wanyu/IteraTeR_full_sent huggingface dataset:
Original:  We also consider practical implementation and explicitly incorporate known covariates , such as seasonality patterns and trends, which may explain some of the relationship between two insurance processes( or at least help tease out those relationships ).
Revised:  We also consider practical implementation and explicitly incorporate known covariates , such as seasonality patterns and trends, which may explain some of the relationship (dependence) between multiple claims processes, or at least help tease out those relationships ).
Edit intent: meaning-changed
Original:  We also consider practical implementation and explicitly incorporate known covariates , such as seasonality patterns and trends, which may explain some of the relationship between two insurance processes( or at least help tease out those relationships ). We develop a filtering algorithm based on the reversible-jump Markov Chain Monte Carlo (RJMCMC) method to estimate the unobservable stochastic intensities .
Revised:  We also consider practical implementation and explicitly incorporate known covariates , such as seasonality patterns and trends, which may explain some of the relationship between two insurance processes( or at least help tease out those relationships . Finally, we develop a filtering algorithm based on the reversible-jump Markov Chain Monte Carlo (RJMCMC) method to estimate the unobservable stochastic intensities .
Edit intent: coherence
Original:  We develop a filtering algorithm based on the reversible-jump Markov Chain Monte Carlo (RJMCMC) method to estimate the unobservable stochastic intensities . Model calibration is illustrated using real data from the AUSI data set.
Revised:  We develop a filtering algorithm based on the reversible-jump Markov Chain Monte Carlo (RJMCMC) method to estimate the latent stochastic intensities and illustrate model calibration using real data from the AUSI data set.
Edit intent: clarity
Original:  Also, the game-theoretic concepts of no-absentmindedness, perfect-information, and (pure-strategy) Nash-equilibrium are shown to be isomorphically invariant .
Revised:  For example, it is shown that isomorphisms preserve the game-theoretic concepts of no-absentmindedness, perfect-information, and (pure-strategy) Nash-equilibrium are shown to be isomorphically invariant .
Edit intent: meaning-changed
Original:  We consider some network descriptors based on these Mittaf-Leffler matrix functions which account for the "circulability" and "transmissibility" of the perturbations across the residues of a protein. We then apply this model and descriptors to the analysis of the communication effects produced by inhibitors of the main protease of COVID-19 . We find that the perturbation produced by strong inhibitors of the protease are propagated up to 60 \AA away from the binding site, confirming the long-range nature of intra-protein communication  .
Revised:  We then apply this model and descriptors to the analysis of the communication effects produced by inhibitors of the main protease of COVID-19 . We find that the perturbation produced by strong inhibitors of the protease are propagated up to 60 \AA away from the binding site, confirming the long-range nature of intra-protein communication .
Edit intent: clarity
Original:  We then apply this model and descriptors to the analysis of the communication effects produced by inhibitors of the main protease of COVID-19 . We find that the perturbation produced by strong inhibitors of the protease are propagated up to 60 \AA away from the binding site, confirming the long-range nature of intra-protein communication  .
Revised:  We then apply this model to the analysis of the communication effects produced by inhibitors of the main protease of COVID-19 . We find that the perturbation produced by strong inhibitors of the protease are propagated up to 60 \AA away from the binding site, confirming the long-range nature of intra-protein communication .
Edit intent: clarity
Original:  We then apply this model and descriptors to the analysis of the communication effects produced by inhibitors of the main protease of COVID-19 . We find that the perturbation produced by strong inhibitors of the protease are propagated up to 60 \AA away from the binding site, confirming the long-range nature of intra-protein communication  .
Revised:  We then apply this model and descriptors to the analysis of the propagation of perturbations produced by inhibitors of the main protease of COVID-19 . We find that the perturbation produced by strong inhibitors of the protease are propagated up to 60 \AA away from the binding site, confirming the long-range nature of intra-protein communication .
