wanyu/IteraTeR_full_sent huggingface dataset:
Original:  The reason why cancer is so difficult to treat is because CACC is flexible, which enables cancer cells not only to produce various heterogeneous subclones through limited cell differentiations , but also to maximally and efficiently use genome related resources to survive environmental changes.
Revised:  The reason why cancer is so difficult to treat is because CACC is flexible, which enables cancer cells not only to produce various heterogeneous subclones through limited cell differentiation , but also to maximally and efficiently use genome related resources to survive environmental changes.
Edit intent: fluency
Original: We establish laws of large numbers for comparing sums of i.i.d. random variables in terms of stochastic dominance. Our results shed new light on a classic question, raised first by Samuelson (1963), on the relation between expected utility, risk aversion, and the aggregation of independent risks .
Revised: We study repeated independent Blackwell experiments; standard examples include drawing multiple samples from a population, or performing a measurement in different locations .
Edit intent: meaning-changed
Original:  In the context of statistical experiments, we answer a long-standing open question posed by Blackwell (1951) : we show that generically, an experiment is more informative than another in large samples if and only if it has higher Renyi divergences  .
Revised:  In the baseline setting of a binary state of nature, we compare experiments in terms of their informativeness in large samples. Addressing a question due to Blackwell (1951) : we show that generically, an experiment is more informative than another in large samples if and only if it has higher Renyi divergences .
Edit intent: meaning-changed
Original:  In the context of statistical experiments, we answer a long-standing open question posed by Blackwell (1951) : we show that generically, an experiment is more informative than another in large samples if and only if it has higher Renyi divergences  .
Revised:  In the context of statistical experiments, we answer a long-standing open question posed by Blackwell (1951) we show that generically, an experiment is more informative than another in large samples if and only if it has higher Renyi divergences .
Edit intent: fluency
Original:  In the context of statistical experiments, we answer a long-standing open question posed by Blackwell (1951) : we show that generically, an experiment is more informative than another in large samples if and only if it has higher Renyi divergences  .
Revised:  In the context of statistical experiments, we answer a long-standing open question posed by Blackwell (1951) : we show that generically, an experiment is more informative than another in large samples if and only if it has higher Renyi divergences . As an application of our techniques we in addition provide a novel characterization of kth-order stochastic dominance as second-order stochastic dominance of large i.i.d. sums .
Edit intent: meaning-changed
Original:  Addressing a question due to Blackwell (1951)  we show that generically , an experiment is more informative than another in large samples if and only if it has higher Renyi divergences.
Revised:  Addressing a question due to Blackwell (1951) , we show that generically , an experiment is more informative than another in large samples if and only if it has higher Renyi divergences.
Edit intent: fluency
Original:  As an application, we show that every additive divergence  is an integral of Renyi divergences.
Revised:  We apply our analysis to the problem of measuring the degree of dissimilarity between distributions by means of divergences. A useful property of Renyi divergences is their additivity with respect to product distributions. Our characterization of Blackwell dominance in large samples implies that every additive divergence is an integral of Renyi divergences.
Edit intent: meaning-changed
Original: The relationship between the intelligence and brain morphology is warmly concerned in cognitive field. General intelligence can be defined as the weighted sum of fluid and crystallized intelligence. Fluid abilities depend on genes and genes expression and less depend on experiences. Thus, these abilities develop rapidly during childhood, usually peaking in adulthood and then decreasing with age. Crystallized abilities, in contrast, more depend on experiences.
Revised: Most studies indicate that intelligence (g) is positively correlated with cortical thickness.
Edit intent: meaning-changed
Original:  In this study, by utilizing the structural brain magnetic resonance imaging from a large sample of the Adolescent Brain Cognitive Development Study , the largest cohort focusing in brain development and child healthy in the United States, we aim to identify the association between intelligence and cortical thickness in adolescents both from commonality and individuality.
Revised:  In this study, we aimed to identify the association between intelligence and cortical thickness in adolescents from both the group's mean and dispersion point of view, utilizing the structural brain magnetic resonance imaging from a large sample of the Adolescent Brain Cognitive Development Study , the largest cohort focusing in brain development and child healthy in the United States, we aim to identify the association between intelligence and cortical thickness in adolescents both from commonality and individuality.
Edit intent: meaning-changed
Original:  In this study, by utilizing the structural brain magnetic resonance imaging from a large sample of the Adolescent Brain Cognitive Development Study , the largest cohort focusing in brain development and child healthy in the United States, we aim to identify the association between intelligence and cortical thickness in adolescents both from commonality and individuality.
Revised:  In this study, by utilizing the structural brain imaging from the Adolescent Brain Cognitive Development Study , the largest cohort focusing in brain development and child healthy in the United States, we aim to identify the association between intelligence and cortical thickness in adolescents both from commonality and individuality.
