wanyu/IteraTeR_full_sent huggingface dataset:
Original:  The model integrates techniques for rapid, large-scale, reversible, conservative equilibration of node states and slow, small-scale, irreversible, dissipative adaptation of the edge states as a means to create multi-scale order.
Revised:  The model integrates techniques for rapid, large-scale, reversible, conservative equilibration of node states and slow, small-scale, irreversible, dissipative adaptation of the edge states as a means to create multiscale order.
Edit intent: fluency
Original:   The model integrates concepts of conservation, potentiation, fluctuation, dissipation, adaptation, equilibration  to illustrate the thermodynamic evolution URLanization in open systems.
Revised:  Isolated networks show multiscale dynamics, and externally driven networks evolve to efficiently connect external positive and negative potentials. The model integrates concepts of conservation, potentiation, fluctuation, dissipation, adaptation, equilibration to illustrate the thermodynamic evolution URLanization in open systems.
Edit intent: meaning-changed
Original:   Locality sensitive hashing (LSH), the most common approach to similarity search in high dimensions, does not provide such a fairness guarantee.
Revised:  In the low-dimensional case, this problem was first studied by Hu, Qiao, and Tao (PODS 2014). Locality sensitive hashing (LSH), the most common approach to similarity search in high dimensions, does not provide such a fairness guarantee.
Edit intent: meaning-changed
Original:  Then, we develop a data structure for fair similarity search under inner product , which requires nearly-linear space and exploits locality sensitive filters  .
Revised:  Then, we develop a data structure for fair similarity search under inner product , which requires nearly-linear space and exploits locality sensitive filters . The paper concludes with an experimental evaluation that highlights (un)fairness in a recommendation setting on real-world datasets and discusses the inherent unfairness introduced by solving other variants of the problem .
Edit intent: meaning-changed
Original: The choice of the ambiguity radius is critical when an investor uses the distributionally robust approach to address the issue that the portfolio optimization problem is sensitive to the uncertainties of the asset return distribution. It cannot be set too large because the larger the size of the ambiguity set the worse the portfolio return. It cannot be too small either; otherwise, one loses the robust protection. This tradeoff demands a financial understanding of the ambiguity set. In this paper, we propose a non-robust interpretation of the distributionally robust optimization (DRO) problem .
Revised: We propose a non-robust interpretation of the distributionally robust optimization (DRO) problem .
Edit intent: coherence
Original:  In this paper, we propose a non-robust interpretation of the distributionally robust optimization (DRO) problem . By relating the impact of an ambiguity set to the impact of a non-robust chance constraint, our interpretation allows investors to understand the size of the ambiguity set through parameters that are directly linked to investment performance .
Revised:  In this paper, we propose a non-robust interpretation of the distributionally robust optimization (DRO) problem by relating the impact of an ambiguity set to the impact of a non-robust chance constraint, our interpretation allows investors to understand the size of the ambiguity set through parameters that are directly linked to investment performance .
Edit intent: fluency
Original:  By relating the impact of an ambiguity set to the impact of a non-robust chance constraint, our interpretation allows investors to understand the size of the ambiguity set through parameters that are directly linked to investment performance .
Revised:  By relating the impact of uncertainties around the distribution on the impact of constraining the objective through tail probabilities. Our interpretation allows utility maximizers to figure out the size of the ambiguity set through parameters that are directly linked to investment performance .
Edit intent: clarity
Original:  By relating the impact of an ambiguity set to the impact of a non-robust chance constraint, our interpretation allows investors to understand the size of the ambiguity set through parameters that are directly linked to investment performance .
Revised:  By relating the impact of an ambiguity set to the impact of a non-robust chance constraint, our interpretation allows investors to understand the size of the ambiguity set through parameters that are directly linked to the chance parameters .
Edit intent: clarity
Original:  We first show that for general \phi-divergences, a DRO problem is asymptotically equivalent to a class of mean-deviation problem , where the ambiguity radius controls investor's risk preference.
