wanyu/IteraTeR_v2 huggingface dataset:
Original:  Our findings on student confession communities support contemporary sociological theories contextualizing student loneliness in the framework of social networks.
Revised:  Our findings on student confession communities support previous sociological research, contextualizing student loneliness in the framework of social networks.
Edit intent: clarity
Original:  Our findings on student confession communities support contemporary sociological theories contextualizing student loneliness in the framework of social networks.
Revised:  Our findings on student confession communities support contemporary sociological theories contextualizing student loneliness in the age of social networks.
Edit intent: clarity
Original: Confessions pages have grown popular on social media sites such as Facebookand Twitter, particularly within college communities.
Revised: Confessions pages are popular on Facebook, particularly amongst American undergraduate communities.
Edit intent: clarity
Original:  In this paper, we analyze several explanatory factors of online student confessional behavior.
Revised:  In this preliminary research note, I analyze several explanatory factors of online student confessional behavior.
Edit intent: clarity
Original:  Aggregating nearly 200,000 confessions posts spanning a period of 3 years, we combine Latent Dirichlet Allocation (LDA) with human verification through Mechanical Turk to scalably identify topics in our confessions.
Revised:  Aggregating nearly 200,000 confessions posts spanning a period of 3 years, I combine Latent Dirichlet Allocation (LDA) with human verification through Mechanical Turk to scalably identify topics in our confessions.
Edit intent: clarity
Original:  Aggregating nearly 200,000 confessions posts spanning a period of 3 years, we combine Latent Dirichlet Allocation (LDA) with human verification through Mechanical Turk to scalably identify topics in our confessions.
Revised:  Aggregating nearly 200,000 confessions posts spanning a period of 3 years, we combine Latent Dirichlet Allocation (LDA) with human verification through Mechanical Turk to scalably identify topics in these online confessions.
Edit intent: clarity
Original:  Where possible, we also match posts with real-world news events parsed from Twitter.
Revised:  Where possible, I also link posts to real-world news events parsed from Twitter.
Edit intent: clarity
Original:  We find that confessions mentioning socioeconomics and mental / physical health occur more often at top-ranking, expensive private undergraduate institutions, however there is no clear trend between tuition price and degree of socioeconomic discourse.
Revised:  I find that confessions mentioning socioeconomics and mental / physical health occur more often at top-ranking, expensive private undergraduate institutions, however there is no clear trend between tuition price and degree of socioeconomic discourse.
Edit intent: fluency
Original:  We find that confessions mentioning socioeconomics and mental / physical health occur more often at top-ranking, expensive private undergraduate institutions, however there is no clear trend between tuition price and degree of socioeconomic discourse.
Revised:  We find that confessions mentioning socioeconomics as well as mental and physical health occur more often at top-ranking, expensive private undergraduate institutions, however there is no clear trend between tuition price and degree of socioeconomic discourse.
Edit intent: clarity
Original:  Our results suggest that undergraduates from different campuses disclose about specific topics differently, while in aggregate, post in similar patterns over time and receive support for confessions about restricted topics such as mental health and socioeconomic status.
Revised:  Our results suggest that undergraduates from different campuses disclose about specific topics differently, while in aggregate, post in similar patterns over time and receive support for confessions on important, but taboo topics such as mental health and socioeconomic status.
Edit intent: clarity
Original:  Our results suggest that undergraduates from different campuses disclose about specific topics differently, while in aggregate, post in similar patterns over time and receive support for confessions about restricted topics such as mental health and socioeconomic status.
Revised:  Our results suggest that undergraduates from different campuses disclose about specific topics differently, while in aggregate, post in similar patterns over time and receive support for confessions about restricted topics such as health and socioeconomic status.
Edit intent: clarity
Original:  These findings represent new statistical tools for use in the biomedical sciences .
Revised:  We illustrate the power of our proposed methodology in the context of a large publicly available breast cancer data-set .
Edit intent: clarity
Original: In this paper we propose network methodology to infer prognostic cancer biomarkers , based on the epigenetic pattern DNA methylation.
Revised: In this paper we propose network methodology to infer prognostic cancer biomarkers based on the epigenetic pattern DNA methylation.
Edit intent: fluency
Original:  We illustrate the power of our proposed methodology in the context of a large publicly available breast cancer data-set .
Revised:  We illustrate the power of our proposed methodology in the context of a large publicly available breast cancer dataset .
Edit intent: clarity
Original: We study the dynamic service migration problem in mobile edge-clouds that host cloud-based services at the network edge.
Revised: In mobile edge computing, local edge servers can host cloud-based services at the network edge.
Edit intent: clarity
Original:  This offers the benefits of reduction in network overhead and latency but requires service migrations as user locationschange over time .
