wanyu/IteraTeR_full_sent huggingface dataset:
Original:  We  examine through a combination of analytical and numerical techniques the implications of the choice and number of node attributes on the ability to detect network links and, more generally, to estimate higher-level network summary statistics, such as node degree, clustering coefficients, and measures of centrality.
Revised:  We consider in detail the case of two attributes, wherein we examine through a combination of analytical and numerical techniques the implications of the choice and number of node attributes on the ability to detect network links and, more generally, to estimate higher-level network summary statistics, such as node degree, clustering coefficients, and measures of centrality.
Edit intent: meaning-changed
Original:  In addition, many portfolio managers choose stocks based upon fundamental data, e. g. price-to-earnings and dividend yield in an effort to maximize return. All of these are typical real-world constraints a portfolio manager faces. Another constraint, of sorts, is the need to outperform a stock index benchmark. Performance higher than the benchmark means a better compensation package. Underperforming the benchmark means a lesser compensation package. We use MOEAs to satisfy the above real-world constraints and consistently outperform typical performance benchmarks .
Revised:  In addition, many portfolio managers choose stocks based upon their respective fundamental data. We use multiobjective evolutionary algorithms (MOEAs) to satisfy the above real-world constraints and consistently outperform typical performance benchmarks .
Edit intent: clarity
Original:  We use MOEAs to satisfy the above real-world constraints and consistently outperform typical performance benchmarks . Our first MOEA solves all the constraints (except turnover and position limits) and generates feasible portfolios.The second MOEA tests each of the potential feasible portfolios of the first MOEA by trading off mean return, variance, turnover and position limits. The best portfolio is chosen from these feasible portfolios and becomes the portfolio of choice for the next quarter. The MOEAs are applied to the following problems -- generate a series of monthly portfolios that outperform the S P 500 over the past 30 years and generate a set of monthly portfolios that outperform the Russell 1000 Growth index over the last 15 years.
Revised:  We use MOEAs to satisfy the above real-world constraints and consistently outperform typical performance benchmarks P 500 over the past 30 years and generate a set of monthly portfolios that outperform the Russell 1000 Growth index over the last 15 years.
Edit intent: clarity
Original:  The MOEAs are applied to the following problems -- generate a series of monthly portfolios that outperform the S P 500 over the past 30 years and generate a set of monthly portfolios that outperform the Russell 1000 Growth index over the last 15 years. Our two MOEAs accomplish both these goals on a risk adjusted and non-risk adjusted return basis
Revised:  The MOEAs are applied to the following problems -- generate a series of monthly portfolios that outperform the S and have statistically significant asset selection.
Edit intent: meaning-changed
Original:  Rev. E {\bf 83}, 042903 (2011)], a simple model for  the translation of messenger RNA  by ribosomes is provided, and the expression of translational ratio of protein is given.
Revised:  Rev. E {\bf 83}, 042903 (2011)], a simple model for describing the translation of messenger RNA by ribosomes is provided, and the expression of translational ratio of protein is given.
Edit intent: clarity
Original:  Rev. E {\bf 83}, 042903 (2011)], a simple model for  the translation of messenger RNA  by ribosomes is provided, and the expression of translational ratio of protein is given.
Revised:  Rev. E {\bf 83}, 042903 (2011)], a simple model for the translation of messenger RNA (mRNA) by ribosomes is provided, and the expression of translational ratio of protein is given.
Edit intent: clarity
Original:  Rev. E {\bf 83}, 042903 (2011)], a simple model for  the translation of messenger RNA  by ribosomes is provided, and the expression of translational ratio of protein is given. In this comments, varied methods to get this ratio are addressed. Depending on a different method of protein from mRNA to degradation rate \omega_p of protein, is obtained.
Revised:  Rev. E {\bf 83}, 042903 (2011)], a simple model for the translation of messenger RNA by ribosomes is presented, and an expression of the translational ratio r, defined as the ratio of translation rate \omega_{\rm tl of protein from mRNA to degradation rate \omega_p of protein, is obtained.
