wanyu/IteraTeR_v2 huggingface dataset:
Original:  To face this dispute in a way that is explainable also to a layman, we develop a very simple model, which evaluates the RF pollution at selected distances between the user and the 5G BS locations , e. g., at an average distance or at a fixed one.
Revised:  To face this dispute in a way that is explainable also to a layman, we develop a very simple model, which evaluates the RF pollution at selected distances between the user and the 5G BS locations .
Edit intent: coherence
Original:  Our results show that a dense 5G deployment is in general beneficial to the users living in proximity to the 5G BSs, with an abrupt decrease of RF pollution (up to three orders of magnitude) compared to a sparse deployment.
Revised:  Results show that a dense 5G deployment is in general beneficial to the users living in proximity to the 5G BSs, with an abrupt decrease of RF pollution (up to three orders of magnitude) compared to a sparse deployment.
Edit intent: clarity
Original:  Our results show that a dense 5G deployment is in general beneficial to the users living in proximity to the 5G BSs, with an abrupt decrease of RF pollution (up to three orders of magnitude) compared to a sparse deployment.
Revised:  Our results show that a dense 5G deployment is beneficial to the users living in proximity to the 5G BSs, with an abrupt decrease of RF pollution (up to three orders of magnitude) compared to a sparse deployment.
Edit intent: clarity
Original:  However, we also show that, when a minimum sensitivity threshold is increased, the RF pollution from 5G BSs may be (lightly) increased .
Revised:  We also analyze scenarios where a minimum sensitivity threshold is increased, the RF pollution from 5G BSs may be (lightly) increased .
Edit intent: clarity
Original:  However, we also show that, when a minimum sensitivity threshold is increased, the RF pollution from 5G BSs may be (lightly) increased .
Revised:  However, we also show that, when a minimum sensitivity threshold is increased, showing that in such cases a (light) increase of RF pollution may be experienced .
Edit intent: clarity
Original: A common concern among the population is that installing new 5G Base Stations (BSs) over a given portion of territory results into an uncontrollable increase of Radio-Frequency (RF)pollution .
Revised: A common concern among the population is that installing new 5G Base Stations (BSs) over a given geographic region may result in an uncontrollable increase of Radio-Frequency (RF)pollution .
Edit intent: clarity
Original: A common concern among the population is that installing new 5G Base Stations (BSs) over a given portion of territory results into an uncontrollable increase of Radio-Frequency (RF)pollution .
Revised: A common concern among the population is that installing new 5G Base Stations (BSs) over a given portion of territory results into an uncontrollable increase of Radio-Frequency "Pollution" (RFP) .
Edit intent: clarity
Original:  To face this dispute in a way that is explainable also to a layman, we develop a very simple model, which evaluates the RF pollution at selected distances between the user and the 5G BS locations.
Revised:  To face this dispute in a way that can be understood by the layman, we develop a very simple model, which evaluates the RF pollution at selected distances between the user and the 5G BS locations.
Edit intent: clarity
Original:  To face this dispute in a way that is explainable also to a layman, we develop a very simple model, which evaluates the RF pollution at selected distances between the user and the 5G BS locations.
Revised:  To face this dispute in a way that is explainable also to a layman, we develop a very simple model, which evaluates the RFP at selected distances between the user and the 5G BS locations.
Edit intent: clarity
Original:  We then obtain closed-form expressions to quantify the RF pollution increase/decrease when comparing a pair of  5G deployments.
Revised:  We then obtain closed-form expressions to quantify the RFP increase/decrease when comparing a pair of 5G deployments.
Edit intent: clarity
Original:  We then obtain closed-form expressions to quantify the RF pollution increase/decrease when comparing a pair of  5G deployments.
Revised:  We then obtain closed-form expressions to quantify the RF pollution increase/decrease when comparing a pair of alternative 5G deployments.
Edit intent: clarity
Original:  Results show that a dense 5G deployment is beneficial to the users living in proximity to the 5G BSs, with an abrupt decrease of RF pollution (up to three orders of magnitude) compared to a sparse deployment.