Edit intent: clarity
Original:  We then apply this model and descriptors to the analysis of the communication effects produced by inhibitors of the main protease of COVID-19 . We find that the perturbation produced by strong inhibitors of the protease are propagated up to 60 \AA away from the binding site, confirming the long-range nature of intra-protein communication  .
Revised:  We then apply this model and descriptors to the analysis of the communication effects produced by inhibitors of the main protease of SARS CoV-2 . We find that the perturbation produced by strong inhibitors of the protease are propagated up to 60 \AA away from the binding site, confirming the long-range nature of intra-protein communication .
Edit intent: meaning-changed
Original:  We then apply this model and descriptors to the analysis of the communication effects produced by inhibitors of the main protease of COVID-19 . We find that the perturbation produced by strong inhibitors of the protease are propagated up to 60 \AA away from the binding site, confirming the long-range nature of intra-protein communication  .
Revised:  We then apply this model and descriptors to the analysis of the communication effects produced by inhibitors of the main protease of COVID-19 . We find that the perturbations produced by strong inhibitors of the protease are propagated up to 60 \AA away from the binding site, confirming the long-range nature of intra-protein communication .
Edit intent: fluency
Original:  We then apply this model and descriptors to the analysis of the communication effects produced by inhibitors of the main protease of COVID-19 . We find that the perturbation produced by strong inhibitors of the protease are propagated up to 60 \AA away from the binding site, confirming the long-range nature of intra-protein communication  .
Revised:  We then apply this model and descriptors to the analysis of the communication effects produced by inhibitors of the main protease of COVID-19 . We find that the perturbation produced by strong inhibitors of the protease are propagated \AA away from the binding site, confirming the long-range nature of intra-protein communication .
Edit intent: meaning-changed
Original:  We then apply this model and descriptors to the analysis of the communication effects produced by inhibitors of the main protease of COVID-19 . We find that the perturbation produced by strong inhibitors of the protease are propagated up to 60 \AA away from the binding site, confirming the long-range nature of intra-protein communication  .
Revised:  We then apply this model and descriptors to the analysis of the communication effects produced by inhibitors of the main protease of COVID-19 . We find that the perturbation produced by strong inhibitors of the protease are propagated up to 60 far away from the binding site, confirming the long-range nature of intra-protein communication .
Edit intent: clarity
Original:  We then apply this model and descriptors to the analysis of the communication effects produced by inhibitors of the main protease of COVID-19 . We find that the perturbation produced by strong inhibitors of the protease are propagated up to 60 \AA away from the binding site, confirming the long-range nature of intra-protein communication  .
Revised:  We then apply this model and descriptors to the analysis of the communication effects produced by inhibitors of the main protease of COVID-19 . We find that the perturbation produced by strong inhibitors of the protease are propagated up to 60 \AA away from the binding site, confirming the long-range nature of intra-protein communication . On the contrary, the weakest inhibitors only transmit their perturbations across a close environment around the binding site .
Edit intent: meaning-changed
Original:  The model provides baseline estimates of the number of death registrations expected in the absence of the COVID-19 pandemic, and comparing the baselines to actual counts of recently registered deaths reveals the emergence of excess deaths late in March 2020.
Revised:  The model provides baseline rates of death registrations expected in the absence of the COVID-19 pandemic, and comparing the baselines to actual counts of recently registered deaths reveals the emergence of excess deaths late in March 2020.
Edit intent: clarity
Original:  The model provides baseline estimates of the number of death registrations expected in the absence of the COVID-19 pandemic, and comparing the baselines to actual counts of recently registered deaths reveals the emergence of excess deaths late in March 2020.
Revised:  The model provides baseline estimates of the number of death registrations expected in the absence of the COVID-19 pandemic, and comparing the baselines to recent counts of registered deaths reveals the emergence of excess deaths late in March 2020.
Edit intent: clarity
Original:  Those estimates are larger than the ONS's respective counts of 531, 3432, and 6139 COVID-19-associated deaths  , implying that the ONS's counts underestimate rather than overestimate the true death toll.
