wanyu/IteraTeR_v2 huggingface dataset:
Original:  The capability of the method is highlighted by comparing it with classical and recent approaches such as TV minimization (jump-sparse signals), orthogonal matching pursuit, iterative hard thresholding, and iteratively reweighted \ell^1 minimization (sparse signals).
Revised:  We highlight the capability of the method is highlighted by comparing it with classical and recent approaches such as TV minimization (jump-sparse signals), orthogonal matching pursuit, iterative hard thresholding, and iteratively reweighted \ell^1 minimization (sparse signals).
Edit intent: coherence
Original:  The capability of the method is highlighted by comparing it with classical and recent approaches such as TV minimization (jump-sparse signals), orthogonal matching pursuit, iterative hard thresholding, and iteratively reweighted \ell^1 minimization (sparse signals).
Revised:  The capability of the method by comparing it with classical and recent approaches such as TV minimization (jump-sparse signals), orthogonal matching pursuit, iterative hard thresholding, and iteratively reweighted \ell^1 minimization (sparse signals).
Edit intent: clarity
Original: We propose a novel cooperative transmission scheme called  Convolutional Network-Coded Cooperation  (CNCC) for a network including N users, M relays , and one common destination.
Revised: We propose a novel cooperative transmission scheme called " Convolutional Network-Coded Cooperation (CNCC) for a network including N users, M relays , and one common destination.
Edit intent: fluency
Original: We propose a novel cooperative transmission scheme called  Convolutional Network-Coded Cooperation  (CNCC) for a network including N users, M relays , and one common destination.
Revised: We propose a novel cooperative transmission scheme called Convolutional Network-Coded Cooperation " (CNCC) for a network including N users, M relays , and one common destination.
Edit intent: fluency
Original:  The source-relay (S-R) channels are assumed to be Nakagami-m fading, while the source-destination (S-D) and the relay-destination (R-D) channels are considered to be Rayleigh fading.
Revised:  The source-relay (S-R) channels are assumed to be Nakagami-m fading, while the source-destination (S-D) and the relay-destination (R-D) channels are considered Rayleigh fading.
Edit intent: fluency
Original:  The CNCC scheme exploits  a good (N+M  , N, v) systematic convolutional code  with the free distance of dfree over the GF(2)  by the network's nodes .
Revised:  The CNCC scheme exploits a good (N+M ' , N, v) systematic convolutional code with the free distance of dfree over the GF(2) by the network's nodes .
Edit intent: fluency
Original:  The CNCC scheme exploits  a good (N+M  , N, v) systematic convolutional code  with the free distance of dfree over the GF(2)  by the network's nodes .
Revised:  The CNCC scheme exploits a good (N+M , N, v) systematic convolutional code , with the free distance of dfree over the GF(2) by the network's nodes .
Edit intent: fluency
Original: RNA production in the cell follows a succession of enzyme-mediated processing steps from transcription until maturation.
Revised: RNA molecules follow a succession of enzyme-mediated processing steps from transcription until maturation.
Edit intent: clarity
Original:  Further, we show analytically and verify numerically that when enzyme copy-numbers fluctuate  the strength of substrate fluctuations increases linearly with the RNA transcription rate.
Revised:  Further, we show analytically and numerically that when enzyme copy-numbers fluctuate the strength of substrate fluctuations increases linearly with the RNA transcription rate.
Edit intent: coherence
Original:  Further, we show analytically and verify numerically that when enzyme copy-numbers fluctuate  the strength of substrate fluctuations increases linearly with the RNA transcription rate.
Revised:  Further, we show analytically and verify numerically that when enzyme copy-numbers fluctuate , the strength of substrate fluctuations increases linearly with the RNA transcription rate.
Edit intent: fluency
Original:  Further, we show analytically and verify numerically that when enzyme copy-numbers fluctuate  the strength of substrate fluctuations increases linearly with the RNA transcription rate.
Revised:  Further, we show analytically and verify numerically that when enzyme copy-numbers fluctuate the strength of RNA fluctuations increases linearly with the RNA transcription rate.
Edit intent: clarity
Original:  Finally, by investigating the effects of processing polymorphisms we show that it is possible for the effects of transcriptional polymorphisms to be enhanced, reduced  or even reversed.
Revised:  Finally, by investigating the effects of processing polymorphisms we show that it is possible for the effects of transcriptional polymorphisms to be enhanced, reduced , or even reversed.
