wanyu/IteraTeR_v2 huggingface dataset:
Original:  Modelling 25 years of legislation as multidimensional, time-evolving document networks, we investigate the sources of this development using methods from network science and natural language processing.
Revised:  We investigate the sources of this development using methods from network science and natural language processing.
Edit intent: clarity
Original:  To allow for cross-country comparisons , we reorganise the legislative materials of the United States and Germany into clusters that reflect legal topics.
Revised:  To allow for cross-country comparisons , we reorganise the legislative materials of the United States and Germany into cluster families that reflect legal topics.
Edit intent: clarity
Original: In recent years, the concept of shared ledger systems offering a single source of truth has begun to put traditional bookkeeping into question.
Revised: The concept of shared ledger systems offering a single source of truth has begun to put traditional bookkeeping into question.
Edit intent: clarity
Original: In recent years, the concept of shared ledger systems offering a single source of truth has begun to put traditional bookkeeping into question.
Revised: In recent years, the concept of shared ledger systems offering a single source of truth has repeatedly called traditional bookkeeping into question.
Edit intent: clarity
Original:  This paper conducts a genealogical analysis of shared ledger systems from their early forms such as Resource-Event-Agent (REA) accounting and triple-entry accounting (TEA ) to their present incarnation in blockchain.
Revised:  This paper conducts a genealogical analysis of shared ledger systems , in particular tracing the development of REA, TEA and blockchain.
Edit intent: clarity
Original:  As such , we duly acknowledge the influence of each individual contributing to this development, correct common misconceptions and map out how the paths of REA, TEA and blockchain converge in the realm of shared ledger systems.
Revised:  As such , we duly acknowledge the influence of each individual contributing to this development, correct common misconceptions and map out how the paths of REA, TEA and blockchain overlap in the realm of shared ledger systems.
Edit intent: clarity
Original: The rich compact harmonic view of the magnitude representation is considered a suitable choice for training these models with audio data.
Revised: The rich compact harmonic view of the magnitude spectrogram is considered a suitable choice for training these models with audio data.
Edit intent: clarity
Original: We study the full dynamics of droplets placed on an inclined groove-textured surface with merging and splitting.
Revised: The geometric motion of small droplets placed on an inclined groove-textured surface with merging and splitting.
Edit intent: clarity
Original: With more than 3.8 million people infected Coronavirus Disease 2019 (COVID-19) , caused by novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), poses a critical threat to human health.
Revised: Coronavirus disease 2019 (COVID-19) , caused by novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), poses a critical threat to human health.
Edit intent: coherence
Original: With more than 3.8 million people infected Coronavirus Disease 2019 (COVID-19) , caused by novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), poses a critical threat to human health.
Revised: With more than 3.8 million people infected Coronavirus Disease 2019 (COVID-19) has impacted almost every part of human life worldwide, posing a massive threat to human health.