Revised:  Results show that a dense 5G deployment is beneficial to the users living in proximity to the 5G BSs, with an abrupt decrease of RFP (up to three orders of magnitude) compared to a sparse deployment.
Edit intent: clarity
Original:  We also analyze scenarios where a minimum sensitivity threshold is increased, showing that in such cases a ( light ) increase of RF pollution may be experienced.
Revised:  We also analyze scenarios where a minimum sensitivity threshold is increased, showing that in such cases a ( light ) increase of RFP may be experienced.
Edit intent: clarity
Original: Through the recent results that we present , we wish to highlight the various time-scales on which the demographic dynamics and the natural selection can be retrieved from individual-based models.
Revised: Through the recent results that we present , we wish to relate the time-scales on which the demographic dynamics and the natural selection can be retrieved from individual-based models.
Edit intent: clarity
Original: Through the recent results that we present , we wish to highlight the various time-scales on which the demographic dynamics and the natural selection can be retrieved from individual-based models.
Revised: Through the recent results that we present , we wish to highlight the various time-scales typical of demographic dynamics and the natural selection can be retrieved from individual-based models.
Edit intent: clarity
Original: Through the recent results that we present , we wish to highlight the various time-scales on which the demographic dynamics and the natural selection can be retrieved from individual-based models.
Revised: Through the recent results that we present , we wish to highlight the various time-scales on which the demographic dynamics and natural selection to the parameters of the individual-based models.
Edit intent: clarity
Original:  Although these results are by no means exhaustive, both on the mathematical and the biological level, they are very complementary .
Revised:  Although these results are by no means exhaustive, both on the mathematical and the biological level, they complement each other .
Edit intent: clarity
Original:  Indeed, they provide a viewpoint for the most classical time-scales of interest.
Revised:  Indeed, they provide a viewpoint for many classical time-scales of interest.
Edit intent: clarity
Original:  They namely encompass the time-scale of the life of a single individual, the longer one on which a population can be characterized , the ecological one and at least four nested ones on which selection occurs.
Revised:  They namely encompass the time-scale of the life of a single individual, the longer one wherein a population can be characterized , the ecological one and at least four nested ones on which selection occurs.
Edit intent: clarity
Original:  They namely encompass the time-scale of the life of a single individual, the longer one on which a population can be characterized , the ecological one and at least four nested ones on which selection occurs.
Revised:  They namely encompass the time-scale of the life of a single individual, the longer one on which a population can be characterized , the ecological one and at least four interconnected ones wherein selection occurs.
Edit intent: clarity
Original:  Yet, since the selection acts on the alea in the history of individuals, the probabilities are shown to be a key element of understanding .
Revised:  Yet, since there are selective effects on randomness in the history of individuals, the probabilities are shown to be a key element of understanding .
Edit intent: clarity
Original:  Yet, since the selection acts on the alea in the history of individuals, the probabilities are shown to be a key element of understanding .
Revised:  Yet, since the selection acts on the alea in the history of lineages, probability theory is shown to be a key element of understanding .
Edit intent: clarity
Original:  Yet, since the selection acts on the alea in the history of individuals, the probabilities are shown to be a key element of understanding .
Revised:  Yet, since the selection acts on the alea in the history of individuals, the probabilities are shown to be a key factor in understanding the results .
Edit intent: clarity
Original:  Besides, the scarcity of mutations fixing in the poplation also induces some stochasticity .
Revised:  Besides, the scarcity of mutations fixing in the population .
Edit intent: clarity
Original:   Finally, we disprove a conjecture of Goldrup and Phillipson, and then present an example of a code that is neither open convex nor closed convex.
Revised:  Finally, we disprove a conjecture of Goldrup and Phillipson, and also present an example of a code that is neither open convex nor closed convex.
Edit intent: clarity
Original: Procedural material models have been graining traction in many applications thanks to their flexibility, compactness, and easy editability.
Revised: Procedural material models have been gaining traction in many applications thanks to their flexibility, compactness, and easy editability.