Edit intent: fluency
Original:  Our results provide a comprehensive framework to understand the dynamics of RNA processing.
Revised:  Our results provide a framework to understand the dynamics of RNA processing.
Edit intent: clarity
Original:  We suggest that "computation at the edge of a phase transition" is more compatible with the view that dendritic arbors perform an analog and dynamical rather than a symbolic and digital dendritic computation.
Revised:  We suggest that "computation at the edge of a phase transition" is more compatible with the view that dendritic arbors perform an analog rather than a symbolic and digital dendritic computation.
Edit intent: clarity
Original:  We suggest that "computation at the edge of a phase transition" is more compatible with the view that dendritic arbors perform an analog and dynamical rather than a symbolic and digital dendritic computation.
Revised:  We suggest that "computation at the edge of a phase transition" is more compatible with the view that dendritic arbors perform an analog and dynamical rather than a digital dendritic computation.
Edit intent: clarity
Original: We give an arithmetic version of the recent proof of the triangle removal lemma by Fox \mbox{ Fox11 , for the group \F_2^n.
Revised: We give an arithmetic version of the recent proof of the triangle removal lemma by Fox , for the group \F_2^n.
Edit intent: coherence
Original:  A triangle in %DIFDELCMD < \F%%%  _2^n is a tuple (x,y,z) such that x+y+z = 0.
Revised:  A triangle in %DIFDELCMD < \F%%% _2^n is a triple (x,y,z) such that x+y+z = 0.
Edit intent: clarity
Original:  The improved lower bound was already known to follow (for triangle-removal in all groups), using Fox's removal lemma for directed cycles and a reduction by Kral , Serra and Vena  [  . The purpose of this note is to provide a direct Fourier-analytic proof for the group %DIFDELCMD < \F%%%  _2^n.
Revised:  The improved lower bound was already known to follow (for triangle-removal in all groups), using Fox's removal lemma for directed cycles and a reduction by Kr\'{a , Serra and Vena [ . The purpose of this note is to provide a direct Fourier-analytic proof for the group %DIFDELCMD < \F%%% _2^n.
Edit intent: fluency
Original:  The improved lower bound was already known to follow (for triangle-removal in all groups), using Fox's removal lemma for directed cycles and a reduction by Kral , Serra and Vena  [  . The purpose of this note is to provide a direct Fourier-analytic proof for the group %DIFDELCMD < \F%%%  _2^n.
Revised:  The improved lower bound was already known to follow (for triangle-removal in all groups), using Fox's removal lemma for directed cycles and a reduction by Kral , Serra and Vena [ ) . The purpose of this note is to provide a direct Fourier-analytic proof for the group %DIFDELCMD < \F%%% _2^n.
Edit intent: fluency
Original:  S_t is the stock 's price at time t.
Revised:  S_t is the share 's price at time t.
Edit intent: fluency
Original:  The results justify the extensive use of the B-S-M price and provide traders with a new tool .
Revised:  The results justify the extensive use of the buyer. Traders may use the pricing formulae after estimation of the unknown parameters .
Edit intent: clarity
Original: Tensor factorizations with nonnegative constraints have proved to be powerful tools for analysis of sparse count data in areas such as bioinformatics and social network analysis .
Revised: Tensor factorizations with nonnegative constraints have found application in analyzing data from cyber traffic, social networks, and other areas .
Edit intent: clarity
Original:  We consider application data best described as being generated by a Poisson process (e.g., count data), which leads to sparse tensors that are typically modeled by sparse factor matrices.
Revised:  We consider application data best described as being generated by a Poisson process (e.g., count data), which leads to sparse tensors that can be modeled by sparse factor matrices.
Edit intent: clarity
Original:  In this paper we investigate efficient techniques for computing an appropriate tensor factorization model and propose new subproblem solvers within the standard alternating block variable approach.
Revised:  In this paper we investigate efficient techniques for computing an appropriate tensor factorization and propose new subproblem solvers within the standard alternating block variable approach.
Edit intent: clarity
Original:  OHCP has been shown to be NP-complete, but if the boundary matrix of K is totally unimodular (TU), it becomes solvable in polynomial time when modeled as a linear program (LP).
Revised:  The OHCP is NP-complete, but if the boundary matrix of K is totally unimodular (TU), it becomes solvable in polynomial time when modeled as a linear program (LP).
