wanyu/IteraTeR_full_sent huggingface dataset:
Original:  We analyzed data consisting of registered daily birth records for very long (35,429 points) time series and many (24,947,061) babies in Romania between 1905 and 2001 (97 years)  .
Revised:  Data consisting of registered daily birth records for very long (35,429 points) time series and many (24,947,061) babies in Romania between 1905 and 2001 (97 years) .
Edit intent: clarity
Original:  We analyzed data consisting of registered daily birth records for very long (35,429 points) time series and many (24,947,061) babies in Romania between 1905 and 2001 (97 years)  .
Revised:  We analyzed data consisting of registered daily birth records for very long (35,429 points) time series and many (24,947,061) babies in Romania between 1905 and 2001 (97 years) is analyzed .
Edit intent: coherence
Original:  Since there might exist exponentially many different reaction graph structures, we cannot expect to have a polynomial-time algorithm, but it can be shown that polynomial time is elapsed between displaying any two consecutive realizations.
Revised:  Since there might exist exponentially many different reaction graph structures, we cannot expect to have a polynomial-time algorithm, but we URLanize the computation in such a way that polynomial time is elapsed between displaying any two consecutive realizations.
Edit intent: meaning-changed
Original:  Moreover, we found that this approach eliminates the discontinuity  with respect to the Hurst parameter H at H=1/ 2 of the expectations of stochastic integrals.
Revised:  Moreover, we found that this approach eliminates the discontinuity of the stochastic integrals with respect to the Hurst parameter H at H=1/ 2 of the expectations of stochastic integrals.
Edit intent: meaning-changed
Original:  The analysis demonstrates that the natural tendency for the historical economic growth was to increase hyperbolically .
Revised:  The analysis demonstrates that historical economic growth had a natural tendency to follow hyperbolic distributions. Parameters describing hyperbolic distributions have been determined. A search for takeoffs from stagnation to growth produced negative results. This analysis throws a new light on the interpretation of the mechanism of the historical economic growth was to increase hyperbolically .
Edit intent: meaning-changed
Original:  The center region, far from the overlap ends, has a constant motor density as one would na\"ively expect.
Revised:  Overlap motor density profiles and motor trajectories resemble experimental measurements. The phase diagram of the model is similar to the single-filament case for low switching rate, while for high switching rate we find a new low density-high density-low density-high density phase. The overlap center region, far from the overlap ends, has a constant motor density as one would na\"ively expect.
Edit intent: meaning-changed
Original:  We prove that when considering the set of all possible values of the parameters, the equilibrium locus is a smooth manifold with boundaries , while for a given value of the parameters, it is an embedded smooth and connected curve.
Revised:  We prove that when considering the set of all possible values of the parameters, the equilibrium locus is a smooth manifold with corners , while for a given value of the parameters, it is an embedded smooth and connected curve.
Edit intent: clarity
Original:  Our results permit us to give mathematically rigorous proofs of numerical observations made in Schied and Zhang arXiv:1305.4013, 2013  . In particular, we provide a range of model parameters for which the limiting expected costs of both agents are decreasing functions of \theta.
Revised:  Our results permit us to give mathematically rigorous proofs of numerical observations made in Schied and Zhang ( 2013 . In particular, we provide a range of model parameters for which the limiting expected costs of both agents are decreasing functions of \theta.
Edit intent: clarity
Original:  Our results permit us to give mathematically rigorous proofs of numerical observations made in Schied and Zhang arXiv:1305.4013, 2013  . In particular, we provide a range of model parameters for which the limiting expected costs of both agents are decreasing functions of \theta.
Revised:  Our results permit us to give mathematically rigorous proofs of numerical observations made in Schied and Zhang arXiv:1305.4013, 2013 ) . In particular, we provide a range of model parameters for which the limiting expected costs of both agents are decreasing functions of \theta.
Edit intent: fluency
Original: We study asymptotic properties of maximum likelihood estimators of drift parameters for a jump-type Heston model based on continuous time observations  .
