wanyu/IteraTeR_v2 huggingface dataset:
Original:  The presented guide tells us that this technology has a real potentiality to play a key role in generating an extraordinary amount of data , so that complementary paradigms of Edge Computing and Artificial intelligence should be tightly integrated to extract profiles and identify anomalous events , in compliance with privacy and security.
Revised:  The presented guide tells us that this technology has a real potentiality to play a key role in generating an extraordinary amount of data , so that complementary paradigms of Edge Computing and Artificial intelligence should be tightly integrated to extract profiles and identify anomalous events in compliance with privacy and security.
Edit intent: fluency
Original:  We treat a human body surface as a point in a "shape space" equipped with a family of Riemmanian metrics.
Revised:  We treat a human body surface as a point in a "shape space" equipped with a family of Riemannian metrics.
Edit intent: fluency
Original:  First, we define  family of metrics with desired invariant properties for the comparison of human shape.
Revised:  First, we define a family of metrics with desired invariant properties for the comparison of human shape.
Edit intent: fluency
Original:  First, we define  family of metrics with desired invariant properties for the comparison of human shape.
Revised:  First, we define family of metrics with desired invariance properties for the comparison of human shape.
Edit intent: fluency
Original:  Although recent research suggests that surface transmission has a minimal impact in the spread of Covid-19, surfaces do playa significant role in the transmission of  many other viruses  . Employing UAVs for mass spray disinfection offers several potential advantages including high throughput application of disinfectant, large scale deployment, and the minimization of health risks to sanitation workers.
Revised:  Although recent research suggests that surface transmission has a minimal impact in the spread of Covid-19, surfaces and fomites can play, and have played, critical roles in the transmission of many other viruses . Employing UAVs for mass spray disinfection offers several potential advantages including high throughput application of disinfectant, large scale deployment, and the minimization of health risks to sanitation workers.
Edit intent: clarity
Original:  Although recent research suggests that surface transmission has a minimal impact in the spread of Covid-19, surfaces do playa significant role in the transmission of  many other viruses  . Employing UAVs for mass spray disinfection offers several potential advantages including high throughput application of disinfectant, large scale deployment, and the minimization of health risks to sanitation workers.
Revised:  Although recent research suggests that surface transmission has a minimal impact in the spread of Covid-19, surfaces do playa significant role in the transmission of Covid-19 and many other viruses . Employing UAVs for mass spray disinfection offers several potential advantages including high throughput application of disinfectant, large scale deployment, and the minimization of health risks to sanitation workers.
Edit intent: clarity
Original:  Although recent research suggests that surface transmission has a minimal impact in the spread of Covid-19, surfaces do playa significant role in the transmission of  many other viruses  . Employing UAVs for mass spray disinfection offers several potential advantages including high throughput application of disinfectant, large scale deployment, and the minimization of health risks to sanitation workers.
Revised:  Although recent research suggests that surface transmission has a minimal impact in the spread of Covid-19, surfaces do playa significant role in the transmission of many other viruses , especially in settings such as child daycares, schools, offices, and hospitals . Employing UAVs for mass spray disinfection offers several potential advantages including high throughput application of disinfectant, large scale deployment, and the minimization of health risks to sanitation workers.
Edit intent: clarity
Original:  Although recent research suggests that surface transmission has a minimal impact in the spread of Covid-19, surfaces do playa significant role in the transmission of  many other viruses  . Employing UAVs for mass spray disinfection offers several potential advantages including high throughput application of disinfectant, large scale deployment, and the minimization of health risks to sanitation workers.
Revised:  Although recent research suggests that surface transmission has a minimal impact in the spread of Covid-19, surfaces do playa significant role in the transmission of many other viruses . Employing UAVs for mass spray disinfection offers several potential advantages , including high-throughput application of disinfectant, large scale deployment, and the minimization of health risks to sanitation workers.
