wanyu/IteraTeR_full_sent huggingface dataset:
Original:  The most successful containment policyreaches the lowest s factor, the characteristic time of the exponential growing doubling time in the arrested regime . South Korea, China, Italy and USA have reacheds= 5 , 6, 10, 18 respectively. The results clearly show that LFT containment policy has been able to reduce both the intensity and time width of the Covid-19 pandemic dome achieving both a low number of deaths and low economic losses .
Revised:  The most successful containment policyreaches the lowest s factor, the characteristic time of the exponential growing doubling time in the arrested regime . South Korea, China, Italy and USA have reacheds= 5 , was reached by LFT policy also the lowest number of deaths and the shorter time width of the epidemic dome was reached. The record for the largest number of deaths is correlated with the largest s factor in the near threshold regime where no containment measures were taken in time. LFT policy has been able to reduce both the intensity and time width of the Covid-19 pandemic dome achieving both a low number of deaths and low economic losses .
Edit intent: meaning-changed
Original: While containment policies of the Covid-19 epidemic have been applied in different countries, a comparative quantitative measure of the efficiency of these policies is not available .
Revised: While containment policies of the Covid-19 epidemic of the novel coronavirus (severe acute respiratory syndrome SARS - CoV-2) has been spreading around the world. While different containment policies using non-pharmaceutical interventions have been applied in different countries, a comparative quantitative measure of the efficiency of these policies is not available .
Edit intent: meaning-changed
Original:  We show here that the time evolution of the pandemic doubling time Td(t)  is a reliable  measure of the  efficiency of the Lockdown, case Finding , mobile Tracing (LFT) policy using modern technologies versus the traditional Lockdown Stop and Go (LSG) policy .
Revised:  We show that the doubling time Td(t) with the success s factor, the characteristic time of the exponential growth of Td(t) is a reliable measure of the efficiency of the Lockdown, case Finding , mobile Tracing (LFT) policy using modern technologies versus the traditional Lockdown Stop and Go (LSG) policy .
Edit intent: meaning-changed
Original:  We show here that the time evolution of the pandemic doubling time Td(t)  is a reliable  measure of the  efficiency of the Lockdown, case Finding , mobile Tracing (LFT) policy using modern technologies versus the traditional Lockdown Stop and Go (LSG) policy .
Revised:  We show here that the time evolution of the pandemic doubling time Td(t) in the arrested regime, is a reliable measure of the efficiency of the Lockdown, case Finding , mobile Tracing (LFT) policy using modern technologies versus the traditional Lockdown Stop and Go (LSG) policy .
Edit intent: meaning-changed
Original:  We show here that the time evolution of the pandemic doubling time Td(t)  is a reliable  measure of the  efficiency of the Lockdown, case Finding , mobile Tracing (LFT) policy using modern technologies versus the traditional Lockdown Stop and Go (LSG) policy .
Revised:  We show here that the time evolution of the pandemic doubling time Td(t) is a reliable tool for early predictions of epidemic spread time evolution and it provides a quantitative measure of the efficiency of the Lockdown, case Finding , mobile Tracing (LFT) policy using modern technologies versus the traditional Lockdown Stop and Go (LSG) policy .
Edit intent: meaning-changed
Original:  We show here that the time evolution of the pandemic doubling time Td(t)  is a reliable  measure of the  efficiency of the Lockdown, case Finding , mobile Tracing (LFT) policy using modern technologies versus the traditional Lockdown Stop and Go (LSG) policy .
Revised:  We show here that the time evolution of the pandemic doubling time Td(t) is a reliable measure of the success of different containment measures. The efficiency of the Lockdown, case Finding , mobile Tracing (LFT) policy using modern technologies versus the traditional Lockdown Stop and Go (LSG) policy .
Edit intent: meaning-changed
Original:  We show here that the time evolution of the pandemic doubling time Td(t)  is a reliable  measure of the  efficiency of the Lockdown, case Finding , mobile Tracing (LFT) policy using modern technologies versus the traditional Lockdown Stop and Go (LSG) policy .