Revised: We study asymptotic properties of maximum likelihood estimators of drift parameters for a jump-type Heston model based on continuous time observations , where the jump process can be any purely non-Gaussian L\'evy process of not necessarily bounded variation with a L\'evy measure concentrated on (-1,\infty) .
Edit intent: meaning-changed
Original:  We prove strong consistency and asymptotic normality for all admissible parameter values except one, where we show only weak consistency and mixed normal (but non-normal) asymptotic behavior  .
Revised:  We prove strong consistency and asymptotic normality for all admissible parameter values except one, where we show only weak consistency and mixed normal (but non-normal) asymptotic behavior . It turns out that the volatility of the price process is a measurable function of the price process .
Edit intent: meaning-changed
Original:  Model replication is a possible solution to this problem, as it bypasses the biases associated with the language or toolkit used to develop the original model, promoting model verification , model validation, and improved modelunderstanding. Some argue that a computational model is untrustworthy until it has been successfully replicated. However, most models have only been implemented by the original developer, and thus, have never been replicated. Several reasons for this problem have been identified, namely: a) lack of incentive; b) below par modelcommunication; c) insufficient knowledge of how to replicate; and, d) level of difficulty of the replication task.
Revised:  Model replication is a possible solution to this problem, as it bypasses the biases associated with the language or toolkit used to develop the original model, not only promoting its verification and validation, but also fostering the credibility of the underlying conceptual model. However, different model implementations must be compared to assess their equivalence. The problem is, given two or more implementations of a stochastic model, how to prove that they display similar behavior?
Edit intent: clarity
Original: Theory of chemical reaction network recent developedand application of the frame work for informatics has been aimed. Here, we hypothesized chemical reaction network that obeys Tsallis q-statistics. We applied the Crooks fluctuation theorem for analysis of analyzed an idealized coding way on a simple chemical reaction cascade from perspectives of information conveyed along the signaling pathways .
Revised: The field of information science has greatly developed, and applications in various fields have emerged. In this paper, we evaluated the coding system in the theory of Tsallis entropy for transmission of messages and aimed to formulate the channel capacity by maximization of the Tsallis entropy within a given condition of code length .
Edit intent: clarity
Original:  As a result, the information could be quantitatively calculated using Tsallis q-statistics. This mathematically formulating provides a general quantitative viewpoint of biological cellular signaling suitable to evaluate redundancies in actual signaling cascades .
Revised:  As a result, we obtained a simple relational expression between code length and code appearance probability and, additionally, a generalized formula of the channel capacity on the basis of Tsallis entropy statistics. This theoretical framework may contribute to data processing techniques and other applications .
Edit intent: meaning-changed
Original: RNA genes are ubiquitous in cell physiology, with a diverse repertoire of known functions. In fact, the majority of the eukaryotic genome does not code for proteins, and thousands of conserved RNAs of currently unknown function have been identified . Knowledge of 3D structure could can help elucidate the function of these RNAs but despite outstanding word using X-ray crystallography, NMR and cryoEM, structure determination remains low-throughput.
Revised: RNA genes are ubiquitous in cell physiology, but the vast majority of non-coding RNAs are poorly understood . Knowledge of 3D structure could can help elucidate the function of these RNAs but despite outstanding word using X-ray crystallography, NMR and cryoEM, structure determination remains low-throughput.
Edit intent: clarity
Original:  In fact, the majority of the eukaryotic genome does not code for proteins, and thousands of conserved RNAs of currently unknown function have been identified . Knowledge of 3D structure could can help elucidate the function of these RNAs but despite outstanding word using X-ray crystallography, NMR and cryoEM, structure determination remains low-throughput.
Revised:  In fact, the majority of the eukaryotic genome does not code for proteins, and thousands of conserved RNAs of currently unknown function have been identified . Knowledge of 3D structure can help elucidate the function of these RNAs but despite outstanding word using X-ray crystallography, NMR and cryoEM, structure determination remains low-throughput.
