wanyu/IteraTeR_v2 huggingface dataset:
Original:  We finally show that artificial perfusion experiments with no hemoglobin tend to give a two-orders-of-magnitude underestimation of the in vivo oxygen uptake and that the optimal geometry for such setup alters significantly.
Revised:  We finally show that artificial perfusion experiments with no-hemoglobin blood tend to give a two-orders-of-magnitude underestimation of the in vivo oxygen uptake and that the optimal geometry for such setup alters significantly.
Edit intent: clarity
Original:  The theory allows one to adjust the results of artificial placenta perfusion  to account for oxygen-hemoglobin dissociation.
Revised:  The theory allows one to adjust the results of artificial placenta perfusion experiments to account for oxygen-hemoglobin dissociation.
Edit intent: clarity
Original:  And how can we classify which accounts belong to liberal, conservatives or centrist users?
Revised:  And how can we tell which accounts belong to liberal, conservatives or centrist users?
Edit intent: clarity
Original:  And how can we classify which accounts belong to liberal, conservatives or centrist users?
Revised:  And how can we classify which accounts belong to liberal, conservative or centrist users?
Edit intent: fluency
Original:  We can often predict the class of a node  based on its neighbors in some underlying network and appropriate assumptions of homophily (  birds of a feather fock together") or heterophily ("opposites attract").
Revised:  Often, we can answer such questions and label the class of a node based on its neighbors in some underlying network and appropriate assumptions of homophily ( birds of a feather fock together") or heterophily ("opposites attract").
Edit intent: clarity
Original:  We can often predict the class of a node  based on its neighbors in some underlying network and appropriate assumptions of homophily (  birds of a feather fock together") or heterophily ("opposites attract").
Revised:  We can often predict the class of a node in a network based on its neighbors in some underlying network and appropriate assumptions of homophily ( birds of a feather fock together") or heterophily ("opposites attract").
Edit intent: fluency
Original:  We can often predict the class of a node  based on its neighbors in some underlying network and appropriate assumptions of homophily (  birds of a feather fock together") or heterophily ("opposites attract").
Revised:  We can often predict the class of a node based on its neighbors and appropriate assumptions of homophily ( birds of a feather fock together") or heterophily ("opposites attract").
Edit intent: clarity
Original:  We can often predict the class of a node  based on its neighbors in some underlying network and appropriate assumptions of homophily (  birds of a feather fock together") or heterophily ("opposites attract").
Revised:  We can often predict the class of a node based on its neighbors in some underlying network and appropriate assumptions of homophily ( " birds of a feather fock together") or heterophily ("opposites attract").
Edit intent: fluency
Original:  We can often predict the class of a node  based on its neighbors in some underlying network and appropriate assumptions of homophily (  birds of a feather fock together") or heterophily ("opposites attract").
Revised:  We can often predict the class of a node based on its neighbors in some underlying network and appropriate assumptions of homophily ( birds of a feather flock together") or heterophily ("opposites attract").
Edit intent: fluency
Original:  One of the most widely used methods for this kind of reasoning is Belief Propagation (BP) which  propagates the information from a few nodes with explicit beliefs throughout the network until they converge.
Revised:  One of the most widely used methods for this kind of reasoning is Belief Propagation (BP) which iteratively propagates the information from a few nodes with explicit beliefs throughout the network until they converge.
Edit intent: clarity
Original:  One main problem with BP , however, is that there are no guarantees of convergence in general graphs with loops.
Revised:  One main problem with BP is that there are no guarantees of convergence in general graphs with loops.
Edit intent: coherence
Original:  This paper introduces Linearized Belief Propagation (LPB), a linearization of BP that allows a closed-form solution via intuitive matrix calculations and, thus, comes with convergence guarantees (in contrast to standard BP) .
Revised:  This paper introduces Linearized Belief Propagation (LPB), a linearization of BP that allows a closed-form solution via intuitive matrix calculations and, thus, comes with convergence guarantees .
Edit intent: clarity
Original:  It handles homophily, heterophily, and more general cases of multiclass settings, and works for directed and weighted edges .
