wanyu/IteraTeR_full_sent huggingface dataset:
Original:  We prove a type of super-hedging theorem for a family of workable contingent claims using the acceptable portfolios and random endowment which enables us to obtain the consumption budget constraint result under the market frictions.
Revised:  We prove a type of super-hedging theorem for a family of workable contingent claims using the acceptable portfolios and random endowment which enables us to obtain the consumption budget constraint condition under market frictions.
Edit intent: clarity
Original:  With the path dependence reduction and the embedding approach, the existence and uniqueness of the optimal consumption are proved using the auxiliary primal and dual processes and the convex duality analysis .
Revised:  With the path dependence reduction and the embedding approach, the existence and uniqueness of the optimal consumption are proved using the auxiliary primal and dual processes and the duality approach. As an application of the duality theory, the market isomorphism with special discounting factors is also discussed in the sense that the original optimal consumption with habit formation is equivalent to the standard optimal consumption problem without habits impact, however, in a modified isomorphic market model .
Edit intent: meaning-changed
Original: The human immuno-deficiency virus sub-type 1 (HIV-1) is evolving to keep up with a changing fitness landscape, due to the various drugs introduced to stop the virus's replication. As the virus adapts, the information the virus encodes about its environment must change, and this change is reflected in the amino-acid composition of proteins, as well as changes in viral RNAs, binding sites, and splice sites. Information can also be encoded in the interaction between residues in a single protein as well as across proteins, leading to a change in the epistatic patterns that can affect how the virus can change in the future.
Revised: Epistatic interactions between residues in a single protein as well as across proteins, leading to a change in the epistatic patterns that can affect how the virus can change in the future.
Edit intent: coherence
Original:  Information can also be encoded in the interaction between residues in a single protein as well as across proteins, leading to a change in the epistatic patterns that can affect how the virus can change in the future. Measuring epistasis usually requires fitness measurements that are difficult to obtain in high-throughput .
Revised:  Information can also be encoded in the interaction between residues in a protein determine its adaptability as well the shape of its evolutionary trajectory. While several studies have shown that strong selection pressures enrich epistatic interactions in an evolving protein, little is known about how epistatic interactions themselves change over time when selection pressures are not constant. Obtaining fitness data to measure epistasis in a protein over significant and evolutionarily relevant time scales is a daunting task, rendering a study of the long-term evolution of epistasis in a protein currently infeasible .
Edit intent: clarity
Original:  Here we show that epistasis can be inferred from the pair-wise information between residues, and study how epistasis and information have changed over the long-term. Using HIV-1 protease sequence data from public databases covering the years 1998-2006 (from both treated and untreated subjects), we show that drug treatment has increased the protease's per-site entropies on average.
Revised:  Here we analyze the evolution of epistasis in the protease of the human immunodeficiency virus type 1 (HIV-1) using genomic sequences collected for almost a decade from treated and untreated subjects), we show that drug treatment has increased the protease's per-site entropies on average.
Edit intent: clarity
Original:  Using HIV-1 protease sequence data from public databases covering the years 1998-2006 (from both treated and untreated subjects), we show that drug treatment has increased the protease's per-site entropies on average. At the same time, the sum of mutual entropies across all pairs of residues within the protease shows a significant increase over the years, indicating an increase in epistasis in response to treatment, a trend not seen within sequences from untreated subjects.
Revised:  Using HIV-1 protease sequence data from public databases covering the years 1998-2006 (from both treated and untreated patients, to understand how proteins adapt to a changing environment of treatment over time. We show that mutual information between pairs of residues within the protease shows a significant increase over the years, indicating an increase in epistasis in response to treatment, a trend not seen within sequences from untreated subjects.
Edit intent: clarity
Original:  At the same time, the sum of mutual entropies across all pairs of residues within the protease shows a significant increase over the years, indicating an increase in epistasis in response to treatment, a trend not seen within sequences from untreated subjects. Our findings suggest that information theory can be an important tool to study long-term trends in the evolution of macromolecules.
Revised:  At the same time, the sum of mutual entropies across all pairs of residues is a necessary (but not sufficient) condition for epistasis, allowing us to use information as a proxy for epistasis. We analyze the "fossils" of the evolutionary trajectories of a protein contained in the sequence data, and show that epistatic interactions continue to enrich in the HIV-1 protease as more potent drugs enter the market. While initially epistatic interactions are likely to constrain the evolvability of a protein, we find no evidence that the HIV-1 protease has reached its potential for adaptation after 9 years of adapting to a changing drug environment. The protein is able to encode information about novel and more potent drugs using epistatic interactions, while maintaining sufficient diversity and thermostability. We propose that this mechanism is central to protein evolution not just in HIV-1 protease, but for any protein adapting to rapidly changing conditions
Edit intent: coherence
Original:  While several studies have shown that strong selection pressures enrich epistatic interactions in an evolving protein, little is known about how epistatic interactions themselves change over time when selection pressures are not constant.