Edit intent: meaning-changed
Original:  In the study of Valleriani }{\it   is assumed to be the mean value of measured translation rate, i.e. the mean value of ratio of the translation number of protein to the lifetime of mRNA. However, in experiments different methods might be used to get \rm tl.
Revised:  In the study of Valleriani }{\it et al is assumed to be the mean value of measured translation rate, i.e. the mean value of ratio of the translation number of protein to the lifetime of mRNA. However, in experiments different methods might be used to get \rm tl.
Edit intent: meaning-changed
Original:  In the study of Valleriani }{\it   is assumed to be the mean value of measured translation rate, i.e. the mean value of ratio of the translation number of protein to the lifetime of mRNA. However, in experiments different methods might be used to get \rm tl.
Revised:  In the study of Valleriani }{\it , \omega_{\rm tl is assumed to be the mean value of measured translation rate, i.e. the mean value of ratio of the translation number of protein to the lifetime of mRNA. However, in experiments different methods might be used to get \rm tl.
Edit intent: meaning-changed
Original:  Based on one of the methods which might be employed in most of the experiments} , we find that , roughly speaking, this translational ratio decays exponentially with mRNA length in prokaryotic cell, and reciprocally with mRNA length in eukaryotic cells  .
Revised:  Based on one of the methods which might be employed in most of the experiments} , we find that the translational ratio r decays exponentially with mRNA length in prokaryotic cell, and reciprocally with mRNA length in eukaryotic cells .
Edit intent: clarity
Original:  Based on one of the methods which might be employed in most of the experiments} , we find that , roughly speaking, this translational ratio decays exponentially with mRNA length in prokaryotic cell, and reciprocally with mRNA length in eukaryotic cells  .
Revised:  Based on one of the methods which might be employed in most of the experiments} , we find that , roughly speaking, this translational ratio decays exponentially with the length of mRNA in prokaryotic cells, and decays reciprocally with the length of mRNA in prokaryotic cell, and reciprocally with mRNA length in eukaryotic cells .
Edit intent: coherence
Original:  Based on one of the methods which might be employed in most of the experiments} , we find that , roughly speaking, this translational ratio decays exponentially with mRNA length in prokaryotic cell, and reciprocally with mRNA length in eukaryotic cells  .
Revised:  Based on one of the methods which might be employed in most of the experiments} , we find that , roughly speaking, this translational ratio decays exponentially with mRNA length in eukaryotic cells .
Edit intent: coherence
Original:  Based on one of the methods which might be employed in most of the experiments} , we find that , roughly speaking, this translational ratio decays exponentially with mRNA length in prokaryotic cell, and reciprocally with mRNA length in eukaryotic cells  .
Revised:  Based on one of the methods which might be employed in most of the experiments} , we find that , roughly speaking, this translational ratio decays exponentially with mRNA length in prokaryotic cell, and reciprocally with mRNA length in eukaryotic cells . This result is slight different from that obtained in Valleriani's study .
Edit intent: meaning-changed
Original:  In an expository biochemical example we show how a reversible, mass balanced  with thermodynamically infeasible kinetic parameters, can be used to perpetually force a kinetic model of anaerobic glycolysis in a manner consistent with the existence of a steady state.
Revised:  In an expository biochemical example we show how a reversible, mass balanced perpetual reaction, with thermodynamically infeasible kinetic parameters, can be used to perpetually force a kinetic model of anaerobic glycolysis in a manner consistent with the existence of a steady state.
Edit intent: clarity
Original:  We find the existence of a set of bifurcations controlled by the relative influence of noise traders with respect to rational investors that separate a normal regime of the price dynamics to a phase punctuated by recurrent exponentially explosive bubbles. The transition to a bubble regime is favored by noise traders who are more social, and who use more momentum trading with shorter time horizons .
