wanyu/IteraTeR_full_sent huggingface dataset:
Original: We propose Tapestry , a novel approach to pooled testing with application to COVID-19 testing with quantitative  Polymerase Chain Reaction ( PCR ) that can result in shorter testing time and conservation of reagents and testing kits.
Revised: We propose Tapestry , a novel approach to pooled testing with application to COVID-19 testing with quantitative Polymerase Chain Reaction ( RT-PCR ) that can result in shorter testing time and conservation of reagents and testing kits.
Edit intent: meaning-changed
Original:  Tapestry combines ideas from compressed sensing and combinatorial group testing with a novel noise model for PCR . Unlike Boolean group testing algorithms, the input is a quantitative readout from each test , and the output is a list of viral loads for each sample  .
Revised:  Tapestry combines ideas from compressed sensing and combinatorial group testing with a novel noise model for RT-PCR used for generation of synthetic data . Unlike Boolean group testing algorithms, the input is a quantitative readout from each test , and the output is a list of viral loads for each sample .
Edit intent: meaning-changed
Original:  Tapestry combines ideas from compressed sensing and combinatorial group testing with a novel noise model for PCR . Unlike Boolean group testing algorithms, the input is a quantitative readout from each test , and the output is a list of viral loads for each sample  .
Revised:  Tapestry combines ideas from compressed sensing and combinatorial group testing with a novel noise model for PCR . Unlike Boolean group testing algorithms, the input is a quantitative readout from each test and the output is a list of viral loads for each sample .
Edit intent: fluency
Original:  Tapestry combines ideas from compressed sensing and combinatorial group testing with a novel noise model for PCR . Unlike Boolean group testing algorithms, the input is a quantitative readout from each test , and the output is a list of viral loads for each sample  .
Revised:  Tapestry combines ideas from compressed sensing and combinatorial group testing with a novel noise model for PCR . Unlike Boolean group testing algorithms, the input is a quantitative readout from each test , and the output is a list of viral loads for each sample relative to the pool with the highest viral load .
Edit intent: meaning-changed
Original:  While other pooling techniques require a second confirmatory assay, Tapestry obtains individual sample-level results in a single round of testing .
Revised:  While other pooling techniques require a second confirmatory assay, Tapestry obtains individual sample-level results in a single round of testing , at clinically acceptable false positive or false negative rates. We also propose designs for pooling matrices that facilitate good prediction of the infected samples while remaining practically viable.
Edit intent: meaning-changed
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 with t tests, as many as k = O(t / \log n) tests when using random binary pooling matrices, with high probability. However, we also use deterministic binary pooling matrices based on combinatorial design ideas of Kirkman Triple Systems to balance between good reconstruction properties and matrix sparsity for ease of pooling. In practice, we have observed the need for fewer tests with such matrices than with random pooling matrices.
Edit intent: meaning-changed
Original:  This makes Tapestry  viable even at prevalence rates as high as 10 \\%DIF < . Tapestry has been validated in simulations as well as in wet lab experiments with oligomers.
Revised:  This makes Tapestry capable of very large savings at low prevalence rates, while simultaneously remaining viable even at prevalence rates as high as 10 \\%DIF < . Tapestry has been validated in simulations as well as in wet lab experiments with oligomers.
Edit intent: meaning-changed
Original:  This makes Tapestry  viable even at prevalence rates as high as 10 \\%DIF < . Tapestry has been validated in simulations as well as in wet lab experiments with oligomers.
Revised:  This makes Tapestry viable even at prevalence rates as high as 9.5 \\%DIF < . Tapestry has been validated in simulations as well as in wet lab experiments with oligomers.
Edit intent: meaning-changed
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: Virtual screening of phytochemicals was performed through 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.
Edit intent: meaning-changed
Original:  Considering the published literatures on medicinal importance, total 154 phytochemicals with analogous structure from limonoids and triterpenoids were selected to search potential inhibitors for the five  protein targets of SARS-CoV-2, i.e., 3CLpro (main protease), PLpro ( papain like protease), SGp-RBD (spike glycoprotein-receptor binding domain), RdRp (RNA dependent RNA polymerase , ACE2 ( angiotensin converting enzyme 2).
