wanyu/IteraTeR_full_sent huggingface dataset:
Original:  The results here suggest that a coordinated nationwide stay-at-home order may have reduced by hundreds of thousands the current number of infections and by tens of thousands the total number of deaths from COVID-19. Future efforts in the United States and elsewhere to control pandemics should coordinate stay-at-home orders at the national level,especially for diseases for which local spread has already occurred and testing availability is delayed .
Revised:  The results here suggest that a coordinated nationwide stay-at-home orders reduced confirmed cases by 390,000 (170,000 to 680,000) and fatalities by 41,000 (27,000 to 59,000) within the first three weeks in localities where they were implemented .
Edit intent: meaning-changed
Original:  Electroencephalogram (EEG) is the most frequently used input signal in BCIs . However, EEG signals are weak, easily contaminated by interferences and noise, non-stationary for the same subject, and varying among different subjects .
Revised:  Electroencephalograms (EEGs) used in BCIs are weak, easily contaminated by interferences and noise, non-stationary for the same subject, and varying among different subjects .
Edit intent: clarity
Original:  Electroencephalogram (EEG) is the most frequently used input signal in BCIs . However, EEG signals are weak, easily contaminated by interferences and noise, non-stationary for the same subject, and varying among different subjects .
Revised:  Electroencephalogram (EEG) is the most frequently used input signal in BCIs . However, EEG signals are weak, easily contaminated by interference and noise, non-stationary for the same subject, and varying among different subjects .
Edit intent: fluency
Original:  Electroencephalogram (EEG) is the most frequently used input signal in BCIs . However, EEG signals are weak, easily contaminated by interferences and noise, non-stationary for the same subject, and varying among different subjects . So , it is difficult to build a generic pattern recognition model in an EEG-based BCI system that is optimal for different subjects, in different sessions, for different devices and tasks.
Revised:  Electroencephalogram (EEG) is the most frequently used input signal in BCIs . However, EEG signals are weak, easily contaminated by interferences and noise, non-stationary for the same subject, and varying across different subjects and sessions. Therefore , it is difficult to build a generic pattern recognition model in an EEG-based BCI system that is optimal for different subjects, in different sessions, for different devices and tasks.
Edit intent: coherence
Original:  Transfer learning (TL), which can utilize data or knowledge from similar or relevant subjects/sessions/devices/tasks to facilitate the learning for a new subject/session/device/task, is frequently used to alleviate this calibration requirement .
Revised:  Transfer learning (TL), which utilizes data or knowledge from similar or relevant subjects/sessions/devices/tasks to facilitate the learning for a new subject/session/device/task, is frequently used to alleviate this calibration requirement .
Edit intent: clarity
Original:  Transfer learning (TL), which can utilize data or knowledge from similar or relevant subjects/sessions/devices/tasks to facilitate the learning for a new subject/session/device/task, is frequently used to alleviate this calibration requirement .
Revised:  Transfer learning (TL), which can utilize data or knowledge from similar or relevant subjects/sessions/devices/tasks to facilitate learning for a new subject/session/device/task, is frequently used to alleviate this calibration requirement .
Edit intent: clarity
Original:  Transfer learning (TL), which can utilize data or knowledge from similar or relevant subjects/sessions/devices/tasks to facilitate the learning for a new subject/session/device/task, is frequently used to alleviate this calibration requirement .
Revised:  Transfer learning (TL), which can utilize data or knowledge from similar or relevant subjects/sessions/devices/tasks to facilitate the learning for a new subject/session/device/task, is frequently used to reduce the amount of calibration effort .
Edit intent: clarity
Original:  Six paradigms and applications -- motor imagery (MI), event related potentials(ERP) ,  steady-state visual evoked potentials (SSVEP) , affective BCIs (aBCI) , regression problems, and adversarial attacks -- are considered.
Revised:  Six paradigms and applications -- motor imagery , steady-state visual evoked potentials (SSVEP) , affective BCIs (aBCI) , regression problems, and adversarial attacks -- are considered.
Edit intent: clarity
Original:  Six paradigms and applications -- motor imagery (MI), event related potentials(ERP) ,  steady-state visual evoked potentials (SSVEP) , affective BCIs (aBCI) , regression problems, and adversarial attacks -- are considered.
