wanyu/IteraTeR_v2 huggingface dataset:
Original:  By exploiting the waveform superposition property of a multiple-access channel, AirComp turns the air into a computer for computing and communicating functions of distributed data at many devices, thereby dramatically accelerating WDA . In view of growing interests on AirComp, this article provides a timely overview of the technology by discussing basic principles, advanced techniques, applications, answering frequently asked questions , and identifying promising research opportunities.
Revised:  By exploiting the waveform superposition property of a multiple-access channel, AirComp turns the air into a computer for computing and communicating functions of distributed data at many devices, thereby allowing low-latency WDA over massive devices . In view of growing interests on AirComp, this article provides a timely overview of the technology by discussing basic principles, advanced techniques, applications, answering frequently asked questions , and identifying promising research opportunities.
Edit intent: clarity
Original:  By exploiting the waveform superposition property of a multiple-access channel, AirComp turns the air into a computer for computing and communicating functions of distributed data at many devices, thereby dramatically accelerating WDA . In view of growing interests on AirComp, this article provides a timely overview of the technology by discussing basic principles, advanced techniques, applications, answering frequently asked questions , and identifying promising research opportunities.
Revised:  By exploiting the waveform superposition property of a multiple-access channel, AirComp turns the air into a computer for computing and communicating functions of distributed data at many devices, thereby dramatically accelerating WDA . In view of growing interests on AirComp, this article provides a timely overview of the technology by introducing basic principles, advanced techniques, applications, answering frequently asked questions , and identifying promising research opportunities.
Edit intent: fluency
Original:  By exploiting the waveform superposition property of a multiple-access channel, AirComp turns the air into a computer for computing and communicating functions of distributed data at many devices, thereby dramatically accelerating WDA . In view of growing interests on AirComp, this article provides a timely overview of the technology by discussing basic principles, advanced techniques, applications, answering frequently asked questions , and identifying promising research opportunities.
Revised:  By exploiting the waveform superposition property of a multiple-access channel, AirComp turns the air into a computer for computing and communicating functions of distributed data at many devices, thereby dramatically accelerating WDA . In view of growing interests on AirComp, this article provides a timely overview of the technology by discussing basic principles, discussing advanced techniques and applications , and identifying promising research opportunities.
Edit intent: clarity
Original: The  Internet-of-Things (IoT) presents itself as an emerging technology, which is able to interconnect a massive number of heterogeneous smart devices for supporting complex data-driven applications in a variety of domains, such as smart-cities, healthcare, industrial automation etc.
Revised: The devices forming the Internet-of-Things (IoT) presents itself as an emerging technology, which is able to interconnect a massive number of heterogeneous smart devices for supporting complex data-driven applications in a variety of domains, such as smart-cities, healthcare, industrial automation etc.
Edit intent: clarity
Original:  In this work, we present an overview of OTAP techniques that can be applied to IoT networks.
Revised:  In this work, we present a survey of OTAP techniques that can be applied to IoT networks.
Edit intent: clarity
Original:  In this work, we present an overview of OTAP techniques that can be applied to IoT networks.
Revised:  In this work, we present an overview of OTAP techniques , which can be applied to IoT networks.
Edit intent: coherence
Original:  In this work, a novel algorithm is proposed for reducing the cost-per-frequency associated with near-region computations for both homogeneous and layered background media.
Revised:  We propose a novel algorithm is proposed for reducing the cost-per-frequency associated with near-region computations for both homogeneous and layered background media.
Edit intent: clarity
Original:  In this work, a novel algorithm is proposed for reducing the cost-per-frequency associated with near-region computations for both homogeneous and layered background media.
Revised:  In this work, a novel algorithm for reducing the cost-per-frequency associated with near-region computations for both homogeneous and layered background media.
Edit intent: clarity
Original:  In this work, a novel algorithm is proposed for reducing the cost-per-frequency associated with near-region computations for both homogeneous and layered background media.
Revised:  In this work, a novel algorithm is proposed for reducing the cost-per-frequency of near-region computations for both homogeneous and layered background media.