Edit intent: fluency
Original:  In this work  we present an autonomous UAV capable of effectively disinfecting  surfaces.
Revised:  In this work , we present an autonomous UAV capable of effectively disinfecting surfaces.
Edit intent: fluency
Original:  We identify relevant parameters such as disinfectant concentration, amount, and application distance required of the UAV to sterilize high touch surfaces such as door handles.
Revised:  We identify relevant parameters such as disinfectant concentration, amount, and application distance required of the UAV to disinfect high-touch surfaces such as door handles.
Edit intent: clarity
Original:  Finally, we develop a robotic system that enables the fully autonomous disinfection of door handles in an unstructured , previously unknown environment.
Revised:  Finally, we develop a robotic system that enables the fully autonomous disinfection of door handles in an unstructured and previously unknown environment.
Edit intent: fluency
Original:  To our knowledge, this is the smallest untethered UAV ever built with both full autonomy and spraying capabilities, allowing it to operate in confined indoor settings, and the first autonomous UAV to specifically target high touch surfaces on an individual basis with spray disinfectant, resulting in more efficient use of disinfectant .
Revised:  To our knowledge, this is the smallest untethered UAV ever built with both full autonomy and spraying capabilities, allowing it to operate in confined indoor settings, and the first autonomous UAV to specifically target high-touch surfaces on an individual basis with spray disinfectant, resulting in more efficient use of disinfectant .
Edit intent: fluency
Original:  To our knowledge, this is the smallest untethered UAV ever built with both full autonomy and spraying capabilities, allowing it to operate in confined indoor settings, and the first autonomous UAV to specifically target high touch surfaces on an individual basis with spray disinfectant, resulting in more efficient use of disinfectant .
Revised:  To our knowledge, this is the smallest untethered UAV ever built with both full autonomy and spraying capabilities, allowing it to operate in confined indoor settings, and the first autonomous UAV to specifically target high touch surfaces on an individual basis with spray disinfectant, resulting in more efficient use of disinfectant 
Edit intent: fluency
Original:  Building off of the theory of functional linear regression (FLR), we estimate the best-fit Green's function and bias term of the fundamental solution in a reproducing kernel Hilbert space (RKHS) which allows us to regularize their smoothness and impose various structural constraints.
Revised:  Building off the theory of functional linear regression (FLR), we estimate the best-fit Green's function and bias term of the fundamental solution in a reproducing kernel Hilbert space (RKHS) which allows us to regularize their smoothness and impose various structural constraints.
Edit intent: fluency
Original:  We derive a general representer theorem for operator RKHSs which lets us approximate the original infinite-dimensional regression problem by a finite-dimensional one, reducing the search space to a parametric class of Green's functions.
Revised:  We use a general representer theorem for operator RKHSs which lets us approximate the original infinite-dimensional regression problem by a finite-dimensional one, reducing the search space to a parametric class of Green's functions.
Edit intent: clarity
Original:  We derive a general representer theorem for operator RKHSs which lets us approximate the original infinite-dimensional regression problem by a finite-dimensional one, reducing the search space to a parametric class of Green's functions.
Revised:  We derive a general representer theorem for operator RKHSs to approximate the original infinite-dimensional regression problem by a finite-dimensional one, reducing the search space to a parametric class of Green's functions.
Edit intent: coherence
Original:  Finally, we demonstrate applications of our method to several linear PDEs including the Poisson, Helmholtz, Schr\"odinger , Fokker-Planck, and heat equation and highlight its ability to extrapolate to more finely sampled meshes without any additional training.
Revised:  Finally, we demonstrate applications of our method to several linear PDEs including the Poisson, Helmholtz, Schr\"{o , Fokker-Planck, and heat equation and highlight its ability to extrapolate to more finely sampled meshes without any additional training.
Edit intent: fluency
Original:  Going a step further, we design and present disparate accent-aware modules to perform accent-aware modulation of acoustic features in a fine-grained manner, so as to enhance the discriminating capability of the resulting MDD model.
