wanyu/IteraTeR_v2 huggingface dataset:
Original: The aim of this paper is to determine the general preferential attachment function and author fitness, which describe the rich get richer and  fit get richer phenomena , in the co-authorship and citation networks of the  strategic management scientific community .
Revised: The aim of this paper is to determine the general preferential attachment function and author fitness, which describe the rich get richer and the fit get richer phenomena , in the co-authorship and citation networks of the strategic management scientific community .
Edit intent: fluency
Original: The aim of this paper is to determine the general preferential attachment function and author fitness, which describe the rich get richer and  fit get richer phenomena , in the co-authorship and citation networks of the  strategic management scientific community .
Revised: The aim of this paper is to determine the general preferential attachment function and author fitness, which describe the rich get richer and fit get richer phenomena , in the co-authorship and citation networks of the flagship journal of the strategic management scientific community .
Edit intent: clarity
Original:  The results suggest the co-authorship and citation temporal networksare governed by both the fit get richer and the rich get richer processes .
Revised:  The results suggest that the abovementioned phenomena have been consistently governing both temporal networks .
Edit intent: clarity
Original:  The average of the attachment exponents in the co-author network is 0.3 while it is 0.29 in the citation network , which suggests the rich get richer phenomenon is similarly weak in both networks.
Revised:  The average of the attachment exponents in the co-author network is 0.3 while it is 0.29 in the citation network . This suggests that the rich get richer phenomenon is similarly weak in both networks.
Edit intent: coherence
Original:  The average of the attachment exponents in the co-author network is 0.3 while it is 0.29 in the citation network , which suggests the rich get richer phenomenon is similarly weak in both networks.
Revised:  The average of the attachment exponents in the co-author network is 0.3 while it is 0.29 in the citation network , which suggests the rich get richer phenomenon has been weak in both networks.
Edit intent: clarity
Original:  On the other hand, the distributions of author fitness in both networks have long right tail, which implies that the intrinsic scientific quality of each author plays a crucial role in getting new citations and new co-authorships.
Revised:  The right tails of the distributions of author fitness in both networks have long right tail, which implies that the intrinsic scientific quality of each author plays a crucial role in getting new citations and new co-authorships.
Edit intent: clarity
Original:  On the other hand, the distributions of author fitness in both networks have long right tail, which implies that the intrinsic scientific quality of each author plays a crucial role in getting new citations and new co-authorships.
Revised:  On the other hand, the distributions of author fitness in both networks have long right tail, which implies that the intrinsic scientific quality of each author has been playing a crucial role in getting new citations and new co-authorships.
Edit intent: clarity
Original:  Furthermore, author fitness in both co-authorship and citation networks are found to be consistent with the history of the strategic management scientific community  .
Revised:  Furthermore, author fitness in both networks has been consistent with the history of the strategic management scientific community .
Edit intent: clarity
Original:  We show that it captures the expressive power of the vertical fragment of XPATH ---containing the child, descendant, parent and ancestor axes--- obtaining thus a decision procedure for its satisfiability problem.
Revised:  We show that it captures the expressive power of the vertical fragment of XPath - containing the child, descendant, parent and ancestor axes--- obtaining thus a decision procedure for its satisfiability problem.
Edit intent: fluency
Original:  We show that it captures the expressive power of the vertical fragment of XPATH ---containing the child, descendant, parent and ancestor axes--- obtaining thus a decision procedure for its satisfiability problem.
Revised:  We show that it captures the expressive power of the vertical fragment of XPATH ---containing the child, descendant, parent and ancestor axes - obtaining thus a decision procedure for its satisfiability problem.
Edit intent: fluency
Original: The assumption that the values of model parameters are known or correctly learned, i.e., the Nishimori condition, is one of the requirements for the detectability analysis of the stochastic blockmodel in statistical inference.
Revised: The assumption that the values of model parameters are known or correctly learned, i.e., the Nishimori condition, is one of the requirements for the detectability analysis of the stochastic block model in statistical inference.