Revised:  Considering the published literature on medicinal importance, total 154 phytochemicals with analogous structure from limonoids and triterpenoids were selected to search potential inhibitors for the five protein targets of SARS-CoV-2, i.e., 3CLpro (main protease), PLpro ( papain like protease), SGp-RBD (spike glycoprotein-receptor binding domain), RdRp (RNA dependent RNA polymerase , ACE2 ( angiotensin converting enzyme 2).
Edit intent: fluency
Original:  Considering the published literatures on medicinal importance, total 154 phytochemicals with analogous structure from limonoids and triterpenoids were selected to search potential inhibitors for the five  protein targets of SARS-CoV-2, i.e., 3CLpro (main protease), PLpro ( papain like protease), SGp-RBD (spike glycoprotein-receptor binding domain), RdRp (RNA dependent RNA polymerase , ACE2 ( angiotensin converting enzyme 2).
Revised:  Considering the published literatures on medicinal importance, total 154 phytochemicals with analogous structure from limonoids and triterpenoids were selected to search potential inhibitors for the five therapeutic protein targets of SARS-CoV-2, i.e., 3CLpro (main protease), PLpro ( papain like protease), SGp-RBD (spike glycoprotein-receptor binding domain), RdRp (RNA dependent RNA polymerase , ACE2 ( angiotensin converting enzyme 2).
Edit intent: clarity
Original:  Considering the published literatures on medicinal importance, total 154 phytochemicals with analogous structure from limonoids and triterpenoids were selected to search potential inhibitors for the five  protein targets of SARS-CoV-2, i.e., 3CLpro (main protease), PLpro ( papain like protease), SGp-RBD (spike glycoprotein-receptor binding domain), RdRp (RNA dependent RNA polymerase , ACE2 ( angiotensin converting enzyme 2).
Revised:  Considering the published literatures on medicinal importance, total 154 phytochemicals with analogous structure from limonoids and triterpenoids were selected to search potential inhibitors for the five protein targets of SARS-CoV-2, i.e., 3CLpro (main protease), PLpro ( papain-like protease), SGp-RBD (spike glycoprotein-receptor binding domain), RdRp (RNA dependent RNA polymerase , ACE2 ( angiotensin converting enzyme 2).
Edit intent: fluency
Original:  Considering the published literatures on medicinal importance, total 154 phytochemicals with analogous structure from limonoids and triterpenoids were selected to search potential inhibitors for the five  protein targets of SARS-CoV-2, i.e., 3CLpro (main protease), PLpro ( papain like protease), SGp-RBD (spike glycoprotein-receptor binding domain), RdRp (RNA dependent RNA polymerase , ACE2 ( angiotensin converting enzyme 2).
Revised:  Considering the published literatures on medicinal importance, total 154 phytochemicals with analogous structure from limonoids and triterpenoids were selected to search potential inhibitors for the five protein targets of SARS-CoV-2, i.e., 3CLpro (main protease), PLpro ( papain like protease), SGp-RBD (spike glycoprotein-receptor binding domain), RdRp (RNA dependent RNA polymerase ) and ACE2 ( angiotensin converting enzyme 2).
Edit intent: fluency
Original:  Considering the published literatures on medicinal importance, total 154 phytochemicals with analogous structure from limonoids and triterpenoids were selected to search potential inhibitors for the five  protein targets of SARS-CoV-2, i.e., 3CLpro (main protease), PLpro ( papain like protease), SGp-RBD (spike glycoprotein-receptor binding domain), RdRp (RNA dependent RNA polymerase , ACE2 ( angiotensin converting enzyme 2).
Revised:  Considering the published literatures on medicinal importance, total 154 phytochemicals with analogous structure from limonoids and triterpenoids were selected to search potential inhibitors for the five protein targets of SARS-CoV-2, i.e., 3CLpro (main protease), PLpro ( papain like protease), SGp-RBD (spike glycoprotein-receptor binding domain), RdRp (RNA dependent RNA polymerase , ACE2 ( angiotensin-converting enzyme 2).