Revised:  Going a step further, we design and present disparate accent-aware modules to perform accent-aware modulation of acoustic features in a finer-grained manner, so as to enhance the discriminating capability of the resulting MDD model.
Edit intent: fluency
Original: Unihedge is a decentralized platform for prediction markets with a novel approach to prediction market .
Revised: Unihedge is a decentralized platform for prediction markets with a novel approach .
Edit intent: fluency
Original:  Using Harberger Tax (HTAX) economic policies a new type of prediction market was build named HTAX prediction market  . HTAX prediction market derivates from Dynamic PariMutuel (DPM) type of prediction markets thus offering its users an unlimited liquidity for any preferred time horizon.
Revised:  Using Harberger Tax (HTAX) economic policies a new type of prediction market , named HTAX prediction market . HTAX prediction market derivates from Dynamic PariMutuel (DPM) type of prediction markets thus offering its users an unlimited liquidity for any preferred time horizon.
Edit intent: coherence
Original:  Platform also offers users other traits such as  opportunity to create and operate prediction markets which is compensated by collecting trading fees from its user , or ability to earn fees from every trade by participate in staking process, or get involved with Decentralised Autonomous Organisation (DAO) where they can vote on various topics from platform development to allocation of funds.
Revised:  The platform also offers its users other traits such as opportunity to create and operate prediction markets which is compensated by collecting trading fees from its user , or ability to earn fees from every trade by participate in staking process, or get involved with Decentralised Autonomous Organisation (DAO) where they can vote on various topics from platform development to allocation of funds.
Edit intent: clarity
Original:  Platform also offers users other traits such as  opportunity to create and operate prediction markets which is compensated by collecting trading fees from its user , or ability to earn fees from every trade by participate in staking process, or get involved with Decentralised Autonomous Organisation (DAO) where they can vote on various topics from platform development to allocation of funds.
Revised:  Platform also offers users other traits such as the opportunity to create and operate prediction markets which is compensated by collecting trading fees from its user , or ability to earn fees from every trade by participate in staking process, or get involved with Decentralised Autonomous Organisation (DAO) where they can vote on various topics from platform development to allocation of funds.
Edit intent: fluency
Original:  Platform also offers users other traits such as  opportunity to create and operate prediction markets which is compensated by collecting trading fees from its user , or ability to earn fees from every trade by participate in staking process, or get involved with Decentralised Autonomous Organisation (DAO) where they can vote on various topics from platform development to allocation of funds.
Revised:  Platform also offers users other traits such as opportunity to create and operate prediction markets which is compensated by collecting trading fees from its users , or ability to earn fees from every trade by participate in staking process, or get involved with Decentralised Autonomous Organisation (DAO) where they can vote on various topics from platform development to allocation of funds.
Edit intent: fluency
Original:  Platform also offers users other traits such as  opportunity to create and operate prediction markets which is compensated by collecting trading fees from its user , or ability to earn fees from every trade by participate in staking process, or get involved with Decentralised Autonomous Organisation (DAO) where they can vote on various topics from platform development to allocation of funds.
Revised:  Platform also offers users other traits such as opportunity to create and operate prediction markets which is compensated by collecting trading fees from its user , or ability to earn fees from every trade by participating in staking process, or get involved with Decentralised Autonomous Organisation (DAO) where they can vote on various topics from platform development to allocation of funds.
Edit intent: fluency
Original:  Platform also offers users other traits such as  opportunity to create and operate prediction markets which is compensated by collecting trading fees from its user , or ability to earn fees from every trade by participate in staking process, or get involved with Decentralised Autonomous Organisation (DAO) where they can vote on various topics from platform development to allocation of funds.
