wanyu/IteraTeR_full_sent huggingface dataset:
Original:  The basic reproductive factor was R0 =3.4 +/-0.1 \pm0 before the lockdown and 0.65 +/-0.04 \pm0 (90\% c.l.) during it, both with small regional variations.
Revised:  The basic reproductive factor was R0 =3.4 +/-0.1 \pm0 before the lockdown and 0.65 \pm0 (90\% c.l.) during it, both with small regional variations.
Edit intent: meaning-changed
Original:  The basic reproductive factor was R0 =3.4 +/-0.1 \pm0 before the lockdown and 0.65 +/-0.04 \pm0 (90\% c.l.) during it, both with small regional variations.
Revised:  The basic reproductive factor was R0 =3.4 +/-0.1 \pm0 before the lockdown and 0.65 +/-0.04 \pm0.04 (90\% c.l.) during it, both with small regional variations.
Edit intent: meaning-changed
Original:  \pm1 The fraction of immunized people reached a plateau below 1\% throughout France (3\% in Paris) by late April 2020 (95\% c.l.), suggesting a lack of herd immunity and that a second wave of the pandemic is possible during the partial lifting of the national lockdown.
Revised:  On 11 May 2020, the Infection Fatality Rate in France is 4\pm1 The fraction of immunized people reached a plateau below 1\% throughout France (3\% in Paris) by late April 2020 (95\% c.l.), suggesting a lack of herd immunity and that a second wave of the pandemic is possible during the partial lifting of the national lockdown.
Edit intent: meaning-changed
Original:  \pm1 The fraction of immunized people reached a plateau below 1\% throughout France (3\% in Paris) by late April 2020 (95\% c.l.), suggesting a lack of herd immunity and that a second wave of the pandemic is possible during the partial lifting of the national lockdown.
Revised:  \pm1\% (90\% c.l.) and constant, while the Feverish vastly outnumber the Asymptomatic, contrary to the early phases. Without the lockdown nor social distancing, over 2 million deaths from COVID-19 would have occurred throughout France. The fraction of immunized people reached a plateau below 1\% throughout France (3\% in Paris) by late April 2020 (95\% c.l.), suggesting a lack of herd immunity and that a second wave of the pandemic is possible during the partial lifting of the national lockdown.
Edit intent: meaning-changed
Original:  After the partial lifting of the lockdown, if R0 is as high as 1.5, then a second wave will lead to 60 thousand deaths by mid-July and over a million by October, while if R0 is 1.2 or lower, the pandemic is delayed with deaths rising as late as August, allowing for timely governmental response.
Revised:  After the partial lifting of the lockdown, if R_0 is as high as 1.5, then a second wave will lead to 60 thousand deaths by mid-July and over a million by October, while if R0 is 1.2 or lower, the pandemic is delayed with deaths rising as late as August, allowing for timely governmental response.
Edit intent: clarity
Original:  After the partial lifting of the lockdown, if R0 is as high as 1.5, then a second wave will lead to 60 thousand deaths by mid-July and over a million by October, while if R0 is 1.2 or lower, the pandemic is delayed with deaths rising as late as August, allowing for timely governmental response.
Revised:  After the partial lifting of the lockdown, if R0 is as high as 1.5, then a second wave will lead to 60 thousand deaths by mid-July and over a million by October, while if R_0 is 1.2 or lower, the pandemic is delayed with deaths rising as late as August, allowing for timely governmental response.
Edit intent: clarity
Original: We present QADI, an automatically collected dataset of tweets belonging to a wide range of country-level Arabic dialects -covering 18 different countries in the MENA ( Middle East and North Africa ) region.
Revised: We present QADI, an automatically collected dataset of tweets belonging to a wide range of country-level Arabic dialects -covering 18 different countries in the MENA ( Middle East and North Africa region.
Edit intent: fluency
Original: Public blockchains should be able to scale with respect to the number of nodes and to the transactions load. Despite the large research and experimental effort, all known approaches turn out to be tradeoffs that sacrifice security or decentralization to achieve scalability. Actually, the blockchain scalability trilemma has been informally proposed .
Revised: Public blockchains should be able to scale with respect to the number of nodes and to the transactions workload. The blockchain scalability trilemma has been informally proposed .
Edit intent: coherence
Original:  This is related to scalability, security and decentralization, stating that any improvement in one of these aspects should negatively impact on at least one of the other two aspects. We introduce a new blockchain architecture that scales to arbitrarily high transactions workload provided that a corresponding proportional increment of nodes is provided.
Revised:  This is related to scalability, security and decentralization, stating that any improvement in one of these aspects should negatively impact on at least one of the other twos. In fact, despite the large research and experimental effort, all known approaches turn out to be tradeoffs. We theoretically describe a new blockchain architecture that scales to arbitrarily high transactions workload provided that a corresponding proportional increment of nodes is provided.
