wanyu/IteraTeR_v2 huggingface dataset:
Original:  A new metric, which combines PageRank centrality with the explicit requirement that paper score is not biased by paper age, outperforms the others in identifying the Milestone Letters short after they are published .
Revised:  A new metric, which combines PageRank centrality with the explicit requirement that paper score is not biased by paper age, outperforms the others in identifying the Milestone Letters .
Edit intent: clarity
Original:  We find that network-based metrics generally identify the Milestone Letters better than metrics based on the citation count, which suggests that the structure of the citation network contains information that can be used to improve the ranking of scientific publications.
Revised:  We find that network-based metrics identify the Milestone Letters better than metrics based on the citation count, which suggests that the structure of the citation network contains information that can be used to improve the ranking of scientific publications.
Edit intent: coherence
Original: Citations between scientific papers and related bibliometric indices, such as the h-index for authors and the impact factor for journals, are being increasingly used -- often in controversial ways -- as quantitative tools for research evaluation.
Revised: Citations between scientific papers and related bibliometric indices, such as the h-index for authors and the impact factor for journals, are being increasingly used - often in controversial ways -- as quantitative tools for research evaluation.
Edit intent: fluency
Original: Citations between scientific papers and related bibliometric indices, such as the h-index for authors and the impact factor for journals, are being increasingly used -- often in controversial ways -- as quantitative tools for research evaluation.
Revised: Citations between scientific papers and related bibliometric indices, such as the h-index for authors and the impact factor for journals, are being increasingly used -- often in controversial ways - as quantitative tools for research evaluation.
Edit intent: fluency
Original:  \Phi^{C} exhibits following salient innovations: (i) mathematically well bounded, (ii) negligible current state dependence unlike \Phi, (iii) integrated information measured as compression-complexity rather than as an infotheoretic quantity, and (iv) faster to compute since number of atomic partitions scales linearly with the number of nodes of the network, thus avoiding combinatorial explosion.
Revised:  \Phi^{C} exhibits following salient innovations: (i) mathematically well bounded, (ii) negligible current state dependence unlike \Phi, (iii) integrated information measured as compression-complexity rather than as an infotheoretic quantity, and (iv) faster to compute since number of atomic bipartitions scales linearly with the number of nodes of the network, thus avoiding combinatorial explosion.
Edit intent: fluency
Original:  In this article, we demonstrate that a theoretical amoeba approximation method due to Purbhoo can be used effectively in practice.
Revised:  In this article, we demonstrate that a theoretical amoeba approximation method due to Purbhoo can be used efficiently in practice.
Edit intent: clarity
Original:  We use the same approach to give an approximation of a semi-algebraic description of the Log preimage of the amoeba of a Laurent polynomial  .
Revised:  We use the same approach to give an approximation of the Log preimage of the amoeba of a Laurent polynomial .
Edit intent: clarity
Original:  By employing WKB approximation for the master equation, the problem is reduced to finding the zero-energy trajectories in an effective Hamiltonian system, and the mean extinction time \langle T\rangle depend exponentially on the associated action S  and the size of the population N, \langle T\rangle \sim \exp( NS  ). Because of quantitatively different bifurcation features for m=1 and m\geq2, we derive independently the expressions of S  as a function of the rescaled infection rate \lambda/\mu.
Revised:  By employing WKB approximation for the master equation, the problem is reduced to finding the zero-energy trajectories in an effective Hamiltonian system, and the mean extinction time \langle T\rangle depend exponentially on the associated action S S and the size of the population N, \langle T\rangle \sim \exp( NS ). Because of quantitatively different bifurcation features for m=1 and m\geq2, we derive independently the expressions of S as a function of the rescaled infection rate \lambda/\mu.