Revised:  We show here that the time evolution of the pandemic doubling time Td(t) is a reliable measure of the efficiency of the containment policy Lockdown case Finding mobile Tracing (LFT) policy using modern technologies versus the traditional Lockdown Stop and Go (LSG) policy .
Edit intent: meaning-changed
Original:  We show here that the time evolution of the pandemic doubling time Td(t)  is a reliable  measure of the  efficiency of the Lockdown, case Finding , mobile Tracing (LFT) policy using modern technologies versus the traditional Lockdown Stop and Go (LSG) policy .
Revised:  We show here that the time evolution of the pandemic doubling time Td(t) is a reliable measure of the efficiency of the Lockdown, case Finding , mobile Tracing (LFT) using mandatory mobile contact tracing is much higher than the Lockdown Stop and Go (LSG) policy .
Edit intent: meaning-changed
Original:  We show here that the time evolution of the pandemic doubling time Td(t)  is a reliable  measure of the  efficiency of the Lockdown, case Finding , mobile Tracing (LFT) policy using modern technologies versus the traditional Lockdown Stop and Go (LSG) policy . This goal has been achieved to verify by extracting the time evolution of the doubling time Td(t). The results provide a quantitative measure and make possible predictions on the time evolution of epidemic for different containment policy. Where the lowest s factor , the characteristic time of the exponential growing Td(t) in the arrested regime, was reached by LFT policy also the lowest number of deaths and the shorter time width of the epidemic dome was reached.
Revised:  We show here that the time evolution of the pandemic doubling time Td(t) is a reliable measure of the efficiency of the Lockdown, case Finding , mobile Tracing (LFT) policy using modern technologies versus the traditional Lockdown Stop and Go (LSG) policy proposed by the Imperial College team in London. A very low s factor was reached by LFT policy also the lowest number of deaths and the shorter time width of the epidemic dome was reached.
Edit intent: meaning-changed
Original:  Where the lowest s factor , the characteristic time of the exponential growing Td(t) in the arrested regime, was reached by LFT policy also the lowest number of deaths and the shorter time width of the epidemic dome was reached.
Revised:  Where the lowest s factor , the characteristic time of the exponential growing Td(t) in the arrested regime, was reached by LFT policy giving the shortest time width of the epidemic dome was reached.
Edit intent: clarity
Original:  Where the lowest s factor , the characteristic time of the exponential growing Td(t) in the arrested regime, was reached by LFT policy also the lowest number of deaths and the shorter time width of the epidemic dome was reached. The record for the largest number of deaths is correlated with the largest s factor in the near threshold regime where no containment measures were taken in time.
Revised:  Where the lowest s factor , the characteristic time of the exponential growing Td(t) in the arrested regime, was reached by LFT policy also the lowest number of deaths and the shorter time width of the dome of positive case curve and the lowest number of fatalities. The
Edit intent: meaning-changed
Original:  LFT policy has been able to reduce both the intensity and time width of the Covid-19 pandemic dome achieving both a low number of deaths and low economic losses
Revised:  LFT policy has been able to reduce by a factor 100 the number of fatalities in the first 100 days of the Covid-19 epidemic, to reduce the time width of the Covid-19 pandemic dome achieving both a low number of deaths and low economic losses
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Original:  In this paper we estimate the lower bound for the global energy cost for a period of ten years from 2010 to 2020 , taking into account changing oil costs, improvements in hashing technologies and hashing activity.
Revised:  In this paper we estimate the lower bound for the global energy cost for a period of ten years from 2010 , taking into account changing oil costs, improvements in hashing technologies and hashing activity.
Edit intent: clarity
Original:  Despite a ten-billion-fold increase in hashing activity and a ten-million-fold increase in total energy consumption, we find the mining cost relative to the volume of transactions has not increased nor decreased since 2010.
Revised:  Despite a ten-billion-fold increase in hashing activity and a ten-million-fold increase in total energy consumption, we find the cost relative to the volume of transactions has not increased nor decreased since 2010.