Edit intent: clarity
Original:  In this study, by utilizing the structural brain magnetic resonance imaging from a large sample of the Adolescent Brain Cognitive Development Study , the largest cohort focusing in brain development and child healthy in the United States, we aim to identify the association between intelligence and cortical thickness in adolescents both from commonality and individuality.
Revised:  In this study, by utilizing the structural brain magnetic resonance imaging from a large sample of the Adolescent Brain and Cognitive Development (ABCD) Consortium , the largest cohort focusing in brain development and child healthy in the United States, we aim to identify the association between intelligence and cortical thickness in adolescents both from commonality and individuality.
Edit intent: meaning-changed
Original:  In this study, by utilizing the structural brain magnetic resonance imaging from a large sample of the Adolescent Brain Cognitive Development Study , the largest cohort focusing in brain development and child healthy in the United States, we aim to identify the association between intelligence and cortical thickness in adolescents both from commonality and individuality. We use ABCD data set around 11,000 samples cortical thickness and cognitive scores to analysis their association , both from mean and dispersion aspects.
Revised:  In this study, by utilizing the structural brain magnetic resonance imaging from a large sample of the Adolescent Brain Cognitive Development Study , the largest cohort in early adolescents around 10 years old. The mean and dispersion parameters of cortical thickness and cognitive scores to analysis their association , both from mean and dispersion aspects.
Edit intent: clarity
Original:  We use ABCD data set around 11,000 samples cortical thickness and cognitive scores to analysis their association , both from mean and dispersion aspects. Using double generalized linear model, the mean model results is almost the same as generalized linear model, we found crystallized intelligenceare more associated with cortical thickness than fluid intelligence in adolescents around 10 years old.
Revised:  We use ABCD data set around 11,000 samples cortical thickness and their association with intelligence were estimated using double generalized linear model, the mean model results is almost the same as generalized linear model, we found crystallized intelligenceare more associated with cortical thickness than fluid intelligence in adolescents around 10 years old.
Edit intent: clarity
Original:  Using double generalized linear model, the mean model results is almost the same as generalized linear model, we found crystallized intelligenceare more associated with cortical thickness than fluid intelligence in adolescents around 10 years old.
Revised:  Using double generalized linear models(DGLM). We found that for the mean model results is almost the same as generalized linear model, we found crystallized intelligenceare more associated with cortical thickness than fluid intelligence in adolescents around 10 years old.
Edit intent: clarity
Original:  Using double generalized linear model, the mean model results is almost the same as generalized linear model, we found crystallized intelligenceare more associated with cortical thickness than fluid intelligence in adolescents around 10 years old. We found the frontal gyri regions thickness are negative with intelligence , which is consistent with previous study. Intelligence appears to be associated with widespread increased mean differences and decreased heterogeneity in  cortical thickness .
Revised:  Using double generalized linear model, the mean model part, the thickness of the frontal lobe like superior frontal gyrus was negatively related to intelligence, while the surface area was most positively associated with intelligence in cortical thickness .
Edit intent: coherence
Original:  Intelligence appears to be associated with widespread increased mean differences and decreased heterogeneity in  cortical thickness .
Revised:  Intelligence appears to be associated with widespread increased mean differences and decreased heterogeneity in the frontal lobe. In the dispersion part, intelligence was negatively correlated with the dispersion of cortical thickness in widespread areas, but not with the surface area. These results suggested that people with higher IQ are more similar in cortical thickness .
Edit intent: meaning-changed
Original:  Intelligence appears to be associated with widespread increased mean differences and decreased heterogeneity in  cortical thickness . The results seem to support the notion that cognitive function has high heterogeneity . Higher cognitive abilities have lower heterogeneity, and lower cognitive abilities has higher heterogeneity .
Revised:  Intelligence appears to be associated with widespread increased mean differences and decreased heterogeneity in cortical thickness , which may be related to less differentiation or heterogeneity in cortical columns .
Edit intent: meaning-changed
Original:   Our work shows that dyslexia can be screened using a computational approach.
Revised:  To check the robustness of the method we tested our method using a new data set with over 1,300 participants with age customized tests in a different environment -- a tablet instead of a desktop computer -- reaching a recall of over 72\% for the class with dyslexia for children 9 years old or older. Our work shows that dyslexia can be screened using a computational approach.
Edit intent: meaning-changed
Original:  The DMRD condition implies log-concavity of the expected profits per unit of output without additional assumptions on the existence or the shape of the density of the demand intercept and  hence, answers in the affirmative the conjecture of Lagerl\"of (2006) that such conditions may not be necessary.