Edit intent: fluency
Original:  In fact, the majority of the eukaryotic genome does not code for proteins, and thousands of conserved RNAs of currently unknown function have been identified . Knowledge of 3D structure could can help elucidate the function of these RNAs but despite outstanding word using X-ray crystallography, NMR and cryoEM, structure determination remains low-throughput. RNA structure prediction in silico is a promising alternative. However, 3D structure prediction for large RNAs requires tertiary contacts between distant secondary structural elements that are difficult to infer with existing methods.
Revised:  In fact, the majority of the eukaryotic genome does not code for proteins, and thousands of conserved RNAs of currently unknown function have been identified . Knowledge of 3D structure could can help elucidate the function , but in silico 3D structure prediction for large RNAs requires tertiary contacts between distant secondary structural elements that are difficult to infer with existing methods.
Edit intent: coherence
Original:  Here, based only on sequences, we use a global statistical probability model of  co-variation to detect 3D contacts, in analogy to recently developed breakthrough methods for computational protein folding. In blinded tests on 22 known RNA structures ranging in size from 65 to 1800 nucleotides, the predicted contacts matched physical interactions with 65-95\% prediction accuracy. Importantly, we infer many long-range tertiary contacts, including non-Watson-Crick interactions.
Revised:  Here, based only on sequences, we use a global statistical probability model of co-variation , we predict contact with 65-90\% precision and capture many long-range tertiary contacts, including non-Watson-Crick interactions.
Edit intent: meaning-changed
Original:  When used as restraints in molecular dynamics simulations, the inferred contacts improve RNA 3D structure prediction to a coordinate error as low as 6 to 10 Angstrom rmsd with potential for use with other constraints. These contacts include functionally important interactions, such as those that distinguish the active and inactive conformations of four riboswitches. In blind prediction mode, we present evolutionary couplings for 180 RNAs of unknown structure (available at URL  We anticipate that this approach will shed light on the structure and function of as yet less known RNA genes.
Revised:  These contacts allow all-atom blinded structure prediction with an accuracy of 6-10 rmsd. We present evolutionary couplings for 180 RNAs of unknown structure (available at URL We anticipate that this approach will shed light on the structure and function of as yet less known RNA genes.
Edit intent: clarity
Original:  In blind prediction mode, we present evolutionary couplings for 180 RNAs of unknown structure (available at URL  We anticipate that this approach will shed light on the structure and function of as yet less known RNA genes.
Revised:  In blind prediction mode, we present evolutionary couplings for 160 RNAs of unknown structure (available at URL We anticipate that this approach will shed light on the structure and function of as yet less known RNA genes.
Edit intent: meaning-changed
Original:  In blind prediction mode, we present evolutionary couplings for 180 RNAs of unknown structure (available at URL  We anticipate that this approach will shed light on the structure and function of as yet less known RNA genes.
Revised:  In blind prediction mode, we present evolutionary couplings for 180 RNAs of unknown structure (available at URL and use these predictions to shed light on the mechanism of tRNA sensing by the T-box riboswitch, as well as the evolutionary history of the ribozyme RNase P. We anticipate that this approach will shed light on the structure and function of as yet less known RNA genes.
Edit intent: meaning-changed
Original: RNA genes are ubiquitousin cell physiology , but the vast majority of non-coding RNAs are poorly understood. Knowledge of 3D structure can help elucidate the function, but in silico 3D structure prediction for large RNAs requires tertiary contacts between distant secondary structural elements that are difficult to infer with existing methods. Using a global probability model of sequence co-variation , we predict contact with 65-90\% precision and capture many long-range tertiary contacts, including non-Watson-Crick interactions .