Edit intent: fluency
Original:  In this study, we consider the expectation-maximization (EM) algorithm with belief propagation (BP) and derive its algorithmic detectability threshold.
Revised:  In this study, we consider the expectation--maximization (EM) algorithm with belief propagation (BP) and derive its algorithmic detectability threshold.
Edit intent: fluency
Original:  Using this, we identify geometric criteria on the control polygon that guarantee that a B\'ezier curve  is within 1 percent of its arc-length to an elastic curve  .
Revised:  We then identify geometric criteria on the control polygon that guarantee that a B\'ezier curve is within 1 percent of its arc-length to an elastic curve .
Edit intent: coherence
Original:  One of the most appropriate mathematical tools to study this behaviour and its implications at multiple scales in a multiple-agent system is the velocity-jump process.
Revised:  One of the most appropriate mathematical tools to study this behaviour is an agent-based velocity-jump process.
Edit intent: clarity
Original:  We investigate the properties of the model  and we elucidate some of the  key characteristic features of interacting persistent agents .
Revised:  We investigate the properties of the model and we elucidate some of the models' key characteristic features of interacting persistent agents .
Edit intent: clarity
Original:  We investigate the properties of the model  and we elucidate some of the  key characteristic features of interacting persistent agents .
Revised:  We investigate the properties of the model and we elucidate some of the key characteristic features .
Edit intent: clarity
Original:  In particular, we show an intrinsic anisotropy of the model and we find evidence of a spontaneous form of aggregation at both the micro- and macro-scales.
Revised:  In particular, we show an intrinsic anisotropy inherent to the models and we find evidence of a spontaneous form of aggregation at both the micro- and macro-scales.
Edit intent: clarity
Original: Recent surveys have shown that an increasing portion of the US public believes the two major US parties inadequately represent the US public opinion , and think additional parties are needed.
Revised: Recent surveys have shown that an increasing portion of the US public believes the two major US parties adequately represent the US public opinion , and think additional parties are needed.
Edit intent: fluency
Original: Recent surveys have shown that an increasing portion of the US public believes the two major US parties inadequately represent the US public opinion , and think additional parties are needed.
Revised: Recent surveys have shown that an increasing portion of the US public believes the two major US parties inadequately represent the US public opinion and think additional parties are needed.
Edit intent: fluency
Original:  To address these questions, we utilize the American National Election Studies Time series dataset , a dataset of opinion surveys of 20,502 individuals over multiple political issues since 1948.
Revised:  To address these questions, we utilize the American National Election Studies Time series dataset .
Edit intent: coherence
Original:  We investigate if more than 2 parties represent the population better by comparing the Akaike Information Criteria for clustering results of  various number of clusters.
Revised:  We investigate if more than two parties represent the population better by comparing the Akaike Information Criteria for clustering results of various number of clusters.
Edit intent: fluency
Original:  We investigate if more than 2 parties represent the population better by comparing the Akaike Information Criteria for clustering results of  various number of clusters.
Revised:  We investigate if more than 2 parties represent the population better by comparing the Akaike Information Criteria for clustering results of the various number of clusters.
Edit intent: fluency
Original:  We find that additional clusters give  better representation of the data, even after penalizing for the additional parameters.
Revised:  We find that additional clusters give a better representation of the data, even after penalizing for the additional parameters.
Edit intent: fluency
Original:  I prove that the problem is NP-Hard and show a way of modeling this problem as a maximum weighted stable set problem.
Revised:  I show a way of modeling this problem as a maximum weighted stable set problem.
Edit intent: coherence
Original: The key attribute that drives the unprecedented success of modern Recurrent Neural Networks (RNNs) on learning tasks which involve sequential data, is their ever-improving ability to model intricate long-term temporal dependencies.
