wanyu/IteraTeR_full_sent huggingface dataset:
Original:  We  analyze the mission status and diagnostics of critical sub-systems within the robot to provide automatic updates to our  run-time reliability ontology , enabling faults to be translated into failure modes for decision making during the mission.
Revised:  We analyze the mission status and diagnostics of critical sub-systems within the robot to provide automatic updates to our AI-driven run-time reliability ontology , enabling faults to be translated into failure modes for decision making during the mission.
Edit intent: meaning-changed
Original:  We  analyze the mission status and diagnostics of critical sub-systems within the robot to provide automatic updates to our  run-time reliability ontology , enabling faults to be translated into failure modes for decision making during the mission.
Revised:  We analyze the mission status and diagnostics of critical sub-systems within the robot to provide automatic updates to our run-time reliability ontology . This enables faults to be translated into failure modes for decision making during the mission.
Edit intent: coherence
Original:  We demonstrate an asset inspection mission within a confined space and employ millimeter-wave sensing to enhance situational awareness to detect the presence of obscured personnel to mitigate risk. Our results demonstrate a symbiotic system provides an enhanced resilience capability to BVLOS missions. A symbiotic system addresses the operational challenges and reprioritization of autonomous mission objectives. This advances the technology required to achieve fully trustworthy autonomous systems .
Revised:  We also increase situational awareness with foresight sensing, based on robust, opaque environment compliant sensing to monitor unforeseen ambient risks .
Edit intent: meaning-changed
Original:  To achieve this, a Symbiotic Digital Architecture (SDA) was developed to synchronize digital models of the robot, environment and infrastructure and integrate front-end analytics and bidirectional communication for autonomous adaptive mission planning and situation reporting to a remote operator.
Revised:  To achieve this, a Symbiotic Digital Architecture (SDA) was developed to synchronize digital models of the robot, environment , infrastructure, and integrate front-end analytics and bidirectional communication for autonomous adaptive mission planning and situation reporting to a remote operator.
Edit intent: fluency
Original:  While many probabilistic generative models for graph clustering have been proposed , there are relatively few such models for hypergraphs. We propose a Poisson degree-corrected hypergraph stochastic blockmodel (DCHSBM), an expressive generative model of clustered hypergraphs with heterogeneous node degrees and edge sizes.
Revised:  While many probabilistic generative models for graph clustering have been proposed , there are few models and algorithms for hypergraph clustering. Here, we propose a Poisson degree-corrected hypergraph stochastic blockmodel (DCHSBM), an expressive generative model of clustered hypergraphs with heterogeneous node degrees and edge sizes.
Edit intent: clarity
Original:  We propose a Poisson degree-corrected hypergraph stochastic blockmodel (DCHSBM), an expressive generative model of clustered hypergraphs with heterogeneous node degrees and edge sizes.
Revised:  We propose a Poisson degree-corrected hypergraph stochastic blockmodel (DCHSBM), a generative model of clustered hypergraphs with heterogeneous node degrees and edge sizes.
Edit intent: clarity
Original:  We use our  model to analyze different patterns of higher-order structure in school contact networks, U.S. congressional bill cosponsorship, U.S. congressional committees, product categories in co-purchasing behavior, and hotel locations from web browsing sessions,  that it is able to recover ground truth clusters in empirical data sets exhibiting the corresponding higher-order structure.
Revised:  We use our generative model to analyze different patterns of higher-order structure in school contact networks, U.S. congressional bill cosponsorship, U.S. congressional committees, product categories in co-purchasing behavior, and hotel locations from web browsing sessions, that it is able to recover ground truth clusters in empirical data sets exhibiting the corresponding higher-order structure.
Edit intent: clarity
Original:  We use our  model to analyze different patterns of higher-order structure in school contact networks, U.S. congressional bill cosponsorship, U.S. congressional committees, product categories in co-purchasing behavior, and hotel locations from web browsing sessions,  that it is able to recover ground truth clusters in empirical data sets exhibiting the corresponding higher-order structure.