Edit intent: meaning-changed
Original:  We introduce a new blockchain architecture that scales to arbitrarily high transactions workload provided that a corresponding proportional increment of nodes is provided. In this scalability process, no tradeoff on security or decentralization is required .
Revised:  We introduce a new blockchain architecture that scales to arbitrarily high transactions workload provided that a corresponding proportional increment of nodes is provisioned. We show that, under reasonable assumptions, our approach does not require tradeoffs on security or decentralization is required .
Edit intent: clarity
Original: As the current COVID-19 outbreak shows, disease epidemic is a complex problem which must be tackled with the right public policy. One of the main tools of the policymakers is to control the contact rate among the population , commonly referred to as social distancing , in order to reduce the spread of the disease. We pose a mean-field game model of individuals each choosing a dynamic strategy of making contacts, given the trade-off of utility from contacts but also risk of infection from those contacts.
Revised: As the current COVID-19 pandemic has proven that proper control and prevention of infectious disease require creating and enforcing the appropriate public policies. One critical policy imposed by the policymakers is encouraging the population to practice social distancing (i.e. controlling the contact rate among the population). Here we pose a mean-field game model of individuals each choosing a dynamic strategy of making contacts, given the trade-off of utility from contacts but also risk of infection from those contacts.
Edit intent: clarity
Original:  We compute and compare the mean-field equilibrium (MFE) strategy, which assumes individuals acting selfishly to maximize their own utility, to the socially optimal strategy, which is the strategy maximizing the total utility of the population.
Revised:  We compute and compare the mean-field equilibrium (MFE) strategy, which assumes each individual acting selfishly to maximize their own utility, to the socially optimal strategy, which is the strategy maximizing the total utility of the population.
Edit intent: clarity
Original:  We compute and compare the mean-field equilibrium (MFE) strategy, which assumes individuals acting selfishly to maximize their own utility, to the socially optimal strategy, which is the strategy maximizing the total utility of the population.
Revised:  We compute and compare the mean-field equilibrium (MFE) strategy, which assumes individuals acting selfishly to maximize its own utility, to the socially optimal strategy, which is the strategy maximizing the total utility of the population.
Edit intent: clarity
Original:  We compute and compare the mean-field equilibrium (MFE) strategy, which assumes individuals acting selfishly to maximize their own utility, to the socially optimal strategy, which is the strategy maximizing the total utility of the population.
Revised:  We compute and compare the mean-field equilibrium (MFE) strategy, which assumes individuals acting selfishly to maximize their own utility, to the socially optimal strategy, which maximizes the total utility of the population.
Edit intent: clarity
Original:  We prove that the infected always want to make more contacts than the level at which it would be socially optimal, which reinforces the need to reduce contacts of the infected (e.g. quarantining, sick paid leave).
Revised:  We prove that the optimal decision of the infected is always to make more contacts than the level at which it would be socially optimal, which reinforces the need to reduce contacts of the infected (e.g. quarantining, sick paid leave).
Edit intent: clarity
Original:  We prove that the infected always want to make more contacts than the level at which it would be socially optimal, which reinforces the need to reduce contacts of the infected (e.g. quarantining, sick paid leave).
Revised:  We prove that the infected always want to make more contacts than the level at which it would be socially optimal, which reinforces the important role of public policy to reduce contacts of the infected (e.g. quarantining, sick paid leave).
Edit intent: clarity
Original:  Lastly, we compute the price of anarchy  of this system, to understand the conditions under which large discrepancies between the MFE and socially optimal strategies arise, which is when  public policy would be most effective.
Revised:  Lastly, we compute the price of anarchy (PoA) of this system, to understand the conditions under which large discrepancies between the MFE and socially optimal strategies arise, which is when public policy would be most effective.
Edit intent: meaning-changed
Original:  Lastly, we compute the price of anarchy  of this system, to understand the conditions under which large discrepancies between the MFE and socially optimal strategies arise, which is when  public policy would be most effective.
Revised:  Lastly, we compute the price of anarchy of this system, to understand the conditions under which large discrepancies between the MFE and socially optimal strategies arise, which is when intervening public policy would be most effective.
Edit intent: clarity
Original: We propose applications of sample pooling for RT-qPCR diagnostic to the epidemiologic study of COVID-19 . Taking into account the false negatives created by the dilution of individual samples, our arguments indicate that group testing allows for precise estimates of the prevalence of the disease in the population and early detection of epidemic outbreak in connected communities while saving tests for further massive testing of the population .
Revised: In this article, we propose an analysis and applications of sample pooling for RT-qPCR diagnostic to the epidemiologic study of COVID-19 . Taking into account the false negatives created by the dilution of individual samples, our arguments indicate that group testing allows for precise estimates of the prevalence of the disease in the population and early detection of epidemic outbreak in connected communities while saving tests for further massive testing of the population .