Edit intent: fluency
Original:  In this paper, we explore the inverse rendering problem of procedural material parameter estimation from photographs using a Bayesian framework.
Revised:  We explore the inverse rendering problem of procedural material parameter estimation from photographs using a Bayesian framework.
Edit intent: coherence
Original:  We use\emph{summary functions for comparing unregistered images of a material under known lighting, and we explore both hand-designed and neural summary functions.
Revised:  \emph{summary functions for comparing unregistered images of a material under known lighting, and we explore both hand-designed and neural summary functions.
Edit intent: coherence
Original:  We use\emph{summary functions for comparing unregistered images of a material under known lighting, and we explore both hand-designed and neural summary functions.
Revised:  We use\emph{ for comparing unregistered images of a material under known lighting, and we explore both hand-designed and neural summary functions.
Edit intent: fluency
Original:  We use\emph{summary functions for comparing unregistered images of a material under known lighting, and we explore both hand-designed and neural summary functions.
Revised:  We use\emph{summary functions 
Edit intent: coherence
Original:  To demonstrate the effectiveness of our techniques , we fit procedural models of a range of materials---wall plaster, leather, wood, anisotropic brushed metals and  metallic paints---to both synthetic and real target images.
Revised:  To demonstrate the effectiveness of our framework , we fit procedural models of a range of materials---wall plaster, leather, wood, anisotropic brushed metals and metallic paints---to both synthetic and real target images.
Edit intent: clarity
Original:  The underlying problem of learning word ratings from higher-level supervision has to date only been addressed in an ad hoc fashion and is missing deep learning methods.
Revised:  The underlying problem of learning word ratings from higher-level supervision has to date only been addressed in an ad hoc fashion and has not used deep learning methods.
Edit intent: clarity
Original:  Our findings show a potential of help on further investigation of depression , by bringing students at-risk to light, to guide them to access adequate treatment .
Revised:  Our findings show the potential of large-scale depression screening, which could shed light upon students at-risk to light, to guide them to access adequate treatment .
Edit intent: clarity
Original:  Our findings show a potential of help on further investigation of depression , by bringing students at-risk to light, to guide them to access adequate treatment .
Revised:  Our findings show a potential of help on further investigation of depression , by bringing students at-risk .
Edit intent: clarity
Original:   To make the computation feasible , the model is scaled in length, using artificial material parameters with the goal of preserving certain quantities of interest.
Revised:  As a full vectorial finite element simulation, this model distinguishes itself from other fiber amplifier models that are typically posed as an initial value problem and make significantly more approximations. Our model supports co-, counter-, and bi-directional pumping configurations, as well as inhomogeneous and anisotropic material properties. The longer-term goal of this modeling effort is to study nonlinear phenomena that prohibit achieving unprecedented power levels in fiber amplifiers, along with validating typical approximations used in lower-fidelity models. The high-fidelity simulation comes at the cost of a high-order finite element discretization with many degrees of freedom per wavelength. This is necessary to counter the effect of numerical pollution due to the high-frequency nature of the wave simulation. To make the computation feasible , the model is scaled in length, using artificial material parameters with the goal of preserving certain quantities of interest.
Edit intent: coherence
Original:   To make the computation feasible , the model is scaled in length, using artificial material parameters with the goal of preserving certain quantities of interest.
Revised:  To make the computation feasible , using artificial material parameters with the goal of preserving certain quantities of interest.
Edit intent: clarity
Original:  Our numerical studies show the applicability of the scaled model in the simulation of an ytterbium-doped, step-index fiber amplifier that experiences laser amplification and heating  .
Revised:  Our numerical tests demonstrate the applicability and utility of this scaled model in the simulation of an ytterbium-doped, step-index fiber amplifier that experiences laser amplification and heating .
Edit intent: clarity
Original: In this work, we present WaveFlow, a small-footprint generative flow for raw audio, which is  trained with maximum likelihood without probability density distillation and auxiliary losses as used in Parallel WaveNet and ClariNet.