Revised:  When a protein experiences a changed environment, it is under strong selection to find a peak in the new fitness landscape. It has been shown that strong selection pressures enrich epistatic interactions in an evolving protein, little is known about how epistatic interactions themselves change over time when selection pressures are not constant.
Edit intent: meaning-changed
Original:  While several studies have shown that strong selection pressures enrich epistatic interactions in an evolving protein, little is known about how epistatic interactions themselves change over time when selection pressures are not constant.
Revised:  While several studies have shown that strong selection increases epistatic interactions as well as the ruggedness of the fitness landscape, but little is known about how epistatic interactions themselves change over time when selection pressures are not constant.
Edit intent: meaning-changed
Original:  While several studies have shown that strong selection pressures enrich epistatic interactions in an evolving protein, little is known about how epistatic interactions themselves change over time when selection pressures are not constant. Obtaining fitness data to measure epistasis in a protein over significant and evolutionarily relevant time scales is a daunting task, rendering a study of the long-term evolution of epistasis in a proteincurrently infeasible .
Revised:  While several studies have shown that strong selection pressures enrich epistatic interactions in an evolving protein, little is known about how the epistatic interactions change under selection in the long-term evolution of epistasis in a proteincurrently infeasible .
Edit intent: clarity
Original:  Obtaining fitness data to measure epistasis in a protein over significant and evolutionarily relevant time scales is a daunting task, rendering a study of the long-term evolution of epistasis in a proteincurrently infeasible .
Revised:  Obtaining fitness data to measure epistasis in a protein over significant and evolutionarily relevant time scales is a daunting task, rendering a study of the long-term evolution of a protein .
Edit intent: clarity
Original:  Here we analyze the evolution of epistasis in the protease of the human immunodeficiency virus type 1 (HIV-1) using genomic sequences collected for almost a decade from  treated and untreated patients, to understand how proteins adapt to a changing environment of treatment over time.
Revised:  Here we analyze the evolution of epistasis in the protease of the human immunodeficiency virus type 1 (HIV-1) using protease sequences collected for almost a decade from treated and untreated patients, to understand how proteins adapt to a changing environment of treatment over time.
Edit intent: clarity
Original:  Here we analyze the evolution of epistasis in the protease of the human immunodeficiency virus type 1 (HIV-1) using genomic sequences collected for almost a decade from  treated and untreated patients, to understand how proteins adapt to a changing environment of treatment over time.
Revised:  Here we analyze the evolution of epistasis in the protease of the human immunodeficiency virus type 1 (HIV-1) using genomic sequences collected for almost a decade from both treated and untreated patients, to understand how proteins adapt to a changing environment of treatment over time.
Edit intent: clarity
Original:  Here we analyze the evolution of epistasis in the protease of the human immunodeficiency virus type 1 (HIV-1) using genomic sequences collected for almost a decade from  treated and untreated patients, to understand how proteins adapt to a changing environment of treatment over time. We show that mutual information between pairs of residues is a necessary (but not sufficient) condition for epistasis , allowing us to use information as a proxy for epistasis .
Revised:  Here we analyze the evolution of epistasis in the protease of the human immunodeficiency virus type 1 (HIV-1) using genomic sequences collected for almost a decade from treated and untreated patients, to understand how epistasis changes and how those changes impact the long-term evolvability of a protein. We use an information-theoretic proxy for epistasis that quantifies the co-variation between sites, and show that positive information is a necessary (but not sufficient) condition for epistasis , allowing us to use information as a proxy for epistasis .
Edit intent: meaning-changed
Original:  We analyze the "fossils" of the evolutionary trajectories of a protein contained in the sequence data, and show that epistatic interactions continue to enrich in the HIV-1 protease as more potent drugs enter the market.
Revised:  We analyze the "fossils" of the evolutionary trajectories of the protein contained in the sequence data, and show that epistatic interactions continue to enrich in the HIV-1 protease as more potent drugs enter the market.
Edit intent: fluency
Original:  We analyze the "fossils" of the evolutionary trajectories of a protein contained in the sequence data, and show that epistatic interactions continue to enrich in the HIV-1 protease as more potent drugs enter the market. While initially epistatic interactions are likely to constrain the evolvability of a protein, we find no evidence that the HIV-1 protease has reached its potential for adaptation after 9 years of adapting to a changing drug environment .