Revised:  The ONS's respective counts of 531, 3432, and 6139 COVID-19-associated deaths , implying that the ONS's counts underestimate rather than overestimate the true death toll.
Edit intent: clarity
Original:  Those estimates are larger than the ONS's respective counts of 531, 3432, and 6139 COVID-19-associated deaths  , implying that the ONS's counts underestimate rather than overestimate the true death toll.
Revised:  Those estimates are larger than the ONS's respective counts of 531, 3432, and 6139 COVID-19-associated deaths are appreciably lower , implying that the ONS's counts underestimate rather than overestimate the true death toll.
Edit intent: meaning-changed
Original:  The model provides baseline rates of death registrations expected in the absence of the COVID-19 pandemic, and comparing the baselines to recent counts of registered deaths reveals the emergence of excess deaths late in March 2020.
Revised:  The model provides baseline rates of death registrations expected in the absence of the COVID-19 pandemic, and comparing the baselines to recent counts of registered deaths exposes the emergence of excess deaths late in March 2020.
Edit intent: clarity
Original:  I estimate that, among people aged 45+, 610%DIFDELCMD < \pm %%% 405 excess deaths were registered from 21 March through 27 March, 5689 \pm 420 excess deaths from \pm  28 March through 3 April, and 9374 \pm 470 excess deaths from 4-10 April .
Revised:  I estimate that, among adults aged 45+, 610%DIFDELCMD < \pm %%% 405 excess deaths were registered from 21 March through 27 March, 5689 \pm 420 excess deaths from \pm 28 March through 3 April, and 9374 \pm 470 excess deaths from 4-10 April .
Edit intent: clarity
Original:  I estimate that, among people aged 45+, 610%DIFDELCMD < \pm %%% 405 excess deaths were registered from 21 March through 27 March, 5689 \pm 420 excess deaths from \pm  28 March through 3 April, and 9374 \pm 470 excess deaths from 4-10 April .
Revised:  I estimate that, among people aged 45+, %DIFDELCMD < \pm %%% 405 excess deaths were registered from 21 March through 27 March, 5689 \pm 420 excess deaths from \pm 28 March through 3 April, and 9374 \pm 470 excess deaths from 4-10 April .
Edit intent: style
Original:  I estimate that, among people aged 45+, 610%DIFDELCMD < \pm %%% 405 excess deaths were registered from 21 March through 27 March, 5689 \pm 420 excess deaths from \pm  28 March through 3 April, and 9374 \pm 470 excess deaths from 4-10 April .
Revised:  I estimate that, among people aged 45+, 610%DIFDELCMD < \pm %%% about 28,000 excess deaths were registered from 21 March through 27 March, 5689 \pm 420 excess deaths from \pm 28 March through 3 April, and 9374 \pm 470 excess deaths from 4-10 April .
Edit intent: meaning-changed
Original:  I estimate that, among people aged 45+, 610%DIFDELCMD < \pm %%% 405 excess deaths were registered from 21 March through 27 March, 5689 \pm 420 excess deaths from \pm  28 March through 3 April, and 9374 \pm 470 excess deaths from 4-10 April .
Revised:  I estimate that, among people aged 45+, 610%DIFDELCMD < \pm %%% 405 excess deaths were registered in the 4 weeks comprising 21 March through 27 March, 5689 \pm 420 excess deaths from \pm 28 March through 3 April, and 9374 \pm 470 excess deaths from 4-10 April .
Edit intent: meaning-changed
Original:  I estimate that, among people aged 45+, 610%DIFDELCMD < \pm %%% 405 excess deaths were registered from 21 March through 27 March, 5689 \pm 420 excess deaths from \pm  28 March through 3 April, and 9374 \pm 470 excess deaths from 4-10 April .