Edit intent: fluency
Original:  By employing WKB approximation for the master equation, the problem is reduced to finding the zero-energy trajectories in an effective Hamiltonian system, and the mean extinction time \langle T\rangle depend exponentially on the associated action S  and the size of the population N, \langle T\rangle \sim \exp( NS  ). Because of quantitatively different bifurcation features for m=1 and m\geq2, we derive independently the expressions of S  as a function of the rescaled infection rate \lambda/\mu.
Revised:  By employing WKB approximation for the master equation, the problem is reduced to finding the zero-energy trajectories in an effective Hamiltonian system, and the mean extinction time \langle T\rangle depend exponentially on the associated action S and the size of the population N, \langle T\rangle \sim \exp( NS S ). Because of quantitatively different bifurcation features for m=1 and m\geq2, we derive independently the expressions of S as a function of the rescaled infection rate \lambda/\mu.
Edit intent: clarity
Original:  By employing WKB approximation for the master equation, the problem is reduced to finding the zero-energy trajectories in an effective Hamiltonian system, and the mean extinction time \langle T\rangle depend exponentially on the associated action S  and the size of the population N, \langle T\rangle \sim \exp( NS  ). Because of quantitatively different bifurcation features for m=1 and m\geq2, we derive independently the expressions of S  as a function of the rescaled infection rate \lambda/\mu.
Revised:  By employing WKB approximation for the master equation, the problem is reduced to finding the zero-energy trajectories in an effective Hamiltonian system, and the mean extinction time \langle T\rangle depend exponentially on the associated action S and the size of the population N, \langle T\rangle \sim \exp( NS ). Because of qualitatively different bifurcation features for m=1 and m\geq2, we derive independently the expressions of S as a function of the rescaled infection rate \lambda/\mu.
Edit intent: fluency
Original:  By employing WKB approximation for the master equation, the problem is reduced to finding the zero-energy trajectories in an effective Hamiltonian system, and the mean extinction time \langle T\rangle depend exponentially on the associated action S  and the size of the population N, \langle T\rangle \sim \exp( NS  ). Because of quantitatively different bifurcation features for m=1 and m\geq2, we derive independently the expressions of S  as a function of the rescaled infection rate \lambda/\mu.
Revised:  By employing WKB approximation for the master equation, the problem is reduced to finding the zero-energy trajectories in an effective Hamiltonian system, and the mean extinction time \langle T\rangle depend exponentially on the associated action S and the size of the population N, \langle T\rangle \sim \exp( NS ). Because of quantitatively different bifurcation features for m=1 and m\geq2, we derive independently the expressions of S S as a function of the rescaled infection rate \lambda/\mu.
Edit intent: fluency
Original: We study the extinction of epidemics in a generalized contact process , where a susceptible individual becomes infected with the rate \lambda when contacting m infective individual(s) simultaneously, and an infected individual spontaneously recovers with the rate \mu.
Revised: We study the extinction of epidemics in a generalized susceptible-infected-susceptible model , where a susceptible individual becomes infected with the rate \lambda when contacting m infective individual(s) simultaneously, and an infected individual spontaneously recovers with the rate \mu.
Edit intent: clarity
Original:  By employing the Wentzel-Kramers-Brillouin approximation for the master equation, the problem is reduced to finding the zero-energy trajectories in an effective Hamiltonian system, and the mean extinction time \langle T\rangle depend exponentially on the associated action \mathcal {S} and the size of the population N, \langle T\rangle \sim \exp(N\mathcal {S}).
Revised:  By employing the Wentzel-Kramers-Brillouin approximation for the master equation, the problem is reduced to finding the zero-energy trajectories in an effective Hamiltonian system, and the mean extinction time \langle T\rangle depends exponentially on the associated action \mathcal {S} and the size of the population N, \langle T\rangle \sim \exp(N\mathcal {S}).
Edit intent: fluency
Original:  More formally, they conjectured that for every k\geq 1, there is a constant d such that if P is a poset with  planar cover graph and P excludes k+k, then \dim(P)\leq d.
Revised:  More formally, they conjectured that for every k\geq 1, there is a constant d such that if P is a poset with a planar cover graph and P excludes k+k, then \dim(P)\leq d.