Edit intent: clarity
Original:  Several computational mechanisms have been proposed to account for such isochronous synchronization in the presence of long conduction delays: Of these, the phenomena of "dynamical relaying" - a mechanism that relies on a specific network motif (M9) - has proven to be the most robust with respect to parameter  and system noise.
Revised:  Several computational mechanisms have been proposed to account for such isochronous synchronization in the presence of long conduction delays: Of these, the phenomenon of "dynamical relaying" - a mechanism that relies on a specific network motif (M9) - has proven to be the most robust with respect to parameter and system noise.
Edit intent: fluency
Original:  Several computational mechanisms have been proposed to account for such isochronous synchronization in the presence of long conduction delays: Of these, the phenomena of "dynamical relaying" - a mechanism that relies on a specific network motif (M9) - has proven to be the most robust with respect to parameter  and system noise.
Revised:  Several computational mechanisms have been proposed to account for such isochronous synchronization in the presence of long conduction delays: Of these, the phenomena of "dynamical relaying" - a mechanism that relies on a specific network motif - has proven to be the most robust with respect to parameter and system noise.
Edit intent: clarity
Original:  Several computational mechanisms have been proposed to account for such isochronous synchronization in the presence of long conduction delays: Of these, the phenomena of "dynamical relaying" - a mechanism that relies on a specific network motif (M9) - has proven to be the most robust with respect to parameter  and system noise.
Revised:  Several computational mechanisms have been proposed to account for such isochronous synchronization in the presence of long conduction delays: Of these, the phenomena of "dynamical relaying" - a mechanism that relies on a specific network motif (M9) - has proven to be the most robust with respect to parameter mismatch and system noise.
Edit intent: clarity
Original:  Surprisingly, despite a contrary belief in the community, the common driving motif (M3) is an unreliable means of establishing zero-lag synchrony.
Revised:  Surprisingly, despite a contrary belief in the community, the common driving motif is an unreliable means of establishing zero-lag synchrony.
Edit intent: clarity
Original:  By systematically comparing synchronization on a variety of small motifs, we establish that the presence of a single reciprocally connected pair - a "resonance pair" - plays a crucial role in disambiguating those motifs that foster zero-lag synchrony in the presence of conduction delays (such as dynamical relaying , M9 ) from those that do not (such as the common driving triad , M3 ).
Revised:  By systematically comparing synchronization on a variety of small motifs, we establish that the presence of a single reciprocally connected pair - a "resonance pair" - plays a crucial role in disambiguating those motifs that foster zero-lag synchrony in the presence of conduction delays (such as dynamical relaying ) from those that do not (such as the common driving triad , M3 ).
Edit intent: clarity
Original:  By systematically comparing synchronization on a variety of small motifs, we establish that the presence of a single reciprocally connected pair - a "resonance pair" - plays a crucial role in disambiguating those motifs that foster zero-lag synchrony in the presence of conduction delays (such as dynamical relaying , M9 ) from those that do not (such as the common driving triad , M3 ).
Revised:  By systematically comparing synchronization on a variety of small motifs, we establish that the presence of a single reciprocally connected pair - a "resonance pair" - plays a crucial role in disambiguating those motifs that foster zero-lag synchrony in the presence of conduction delays (such as dynamical relaying , M9 ) from those that do not (such as the common driving triad ).
Edit intent: coherence
Original:  Remarkably, minor structural changes to M3 that incorporate a reciprocal pair (hence M6, M9, M3+1) recover robust zero-lag synchrony.
Revised:  Remarkably, minor structural changes to M3 that incorporate a reciprocal pair recover robust zero-lag synchrony.
Edit intent: coherence
Original:  Ce papier propose une nouvelle m\'ethode pour la construction automatique de hi\'erarchies s\'emantiques adapt\'ees \`a la classification et \`a l'annotation d'images.
Revised:  Ce papier propose une nouvelle methode pour la construction automatique de hi\'erarchies s\'emantiques adapt\'ees \`a la classification et \`a l'annotation d'images.
Edit intent: fluency
Original:  Ce papier propose une nouvelle m\'ethode pour la construction automatique de hi\'erarchies s\'emantiques adapt\'ees \`a la classification et \`a l'annotation d'images.
Revised:  Ce papier propose une nouvelle m\'ethode pour la construction automatique de hierarchies semantiques adaptees a la classification et \`a l'annotation d'images.