Revised:  By contrast to previous models in the field, we do not allow agents to switch between trading strategies. Allowing for random time-varying herding propensity, we are able to reproduce several stylized facts of financial markets such as a fat-tail distribution of returns, volatility clustering and transient faster-than-exponential bubble growth with approximate log-periodic behavior .
Edit intent: meaning-changed
Original:  Allowing for random time-varying herding propensity, we are able to reproduce several  stylized facts of financial markets such as a fat-tail distribution of returns , volatility clusteringand transient faster-than-exponential bubble growth with approximate log-periodic behavior  .
Revised:  Allowing for random time-varying herding propensity, we are able to reproduce several well-known stylized facts of financial markets such as a fat-tail distribution of returns , volatility clusteringand transient faster-than-exponential bubble growth with approximate log-periodic behavior .
Edit intent: clarity
Original:  Allowing for random time-varying herding propensity, we are able to reproduce several  stylized facts of financial markets such as a fat-tail distribution of returns , volatility clusteringand transient faster-than-exponential bubble growth with approximate log-periodic behavior  .
Revised:  Allowing for random time-varying herding propensity, we are able to reproduce several stylized facts of financial markets such as a fat-tail distribution of returns and volatility clustering. In particular, we observe transient faster-than-exponential bubble growth with approximate log-periodic behavior .
Edit intent: coherence
Original:  Allowing for random time-varying herding propensity, we are able to reproduce several  stylized facts of financial markets such as a fat-tail distribution of returns , volatility clusteringand transient faster-than-exponential bubble growth with approximate log-periodic behavior  .
Revised:  Allowing for random time-varying herding propensity, we are able to reproduce several stylized facts of financial markets such as a fat-tail distribution of returns , volatility clusteringand transient faster-than-exponential bubble growth with approximate log-periodic behavior and give analytical arguments why this follows from our framework .
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Original: In this work we extend the characterization of injectivity via the Jacobian criterion first developed by Craciun and Feinberg for chemical reaction networks with outflow reactions to arbitrary chemical reaction networks taken with mass action kinetics . Injective chemical reaction networks do not have the capacity to admit multiple positive steady states for any rate constants and within each stoichiometric class.
Revised: In this work we extend the characterization of injectivity via the Jacobian criterion first developed by Craciun and Feinberg for chemical reaction networks with outflow reactions to arbitrary chemical reaction networks taken with mass-action kinetics to preclude the existence of multiple positive steady states for any rate constants and within each stoichiometric class.
Edit intent: clarity
Original:  Injective chemical reaction networks do not have the capacity to admit multiple positive steady states for any rate constants and within each stoichiometric class.
Revised:  Injective chemical reaction networks do not have the capacity to admit multiple positive steady states within any stoichiometric class for any choice of rate constants. Our work extends previous results by Craciun and Feinberg for chemical reaction networks with stoichiometric space of maximal dimension. Specifically, a network is called injective if the species formation rate function is injective in the interior of the positive orthant within each stoichiometric class.
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Original:  It is shown that a network is injective if and only if the determinant of the Jacobian of the system of ordinary differential equations associated to the network never vanishes .
Revised:  It is shown that a network is injective if and only if the determinant of the Jacobian of a certain function does not vanish. The function consists of components of the species formation rate function and a maximal set of independent conservation laws .
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Original:  Here we present a direct route, independent of the dimension of the stoichiometric space which precludes at the same time the existence of degenerate steady states  .
Revised:  Here we present a direct route, independent of the dimension of the stoichiometric space which precludes at the same time the existence of degenerate steady states . Further, we relate injectivity of a chemical reaction network to that of the chemical reaction network obtained by adding outflow reactions for all species .
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Original: We provide a Jacobian criterion that applies to  chemical reaction networks taken with mass-action kinetics to preclude the existence of multiple positive steady states within any stoichiometric class for any choice of rate constants.