Revised:  This offers the benefits of reduction in network overhead and latency but requires service migrations as users move to new locations .
Edit intent: clarity
Original:  It is challenging to make these decisions in an optimal manner because of the uncertainty in node mobility as well as possible non-linearity of the migration and transmission costs .
Revised:  It is challenging to make migration decisions optimally because of the uncertainty in node mobility as well as possible non-linearity of the migration and transmission costs .
Edit intent: clarity
Original:  It is challenging to make these decisions in an optimal manner because of the uncertainty in node mobility as well as possible non-linearity of the migration and transmission costs .
Revised:  It is challenging to make these decisions in an optimal manner because of the uncertainty in such a dynamic cloud environment .
Edit intent: clarity
Original:  In this paper, we formulate a sequential decision making problem for service migration using the framework of Markov Decision Process (MDP).
Revised:  In this paper, we formulate the service migration problem as a Markov Decision Process (MDP).
Edit intent: clarity
Original:  We show that the resulting MDP is exact for uniform one-dimensional  mobility while it provides a close approximation for uniform two-dimensional mobility with a constant additive error term .
Revised:  We show that the resulting MDP is exact for uniform one-dimensional mobility while it provides a close approximation for uniform two-dimensional mobility with a constant additive error .
Edit intent: clarity
Original:  We also propose a new algorithm and a numerical technique for computing the optimal solution which is significantly faster in computation than traditional methods based on  value or policy iteration.
Revised:  We also propose a new algorithm and a numerical technique for computing the optimal solution which is significantly faster than traditional methods based on value or policy iteration.
Edit intent: clarity
Original:  We illustrate the effectiveness of our approach by simulation using real-world mobility traces of taxis in San Francisco .
Revised:  We illustrate the application of our solution in practical scenarios where many theoretical assumptions are relaxed. Our evaluations based on real-world mobility traces of taxis in San Francisco .
Edit intent: clarity
Original:  Our experiments with movies during an 11-year period showcase the system 's decent performance in predicting movie success.
Revised:  Experiment results with movies during an 11-year period showcase the system 's decent performance in predicting movie success.
Edit intent: clarity
Original: Social media and social networking sites have become a global pinboard for exposition and discussion of news, topics, and ideas, where social media users increasingly form their opinion about a particular topic by learning information about it from her peers.
Revised: Social media and social networking sites have become a global pinboard for exposition and discussion of news, topics, and ideas, where social media users often form their opinion about a particular topic by learning information about it from her peers.
Edit intent: clarity
Original:  In this context, whenever a user posts a message about a topic, we observe a noisy estimate of her current opinion about it but the influence the user may have on other users' opinions is hidden.
Revised:  In this context, whenever a user posts a message about a topic, we observe a noisy estimate of her current opinion about it , however, the influence the user may have on other users' opinions is hidden.
Edit intent: coherence
Original:  We then identify a set of conditions under which users' opinions converge to a steady state, find a linear relation between the initial opinions and the opinions in the steady state , and develop an efficient estimation method to fit the parameters of the model from historical fine-grained opinion and information diffusion event data.
Revised:  We then identify a set of conditions under which users' opinions converge to a steady state, find a linear relation between the initial and steady state opinions , and develop an efficient estimation method to fit the parameters of the model from historical fine-grained opinion and information diffusion event data.
Edit intent: clarity
Original:  We then identify a set of conditions under which users' opinions converge to a steady state, find a linear relation between the initial opinions and the opinions in the steady state , and develop an efficient estimation method to fit the parameters of the model from historical fine-grained opinion and information diffusion event data.
Revised:  We then identify a set of conditions under which users' opinions converge to a steady state, find a linear relation between the initial opinions and the opinions in the steady state , and develop an efficient estimation method to fit the model parameters from historical fine-grained opinion and information diffusion event data.
Edit intent: clarity
Original: Social media and social networking sites have become a global pinboard for exposition and discussion of news, topics, and ideas, where social media users often form their opinion about a particular topic by learning information about it from her peers .
Revised: Social media and social networking sites have become a global pinboard for exposition and discussion of news, topics, and ideas, where social media users often update their opinions about a particular topic by learning information about it from her peers .
Edit intent: clarity
Original: Social media and social networking sites have become a global pinboard for exposition and discussion of news, topics, and ideas, where social media users often form their opinion about a particular topic by learning information about it from her peers .
Revised: Social media and social networking sites have become a global pinboard for exposition and discussion of news, topics, and ideas, where social media users often form their opinion about a particular topic by learning from the opinions shared by their friends .
Edit intent: clarity
Original:  In this context, whenever a user posts a message about a topic, we observe a noisy estimate of her current opinion about it, however, the influence the user may have on other users' opinions is hidden.
