wanyu/IteraTeR_v2 huggingface dataset:
Original: We propose a simple model of inter-bank lending and borrowing incorporating a game feature where the evolution of monetary reserve is described by a system of coupled Feller diffusions.
Revised: We propose a simple model of inter-bank lending and borrowing incorporating a game feature where the evolution of monetary reserve is modeled as a system of coupled Feller diffusions.
Edit intent: clarity
Original:  The deposit rate diminishes the growth  of the total monetary reserve causing a large number of bank defaults.
Revised:  The deposit rate diminishes the growth rate of the total monetary reserve causing a large number of bank defaults.
Edit intent: fluency
Original:  In addition, the corresponding Mean Field Game in the case of the number of banks N large and the infinite time horizon stochastic game with the discount factor are also discussed.
Revised:  In addition, the corresponding Mean Field Game and the infinite time horizon stochastic game with the discount factor are also discussed.
Edit intent: coherence
Original:  This characterization leads to a method for constructing rational canal surfaces with prescribed symmetries, and it inspires an algorithm for computing the symmetries of such canal surfaces.
Revised:  In turn, this characterization inspires an algorithm for computing the symmetries of such canal surfaces.
Edit intent: coherence
Original: Collective social events operate at many levels of organization -- from individuals to crowds -- presenting a variety of temporal and spatial scales of activity, whose causal interactions challenge our understanding of social systems.
Revised: Crowd behaviour challenges our fundamental understanding of social phenomena. Involving complex interactions between multiple organizational levels and spanning a variety of temporal and spatial scales of activity, whose causal interactions challenge our understanding of social systems.
Edit intent: clarity
Original:  Using as a case study a data set comprising 1.5 million Twitter messages of the activity around the 15M movement in Spain as an example of multitudinous self-organization, we  propose a generic description of the coordination dynamics of the system based on phase-locking statistics at different frequencies using wavelet functions , identifying 8 frequency bands of entrained oscillations between 15 geographical urban nodes.
Revised:  Using as a case study a data set comprising 1.5 million Twitter messages from the 15M movement in Spain as an example of multitudinous self-organization, we propose a generic description of the coordination dynamics of the system based on phase-locking statistics at different frequencies using wavelet functions , identifying 8 frequency bands of entrained oscillations between 15 geographical urban nodes.
Edit intent: clarity
Original:  Using as a case study a data set comprising 1.5 million Twitter messages of the activity around the 15M movement in Spain as an example of multitudinous self-organization, we  propose a generic description of the coordination dynamics of the system based on phase-locking statistics at different frequencies using wavelet functions , identifying 8 frequency bands of entrained oscillations between 15 geographical urban nodes.
Revised:  Using as a case study a data set comprising 1.5 million Twitter messages of the activity around the 15M movement in Spain as an example of multitudinous self-organization, we propose a generic description of the coordination dynamics of the system measuring phase-locking statistics at different frequencies using wavelet functions , identifying 8 frequency bands of entrained oscillations between 15 geographical urban nodes.
Edit intent: clarity
Original:  Using as a case study a data set comprising 1.5 million Twitter messages of the activity around the 15M movement in Spain as an example of multitudinous self-organization, we  propose a generic description of the coordination dynamics of the system based on phase-locking statistics at different frequencies using wavelet functions , identifying 8 frequency bands of entrained oscillations between 15 geographical urban nodes.
Revised:  Using as a case study a data set comprising 1.5 million Twitter messages of the activity around the 15M movement in Spain as an example of multitudinous self-organization, we propose a generic description of the coordination dynamics of the system based on phase-locking statistics at different frequencies using wavelet transforms , identifying 8 frequency bands of entrained oscillations between 15 geographical urban nodes.
Edit intent: clarity
Original:  We apply maximum entropy inference methods to extract Ising models capturing phase-locking activity between geographical nodes in our data at each frequency band.
Revised:  Then we apply maximum entropy inference methods to extract Ising models capturing phase-locking activity between geographical nodes in our data at each frequency band.
Edit intent: fluency
Original:  We apply maximum entropy inference methods to extract Ising models capturing phase-locking activity between geographical nodes in our data at each frequency band.
Revised:  We apply maximum entropy inference methods to describe Ising models capturing phase-locking activity between geographical nodes in our data at each frequency band.
Edit intent: clarity
Original:  We apply maximum entropy inference methods to extract Ising models capturing phase-locking activity between geographical nodes in our data at each frequency band.
Revised:  We apply maximum entropy inference methods to extract Ising models capturing transient synchrony between geographical nodes in our data at each frequency band.
Edit intent: clarity
Original:  Inspecting the properties of the resulting models for each frequency we show that 1) all frequency bands of the system are operating in a regime of criticality and 2) while fast frequencies present only a few metastable states displaying all-or-none synchronization, slow frequencies present a variety of metastable states displaying distinct modes of partial synchronization.