Revised: We provide a Jacobian criterion that applies to arbitrary chemical reaction networks taken with mass-action kinetics to preclude the existence of multiple positive steady states within any stoichiometric class for any choice of rate constants.
Edit intent: fluency
Original:  Our work extends previous results by Craciun and Feinberg for chemical reaction networks with stoichiometric space of maximal dimension. Specifically, a network iscalled injective if the species formation rate function is injective in the interior of the positive orthant within each stoichiometric class.
Revised:  We are concerned with the characterization of injective networks, that is, networks for which the species formation rate function is injective in the interior of the positive orthant within each stoichiometric class.
Edit intent: clarity
Original: We study the generalized composite pure and randomized hypothesis testing problems. In addition to characterizing the corresponding optimal tests, we examine the conditions under which these two hypothesis testing problems are equivalent, and provide counterexamples when they are not. This analysis is useful for portfolio optimization problems that maximize some success probability given a fixed initial capital.
Revised: We study the portfolio problem of maximizing the outperformance probability over a random benchmark through dynamic trading with a fixed initial capital.
Edit intent: clarity
Original:  The corresponding dual is related to a pure hypothesis testing problem which may or may not coincide with the randomized hypothesis testing problem . Our framework is applicable to both complete and incomplete market settings .
Revised:  The corresponding dual is related to a pure hypothesis testing problem . We analyze the connection between this pure testing problem and its randomized counterpart, and from latter we derive a dual representation for the maximal outperformance probability. Moreover, in a complete market setting, we provide a closed-form solution to the problem of beating a leveraged exchange traded fund. For a general benchmark under an incomplete stochastic factor model, we provide the Hamilton-Jacobi-Bellman PDE characterization for the maximal outperformance probability .
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Original: Presented is an evolutionary model of consumer non-durable markets, which is an extension of a previously published paper on consumer durables. The model suggests that the repurchase process is governed by preferential growth. Applying statistical methods it can be shown that in a competitive market the mean price declines according to an exponential law towards a natural price, while the corresponding price distribution is approximately given by a Laplace distribution for independent price decisions of the manufacturers. The sales of individual brands are determined by a replicator dynamics. As a consequence the size distribution of business units is a lognormal distribution, while the growth rates are also given by a Laplace distribution. Moreover products with a higher fitness replace those with a lower fitness according to a logistic law. Most remarkable is the prediction that the price distribution becomes unstable at market clearing, which is in striking difference to the Walrasian picture in standard microeconomics. The reason for this statement is that competition between products exists only if there is an excess supply, causing a decreasing mean price. When, for example by significant events, demand increases or is equal to supply, competition breaks down and the price exhibits a jump. When this supply shortage is accompanied with an arbitrage for traders, it may even evolve into a speculative bubble. Neglecting the impact of speculation here, the evolutionary model can be linked to a stochastic jump-diffusion model .
Revised: Presented is an evolutionary model of consumer non-durable goods in polypoly markets. It merges the product lifecycle approach with the price dispersion dynamics of homogeneous goods. The model predicts a minimum critical lifetime of non-durables in order to survive. Under the condition that the supply side of the market evolves much faster than the demand side the theory suggests that unsatisfied demands are present in the first stages of the lifecycle. With the growth of production capacities these demands disappear accompanied with a stochastic jump-diffusion model .
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Original:  Neglecting the impact of speculation here, the evolutionary model can be linked to a stochastic jump-diffusion model .
Revised:  Neglecting the impact of speculation here, the evolutionary model can be linked to a logistic decrease of the mean price of the good. The model is applied to electricity as a non-durable satisfying the model condition. The presented theory allows a deeper understanding of the sales and price dynamics of non-durables .
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Original:  Here we examine a specific microscopic description, introduced by Yan and Marko, which allows for disruption of base pairing (i.e., "melting" ) and consequently enhanced local flexibility.