Revised:  In this context, can we learn a data-driven model of opinion dynamics that is able to accurately forecast opinions from users?
Edit intent: clarity
Original:  We then identify a set of  conditions under which users' opinions converge to a steady state , find a linear relation between the initial and steady state opinions, and develop an efficient estimation method to fit the model parameters from historical fine-grained opinion and information diffusion event data . Experiments on data gathered from Twitter , Reddit and Amazon show that our model provides a good fit to the data and more accurate nowcasting and forecasting than alternatives.
Revised:  We then identify a set of conditions under which opinions converge to a steady state , find a linear relation between the initial and steady state opinions, and develop an efficient estimation method to fit the model parameters from historical fine-grained opinion and information diffusion event data . Experiments on data gathered from Twitter , Reddit and Amazon show that our model provides a good fit to the data and more accurate nowcasting and forecasting than alternatives.
Edit intent: clarity
Original:  We then identify a set of  conditions under which users' opinions converge to a steady state , find a linear relation between the initial and steady state opinions, and develop an efficient estimation method to fit the model parameters from historical fine-grained opinion and information diffusion event data . Experiments on data gathered from Twitter , Reddit and Amazon show that our model provides a good fit to the data and more accurate nowcasting and forecasting than alternatives.
Revised:  We then identify a set of conditions under which users' opinions converge to a steady state . Experiments on data gathered from Twitter , Reddit and Amazon show that our model provides a good fit to the data and more accurate nowcasting and forecasting than alternatives.
Edit intent: coherence
Original:  We then identify a set of  conditions under which users' opinions converge to a steady state , find a linear relation between the initial and steady state opinions, and develop an efficient estimation method to fit the model parameters from historical fine-grained opinion and information diffusion event data . Experiments on data gathered from Twitter , Reddit and Amazon show that our model provides a good fit to the data and more accurate nowcasting and forecasting than alternatives.
Revised:  We then identify a set of conditions under which users' opinions converge to a steady state , find a linear relation between the initial and steady state opinions, and develop an efficient estimation method to fit the model parameters from historical fine-grained opinion and information diffusion event data . Experiments on data gathered from Twitter , Reddit and Amazon show that our model provides a good fit to the data and our formulas achieve more accurate forecasting than alternatives.
Edit intent: clarity
Original:  Previous studies have numerically shown that these systems can exhibit bimodal dynamics without possessing two stable fixed points in the deterministic rate equations .
Revised:  Previous studies have numerically shown that these systems can exhibit bimodal dynamics without possessing two stable fixed points at the deterministic level .
Edit intent: clarity
Original:  We analytically show that bimodality is induced by the noise and reveal the critical repression strength which controls a transition between the bimodal and non-bimodal regimes.
Revised:  We analytically show that bimodality is induced by the noise and find the critical repression strength which controls a transition between the bimodal and non-bimodal regimes.
Edit intent: clarity
Original:  We analytically show that bimodality is induced by the noise and reveal the critical repression strength which controls a transition between the bimodal and non-bimodal regimes.
Revised:  We analytically show that bimodality is induced by the noise and reveal the critical repression strength that controls a transition between the bimodal and non-bimodal regimes.
Edit intent: fluency
Original:  Moreover, we show that the mean switching time between bimodal states scales polynomially in the system size .
Revised:  Moreover, we show that the mean switching time between bimodal states .
Edit intent: clarity
Original:  Moreover, there are a number of important practical limitations in the implementation of CSO schemes  such as the need for minimizing the real-time complexity and the number of transitions as well as handovers.
Revised:  Moreover, there are a number of important practical limitations in the implementation of CSO schemes , such as the need for minimizing the real-time complexity and the number of transitions as well as handovers.
Edit intent: fluency
Original:  Moreover, there are a number of important practical limitations in the implementation of CSO schemes  such as the need for minimizing the real-time complexity and the number of transitions as well as handovers.
Revised:  Moreover, there are a number of important practical limitations in the implementation of CSO schemes such as the need for minimizing the real-time complexity and the number of on-off/off-on transitions and CSO-induced handovers.
Edit intent: clarity
Original:  The method distinguishes itself from the other proposals in two ways: 1) The number of cell switch on / off transitions as well as handovers are minimized, and 2) the computationally-heavy part of the algorithm is executed offline, which makes its implementation feasible.
Revised:  The framework distinguishes itself from the other proposals in two ways: 1) The number of cell switch on / off transitions as well as handovers are minimized, and 2) the computationally-heavy part of the algorithm is executed offline, which makes its implementation feasible.
Edit intent: clarity
Original:  The method distinguishes itself from the other proposals in two ways: 1) The number of cell switch on / off transitions as well as handovers are minimized, and 2) the computationally-heavy part of the algorithm is executed offline, which makes its implementation feasible.