Edit intent: fluency
Original:  Ce papier propose une nouvelle m\'ethode pour la construction automatique de hi\'erarchies s\'emantiques adapt\'ees \`a la classification et \`a l'annotation d'images.
Revised:  Ce papier propose une nouvelle m\'ethode pour la construction automatique de hi\'erarchies s\'emantiques adapt\'ees \`a la classification et a l'annotation d'images.
Edit intent: fluency
Original:  La construction de la hi\'erarchie est bas\'ee sur une nouvelle mesure de similarit\'e s\'emantique qui int\`egre plusieurs sources d'informations: visuelle, conceptuelle et contextuelle que nous d\'efinissons dans ce papier.
Revised:  La construction de la hierarchie est basee sur une nouvelle mesure de similarit\'e s\'emantique qui int\`egre plusieurs sources d'informations: visuelle, conceptuelle et contextuelle que nous d\'efinissons dans ce papier.
Edit intent: fluency
Original:  La construction de la hi\'erarchie est bas\'ee sur une nouvelle mesure de similarit\'e s\'emantique qui int\`egre plusieurs sources d'informations: visuelle, conceptuelle et contextuelle que nous d\'efinissons dans ce papier.
Revised:  La construction de la hi\'erarchie est bas\'ee sur une nouvelle mesure de similarite semantique qui integre plusieurs sources d'informations: visuelle, conceptuelle et contextuelle que nous d\'efinissons dans ce papier.
Edit intent: fluency
Original:  La construction de la hi\'erarchie est bas\'ee sur une nouvelle mesure de similarit\'e s\'emantique qui int\`egre plusieurs sources d'informations: visuelle, conceptuelle et contextuelle que nous d\'efinissons dans ce papier.
Revised:  La construction de la hi\'erarchie est bas\'ee sur une nouvelle mesure de similarit\'e s\'emantique qui int\`egre plusieurs sources d'informations: visuelle, conceptuelle et contextuelle que nous definissons dans ce papier.
Edit intent: fluency
Original:  L'objectif est de fournir une mesure qui est plus proche de la s\'emantique des images.
Revised:  L'objectif est de fournir une mesure qui est plus proche de la semantique des images.
Edit intent: fluency
Original:  Nous proposons ensuite des r\`egles, bas\'ees sur cette mesure, pour la construction de la hi\'erarchie finale qui encode explicitement les relations hi\'erarchiques entre les diff\'erents concepts.
Revised:  Nous proposons ensuite des regles, basees sur cette mesure, pour la construction de la hi\'erarchie finale qui encode explicitement les relations hi\'erarchiques entre les diff\'erents concepts.
Edit intent: fluency
Original:  Nous proposons ensuite des r\`egles, bas\'ees sur cette mesure, pour la construction de la hi\'erarchie finale qui encode explicitement les relations hi\'erarchiques entre les diff\'erents concepts.
Revised:  Nous proposons ensuite des r\`egles, bas\'ees sur cette mesure, pour la construction de la hierarchie finale qui encode explicitement les relations hi\'erarchiques entre les diff\'erents concepts.
Edit intent: fluency
Original:  Nous proposons ensuite des r\`egles, bas\'ees sur cette mesure, pour la construction de la hi\'erarchie finale qui encode explicitement les relations hi\'erarchiques entre les diff\'erents concepts.
Revised:  Nous proposons ensuite des r\`egles, bas\'ees sur cette mesure, pour la construction de la hi\'erarchie finale qui encode explicitement les relations hierarchiques entre les differents concepts.
Edit intent: fluency
Original:  La hi\'erarchie construite est ensuite utilis\'ee dans un cadre de classification s\'emantique hi\'erarchique d'images en concepts visuels.
Revised:  La hierarchie construite est ensuite utilis\'ee dans un cadre de classification s\'emantique hi\'erarchique d'images en concepts visuels.
Edit intent: fluency
Original:  La hi\'erarchie construite est ensuite utilis\'ee dans un cadre de classification s\'emantique hi\'erarchique d'images en concepts visuels.
Revised:  La hi\'erarchie construite est ensuite utilisee dans un cadre de classification s\'emantique hi\'erarchique d'images en concepts visuels.
Edit intent: fluency
Original:  La hi\'erarchie construite est ensuite utilis\'ee dans un cadre de classification s\'emantique hi\'erarchique d'images en concepts visuels.