Revised:  We use our model to analyze different patterns of higher-order structure in school contact networks, U.S. congressional bill cosponsorship, U.S. congressional committees, product categories in co-purchasing behavior, and hotel locations from web browsing sessions, finding interpretable higher-order structure. We then study the behavior of our AON hypergraph Louvain algorithm, finding that it is able to recover ground truth clusters in empirical data sets exhibiting the corresponding higher-order structure.
Edit intent: meaning-changed
Original:  Buying currencies that are receivers and selling currencies that are transmitters of short-term shocks exhibits a high Sharpe ratioand yields a significant alpha when controlling for standard dollar, carry trade, volatility, variance risk premium and momentum strategies.
Revised:  A portfolio that buys net-receivers and sells net-transmitters of short-term shocks exhibits a high Sharpe ratioand yields a significant alpha when controlling for standard dollar, carry trade, volatility, variance risk premium and momentum strategies.
Edit intent: clarity
Original:  Buying currencies that are receivers and selling currencies that are transmitters of short-term shocks exhibits a high Sharpe ratioand yields a significant alpha when controlling for standard dollar, carry trade, volatility, variance risk premium and momentum strategies.
Revised:  Buying currencies that are receivers and selling currencies that are transmitters of short-term linkages between currency volatilities generates a significant Sharpe ratio. The network strategy formed on causal connections is uncorrelated with popular benchmarks and generates a significant alpha when controlling for standard dollar, carry trade, volatility, variance risk premium and momentum strategies.
Edit intent: meaning-changed
Original:  Buying currencies that are receivers and selling currencies that are transmitters of short-term shocks exhibits a high Sharpe ratioand yields a significant alpha when controlling for standard dollar, carry trade, volatility, variance risk premium and momentum strategies. This profitability stems primarily from the causal nature of shock propagation and not from contemporaneous dynamics. Shock propagation at longer horizons is priced less, indicating a downward-sloping term structure of uncertainty network riskin currency markets .
Revised:  Buying currencies that are receivers and selling currencies that are transmitters of short-term shocks exhibits a high Sharpe ratioand yields a significant alpha , while network returns formed on aggregate connections, which are driven by a strong correlation component, are partially subsumed by standard factors. Long-term linkages are priced less, indicating a downward-sloping term structure of uncertainty network riskin currency markets .
Edit intent: clarity
Original:  The method is optimal in the sense that its worst-case bound  exactly matches the lower bound on the oracle complexity for the class of problems, meaning that no black-box first-order method can have a better worst-case guarantee without further assumptions on the class of problems at hand.
Revised:  The method is optimal in the sense that its worst-case bound on the distance to an optimal point exactly matches the lower bound on the oracle complexity for the class of problems, meaning that no black-box first-order method can have a better worst-case guarantee without further assumptions on the class of problems at hand.
Edit intent: meaning-changed
Original:  The method is in some sense a generalization of the Optimized Gradient Method of Kim and Fessler (2016), and asymptotically corresponds to the Triple Momentum Method (Van Scoy et al., 2017), in the presence of strong convexity. Furthermore, the method is numerically stable to arbitrarily large condition numbers and admits a conceptually very simple proof, which involves a Lyapunov argument and a sum of two inequalities. Finally, we provide a numerical recipe for obtaining the algorithmic parameters of the method , using semidefinite programming, and illustrate that it can be used for developing other methods as well.
Revised:  In addition, we provide a numerical recipe for obtaining the algorithmic parameters of the method , using semidefinite programming, and illustrate that it can be used for developing other methods as well.
Edit intent: coherence
Original:  Yet the spatial correlations of such fluctuations  have a range as wide as the entire group : the speed change of a bird influences and is influenced by that of birds on the other side of the flock.