Edit intent: fluency
Original:  Dispersing swimmers display nonzero drift and effective diffusivity that is non-monotonic with Peclet number.
Revised:  Dispersing swimmers display nonzero drift and effective diffusivity that is non-monotonic with P\'eclet number.
Edit intent: fluency
Original:  Here, we extend the theory to realistically describe suspensions of negatively buoyant bi-flagellate algae and obtain new predictions for the model species Dunaliellasalina, parametrised\it  using tracking video microscopy.
Revised:  Here, we extend the theory to realistically describe suspensions of negatively buoyant bi-flagellate algae and obtain new predictions for suspensions of the model swimming alga\it using tracking video microscopy.
Edit intent: clarity
Original: Here, we conceptualize the phase diagram of collective short-term bio-chemo-electric component of neurodynamics (S-ND)on the parameter space of externally, e.g., pharmacologically, controllable single-neuron parameters such as the resting potential and / or firing threshold, repolarization time , etc.
Revised: In many stochastic dynamical systems, ordinary chaotic behavior is preceded by a full-dimensional phase that exhibits 1 / or firing threshold, repolarization time , etc.
Edit intent: clarity
Original:  In contrast with the phenomenological concept of self-organized criticality, the recently found approximation-free supersymmetric theory of stochastics (STS) identifies this phase as the noise-induced chaos (N-phase), i.e., the phase where the topological supersymmetry pertaining to all stochastic dynamical systems is broken spontaneously by the condensation of the noise-induced (anti-)instantons.
Revised:  In contrast with the phenomenological concept of self-organized criticality, the recently developed approximation-free supersymmetric theory of stochastics (STS) identifies this phase as the noise-induced chaos (N-phase), i.e., the phase where the topological supersymmetry pertaining to all stochastic dynamical systems is broken spontaneously by the condensation of the noise-induced (anti-)instantons.
Edit intent: clarity
Original: This paper develops a suite of algorithms for constructing low-rank approximations of an input matrix from a random linear image of the matrix, called a sketch.
Revised: This paper describes a suite of algorithms for constructing low-rank approximations of an input matrix from a random linear image of the matrix, called a sketch.
Edit intent: clarity
Original:  These claims are supported by computer experiments .
Revised:  These claims are supported by numerical experiments with real and synthetic data .
Edit intent: clarity
Original: The application of psychophysiological in human-computer interaction is a growing field with significant potential for future smart personalised systems.
Revised: The application of psychophysiology in human-computer interaction is a growing field with significant potential for future smart personalised systems.
Edit intent: fluency
Original:  This issue limit their deployability on ubiquitous computing devices such as smart phones or wearables .
Revised:  This issue limits their deployability on ubiquitous computing devices such as smart phones or wearables .
Edit intent: fluency
Original:  We train these TNNs using a teacher-student approach . Using only ternary weights and ternary neurons, with a step activation function of two-thresholds, the student ternary network learns to mimic the behaviour of its teacher network .
Revised:  We train these TNNs using a teacher-student approach . Using only ternary weights and activations, the student ternary network learns to mimic the behaviour of its teacher network .
Edit intent: clarity
Original:  We train these TNNs using a teacher-student approach . Using only ternary weights and ternary neurons, with a step activation function of two-thresholds, the student ternary network learns to mimic the behaviour of its teacher network .
Revised:  We train these TNNs using a teacher-student approach . Using only ternary weights and ternary neurons, with a step activation function of two-thresholds, the student ternary network learns to mimic the behavior of its teacher network .
Edit intent: fluency
Original:  We propose a novel,layer-wise greedy methodology for training TNNs. During training , a ternary neural network inherently prunes the smaller weights by setting them to zero  .
Revised:  We propose a novel,layer-wise greedy methodology for training TNNs. During training , a ternary neural network inherently prunes the smaller weights by setting them to zero during training .