Revised:  The models show that 1) all frequency bands of the system are operating in a regime of criticality and 2) while fast frequencies present only a few metastable states displaying all-or-none synchronization, slow frequencies present a variety of metastable states displaying distinct modes of partial synchronization.
Edit intent: clarity
Original:  Inspecting the properties of the resulting models for each frequency we show that 1) all frequency bands of the system are operating in a regime of criticality and 2) while fast frequencies present only a few metastable states displaying all-or-none synchronization, slow frequencies present a variety of metastable states displaying distinct modes of partial synchronization.
Revised:  Inspecting the properties of the resulting models for each frequency we show that 1) all frequency bands of the system are operating near critical points of their parameter space and 2) while fast frequencies present only a few metastable states displaying all-or-none synchronization, slow frequencies present a variety of metastable states displaying distinct modes of partial synchronization.
Edit intent: clarity
Original:  Inspecting the properties of the resulting models for each frequency we show that 1) all frequency bands of the system are operating in a regime of criticality and 2) while fast frequencies present only a few metastable states displaying all-or-none synchronization, slow frequencies present a variety of metastable states displaying distinct modes of partial synchronization.
Revised:  Inspecting the properties of the resulting models for each frequency we show that 1) all frequency bands of the system are operating in a regime of criticality and 2) while fast frequencies present only a few metastable states displaying all-or-none synchronization, slow frequencies present a diversity of metastable states displaying distinct modes of partial synchronization.
Edit intent: clarity
Original:  Inspecting the properties of the resulting models for each frequency we show that 1) all frequency bands of the system are operating in a regime of criticality and 2) while fast frequencies present only a few metastable states displaying all-or-none synchronization, slow frequencies present a variety of metastable states displaying distinct modes of partial synchronization.
Revised:  Inspecting the properties of the resulting models for each frequency we show that 1) all frequency bands of the system are operating in a regime of criticality and 2) while fast frequencies present only a few metastable states displaying all-or-none synchronization, slow frequencies present a variety of metastable states of partial synchronization.
Edit intent: clarity
Original:  Furthermore, describing states of coordination at each frequency  using the energy function inferred for each Ising model, we use symbolic transfer entropy to characterize cross-scale interactions between frequency bands, showing 1) a cascade of upward information flows in which each frequency band influences its contiguous slower frequency bands and 2) downward information flows where slow frequencies modulate distant fast frequencies.
Revised:  Furthermore, describing the state at each frequency using the energy function inferred for each Ising model, we use symbolic transfer entropy to characterize cross-scale interactions between frequency bands, showing 1) a cascade of upward information flows in which each frequency band influences its contiguous slower frequency bands and 2) downward information flows where slow frequencies modulate distant fast frequencies.
Edit intent: clarity
Original:  Furthermore, describing states of coordination at each frequency  using the energy function inferred for each Ising model, we use symbolic transfer entropy to characterize cross-scale interactions between frequency bands, showing 1) a cascade of upward information flows in which each frequency band influences its contiguous slower frequency bands and 2) downward information flows where slow frequencies modulate distant fast frequencies.
Revised:  Furthermore, describing states of coordination at each frequency band using the energy function inferred for each Ising model, we use symbolic transfer entropy to characterize cross-scale interactions between frequency bands, showing 1) a cascade of upward information flows in which each frequency band influences its contiguous slower frequency bands and 2) downward information flows where slow frequencies modulate distant fast frequencies.
Edit intent: fluency
Original:  Furthermore, describing states of coordination at each frequency  using the energy function inferred for each Ising model, we use symbolic transfer entropy to characterize cross-scale interactions between frequency bands, showing 1) a cascade of upward information flows in which each frequency band influences its contiguous slower frequency bands and 2) downward information flows where slow frequencies modulate distant fast frequencies.
Revised:  Furthermore, describing states of coordination at each frequency using the energy landscape of the corresponding Ising model, we use symbolic transfer entropy to characterize cross-scale interactions between frequency bands, showing 1) a cascade of upward information flows in which each frequency band influences its contiguous slower frequency bands and 2) downward information flows where slow frequencies modulate distant fast frequencies.
Edit intent: clarity
Original:  Furthermore, describing states of coordination at each frequency  using the energy function inferred for each Ising model, we use symbolic transfer entropy to characterize cross-scale interactions between frequency bands, showing 1) a cascade of upward information flows in which each frequency band influences its contiguous slower frequency bands and 2) downward information flows where slow frequencies modulate distant fast frequencies.
Revised:  Furthermore, describing states of coordination at each frequency using the energy function inferred for each Ising model, we compute transfer entropy to characterize cross-scale interactions between frequency bands, showing 1) a cascade of upward information flows in which each frequency band influences its contiguous slower frequency bands and 2) downward information flows where slow frequencies modulate distant fast frequencies.