Revised:  Platform also offers users other traits such as opportunity to create and operate prediction markets which is compensated by collecting trading fees from its user , or ability to earn fees from every trade by participate in staking process, or getting involved with Decentralised Autonomous Organisation (DAO) where they can vote on various topics from platform development to allocation of funds.
Edit intent: fluency
Original:  Much work has focussed on parameter inference of stochastic and ordinary differential equation models using Approximate Bayesian Computation (ABC).
Revised:  Much work has focused on parameter inference of stochastic and ordinary differential equation models using Approximate Bayesian Computation (ABC).
Edit intent: fluency
Original:  Simultaneously, advances in topological data analysis (TDA), a field of computational mathematics, has enabled spatial patterns in data to be characterised.
Revised:  Simultaneously, advances in topological data analysis (TDA), a field of computational mathematics, have enabled spatial patterns in data to be characterised.
Edit intent: fluency
Original:  Here , we focus on recent work using topological data analysis to study different regimes of parameter space of a well-studied model of angiogenesis.
Revised:  Here we focus on recent work using topological data analysis to study different regimes of parameter space of a well-studied model of angiogenesis.
Edit intent: fluency
Original:  Here , we focus on recent work using topological data analysis to study different regimes of parameter space of a well-studied model of angiogenesis.
Revised:  Here , we focus on recent work using topological data analysis to study different regimes of parameter space for a well-studied model of angiogenesis.
Edit intent: clarity
Original:  We propose a method for combining TDA with ABC for inferring parameters in the Anderson-Chaplain model of angiogenesis.
Revised:  We propose a method for combining TDA with ABC to infer parameters in the Anderson-Chaplain model of angiogenesis.
Edit intent: fluency
Original:  This is a first step towards a larger framework of spatial parameter inference for biological systems, for which there may be a variety of filtrations, vectorisations, and summary statistics to be considered  .
Revised:  This is a first step towards a general framework of spatial parameter inference for biological systems, for which there may be a variety of filtrations, vectorisations, and summary statistics to be considered .
Edit intent: clarity
Original:  In this work, we consider the physical parameters of ODEs as factors of variation of the data generating process.
Revised:  In this work, we treat the domain parameters of dynamical systems as factors of variation of the data generating process.
Edit intent: clarity
Original:  By leveraging ideas from supervised disentanglement in VAEs , we aim to separate the ODE parameters from the dynamics in the latent space . Experiments show that supervised disentanglement allows VAEs to capture the variability in the dynamics and extrapolate better to ODE parameter spaces that were not present in the training data  .
Revised:  By leveraging ideas from supervised disentanglement in VAEs , we aim to separate the domain parameters from the dynamics in the latent space . Experiments show that supervised disentanglement allows VAEs to capture the variability in the dynamics and extrapolate better to ODE parameter spaces that were not present in the training data .
Edit intent: clarity
Original: Self-explainable deep models are devised to represent the hidden concepts in the dataset without requiring any posthoc explanation generation technique.
Revised: Self-explaining deep models are devised to represent the hidden concepts in the dataset without requiring any posthoc explanation generation technique.
Edit intent: clarity
Original: Self-explainable deep models are devised to represent the hidden concepts in the dataset without requiring any posthoc explanation generation technique.
Revised: Self-explainable deep models are designed to learn the latent concept-based explanations implicitly during training, which eliminates the requirement of any post-hoc explanation generation technique.
Edit intent: clarity
Original: To date, several automated strategies for identification/segmentation of Multiple Sclerosis (MS) lesions by Magnetic Resonance Imaging (MRI) have been presented which are either outperformed by human experts or , at least, whose results are well distinguishable from humans .
Revised: To date, several automated strategies for identification/segmentation of Multiple Sclerosis (MS) lesions with the use of Magnetic Resonance Imaging (MRI) have been presented which are either outperformed by human experts or , at least, whose results are well distinguishable from humans .