Revised:  We first show that for general \phi-divergences, a DRO problem is asymptotically equivalent to a class of mean-deviation problems , where the ambiguity radius controls investor's risk preference.
Edit intent: fluency
Original:  Based on this non-robust reformulation, we then show that when a boundedness constraint is added to the investment strategy , the DRO problem can be cast as a chance-constrained optimization (CCO) problem without distributional uncertainties.
Revised:  Based on this non-robust reformulation, we then show that when a boundedness constraint is added to the investment strategy . The DRO problem can be cast as a chance-constrained optimization (CCO) problem without distributional uncertainties.
Edit intent: fluency
Original:  If the boundedness constraint is removed , the CCO problem is shown to perform uniformly better than the DRO problem, irrespective of the radius of the ambiguity set, the choice of the divergence measure, or the tail heaviness of the center distribution.
Revised:  Without the boundedness constraint is removed , the CCO problem is shown to perform uniformly better than the DRO problem, irrespective of the radius of the ambiguity set, the choice of the divergence measure, or the tail heaviness of the center distribution.
Edit intent: fluency
Original:  If the boundedness constraint is removed , the CCO problem is shown to perform uniformly better than the DRO problem, irrespective of the radius of the ambiguity set, the choice of the divergence measure, or the tail heaviness of the center distribution.
Revised:  If the boundedness constraint , the CCO problem is shown to perform uniformly better than the DRO problem, irrespective of the radius of the ambiguity set, the choice of the divergence measure, or the tail heaviness of the center distribution.
Edit intent: clarity
Original:  Our results apply to both the widely-used Kullback-Leibler (KL) divergence which requires the distribution of the objective function to be exponentially bounded, as well as those more general divergence measures which allow heavy tail ones such as student t and lognormal distributions .
Revised:  Besides the widely-used Kullback-Leibler (KL) divergence which requires the distribution of the objective function to be exponentially bounded, as well as those more general divergence measures which allow heavy tail ones such as student t and lognormal distributions .
Edit intent: clarity
Original:  Our results apply to both the widely-used Kullback-Leibler (KL) divergence which requires the distribution of the objective function to be exponentially bounded, as well as those more general divergence measures which allow heavy tail ones such as student t and lognormal distributions .
Revised:  Our results apply to both the widely-used Kullback-Leibler (KL) divergence which requires the distribution of the objective function to be exponentially bounded, our results apply to divergence measures that accommodate well heavy tail distribution such as the student t-distribution and the lognormal distribution. Comprehensive testings on synthetic data and real data are provided .
Edit intent: meaning-changed
Original:  The model consists of ordinary differential equations (ODE) resembling chemostats or continuous stirred tank reactors (CSTRs), an ODE for a mediator involved in electron transfer, and an algebraic constraint for electric current and hydrogen production.
Revised:  The model consists of ordinary differential equations (ODE) resembling chemostats or continuous stirred tank reactors (CSTRs), an ODE for an extracellular mediator involved in electron transfer, and an algebraic constraint for electric current and hydrogen production.
Edit intent: meaning-changed
Original:  We investigate global asymptotic stability in a modelwith finitely many species, Monod kinetics, different removal rates, and a constraint based on the Nernst and Butler-Volmer equations.
Revised:  We investigate asymptotic stability in a modelwith finitely many species, Monod kinetics, different removal rates, and a constraint based on the Nernst and Butler-Volmer equations.
Edit intent: clarity
Original:  We investigate global asymptotic stability in a modelwith finitely many species, Monod kinetics, different removal rates, and a constraint based on the Nernst and Butler-Volmer equations. If methanogens can grow at the lowest substrate concentration, then the equilibrium corresponding to competitive exclusion by methanogens is globally asymptotically stable.