Revised: In this work, we propose WaveFlow, a small-footprint generative flow for raw audio, which is trained with maximum likelihood without probability density distillation and auxiliary losses as used in Parallel WaveNet and ClariNet.
Edit intent: clarity
Original:  We demonstrate that WaveFlow can synthesize high-fidelity speech as WaveNet, while only requiring a few sequential steps to generate very long waveforms with hundreds of thousands of time-steps.
Revised:  We demonstrate that WaveFlow can synthesize high-fidelity speech as WaveNet, while only requiring a few sequential steps to generate waveforms with hundreds of thousands of time-steps.
Edit intent: clarity
Original:  Furthermore, WaveFlow closes the significant likelihood gap that has existed between autoregressive models and flow-based models for efficient synthesis.
Revised:  Furthermore, it can close the significant likelihood gap that has existed between autoregressive models and flow-based models for efficient synthesis.
Edit intent: coherence
Original:  Finally, our small-footprint WaveFlow has 5.91M parameters and can generate 22.05 kHz high-fidelity speech 42.6 times faster than real-time on a  GPU without engineered inference kernels.
Revised:  Finally, our small-footprint WaveFlow has 5.91M parameters and can generate 22.05 kHz high-fidelity speech 42.6 \times faster than real-time on a GPU without engineered inference kernels.
Edit intent: fluency
Original:  WaveFlow handles the long-range structure of waveform with a dilated 2-D convolutional architecture, while modeling the local variations using compact autoregressive functions.
Revised:  It handles the long-range structure of waveform with a dilated 2-D convolutional architecture, while modeling the local variations using compact autoregressive functions.
Edit intent: clarity
Original:  It provides a unified view of likelihood-based models for raw audio, including WaveNet and WaveGlow as special cases.
Revised:  WaveFlow provides a unified view of likelihood-based models for raw audio, including WaveNet and WaveGlow as special cases.
Edit intent: clarity
Original:  WaveFlow can generate high-fidelity speech as WaveNet, while synthesizing several orders of magnitude faster as it only requires a few sequential steps to generate waveforms with hundreds of thousands of time-steps .
Revised:  It generates high-fidelity speech as WaveNet, while synthesizing several orders of magnitude faster as it only requires a few sequential steps to generate waveforms with hundreds of thousands of time-steps .
Edit intent: clarity
Original:  WaveFlow can generate high-fidelity speech as WaveNet, while synthesizing several orders of magnitude faster as it only requires a few sequential steps to generate waveforms with hundreds of thousands of time-steps .
Revised:  WaveFlow can generate high-fidelity speech as WaveNet, while synthesizing several orders of magnitude faster as it only requires a few sequential steps to generate very long waveforms .
Edit intent: clarity
Original:  Furthermore, it can close the significant likelihood gap that has existed between autoregressive models and flow-based models for efficient synthesis.
Revised:  Furthermore, it can significantly reduce the likelihood gap that has existed between autoregressive models and flow-based models for efficient synthesis.
Edit intent: clarity
Original:  Finally, our small-footprint WaveFlow has  15\times fewer parameters than WaveGlowand can generate 22.05 kHz high-fidelity audio 42.6\times faster than real-time on a V100 GPU without engineered inference kernels.
Revised:  Finally, our small-footprint WaveFlow has 15\times smaller than WaveGlow. It can generate 22.05 kHz high-fidelity audio 42.6\times faster than real-time on a V100 GPU without engineered inference kernels.
Edit intent: clarity
Original:  We show that the agreement is the most difficult to achieve within the model with local conformity and global anticonformity .
Revised:  We show that within the model with local conformity and global anticonformity .
Edit intent: clarity
Original: In this paper  we study a time-inconsistent consumption-investment problem with random endowments in a possibly incomplete market under general discount functions.
Revised: In this paper , we study a time-inconsistent consumption-investment problem with random endowments in a possibly incomplete market under general discount functions.
Edit intent: fluency
Original: LoRaWAN is a Low Power Wide Area Network technology featuring long transmission range and a simple MAC layer that have favored its adoption and usage in large-scale deployments .