Edit intent: clarity
Original:  This is consistent with the perspective that the proof of work must cost a sizable fraction of the value that can be transferred through the network in order to keep the Blockchain system secure from double spending attacks .
Revised:  This is consistent with the perspective that , in order to keep a the Blockchain system secure from double spending attacks, the proof or work must cost a sizable fraction of the value that can be transferred through the network in order to keep the Blockchain system secure from double spending attacks .
Edit intent: clarity
Original:  The decision for choosing an upcoming saccade target can be framed as a dilemma : Should the observer further exploit the information near the current gaze position  or continue with exploration of other patches within the given scene ?
Revised:  The decision for choosing an upcoming saccade target can be framed as a selection process between two states : Should the observer further exploit the information near the current gaze position or continue with exploration of other patches within the given scene ?
Edit intent: clarity
Original:  The decision for choosing an upcoming saccade target can be framed as a dilemma : Should the observer further exploit the information near the current gaze position  or continue with exploration of other patches within the given scene ?
Revised:  The decision for choosing an upcoming saccade target can be framed as a dilemma : Should the observer further inspect the information near the current gaze position or continue with exploration of other patches within the given scene ?
Edit intent: clarity
Original:  The decision for choosing an upcoming saccade target can be framed as a dilemma : Should the observer further exploit the information near the current gaze position  or continue with exploration of other patches within the given scene ?
Revised:  The decision for choosing an upcoming saccade target can be framed as a dilemma : Should the observer further exploit the information near the current gaze position (local attention) or continue with exploration of other patches within the given scene ?
Edit intent: meaning-changed
Original:  The decision for choosing an upcoming saccade target can be framed as a dilemma : Should the observer further exploit the information near the current gaze position  or continue with exploration of other patches within the given scene ?
Revised:  The decision for choosing an upcoming saccade target can be framed as a dilemma : Should the observer further exploit the information near the current gaze position or continue with exploration of other patches of the given scene ?
Edit intent: clarity
Original:  The decision for choosing an upcoming saccade target can be framed as a dilemma : Should the observer further exploit the information near the current gaze position  or continue with exploration of other patches within the given scene ? While several models attempt to describe the dynamics of saccade target selection, none of them explicitly addresses the underlying Exploration--Exploitation dilemma.
Revised:  The decision for choosing an upcoming saccade target can be framed as a dilemma : Should the observer further exploit the information near the current gaze position or continue with exploration of other patches within the given scene (global attention)?
Edit intent: meaning-changed
Original: A recent model developed at the Institute for Health Metrics and Evaluation (IHME) provides forecasts for ventilator use and hospital beds required for the care of COVID19 patients on a state-by-state basis throughout the United States over the period March 2020 through August 2020.
Revised: This paper provides a formal evaluation of the predictive performance of a model (and its various updates) developed by the Institute for Health Metrics and Evaluation (IHME) provides forecasts for ventilator use and hospital beds required for the care of COVID19 patients on a state-by-state basis throughout the United States over the period March 2020 through August 2020.
Edit intent: meaning-changed
Original: A recent model developed at the Institute for Health Metrics and Evaluation (IHME) provides forecasts for ventilator use and hospital beds required for the care of COVID19 patients on a state-by-state basis throughout the United States over the period March 2020 through August 2020.
Revised: A recent model developed at the Institute for Health Metrics and Evaluation (IHME) for predicting daily deaths attributed to COVID19 for each state in the United States. The IHME models have received extensive attention in social and mass media, and have influenced policy makers at the highest levels of the care of COVID19 patients on a state-by-state basis throughout the United States over the period March 2020 through August 2020.
Edit intent: meaning-changed
Original: A recent model developed at the Institute for Health Metrics and Evaluation (IHME) provides forecasts for ventilator use and hospital beds required for the care of COVID19 patients on a state-by-state basis throughout the United States over the period March 2020 through August 2020.