Revised:  We investigate global asymptotic stability in two industrially relevant versions of the model. An important aspect of many chemostat models is the principle of competitive exclusion, which states that only the URLanisms which can grow at the lowest substrate concentration will survive. We show that if methanogens can grow at the lowest substrate concentration, then the equilibrium corresponding to competitive exclusion by methanogens is globally asymptotically stable.
Edit intent: meaning-changed
Original:  If methanogens can grow at the lowest substrate concentration, then the equilibrium corresponding to competitive exclusion by methanogens is globally asymptotically stable. Establishing the analogous result for electroactive bacteria has proven challenging.
Revised:  If methanogens can grow at the lowest substrate concentration, then the equilibrium corresponding to competitive exclusion by methanogens is globally stable. The analogous result for electroactive bacteria has proven challenging.
Edit intent: clarity
Original:  Establishing the analogous result for electroactive bacteria has proven challenging. As a first step towards characterizing stability of an electroactive-only equilibrium, we consider local asymptotic stability in a model with three types of microbes, general monotone kinetics, equal removal rates, and a general constraint .
Revised:  Establishing the analogous result for electroactive bacteria is not necessarily true. We show that local asymptotic stability in a model with three types of microbes, general monotone kinetics, equal removal rates, and a general constraint .
Edit intent: coherence
Original:  As a first step towards characterizing stability of an electroactive-only equilibrium, we consider local asymptotic stability in a model with three types of microbes, general monotone kinetics, equal removal rates, and a general constraint .
Revised:  As a first step towards characterizing stability of an electroactive-only equilibrium, we consider local asymptotic stability of competitive exclusion by electroactive bacteria is not guaranteed, even in a simplified model .
Edit intent: meaning-changed
Original:  We demonstrate fundamental results about dynamics and liquidity in stablecoin markets, demonstrate that these markets face deleveraging spirals that cause illiquidity during crises  , and show that these stablecoins have `stable ' and `unstable' domains.
Revised:  We derive fundamental results about dynamics and liquidity in stablecoin markets, demonstrate that these markets face deleveraging spirals that cause illiquidity during crises , and show that these stablecoins have `stable ' and `unstable' domains.
Edit intent: clarity
Original:  We demonstrate fundamental results about dynamics and liquidity in stablecoin markets, demonstrate that these markets face deleveraging spirals that cause illiquidity during crises  , and show that these stablecoins have `stable ' and `unstable' domains.
Revised:  We demonstrate fundamental results about dynamics and liquidity in stablecoin markets, demonstrate that these markets face deleveraging feedback effects that cause illiquidity during crises , and show that these stablecoins have `stable ' and `unstable' domains.
Edit intent: clarity
Original:  We demonstrate fundamental results about dynamics and liquidity in stablecoin markets, demonstrate that these markets face deleveraging spirals that cause illiquidity during crises  , and show that these stablecoins have `stable ' and `unstable' domains.
Revised:  We demonstrate fundamental results about dynamics and liquidity in stablecoin markets, demonstrate that these markets face deleveraging spirals that cause illiquidity during crises and exacerbate collateral drawdown, and characterize stable dynamics of the system under particular conditions. From these insights , and show that these stablecoins have `stable ' and `unstable' domains.
Edit intent: meaning-changed
Original:  We demonstrate fundamental results about dynamics and liquidity in stablecoin markets, demonstrate that these markets face deleveraging spirals that cause illiquidity during crises  , and show that these stablecoins have `stable ' and `unstable' domains. Starting from documented market behaviors, we explain actual stablecoin movements; further our results are robust to a wide range of potential behaviors. In simulations, we show that these systems are susceptible to high tail volatility and failure. Our model builds foundations for stablecoin design. Based on our results, we suggest design improvements that can improve long-term stability and suggest methods for solving pricing problems that arise in existing stablecoins.
Revised:  We demonstrate fundamental results about dynamics and liquidity in stablecoin markets, demonstrate that these markets face deleveraging spirals that cause illiquidity during crises , we suggest design improvements that can improve long-term stability and suggest methods for solving pricing problems that arise in existing stablecoins.