Edit intent: fluency
Original:  Analyses of the in silico computational results and reported medicinal uses, the phytochemicals such as 7-deacetyl-7-benzoylgedunin, epoxyazadiradione, limonin, maslinic acid, glycyrrhizic acid and ursolic acid were found to be effective against the target proteins of SARS-CoV-2.
Revised:  The in silico computational results and reported medicinal uses, the phytochemicals such as 7-deacetyl-7-benzoylgedunin, epoxyazadiradione, limonin, maslinic acid, glycyrrhizic acid and ursolic acid were found to be effective against the target proteins of SARS-CoV-2.
Edit intent: clarity
Original:  Analyses of the in silico computational results and reported medicinal uses, the phytochemicals such as 7-deacetyl-7-benzoylgedunin, epoxyazadiradione, limonin, maslinic acid, glycyrrhizic acid and ursolic acid were found to be effective against the target proteins of SARS-CoV-2.
Revised:  Analyses of the in silico computational results revealed that the phytochemicals such as 7-deacetyl-7-benzoylgedunin, epoxyazadiradione, limonin, maslinic acid, glycyrrhizic acid and ursolic acid were found to be effective against the target proteins of SARS-CoV-2.
Edit intent: clarity
Original:  Analyses of the in silico computational results and reported medicinal uses, the phytochemicals such as 7-deacetyl-7-benzoylgedunin, epoxyazadiradione, limonin, maslinic acid, glycyrrhizic acid and ursolic acid were found to be effective against the target proteins of SARS-CoV-2.
Revised:  Analyses of the in silico computational results and reported medicinal uses, the phytochemicals such as glycyrrhizic acid, limonin, 7-deacetyl-7-benzoylgedunin, maslinic acid, glycyrrhizic acid and ursolic acid were found to be effective against the target proteins of SARS-CoV-2.
Edit intent: coherence
Original:  Analyses of the in silico computational results and reported medicinal uses, the phytochemicals such as 7-deacetyl-7-benzoylgedunin, epoxyazadiradione, limonin, maslinic acid, glycyrrhizic acid and ursolic acid were found to be effective against the target proteins of SARS-CoV-2.
Revised:  Analyses of the in silico computational results and reported medicinal uses, the phytochemicals such as 7-deacetyl-7-benzoylgedunin, epoxyazadiradione, limonin, maslinic acid, corosolic acid, obacunone and ursolic acid were found to be effective against the target proteins 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 medicinal plants containing these phytochemicals like licorice, neem, tulsi, citrus and olives containing these phytochemicals can be used to formulate suitable therapeutics approaches in traditional medicines.
Edit intent: meaning-changed
Original:  In this paper, we study the adaptive influence maximization with multiple activations (Adaptive-IMMA) problem, where we select a node at each step , observe whether she accepts to be a seed, if yes, wait to observe the influence diffusion process;
Revised:  In this paper, we study the adaptive influence maximization with multiple activations (Adaptive-IMMA) problem, where we select a node in each iteration , observe whether she accepts to be a seed, if yes, wait to observe the influence diffusion process;
Edit intent: clarity
Original:  We propose a new concept, adaptive DR-submodularity , and show our Adaptive-IMMA is the problem that maximizing an adaptive monotone and DR-submodular function under the  knapsack constraint.
Revised:  We propose a new concept, adaptive dr-submodularity , and show our Adaptive-IMMA is the problem that maximizing an adaptive monotone and DR-submodular function under the knapsack constraint.
Edit intent: fluency
Original:  We propose a new concept, adaptive DR-submodularity , and show our Adaptive-IMMA is the problem that maximizing an adaptive monotone and DR-submodular function under the  knapsack constraint.
Revised:  We propose a new concept, adaptive DR-submodularity , and show our Adaptive-IMMA is the problem that maximizing an adaptive monotone and dr-submodular function under the knapsack constraint.