Revised:  Yet the spatial correlations of such fluctuations are scale-free, namely they have a range as wide as the entire group : the speed change of a bird influences and is influenced by that of birds on the other side of the flock.
Edit intent: meaning-changed
Original:  Yet the spatial correlations of such fluctuations  have a range as wide as the entire group : the speed change of a bird influences and is influenced by that of birds on the other side of the flock. Long-range correlations and limited speed fluctuations set conflicting constraints on the mechanism controlling the individual speed of each bird, as the factors boosting correlations also tend to amplify speed fluctuations and vice versa.
Revised:  Yet the spatial correlations of such fluctuations have a range as wide as the entire group . Scale-free correlations and limited speed fluctuations set conflicting constraints on the mechanism controlling the individual speed of each bird, as the factors boosting correlations also tend to amplify speed fluctuations and vice versa.
Edit intent: clarity
Original:  Long-range correlations and limited speed fluctuations set conflicting constraints on the mechanism controlling the individual speed of each bird, as the factors boosting correlations also tend to amplify speed fluctuations and vice versa.
Revised:  Long-range correlations and limited fluctuations set conflicting constraints on the mechanism controlling the individual speed of each bird, as the factors boosting correlations also tend to amplify speed fluctuations and vice versa.
Edit intent: fluency
Original:  Long-range correlations and limited speed fluctuations set conflicting constraints on the mechanism controlling the individual speed of each bird, as the factors boosting correlations also tend to amplify speed fluctuations and vice versa.
Revised:  Long-range correlations and limited speed fluctuations set conflicting constraints on the mechanism controlling the speed of each bird, as the factors boosting correlations also tend to amplify speed fluctuations and vice versa.
Edit intent: clarity
Original:  Long-range correlations and limited speed fluctuations set conflicting constraints on the mechanism controlling the individual speed of each bird, as the factors boosting correlations also tend to amplify speed fluctuations and vice versa.
Revised:  Long-range correlations and limited speed fluctuations set conflicting constraints on the mechanism controlling the individual speed of each bird, as the factors boosting correlations tend to amplify speed fluctuations and vice versa.
Edit intent: clarity
Original:  Long-range correlations and limited speed fluctuations set conflicting constraints on the mechanism controlling the individual speed of each bird, as the factors boosting correlations also tend to amplify speed fluctuations and vice versa.
Revised:  Long-range correlations and limited speed fluctuations set conflicting constraints on the mechanism controlling the individual speed of each bird, as the factors boosting correlations also tend to amplify fluctuations, and vice versa.
Edit intent: fluency
Original:  Here, building on experimental field data on starling flocks with group sizes spanning an unprecedented interval of over two orders of magnitude, we develop a novel type of speed control mechanism that generates scale-free correlations yet allowing for biologically plausible values of the flocks' speed. The bare-bones hallmark of this new control is a strongly nonlinear speed-restoring force that ignores small deviations of the individual speed from its natural reference value , while ferociously suppressing larger speed fluctuations.
Revised:  Here, using a field-theoretical approach, we demonstrate that a marginal speed confinement that ignores small deviations of the individual speed from its natural reference value , while ferociously suppressing larger speed fluctuations.
Edit intent: clarity
Original:  The bare-bones hallmark of this new control is a strongly nonlinear speed-restoring force that ignores small deviations of the individual speed from its natural reference value , while ferociously suppressing larger speed fluctuations.
Revised:  The bare-bones hallmark of this new control is a strongly nonlinear speed-restoring force that ignores small deviations from the natural reference value , while ferociously suppressing larger speed fluctuations.
Edit intent: clarity
Original:  The bare-bones hallmark of this new control is a strongly nonlinear speed-restoring force that ignores small deviations of the individual speed from its natural reference value , while ferociously suppressing larger speed fluctuations.
Revised:  The bare-bones hallmark of this new control is a strongly nonlinear speed-restoring force that ignores small deviations of the individual speed from its natural reference value while ferociously suppressing larger speed fluctuations.