Revised:  I estimate that, among people aged 45+, 610%DIFDELCMD < \pm %%% 405 excess deaths were registered from 21 March through 17 April (612 \pm 420 excess deaths from \pm 28 March through 3 April, and 9374 \pm 470 excess deaths from 4-10 April .
Edit intent: meaning-changed
Original:  I estimate that, among people aged 45+, 610%DIFDELCMD < \pm %%% 405 excess deaths were registered from 21 March through 27 March, 5689 \pm 420 excess deaths from \pm  28 March through 3 April, and 9374 \pm 470 excess deaths from 4-10 April .
Revised:  I estimate that, among people aged 45+, 610%DIFDELCMD < \pm %%% 405 excess deaths were registered from 21 March through 27 March, 5689 \pm 416 from \pm 28 March through 3 April, and 9374 \pm 470 excess deaths from 4-10 April .
Edit intent: meaning-changed
Original:  I estimate that, among people aged 45+, 610%DIFDELCMD < \pm %%% 405 excess deaths were registered from 21 March through 27 March, 5689 \pm 420 excess deaths from \pm  28 March through 3 April, and 9374 \pm 470 excess deaths from 4-10 April .
Revised:  I estimate that, among people aged 45+, 610%DIFDELCMD < \pm %%% 405 excess deaths were registered from 21 March through 27 March, 5689 \pm 420 excess deaths from 21-27 March, 5675\pm 28 March through 3 April, and 9374 \pm 470 excess deaths from 4-10 April .
Edit intent: meaning-changed
Original:  I estimate that, among people aged 45+, 610%DIFDELCMD < \pm %%% 405 excess deaths were registered from 21 March through 27 March, 5689 \pm 420 excess deaths from \pm  28 March through 3 April, and 9374 \pm 470 excess deaths from 4-10 April .
Revised:  I estimate that, among people aged 45+, 610%DIFDELCMD < \pm %%% 405 excess deaths were registered from 21 March through 27 March, 5689 \pm 420 excess deaths from \pm 439 from 28 March through 3 April, and 9374 \pm 470 excess deaths from 4-10 April .
Edit intent: meaning-changed
Original:  I estimate that, among people aged 45+, 610%DIFDELCMD < \pm %%% 405 excess deaths were registered from 21 March through 27 March, 5689 \pm 420 excess deaths from \pm  28 March through 3 April, and 9374 \pm 470 excess deaths from 4-10 April .
Revised:  I estimate that, among people aged 45+, 610%DIFDELCMD < \pm %%% 405 excess deaths were registered from 21 March through 27 March, 5689 \pm 420 excess deaths from \pm 28 March through 3 April, 9183 \pm 470 excess deaths from 4-10 April .
Edit intent: meaning-changed
Original:  I estimate that, among people aged 45+, 610%DIFDELCMD < \pm %%% 405 excess deaths were registered from 21 March through 27 March, 5689 \pm 420 excess deaths from \pm  28 March through 3 April, and 9374 \pm 470 excess deaths from 4-10 April .
Revised:  I estimate that, among people aged 45+, 610%DIFDELCMD < \pm %%% 405 excess deaths were registered from 21 March through 27 March, 5689 \pm 420 excess deaths from \pm 28 March through 3 April, and 9374 \pm 468 from 4-10 April .
Edit intent: meaning-changed
Original:  I estimate that, among people aged 45+, 610%DIFDELCMD < \pm %%% 405 excess deaths were registered from 21 March through 27 March, 5689 \pm 420 excess deaths from \pm  28 March through 3 April, and 9374 \pm 470 excess deaths from 4-10 April . The ONS\pm  's respective counts of 531,3432, and 6139 COVID-19-associated deaths are appreciably lower, implying that the ONS's counts underestimate rather than overestimate the true death toll.
Revised:  I estimate that, among people aged 45+, 610%DIFDELCMD < \pm %%% 405 excess deaths were registered from 21 March through 27 March, 5689 \pm 420 excess deaths from \pm 28 March through 3 April, and 9374 \pm 470 excess deaths from 4-10 April , and 12,712\pm 's respective counts of 531,3432, and 6139 COVID-19-associated deaths are appreciably lower, implying that the ONS's counts underestimate rather than overestimate the true death toll.