Revised: RNA genes are ubiquitousin cell physiology , but the discovery of new RNA gene sequences far outpaces research on their structure and functional interactions. We mine the evolutionary sequence record to derive precise information about function and structure of RNAs and RNA-protein complexes. As in protein structure prediction, we use maximum entropy global probability models of sequence co-variation , we predict contact with 65-90\% precision and capture many long-range tertiary contacts, including non-Watson-Crick interactions .
Edit intent: clarity
Original:  Using a global probability model of sequence co-variation , we predict contact with 65-90\% precision and capture many long-range tertiary contacts, including non-Watson-Crick interactions . These contacts allow all-atom blinded structure prediction with an accuracy of 6-10 rmsd.
Revised:  Using a global probability model of sequence co-variation to infer evolutionarily constrained nucleotide-nucleotide interactions within RNA molecules, and nucleotide-amino acid interactions in RNA-protein complexes. The predicted contacts allow all-atom blinded structure prediction with an accuracy of 6-10 rmsd.
Edit intent: meaning-changed
Original:  These contacts allow all-atom blinded structure prediction with an accuracy of 6-10 rmsd. We present evolutionary couplings for 160 RNAs of unknown structure (available at URL and use these predictions to shed light on the mechanism of tRNA sensing by the T-box riboswitch, as well as the evolutionary history of the ribozyme RNase P.
Revised:  These contacts allow all-atom blinded 3D structure prediction at good accuracy for several known RNA structures and RNA-protein complexes. For unknown structures, we predict contacts in 160 RNAs of unknown structure (available at URL and use these predictions to shed light on the mechanism of tRNA sensing by the T-box riboswitch, as well as the evolutionary history of the ribozyme RNase P.
Edit intent: meaning-changed
Original:  We present evolutionary couplings for 160 RNAs of unknown structure (available at URL and use these predictions to shed light on the mechanism of tRNA sensing by the T-box riboswitch, as well as the evolutionary history of the ribozyme RNase P. We anticipate that this approach will shed light on the structure and function of as yet less known RNAgenes .
Revised:  We present evolutionary couplings for 160 non-coding RNA families. Beyond 3D structure prediction, evolutionary couplings help identify important functional interactions, e.g., at switch points in riboswitches and at a complex nucleation site in HIV. Aided by accelerating sequence accumulation, evolutionary coupling analysis can accelerate the discovery of functional interactions and 3D structures involving RNA .
Edit intent: meaning-changed
Original: We study several aspects of the so-called low-vol and low-\beta anomalies, some already documented (such as the universality of the effect over different geographical zones), others hitherto not clearly discussed in the literature.
Revised: We study several aspects of the so-called low-vol and low-beta anomalies, some already documented (such as the universality of the effect over different geographical zones), others hitherto not clearly discussed in the literature.
Edit intent: fluency
Original:  Finally , we consider investors with additional information and, for specific types of extra information, we characterize the models that are semi-statically complete for the informed investors  .
Revised:  Finally , we consider investors with additional information and, for specific types of extra information, we characterize the models that are semi-statically complete for the informed investors . Finally, we provide some examples where robust pricing for informed and uninformed agents can be done over semi-statically complete models .
Edit intent: meaning-changed
Original: High order discretization schemes of SDEs by using free Lia algebra valued random variables are introduced by Kusuoka, Lyons-Victoir, Ninomiya-Victoir and Ninomiya-Ninomiya etc .
Revised: High order discretization schemes of SDEs by using free Lie algebra valued random variables are introduced by Kusuoka, Lyons-Victoir, Ninomiya-Victoir and Ninomiya-Ninomiya etc .
Edit intent: fluency
Original: High order discretization schemes of SDEs by using free Lia algebra valued random variables are introduced by Kusuoka, Lyons-Victoir, Ninomiya-Victoir and Ninomiya-Ninomiya etc .
Revised: High order discretization schemes of SDEs by using free Lia algebra valued random variables are introduced by Kusuoka, Lyons-Victoir, Ninomiya-Victoir and Ninomiya-Ninomiya .