Revised:  The DMRD condition implies log-concavity of the expected profits per unit of output without additional assumptions on the existence or the shape of the density of the demand intercept and , hence, answers in the affirmative the conjecture of Lagerl\"of (2006) that such conditions may not be necessary.
Edit intent: fluency
Original: This paper exploits the advantages of sequential Monte Carlo (SMC)  to develop parameter estimation and model selection methods for GARCH (Generalized AutoRegressive Conditional Heteroskedasticity) style models.
Revised: This paper exploits the advantages of sequential Monte Carlo (SMC) are exploited to develop parameter estimation and model selection methods for GARCH (Generalized AutoRegressive Conditional Heteroskedasticity) style models.
Edit intent: meaning-changed
Original:  Finally, we develop an unbiased estimator of the likelihood  for the Bad Environment-Good Environment model, a complex GARCH-type model, which permits exact Bayesian inference not previously available in the literature.
Revised:  Finally, an unbiased estimator of the likelihood for the Bad Environment-Good Environment model, a complex GARCH-type model, which permits exact Bayesian inference not previously available in the literature.
Edit intent: coherence
Original:  Finally, we develop an unbiased estimator of the likelihood  for the Bad Environment-Good Environment model, a complex GARCH-type model, which permits exact Bayesian inference not previously available in the literature.
Revised:  Finally, we develop an unbiased estimator of the likelihood is developed for the Bad Environment-Good Environment model, a complex GARCH-type model, which permits exact Bayesian inference not previously available in the literature.
Edit intent: meaning-changed
Original:  This paper introduces a dynamic metabolic modelling framework that is a synthesis of recent ideas on resource allocation and the powerful optimal control formulation of Ramkrishna and colleagues.
Revised: Organisms have evolved a variety of mechanisms to cope with the unpredictability of environmental conditions, and yet mainstream models of metabolic regulation are typically based on strict optimality principles that do not account for uncertainty. This paper introduces a dynamic metabolic modelling framework that is a synthesis of recent ideas on resource allocation and the powerful optimal control formulation of Ramkrishna and colleagues.
Edit intent: coherence
Original:  The resulting theory is successful in describing  strategies employed by cell populations dealing with uncertainty in a fluctuating environment, including heterogenous resource investment, accumulation of reserves in growth-limiting conditions, and the observed behaviour of yeast growing in batch and continuous cultures.
Revised:  The resulting theory is successful in describing `bet-hedging' strategies employed by cell populations dealing with uncertainty in a fluctuating environment, including heterogenous resource investment, accumulation of reserves in growth-limiting conditions, and the observed behaviour of yeast growing in batch and continuous cultures.
Edit intent: meaning-changed
Original: We study families of chemical reaction networks , with toric steady states . Larger family members are constructed algorithmically from a smallest networkand we show that many results about the entire family can be obtained by studying the small family members only.
Revised: We study families of chemical reaction networks whose positive steady states are toric, and therefore can be parameterized by monomials. Families are constructed algorithmically from a smallest networkand we show that many results about the entire family can be obtained by studying the small family members only.
Edit intent: meaning-changed
Original: We study families of chemical reaction networks , with toric steady states . Larger family members are constructed algorithmically from a smallest networkand we show that many results about the entire family can be obtained by studying the small family members only.
Revised: We study families of chemical reaction networks , with toric steady states . Larger family members are constructed algorithmically from a core network; we show that many results about the entire family can be obtained by studying the small family members only.
Edit intent: meaning-changed
Original: We study families of chemical reaction networks , with toric steady states . Larger family members are constructed algorithmically from a smallest networkand we show that many results about the entire family can be obtained by studying the small family members only. In particular, we prove that if a small family member is multistationary, then so are all of its larger members .
Revised: We study families of chemical reaction networks , with toric steady states . Larger family members are constructed algorithmically from a smallest networkand we show that if a family member is multistationary, then so are all of its larger members .
Edit intent: coherence
Original:  Further, we address the questions of model selection and experimental design  by investigating the algebraic dependencies of the chemical concentrations at positive steady state. To this end we define the positive steady state matroid as one of our central objects of study. We show that, given a family with toric steady states and a constant number of conservation relations, we can build a chain of matroids that encodes important algebraic information regarding the steady state behaviour of the entire family  .
Revised:  Further, we address the questions of model selection and experimental design by investigating the algebraic dependencies of the chemical concentrations using matroids. Given a family with toric steady states and a constant number of conservation relations, we can build a chain of matroids that encodes important algebraic information regarding the steady state behaviour of the entire family .
Edit intent: coherence
Original:  We show that, given a family with toric steady states and a constant number of conservation relations, we can build a chain of matroids that encodes important algebraic information regarding the steady state behaviour of the entire family  .
