wanyu/IteraTeR_full_sent huggingface dataset:
Original:  Our experiments demonstrate that (i) SOLOIST creates new state-of-the-art results on two well-known benchmarks, CamRest and MultiWOZ, (ii) in the few-shot learning setting, the dialog systems developed by SOLOIST significantly outperform those developed by existing methods, and (iii) the use of machine teaching substantially reduces the labeling cost .
Revised:  Our experiments demonstrate that (i) SOLOIST creates new state-of-the-art results on two well-known benchmarks, CamRest and MultiWOZ, (ii) in the few-shot fine-tuning settings, SOLOIST significantly outperforms existing methods, and (iii) the use of machine teaching substantially reduces the labeling cost .
Edit intent: clarity
Original:  Our experiments demonstrate that (i) SOLOIST creates new state-of-the-art results on two well-known benchmarks, CamRest and MultiWOZ, (ii) in the few-shot learning setting, the dialog systems developed by SOLOIST significantly outperform those developed by existing methods, and (iii) the use of machine teaching substantially reduces the labeling cost . We will release our code and pre-trained models for reproducible research.
Revised:  Our experiments demonstrate that (i) SOLOIST creates new state-of-the-art results on two well-known benchmarks, CamRest and MultiWOZ, (ii) in the few-shot learning setting, the dialog systems developed by SOLOIST significantly outperform those developed by existing methods, and (iii) the use of machine teaching substantially reduces the labeling cost of fine-tuning. The pre-trained models for reproducible research.
Edit intent: clarity
Original:  We implement an SEIR model , consisting of a set of first-order temporal differential equations (ODE's) to analyze the time evolution of the disease caused by the virus. The model is applied to the city of Buenos Aires and neighbouring cities (RMBA) with approximately 15 million inhabitants.
Revised:  We implement an SEIR model , consisting of a set of first-order temporal differential equations (ODE's) to analyze the time evolution of the disease in Buenos Aires and neighbouring cities (RMBA) with approximately 15 million inhabitants.
Edit intent: clarity
Original:  The first set of parameters yields initially a reproduction ratio R0 = 3.30 decreasing to 0.92 in April 8, after the lockdown, but increasing to 2.44 after April 27, most probably due to an increase of the contagion in highly populated slums.
Revised:  The first set of parameters yields initially a reproduction ratio R0 = 3.33 decreasing to 0.95 in April 8, after the lockdown, but increasing to 2.44 after April 27, most probably due to an increase of the contagion in highly populated slums.
Edit intent: meaning-changed
Original:  The first set of parameters yields initially a reproduction ratio R0 = 3.30 decreasing to 0.92 in April 8, after the lockdown, but increasing to 2.44 after April 27, most probably due to an increase of the contagion in highly populated slums.
Revised:  The first set of parameters yields initially a reproduction ratio R0 = 3.30 decreasing to 0.92 in April 8, after the lockdown, but increasing to 1.55 after April 27, most probably due to an increase of the contagion in highly populated slums.
Edit intent: meaning-changed
Original:  However, this death toll is highly affected by the evolution of the reproduction ratio, and keeping R0 = 0.92 after April 27, would cause 1321 casualties and only 66000 infected individuals.
Revised:  However, this death toll is highly affected by the evolution of the reproduction ratio, and keeping R0 = 0.95 after April 27, would cause 1321 casualties and only 66000 infected individuals.
Edit intent: meaning-changed
Original:  However, this death toll is highly affected by the evolution of the reproduction ratio, and keeping R0 = 0.92 after April 27, would cause 1321 casualties and only 66000 infected individuals.
Revised:  However, this death toll is highly affected by the evolution of the reproduction ratio, and keeping R0 = 0.92 after April 27, would cause only 66000 infected individuals.
Edit intent: clarity
Original:  However, this death toll is highly affected by the evolution of the reproduction ratio, and keeping R0 = 0.92 after April 27, would cause 1321 casualties and only 66000 infected individuals.
Revised:  However, this death toll is highly affected by the evolution of the reproduction ratio, and keeping R0 = 0.92 after April 27, would cause 1321 casualties and only 1881 casualties and 92955 infected individuals.
Edit intent: meaning-changed
Original:  Other cases, assuming the present trend, predict smaller incubation periods ( between 4 and 5 days) and yield between 30000 and 90000 deaths and IFRs between 0.5 \% and 1 \%.