Edit intent: fluency
Original:  The bare-bones hallmark of this new control is a strongly nonlinear speed-restoring force that ignores small deviations of the individual speed from its natural reference value , while ferociously suppressing larger speed fluctuations. Numerical simulations of self-propelled particles flocks in the same size range as the empirical data fully support our theoretical results .
Revised:  The bare-bones hallmark of this new control is a strongly nonlinear speed-restoring force that ignores small deviations of the individual speed from its natural reference value , while ferociously suppressing larger fluctuations, is the only mechanism reconciling scale-free correlations with biologically acceptable flocks' speed, a result that we confirm through numerical simulations on self-propelled particles flocks in the same size range as the empirical data fully support our theoretical results .
Edit intent: meaning-changed
Original:  Numerical simulations of self-propelled particles flocks in the same size range as the empirical data fully support our theoretical results . The match of field empirical data , theory and simulations over such an extensive range of sizes suggests that the novel speed control we propose is the most economic theoretical mechanism able to reproduce all key experimental traits of real flocks .
Revised:  Numerical simulations of self-propelled particles in three dimensions. We validate the theoretical as well as the numerical predictions of this analysis by comparing our results with field experimental data on starling flocks having group sizes spanning an unprecedented interval of over two orders of magnitude .
Edit intent: clarity
Original:  We set up a series of predictive exercises , in which users are described using several posting activity features capturing their overall activity levels, their posting success, the reactions their posts attract from users of different stances, and the types of discussions in which they engage.
Revised:  We set up a series of predictive exercises based on machine learning models. Users are described using several posting activity features capturing their overall activity levels, their posting success, the reactions their posts attract from users of different stances, and the types of discussions in which they engage.
Edit intent: meaning-changed
Original:  We set up a series of predictive exercises , in which users are described using several posting activity features capturing their overall activity levels, their posting success, the reactions their posts attract from users of different stances, and the types of discussions in which they engage.
Revised:  We set up a series of predictive exercises , in which users are described using several posting activities features capturing their overall activity levels, their posting success, the reactions their posts attract from users of different stances, and the types of discussions in which they engage.
Edit intent: fluency
Original:  We set up a series of predictive exercises , in which users are described using several posting activity features capturing their overall activity levels, their posting success, the reactions their posts attract from users of different stances, and the types of discussions in which they engage.
Revised:  We set up a series of predictive exercises , in which users are described using several posting activity features capturing their overall activity levels, posting success, the reactions their posts attract from users of different stances, and the types of discussions in which they engage.
Edit intent: fluency
Original:  The construction is based on a discretisation of the differential equation. Furthermore, we revisit the dynamics of the linkage equilibria between two neutral loci hitchhiking along with a selected one , and the dependence on the position of the selected site.
Revised:  The construction is based on a discretisation of the selection-recombination equation. We apply our method to systematically explain a long-standing observation concerning the dynamics of the linkage equilibria between two neutral loci hitchhiking along with a selected one , and the dependence on the position of the selected site.
Edit intent: meaning-changed
Original:  Furthermore, we revisit the dynamics of the linkage equilibria between two neutral loci hitchhiking along with a selected one , and the dependence on the position of the selected site.
Revised:  Furthermore, we revisit the dynamics of the linkage equilibria between two neutral loci hitchhiking along with a selected one . In particular, this clarifies the nontrivial dependence on the position of the selected site.
Edit intent: meaning-changed
Original:  This paper reviews techno-economic storage valuation methods and expands them by the new " market potential method " which derives a system-value by examining the capacities obtained from a long-term investment planning optimisation .
Revised:  This paper reviews techno-economic storage valuation methods and expands them by the introduced market potential method " which derives a system-value by examining the capacities obtained from a long-term investment planning optimisation .
Edit intent: clarity
Original:  This paper reviews techno-economic storage valuation methods and expands them by the new " market potential method " which derives a system-value by examining the capacities obtained from a long-term investment planning optimisation .