Revised: A key attribute that drives the unprecedented success of modern Recurrent Neural Networks (RNNs) on learning tasks which involve sequential data, is their ever-improving ability to model intricate long-term temporal dependencies.
Edit intent: fluency
Original: The key attribute that drives the unprecedented success of modern Recurrent Neural Networks (RNNs) on learning tasks which involve sequential data, is their ever-improving ability to model intricate long-term temporal dependencies.
Revised: The key attribute that drives the unprecedented success of modern Recurrent Neural Networks (RNNs) on learning tasks which involve sequential data, is their ability to model intricate long-term temporal dependencies.
Edit intent: clarity
Original:  However, an adequate measure of RNNs long-term memory capacity is lacking, and thus formal understanding of  their ability to correlate data throughout time is limited.
Revised:  However, a well established measure of RNNs long-term memory capacity is lacking, and thus formal understanding of their ability to correlate data throughout time is limited.
Edit intent: clarity
Original:  Though depth efficiency in convolutional networks is well established, it does not suffice in order to account for the success of deep RNNs on data of varying lengths , and the need to address their `time-series expressive power' arises.
Revised:  Specifically, existing depth efficiency results on convolutional networks do not suffice in order to account for the success of deep RNNs on data of varying lengths , and the need to address their `time-series expressive power' arises.
Edit intent: clarity
Original:  To meet the above need, we introduce a measure of the  information flow across time supported by the network , referred to as the Start-End separation rank .
Revised:  To meet the above need, we introduce a measure of the network's ability to support information flow across time supported by the network , referred to as the Start-End separation rank .
Edit intent: clarity
Original:  To meet the above need, we introduce a measure of the  information flow across time supported by the network , referred to as the Start-End separation rank .
Revised:  To meet the above need, we introduce a measure of the information flow across time , referred to as the Start-End separation rank .
Edit intent: clarity
Original:  This measure essentially reflects the distance of the function realized by the recurrent network from a function that models no interaction whatsoever between the beginning and end of the input sequence.
Revised:  This measure essentially reflects the distance of the function realized by the recurrent network from modeling no dependency between the beginning and end of the input sequence.
Edit intent: clarity
Original:  We obtain our results by considering a class of recurrent networks referred to as Recurrent Arithmetic Circuits (RACs) , which merge the hidden state with the input via the Multiplicative Integration operation  .
Revised:  We obtain our results by considering a class of recurrent networks referred to as Recurrent Arithmetic Circuits , which merge the hidden state with the input via the Multiplicative Integration operation .
Edit intent: clarity
Original:  Finally, we make use of the tool of quantum Tensor Networks to gain additional graphic insight regarding the complexity brought forth by depth in recurrent networks.
Revised:  Finally, we employ the tool of quantum Tensor Networks to gain additional graphic insight regarding the complexity brought forth by depth in recurrent networks.
Edit intent: clarity
Original:  To answer whether chirality can provide a direct fitnessadvantage , we developed a minimal reaction-diffusion model of chiral growth in compact microbial colonies.
Revised:  To answer whether chirality can provide a direct fitnessadvantage , we developed a model of chiral growth in compact microbial colonies.
Edit intent: clarity
Original:  Selection for specific chirality is mediated by bulges along the colony edge that appear in regions where the strains with different chiralities meet.
Revised:  Selection for specific chirality is mediated by bulges in regions where the strains with different chiralities meet.
Edit intent: clarity
Original:  Selection for specific chirality is mediated by bulges along the colony edge that appear in regions where the strains with different chiralities meet.
Revised:  Selection for specific chirality is mediated by bulges along the colony edge that appear in regions where the cells with different chiralities meet.
Edit intent: clarity
Original:  We developed an analytical framework to study this two-way coupling between selection and colony shape , which is ubiquitous in spatially structured populations yet remains poorly understood.
Revised:  The two-way coupling between selection and colony shape , which is ubiquitous in spatially structured populations yet remains poorly understood.