Edit intent: clarity
Original:  We devise a purpose-built hardware design for TNNs and implement it on FPGA .
Revised:  We devise a purpose-built hardware architecture for TNNs and implement it on FPGA .
Edit intent: clarity
Original: Mary neuropsychiatric disorders impact functional connectivity of the brains at the network level.
Revised: Neuropsychiatric disorders impact functional connectivity of the brains at the network level.
Edit intent: coherence
Original: Mary neuropsychiatric disorders impact functional connectivity of the brains at the network level.
Revised: Mary neuropsychiatric disorders impact functional connectivity of the brain at the network level.
Edit intent: fluency
Original:  However, identification of differentially expressed connectivity subnetworks in patients through the massive data collected using modern imaging methods remain challengingon theory, computation, and statistical inferences .
Revised:  The identification and statistical testing of disorder-related networks remains challenging. We propose novel methods to streamline the detection and testing of the hidden, disorder-related connectivity patterns as network-objects .
Edit intent: clarity
Original:  We define an abnormal connectome subnetwork as a network-object that includes three classes: nodes  , differentially expressed edges , and an organized graph topology .
Revised:  We define an abnormal connectome subnetwork as a network-object that includes three classes: nodes , and an organized graph topology .
Edit intent: clarity
Original:  Comparing to the conventional statistical methods, the proposed approach yields results with simultaneously reduced false positive and negative discovery rates by letting edges borrow strength precisely with the guidance of graph topological information, which effectively improves the reproducibility of findings across brain connectome studies.
Revised:  Comparing to the conventional statistical methods, the proposed approach simultaneously reduces false positive and negative discovery rates by letting edges borrow strength precisely with the guidance of graph topological information, which effectively improves the reproducibility of findings across brain connectome studies.
Edit intent: clarity
Original:  Comparing to the conventional statistical methods, the proposed approach yields results with simultaneously reduced false positive and negative discovery rates by letting edges borrow strength precisely with the guidance of graph topological information, which effectively improves the reproducibility of findings across brain connectome studies.
Revised:  Comparing to the conventional statistical methods, the proposed approach yields results with simultaneously reduced false positive and negative discovery rates by letting edges borrow strengths precisely with the guidance of graph topological information, which effectively improves the reproducibility of findings across brain connectome studies.
Edit intent: fluency
Original:  The network-object analyses may provide insights  how brain connectome is systematically impaired by brain illnesses.
Revised:  The network-object analyses may provide insights into how brain connectome is systematically impaired by brain illnesses.
Edit intent: fluency
Original:  These include (i) a spatially exchangeable content placement technique to prioritize the caches for content placement and (ii) the "Gibbs" point process-based soft-core caching model that captures the pairwise interactions between users, including attraction or repulsion{\em  {\em   .
Revised:  These include (i) a spatially exchangeable content placement technique to prioritize the caches for content placement and (ii) the "Gibbs" point process-based soft-core caching model that captures the pairwise interactions between users, including attraction or repulsion{\em {\em exclusion radius .
Edit intent: fluency
Original:  Exchangeable placement actually performs worse than independent placement, while the Gibbs model shows that repulsive cache placement often yields a higher hit probability.
Revised:  Contrasting it with independent content placement, which is used in most prior work, our HCP strategy often yields a higher hit probability.
Edit intent: clarity
Original:  Exchangeable placement actually performs worse than independent placement, while the Gibbs model shows that repulsive cache placement often yields a higher hit probability.
Revised:  Exchangeable placement actually performs worse than independent placement, while the Gibbs model shows that repulsive cache placement often yields a significantly higher cache hit probability.
Edit intent: clarity
Original:  We consider two further special cases of Gibbs repulsive cache placement: (ii.a) the Fermi-Dirac and (ii.b) Mat\'{e is effective for small cache sizes and a small communication radius, which are likely conditions for D2D.
Revised:  We further demonstrate that the HCP strategy is effective for small cache sizes and a small communication radius, which are likely conditions for D2D.