Edit intent: fluency
Original:  We propose a new concept, adaptive DR-submodularity , and show our Adaptive-IMMA is the problem that maximizing an adaptive monotone and DR-submodular function under the  knapsack constraint.
Revised:  We propose a new concept, adaptive DR-submodularity , and show our Adaptive-IMMA is the problem that maximizing an adaptive monotone and DR-submodular function under the expected knapsack constraint.
Edit intent: clarity
Original: The Semantic Web is an interoperable ecosystem where data producers, such as libraries, public institutions, communities, and companies, publish and link heterogeneous resources. To support this heterogeneity, its format, RDF, allows to describe collections of items sharing some attributes but not necessarily all of them. This flexible framework leads to incompleteness and inconsistencies in information representation, which in turn leads to unreliable query results. In order to make their data reliable and usable, Linked Data producers need to provide the best level of completeness .
Revised: Knowledge Graphs (KG) are incomplete by design; they allow to merge and connect heterogeneous data despite their differences. Nevertheless, KG data producers need to provide the best level of completeness .
Edit intent: coherence
Original:  In order to make their data reliable and usable, Linked Data producers need to provide the best level of completeness . We propose a novel visualization tool"
Revised:  In order to make their data reliable and usable, Linked Data producers need to provide the best level of completeness , as far as possible. The difficulty is that they have no means to distinguish cases where incomplete entities could and should be fixed. We present a new visualisation tool:
Edit intent: meaning-changed
Original:  It relies on dimensional reduction techniques to create a mapof RDF entities based on missing paths, revealing clusters of entities missing the same paths. The novelty of our work consists in describing the entities of interest as vectors of aggregated RDF paths of a fixed length. We show that identifying groups of items sharing a similar structure helps users find the cause of incompleteness for entire groups and allows them to decide if and how it has to be resolved. We describe our iterative design process and evaluation with Wikidata contributors .
Revised:  It relies on a map, grouping entities according to their incomplete profile. The map is coordinated with histograms and stacked charts to support interactive exploration and analysis; the summary of a subset can be compared with the one of the full collection to reveal its distinctive features. We conduct an iterative design process and evaluation with Wikidata contributors .
Edit intent: clarity
Original:  Results: Here we quantify the complexity of the ecological relationships of the infant gut microbiota ecosystem as a function of the information contained in the non-linear associations of a sequence of increasingly-specified maximum entropy representations of the system.
Revised:  Here we quantify the complexity of the ecological relationships of the infant gut microbiota ecosystem as a function of the information contained in the non-linear associations of a sequence of increasingly-specified maximum entropy representations of the system.
Edit intent: fluency
Original:  Results: Here we quantify the complexity of the ecological relationships of the infant gut microbiota ecosystem as a function of the information contained in the non-linear associations of a sequence of increasingly-specified maximum entropy representations of the system.
Revised:  Results: Here we quantify the complexity of the ecological relationships within the human infant gut microbiota ecosystem as a function of the information contained in the non-linear associations of a sequence of increasingly-specified maximum entropy representations of the system.
Edit intent: meaning-changed
Original:  Results: Here we quantify the complexity of the ecological relationships of the infant gut microbiota ecosystem as a function of the information contained in the non-linear associations of a sequence of increasingly-specified maximum entropy representations of the system.
Revised:  Results: Here we quantify the complexity of the ecological relationships of the infant gut microbiota ecosystem as a function of the information contained in the nonlinear associations of a sequence of increasingly-specified maximum entropy representations of the system.
Edit intent: fluency
Original:  Our paradigm frames the ecological state  in terms of the presence or absence of an individual microbial taxonomic unit as a function of both the ecological states of its neighboring units and, departing from standard graphical model representations, the associations among the units within its neighborhood.
Revised:  Our paradigm frames the ecological state , in terms of the presence or absence of an individual microbial taxonomic unit as a function of both the ecological states of its neighboring units and, departing from standard graphical model representations, the associations among the units within its neighborhood.