Edit intent: coherence
Original:  Based on our results, we suggest design improvements that can improve long-term stability and suggest methods for solving pricing problems that arise in existing stablecoins. In addition to the direct risk of instability, our dynamics results suggest a profitable economic attack during extreme events that can induce volatility in the `stable' asset .
Revised:  Based on our results, we suggest design improvements that can improve long-term stability . We also introduce new attacks that exploit arbitrage-like opportunities around stablecoin liquidations. Using our model, we demonstrate that these can be profitable. These attacks may induce volatility in the `stable' asset .
Edit intent: meaning-changed
Original:  In addition to the direct risk of instability, our dynamics results suggest a profitable economic attack during extreme events that can induce volatility in the `stable' asset . This attack additionally suggests ways in which stablecoins can cause perverse incentives for miners, posing risks to blockchain consensus.
Revised:  In addition to the direct risk of instability, our dynamics results suggest a profitable economic attack during extreme events that can induce volatility in the `stable' asset and cause perverse incentives for miners, posing risks to blockchain consensus.
Edit intent: clarity
Original:  These attacks may induce volatility in the `stable' asset and cause perverse incentives for miners, posing risks to blockchain consensus  .
Revised:  These attacks may induce volatility in the `stable' asset and cause perverse incentives for miners, posing risks to blockchain consensus . A variant of such attacks also later occurred during Black Thursday, taking the form of mempool manipulation to clear Dai liquidation auctions at near zero prices, costing 8m .
Edit intent: meaning-changed
Original: We introduce the notion of rough local stochastic volatility models , extending the classical concept to the case where volatility is driven by some Volterra process. In this setting, we show that the pricing function is the solution to a path-dependent PDE , for which we develop a numerical scheme based on Deep Learning techniques.
Revised: We introduce the notion of rough local stochastic volatility models . We show that the pricing function is the solution to a path-dependent PDE , for which we develop a numerical scheme based on Deep Learning techniques.
Edit intent: clarity
Original:  One of the main obstacles in implementing wide scale acoustic monitoring programs in terrestrial environments is the lack of user-friendly, open source programs for processing acoustic data. 2. Here we describe the new, open-source R package GIBBONR which has functions for classification, detection and visualization of acoustic signals using different readily available machine learning algorithms in the R programming environment.
Revised:  One of the main obstacles in implementing wide scale acoustic monitoring programs in terrestrial environments is the lack of user-friendly, open source programs for processing large sound archives. Here we describe the new, open-source R package GIBBONR which has functions for classification, detection and visualization of acoustic signals using different readily available machine learning algorithms in the R programming environment.
Edit intent: clarity
Original:  2. Here we describe the new, open-source R package GIBBONR which has functions for classification, detection and visualization of acoustic signals using different readily available machine learning algorithms in the R programming environment.
Revised:  2. Here we describe the new, open-source R package GIBBONFINDR which has functions for classification, detection and visualization of acoustic signals using different readily available machine learning algorithms in the R programming environment.
Edit intent: meaning-changed
Original:  2. Here we describe the new, open-source R package GIBBONR which has functions for classification, detection and visualization of acoustic signals using different readily available machine learning algorithms in the R programming environment.
Revised:  2. Here we describe the new, open-source R package GIBBONR which has functions for classification, detection and visualization of acoustic signals using a variety of readily available machine learning algorithms in the R programming environment.
Edit intent: fluency
Original:  3. We provide a case study showing how GIBBONR functions can be used in a workflow to classify and detect Bornean gibbon (Hylobates muelleri) calls in long-term recordings from Danum Valley Conservation Area, Sabah Malaysia.
Revised:  We provide a case study showing how GIBBONR functions can be used in a workflow to classify and detect Bornean gibbon (Hylobates muelleri) calls in long-term recordings from Danum Valley Conservation Area, Sabah Malaysia.