Edit intent: clarity
Original:  In the proposed extended AIM (AIMx), the SIE operators are decomposed into a frequency-independent term , which contains the singularity of the kernel, and a  frequency-dependent term , which is a smooth function.
Revised:  In the proposed extended AIM (AIMx), the SIE operators are decomposed into a frequency-independent term containing the singularity of the kernel, and a frequency-dependent term , which is a smooth function.
Edit intent: fluency
Original:  The expensive near-region computations are only required for the frequency-independent term, and can be reused at each frequency point , leading to significantly faster frequency sweeps.
Revised:  The expensive near-region computations are only required for the frequency-independent term, and can be reused at each frequency , leading to significantly faster frequency sweeps.
Edit intent: clarity
Original:  The frequency-dependent term is accurately captured via the AIM even in the near region, as confirmed through error analysis.
Revised:  The frequency-dependent term is accurately captured via the AIM even in the near region, as confirmed with an error analysis.
Edit intent: clarity
Original:   The random fluctuations in protein levels produce variability in cellular behavior.
Revised:  Stochastic gene expression has important consequences for cellular function. The random fluctuations in protein levels produce variability in cellular behavior.
Edit intent: clarity
Original:  Stochastic gene expression has important consequences for cellular function.
Edit intent: clarity
Original:  The pulsatile mRNA production through RNAP-II based reinitiation of transcription is an important part of gene expression .
Revised:  The pulsatile mRNA production through RNAP-II based reinitiation of transcription is an important part of gene transcription .
Edit intent: clarity
Original: Word embeddings are a popular way to improve downstream per-formances in contemporary language modeling.
Revised: Word embeddings are a popular way to improve downstream performances in contemporary language modeling.
Edit intent: fluency
Original:  However, the un-derlying geometric structure of the embedding space is not wellunderstood .
Revised:  However, the underlying geometric structure of the embedding space is not wellunderstood .
Edit intent: coherence
Original:  However, the un-derlying geometric structure of the embedding space is not wellunderstood .
Revised:  However, the un-derlying geometric structure of the embedding space is not well understood .
Edit intent: coherence
Original:  We present a series of explorations using bio-inspiredmethodology to traverse and visualize word embeddings, demon-strating evidence of discernible structure.
Revised:  We present a series of explorations using bio-inspired methodology to traverse and visualize word embeddings, demon-strating evidence of discernible structure.
Edit intent: fluency
Original:  We present a series of explorations using bio-inspiredmethodology to traverse and visualize word embeddings, demon-strating evidence of discernible structure.
Revised:  We present a series of explorations using bio-inspiredmethodology to traverse and visualize word embeddings, demonstrating evidence of discernible structure.
Edit intent: fluency
Original:  Moreover, our modelalso produces word similarity rankings that are plausible yet verydifferent from common similarity metrics, mainly cosine similarityand Euclidean distance.
Revised:  Moreover, our model also produces word similarity rankings that are plausible yet verydifferent from common similarity metrics, mainly cosine similarityand Euclidean distance.
Edit intent: fluency
Original:  Moreover, our modelalso produces word similarity rankings that are plausible yet verydifferent from common similarity metrics, mainly cosine similarityand Euclidean distance.
Revised:  Moreover, our modelalso produces word similarity rankings that are plausible yet very different from common similarity metrics, mainly cosine similarityand Euclidean distance.
Edit intent: fluency
Original:  Moreover, our modelalso produces word similarity rankings that are plausible yet verydifferent from common similarity metrics, mainly cosine similarityand Euclidean distance.
Revised:  Moreover, our modelalso produces word similarity rankings that are plausible yet verydifferent from common similarity metrics, mainly cosine similarity and Euclidean distance.
Edit intent: fluency
Original:  We show that our bio-inspired model canbe used to investigate how different word embedding techniquesresult in different semantic outputs, which can emphasize or obscureparticular interpretations in textual data.
Revised:  We show that our bio-inspired model can be used to investigate how different word embedding techniquesresult in different semantic outputs, which can emphasize or obscureparticular interpretations in textual data.