Edit intent: fluency
Original:  Our paradigm frames the ecological state  in terms of the presence or absence of an individual microbial taxonomic unit as a function of both the ecological states of its neighboring units and, departing from standard graphical model representations, the associations among the units within its neighborhood.
Revised:  Our paradigm frames the ecological state in terms of the presence or absence of individual microbial ecological units that are identified by amplicon sequence variants (ASV) in the gut microenvironment, as a function of both the ecological states of its neighboring units and, departing from standard graphical model representations, the associations among the units within its neighborhood.
Edit intent: meaning-changed
Original:  Our paradigm frames the ecological state  in terms of the presence or absence of an individual microbial taxonomic unit as a function of both the ecological states of its neighboring units and, departing from standard graphical model representations, the associations among the units within its neighborhood.
Revised:  Our paradigm frames the ecological state in terms of the presence or absence of an individual microbial taxonomic unit as a function of both the ecological states of its neighboring units and, in a departure from standard graphical model representations, the associations among the units within its neighborhood.
Edit intent: clarity
Original:  We then perform  single cell and tissue simulations in presence of various combination of the mechanisms and applied stretch , in order to assess the relative significance of each mechanism in determining action potential duration, conduction velocity and rotor stability.
Revised:  We then perform computational simulations using single cell and tissue simulations in presence of various combination of the mechanisms and applied stretch , in order to assess the relative significance of each mechanism in determining action potential duration, conduction velocity and rotor stability.
Edit intent: meaning-changed
Original:  We then perform  single cell and tissue simulations in presence of various combination of the mechanisms and applied stretch , in order to assess the relative significance of each mechanism in determining action potential duration, conduction velocity and rotor stability.
Revised:  We then perform single cell and tissue models in presence of various combination of the mechanisms and applied stretch , in order to assess the relative significance of each mechanism in determining action potential duration, conduction velocity and rotor stability.
Edit intent: clarity
Original:  We then perform  single cell and tissue simulations in presence of various combination of the mechanisms and applied stretch , in order to assess the relative significance of each mechanism in determining action potential duration, conduction velocity and rotor stability.
Revised:  We then perform single cell and tissue simulations in presence of various stretch regimes and MEC pathways. This allows us to assess the relative significance of each mechanism in determining action potential duration, conduction velocity and rotor stability.
Edit intent: meaning-changed
Original:  We then perform  single cell and tissue simulations in presence of various combination of the mechanisms and applied stretch , in order to assess the relative significance of each mechanism in determining action potential duration, conduction velocity and rotor stability.
Revised:  We then perform single cell and tissue simulations in presence of various combination of the mechanisms and applied stretch , in order to assess the relative significance of each pathway in determining action potential duration, conduction velocity and rotor stability.
Edit intent: clarity
Original:  In the presence of  passive atrial stretch, stretch-activated channels play the largest role, leading to after-depolarizations and rotor hypermeandering  .
Revised:  In the presence of passive atrial stretch, stretch-activated channels play the largest role, leading to after-depolarizations and rotor hypermeandering . These findings suggest that physiological atrial stretches, such as passive stretch during the atrial reservoir phase, may play an important part in the mechanisms of atrial arrhythmogenesis .
Edit intent: meaning-changed
Original:  The increase of isolation (up to a lockdown) shows to be the best option to keep the situation under the healthcare system capacity, aside from ensuring a faster decrease of new case occurrences (months of difference), and a significantly smaller death toll (average of 79 ,000).
Revised:  The increase of isolation (up to a lockdown) shows to be the best option to keep the situation under the healthcare system capacity, aside from ensuring a faster decrease of new case occurrences (months of difference), and a significantly smaller death toll (average of 87 ,000).
Edit intent: meaning-changed
Original: Incidence - Cumulative Cases (ICC) curves are introduced and shown to provide a simple framework for parameter identification in the case of the most elementary epidemiological model, consisting of susceptible, infected, and removed compartments.
Revised: Incidence vs Cumulative Cases (ICC) curves are introduced and shown to provide a simple framework for parameter identification in the case of the most elementary epidemiological model, consisting of susceptible, infected, and removed compartments.
Edit intent: fluency