wanyu/IteraTeR_full_sent huggingface dataset:
Original:  Trading volume authenticates its corresponding price, so there is mutual information and entanglement between price and volume. On the other hand, we are curious about scaling features of this entanglement and need to know how structures in different scales translate information.
Revised:  Trading volume authenticates its corresponding price, so there is mutual information and entanglement between price and trading volume. We are curious about scaling features of this entanglement and need to know how structures in different scales translate information.
Edit intent: clarity
Original:  Investment size ( volume), price-wise expectations (gain/loss), and time-wise expectations ( time-scale ) differ from one investor to another. This study, by applying the MF-DXA method , demonstrates that priceand trading volume and their coupling contain power law information and are multifractal in the markets we investigated.
Revised:  Investment size ( volume), price-wise expectations (gain/loss), and time-wise expectations ( time-scale effects, we analyzed the price and trading volume and their coupling by applying the MF-DXA method , demonstrates that priceand trading volume and their coupling contain power law information and are multifractal in the markets we investigated.
Edit intent: meaning-changed
Original:  This study, by applying the MF-DXA method , demonstrates that priceand trading volume and their coupling contain power law information and are multifractal in the markets we investigated.
Revised:  This study, by applying the MF-DXA method . Our results imply that price, trading volume, and price-volume coupling exhibit a power law and their coupling contain power law information and are multifractal in the markets we investigated.
Edit intent: clarity
Original:  This study, by applying the MF-DXA method , demonstrates that priceand trading volume and their coupling contain power law information and are multifractal in the markets we investigated. Also, the resultant correlation coefficients present scaling behaviors which are totally significant in the investigated time-scales and they decrease with increasing time-scales . Meanwhile, considering developed markets, the price-volume coupling is more dominated by trading volume rather than price.
Revised:  This study, by applying the MF-DXA method , demonstrates that priceand trading volume and are also multifractal . Meanwhile, considering developed markets, the price-volume coupling is more dominated by trading volume rather than price.
Edit intent: clarity
Original:  Also, the resultant correlation coefficients present scaling behaviors which are totally significant in the investigated time-scales and they decrease with increasing time-scales . Meanwhile, considering developed markets, the price-volume coupling is more dominated by trading volume rather than price. This domination increases price validity. We can confirm that in a developed market, traders, with a certain price , are more rational and show their enthusiasm to price by applying trading volume. This approach for emerging markets is weak. As a whole, in emerging markets, market behavior is guided by a phenomenon other than volume .
Revised:  Also, the resultant correlation coefficients present scaling behaviors which are totally significant in the investigated time-scales and they decrease with increasing time-scales . Meanwhile, considering developed markets, the price-volume couplings are significantly negatively correlated. However, in emerging markets, market behavior is guided by a phenomenon other than volume .
Edit intent: meaning-changed
Original:  We show that for any k \geq 0, the class of B_k-CPG graphs is strictly contained in the class of B_{k+1}-CPG graphs even within the class of planar graphs, thus implying that there exists no k \geq 0 such that every planar CPG graph is B_k-CPG. -hard forB_k-CPG with k=1,2, and for planar B_k-CPG with k \geq 3. } Additionally, we examine the computational complexity of several graph problems restricted to CPG graphs.
Revised:  We show that for any k \geq 0, the class of B_k-CPG graphs is strictly contained in the class of B_{k+1}-CPG graphs even within the class of planar graphs, thus implying that there exists no k \geq 0 such that every planar CPG graph is B_k-CPG. We further show that Recognition is \mathsf{NP-hard forB_k-CPG with k=1,2, and for planar B_k-CPG with k \geq 3. } Additionally, we examine the computational complexity of several graph problems restricted to CPG graphs.
Edit intent: meaning-changed
Original:  We show that for any k \geq 0, the class of B_k-CPG graphs is strictly contained in the class of B_{k+1}-CPG graphs even within the class of planar graphs, thus implying that there exists no k \geq 0 such that every planar CPG graph is B_k-CPG.
Revised:  We first show that, for any k \geq 0, the class of B_k-CPG graphs is strictly contained in the class of B_{k+1}-CPG graphs even within the class of planar graphs, thus implying that there exists no k \geq 0 such that every planar CPG graph is B_k-CPG.