Edit intent: meaning-changed
Original:  The ONS\pm  's respective counts of 531,3432, and 6139 COVID-19-associated deaths are appreciably lower, implying that the ONS's counts underestimate rather than overestimate the true death toll.
Revised:  The ONS\pm 589 from 11-17 April). Both the Office for National Statistics 's respective counts of 531,3432, and 6139 COVID-19-associated deaths are appreciably lower, implying that the ONS's counts underestimate rather than overestimate the true death toll.
Edit intent: meaning-changed
Original:  The ONS\pm  's respective counts of 531,3432, and 6139 COVID-19-associated deaths are appreciably lower, implying that the ONS's counts underestimate rather than overestimate the true death toll. The Department of Health and Social Care's counts of in-hospital COVID-19-associated deaths over the same period are even lower, signalling more severe undercounting .
Revised:  The ONS\pm 's respective count of 18,757 death certificates which mention COVID-19, and the Department of Health and Social Care's counts of in-hospital COVID-19-associated deaths over the same period are even lower, signalling more severe undercounting .
Edit intent: meaning-changed
Original:  The model provides baseline rates of death registrations expected in the absence of the COVID-19 pandemic, and comparing the baselines to recent counts of registered deaths exposes the emergence of excess deaths late in March 2020.
Revised:  The model produces baseline rates of death registrations expected in the absence of the COVID-19 pandemic, and comparing the baselines to recent counts of registered deaths exposes the emergence of excess deaths late in March 2020.
Edit intent: clarity
Original:  The model provides baseline rates of death registrations expected in the absence of the COVID-19 pandemic, and comparing the baselines to recent counts of registered deaths exposes the emergence of excess deaths late in March 2020.
Revised:  The model provides baseline rates of death registrations expected in the absence of the COVID-19 pandemic, and comparing those baselines to recent counts of registered deaths exposes the emergence of excess deaths late in March 2020.
Edit intent: clarity
Original:  I estimate that, among adults aged 45+, about 28,000 excess deaths were registered in the 4 weeks comprising 21 March through 17 April (612 \pm 416 from 21-27 March, 5675 \pm 439 from 28 March through 3 April,  9183 \pm 468 from 4-10 April, and 12,712 \pm 589 from 11-17 April\pm  ).
Revised:  Among adults aged 45+, about 28,000 excess deaths were registered in the 4 weeks comprising 21 March through 17 April (612 \pm 416 from 21-27 March, 5675 \pm 439 from 28 March through 3 April, 9183 \pm 468 from 4-10 April, and 12,712 \pm 589 from 11-17 April\pm ).
Edit intent: clarity
Original:  I estimate that, among adults aged 45+, about 28,000 excess deaths were registered in the 4 weeks comprising 21 March through 17 April (612 \pm 416 from 21-27 March, 5675 \pm 439 from 28 March through 3 April,  9183 \pm 468 from 4-10 April, and 12,712 \pm 589 from 11-17 April\pm  ).
Revised:  I estimate that, among adults aged 45+, about 38,700 excess deaths were registered in the 4 weeks comprising 21 March through 17 April (612 \pm 416 from 21-27 March, 5675 \pm 439 from 28 March through 3 April, 9183 \pm 468 from 4-10 April, and 12,712 \pm 589 from 11-17 April\pm ).
Edit intent: meaning-changed
Original:  I estimate that, among adults aged 45+, about 28,000 excess deaths were registered in the 4 weeks comprising 21 March through 17 April (612 \pm 416 from 21-27 March, 5675 \pm 439 from 28 March through 3 April,  9183 \pm 468 from 4-10 April, and 12,712 \pm 589 from 11-17 April\pm  ).
