive power needed to represent the complex non-linear geometry of pose-dependent clothing shapes .
Edit intent: fluency
Original:  Specifically, we train a conditional Mesh-VAE-GAN to learn the clothing deformation from the SMPL body model, making clothing an additional term on SMPL. Our model is conditioned on both pose and clothing type, giving the ability to draw samples of clothing to dress different body shapes in a variety of styles and poses.
Revised:  Specifically, we train a conditional Mesh-VAE-GAN to learn the clothing deformation from the SMPL body model, making clothing an additional term in SMPL. Our model is conditioned on both pose and clothing type, giving the ability to draw samples of clothing to dress different body shapes in a variety of styles and poses.
Edit intent: clarity
Original:  In this paper, we develop fast algorithms (FaVeST) for vector spherical harmonic transforms for these evaluations.
Revised:  In this paper, we develop fast algorithms (FaVeST) for vector spherical harmonic transforms on these evaluations.
Edit intent: clarity
Original:  The forward FaVeST which evaluates the Fourier coefficients has computational steps proportional to N\log N for N number of evaluation points.
Revised:  The forward FaVeST evaluates the Fourier coefficients has computational steps proportional to N\log N for N number of evaluation points.
Edit intent: clarity