Edit intent: clarity
Original:  There is no proven vaccine or specific drug to date, which highlights the urgent need for rapid development of therapeutics for COVID-19 . To identify potentially repurposable drugs, we employed a systematic approach to mine candidates from U.S. FDA approved drugs and pre-clinical small-molecule compounds by integrating the gene expression perturbation data by chemicals from the Library of Integrated Network-Based Cellular Signatures (LINCS)
Revised:  There is no specific drug for COVID-19, highlighting the urgent need for rapid development of therapeutics for COVID-19 . To identify potentially repurposable drugs, we employed a systematic approach to mine candidates from U.S. FDA approved drugs and pre-clinical small-molecule compounds by integrating the gene expression perturbation data by chemicals from the Library of Integrated Network-Based Cellular Signatures (LINCS)
Edit intent: coherence
Original:  There is no proven vaccine or specific drug to date, which highlights the urgent need for rapid development of therapeutics for COVID-19 . To identify potentially repurposable drugs, we employed a systematic approach to mine candidates from U.S. FDA approved drugs and pre-clinical small-molecule compounds by integrating the gene expression perturbation data by chemicals from the Library of Integrated Network-Based Cellular Signatures (LINCS)
Revised:  There is no proven vaccine or specific drug to date, which highlights the urgent need for the development of effective therapeutics . To identify potentially repurposable drugs, we employed a systematic approach to mine candidates from U.S. FDA approved drugs and pre-clinical small-molecule compounds by integrating the gene expression perturbation data by chemicals from the Library of Integrated Network-Based Cellular Signatures (LINCS)
Edit intent: clarity
Original:  There is no proven vaccine or specific drug to date, which highlights the urgent need for rapid development of therapeutics for COVID-19 . To identify potentially repurposable drugs, we employed a systematic approach to mine candidates from U.S. FDA approved drugs and pre-clinical small-molecule compounds by integrating the gene expression perturbation data by chemicals from the Library of Integrated Network-Based Cellular Signatures (LINCS)
Revised:  There is no proven vaccine or specific drug to date, which highlights the urgent need for rapid development of therapeutics for COVID-19 . To identify potentially repurposable drugs, we employed a systematic approach to mine candidates from U.S. FDA-approved drugs and preclinical small-molecule compounds by integrating the gene expression perturbation data by chemicals from the Library of Integrated Network-Based Cellular Signatures (LINCS)
Edit intent: fluency
Original:  There is no proven vaccine or specific drug to date, which highlights the urgent need for rapid development of therapeutics for COVID-19 . To identify potentially repurposable drugs, we employed a systematic approach to mine candidates from U.S. FDA approved drugs and pre-clinical small-molecule compounds by integrating the gene expression perturbation data by chemicals from the Library of Integrated Network-Based Cellular Signatures (LINCS)
Revised:  There is no proven vaccine or specific drug to date, which highlights the urgent need for rapid development of therapeutics for COVID-19 . To identify potentially repurposable drugs, we employed a systematic approach to mine candidates from U.S. FDA approved drugs and pre-clinical small-molecule compounds by integrating the gene expression perturbation data for chemicals from the Library of Integrated Network-Based Cellular Signatures (LINCS)
Edit intent: fluency
Original:  We identified 281 FDA approved drugs that have the potential to be effective against SARS-CoV-2 infection, 10 of which are currently undergoing clinical trials to evaluate their efficacy against COVID-19.
Revised:  We identified 281 FDA-approved drugs that have the potential to be effective against SARS-CoV-2 infection, 10 of which are currently undergoing clinical trials to evaluate their efficacy against COVID-19.
Edit intent: fluency
Original:   In conclusion, we have identified a list of repurposable anti-SARS- CoV-2 drugs using a systems biology approach.
Revised:  In conclusion, we have identified a list of repurposable anti-SARS-CoV-2 drugs using a systems biology approach.
Edit intent: fluency
Original:  We provide a tomographic method to infer the underlying routing topology of an arbitrary set of monitor paths , based on the joint distribution of end-to-end measurements  .
Revised:  We provide a tomographic method to infer the underlying routing topology of an arbitrary set of monitor paths using the joint distribution of end-to-end measurements .
Edit intent: coherence
Original:  When testing n samples with t tests, as many as k = O(t / \log n) infected samples can be identified at clinically-acceptable false positive and false negative rates.
Revised:  When testing n samples out of which k \ll n are infected, our method needs only O(k \log n) infected samples can be identified at clinically-acceptable false positive and false negative rates.
Edit intent: clarity
Original:  This makes Tapestry  viable even at prevalence rates as high as 10 \\%DIF < . Tapestry has been validated in simulations as well as in %DIF > .  wet lab experiments with oligomers . Clinical trials with Covid-19 samples are underway.
Revised:  This makes Tapestry viable even at prevalence rates as high as 10 \\%DIF < . Tapestry has been validated in simulations as %DIF > . wet lab experiments with oligomers . Clinical trials with Covid-19 samples are underway.
Edit intent: clarity
Original:  Unlike these legacy modeling paradigms, this paper considers heterogeneous (1) content preference of the users and (2) caching models at the edge nodes.
Revised:  Unlike these legacy modeling paradigms, this paper considers heterogeneous content preference of the users and (2) caching models at the edge nodes.