Edit intent: meaning-changed
Original: We propose applications of sample pooling for RT-qPCR diagnostic to the epidemiologic study of COVID-19 . Taking into account the false negatives created by the dilution of individual samples, our arguments indicate that group testing allows for precise estimates of the prevalence of the disease in the population and early detection of epidemic outbreak in connected communities while saving tests for further massive testing of the population .
Revised: We propose applications of sample pooling to the epidemiologic study of COVID-19 . Taking into account the false negatives created by the dilution of individual samples, our arguments indicate that group testing allows for precise estimates of the prevalence of the disease in the population and early detection of epidemic outbreak in connected communities while saving tests for further massive testing of the population .
Edit intent: clarity
Original: We propose applications of sample pooling for RT-qPCR diagnostic to the epidemiologic study of COVID-19 . Taking into account the false negatives created by the dilution of individual samples, our arguments indicate that group testing allows for precise estimates of the prevalence of the disease in the population and early detection of epidemic outbreak in connected communities while saving tests for further massive testing of the population .
Revised: We propose applications of sample pooling for RT-qPCR diagnostic to the epidemiologic monitoring of COVID-19 . Taking into account the false negatives created by the dilution of individual samples, our arguments indicate that group testing allows for precise estimates of the prevalence of the disease in the population and early detection of epidemic outbreak in connected communities while saving tests for further massive testing of the population .
Edit intent: clarity
Original: We propose applications of sample pooling for RT-qPCR diagnostic to the epidemiologic study of COVID-19 . Taking into account the false negatives created by the dilution of individual samples, our arguments indicate that group testing allows for precise estimates of the prevalence of the disease in the population and early detection of epidemic outbreak in connected communities while saving tests for further massive testing of the population .
Revised: We propose applications of sample pooling for RT-qPCR diagnostic to the epidemiologic study of COVID-19 with an economy of tests. We first show that group testing allows for precise estimates of the prevalence of the disease in the population and early detection of epidemic outbreak in connected communities while saving tests for further massive testing of the population .
Edit intent: meaning-changed
Original: We propose applications of sample pooling for RT-qPCR diagnostic to the epidemiologic study of COVID-19 . Taking into account the false negatives created by the dilution of individual samples, our arguments indicate that group testing allows for precise estimates of the prevalence of the disease in the population and early detection of epidemic outbreak in connected communities while saving tests for further massive testing of the population .
Revised: We propose applications of sample pooling for RT-qPCR diagnostic to the epidemiologic study of COVID-19 . Taking into account the false negatives created by the dilution of individual samples, our arguments indicate that group testing is a theoretically efficient and economic tool to provide a direct measure of the prevalence of the disease in the population and early detection of epidemic outbreak in connected communities while saving tests for further massive testing of the population .
Edit intent: clarity
Original: We propose applications of sample pooling for RT-qPCR diagnostic to the epidemiologic study of COVID-19 . Taking into account the false negatives created by the dilution of individual samples, our arguments indicate that group testing allows for precise estimates of the prevalence of the disease in the population and early detection of epidemic outbreak in connected communities while saving tests for further massive testing of the population .
Revised: We propose applications of sample pooling for RT-qPCR diagnostic to the epidemiologic study of COVID-19 . Taking into account the false negatives created by the dilution of individual samples, our arguments indicate that group testing allows for precise estimates of the prevalence of the disease . We then introduce a precise model of the RT-qPCR process, used to test for the presence of virus in a sample. We construct a statistical model for the viral load in a typical infected individual based on clinical data from Jones et. al. (2020). Using these models, we then propose a method for the measure of the prevalence in a population, based on group testing, taking into account the increased number of false negatives associated to this method. Finally, we present an application of sample pooling for the prevention of epidemic outbreak in connected communities while saving tests for further massive testing of the population .
Edit intent: meaning-changed
Original: We propose applications of sample pooling for RT-qPCR diagnostic to the epidemiologic study of COVID-19 . Taking into account the false negatives created by the dilution of individual samples, our arguments indicate that group testing allows for precise estimates of the prevalence of the disease in the population and early detection of epidemic outbreak in connected communities while saving tests for further massive testing of the population .
Revised: We propose applications of sample pooling for RT-qPCR diagnostic to the epidemiologic study of COVID-19 . Taking into account the false negatives created by the dilution of individual samples, our arguments indicate that group testing allows for precise estimates of the prevalence of the disease in the population and early detection of epidemic outbreak in relatively closed connected communities (e.g. care homes for the elderly) .
Edit intent: meaning-changed
Original: In this article , we propose an analysis and applications of sample pooling to the epidemiologic monitoring of COVID-19 with an economy of tests .
Revised: Sample pooling consists in combining samples from multiple individuals into a single pool that is then tested using a unique test-kit. A positive test means that at least one individual within the pool is infected. Here , we propose an analysis and applications of sample pooling to the epidemiologic monitoring of COVID-19 with an economy of tests .