Revised:  Six paradigms and applications -- motor imagery (MI), event related potentials(ERP) , event-related potentials, steady-state visual evoked potentials (SSVEP) , affective BCIs (aBCI) , regression problems, and adversarial attacks -- are considered.
Edit intent: fluency
Original:  Six paradigms and applications -- motor imagery (MI), event related potentials(ERP) ,  steady-state visual evoked potentials (SSVEP) , affective BCIs (aBCI) , regression problems, and adversarial attacks -- are considered.
Revised:  Six paradigms and applications -- motor imagery (MI), event related potentials(ERP) , steady-state visual evoked potentials , affective BCIs (aBCI) , regression problems, and adversarial attacks -- are considered.
Edit intent: clarity
Original:  Six paradigms and applications -- motor imagery (MI), event related potentials(ERP) ,  steady-state visual evoked potentials (SSVEP) , affective BCIs (aBCI) , regression problems, and adversarial attacks -- are considered.
Revised:  Six paradigms and applications -- motor imagery (MI), event related potentials(ERP) , steady-state visual evoked potentials (SSVEP) , affective BCIs , regression problems, and adversarial attacks -- are considered.
Edit intent: fluency
Original:  I show that these variations across age and gender are quantitatively explained by the levels of the ACE2 protein in the lungs . This correlation also rationalizes the association between Covid-19 lethality and hypertension. Surprisingly , despite ACE2 is the viral receptor, higher values of ACE2 lead to lower fatality.
Revised:  I show that these variations across age and gender are quantitatively explained by the levels of the ACE2 protein in the lungs but surprisingly , despite ACE2 is the viral receptor, higher values of ACE2 lead to lower fatality.
Edit intent: coherence
Original:  SARS-Cov-2 degrades ACE2 and thus worsens lung injury, causes vasoconstriction, possible thrombotic problemsand exacerbates the inflammatory responsedue to the cross-talk between ACE2, the prothrombotic state and the immune system. I develop here a mathematical model based on the influence of ACE2 on the speed of viral propagation and on the negative effects of its degradation.
Revised:  SARS-Cov-2 degrades ACE2 and thus worsens lung injury, causes vasoconstriction, thrombotic problems, and exacerbated inflammatory response. I developed a mathematical model based on the influence of ACE2 on the speed of viral propagation and on the negative effects of its degradation.
Edit intent: clarity
Original:  Strikingly, rescaling the fitted models with the binding rates of the spike proteins of SARS and SARS-CoV-2 allow predicting the fatality rate of SARS across age and gender with high accuracy , in particular its higher severity for young patients .
Revised:  Rescaling the model parameters with the binding rates of the spike proteins of SARS and SARS-CoV-2 allow predicting the fatality rate of SARS across age and gender with high accuracy , in particular its higher severity for young patients .
Edit intent: clarity
Original:  Strikingly, rescaling the fitted models with the binding rates of the spike proteins of SARS and SARS-CoV-2 allow predicting the fatality rate of SARS across age and gender with high accuracy , in particular its higher severity for young patients .
Revised:  Strikingly, rescaling the fitted models with the binding rates of the spike proteins of SARS-CoV and SARS-CoV-2 allow predicting the fatality rate of SARS across age and gender with high accuracy , in particular its higher severity for young patients .
Edit intent: fluency
Original:  Strikingly, rescaling the fitted models with the binding rates of the spike proteins of SARS and SARS-CoV-2 allow predicting the fatality rate of SARS across age and gender with high accuracy , in particular its higher severity for young patients .
Revised:  Strikingly, rescaling the fitted models with the binding rates of the spike proteins of SARS and SARS-CoV-2 allows predicting the fatality rate of SARS across age and gender with high accuracy , in particular its higher severity for young patients .
Edit intent: fluency
Original:  Strikingly, rescaling the fitted models with the binding rates of the spike proteins of SARS and SARS-CoV-2 allow predicting the fatality rate of SARS across age and gender with high accuracy , in particular its higher severity for young patients .
Revised:  Strikingly, rescaling the fitted models with the binding rates of the spike proteins of SARS and SARS-CoV-2 allow predicting the fatality rate of SARS-CoV across age and gender with high accuracy , in particular its higher severity for young patients .
Edit intent: fluency
Original:  Strikingly, rescaling the fitted models with the binding rates of the spike proteins of SARS and SARS-CoV-2 allow predicting the fatality rate of SARS across age and gender with high accuracy , in particular its higher severity for young patients .