Revised:  Other cases, assuming the present trend, predict smaller incubation periods ( 4-5 days) and yield between 30000 and 90000 deaths and IFRs between 0.5 \% and 1 \%.
Edit intent: fluency
Original:  Other cases, assuming the present trend, predict smaller incubation periods ( between 4 and 5 days) and yield between 30000 and 90000 deaths and IFRs between 0.5 \% and 1 \%.
Revised:  Other cases, assuming the present trend, predict smaller incubation periods ( between 4 and 5 days) and yield between 20000 and 70000 deaths and IFRs between 0.5 \% and 1 \%.
Edit intent: meaning-changed
Original:  Other cases, assuming the present trend, predict smaller incubation periods ( between 4 and 5 days) and yield between 30000 and 90000 deaths and IFRs between 0.5 \% and 1 \%. This means that the intensity of the lockdown (and behaviour of the population) is essential and that the measures have to be guided by precise model predictions.
Revised:  Other cases, assuming the present trend, predict smaller incubation periods ( between 4 and 5 days) and yield between 30000 and 90000 deaths and IFRs between 0.5 \% and 1.1 \%.
Edit intent: coherence
Original:  We also consider doubling the number of casualties to date and, in this case, the death toll is almost 44000 individuals and about 5.1 million people being infected .
Revised:  We also consider doubling the number of casualties to date and, in this case, the death toll is almost 44000 individuals and about 5.1 million infected individuals. Other choices of parameters also provide a good fit of the data, indicating the uncertainty of the results, which may differ from reported values. The analysis allows us to study how isolation and social distancing measures affect the time evolution of the epidemic .
Edit intent: meaning-changed
Original:  Endeavoring toward a transferable, predictive coarse-grained explicit-chain model for biomolecular LLPS, we used the N-terminal intrinsically disordered region (IDR) of the DEAD-box helicase Ddx4  as a test case to conduct extensive multiple-chain simulations to assess the roles of electrostatic, hydrophobic, cation-\pi, and aromatic interactions in sequence-specific phase behaviors.
Revised:  Endeavoring toward a transferable, predictive coarse-grained explicit-chain model for biomolecular condensates underlain by liquid-liquid phase separation (LLPS), we conducted multiple-chain simulations of the N-terminal intrinsically disordered region (IDR) of the DEAD-box helicase Ddx4 as a test case to conduct extensive multiple-chain simulations to assess the roles of electrostatic, hydrophobic, cation-\pi, and aromatic interactions in sequence-specific phase behaviors.
Edit intent: meaning-changed
Original:  Endeavoring toward a transferable, predictive coarse-grained explicit-chain model for biomolecular LLPS, we used the N-terminal intrinsically disordered region (IDR) of the DEAD-box helicase Ddx4  as a test case to conduct extensive multiple-chain simulations to assess the roles of electrostatic, hydrophobic, cation-\pi, and aromatic interactions in sequence-specific phase behaviors.
Revised:  Endeavoring toward a transferable, predictive coarse-grained explicit-chain model for biomolecular LLPS, we used the N-terminal intrinsically disordered region (IDR) of DEAD-box helicase Ddx4 as a test case to conduct extensive multiple-chain simulations to assess the roles of electrostatic, hydrophobic, cation-\pi, and aromatic interactions in sequence-specific phase behaviors.
Edit intent: fluency
Original:  Endeavoring toward a transferable, predictive coarse-grained explicit-chain model for biomolecular LLPS, we used the N-terminal intrinsically disordered region (IDR) of the DEAD-box helicase Ddx4  as a test case to conduct extensive multiple-chain simulations to assess the roles of electrostatic, hydrophobic, cation-\pi, and aromatic interactions in sequence-specific phase behaviors.
Revised:  Endeavoring toward a transferable, predictive coarse-grained explicit-chain model for biomolecular LLPS, we used the N-terminal intrinsically disordered region (IDR) of the DEAD-box helicase Ddx4 , as a test case to conduct extensive multiple-chain simulations to assess the roles of electrostatic, hydrophobic, cation-\pi, and aromatic interactions in sequence-specific phase behaviors.