Edit intent: coherence
Original:  Moreover, we show that the same remains true even within the class of planar graphs in the case k \geq } 3. Additionally, we examine the computational complexity of several graph problems restricted to CPG graphs . In particular, we show that Independent Set and Clique Cover remain NP-hard for B_0-CPG graphs.
Revised:  Moreover, we show that the same remains true even within the class of planar graphs in the case k \geq } 3. Additionally, we examine the computational complexity of several graph problems restricted to CPG graphs and show, in particular, that Independent Set and Clique Cover remain NP-hard for B_0-CPG graphs.
Edit intent: coherence
Original: We study experimental design in large-scale stochastic systems with substantial uncertainty and structured cross-unit interference .
Revised: Classical approaches to experimental design assume that intervening on one unit does not affect other units. Recently, however, there has been considerable interest in settings where this non-interference assumption does not hold, e.g., when running experiments on supply-side incentives on a ride-sharing platform or subsidies in an energy marketplace. In this paper, we introduce a new approach to experimental design in large-scale stochastic systems with substantial uncertainty and structured cross-unit interference .
Edit intent: meaning-changed
Original: We study experimental design in large-scale stochastic systems with substantial uncertainty and structured cross-unit interference . We consider the problem of a platform that seeks to optimize supply-side payments p in a centralized marketplace where different suppliers interact via their effects on the overall supply-demand equilibrium, and propose a class of local experimentation schemes that can be used to optimize these payments without perturbing the overall market equilibrium.
Revised: We study experimental design in large-scale stochastic systems with substantial uncertainty and structured cross-unit interference , under an assumption that the interference is structured enough that it can be captured using mean-field asymptotics. Our approach enables us to accurately estimate the effect of small changes to system parameters by combining unobstrusive randomization with light-weight modeling, all while remaining in equilibrium. We can then use these estimates to optimize the system by gradient descent. Concretely, we focus on the problem of a platform that seeks to optimize supply-side payments p in a centralized marketplace where different suppliers interact via their effects on the overall supply-demand equilibrium, and propose a class of local experimentation schemes that can be used to optimize these payments without perturbing the overall market equilibrium.
Edit intent: meaning-changed
Original:  We consider the problem of a platform that seeks to optimize supply-side payments p in a centralized marketplace where different suppliers interact via their effects on the overall supply-demand equilibrium, and propose a class of local experimentation schemes that can be used to optimize these payments without perturbing the overall market equilibrium. We show that , as the system size grows, our scheme can estimate the gradient of the platform 's utility with respect to p while perturbing the overall market equilibrium by only a vanishingly small amount. We can then use these gradient estimates to optimize p via any stochastic first-order optimization method. These results stem from the insight that, while the system involves a large number of interacting units, any interference can only be channeled through a small number of key statistics, and this structure allows us to accurately predict feedback effects that arise from global system changes using only information collected while remaining in equilibrium .
Revised:  We consider the problem of a platform that seeks to optimize supply-side payments p in a centralized marketplace where different suppliers interact via their effects on the overall supply-demand equilibrium, and show that our approach enables the platform to optimize p based on perturbations whose magnitude can get vanishingly small in large systems .
Edit intent: clarity
Original:  Recently , however, there has been considerable interest in settings where this non-interference assumption does not hold, e.g., when running experiments on supply-side incentives on a ride-sharing platform or subsidies in an energy marketplace.
Revised:  There are many important settings , however, there has been considerable interest in settings where this non-interference assumption does not hold, e.g., when running experiments on supply-side incentives on a ride-sharing platform or subsidies in an energy marketplace.
Edit intent: meaning-changed
Original:  Recently , however, there has been considerable interest in settings where this non-interference assumption does not hold, e.g., when running experiments on supply-side incentives on a ride-sharing platform or subsidies in an energy marketplace.
Revised:  Recently , however, where this non-interference assumption does not hold, e.g., when running experiments on supply-side incentives on a ride-sharing platform or subsidies in an energy marketplace.
Edit intent: clarity
Original:  There are many important settings, however, where this non-interference assumption does not hold, e.g., when running experiments on supply-side incentives on a ride-sharing platform or subsidies in an energy marketplace.
Revised:  There are many important settings, however, where this non-interference assumption does not hold, as when running experiments on supply-side incentives on a ride-sharing platform or subsidies in an energy marketplace.