Revised:  Strikingly, rescaling the fitted models with the binding rates of the spike proteins of SARS and SARS-CoV-2 allow predicting the fatality rate of SARS across age and gender , in particular its higher severity for young patients .
Edit intent: clarity
Original:  Strikingly, rescaling the fitted models with the binding rates of the spike proteins of SARS and SARS-CoV-2 allow predicting the fatality rate of SARS across age and gender with high accuracy , in particular its higher severity for young patients . The epidemiology of the common-cold coronavirus NL63 is also consistent with the model and existing data on the affinity of its spike protein , thus linking the molecular and epidemiological levels.
Revised:  Strikingly, rescaling the fitted models with the binding rates of the spike proteins of SARS and SARS-CoV-2 allow predicting the fatality rate of SARS across age and gender with high accuracy , in particular its higher severity for young patients , thus linking the molecular and epidemiological levels.
Edit intent: coherence
Original:  These results support the suggestion that drugs that act synergistically with ACE2 and enhance its expression , such as ACE inhibitors and angiotensin receptor blockers, may constitute a promising therapy against the most adverse effects of CoViD-19 , including hyperinflammation and thrombotic complications .
Revised:  These results support the suggestion that drugs that enhance the expression of ACE2 and enhance its expression , such as ACE inhibitors and angiotensin receptor blockers, may constitute a promising therapy against the most adverse effects of CoViD-19 , including hyperinflammation and thrombotic complications .
Edit intent: clarity
Original:  These results support the suggestion that drugs that act synergistically with ACE2 and enhance its expression , such as ACE inhibitors and angiotensin receptor blockers, may constitute a promising therapy against the most adverse effects of CoViD-19 , including hyperinflammation and thrombotic complications .
Revised:  These results support the suggestion that drugs that act synergistically with ACE2 , such as ACE inhibitors and angiotensin receptor blockers, may constitute a promising therapy against the most adverse effects of CoViD-19 , including hyperinflammation and thrombotic complications .
Edit intent: clarity
Original:  These results support the suggestion that drugs that act synergistically with ACE2 and enhance its expression , such as ACE inhibitors and angiotensin receptor blockers, may constitute a promising therapy against the most adverse effects of CoViD-19 , including hyperinflammation and thrombotic complications .
Revised:  These results support the suggestion that drugs that act synergistically with ACE2 and enhance its expression , such as ACE inhibitors and angiotensin receptor blockers, constitute a promising therapy against the most adverse effects of CoViD-19 , including hyperinflammation and thrombotic complications .
Edit intent: coherence
Original:  These results support the suggestion that drugs that act synergistically with ACE2 and enhance its expression , such as ACE inhibitors and angiotensin receptor blockers, may constitute a promising therapy against the most adverse effects of CoViD-19 , including hyperinflammation and thrombotic complications .
Revised:  These results support the suggestion that drugs that act synergistically with ACE2 and enhance its expression , such as ACE inhibitors and angiotensin receptor blockers, may constitute a promising therapy against the most adverse effects of CoViD-19 .
Edit intent: clarity
Original: In this paper, we aim to integrate findings from the fields of machine learning and network science to argue URLanisms can be modeled as hierarchical Bayesian control systems with small world and bottleneck (bow tie ) network structure.
Revised: In this paper, we aim to integrate findings from the fields of machine learning and network science to argue URLanisms can be modeled as hierarchical Bayesian control systems with small world and information bottleneck (bow-tie ) network structure.
Edit intent: clarity
Original:  This loss of high-level control leads to a disinhibition of subordinate hierarchical levels, producing `critical' behavior and tipping points ( a sudden loss of homeostasis).
Revised:  This produces behavior that favors short-term and self-referential goals over long term, social and/or normative goals. The collapse of goal hierarchies is universally accompanied by an increase in entropy (disorder) in control systems that can serve as an early warning sign for tipping points ( a sudden loss of homeostasis).
Edit intent: clarity
Original:  This loss of high-level control leads to a disinhibition of subordinate hierarchical levels, producing `critical' behavior and tipping points ( a sudden loss of homeostasis). Such phase transitions amount either to disease or the death of URLanism .
Revised:  This loss of high-level control leads to a disinhibition of subordinate hierarchical levels, producing `critical' behavior and tipping points ( disease or death of URLanism .