Edit intent: clarity
Original: To date, several automated strategies for identification/segmentation of Multiple Sclerosis (MS) lesions by Magnetic Resonance Imaging (MRI) have been presented which are either outperformed by human experts or , at least, whose results are well distinguishable from humans .
Revised: To date, several automated strategies for identification/segmentation of Multiple Sclerosis (MS) lesions by Magnetic Resonance Imaging (MRI) have been presented but they are either outperformed by human experts or , at least, whose results are well distinguishable from humans .
Edit intent: coherence
Original: To date, several automated strategies for identification/segmentation of Multiple Sclerosis (MS) lesions by Magnetic Resonance Imaging (MRI) have been presented which are either outperformed by human experts or , at least, whose results are well distinguishable from humans .
Revised: To date, several automated strategies for identification/segmentation of Multiple Sclerosis (MS) lesions by Magnetic Resonance Imaging (MRI) have been presented which are either outperformed by human experts or perform differently from them .
Edit intent: clarity
Original:  This is  due to the ambiguity originated by MRI instabilities, peculiar MS Heterogeneity and MRI unspecific nature with respect to MS. Physicians partially treat the uncertainty generated by ambiguity relying on  personal radiological/clinical/anatomical background and experience.
Revised:  This is mainly due to the ambiguity originated by MRI instabilities, peculiar MS Heterogeneity and MRI unspecific nature with respect to MS. Physicians partially treat the uncertainty generated by ambiguity relying on personal radiological/clinical/anatomical background and experience.
Edit intent: coherence
Original:  This is  due to the ambiguity originated by MRI instabilities, peculiar MS Heterogeneity and MRI unspecific nature with respect to MS. Physicians partially treat the uncertainty generated by ambiguity relying on  personal radiological/clinical/anatomical background and experience.
Revised:  This is due to the ambiguity originated by MRI instabilities, peculiar MS Heterogeneity and MRI unspecific nature with respect to MS. Physicians partially manage the uncertainty generated by ambiguity relying on personal radiological/clinical/anatomical background and experience.
Edit intent: clarity
Original:  This is  due to the ambiguity originated by MRI instabilities, peculiar MS Heterogeneity and MRI unspecific nature with respect to MS. Physicians partially treat the uncertainty generated by ambiguity relying on  personal radiological/clinical/anatomical background and experience.
Revised:  This is due to the ambiguity originated by MRI instabilities, peculiar MS Heterogeneity and MRI unspecific nature with respect to MS. Physicians partially treat the uncertainty generated by ambiguity relying on their personal radiological/clinical/anatomical background and experience.
Edit intent: fluency
Original:  We present an automated framework for MS lesions identification/segmentation based on three pivotal concepts to better emulate human reasoning: the modeling of uncertainty;
Revised:  We present an automated framework based on three pivotal concepts to better emulate human reasoning: the modeling of uncertainty;
Edit intent: clarity
Original:  We present an automated framework for MS lesions identification/segmentation based on three pivotal concepts to better emulate human reasoning: the modeling of uncertainty;
Revised:  We present an automated framework for MS lesions identification/segmentation based on three pivotal concepts to better emulate human reasoning: 1. the modelling of uncertainty;
Edit intent: coherence
Original:   the proposal of two, separately trained, CNN, one optimized with respect to lesions themselves and the other to the environment surrounding lesions, respectively repeated for axial, coronal and sagittal directions;
Revised:  2. the proposal of two, separately trained, CNN, one optimized with respect to lesions themselves and the other to the environment surrounding lesions, respectively repeated for axial, coronal and sagittal directions;
Edit intent: coherence
Original:  The proposed framework is trained, validated and tested on the 2016 MSSEG benchmark public data set from a single imaging modality,  FLuid-Attenuated Inversion Recovery (FLAIR).
Revised:  The proposed framework is trained, validated and tested on the 2016 MSSEG benchmark public data set from a single imaging modality, the FLuid-Attenuated Inversion Recovery (FLAIR).
Edit intent: fluency