Edit intent: fluency
Original:  Endeavoring toward a transferable, predictive coarse-grained explicit-chain model for biomolecular LLPS, we used the N-terminal intrinsically disordered region (IDR) of the DEAD-box helicase Ddx4  as a test case to conduct extensive multiple-chain simulations to assess the roles of electrostatic, hydrophobic, cation-\pi, and aromatic interactions in sequence-specific phase behaviors.
Revised:  Endeavoring toward a transferable, predictive coarse-grained explicit-chain model for biomolecular LLPS, we used the N-terminal intrinsically disordered region (IDR) of the DEAD-box helicase Ddx4 as a test case , to assess the roles of electrostatic, hydrophobic, cation-\pi, and aromatic interactions in sequence-specific phase behaviors.
Edit intent: coherence
Original:  Endeavoring toward a transferable, predictive coarse-grained explicit-chain model for biomolecular LLPS, we used the N-terminal intrinsically disordered region (IDR) of the DEAD-box helicase Ddx4  as a test case to conduct extensive multiple-chain simulations to assess the roles of electrostatic, hydrophobic, cation-\pi, and aromatic interactions in sequence-specific phase behaviors. Three different residue-residue interaction schemes sharing the same electrostatic potentialwere evaluated.
Revised:  Endeavoring toward a transferable, predictive coarse-grained explicit-chain model for biomolecular LLPS, we used the N-terminal intrinsically disordered region (IDR) of the DEAD-box helicase Ddx4 as a test case to conduct extensive multiple-chain simulations to assess the roles of electrostatic, hydrophobic, cation-\pi, and aromatic interactions in amino acid sequence-dependent LLPS. We evaluated 3 residue-residue interaction schemes sharing the same electrostatic potentialwere evaluated.
Edit intent: clarity
Original:  Three different residue-residue interaction schemes sharing the same electrostatic potentialwere evaluated. We found that neither a common scheme based on amino acid hydrophobicity nor one augmented with arginine/lysine-aromatic cation-\pi interactions can consistently account for the available experimental LLPS data on the wildtype, a charge-scrambled mutant, a phenylalanine-to-alanine (FtoA) mutant and an arginine-to-lysine (RtoK ) mutant of the Ddx4 IDR.
Revised:  Three different residue-residue interaction schemes with a shared electrostatic potential. Neither a common hydrophobicity scheme nor one augmented with arginine/lysine-aromatic cation-\pi interactions can consistently account for the available experimental LLPS data on the wildtype, a charge-scrambled mutant, a phenylalanine-to-alanine (FtoA) mutant and an arginine-to-lysine (RtoK ) mutant of the Ddx4 IDR.
Edit intent: clarity
Original:  We found that neither a common scheme based on amino acid hydrophobicity nor one augmented with arginine/lysine-aromatic cation-\pi interactions can consistently account for the available experimental LLPS data on the wildtype, a charge-scrambled mutant, a phenylalanine-to-alanine (FtoA) mutant and an arginine-to-lysine (RtoK ) mutant of the Ddx4 IDR.
Revised:  We found that neither a common scheme based on amino acid hydrophobicity nor one augmented with arginine/lysine-aromatic cation-\pi interactions consistently accounted for the experimental LLPS data on the wildtype, a charge-scrambled mutant, a phenylalanine-to-alanine (FtoA) mutant and an arginine-to-lysine (RtoK ) mutant of the Ddx4 IDR.
Edit intent: clarity
Original:  We found that neither a common scheme based on amino acid hydrophobicity nor one augmented with arginine/lysine-aromatic cation-\pi interactions can consistently account for the available experimental LLPS data on the wildtype, a charge-scrambled mutant, a phenylalanine-to-alanine (FtoA) mutant and an arginine-to-lysine (RtoK ) mutant of the Ddx4 IDR.
Revised:  We found that neither a common scheme based on amino acid hydrophobicity nor one augmented with arginine/lysine-aromatic cation-\pi interactions can consistently account for the available experimental LLPS data on the wildtype, a charge-scrambled , an FtoA, and an RtoK mutant of Ddx4 IDR.
Edit intent: meaning-changed
Original:  In contrast, an interaction scheme based on contact statistics among folded globular protein structures reproduces the overall experimental trend, including that the RtoK mutant has a much diminished LLPS propensity.