Revised:  We analyze the "fossils" of the evolutionary trajectories of a protein contained in the sequence data, and show that epistasis continues to enrich under strong selection, but not for proteins whose environment is unchanged. The increase in epistasis compensates for the information loss due to sequence variability brought about by treatment, and facilitates adaptation in the increasingly rugged fitness landscape of treatment. While epistasis is thought to enhance evolvability via valley-crossing early-on in adaptation, it can hinder adaptation later when the landscape has turned rugged. However, we find no evidence that the HIV-1 protease has reached its potential for adaptation after 9 years of adapting to a changing drug environment .
Edit intent: coherence
Original:  While initially epistatic interactions are likely to constrain the evolvability of a protein, we find no evidence that the HIV-1 protease has reached its potential for adaptation after 9 years of adapting to a changing drug environment .
Revised:  While initially epistatic interactions are likely to constrain the evolvability of a protein, we find no evidence that the HIV-1 protease has reached its potential for evolution after 9 years of adapting to a changing drug environment .
Edit intent: clarity
Original:  While initially epistatic interactions are likely to constrain the evolvability of a protein, we find no evidence that the HIV-1 protease has reached its potential for adaptation after 9 years of adapting to a changing drug environment . The protein is able to encode information about novel and more potent drugs using epistatic interactions, while maintaining sufficient diversity and thermostability. We propose that this mechanism is central to protein evolution not just in HIV-1 protease, but for any protein adapting to rapidly changingconditions
Revised:  While initially epistatic interactions are likely to constrain the evolvability of a protein, we find no evidence that the HIV-1 protease has reached its potential for adaptation after 9 years of adapting to a drug environment that itself is constantly changing.
Edit intent: clarity
Original:  The aim of this work is  to propose a fully stochastic  model describing the main characteristics of a multiple channel system , in which ion movement is coupled with a Poisson--Nernst--Planck equation . Exclusion forces are considered and different nondimensionalization procedure, supported by numerical simulation, are discussed.
Revised:  The aim of this work is on one hand to propose a fully stochastic model describing the main characteristics of a multiple channel system , in which ion movement is coupled with a Poisson--Nernst--Planck equation . Exclusion forces are considered and different nondimensionalization procedure, supported by numerical simulation, are discussed.
Edit intent: coherence
Original:  The aim of this work is  to propose a fully stochastic  model describing the main characteristics of a multiple channel system , in which ion movement is coupled with a Poisson--Nernst--Planck equation . Exclusion forces are considered and different nondimensionalization procedure, supported by numerical simulation, are discussed.
Revised:  The aim of this work is to propose a fully stochastic and discrete model describing the main characteristics of a multiple channel system , in which ion movement is coupled with a Poisson--Nernst--Planck equation . Exclusion forces are considered and different nondimensionalization procedure, supported by numerical simulation, are discussed.
Edit intent: meaning-changed
Original:  The aim of this work is  to propose a fully stochastic  model describing the main characteristics of a multiple channel system , in which ion movement is coupled with a Poisson--Nernst--Planck equation . Exclusion forces are considered and different nondimensionalization procedure, supported by numerical simulation, are discussed.
Revised:  The aim of this work is to propose a fully stochastic model describing the main characteristics of a multiple channel system . The movement of the ions is coupled, as usual, with a Poisson equation for the electrical field; we have considered in addition the influence of exclusion forces. On the other hand, we have discussed about the nondimensionalization of the stochastic system by using real physical parameters, all supported by numerical simulation, are discussed.
Edit intent: meaning-changed
Original:  The aim of this work is  to propose a fully stochastic  model describing the main characteristics of a multiple channel system , in which ion movement is coupled with a Poisson--Nernst--Planck equation . Exclusion forces are considered and different nondimensionalization procedure, supported by numerical simulation, are discussed. Both cases of nano and micro channels are considered .
Revised:  The aim of this work is to propose a fully stochastic model describing the main characteristics of a multiple channel system , in which ion movement is coupled with a Poisson--Nernst--Planck equation . Exclusion forces are considered and different nondimensionalization procedure, supported by numerical simulations. The specific features of both cases of micro and nano channels have been have been taken in due consideration with particular attention to the latter case in order to show that it is necessary to consider inside the channels a discrete and stochastic model for ions movement .
Edit intent: coherence
Original:  The specific features of both cases of micro and nano channels have been have been taken in due consideration with particular attention to the latter case in order to show that it is necessary to consider inside the channels a discrete and stochastic model for ions movement  .
Revised:  The specific features of both cases of micro- and nanochannels have been taken in due consideration with particular attention to the latter case in order to show that it is necessary to consider inside the channels a discrete and stochastic model for ions movement .