Revised:  The method distinguishes itself from other proposals in two ways: 1) The number of cell switch on / off transitions as well as handovers are minimized, and 2) the computationally-heavy part of the algorithm is executed offline, which makes its implementation feasible.
Edit intent: fluency
Original:  The method distinguishes itself from the other proposals in two ways: 1) The number of cell switch on / off transitions as well as handovers are minimized, and 2) the computationally-heavy part of the algorithm is executed offline, which makes its implementation feasible.
Revised:  The method distinguishes itself from the other proposals in two ways: 1) The number of on-off / off transitions as well as handovers are minimized, and 2) the computationally-heavy part of the algorithm is executed offline, which makes its implementation feasible.
Edit intent: clarity
Original:  The method distinguishes itself from the other proposals in two ways: 1) The number of cell switch on / off transitions as well as handovers are minimized, and 2) the computationally-heavy part of the algorithm is executed offline, which makes its implementation feasible.
Revised:  The method distinguishes itself from the other proposals in two ways: 1) The number of cell switch on / off-on transitions as well as handovers are minimized, and 2) the computationally-heavy part of the algorithm is executed offline, which makes its implementation feasible.
Edit intent: clarity
Original:  The results show that the proposed scheme achieves substantial energy savings in small cell deployments where traffic is highly unbalanced, with neither compromising the Quality-of-Service (QoS) nor requiring heavy real-time processing.
Revised:  The results show that the proposed scheme achieves substantial energy savings in small cell deployments where service demand is not uniformly distributed, without compromising the Quality-of-Service (QoS) nor requiring heavy real-time processing.
Edit intent: clarity
Original:  The results show that the proposed scheme achieves substantial energy savings in small cell deployments where traffic is highly unbalanced, with neither compromising the Quality-of-Service (QoS) nor requiring heavy real-time processing.
Revised:  The results show that the proposed scheme achieves substantial energy savings in small cell deployments where traffic is highly unbalanced, with neither compromising the Quality-of-Service (QoS) or requiring heavy real-time processing.
Edit intent: fluency
Original:  We show that \alpha(n) -approximations for n-vertex metric asymmetric TSP (\triangle-ATSP) yield (\alpha(C) + 1)-approximations for DRPP, (\alpha(C)+3)-approximations for MWRPP, and O(\alpha(C +1))-approximations for MWCARP , where C is the number of weakly connected components induced by positive-demand edges and arcs.
Revised:  We show that \alpha(n) -approximation algorithm for the n-vertex metric asymmetric TSP (\triangle-ATSP) yield (\alpha(C) + 1)-approximations for DRPP, (\alpha(C)+3)-approximations for MWRPP, and O(\alpha(C +1))-approximations for MWCARP , where C is the number of weakly connected components induced by positive-demand edges and arcs.
Edit intent: clarity
Original:  This normalization is currently performed following approaches resting on an implicit assumption that most genes are not differentially expressed.
Revised:  This normalization is currently performed following an implicit assumption that most genes are not differentially expressed.
Edit intent: clarity
Original:  We have found that variation in gene expression is much greater than currently believed, and that it can be measured with available technologies.
Revised:  We have found that variation in gene expression is much greater than currently believed, and it can be measured with available technologies.
Edit intent: coherence
Original:  We expect this improvement in detection to help efforts to realize the full potential of gene expression profiling, especially in analyses of cellular processes involving complex modulations of gene expression , such as cell differentiation, toxic responses and cancer .
Revised:  We expect this improvement in detection to help efforts to realize the full potential of gene expression profiling, especially in analyses of cellular processes involving complex modulations of gene expression .
Edit intent: clarity
Original:  A key challenge in the data analysis is the normalization of gene expression levels, which is currently performed following an implicit assumption that most genes are not differentially expressed.
Revised:  A key challenge in the data analysis is the normalization of gene expression levels, which is currently performed following the implicit assumption that most genes are not differentially expressed.
Edit intent: fluency
Original:  We have found that variation in gene expression is much greater than currently believed, and  it can be measured with available technologies .
Revised:  We have found that variation in gene expression is much larger than currently believed, and it can be measured with available technologies .
Edit intent: clarity
Original:  We have found that variation in gene expression is much greater than currently believed, and  it can be measured with available technologies .
Revised:  We have found that variation in gene expression is much greater than currently believed, and that it can be measured with available technologies .
Edit intent: fluency
Original:  We have found that variation in gene expression is much greater than currently believed, and  it can be measured with available technologies .
Revised:  We have found that variation in gene expression is much greater than currently believed, and it can be measured with available assays .
Edit intent: clarity