Edit intent: coherence
Original:  In this paper, we introduce a new approach to experimental design in large-scale stochastic systems with considerable cross-unit interference, under an assumption that the interference is structured enough that it can be captured using mean-field asymptotics .
Revised:  In this paper, we introduce a new approach to experimental design in large-scale stochastic systems with considerable cross-unit interference, under an assumption that the interference is structured enough that it can be captured via mean-field asymptotics .
Edit intent: fluency
Original:  In this paper, we introduce a new approach to experimental design in large-scale stochastic systems with considerable cross-unit interference, under an assumption that the interference is structured enough that it can be captured using mean-field asymptotics .
Revised:  In this paper, we introduce a new approach to experimental design in large-scale stochastic systems with considerable cross-unit interference, under an assumption that the interference is structured enough that it can be captured using mean-field modeling .
Edit intent: clarity
Original:  Concretely, we focus on the problem of a platform that seeks to optimize supply-side payments p in a centralized marketplace where different suppliers interact via their effects on the overall supply-demand equilibrium, and show that our approach enables the platform to optimize p based on perturbations whose magnitude can get vanishingly small in large systems  .
Revised:  Concretely, we focus on the problem of a platform that seeks to optimize supply-side payments p in a centralized marketplace where different suppliers interact via their effects on the overall supply-demand equilibrium, and show that our approach enables the platform to optimize p in large systems .
Edit intent: meaning-changed
Original:  Concretely, we focus on the problem of a platform that seeks to optimize supply-side payments p in a centralized marketplace where different suppliers interact via their effects on the overall supply-demand equilibrium, and show that our approach enables the platform to optimize p based on perturbations whose magnitude can get vanishingly small in large systems  .
Revised:  Concretely, we focus on the problem of a platform that seeks to optimize supply-side payments p in a centralized marketplace where different suppliers interact via their effects on the overall supply-demand equilibrium, and show that our approach enables the platform to optimize p based on perturbations whose magnitude can get vanishingly small in large systems using vanishingly small perturbations .
Edit intent: clarity
Original:  A noncrossing blocking pair of a matching M is a pair (m,w) of a man and a woman such that they are not matched with each other but prefer each other to their own partners in M, and the segment (m,w) does not cross any edge in M. A weakly stable noncrossing matching (WSNM) is a noncrossing matching that does not contain any noncrossing blocking pair.
Revised:  A noncrossing blocking pair w.r.t. a matching M is a pair (m,w) of a man and a woman such that they are not matched with each other but prefer each other to their own partners in M, and the segment (m,w) does not cross any edge in M. A weakly stable noncrossing matching (WSNM) is a noncrossing matching that does not contain any noncrossing blocking pair.
Edit intent: clarity
Original:  A noncrossing blocking pair of a matching M is a pair (m,w) of a man and a woman such that they are not matched with each other but prefer each other to their own partners in M, and the segment (m,w) does not cross any edge in M. A weakly stable noncrossing matching (WSNM) is a noncrossing matching that does not contain any noncrossing blocking pair.
Revised:  A noncrossing blocking pair of a matching M is a pair (m,w) of a man and a woman such that they are not matched with each other but prefer each other to their own partners in M, and the segment (m,w) does not cross any edge in M. A weakly stable noncrossing matching (WSNM) is a noncrossing matching that does not admit any noncrossing blocking pair.
Edit intent: clarity
Original:  A key contribution is that the overall aggregated trading strategies are tested for statistical arbitrage using a novel hypothesis test proposed by Jarrow et al.  on both daily sampled and intraday time-scales.
Revised:  A key contribution is that the overall aggregated trading strategies are tested for statistical arbitrage using a novel hypothesis test proposed by Jarrow et al. (2012) on both daily sampled and intraday time-scales.
Edit intent: meaning-changed
Original:  In addition, the algorithms generalisation error is analysed by recovering a probability of back-test overfitting estimate using a nonparametric procedure introduced by Bailey et al.  . The work aims to explore and better understand the interplay between different technical trading strategies from a data-informed perspective.
Revised:  In addition, the algorithms generalisation error is analysed by recovering a probability of back-test overfitting estimate using a nonparametric procedure introduced by Bailey et al. (2016) . The work aims to explore and better understand the interplay between different technical trading strategies from a data-informed perspective.