Edit intent: fluency
Original:  We show that our bio-inspired model canbe used to investigate how different word embedding techniquesresult in different semantic outputs, which can emphasize or obscureparticular interpretations in textual data.
Revised:  We show that our bio-inspired model canbe used to investigate how different word embedding techniques result in different semantic outputs, which can emphasize or obscureparticular interpretations in textual data.
Edit intent: fluency
Original:  We show that our bio-inspired model canbe used to investigate how different word embedding techniquesresult in different semantic outputs, which can emphasize or obscureparticular interpretations in textual data.
Revised:  We show that our bio-inspired model canbe used to investigate how different word embedding techniquesresult in different semantic outputs, which can emphasize or obscure particular interpretations in textual data.
Edit intent: fluency
Original: We propose a new binary classification model in Machine Learning, called Phase Separation Binary Classifier (PSBC).
Revised: We propose a new binary classification model called Phase Separation Binary Classifier (PSBC).
Edit intent: clarity
Original:  optimization relies on a classical Backpropagation Algorithm using weight sharing.
Revised:  optimization relies on a classical Backpropagation with weight sharing.
Edit intent: clarity
Original:  Moreover, the model can be seen under the framework of feedforward networks, and is endowed with a nonlinear activation function that is linear in trainable weights but polynomial in other variables  .
Revised:  The model can be seen under the framework of feedforward networks, and is endowed with a nonlinear activation function that is linear in trainable weights but polynomial in other variables .
Edit intent: coherence
Original:  The PSBC also has interesting model compression properties which are thoroughly discussed.
Revised:  The PSBC also has interesting model compression properties are thoroughly discussed.
Edit intent: fluency
Original:  We apply the model to the subset of numbers "0" and "1" of the classical MNIST database, where we are able to discern individuals from both classes with more than 94\\%DIF < accuracy, sometimes using less than 80 variables, a feature that is out of reach of Artificial Neural Networks without weight sharing or feature engineering. %DIF > accuracy, sometimes using \\%DIF > of variables.
Revised:  We apply the model to the subset of numbers "0" and "1" of the classical MNIST database, where we are able to discern individuals with more than 94\\%DIF < accuracy, sometimes using less than 80 variables, a feature that is out of reach of Artificial Neural Networks without weight sharing or feature engineering. %DIF > accuracy, sometimes using \\%DIF > of variables.
Edit intent: clarity
Original:  We apply the model to the subset of numbers "0" and "1" of the classical MNIST database, where we are able to discern individuals from both classes with more than 94\\%DIF < accuracy, sometimes using less than 80 variables, a feature that is out of reach of Artificial Neural Networks without weight sharing or feature engineering. %DIF > accuracy, sometimes using \\%DIF > of variables.
Revised:  We apply the model to the subset of numbers "0" and "1" of the classical MNIST database, where we are able to discern individuals from both classes with more than 94\\%DIF < accuracy, %DIF > accuracy, sometimes using \\%DIF > of variables.
Edit intent: coherence
Original:  It consists of a discretization of a nonlinear reaction-diffusion equation coupled with an ODE , and is inspired by fluid behavior, namely, on how binary fluids phase separate.
Revised:  It consists of a discretization of a nonlinear reaction-diffusion equation coupled with an ODE , and is inspired by fluids behavior, namely, on how binary fluids phase separate.
Edit intent: fluency
Original:  Hence , parameters and hyperparameters have physical meaning, whose effects are carefully studied in several different scenarios.
Revised:  Thus , parameters and hyperparameters have physical meaning, whose effects are carefully studied in several different scenarios.
Edit intent: fluency
Original:  Hence , parameters and hyperparameters have physical meaning, whose effects are carefully studied in several different scenarios.
Revised:  Hence , parameters and hyperparameters have physical meaning, whose effects are studied in several different scenarios.