Edit intent: coherence
Original:  Yet, partial correlation values convey no information on the (linear) influence of the association within the entire multivariate system or, in other words, of the represented edge within the entire network. Jones and West (2005) showed that covariance can be decomposed into the weights of the paths that connect two variables within the corresponding undirected network. Here we provide a precise interpretation of path weights and show that, in the particular case of single-edge paths, this interpretation leads to a quantity we call networked partial correlation whose value depends on both the partial correlation between the intervening variables and their association with the rest of the multivariate system.
Revised:  Yet, partial correlation values convey no information on the (linear) influence of the association within the entire multivariate system , which may be crucial to discriminate functional associations from genetic interactions. To address these two shortcomings, here we propose to use the edge weight derived from the covariance decomposition over the paths of the associated gene network. We call this new quantity the networked partial correlation whose value depends on both the partial correlation between the intervening variables and their association with the rest of the multivariate system.
Edit intent: clarity
Original:  Here we provide a precise interpretation of path weights and show that, in the particular case of single-edge paths, this interpretation leads to a quantity we call networked partial correlation whose value depends on both the partial correlation between the intervening variables and their association with the rest of the multivariate system. We show that this new quantity correlates better with quantitative genetic interactions in yeast than classical coexpression measures .
Revised:  Here we provide a precise interpretation of path weights and show that, in the particular case of single-edge paths, this interpretation leads to a quantity we call networked partial correlation and use it to analyze genetic interactions in yeast than classical coexpression measures .
Edit intent: clarity
Original: The possible recognition between double stranded (ds) DNA with homologous sequences was many times invoked to explain different biological observations. Direct pairing was considered among other possibilities, but it seems hardly compatible with the DNA structure . Using quantum chemistry, molecular mechanics, and hints from recent genetics experiments (Nat.Commun.
Revised: The possible recognition between double stranded (ds) DNA with homologous sequences may not seem compatible with the DNA structure . Using quantum chemistry, molecular mechanics, and hints from recent genetics experiments (Nat.Commun.
Edit intent: coherence
Original:  Direct pairing was considered among other possibilities, but it seems hardly compatible with the DNA structure . Using quantum chemistry, molecular mechanics, and hints from recent genetics experiments (Nat.Commun.
Revised:  Direct pairing was considered among other possibilities, but it seems hardly compatible with the B-DNA structure because the sequence information is hidden when it is used for joining the two strands. Nevertheless, it has to be invoked to account for various biological data. Using quantum chemistry, molecular mechanics, and hints from recent genetics experiments (Nat.Commun.
Edit intent: meaning-changed
Original:  Direct pairing was considered among other possibilities, but it seems hardly compatible with the DNA structure . Using quantum chemistry, molecular mechanics, and hints from recent genetics experiments (Nat.Commun.5,3509,2014) here it is shown that direct recognition between homologous dsDNA is possible through formation of short quadruplexes by complementary hydrogen bonding of the major grooves .
Revised:  Direct pairing was considered among other possibilities, but it seems hardly compatible with the DNA structure . Using quantum chemistry, molecular mechanics, and hints from recent genetics experiments I show here that direct recognition between homologous dsDNA is possible through formation of short quadruplexes by complementary hydrogen bonding of the major grooves .
Edit intent: coherence
Original: 5,3509,2014) here it is shown that direct recognition between homologous dsDNA is possible through formation of short quadruplexes by complementary hydrogen bonding of the major grooves .
Revised: 5,3509,2014) here it is shown that direct recognition between homologous dsDNA is possible through formation of short quadruplexes due to direct complementary hydrogen bonding of the major grooves .
Edit intent: clarity
Original: 5,3509,2014) here it is shown that direct recognition between homologous dsDNA is possible through formation of short quadruplexes by complementary hydrogen bonding of the major grooves .
Revised: 5,3509,2014) here it is shown that direct recognition between homologous dsDNA is possible through formation of short quadruplexes by complementary hydrogen bonding of major groove surfaces in parallel alignment .
Edit intent: meaning-changed