Edit intent: coherence
Original:  3. We provide a case study showing how GIBBONR functions can be used in a workflow to classify and detect Bornean gibbon (Hylobates muelleri) calls in long-term recordings from Danum Valley Conservation Area, Sabah Malaysia.
Revised:  3. We provide a case study showing how GIBBONFINDR functions can be used in a workflow to classify and detect Bornean gibbon (Hylobates muelleri) calls in long-term recordings from Danum Valley Conservation Area, Sabah Malaysia.
Edit intent: meaning-changed
Original:  3. We provide a case study showing how GIBBONR functions can be used in a workflow to classify and detect Bornean gibbon (Hylobates muelleri) calls in long-term recordings from Danum Valley Conservation Area, Sabah Malaysia.
Revised:  3. We provide a case study showing how GIBBONR functions can be used in a workflow to detect and classify Bornean gibbon (Hylobates muelleri) calls in long-term recordings from Danum Valley Conservation Area, Sabah Malaysia.
Edit intent: fluency
Original:  3. We provide a case study showing how GIBBONR functions can be used in a workflow to classify and detect Bornean gibbon (Hylobates muelleri) calls in long-term recordings from Danum Valley Conservation Area, Sabah Malaysia.
Revised:  3. We provide a case study showing how GIBBONR functions can be used in a workflow to classify and detect Bornean gibbon (Hylobates muelleri) calls in long-term acoustic data sets recorded in Danum Valley Conservation Area, Sabah Malaysia.
Edit intent: clarity
Original:  3. We provide a case study showing how GIBBONR functions can be used in a workflow to classify and detect Bornean gibbon (Hylobates muelleri) calls in long-term recordings from Danum Valley Conservation Area, Sabah Malaysia. 4. Machine learning is currently one of the most rapidly growing fields-- with applications across many disciplines-- and our goal is to make commonly used signal processing techniques and machine learning algorithms readily available for ecologists who are interested in incorporating bioacoustics techniques into their research.
Revised:  3. We provide a case study showing how GIBBONR functions can be used in a workflow to classify and detect Bornean gibbon (Hylobates muelleri) calls in long-term recordings from Danum Valley Conservation Area, Sabah , Malaysia. Machine learning is currently one of the most rapidly growing fields-- with applications across many disciplines-- and our goal is to make commonly used signal processing techniques and machine learning algorithms readily available for ecologists who are interested in incorporating bioacoustics techniques into their research.
Edit intent: coherence
Original:  In this paper, we hypothesize that flexible cell-type-associated chromatin configuration is associated with cell potency and has  advantage over inflexible one in regulating genome related activities, such as DNA replication, gene expressions , DNA repair, and  mutagenesis.
Revised:  In this paper, we hypothesize that flexible cell-type-associated chromatin configuration is associated with cell potency and has an advantage over inflexible one in regulating genome related activities, such as DNA replication, gene expressions , DNA repair, and mutagenesis.
Edit intent: fluency
Original:  In this paper, we hypothesize that flexible cell-type-associated chromatin configuration is associated with cell potency and has  advantage over inflexible one in regulating genome related activities, such as DNA replication, gene expressions , DNA repair, and  mutagenesis.
Revised:  In this paper, we hypothesize that flexible cell-type-associated chromatin configuration is associated with cell potency and has advantage over inflexible one in regulating genome related activities, such as DNA replication, DNA transcription , DNA repair, and mutagenesis.
Edit intent: clarity
Original:  In this paper, we hypothesize that flexible cell-type-associated chromatin configuration is associated with cell potency and has  advantage over inflexible one in regulating genome related activities, such as DNA replication, gene expressions , DNA repair, and  mutagenesis.
Revised:  In this paper, we hypothesize that flexible cell-type-associated chromatin configuration is associated with cell potency and has advantage over inflexible one in regulating genome related activities, such as DNA replication, gene expressions , DNA repair, and DNA mutagenesis.
Edit intent: fluency