Edit intent: fluency
Original:  The specific features of both cases of micro and nano channels have been have been taken in due consideration with particular attention to the latter case in order to show that it is necessary to consider inside the channels a discrete and stochastic model for ions movement  .
Revised:  The specific features of both cases of micro and nano channels have been have been taken in due consideration with particular attention to the latter case in order to show that it is necessary to consider a discrete and stochastic model for ions movement .
Edit intent: clarity
Original:  The specific features of both cases of micro and nano channels have been have been taken in due consideration with particular attention to the latter case in order to show that it is necessary to consider inside the channels a discrete and stochastic model for ions movement  .
Revised:  The specific features of both cases of micro and nano channels have been have been taken in due consideration with particular attention to the latter case in order to show that it is necessary to consider inside the channels a discrete and stochastic model for ions movement inside the channels .
Edit intent: fluency
Original:  First, we characterize the distributional behavior of high-frequency asset returns both in  clock time and trade time and show that when controlling for pre-scheduled market news events, trade-time returns   are well characterized by a Gaussian distribution at very fine time scales.
Revised:  First, we characterize the distributional behavior of high-frequency asset returns both in ordinary clock time and trade time and show that when controlling for pre-scheduled market news events, trade-time returns are well characterized by a Gaussian distribution at very fine time scales.
Edit intent: meaning-changed
Original:  First, we characterize the distributional behavior of high-frequency asset returns both in  clock time and trade time and show that when controlling for pre-scheduled market news events, trade-time returns   are well characterized by a Gaussian distribution at very fine time scales.
Revised:  First, we characterize the distributional behavior of high-frequency asset returns both in clock time and in trade time. We show that when controlling for pre-scheduled market news events, trade-time returns are well characterized by a Gaussian distribution at very fine time scales.
Edit intent: coherence
Original:  First, we characterize the distributional behavior of high-frequency asset returns both in  clock time and trade time and show that when controlling for pre-scheduled market news events, trade-time returns   are well characterized by a Gaussian distribution at very fine time scales.
Revised:  First, we characterize the distributional behavior of high-frequency asset returns both in clock time and trade time and show that when controlling for pre-scheduled market news events, trade-time returns of the highly liquid near-month E-mini S are well characterized by a Gaussian distribution at very fine time scales.
Edit intent: meaning-changed
Original:  First, we characterize the distributional behavior of high-frequency asset returns both in  clock time and trade time and show that when controlling for pre-scheduled market news events, trade-time returns   are well characterized by a Gaussian distribution at very fine time scales.
Revised:  First, we characterize the distributional behavior of high-frequency asset returns both in clock time and trade time and show that when controlling for pre-scheduled market news events, trade-time returns P 500 futures contract are well characterized by a Gaussian distribution at very fine time scales.
Edit intent: meaning-changed
Original:  Second, we develop a structured and parsimonious model of clock-time returns by subordinating a trade-time Gaussian distribution with a trade arrival process that is associated with a modified Markov-Switching Multifractal Duration (MSMD) model of Chen et al. (2013). Our modification of the MSMD model provides a much better characterization of high-frequency inter-trade durations than the original model of Chen et al. (2013).
Revised:  Second, we develop a structured and parsimonious model of clock-time returns by subordinating a trade-time Gaussian distribution with a trade arrival process that is associated with a modified Markov-Switching Multifractal Duration (MSMD) model . This model provides an excellent characterization of high-frequency inter-trade durations than the original model of Chen et al. (2013).
Edit intent: clarity
Original:  Overall, the obtained results, which we stress that have been achieved with no context-dependent tuning of the ODSE system, confirm the validity and generality of the ODSE-based approach for structured data classification.
Revised:  Solubility, or analogously aggregation propensity, is an important property of protein molecules, which is intimately related to the mechanisms underlying the chemico-physical process of folding. Each protein of our dataset is initially associated with a solubility degree and it is represented as a sequence of symbols, denoting the 20 amino acid residues. The herein obtained computational results, which we stress that have been achieved with no context-dependent tuning of the ODSE system, confirm the validity and generality of the ODSE-based approach for structured data classification.
Edit intent: meaning-changed
Original: With model uncertainty characterized by a convex, possibly non-dominated set of probability measures, the investor minimizes the cost of hedging a path dependent contingent claim with a given expected success ratio, in a discrete-time, semi-static market of stocks and options.
Revised: With model uncertainty characterized by a convex, possibly non-dominated set of probability measures, the investor minimizes the cost of hedging a path dependent contingent claim with given expected success ratio, in a discrete-time, semi-static market of stocks and options.
Edit intent: fluency