Revised:  In contrast, an interaction scheme based on contact statistics among folded globular protein structures reproduce the overall experimental trend, including that the RtoK mutant has a much diminished LLPS propensity.
Edit intent: fluency
Original:  This finding underscores the important role of \pi-related interactions in LLPS and that their effects are embodied to a degree in classical statistical potentials.
Revised:  Consistency between simulation and LLPS experiment was also found for RtoK mutants of P-granule protein LAF-1, underscoring that, to a degree, the important LLPS-driving \pi-related interactions in LLPS and that their effects are embodied to a degree in classical statistical potentials.
Edit intent: meaning-changed
Original:   Protein-protein electrostatic interactions are modulated by relative permittivity, which in general depends on protein concentration in the aqueous medium .
Revised:  Further elucidation will be necessary, however, especially of phenylalanine's role in condensate assembly because experiments on FtoA and YtoF mutants suggest that LLPS-driving phenylalanine interactions are significantly weaker than those posited by common statistical potentials. Protein-protein electrostatic interactions are modulated by relative permittivity, which in general depends on protein concentration in the aqueous medium .
Edit intent: meaning-changed
Original:  Motivated by the importance of heterogeneous risk perception in the population to response to infectious disease outbreaks  , we propose a heterogeneous three-layer network model, namely the Susceptible-Exposed-Infectious-Recovered Unaware-Aware-Protected (SEIR-UAP) model, where people's vulnerability to the disease is influenced by the processes of awareness information diffusion, preventive behavior changeand infectious disease transmission.
Revised:  Motivated by the importance of individual differences in risk perception and behavior change in people's responses to infectious disease outbreaks , we propose a heterogeneous three-layer network model, namely the Susceptible-Exposed-Infectious-Recovered Unaware-Aware-Protected (SEIR-UAP) model, where people's vulnerability to the disease is influenced by the processes of awareness information diffusion, preventive behavior changeand infectious disease transmission.
Edit intent: clarity
Original:  Motivated by the importance of heterogeneous risk perception in the population to response to infectious disease outbreaks  , we propose a heterogeneous three-layer network model, namely the Susceptible-Exposed-Infectious-Recovered Unaware-Aware-Protected (SEIR-UAP) model, where people's vulnerability to the disease is influenced by the processes of awareness information diffusion, preventive behavior changeand infectious disease transmission.
Revised:  Motivated by the importance of heterogeneous risk perception in the population to response to infectious disease outbreaks (particularly the ongoing COVID-19 pandemic) , we propose a heterogeneous three-layer network model, namely the Susceptible-Exposed-Infectious-Recovered Unaware-Aware-Protected (SEIR-UAP) model, where people's vulnerability to the disease is influenced by the processes of awareness information diffusion, preventive behavior changeand infectious disease transmission.
Edit intent: meaning-changed
Original:  Motivated by the importance of heterogeneous risk perception in the population to response to infectious disease outbreaks  , we propose a heterogeneous three-layer network model, namely the Susceptible-Exposed-Infectious-Recovered Unaware-Aware-Protected (SEIR-UAP) model, where people's vulnerability to the disease is influenced by the processes of awareness information diffusion, preventive behavior changeand infectious disease transmission.
Revised:  Motivated by the importance of heterogeneous risk perception in the population to response to infectious disease outbreaks , we propose a heterogeneous Disease-Behavior-Information (hDBI) transmission model, in which people's vulnerability to the disease is influenced by the processes of awareness information diffusion, preventive behavior changeand infectious disease transmission.
Edit intent: clarity
Original:  Motivated by the importance of heterogeneous risk perception in the population to response to infectious disease outbreaks  , we propose a heterogeneous three-layer network model, namely the Susceptible-Exposed-Infectious-Recovered Unaware-Aware-Protected (SEIR-UAP) model, where people's vulnerability to the disease is influenced by the processes of awareness information diffusion, preventive behavior changeand infectious disease transmission.
Revised:  Motivated by the importance of heterogeneous risk perception in the population to response to infectious disease outbreaks , we propose a heterogeneous three-layer network model, namely the Susceptible-Exposed-Infectious-Recovered Unaware-Aware-Protected (SEIR-UAP) model, where people's risk of getting infected is influenced by the processes of awareness information diffusion, preventive behavior changeand infectious disease transmission.