Edit intent: clarity
Original:  For chiral strains, the theory of population dynamics is described by the chiral KPZ equation coupled to the Burger' s equation with multiplicative noise.
Revised:  For chiral strains, the theory of population dynamics is described by the chiral KPZ equation coupled to the Burgers' equation with multiplicative noise.
Edit intent: fluency
Original:  We obtain exact solutions for the key features of this theory including the shape of the bulges and their effect on competition between the strains .
Revised:  We solve for the key features of this theory including the shape of the bulges and their effect on competition between the strains .
Edit intent: clarity
Original:  We obtain exact solutions for the key features of this theory including the shape of the bulges and their effect on competition between the strains .
Revised:  We obtain exact solutions for the key features of this theory to explain the origin of selection on chirality .
Edit intent: clarity
Original:  To avoid semantic ambi- guity , such a semantics is expected to be coherent, i.e., independent of the typing deriva- tion for a given typing judgment.
Revised:  To avoid semantic ambiguity , such a semantics is expected to be coherent, i.e., independent of the typing deriva- tion for a given typing judgment.
Edit intent: fluency
Original:  To avoid semantic ambi- guity , such a semantics is expected to be coherent, i.e., independent of the typing deriva- tion for a given typing judgment.
Revised:  To avoid semantic ambi- guity , such a semantics is expected to be coherent, i.e., independent of the typing derivation for a given typing judgment.
Edit intent: fluency
Original:  In this article we present heterogeneous, biorthogonal, step-indexed logical relations for establishing the coherence of coercion semantics of pro- gramming languages with subtyping.
Revised:  In this article we present heterogeneous, biorthogonal, step-indexed logical relations for establishing the coherence of coercion semantics of programming languages with subtyping.
Edit intent: fluency
Original:  We give the optimal solution to the joint problem for the PPP deployment.
Revised:  We give the optimal solution to the joint problem for PPP deployment.
Edit intent: fluency
Original:  We show that storing the most popular content in the MBSs is almost optimal if the SBSs are using optimal placement policy.
Revised:  We show that storing the most popular content in the MBSs is almost optimal if the SBSs are placement policy.
Edit intent: clarity
Original:  Due to this challenge, radiologists need computer aided diagnosis (CAD) systems to assist in learning discriminative imaging features corresponding to malignant and benign nodules.
Revised:  To address this challenge, radiologists need computer aided diagnosis (CAD) systems to assist in learning discriminative imaging features corresponding to malignant and benign nodules.
Edit intent: style
Original:  Due to this challenge, radiologists need computer aided diagnosis (CAD) systems to assist in learning discriminative imaging features corresponding to malignant and benign nodules.
Revised:  Due to this challenge, radiologists need computer aided diagnosis (CAD) systems which can assist in learning discriminative imaging features corresponding to malignant and benign nodules.
Edit intent: clarity
Original:  To the best of our knowledge, our study is the first to automatically diagnose IPMN using deep learning and multi-modal MRI.
Revised:  To the best of our knowledge, our study is the first to automatically diagnose IPMN using multi-modal MRI.
Edit intent: clarity
Original:  Second, we extend the model to consider mutations at multiple sites on the genome.
Revised:  Second, we extend the framework to consider mutations at multiple sites on the genome.
Edit intent: clarity
Original:  Second, we extend the model to consider mutations at multiple sites on the genome.
Revised:  Second, we extend the model to consider mutations at multiple sites along the genome.
Edit intent: clarity
Original:  Our predictions are consistent with genomic data from tumours .
Revised:  Our predictions are consistent with previously published cancer genomic data .
Edit intent: clarity
Original: Consider a countably infinite collection of coupled queuesrepresenting a large wireless network with a queue  at each point of the d-dimensional integer grid .
Revised: Consider a countably infinite collection of interacting queues, with a queue at each point of the d-dimensional integer grid .