Revised:  I estimate that, among adults aged 45+, about 28,000 excess deaths were registered in the 5 weeks comprising 21 March through 17 April (612 \pm 416 from 21-27 March, 5675 \pm 439 from 28 March through 3 April, 9183 \pm 468 from 4-10 April, and 12,712 \pm 589 from 11-17 April\pm ).
Edit intent: meaning-changed
Original:  I estimate that, among adults aged 45+, about 28,000 excess deaths were registered in the 4 weeks comprising 21 March through 17 April (612 \pm 416 from 21-27 March, 5675 \pm 439 from 28 March through 3 April,  9183 \pm 468 from 4-10 April, and 12,712 \pm 589 from 11-17 April\pm  ).
Revised:  I estimate that, among adults aged 45+, about 28,000 excess deaths were registered in the 4 weeks comprising 21 March through 24 April (612 \pm 416 from 21-27 March, 5675 \pm 439 from 28 March through 3 April, 9183 \pm 468 from 4-10 April, and 12,712 \pm 589 from 11-17 April\pm ).
Edit intent: meaning-changed
Original:  I estimate that, among adults aged 45+, about 28,000 excess deaths were registered in the 4 weeks comprising 21 March through 17 April (612 \pm 416 from 21-27 March, 5675 \pm 439 from 28 March through 3 April,  9183 \pm 468 from 4-10 April, and 12,712 \pm 589 from 11-17 April\pm  ).
Revised:  I estimate that, among adults aged 45+, about 28,000 excess deaths were registered in the 4 weeks comprising 21 March through 17 April (612 \pm 416 from 21-27 March, 5675 \pm 439 from 28 March through 3 April, then 9183 \pm 468 from 4-10 April, and 12,712 \pm 589 from 11-17 April\pm ).
Edit intent: coherence
Original:  I estimate that, among adults aged 45+, about 28,000 excess deaths were registered in the 4 weeks comprising 21 March through 17 April (612 \pm 416 from 21-27 March, 5675 \pm 439 from 28 March through 3 April,  9183 \pm 468 from 4-10 April, and 12,712 \pm 589 from 11-17 April\pm  ).
Revised:  I estimate that, among adults aged 45+, about 28,000 excess deaths were registered in the 4 weeks comprising 21 March through 17 April (612 \pm 416 from 21-27 March, 5675 \pm 439 from 28 March through 3 April, 9183 \pm 468 , 12,712 \pm 589 from 11-17 April\pm ).
Edit intent: meaning-changed
Original:  I estimate that, among adults aged 45+, about 28,000 excess deaths were registered in the 4 weeks comprising 21 March through 17 April (612 \pm 416 from 21-27 March, 5675 \pm 439 from 28 March through 3 April,  9183 \pm 468 from 4-10 April, and 12,712 \pm 589 from 11-17 April\pm  ).
Revised:  I estimate that, among adults aged 45+, about 28,000 excess deaths were registered in the 4 weeks comprising 21 March through 17 April (612 \pm 416 from 21-27 March, 5675 \pm 439 from 28 March through 3 April, 9183 \pm 468 from 4-10 April, and 12,712 \pm 589 , and 10,511\pm ).
Edit intent: meaning-changed
Original:  I estimate that, among adults aged 45+, about 28,000 excess deaths were registered in the 4 weeks comprising 21 March through 17 April (612 \pm 416 from 21-27 March, 5675 \pm 439 from 28 March through 3 April,  9183 \pm 468 from 4-10 April, and 12,712 \pm 589 from 11-17 April\pm  ).
Revised:  I estimate that, among adults aged 45+, about 28,000 excess deaths were registered in the 4 weeks comprising 21 March through 17 April (612 \pm 416 from 21-27 March, 5675 \pm 439 from 28 March through 3 April, 9183 \pm 468 from 4-10 April, and 12,712 \pm 589 from 11-17 April\pm 567 in April's next 3 weeks ).
Edit intent: meaning-changed