Edit intent: clarity
Original: Reconstructing propagation networks from observations is a fundamental inverse problem, and it's crucial to understand and control dynamicsin complex systems .
Revised: Accessing the network through which a propagation dynamics diffuse is essential for understanding and controlling it. In a few cases, such information is available through direct experiments or thanks to the very nature of propagation data. In a majority of cases however, available information about the network is indirect and comes from partial observations of the dynamics, rendering the network reconstruction a fundamental inverse problem .
Edit intent: coherence
Original:  IDNR is built on a Belief Propagation approximation, that has an impressive performance in a wide variety of topological structures.
Revised:  IDNR is built on a Belief Propagation approximation, that has shown impressive accuracy in a wide variety of topological structures.
Edit intent: clarity
Original:  The structure of the network of interactions between proteins is important in the ?eld of proteomics, and has been subject to intensive research in recent years, as scientists have become increasingly capable and interested in describing the underlying structure of interactions in both normal and pathological biological processes.
Revised:  The structure of the network of interactions between proteins is important in the field of proteomics, and has been subject to intensive research in recent years, as scientists have become increasingly capable and interested in describing the underlying structure of interactions in both normal and pathological biological processes.
Edit intent: fluency
Original:  We introduce a new measure of network clustering by quantifying the richness of families of simple loops.
Revised:  We introduce a new measure of network clustering by quantifying the richness of families of (simple) loops.
Edit intent: fluency
Original: Environmental fluctuations have important consequences in the organization of ecological communities, and understanding how such  variability influences the biodiversity of an ecosystem is a major question in ecology.
Revised: Environmental fluctuations have important consequences in the organization of ecological communities, and understanding how such a variability influences the biodiversity of an ecosystem is a major question in ecology.
Edit intent: fluency
Original:  In this paper, we analyze the case of two species competing for the resources within the framework of the neutral theory where we introduce environmental noise, devoting special attention on how such  variability modulates species fitness.
Revised:  In this paper, we analyze the case of two species competing for the resources within the framework of the neutral theory in the presence of environmental noise, devoting special attention on how such variability modulates species fitness.
Edit intent: clarity
Original:  In this paper, we analyze the case of two species competing for the resources within the framework of the neutral theory where we introduce environmental noise, devoting special attention on how such  variability modulates species fitness.
Revised:  In this paper, we analyze the case of two species competing for the resources within the framework of the neutral theory where we introduce environmental noise, devoting special attention on how such a variability modulates species fitness.
Edit intent: fluency
Original:  This phenomenon can be understood as a direct consequence of the Chesson's storage effect.
Revised:  This phenomenon can be understood as a direct consequence of Chesson's storage effect.
Edit intent: fluency
Original:  Our method can exploit warm starts;
Revised:  Unlike these approaches, our method can exploit warm starts;
Edit intent: clarity
Original:  Recently exciting progress has been made on this problem , but the predicted contacts for proteins without many sequence homologs is still of low quality and not very useful for de novo structure prediction.
Revised:  Recently exciting progress has been made , but the predicted contacts for proteins without many sequence homologs is still of low quality and not very useful for de novo structure prediction.
Edit intent: clarity
Original:  Recently exciting progress has been made on this problem , but the predicted contacts for proteins without many sequence homologs is still of low quality and not very useful for de novo structure prediction.
Revised:  Recently exciting progress has been made on this problem , but the predicted contacts for proteins without many sequence homologs is still of low quality and not extremely useful for de novo structure prediction.
Edit intent: clarity
Original:  This paper presents a new deep learning method for contact prediction that predicts contacts by integrating both evolutionary coupling (EC) information and sequence conservation information through an ultra-deep neural network consisting of two deep residual neural networks.
Revised:  This paper presents a new deep learning method that predicts contacts by integrating both evolutionary coupling (EC) information and sequence conservation information through an ultra-deep neural network consisting of two deep residual neural networks.
Edit intent: clarity