Edit intent: clarity
Original:  Motivated by the importance of heterogeneous risk perception in the population to response to infectious disease outbreaks  , we propose a heterogeneous three-layer network model, namely the Susceptible-Exposed-Infectious-Recovered Unaware-Aware-Protected (SEIR-UAP) model, where people's vulnerability to the disease is influenced by the processes of awareness information diffusion, preventive behavior changeand infectious disease transmission.
Revised:  Motivated by the importance of heterogeneous risk perception in the population to response to infectious disease outbreaks , we propose a heterogeneous three-layer network model, namely the Susceptible-Exposed-Infectious-Recovered Unaware-Aware-Protected (SEIR-UAP) model, where people's vulnerability to the disease is influenced by information diffusion, preventive behavior changeand infectious disease transmission.
Edit intent: clarity
Original:  Motivated by the importance of heterogeneous risk perception in the population to response to infectious disease outbreaks  , we propose a heterogeneous three-layer network model, namely the Susceptible-Exposed-Infectious-Recovered Unaware-Aware-Protected (SEIR-UAP) model, where people's vulnerability to the disease is influenced by the processes of awareness information diffusion, preventive behavior changeand infectious disease transmission.
Revised:  Motivated by the importance of heterogeneous risk perception in the population to response to infectious disease outbreaks , we propose a heterogeneous three-layer network model, namely the Susceptible-Exposed-Infectious-Recovered Unaware-Aware-Protected (SEIR-UAP) model, where people's vulnerability to the disease is influenced by the processes of awareness information diffusion, behavior change, and disease transmission.
Edit intent: clarity
Original:  We found that (a ) the awareness of the disease plays the central role in preventing disease outbreak ;
Revised:  We use both a mean-field approximation and Monte Carlo simulations to analyze the dynamics of the model. Information diffusion influences behavior change by allowing people to be aware of the disease and adopt self-protection, and subsequently affects disease transmission by changing the actual infection rate. Results show that (a) awareness plays a central role in preventing disease outbreak ;
Edit intent: meaning-changed
Original:  (d) it is more difficult to control the disease with asymptomatic cases. The results provide evidence that mass media should not play down the transmissibility and severity of diseases , so that the public can become aware of the disease as soon as possible .
Revised:  (d) social influence on behavior change can remarkably decrease the epidemic outbreak size. This research indicates that the media and opinion leaders should not understate the transmissibility and severity of diseases , so that the public can become aware of the disease as soon as possible .
Edit intent: meaning-changed
Original:  Online Social Networks have become an important medium for communication among people who suffer from mental disorders to share moments of hardship and to seek support. Here we analyze how Reddit discussions can help improve the health conditions of its users.
Revised:  Online Social Networks have become an important medium for communication among people who suffer from mental disorders to share moments of hardship , and receive emotional and informational support. In this work, we analyze how Reddit discussions can help improve the health conditions of its users.
Edit intent: meaning-changed
Original:  Using  emotional tone of user publications as a proxy for his emotional state, we uncover relationships between state changes and interactions he has in a given community. We observe that authors of negative posts often write more positive comments after engaging in discussions  .
Revised:  Using emotional tone of user publications as a proxy for his emotional state, we uncover relationships between user interactions and state changes. First, we observe that authors of negative posts often write more positive comments after engaging in discussions .
Edit intent: clarity
Original:  A longitudinal analysis that combines pageview statistics for 12 Wikipedia \WP language editions with mobility reports published by Apple and Google reveals a massive increase in access volume, accompanied by a stark shift in topical interests.
Revised:  A longitudinal analysis that combines pageview statistics for 12 \WP language editions with mobility reports published by Apple and Google reveals a massive increase in access volume, accompanied by a stark shift in topical interests.
Edit intent: clarity
Original:  A longitudinal analysis that combines pageview statistics for 12 Wikipedia \WP language editions with mobility reports published by Apple and Google reveals a massive increase in access volume, accompanied by a stark shift in topical interests. Health- and entertainment- related topics are found to have gained, and sports- and transportation- related topics, to have lost attention   .
Revised:  A longitudinal analysis that combines pageview statistics for 12 Wikipedia \WP language editions with mobility reports published by Apple and Google reveals massive shifts in the .
Edit intent: clarity