Edit intent: clarity
Original: Consider a countably infinite collection of coupled queuesrepresenting a large wireless network with a queue  at each point of the d-dimensional integer grid .
Revised: Consider a countably infinite collection of coupled queuesrepresenting a large wireless network with a queue located at each point of the d-dimensional integer grid .
Edit intent: clarity
Original:  More precisely, the service discipline is translation invariant and of the processor sharing type,with the service rate in each queue slowed down, when the neighboring queues have a larger workload.
Revised:  More precisely, the service discipline is of the processor sharing type,with the service rate in each queue slowed down, when the neighboring queues have a larger workload.
Edit intent: coherence
Original:  It is neither reversible nor asymptotically product form, as in the mean-field setting . Coupling and percolation techniques are first used to show that this dynamics has well defined trajectories.
Revised:  It is neither reversible nor asymptotically product form, as in the mean-field type . Coupling and percolation techniques are first used to show that this dynamics has well defined trajectories.
Edit intent: clarity
Original:  Coupling from the past techniques of the Loynes' type are then proposed to build its minimal stationary regime.
Revised:  Coupling from the past techniques are then proposed to build its minimal stationary regime.
Edit intent: clarity
Original:  This regime is the one obtained when starting from the all empty initial condition in the distant past.
Edit intent: coherence
Original:  Surprisingly however , there exists another range of larger though finite initial conditions for which the dynamics diverges, even though stability criterion holds.
Revised:  Nevertheless , there exists another range of larger though finite initial conditions for which the dynamics diverges, even though stability criterion holds.
Edit intent: coherence
Original: We consider cell line classification using multivariate time series data obtained from Electric Cell-substrate Impedance Sensing (ECIS) technology.
Revised: We consider cell line classification using multivariate time series data obtained from electric cell-substrate impedance sensing (ECIS) technology.
Edit intent: fluency
Original:  We greatly broaden the scope of ECIS by considering simultaneous tracking of multiple cell lines in a search for new methods that can help mitigate the current reproducibility crisis in the biological literature.
Revised:  However, we show that if applied to data from multiple cell lines in a search for new methods that can help mitigate the current reproducibility crisis in the biological literature.
Edit intent: coherence
Original:  We greatly broaden the scope of ECIS by considering simultaneous tracking of multiple cell lines in a search for new methods that can help mitigate the current reproducibility crisis in the biological literature.
Revised:  We greatly broaden the scope of ECIS by considering simultaneous tracking of multiple cell lines in a search for new methods that can help mitigate the current crisis of reproducibility in the biological literature.
Edit intent: fluency
Original:  We consider classification of fifteen different mammalian cell lines, construct a dictionary of 29 different characteristic features, and obtain 95\% accuracy out-of-sample .
Revised:  We consider classification of fifteen different mammalian cell lines, we obtain very high out-of-sample .
Edit intent: clarity
Original: Stochasticity and limited precision of synaptic weights in neural network models is a key aspect of both biological and hardware modeling of learning processes.
Revised: Stochasticity and limited precision of synaptic weights in neural network models are key aspects of both biological and hardware modeling of learning processes.
Edit intent: fluency
Original:  Here we show that a neural network model with stochastic binary weights naturally gives prominence to exponentially rare dense regions of solutions with a number of desirable properties such as robustness and good generalization per- formance , while typical solutions are isolated and hard to find.
Revised:  Here we show that a neural network model with stochastic binary weights naturally gives prominence to exponentially rare dense regions of solutions with a number of desirable properties such as robustness and good generalization performance , while typical solutions are isolated and hard to find.
Edit intent: fluency
Original: Neural network-based systems can now learn to locate the referents of words and phrases in images, answer questions about visual scenes, and even execute symbolic instructions as first-person actors in partially-observable worlds.
Revised: Neural network-based systems can now learn to locate the referents of words and phrases in images, answer questions about visual scenes, and execute symbolic instructions as first-person actors in partially-observable worlds.
Edit intent: coherence