Edit intent: fluency
Original:  Unlike these legacy modeling paradigms, this paper considers heterogeneous (1) content preference of the users and (2) caching models at the edge nodes.
Revised:  Unlike these legacy modeling paradigms, this paper considers heterogeneous (1) content preference of the users with heterogeneous caching models at the edge nodes.
Edit intent: coherence
Original:  Besides, collaboration among these spatially distributed edge nodes is used aiming to maximize the cache hit ratio (CHR) in a two-tier heterogeneous network platform .
Revised:  Besides, aiming to maximize the cache hit ratio (CHR) in a two-tier heterogeneous network platform .
Edit intent: clarity
Original:  Thanks to artificial intelligence (AI), based on the methodologies of the conventional particle swarm optimization ( PSO), we propose a modified PSO ( M-PSO) to efficiently solve the complex constraint problem in a reasonable time.
Revised:  We propose a modified particle swarm optimization ( PSO), we propose a modified PSO ( M-PSO) to efficiently solve the complex constraint problem in a reasonable time.
Edit intent: coherence
Original:  Thanks to artificial intelligence (AI), based on the methodologies of the conventional particle swarm optimization ( PSO), we propose a modified PSO ( M-PSO) to efficiently solve the complex constraint problem in a reasonable time.
Revised:  Thanks to artificial intelligence (AI), based on the methodologies of the conventional particle swarm optimization ( M-PSO) to efficiently solve the complex constraint problem in a reasonable time.
Edit intent: coherence
Original:  Thanks to artificial intelligence (AI), based on the methodologies of the conventional particle swarm optimization ( PSO), we propose a modified PSO ( M-PSO) to efficiently solve the complex constraint problem in a reasonable time.
Revised:  Thanks to artificial intelligence (AI), based on the methodologies of the conventional particle swarm optimization ( PSO), we propose a modified PSO ( M-PSO) algorithm that efficiently solves the complex constraint problem in a reasonable time.
Edit intent: clarity
Original: The computational strategies like molecular docking, simulation, in silico ADMET and drug-likeness prediction were adopted to search potential compounds that can inhibit the effects of SARS-CoV-2.
Revised: The computational strategies like molecular docking, simulation, in silico ADMET and drug-likeness prediction to identify the potential hits that can inhibit the effects of SARS-CoV-2.
Edit intent: clarity
Original:  Also, the plants extracts like neem, tulsi, citrus and olives containing these phytochemicals can be used to formulate suitable therapeutics approaches in traditional medicines.
Revised:  Also, the plants extracts like neem, tulsi, citrus and olives can be used to formulate suitable therapeutics approaches in traditional medicines.
Edit intent: clarity
Original:  Also, the plants extracts like neem, tulsi, citrus and olives containing these phytochemicals can be used to formulate suitable therapeutics approaches in traditional medicines.
Revised:  Also, the plants extracts like neem, tulsi, citrus and olives containing these phytochemicals can be used to formulate suitable therapeutic approaches in traditional medicines.
Edit intent: fluency
Original: With numerous ongoing deployments owned by private companies and startups, dense satellite constellations , with hundreds or even thousands of small satellites deployed in low Earth orbit (LEO) , will play a major role in the near future of wireless communications.
Revised: With numerous ongoing deployments owned by private companies and startups, dense satellite constellations deployed in low Earth orbit (LEO) , will play a major role in the near future of wireless communications.
Edit intent: clarity
Original: With numerous ongoing deployments owned by private companies and startups, dense satellite constellations , with hundreds or even thousands of small satellites deployed in low Earth orbit (LEO) , will play a major role in the near future of wireless communications.
Revised: With numerous ongoing deployments owned by private companies and startups, dense satellite constellations , with hundreds or even thousands of small satellites deployed in low Earth orbit (LEO) will play a major role in the near future of wireless communications.
Edit intent: fluency
Original:  Nevertheless, there are numerous challenges that must be overcome to fully exploit the connectivity capabilities of satellite constellations.