Edit intent: meaning-changed
Original:  We then introduce a precise model of the RT-qPCR process , used to test for the presence of virus in a sample . We construct a statistical model for the viral load in a typical infected individual based on clinical data from Jones et. al. (2020).
Revised:  We then introduce a precise model of the RT-qPCR process , used to test for the presence of virus in a sample and construct a statistical model for the viral load in a typical infected individual based on clinical data from Jones et. al. (2020).
Edit intent: coherence
Original: We investigate the single source shortest distance (SSSD) and all pairs shortest distance (APSD) problems as enumeration problems (on unweighted and integer weighted graphs), meaning that the shortest distances are produced and listed one by one without repetition.
Revised: We investigate the single source shortest distance (SSSD) and all pairs shortest distance (APSD) problems as enumeration problems (on unweighted and integer weighted graphs), meaning that the elements (u, v, d(u, v)) -- where u and v are vertices with shortest distance d(u, v) -- are produced and listed one by one without repetition.
Edit intent: meaning-changed
Original:  This point of view reveals that specific types of output (e.g., excluding non-reachability information, excluding the self-distances  ) and the order of enumeration (e.g., sorted by distance,  row-wise w.r.t. the distance matrix) have a huge impact on the complexity of APSD while they appear to have no effect on SSSD. In particular, we show for APSD that enumeration without output restrictions is possible with delay in the order of the average degree.
Revised:  This point of view reveals that specific types of output (e.g., excluding the non-reachable pairs (u, v, \infty), or excluding the self-distances ) and the order of enumeration (e.g., sorted by distance, row-wise w.r.t. the distance matrix) have a huge impact on the complexity of APSD while they appear to have no effect on SSSD. In particular, we show for APSD that enumeration without output restrictions is possible with delay in the order of the average degree.
Edit intent: meaning-changed
Original:  This point of view reveals that specific types of output (e.g., excluding non-reachability information, excluding the self-distances  ) and the order of enumeration (e.g., sorted by distance,  row-wise w.r.t. the distance matrix) have a huge impact on the complexity of APSD while they appear to have no effect on SSSD. In particular, we show for APSD that enumeration without output restrictions is possible with delay in the order of the average degree.
Revised:  This point of view reveals that specific types of output (e.g., excluding non-reachability information, excluding the self-distances (u, u, 0) ) and the order of enumeration (e.g., sorted by distance, row-wise w.r.t. the distance matrix) have a huge impact on the complexity of APSD while they appear to have no effect on SSSD. In particular, we show for APSD that enumeration without output restrictions is possible with delay in the order of the average degree.
Edit intent: meaning-changed
Original:  This point of view reveals that specific types of output (e.g., excluding non-reachability information, excluding the self-distances  ) and the order of enumeration (e.g., sorted by distance,  row-wise w.r.t. the distance matrix) have a huge impact on the complexity of APSD while they appear to have no effect on SSSD. In particular, we show for APSD that enumeration without output restrictions is possible with delay in the order of the average degree.
Revised:  This point of view reveals that specific types of output (e.g., excluding non-reachability information, excluding the self-distances ) and the order of enumeration (e.g., sorted by distance, sorted row-wise w.r.t. the distance matrix) have a huge impact on the complexity of APSD while they appear to have no effect on SSSD. In particular, we show for APSD that enumeration without output restrictions is possible with delay in the order of the average degree.
Edit intent: fluency
Original:  This point of view reveals that specific types of output (e.g., excluding non-reachability information, excluding the self-distances  ) and the order of enumeration (e.g., sorted by distance,  row-wise w.r.t. the distance matrix) have a huge impact on the complexity of APSD while they appear to have no effect on SSSD. In particular, we show for APSD that enumeration without output restrictions is possible with delay in the order of the average degree.
Revised:  This point of view reveals that specific types of output (e.g., excluding non-reachability information, excluding the self-distances ) and the order of enumeration (e.g., sorted by distance, row-wise with respect to the distance matrix) have a huge impact on the complexity of APSD while they appear to have no effect on SSSD. In particular, we show for APSD that enumeration without output restrictions is possible with delay in the order of the average degree.
Edit intent: clarity
Original:  We propose a class of Fractional Top Trading Cycle mechanisms to solve allocation problems in which agents have fractional endowments or are ranked by coarse priorities . Dropping the graph-based definition of Top Trading Cycle , we use parameterized linear equations to describe how agents trade endowments or priorities  .
Revised:  We propose a class of Fractional TTC mechanisms to solve allocation problems in which agents have fractional endowments or are ranked by coarse priorities . Dropping the graph-based definition of Top Trading Cycle , we use parameterized linear equations to describe how agents trade endowments or priorities .
Edit intent: clarity