Edit intent: clarity
Original:  Furthermore, describing states of coordination at each frequency  using the energy function inferred for each Ising model, we use symbolic transfer entropy to characterize cross-scale interactions between frequency bands, showing 1) a cascade of upward information flows in which each frequency band influences its contiguous slower frequency bands and 2) downward information flows where slow frequencies modulate distant fast frequencies.
Revised:  Furthermore, describing states of coordination at each frequency using the energy function inferred for each Ising model, we use symbolic transfer entropy to characterize cross-scale interactions between frequency bands, showing 1) a cascade of upward information flows in which each frequency band influences its contiguous slower bands and 2) downward information flows where slow frequencies modulate distant fast frequencies.
Edit intent: fluency
Original:  Involving complex interactions between multiple organizational levels and spanning a variety of temporal and spatial scales of activity, its governing mechanisms defy conventional analysis.
Revised:  Involving complex interactions between multiple temporal and spatial scales of activity, its governing mechanisms defy conventional analysis.
Edit intent: clarity
Original:  Using a data set comprising 1.5 million Twitter messages from the 15M movement in Spain as an example of multitudinous self-organization, we investigate the processes that underlie the coordination its spatial and temporal scales.
Revised:  Using 1.5 million Twitter messages from the 15M movement in Spain as an example of multitudinous self-organization, we investigate the processes that underlie the coordination its spatial and temporal scales.
Edit intent: clarity
Original:  We propose a generic description of the coordination dynamics of the system measuring phase-locking statistics at different frequencies using wavelet transforms, identifying 8 frequency bands of entrained oscillations between 15 geographical urban nodes.
Revised:  We propose a generic description of the coordination dynamics of the system measuring phase-locking statistics at different frequencies using wavelet transforms, identifying 8 frequency bands of entrained oscillations between 15 geographical nodes.
Edit intent: clarity
Original:  Then we apply maximum entropy inference methods to describe Ising models capturing transient synchrony between geographical nodes in our data at each frequency band.
Revised:  Then we apply maximum entropy inference methods to describe Ising models capturing transient synchrony in our data at each frequency band.
Edit intent: clarity
Original:  The models show that 1) all frequency bands of the system are operating near critical points of their parameter space and 2) while fast frequencies present only a few metastable states displaying all-or-none synchronization, slow frequencies present a diversity of metastable states of partial synchronization.
Revised:  The models show that 1) all frequency bands of the system operate near critical points of their parameter space and 2) while fast frequencies present only a few metastable states displaying all-or-none synchronization, slow frequencies present a diversity of metastable states of partial synchronization.
Edit intent: clarity
Original:  Furthermore, describing the state at each frequency band using the energy landscape of the corresponding Ising model, we compute transfer entropy to characterize cross-scale interactions between frequency bands, showing 1) a cascade of upward information flows in which each frequency band influences its contiguous slower bands and 2) downward information flows where slow frequencies modulate distant fast frequencies.
Revised:  Furthermore, describing the state at each frequency band using the energy of the corresponding Ising model, we compute transfer entropy to characterize cross-scale interactions between frequency bands, showing 1) a cascade of upward information flows in which each frequency band influences its contiguous slower bands and 2) downward information flows where slow frequencies modulate distant fast frequencies.
Edit intent: clarity
Original:  Under this framework we show how the use of a bit representation for the union of triangles, in combination with rank-select data structures, allows  to implicitly compute the union of n triangles with roughly O(1) bits per union boundary vertex.
Revised:  Under this framework we show how the use of a bit representation for the union of triangles, in combination with rank-select data structures, allows us to implicitly compute the union of n triangles with roughly O(1) bits per union boundary vertex.
Edit intent: fluency
Original:  This allows us to reduce the required working space by a factor \Theta(\log n)  while maintaining the running time.
Revised:  This allows us to reduce the required working space by a factor \Theta(\log n) , while maintaining the running time.
Edit intent: fluency
Original: In their study entitled "Constructing bibliometric networks: A comparison between full and fractional counting," Perianes-Rodriguez, Waltman, and van Eck (2016 , henceforth abbreviated as PWvE) provide arguments for the use of fractional counting at the network level as different from the level of publications.
Revised: In their study entitled "Constructing bibliometric networks: A comparison between full and fractional counting," Perianes-Rodriguez, Waltman, van Eck (2016 , henceforth abbreviated as PWvE) provide arguments for the use of fractional counting at the network level as different from the level of publications.
Edit intent: fluency
Original: In their study entitled "Constructing bibliometric networks: A comparison between full and fractional counting," Perianes-Rodriguez, Waltman, and van Eck (2016 , henceforth abbreviated as PWvE) provide arguments for the use of fractional counting at the network level as different from the level of publications.