Revised:  Nevertheless, numerous challenges must be overcome to fully exploit the connectivity capabilities of satellite constellations.
Edit intent: coherence
Original:  Our results show that the proposed algorithms increase 1) the sum of rates in the constellation  by up to 81 \% with respect to the state-of-the-art benchmark schemes  and 2) the resource efficiency by up to 700 \% when compared to random resource allocation  .
Revised:  Our results show that the proposed algorithms increase the sum of rates in the constellation by up to 81 \% with respect to the state-of-the-art benchmark schemes and 2) the resource efficiency by up to 700 \% when compared to random resource allocation .
Edit intent: fluency
Original:  Our results show that the proposed algorithms increase 1) the sum of rates in the constellation  by up to 81 \% with respect to the state-of-the-art benchmark schemes  and 2) the resource efficiency by up to 700 \% when compared to random resource allocation  .
Revised:  Our results show that the proposed algorithms increase 1) the sum of rates in the constellation by up to 81 \% with respect to the state-of-the-art benchmark schemes in an interference-free environment and 2) the resource efficiency by up to 700 \% when compared to random resource allocation .
Edit intent: clarity
Original:  Our results show that the proposed algorithms increase 1) the sum of rates in the constellation  by up to 81 \% with respect to the state-of-the-art benchmark schemes  and 2) the resource efficiency by up to 700 \% when compared to random resource allocation  .
Revised:  Our results show that the proposed algorithms increase 1) the sum of rates in the constellation by up to 81 \% with respect to the state-of-the-art benchmark schemes and 2) by up to 700 \% when compared to random resource allocation .
Edit intent: clarity
Original: Recent evolutions in semiconductors and photonics have brought the terahertz band in the spotlight as an enabler for terabit-per-second communications in 6G networks.
Revised: Recent evolutions in semiconductors have brought the terahertz band in the spotlight as an enabler for terabit-per-second communications in 6G networks.
Edit intent: clarity
Original:  This serves as a model for participatory budgeting without an exogenously available budget, as well as donor coordination when interpreting charities as public projects and donations as contributions.
Revised:  This serves as a model for public expenditure without an exogenously available budget, as well as donor coordination when interpreting charities as public projects and donations as contributions.
Edit intent: clarity
Original:  We identify a specific mechanism---the Nash product rule---which picks the distribution that maximizes the product of the agents' utilities.
Revised:  We identify a specific mechanism -- the Nash product rule -- which picks the distribution that maximizes the product of the agents' utilities.
Edit intent: fluency
Original:  This rule is Pareto efficient, and we prove that it satisfies attractive incentive properties: the Nash rule spends an agent's contribution only on projects the agent finds acceptable, and it provides strong participation incentives.
Revised:  This rule is Pareto efficient, and we prove that it satisfies attractive incentive properties: it spends each agent's contribution only on projects the agent finds acceptable, and it provides strong participation incentives.
Edit intent: clarity
Original:  If no, we can attempt to activate her again with higher cost, or select other node as a seed.
Revised:  If no, we can attempt to activate her again with a higher cost or select another node as a seed.
Edit intent: fluency
Original:  We model the multiple activations mathematically , and define it on the domain of integer lattice.
Revised:  We model the multiple activations mathematically and define it on the domain of integer lattice.
Edit intent: fluency
Original:  Adaptive DR-submodular maximization problem is never covered by any existing studies.
Revised:  Adaptive dr-submodular maximization problem is never covered by any existing studies.
Edit intent: fluency
Original:  Thus, we summarize its properties and study its approximability comprehensively, which is a non-trival generalization of existing analysis about adaptive submodularity.
Revised:  Thus, we summarize its properties and study its approximability comprehensively, which is a non-trivial generalization of existing analysis about adaptive submodularity.
Edit intent: fluency
Original:  Besides, to overcome the difficulty to estimate the  influence spread, we combine  adaptive greedy policy with sampling techniques without losing  approximation ratio but reducing the time complexity.
Revised:  Besides, to overcome the difficulty to estimate the influence spread, we combine our adaptive greedy policy with sampling techniques without losing approximation ratio but reducing the time complexity.