Edit intent: clarity
Original:  A three-week pilot studywas conducted with 16 participants who had the motivation to reduce their sedentary behavior.
Revised:  In a 3-week user study, participants were allocated to either an active control group (n=8) or an intervention group (n=8). In the 1-week baseline period, none of the participants had access to the functions in the app. In the following 2-week intervention period, only the intervention group was given access to the visualizations, whereas both groups were asked to make action plans every day and reduce their sedentary behavior.
Edit intent: meaning-changed
Original:  The intervention involving the visualizations and action planning in SedVis had a positive effect on reducing participants' sedentary hours  with weak evidence (mean -0.40, SD 0.63), while the active control condition did not decrease sedentary time (mean 0.17, SD 1.65).
Revised:  The intervention involving visualizations and action planning in SedVis had a positive effect on reducing participants' sedentary hours with weak evidence (mean -0.40, SD 0.63), while the active control condition did not decrease sedentary time (mean 0.17, SD 1.65).
Edit intent: fluency
Original:  The intervention involving the visualizations and action planning in SedVis had a positive effect on reducing participants' sedentary hours  with weak evidence (mean -0.40, SD 0.63), while the active control condition did not decrease sedentary time (mean 0.17, SD 1.65).
Revised:  The intervention involving the visualizations and action planning in SedVis had a positive effect on reducing participants' sedentary hours , with weak evidence (mean -0.40, SD 0.63), while the active control condition did not decrease sedentary time (mean 0.17, SD 1.65).
Edit intent: fluency
Original:  The intervention involving the visualizations and action planning in SedVis had a positive effect on reducing participants' sedentary hours  with weak evidence (mean -0.40, SD 0.63), while the active control condition did not decrease sedentary time (mean 0.17, SD 1.65).
Revised:  The intervention involving the visualizations and action planning in SedVis had a positive effect on reducing participants' sedentary hours with weak evidence according to Bayesian statistics, whereas no change in sedentary time was more likely in the active control condition did not decrease sedentary time (mean 0.17, SD 1.65).
Edit intent: meaning-changed
Original:  The intervention involving the visualizations and action planning in SedVis had a positive effect on reducing participants' sedentary hours  with weak evidence (mean -0.40, SD 0.63), while the active control condition did not decrease sedentary time (mean 0.17, SD 1.65). The results also suggested that the more frequently the users checked the app, the more they might reduce their sedentary behavior ;
Revised:  The intervention involving the visualizations and action planning in SedVis had a positive effect on reducing participants' sedentary hours with weak evidence (mean -0.40, SD 0.63), while the active control condition . Furthermore, Bayesian analysis weakly suggested that the more frequently the users checked the app, the more they might reduce their sedentary behavior ;
Edit intent: clarity
Original:  The results also suggested that the more frequently the users checked the app, the more they might reduce their sedentary behavior ; however, this finding did not reach statistical significance. The visualizations in the app also led to higher user-perceived novelty. No participant complained about the interruption, while some participants commented that making action plans every day was boring. Using a smartphone app to collect mobility data and provide feedback in real-time using visualizations might be a promising method to induce changes in sedentary behavior and might be more effective than action planning alone .
Revised:  The results also suggested that the more frequently the users checked the app, the more they might reduce their sedentary behavior .
Edit intent: coherence
Original: In severe viral pneumonia, including Coronavirus disease 2019 (COVID-19), the viral replication phase is often followed by hyperinflammation ('cytokine storm syndrome') , which can lead to acute respiratory distress syndrome, URLan failure, and death.
Revised: In severe viral pneumonia, including Coronavirus disease 2019 (COVID-19), the viral replication phase is often followed by hyperinflammation , which can lead to acute respiratory distress syndrome, URLan failure, and death.
Edit intent: coherence
Original:  Here, we conducted retrospective analyses in two cohorts of patients with acute respiratory distress (ARD, n= 19,659 ) and three cohorts with pneumonia (n= 423,897 ).
Revised:  Here, we conducted retrospective analyses in two cohorts of patients with acute respiratory distress (ARD, n= 18,547 ) and three cohorts with pneumonia (n= 423,897 ).
Edit intent: meaning-changed
Original:  Here, we conducted retrospective analyses in two cohorts of patients with acute respiratory distress (ARD, n= 19,659 ) and three cohorts with pneumonia (n= 423,897 ).