Edit intent: clarity
Original:  We illustrate the classifier's qualities by applying it to the subset of numbers " 0 " and " 1 " of the classical MNIST database, where we are able to discern individuals with more than 94%DIFDELCMD < \\%%% %DIF < accuracy, sometimes using less only about 10%DIFDELCMD < \\%%% %DIF < of variables.abstract 
Revised:  We illustrate the classifier's qualities by applying it to the subset of numbers " 0 '' and `` 1 " of the classical MNIST database, where we are able to discern individuals with more than 94%DIFDELCMD < \\%%% %DIF < accuracy, sometimes using less only about 10%DIFDELCMD < \\%%% %DIF < of variables.abstract 
Edit intent: fluency
Original:  We illustrate the classifier's qualities by applying it to the subset of numbers " 0 " and " 1 " of the classical MNIST database, where we are able to discern individuals with more than 94%DIFDELCMD < \\%%% %DIF < accuracy, sometimes using less only about 10%DIFDELCMD < \\%%% %DIF < of variables.abstract 
Revised:  We illustrate the classifier's qualities by applying it to the subset of numbers " 0 " and " 1 %DIFDELCMD < \\%%% %DIF < accuracy, sometimes using less only about 10%DIFDELCMD < \\%%% %DIF < of variables.abstract 
Edit intent: coherence
Original:  We illustrate the classifier's qualities by applying it to the subset of numbers " 0 " and " 1 " of the classical MNIST database, where we are able to discern individuals with more than 94%DIFDELCMD < \\%%% %DIF < accuracy, sometimes using less only about 10%DIFDELCMD < \\%%% %DIF < of variables.abstract 
Revised:  We illustrate the classifier's qualities by applying it to the subset of numbers " 0 " and " 1 " of the classical MNIST database, where we are able to discern individuals with more than 94%DIFDELCMD < \\%%% %DIF < accuracy, sometimes using less only about 10%DIFDELCMD < \\%%% %DIF < of variables.abstract ''.
Edit intent: coherence
Original:  Optimality is derived and verified by variational and numerical methods for a number of cost model functions.
Revised:  Optimality is derived and verified by variational and numerical methods for a number of model cost functions.
Edit intent: fluency
Original:  Here, we present Vapur, an online COVID-19 search engine specifically designed for finding related protein - chemical pairs.
Revised:  Here, we present Vapur, an online COVID-19 search engine specifically designed for finding related protein-chemical pairs.
Edit intent: fluency
Original:  The online interface is designed for the smooth traversal of the current literature and is publicly available at URL 
Revised:  The online interface is designed for the smooth traversal of the current literature and is publicly available at URL .
Edit intent: fluency
Original: Coronavirus Disease of 2019 (COVID-19) created dire consequences globally and triggered an enormous scientific effort from different domains.
Revised: Coronavirus Disease of 2019 (COVID-19) created dire consequences globally and triggered an intense scientific effort from different domains.
Edit intent: clarity
Original:  Resulting publications formed a gigantic domain-specific collection of text in which finding studies on a biomolecule of interest is quite challenging for general purpose search engines due to terminology-rich characteristics of the publications .
Revised:  The resulting publications created a huge text collection in which finding studies on a biomolecule of interest is quite challenging for general purpose search engines due to terminology-rich characteristics of the publications .
Edit intent: clarity
Original:  Resulting publications formed a gigantic domain-specific collection of text in which finding studies on a biomolecule of interest is quite challenging for general purpose search engines due to terminology-rich characteristics of the publications .
Revised:  Resulting publications formed a gigantic domain-specific collection of text in which finding studies on a biomolecule of interest is challenging for general purpose search engines due to terminology-rich characteristics of the publications .
Edit intent: clarity
Original:  Resulting publications formed a gigantic domain-specific collection of text in which finding studies on a biomolecule of interest is quite challenging for general purpose search engines due to terminology-rich characteristics of the publications .
Revised:  Resulting publications formed a gigantic domain-specific collection of text in which finding studies on a biomolecule of interest is quite challenging for general purpose search engines because the publications are rich in domain specific terminology .
Edit intent: clarity
Original:  Here, we present Vapur , an online COVID-19 search engine specifically designed for finding related protein-chemical pairs.
Revised:  Here, we present Vapur : an online COVID-19 search engine specifically designed for finding related protein-chemical pairs.