Edit intent: coherence
Original:  Besides, to overcome the difficulty to estimate the  influence spread, we combine  adaptive greedy policy with sampling techniques without losing  approximation ratio but reducing the time complexity.
Revised:  Besides, to overcome the difficulty to estimate the influence spread, we combine adaptive greedy policy with sampling techniques without losing the approximation ratio but reducing the time complexity.
Edit intent: fluency
Original:  Finally, we conduct experiments on several real datasets to evaluate the effectiveness and efficiency of our proposed algorithms .
Revised:  Finally, we conduct experiments on several real datasets to evaluate the effectiveness and efficiency of our proposed policies .
Edit intent: clarity
Original: Background: The human gastrointestinal tract is an environment that hosts an ecosystem of microorganisms essential to human health.
Revised:  The human gastrointestinal tract is an environment that hosts an ecosystem of microorganisms essential to human health.
Edit intent: coherence
Original:  Conclusion: We characterize the order of the system based on the relative quantity of statistical information encoded by high-order statistical associations of the infant gut microbiota.
Revised:  We characterize the order of the system based on the relative quantity of statistical information encoded by high-order statistical associations of the infant gut microbiota.
Edit intent: coherence
Original: Mechano-electric coupling (MEC) in the atrial tissue has received sparse investigation to date, despite the well-known association between chronic atrial dilation and atrial fibrillation (AF).
Revised: Mechano-electric coupling (MEC) in atrial tissue has received sparse investigation to date, despite the well-known association between chronic atrial dilation and atrial fibrillation (AF).
Edit intent: fluency
Original:  Of note, no fewer than six different mechanisms pertaining to stretch-activated channels, cellular conductance and geometric effects have been identified in the literature as potential players.
Revised:  Of note, no fewer than six different mechanisms pertaining to stretch-activated channels, cellular capacitance and geometric effects have been identified in the literature as potential players.
Edit intent: clarity
Original:  In this context, complex networks are a great candidate due to its ability to tackle structural and dynamical properties.
Revised:  In this context, Complex networks are a great candidate due to its ability to tackle structural and dynamical properties.
Edit intent: fluency
Original:  In this context, complex networks are a great candidate due to its ability to tackle structural and dynamical properties.
Revised:  In this context, complex networks are a great candidate to analyze these systems due to their ability to tackle structural and dynamical properties.
Edit intent: clarity
Original:  Therefore this study presents a new approach to model and characterizes the COVID-19 epidemic using a multi-layer complex network, where nodes represent people, edges are social contacts  and layers represent different social activities.
Revised:  Therefore this study presents a new approach to model the COVID-19 epidemic using a multi-layer complex network, where nodes represent people, edges are social contacts and layers represent different social activities.
Edit intent: coherence
Original:  Therefore this study presents a new approach to model and characterizes the COVID-19 epidemic using a multi-layer complex network, where nodes represent people, edges are social contacts  and layers represent different social activities.
Revised:  Therefore this study presents a new approach to model and characterizes the COVID-19 epidemic using a multi-layer complex network, where nodes represent people, edges are social contacts , and layers represent different social activities.
Edit intent: fluency
Original:  The network is characterized by considering statistics of infection, death, and hospitalization time.
Revised:  The network is characterized using statistics of infection, death, and hospitalization time.
Edit intent: clarity
Original:  If all activities return to normal, the epidemic growth suffers a steep increase over the current pattern , and the demand for ICU beds my surpass 3.5 times the country's capacity.
Revised:  If all activities return to normal, the epidemic growth may suffer a steep increase over the current pattern , and the demand for ICU beds my surpass 3.5 times the country's capacity.
Edit intent: fluency
Original:  If all activities return to normal, the epidemic growth suffers a steep increase over the current pattern , and the demand for ICU beds my surpass 3.5 times the country's capacity.
Revised:  If all activities return to normal, the epidemic growth suffers a steep increase , and the demand for ICU beds my surpass 3.5 times the country's capacity.
Edit intent: clarity