Revised:  It handles homophily, heterophily, and more general cases that arise in multi-class settings .
Edit intent: clarity
Original:  TBP (in contrast to standard BP and LBP) allows fast incremental updates in case of newly found evidence in the underlying data .
Revised:  TBP (in contrast to standard BP and LBP) allows fast incremental updates in case of new explicit labels in the graph .
Edit intent: clarity
Original:  We show an intuitive connection between LBP and TBP by proving that the labeling assignment for both are identical in the limit of decreasing coupling strengths between nodes in the graph.
Revised:  We show an intuitive connection between LBP and TBP by proving that the labeling assignments for both are identical in the limit of decreasing coupling strengths between nodes in the graph.
Edit intent: fluency
Original:  Finally , the linearized matrix equations of both new formalisms allow a compact implementation in SQL
Revised:  Importantly , the linearized matrix equations of both new formalisms allow a compact implementation in SQL
Edit intent: coherence
Original:  TBP (in contrast to standard BP and LBP) allows fast incremental updates in case of new explicit labels  in the graph.
Revised:  TBP (in contrast to standard BP and LBP) allows fast incremental updates in case of new explicit labels or new edges in the graph.
Edit intent: clarity
Original:  Often, we can answer such questions and label the class of a node in a network based on its neighbors and appropriate assumptions of homophily ("birds of a feather flock together") or heterophily ("opposites attract").
Revised:  Often, we can answer such questions and label nodes in a network based on its neighbors and appropriate assumptions of homophily ("birds of a feather flock together") or heterophily ("opposites attract").
Edit intent: clarity
Original:  Often, we can answer such questions and label the class of a node in a network based on its neighbors and appropriate assumptions of homophily ("birds of a feather flock together") or heterophily ("opposites attract").
Revised:  Often, we can answer such questions and label the class of a node in a network based on the labels of their neighbors and appropriate assumptions of homophily ("birds of a feather flock together") or heterophily ("opposites attract").
Edit intent: clarity
Original:  One of the most widely used methods for this kind of reasoning is Belief Propagation (BP) which iteratively propagates the information from a few nodes with explicit beliefs throughout the network until it converges.
Revised:  One of the most widely used methods for this kind of inference is Belief Propagation (BP) which iteratively propagates the information from a few nodes with explicit beliefs throughout the network until it converges.
Edit intent: clarity
Original:  However, one main problem with BP  is that there are no  guarantees of convergence in general graphs with loops.
Revised:  However, one main problem with BP , however, is that there are no guarantees of convergence in general graphs with loops.
Edit intent: coherence
Original:  However, one main problem with BP  is that there are no  guarantees of convergence in general graphs with loops.
Revised:  However, one main problem with BP is that there are no guarantees of convergence in graphs with loops.
Edit intent: clarity
Original:  This paper introduces Linearized Belief Propagation ( LPB ), a linearization of BP that allows a closed-form solution via intuitive matrix calculations and, thus, comes with convergence guarantees.
Revised:  This paper introduces Linearized Belief Propagation ( LPB ), a linearization of BP that allows a closed-form solution via intuitive matrix equations and, thus, comes with convergence guarantees.
Edit intent: clarity
Original:  TBP (in contrast to standard BP and LBP) allows fast incremental updates in case of new explicit labels or new edges in the graph.
Revised:  In addition, SBP allows fast incremental updates in case of new explicit labels or new edges in the graph.
Edit intent: coherence
Original:  Importantly, the linearized matrix equations of both new methods allow compact implementations in SQL. Finally, our runtime experiments show that both new methods are orders of magnitude faster than standard BP while leading to almost identical node labels.
Revised:  Importantly, the linearized matrix equations of both new methods allow compact implementations in SQL. Finally, our runtime experiments show that both new methods are orders of magnitude faster than standard 
Edit intent: clarity
Original:  We also show that the bad news continues  when one considers extensions of well-behaved subclasses of recursive timed automatato hybrid automata .