Revised: A recent model developed at the Institute for Health Metrics and Evaluation (IHME) provides forecasts for ventilator use and hospital beds required for the United States over the period March 2020 through August 2020.
Edit intent: clarity
Original: A recent model developed at the Institute for Health Metrics and Evaluation (IHME) provides forecasts for ventilator use and hospital beds required for the care of COVID19 patients on a state-by-state basis throughout the United States over the period March 2020 through August 2020. In addition, the manuscript and associated website provide projections of deaths per day and total deaths throughout this period for the entire US, as well as for the District of Columbia.
Revised: A recent model developed at the Institute for Health Metrics and Evaluation (IHME) provides forecasts for ventilator use and hospital beds required for the care of COVID19 patients on a state-by-state basis throughout the United States government. For effective policy making the accurate assessment of uncertainty, as well as accurate point predictions, are necessary because the risks inherent in a decision must be taken into account, especially in the present setting of a novel disease affecting millions of lives. To assess the accuracy of the IHME models, we examine both forecast accuracy as well as for the District of Columbia.
Edit intent: clarity
Original:  In addition, the manuscript and associated website provide projections of deaths per day and total deaths throughout this period for the entire US, as well as for the District of Columbia. Our goal in this report is to provide a framework for evaluating the predictive validity of model forecasts for COVID19 outcomes as data become sequentially available, using the IHME prediction of daily deaths as an example.
Revised:  In addition, the manuscript and associated website provide projections of deaths per day and total deaths throughout this period for the entire US, as well as the predictive performance of the 95\% prediction intervals provided by the IHME models. We find that the initial IHME model underestimates the uncertainty surrounding the number of daily deaths as an example.
Edit intent: meaning-changed
Original:  Our goal in this report is to provide a framework for evaluating the predictive validity of model forecasts for COVID19 outcomes as data become sequentially available, using the IHME prediction of daily deaths as an example. Given our goal is to provide an evaluation framework, we treat the IHME model as a black box and examine the projected numbers of deaths per day in light of the ground truth to help begin to understand the predictive accuracy of the model .
Revised:  Our goal in this report is to provide a framework for evaluating the predictive validity of model forecasts for COVID19 outcomes as data become sequentially available, using the IHME prediction of daily deaths substantially. Specifically, the true number of next day deaths fell outside the IHME prediction intervals as much as 70\% of the time, in comparison to the expected value of 5\%. In addition, we note that the performance of the initial model does not improve with shorter forecast horizons. Regarding the updated models, our analyses indicate that the later models do not show any improvement in the accuracy of the point estimate predictions. In fact, there is some evidence that this accuracy has actually decreased over the initial models. Moreover, when considering the updated models, while we observe a larger percentage of states having actual values lying inside the 95\% prediction intervals (PI), our analysis suggests that this observation may be attributed to the widening of the PIs. The width of these intervals calls into question the usefulness of the predictions to drive policy making and resource allocation .
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Original:  Conclusion: With appropriate measures, the number of active cases in Portugal can be controlled at about 13 ,000 people, of which about 2,300 hospitalized and 500-750 in ICU units.
Revised:  Conclusion: With appropriate measures, the number of active cases in Portugal can be controlled at about 22 ,000 people, of which about 2,300 hospitalized and 500-750 in ICU units.
Edit intent: meaning-changed
Original:  Conclusion: With appropriate measures, the number of active cases in Portugal can be controlled at about 13 ,000 people, of which about 2,300 hospitalized and 500-750 in ICU units.
Revised:  Conclusion: With appropriate measures, the number of active cases in Portugal can be controlled at about 13 ,000 people, of which about 1,250 hospitalized and 200/300 in ICU units.
Edit intent: meaning-changed
Original: Even as public data repositories such as The Cancer Imaging Archive (TCIA) have enabled development of new radiomics and machine learning schemes , a key concern remains the generalizability of these methods to unseen datasets.
Revised: We sought to develop a quantitative tool to quickly determine relative differences in MRI volumes both within and between large MR imaging cohorts (such as available in The Cancer Imaging Archive (TCIA) have enabled development of new radiomics and machine learning schemes , a key concern remains the generalizability of these methods to unseen datasets.