Revised: LoRaWAN is a Low Power Wide Area Network technology featuring long transmission ranges and a simple MAC layer that have favored its adoption and usage in large-scale deployments .
Edit intent: fluency
Original: LoRaWAN is a Low Power Wide Area Network technology featuring long transmission range and a simple MAC layer that have favored its adoption and usage in large-scale deployments .
Revised: LoRaWAN is a Low Power Wide Area Network technology featuring long transmission range and a simple MAC layer .
Edit intent: coherence
Original:  To contribute filling this gap, in this paper we provide a mathematical model to estimate the performance of a LoRaWAN gateway serving a set of devices that may  employ confirmed traffic.
Revised:  To contribute filling this gap, in this paper we provide a mathematical model to estimate the performance of a LoRaWAN gateway serving a set of devices that may or may not employ confirmed traffic.
Edit intent: clarity
Original:  The model also features a set of parameters that can be adjusted to investigate different behaviors of the gateway , making it possible to carry out a systematic analysis of various trade-offs.
Revised:  The model features a set of parameters that can be adjusted to investigate different behaviors of the gateway , making it possible to carry out a systematic analysis of various trade-offs.
Edit intent: clarity
Original:  The model also features a set of parameters that can be adjusted to investigate different behaviors of the gateway , making it possible to carry out a systematic analysis of various trade-offs.
Revised:  The model also features a set of parameters that can be adjusted to investigate different gateway and end devices configurations , making it possible to carry out a systematic analysis of various trade-offs.
Edit intent: clarity
Original:  The accuracy of the proposed model is validated against ns-3 LoRaWAN simulations .
Revised:  Results given by the proposed model is validated against ns-3 LoRaWAN simulations .
Edit intent: clarity
Original:  The accuracy of the proposed model is validated against ns-3 LoRaWAN simulations .
Revised:  The accuracy of the proposed model are validated through realistic ns-3 LoRaWAN simulations .
Edit intent: clarity
Original:  While LoRaWAN's main use case consists in unconfirmed sensor data collection, the standard also considers confirmed traffic, enabling control applications and reliable services .
Revised:  While LoRaWAN's main use case consists in unconfirmed sensor data collection, control applications and reliable services .
Edit intent: clarity
Original:  The model features a set of parameters that can be adjusted to investigate different gateway and end devices configurations, making it possible to carry out a systematic analysis of various trade-offs.
Revised:  The model features a set of parameters that can be adjusted to investigate different gateway and end-device configurations, making it possible to carry out a systematic analysis of various trade-offs.
Edit intent: fluency
Original:  Results given by the proposed model are validated through realistic ns-3 simulations that confirm the correctness of the analysis , and assess the impact of the assumptions made by the model for tractability reasons .
Revised:  The results given by the proposed model are validated through realistic ns-3 simulations that confirm the correctness of the analysis , and assess the impact of the assumptions made by the model for tractability reasons .
Edit intent: style
Original:  Results given by the proposed model are validated through realistic ns-3 simulations that confirm the correctness of the analysis , and assess the impact of the assumptions made by the model for tractability reasons .
Revised:  Results given by the proposed model are validated through realistic ns-3 simulations that confirm the correctness of the analysis , and assess the impact of the assumptions made in the model for tractability reasons .
Edit intent: clarity
Original:  Results given by the proposed model are validated through realistic ns-3 simulations that confirm the correctness of the analysis , and assess the impact of the assumptions made by the model for tractability reasons .
Revised:  Results given by the proposed model are validated through realistic ns-3 simulations that confirm the correctness of the analysis , and assess the impact of the assumptions made by the model for tractability .
Edit intent: clarity
Original: We propose a method due to Nitsche (Deep Nitsche Method) from 1970s to deal with the essential boundary conditions encountered in the deep learning-based numerical method without significant extra computational costs.
Revised: We propose a new method to deal with the essential boundary conditions encountered in the deep learning-based numerical method without significant extra computational costs.
Edit intent: clarity