Revised:  This paper reviews techno-economic storage valuation methods and expands them by the new " market potential method . The market potential method derives the value of technologies by examining common deployment signals from energy system model outputs in a structured way .
Edit intent: meaning-changed
Original:  Estimating the impact of changing one component of those systems on an important outcome such as revenue is crucial, yet very challenging. It is indeed the difference between the generated value and the value that would have been generated keeping business as usual, which is not observable.
Revised:  While improving the different components of these systems has been the focus of numerous studies, estimating the impact of such improvements on the revenue has been overlooked in the literature despite its practical importance. Indeed, quantifying the benefit of a change in a system serves as support for investment decisions. This is a challenging problem as it corresponds to the difference between the generated value and the value that would have been generated keeping business as usual, which is not observable.
Edit intent: coherence
Original:  We provide a comprehensive overview of counterfactual prediction models and use them in an extensive computational study based on data from Air Canada to estimate such impact . We focus on predicting the counterfactual revenue and compare it to the observed revenue subject to the impact. Our microeconomic application and small expected treatment impact stand out from the usual synthetic control applications. We present accurate linear and deep-learning counterfactual prediction modelswhich achieve respectively 1.1\% and 1 \% of error  and allow to estimate a simulated effect quite accurately .
Revised:  Moreover, the expected impact can be small in relative value. In this paper, we cast the problem as counterfactual prediction of unobserved revenue. The impact on revenue is then the difference between the observed and the estimated revenue. The originality of this work lies in the innovative application of econometric methods proposed for macroeconomic applications to a new problem setting. Broadly applicable, the approach benefits from only requiring revenue data observed for origin-destination pairs in the network of the airline at each day, before and after a change in the system is applied. We report results using real large-scale data from Air Canada. We compare a deep neural network counterfactual predictions model with econometric models. They achieve respectively 1\% and 1.1 \% of error and allow to estimate a simulated effect quite accurately .
Edit intent: meaning-changed
Original:  We present accurate linear and deep-learning counterfactual prediction modelswhich achieve respectively 1.1\% and 1 \% of error  and allow to estimate a simulated effect quite accurately .
Revised:  We present accurate linear and deep-learning counterfactual prediction modelswhich achieve respectively 1.1\% and 1 \% of error on the counterfactual revenue predictions, and allow to estimate a simulated effect quite accurately .
Edit intent: meaning-changed
Original:  We present accurate linear and deep-learning counterfactual prediction modelswhich achieve respectively 1.1\% and 1 \% of error  and allow to estimate a simulated effect quite accurately .
Revised:  We present accurate linear and deep-learning counterfactual prediction modelswhich achieve respectively 1.1\% and 1 \% of error and allow to accurately estimate small impacts (in the order of 2\%) .
Edit intent: meaning-changed
Original:  \mu \in P \} associated with the parameter domain P \subset R^P and the parametric field \mu \mapsto u_{\mu} \in L^2(\Omega), our approach takes as input a set of snapshots \{ u^k \}_{k=1}^{n_{\rm train}} \subset M and returns a parameter-dependent bijective mapping \Phi : \Omega \times P \to R^2: the mapping is designed to make the mapped manifold \{ u_{\mu} \circ \Phi _{\mu}: \, \mu \in P \} more amenable for linear compression methods.
Revised:  \mu \in P \} associated with the parameter domain P \subset R^P and the parametric field \mu \mapsto u_{\mu} \in L^2(\Omega), our approach takes as input a set of snapshots \{ u^k \}_{k=1}^{n_{\rm train}} \subset M and returns a parameter-dependent bijective mapping \Phi : \Omega \times P \to R^2: the mapping is designed to make the mapped manifold \{ u_{\mu} \circ \Phi _{\mu}: \, \mu \in P \} more amenable for linear compression methods.
Edit intent: fluency