Revised:  While the bad news continues when one considers extensions of well-behaved subclasses of recursive timed automatato hybrid automata .
Edit intent: coherence
Original:  We also show that the bad news continues  when one considers extensions of well-behaved subclasses of recursive timed automatato hybrid automata .
Revised:  We also show that the bad news continues even when one considers extensions of well-behaved subclasses of recursive timed automatato hybrid automata .
Edit intent: clarity
Original:  We also show that the bad news continues  when one considers extensions of well-behaved subclasses of recursive timed automatato hybrid automata .
Revised:  We also show that the bad news continues when one considers well-behaved subclasses of recursive timed automatato hybrid automata .
Edit intent: clarity
Original: Blind source separation (BSS) has proven to be a powerful and widely-applicable tool for the analysis and interpretation of composite patterns in engineering and science.
Revised: Blind Source Separation (BSS) has proven to be a powerful and widely-applicable tool for the analysis and interpretation of composite patterns in engineering and science.
Edit intent: fluency
Original: Blind source separation (BSS) has proven to be a powerful and widely-applicable tool for the analysis and interpretation of composite patterns in engineering and science.
Revised: Blind source separation (BSS) has proven to be a powerful tool for the analysis and interpretation of composite patterns in engineering and science.
Edit intent: clarity
Original: Blind source separation (BSS) has proven to be a powerful and widely-applicable tool for the analysis and interpretation of composite patterns in engineering and science.
Revised: Blind source separation (BSS) has proven to be a powerful and widely-applicable tool for the analysis of composite patterns in engineering and science.
Edit intent: clarity
Original:  Most BSS algorithms aim to find a matrix factorization of data under certain assumptions (e.g., source independence or solution sparsity) which may be invalid for real-world BSS problems.
Edit intent: coherence
Original:  We introduce Convex Analysis of Mixtures (CAM) for separating non-negative well-grounded sources . Based on a geometrical latent variable model, CAM learns the mixing matrix by identifying the lateral edges of the convex data scatter plot.
Revised:  We introduce Convex Analysis of Mixtures (CAM) for separating non-negative well-grounded sources , which learns the mixing matrix by identifying the lateral edges of the convex data scatter plot.
Edit intent: coherence
Original:  The superior performance of CAM against a panel of benchmark BSS techniques is demonstrated on numerically mixed real gene expression data.
Revised:  The superior performance of CAM against a panel of benchmark BSS techniques is demonstrated on numerically mixed gene expression data.
Edit intent: clarity
Original:  We also apply CAM to time-course microarray gene expression data derived from in-vivo muscle regeneration in mice, observing a biologically plausible pathway decomposition that reveals the expected dynamics of relevant biological processes .
Revised:  We also apply CAM to time-course microarray gene expression data derived from in-vivo muscle regeneration in mice, both producing biologically plausible decomposition results .
Edit intent: clarity
Original: It is known, that if an \epsilon-machine is exactly synchronizable then the probability of generating non-reset words of length L vanishes exponentially fast as a^L where a is the synchronization rate constant.
Revised: It is known, that an \epsilon-machine is exactly synchronizable then the probability of generating non-reset words of length L vanishes exponentially fast as a^L where a is the synchronization rate constant.
Edit intent: coherence
Original:  In the present work we show how to compute the synchronization rate constant in a polynomial time in terms of the number of machine states.
Revised:  In the present work we show how to approximate these constants in polynomial time in terms of the number of machine states.
Edit intent: clarity
Original: In this article we introduce a procedure  which allows to recover the potentially very good approximation properties of tensor-based model reduction procedures for the solution of partial differential equations in the presence of interfaces or strong gradients in the solution which are skewed with respect to the coordinate axes.
Revised: In this article we introduce a procedure , which allows to recover the potentially very good approximation properties of tensor-based model reduction procedures for the solution of partial differential equations in the presence of interfaces or strong gradients in the solution which are skewed with respect to the coordinate axes.
Edit intent: fluency
Original:  For prescribed interfaces we demonstrate in numerical experiments for linear elliptic equations and the reduced basis-hierarchical model reduction approach that the proposed procedure  yields a significantly improved convergence behavior even in the case when we only consider an approximation of the interface.