Revised:  La hi\'erarchie construite est ensuite utilis\'ee dans un cadre de classification semantique hierarchique d'images en concepts visuels.
Edit intent: clarity
Original:  Nos exp\'eriences et r\'esultats montrent que la hi\'erarchie construite permet d' am\'eliorer les r\'esultats de la classification.
Revised:  Nos experiences et resultats montrent que la hi\'erarchie construite permet d' am\'eliorer les r\'esultats de la classification.
Edit intent: fluency
Original:  Nos exp\'eriences et r\'esultats montrent que la hi\'erarchie construite permet d' am\'eliorer les r\'esultats de la classification.
Revised:  Nos exp\'eriences et r\'esultats montrent que la hierarchie construite permet d' am\'eliorer les r\'esultats de la classification.
Edit intent: fluency
Original:  Nos exp\'eriences et r\'esultats montrent que la hi\'erarchie construite permet d' am\'eliorer les r\'esultats de la classification.
Revised:  Nos exp\'eriences et r\'esultats montrent que la hi\'erarchie construite permet d' ameliorer les resultats de la classification.
Edit intent: fluency
Original:  It is proposed, that this model formalism provides a novel system view and immediately applicable conceptual tools for understanding real life and evolution of biological organisms .
Revised:  It is proposed, that this model formalism provides a novel system view and immediately applicable conceptual tools for understanding complex life and evolution of biological organisms .
Edit intent: clarity
Original:  It is proposed, that this model formalism provides a novel system view and immediately applicable conceptual tools for understanding real life and evolution of biological organisms .
Revised:  It is proposed, that this model formalism provides a novel system view and immediately applicable conceptual tools for understanding real life and evolution .
Edit intent: clarity
Original:  The modeling principle is very generic , suggesting that it can be directly applied also to the study of engineered and artificial systems.
Revised:  The modeling principle is very generic suggesting that it can be directly applied also to the study of engineered and artificial systems.
Edit intent: fluency
Original:  We study the adjacency spectrum of this network, focusing in particular on two aspects : the changes in the spectrum in response to varying the intra and inter-modular edge density, and the effects on the spectrum of perturbing the edge configuration, while keeping the densities fixed . Since the general case is quite complex analytically, we adopted a combination of analytical approaches to particular cases, and numerical simulations for more results.
Revised:  We study the adjacency spectrum of this network, focusing in particular on two aspects : the spectrum in response to varying the intra and inter-modular edge density, and the effects on the spectrum of perturbing the edge configuration, while keeping the densities fixed . Since the general case is quite complex analytically, we adopted a combination of analytical approaches to particular cases, and numerical simulations for more results.
Edit intent: clarity
Original:  Finally, we suggest possible applications of the model to understanding synaptic restructuring during learning algorithms, and to classifying emotional responses based on the geometry of the  emotion-regulatory neural circuit.
Revised:  Finally, we suggest possible applications of the model to understanding synaptic restructuring in learning networks, and the emotion-regulatory neural circuit.
Edit intent: clarity
Original:  Computational Analogy is an equivalence relation which allows partitioning the set of computable functions in classes whose members have the same properties regarding to their computational irreducibility and their algorithmic complexity.
Revised:  Computational Analogy is an equivalence relation which allows partitioning the set of computable functions in classes whose members have the same properties regarding to their computational irreducibility and their computational complexity.
Edit intent: clarity
Original:  Therefore, governments around the world are planning to make more spectrum available for mobile broadband use, and the key policy issue is to find an efficient spectrum allocation method that will improve user welfare.
Revised:  Governments around the world are planning to make more spectrum available for mobile broadband use, and the key policy issue is to find an efficient spectrum allocation method that will improve user welfare.
Edit intent: coherence
Original:  To mathematically analyze the subsidy effect, we take the two-stage  Cournot and Bertrand competition model and apply the equilibrium analysis based on the game-theoretic approach.
Revised:  To analyze the subsidy effect, we take the two-stage Cournot and Bertrand competition model and apply the equilibrium analysis based on the game-theoretic approach.
Edit intent: coherence
Original:  To mathematically analyze the subsidy effect, we take the two-stage  Cournot and Bertrand competition model and apply the equilibrium analysis based on the game-theoretic approach.
Revised:  To mathematically analyze the subsidy effect, we adopt the two-stage Cournot and Bertrand competition model and apply the equilibrium analysis based on the game-theoretic approach.
Edit intent: fluency