Revised:  Here, we conducted retrospective analyses in two cohorts of patients with acute respiratory distress (ARD, n= 19,659 ) and three cohorts with pneumonia (n= 400,907 ).
Edit intent: meaning-changed
Original:  Federated across two ARD cohorts, our main result shows that patients using \alpha_1-AR antagonists, as compared to nonusers , had a 40 \% relative risk reduction for ventilation and dying ( p= 0.014 ).
Revised:  Federated across two ARD cohorts, we find that patients exposed to \alpha_1-AR antagonists, as compared to nonusers , had a 40 \% relative risk reduction for ventilation and dying ( p= 0.014 ).
Edit intent: clarity
Original:  Federated across two ARD cohorts, our main result shows that patients using \alpha_1-AR antagonists, as compared to nonusers , had a 40 \% relative risk reduction for ventilation and dying ( p= 0.014 ).
Revised:  Federated across two ARD cohorts, our main result shows that patients using \alpha_1-AR antagonists, as compared to unexposed patients , had a 40 \% relative risk reduction for ventilation and dying ( p= 0.014 ).
Edit intent: clarity
Original:  Federated across two ARD cohorts, our main result shows that patients using \alpha_1-AR antagonists, as compared to nonusers , had a 40 \% relative risk reduction for ventilation and dying ( p= 0.014 ).
Revised:  Federated across two ARD cohorts, our main result shows that patients using \alpha_1-AR antagonists, as compared to nonusers , had a 34 \% relative risk reduction for ventilation and dying ( p= 0.014 ).
Edit intent: meaning-changed
Original:  Federated across two ARD cohorts, our main result shows that patients using \alpha_1-AR antagonists, as compared to nonusers , had a 40 \% relative risk reduction for ventilation and dying ( p= 0.014 ).
Revised:  Federated across two ARD cohorts, our main result shows that patients using \alpha_1-AR antagonists, as compared to nonusers , had a 40 \% relative risk reduction for mechanical ventilation and death (OR=0.70, p= 0.014 ).
Edit intent: meaning-changed
Original:  Federated across two ARD cohorts, our main result shows that patients using \alpha_1-AR antagonists, as compared to nonusers , had a 40 \% relative risk reduction for ventilation and dying ( p= 0.014 ).
Revised:  Federated across two ARD cohorts, our main result shows that patients using \alpha_1-AR antagonists, as compared to nonusers , had a 40 \% relative risk reduction for ventilation and dying ( p= 0.021 ).
Edit intent: meaning-changed
Original:  These results highlight the urgent need for prospective trials testing whether prophylactic use of \alpha_1-AR antagonists ameliorates diseases associated with cytokine storm syndrome, such as COVID-19.
Revised:  These results highlight the urgent need for prospective trials testing whether prophylactic use of \alpha_1-AR antagonists ameliorates lower respiratory tract infection-associated cytokine storm syndrome, such as COVID-19.
Edit intent: meaning-changed
Original:  These results highlight the urgent need for prospective trials testing whether prophylactic use of \alpha_1-AR antagonists ameliorates diseases associated with cytokine storm syndrome, such as COVID-19.
Revised:  These results highlight the urgent need for prospective trials testing whether prophylactic use of \alpha_1-AR antagonists ameliorates diseases associated with cytokine storm syndrome, as observed in COVID-19.
Edit intent: meaning-changed
Original:  We prove that the k-List Coloring, List k-Coloring, and k-Precoloring Extension problems are NP-complete on bipartite graphs with diameter at most d, for every k%DIFDELCMD < \ge %%% 4 and every d%DIFDELCMD < \ge %%% 3, and for k=3 and d%DIFDELCMD < \ge %%% 4, and that List k-Coloring is polynomial when d=2 (i.e., on complete bipartite graphs)
Revised:  First, we investigate the k-List Coloring, List k-Coloring, and k-Precoloring Extension problems are NP-complete on bipartite graphs with diameter at most d, for every k%DIFDELCMD < \ge %%% 4 and every d%DIFDELCMD < \ge %%% 3, and for k=3 and d%DIFDELCMD < \ge %%% 4, and that List k-Coloring is polynomial when d=2 (i.e., on complete bipartite graphs)
Edit intent: clarity