Revised:  We demonstrate in numerical experiments for linear elliptic equations and the reduced basis-hierarchical model reduction approach that the proposed procedure yields a significantly improved convergence behavior even in the case when we only consider an approximation of the interface.
Edit intent: clarity
Original: We define a measure of cooperativity for gene regulatory networks which we propose should be maximized under a demand for energy efficiency .
Revised: We define a measure of coherent activity for gene regulatory networks which we propose should be maximized under a demand for energy efficiency .
Edit intent: clarity
Original: We define a measure of cooperativity for gene regulatory networks which we propose should be maximized under a demand for energy efficiency .
Revised: We define a measure of cooperativity for gene regulatory networks , a property that reflects the unity of purpose between the regulatory agents with a common target. We propose that such harmonious regulatory action is desirable under a demand for energy efficiency .
Edit intent: clarity
Original:  Next, we consider the cell-cycle regulatory network of the  yeast, Saccharomyces cerevisiae, as a case study and calculate its degree of cooperativity .
Revised:  Next, we consider the cell-cycle regulatory network of the yeast, Saccharomyces cerevisiae, as a case study and calculate their degree of coherence .
Edit intent: clarity
Original:  the first one exploits spatial locality for the formation of sub-coalitions of supply agents;
Revised:  the first one exploits spatial locality for the formation of coalitions of supply agents;
Edit intent: clarity
Original:  The protocol strikes a balance between the profit for the agents supplying the service and the ability to offer low-cost services .
Revised:  The protocol strikes a balance between the profit for the service providers .
Edit intent: clarity
Original:  We also report on the results of a preliminary protocol investigation .
Revised:  We also report the results of a preliminary protocol investigation .
Edit intent: fluency
Original:  Within a timeframe of 104 days , a total of 161,200 Twitter posts containing "bitcoin" in combination with positiveor negative sentiments and signals of uncertainty has been collected . Positive and negative sentiments were ex-ante filtered with the help of API queries, by using identifiers such as the words "happy , love, fun, good" or "bad , sad, unhappy" respectively.
Revised:  Within a timeframe of 104 days , a total of 161,200 Twitter posts containing "bitcoin" and a positive, negative or uncertainty related term were collected and further analyzed. For instance, the terms "happy , love, fun, good" or "bad , sad, unhappy" respectively.
Edit intent: clarity
Original:  Within a timeframe of 104 days , a total of 161,200 Twitter posts containing "bitcoin" in combination with positiveor negative sentiments and signals of uncertainty has been collected . Positive and negative sentiments were ex-ante filtered with the help of API queries, by using identifiers such as the words "happy , love, fun, good" or "bad , sad, unhappy" respectively.
Revised:  Within a timeframe of 104 days , a total of 161,200 Twitter posts containing "bitcoin" in combination with positiveor negative sentiments and signals of uncertainty has been collected . Positive and negative sentiments were ex-ante filtered with the help of API queries, by using identifiers such as the words "happy ", "love", "fun", " good" or "bad , sad, unhappy" respectively.
Edit intent: fluency
Original:  Within a timeframe of 104 days , a total of 161,200 Twitter posts containing "bitcoin" in combination with positiveor negative sentiments and signals of uncertainty has been collected . Positive and negative sentiments were ex-ante filtered with the help of API queries, by using identifiers such as the words "happy , love, fun, good" or "bad , sad, unhappy" respectively.
Revised:  Within a timeframe of 104 days , a total of 161,200 Twitter posts containing "bitcoin" in combination with positiveor negative sentiments and signals of uncertainty has been collected . Positive and negative sentiments were ex-ante filtered with the help of API queries, by using identifiers such as the words "happy , love, fun, good" , "bad , sad, unhappy" respectively.
Edit intent: fluency
Original:  Within a timeframe of 104 days , a total of 161,200 Twitter posts containing "bitcoin" in combination with positiveor negative sentiments and signals of uncertainty has been collected . Positive and negative sentiments were ex-ante filtered with the help of API queries, by using identifiers such as the words "happy , love, fun, good" or "bad , sad, unhappy" respectively.