Revised: In their study entitled "Constructing bibliometric networks: A comparison between full and fractional counting," Perianes-Rodriguez, Waltman, and van Eck (2016 ; henceforth abbreviated as PWvE) provide arguments for the use of fractional counting at the network level as different from the level of publications.
Edit intent: fluency
Original:  While the latter attribution divides the credit among co-authors (countries, institutions, etc.), fractional counting at the network level can normalize the relative weights of links and thereby--depending on the research question--clarify the structures in the network.
Revised:  Whereas fractional counting in the latter case divides the credit among co-authors (countries, institutions, etc.), fractional counting at the network level can normalize the relative weights of links and thereby--depending on the research question--clarify the structures in the network.
Edit intent: clarity
Original:  While the latter attribution divides the credit among co-authors (countries, institutions, etc.), fractional counting at the network level can normalize the relative weights of links and thereby--depending on the research question--clarify the structures in the network.
Revised:  While the latter attribution divides the credit among co-authors (countries, institutions, etc.), fractional counting at the network level can normalize the relative weights of links and thereby clarify the structures in the network.
Edit intent: clarity
Original:  However, PWvE propose a counting scheme for fractional counting that is one among other possible ones.
Revised:  PWvE, however, propose a counting scheme for fractional counting that is one among other possible ones.
Edit intent: coherence
Original:  PWvE discuss the alternative schemes proposed by Batagelj and Cerinsek (2013) and Park, Yoon, and Leydesdorff (2016 , henceforth abbreviated as PYL)  in an appendix.
Revised:  Alternative schemes proposed by Batagelj and Cerinsek (2013) and Park, Yoon, and Leydesdorff (2016 , henceforth abbreviated as PYL) in an appendix.
Edit intent: clarity
Original:  PWvE discuss the alternative schemes proposed by Batagelj and Cerinsek (2013) and Park, Yoon, and Leydesdorff (2016 , henceforth abbreviated as PYL)  in an appendix.
Revised:  PWvE discuss the alternative schemes proposed by Batagelj and Cerinsek (2013) and Park, Yoon, Leydesdorff (2016 , henceforth abbreviated as PYL) in an appendix.
Edit intent: fluency
Original:  PWvE discuss the alternative schemes proposed by Batagelj and Cerinsek (2013) and Park, Yoon, and Leydesdorff (2016 , henceforth abbreviated as PYL)  in an appendix.
Revised:  PWvE discuss the alternative schemes proposed by Batagelj and Cerinsek (2013) and Park, Yoon, and Leydesdorff (2016 ; henceforth abbreviated as PYL) in an appendix.
Edit intent: fluency
Original:  PWvE discuss the alternative schemes proposed by Batagelj and Cerinsek (2013) and Park, Yoon, and Leydesdorff (2016 , henceforth abbreviated as PYL)  in an appendix.
Revised:  PWvE discuss the alternative schemes proposed by Batagelj and Cerinsek (2013) and Park, Yoon, and Leydesdorff (2016 , henceforth abbreviated as PYL) are discussed in an appendix.
Edit intent: clarity
Original:  We model the problem of virtual network function (VNF)allocation by queuing system with  flexible number of queues, which captures variety of constraints including queue deployment and displacement, delay cost, holding cost, scheduling reward and fine.
Revised:  We model the problem of virtual network function (VNF)allocation by queuing system with a flexible number of queues, which captures variety of constraints including queue deployment and displacement, delay cost, holding cost, scheduling reward and fine.
Edit intent: fluency
Original:  We present an approach for generating dynamic narrative visualizations of scholars' careers.
Revised:  We present an approach for generating dynamic visualizations of scholars' careers.
Edit intent: clarity
Original:  We developed our design in collaboration with one funding organization---the Pew Biomedical Scholars program---but the methods are generalizable to visualizations of scholarly influence in general .
Revised:  We developed our design in collaboration with one funding organization---the Pew Biomedical Scholars program---but the methods are generalizable to visualizations of scholarly influence .
Edit intent: coherence
Original:  The current approach is based on a least "action " principle to efficiently calculate potential landscapes of systems under arbitrary noise strength and without detailed balance.
Revised:  The current approach is based on a least action principle to efficiently calculate potential landscapes of systems under arbitrary noise strength and without detailed balance.
Edit intent: fluency
Original:  The prevailing methods such as those based on WKB or Freidlin-Wentzell quasi-potential theory can be classified into the case of the present framework under small noise limit.
Edit intent: coherence
Original:  We demonstrate our approach in a numerically accurate manner through explicitly solvable examples.
Revised:  We demonstrate our approach in a numerically accurate manner through solvable examples.
Edit intent: clarity
Original:  To address this issue, we present a novel image dataset construction framework which can be generalized well to unseen target domains.
Revised:  To address this issue, we present a novel image dataset construction framework that can be generalized well to unseen target domains.
Edit intent: fluency