Revised:  Here we examine a specific microscopic description, introduced by Yan and Marko, which allows for disruption of base pairing (i.e., a `melt' or `kink', generically an `excitation' ) and consequently enhanced local flexibility.
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Original:  Using  Monte Carlo simulations, we compute cyclization rates of such a meltable wormlike chain (MWLC) over a broad range of chain lengths, including very short molecules (30 bp) that have not yet been explored experimentally.
Revised:  Using a new method to calculate cyclization statistics of short chains from enhanced-sampling Monte Carlo simulations, we compute cyclization rates of such a meltable wormlike chain (MWLC) over a broad range of chain lengths, including very short molecules (30 bp) that have not yet been explored experimentally.
Edit intent: meaning-changed
Original:  Using  Monte Carlo simulations, we compute cyclization rates of such a meltable wormlike chain (MWLC) over a broad range of chain lengths, including very short molecules (30 bp) that have not yet been explored experimentally.
Revised:  Using Monte Carlo simulations, we compute J-factors of a meltable wormlike chain (MWLC) over a broad range of chain lengths, including very short molecules (30 bp) that have not yet been explored experimentally.
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Original:  To quantify the value of optimally timing to sell , we introduce the delayed liquidation premium which is closely related to the stochastic bracket between the market price and a pricing kernel. We analyze the optimal liquidation policy for various credit derivatives.
Revised:  To quantify the value of optimally timing to sell , we introduce the delayed liquidation premium , and analyze the associated probabilistic representation and variational inequality. We illustrate the optimal liquidation policy for various credit derivatives.
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Original:  To resolve these ambiguities , we have developed a new Rosetta structure prediction tool (ERRASER: Enumerative Real-space Refinement ASsisted by Electron density under Rosetta ) and coupled it to MolProbity validation and PHENIX diffraction-based refinement.
Revised:  Recent advances in ab initio RNA structure prediction suggest an automated way to resolve these ambiguities , we have developed a new Rosetta structure prediction tool (ERRASER: Enumerative Real-space Refinement ASsisted by Electron density under Rosetta ) and coupled it to MolProbity validation and PHENIX diffraction-based refinement.
Edit intent: meaning-changed
Original:  To resolve these ambiguities , we have developed a new Rosetta structure prediction tool (ERRASER: Enumerative Real-space Refinement ASsisted by Electron density under Rosetta ) and coupled it to MolProbity validation and PHENIX diffraction-based refinement.
Revised:  To resolve these ambiguities . We present a protocol for Enumerative Real-space Refinement ASsisted by Electron density under Rosetta ) and coupled it to MolProbity validation and PHENIX diffraction-based refinement.
Edit intent: clarity
Original:  To resolve these ambiguities , we have developed a new Rosetta structure prediction tool (ERRASER: Enumerative Real-space Refinement ASsisted by Electron density under Rosetta ) and coupled it to MolProbity validation and PHENIX diffraction-based refinement.
Revised:  To resolve these ambiguities , we have developed a new Rosetta structure prediction tool (ERRASER: Enumerative Real-space Refinement ASsisted by Electron density under Rosetta (ERRASER), coupled to PHENIX diffraction-based refinement.
Edit intent: meaning-changed
Original:  On 15 crystallographic datasetsfor ribozymes, riboswitches, and other RNA domains, ERRASER/PHENIX corrects the majority of identifiable sugar pucker errors, steric clashes , suspicious backbone rotamers, and incorrect bond lengths/angles, while, on average, improving Rfree correlation to set-aside diffraction data by 0.010.
Revised:  On 24 RNA crystallographic datasets, including a 30S ribosomal subunit and an unreleased IRES domain of hepatitis C virus, the protocol corrects the majority of identifiable sugar pucker errors, steric clashes , suspicious backbone rotamers, and incorrect bond lengths/angles, while, on average, improving Rfree correlation to set-aside diffraction data by 0.010.
Edit intent: meaning-changed