Revised:  Within a timeframe of 104 days , a total of 161,200 Twitter posts containing "bitcoin" in combination with positiveor negative sentiments and signals of uncertainty has been collected . Positive and negative sentiments were ex-ante filtered with the help of API queries, by using identifiers such as the words "happy , love, fun, good" or "bad ", "sad" and " unhappy" respectively.
Edit intent: coherence
Original:  Additionally, tweets on "hope , fear" and "worry" have been collected to derive insights on market dynamics and uncertainties.
Revised:  Additionally, tweets on "hope ", " fear" and "worry" have been collected to derive insights on market dynamics and uncertainties.
Edit intent: fluency
Original:  Current results show a significant positive correlation of emotional tweets with intraday close prices and trading volumes of Bitcoin.
Revised:  Current results show a significant positive correlation between emotional tweets and the close price, trading volume and intraday price spread of Bitcoin.
Edit intent: clarity
Original:  Summarizing, the microblogging platform Twitter may be interpreted as a virtual trading floor that heats up with virtual emotions and reflects market movements .
Revised:  Summarizing, the microblogging platform Twitter may be interpreted as a virtual trading floor , emotionally reflecting its trading dynamics .
Edit intent: clarity
Original:  Moreover, the population dynamics resulting from repeated interactions, where some information is withheld, while ensuring that the signals remain consistent with the past observations, converge in distribution .
Revised:  Moreover, the resulting population dynamics converge under reasonable assumptions .
Edit intent: clarity
Original: It is well known from the literature that the problem of learning the structure of Bayesian networks is very hard to tackle: its computational complexity is super-exponential in the number of nodes in the worst case and polynomial in most real-world scenarios.
Revised: It is well known in the literature that the problem of learning the structure of Bayesian networks is very hard to tackle: its computational complexity is super-exponential in the number of nodes in the worst case and polynomial in most real-world scenarios.
Edit intent: clarity
Original:  In this paper we show that backtracking degrades the stability of Bayesian network structure learning , for little gain in terms of speed.
Revised:  In this paper we show that backtracking degrades the stability of Bayesian network structure learning for little gain in terms of speed.
Edit intent: fluency
Original:  As an alternative, we introduce a general framework to parallelise constraint-based structure learning algorithms , and we investigate its performance using the bnlearn R package on four reference networks and two real-world data sets from genetics and systems biology.
Revised:  As an alternative, we describe a software architecture and framework that can be used to parallelise constraint-based structure learning algorithms , and we investigate its performance using the bnlearn R package on four reference networks and two real-world data sets from genetics and systems biology.
Edit intent: clarity
Original:  As an alternative, we introduce a general framework to parallelise constraint-based structure learning algorithms , and we investigate its performance using the bnlearn R package on four reference networks and two real-world data sets from genetics and systems biology.
Revised:  As an alternative, we introduce a general framework to parallelise constraint-based structure learning algorithms , and we investigate its performance using four reference networks and two real-world data sets from genetics and systems biology.
Edit intent: coherence
Original:  We show that on modern multi-core or multiprocessor hardware the proposed approach is always preferable over backtracking, which was developed when single-processor machines were the norm.
Revised:  We show that on modern multi-core or multiprocessor hardware parallel implementations are preferable over backtracking, which was developed when single-processor machines were the norm.
Edit intent: clarity
Original:  Here we investigated global patterns of variation in 157 whole genome sequences of Vibrio parahaemolyticus, a free living and seafood associated marine bacterium.
Revised:  Here we investigated global patterns of variation in 157 whole genome sequences of Vibrio parahaemolyticus, a free-living and seafood associated marine bacterium.
Edit intent: fluency
Original:  Under standard population genetic models, the two estimates should give similar answers but we found a 30 fold difference.
Revised:  Under standard neutral models, the two estimates should give similar answers but we found a 30 fold difference.
Edit intent: clarity