Edit intent: fluency
Original:  Here, we present Vapur , an online COVID-19 search engine specifically designed for finding related protein-chemical pairs.
Revised:  Here, we present Vapur , an online COVID-19 search engine specifically designed to find related protein - chemical pairs.
Edit intent: fluency
Original:  Vapur is empowered with a biochemically related entities-oriented inverted index in order to group studies relevant to a biomolecule with respect to its related entities.
Revised:  Vapur is empowered with a relation-oriented inverted index that is able to retrieve and group studies for a query biomolecule with respect to its related entities.
Edit intent: clarity
Original:  This paper proposes a decision-diagram style data structure, called TDD (Tensor Decision Diagram), for more principled and convenient applications of tensor networks.
Revised:  This paper proposes a decision diagram style data structure, called TDD (Tensor Decision Diagram), for more principled and convenient applications of tensor networks.
Edit intent: fluency
Original: Counterfactual learning for dealing with missing-not-at-random data (MNAR) is an intriguing topic in the recommendation literature , since MNAR data are ubiquitous in modern recommender systems.
Revised: Counterfactual learning for dealing with missing-not-at-random data (MNAR) is an intriguing topic in the recommendation literature since MNAR data are ubiquitous in modern recommender systems.
Edit intent: fluency
Original:  To circumvent the use of RCTs, we build an information theoretic counterfactual variational information bottleneck (CVIB), as an alternative for debiasing learning without RCTs.
Revised:  To circumvent the use of RCTs, we build an information-theoretic counterfactual variational information bottleneck (CVIB), as an alternative for debiasing learning without RCTs.
Edit intent: fluency
Original:  However, large clusters also induce large fluctuations in the activity which causes adaptation to take over .
Revised:  But large clusters also induce large fluctuations in the activity which causes adaptation to take over .
Edit intent: coherence
Original:  The activity , and hence the run-tumble motility now gets controlled by methylation levels which are part of adaptation module, rather than ligand binding.
Revised:  The activity and hence the run-tumble motility now gets controlled by methylation levels which are part of adaptation module, rather than ligand binding.
Edit intent: fluency
Original: We propose a Healthcare Graph Convolutional Network (HealGCN) to offer disease self-diagnosis service for online users , based on the Electronic Healthcare Records (EHRs).
Revised: We propose a Healthcare Graph Convolutional Network (HealGCN) to offer disease self-diagnosis service for online users based on Electronic Healthcare Records (EHRs).
Edit intent: fluency
Original:  Two main challenges are focused in this paper for online disease self-diagnosis : (1) serving cold-start users via graph convolutional networks and (2) handling scarce clinical description via a symptom retrieval system.
Revised:  Two main challenges are focused in this paper for online disease diagnosis : (1) serving cold-start users via graph convolutional networks and (2) handling scarce clinical description via a symptom retrieval system.
Edit intent: clarity
Original:  GraphRet helps enrich the seed symptom set through the EHR graph , resulting in better reasoning ability of our HealGCN model, when confronting users with scarce descriptions  .
Revised:  GraphRet helps enrich the seed symptom set through the EHR graph when confronting users with scarce descriptions .
Edit intent: clarity
Original:  At last, we validate  our model on a large-scale EHR dataset , the superior performance does confirm our model's effectiveness in practice .
Revised:  At last, we validate the superiority of our model on a large-scale EHR dataset , the superior performance does confirm our model's effectiveness in practice .
Edit intent: clarity
Original:  At last, we validate  our model on a large-scale EHR dataset , the superior performance does confirm our model's effectiveness in practice .
Revised:  At last, we validate our model on a large-scale EHR dataset .
Edit intent: clarity
Original: Near real-time monitoring of outbreak transmission dynamics and evaluation of public health interventions are critical for interrupting the spread of the novel coronavirus ( SARS-CoV-2 ) and mitigating morbidity and mortality caused by coronavirus disease (COVID-19).
Revised: Mechanistic modeling of SARS-CoV-2 ) and mitigating morbidity and mortality caused by coronavirus disease (COVID-19).
Edit intent: clarity