Revised:  We show that, given a family with toric steady states and a constant number of conservation relations, we construct a matroid that encodes important algebraic information regarding the steady state behaviour of the entire family .
Edit intent: clarity
Original:  We show that, given a family with toric steady states and a constant number of conservation relations, we can build a chain of matroids that encodes important algebraic information regarding the steady state behaviour of the entire family  .
Revised:  We show that, given a family with toric steady states and a constant number of conservation relations, we can build a chain of matroids that encodes important information regarding the steady state behaviour of the entire family .
Edit intent: clarity
Original:  We show that, given a family with toric steady states and a constant number of conservation relations, we can build a chain of matroids that encodes important algebraic information regarding the steady state behaviour of the entire family  .
Revised:  We show that, given a family with toric steady states and a constant number of conservation relations, we can build a chain of matroids that encodes important algebraic information regarding the steady state behaviour of the entire family . Among other things, this gives necessary conditions for the distinguishability of families of reaction networks with respect to a data set of measured chemical concentrations. We illustrate our results using multi-site phosphorylation networks .
Edit intent: meaning-changed
Original:  For any benefit-cost ratio above 1, the stable stationary concentrations of agents pass through four regimes as the baseline death rate p increases : (i) defection only, (ii) coexistence, (iii) cooperation only, (iv) extinction.
Revised:  When cooperation has higher cost than benefit, cooperators disappear. Then the dynamics reduces to the contact process with defectors as the single particle type. Increasing the benefit-cost ratio above 1, the stable stationary concentrations of agents pass through four regimes as the baseline death rate p increases : (i) defection only, (ii) coexistence, (iii) cooperation only, (iv) extinction.
Edit intent: meaning-changed
Original:  For any benefit-cost ratio above 1, the stable stationary concentrations of agents pass through four regimes as the baseline death rate p increases : (i) defection only, (ii) coexistence, (iii) cooperation only, (iv) extinction.
Revised:  For any benefit-cost ratio above 1, the extinction transition of the contact process splits into a set of nonequilibrium transitions between four regimes when increasing the baseline death rate p increases : (i) defection only, (ii) coexistence, (iii) cooperation only, (iv) extinction.
Edit intent: clarity
Original:  For any benefit-cost ratio above 1, the stable stationary concentrations of agents pass through four regimes as the baseline death rate p increases : (i) defection only, (ii) coexistence, (iii) cooperation only, (iv) extinction.
Revised:  For any benefit-cost ratio above 1, the stable stationary concentrations of agents pass through four regimes as the baseline death rate p as a control parameter : (i) defection only, (ii) coexistence, (iii) cooperation only, (iv) extinction.
Edit intent: clarity
Original: Despite a very effective vaccine , active conflict and community distrust during the ongoing DRC Ebola epidemic are undermining control efforts, including a ring vaccination strategy. However, 20\% or more of close contacts cannot be reached or refused vaccination, and it is predicted that the ring vaccination strategy would not be effective with such a high level of inaccessibility. In May 2019, the DRC expanded their control efforts to include a community vaccine strategy. To assess the impact of vaccination strategies for controlling Ebola epidemics in the context of variable levels of community resistance, we employed an individual-level stochastic transmission model.
Revised: Despite a very effective vaccine , active conflict and community distrust during the ongoing DRC Ebola epidemic are undermining control efforts, including vaccination strategies. In this paper, we employed an individual-level stochastic structured transmission model to assess the impact of vaccination strategies for controlling Ebola epidemics in the context of variable levels of community resistance, we employed an individual-level stochastic transmission model.
Edit intent: clarity
Original:  To assess the impact of vaccination strategies for controlling Ebola epidemics in the context of variable levels of community resistance, we employed an individual-level stochastic transmission model. Our results indicate that a ring vaccination strategy  would not be effective for containing the epidemic if levels of inaccessibility are too high and estimate the impact of a supplemental community vaccination strategy.
Revised:  To assess the impact of vaccination strategies for controlling Ebola epidemics in the context of variable levels of household inaccessibility. We found that a ring vaccination strategy would not be effective for containing the epidemic if levels of inaccessibility are too high and estimate the impact of a supplemental community vaccination strategy.
Edit intent: clarity
Original:  Our results indicate that a ring vaccination strategy  would not be effective for containing the epidemic if levels of inaccessibility are too high and estimate the impact of a supplemental community vaccination strategy.
Revised:  Our results indicate that a ring vaccination strategy would not be effective for containing the epidemic in the context of significant delays to vaccinating contacts even for low levels of household inaccessibility and evaluate the impact of a supplemental community vaccination strategy.
Edit intent: meaning-changed