Edit intent: meaning-changed
Original: Even as public data repositories such as The Cancer Imaging Archive (TCIA) have enabled development of new radiomics and machine learning schemes , a key concern remains the generalizability of these methods to unseen datasets.
Revised: Even as public data repositories such as The Cancer Imaging Archive (TCIA) ), in order to help determine the generalizability of radiomics and machine learning schemes , a key concern remains the generalizability of these methods to unseen datasets.
Edit intent: meaning-changed
Original:  For MRI datasets, model performance could be impacted by (a) site- or scanner-specific variations in image resolution, field-of-view, or image contrast, or (b) presence of imaging artifacts such as noise, motion, inhomogeneity, ringing, or aliasing;
Revised:  The tool is intended to help quantify presence of (a) site- or scanner-specific variations in image resolution, field-of-view, or image contrast, or (b) presence of imaging artifacts such as noise, motion, inhomogeneity, ringing, or aliasing;
Edit intent: clarity
Original:  For MRI datasets, model performance could be impacted by (a) site- or scanner-specific variations in image resolution, field-of-view, or image contrast, or (b) presence of imaging artifacts such as noise, motion, inhomogeneity, ringing, or aliasing;
Revised:  For MRI datasets, model performance could be impacted by (a) site- or scanner-specific variations in image resolution, field-of-view, or image contrast, or (b) imaging artifacts such as noise, motion, inhomogeneity, ringing, or aliasing;
Edit intent: clarity
Original:  MRQy is designed to be a standalone, unsupervised tool that can be efficiently run on a standard desktop computer. It has been made freely accessible at URL for wider community use and feedback. MRQy was used to evaluate (a) n=133 brain MRIs from TCIA (7 sites), and (b) n=104 rectal MRIs (3 local sites).
Revised:  MRQy was used to evaluate (a) n=133 brain MRIs from TCIA (7 sites), and (b) n=104 rectal MRIs (3 local sites).
Edit intent: coherence
Original:  Marked differences in specific MRQy measures were also able to identify  MRI datasets that needed to be corrected for common MR imaging artifacts  .
Revised:  Marked differences in specific MRQy measures were also able to identify MRI datasets that needed to be corrected for common MR imaging artifacts . MRQy is designed to be a standalone, unsupervised tool that can be efficiently run on a standard desktop computer. It has been made freely accessible at URL for wider community use and feedback .
Edit intent: meaning-changed
Original:   Our results emphasize the importance of intrinsic cellular replication processes in this problem, suggesting different distribution trends for bacteria and eukaryotes.
Revised:  Finally, we numerically show the range of validity of the scale invariance over various characteristic times of the starvation process, revealing the number of multifork replications is crucial for the scale invariance. Our results emphasize the importance of intrinsic cellular replication processes in this problem, suggesting different distribution trends for bacteria and eukaryotes.
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Original:  Here we show, using E. coli, that the scaling concept also emerges with respect to cell size fluctuations under abrupt starvation, even though the distribution changes with time.
Revised:  Here , by developing a novel microfluidic device and using E. coli, that the scaling concept also emerges with respect to cell size fluctuations under abrupt starvation, even though the distribution changes with time.
Edit intent: meaning-changed
Original:  Here we show, using E. coli, that the scaling concept also emerges with respect to cell size fluctuations under abrupt starvation, even though the distribution changes with time. We develop a microfluidic device for observing dense and large bacterial populations, under uniform and switchable conditions. Triggering bacterial reductive division by abruptly switching to non-nutritious medium, we find that the cell size distribution changes in a specific manner that keeps its normalized form unchanged;
Revised:  Here we show, using E. coli, that the scaling concept also emerges with respect to cell size fluctuations against starvation. By abruptly switching to non-nutritious medium, we find that the cell size distribution changes in a specific manner that keeps its normalized form unchanged;
Edit intent: clarity