Edit intent: meaning-changed
Original: The epidemiological contribution of crop residues as a source of inoculum for fungal diseases on plants, especially in cereal cropping systems, is well established. However, microbial ecologists have long reported positive effects of crop residues on the stability and productivity of several agrosystems. For this reason, no-till practices have become increasingly widespread, leading to the expression of trade-offs, or even incompatibilities, between different agro-ecological challenges. In this context , we propose a literature-based reflection on how to bridge the gap between 'crop debris management' and 'enhancing the action of microbes as direct or indirect biological control agents'. Most studies focusing on the microbiota have suggested that microbial communities should be taken into account in plant disease management, but we still know much less about their ecological interaction with pathogensin the crop residue compartment than in the phyllosphere or rhizosphere. In this review, we provide an overview of what is currently known about the impact of residues on plant disease epidemics and describe how microbial interactions on these residues could be exploited to develop innovative crop protection strategies . Starting from the classical view of residues as a source of  inoculum, we  considered possibilities for the quantitative management of residues in crop protection.
Revised: This review focuses on microbiomes associated with residues within the context of other microbial habitats in cereal-producing agroecosystems such as phyllosphere or rhizosphere. We connected residue microbiome with the survival of residue-borne fungal plant pathogens, thus combining knowledge in microbial ecology and epidemiology, two disciplines still not sufficiently connected. We provide an overview of what is currently known about the impact of residues on plant disease epidemics and describe how microbial interactions on these residues could be exploited to develop innovative crop protection strategies . Starting from the classical view of residues as a source of inoculum, we considered possibilities for the quantitative management of residues in crop protection.
Edit intent: coherence
Original:  In this review, we provide an overview of what is currently known about the impact of residues on plant disease epidemics and describe how microbial interactions on these residues could be exploited to develop innovative crop protection strategies . Starting from the classical view of residues as a source of  inoculum, we  considered possibilities for the quantitative management of residues in crop protection.
Revised:  In this review, we provide an overview of the impact of residues on plant disease epidemics and describe how microbial interactions on these residues could be exploited to develop innovative crop protection strategies . Starting from the classical view of residues as a source of inoculum, we considered possibilities for the quantitative management of residues in crop protection.
Edit intent: clarity
Original:  In this review, we provide an overview of what is currently known about the impact of residues on plant disease epidemics and describe how microbial interactions on these residues could be exploited to develop innovative crop protection strategies . Starting from the classical view of residues as a source of  inoculum, we  considered possibilities for the quantitative management of residues in crop protection.
Revised:  In this review, we provide an overview of what is currently known about the impact of residues on cereal disease epidemics and describe how microbial interactions on these residues could be exploited to develop innovative crop protection strategies . Starting from the classical view of residues as a source of inoculum, we considered possibilities for the quantitative management of residues in crop protection.
Edit intent: meaning-changed
Original:  In this review, we provide an overview of what is currently known about the impact of residues on plant disease epidemics and describe how microbial interactions on these residues could be exploited to develop innovative crop protection strategies . Starting from the classical view of residues as a source of  inoculum, we  considered possibilities for the quantitative management of residues in crop protection.
Revised:  In this review, we provide an overview of what is currently known about the impact of residues on plant disease epidemics and how dynamic interactions between microbial communities of non-buried residues during their degradation, along with soil and multitude of abiotic factors, can contribute to innovative disease management strategies, including next-generation microbiome-based biocontrol strategies . Starting from the classical view of residues as a source of inoculum, we considered possibilities for the quantitative management of residues in crop protection.
Edit intent: meaning-changed
Original:  In this review, we provide an overview of what is currently known about the impact of residues on plant disease epidemics and describe how microbial interactions on these residues could be exploited to develop innovative crop protection strategies . Starting from the classical view of residues as a source of  inoculum, we  considered possibilities for the quantitative management of residues in crop protection.
Revised:  In this review, we provide an overview of what is currently known about the impact of residues on plant disease epidemics and describe how microbial interactions on these residues could be exploited to develop innovative crop protection strategies . Starting from the classical but still relevant view of crop residues as a source of inoculum, we considered possibilities for the quantitative management of residues in crop protection.
Edit intent: meaning-changed
Original:  In this review, we provide an overview of what is currently known about the impact of residues on plant disease epidemics and describe how microbial interactions on these residues could be exploited to develop innovative crop protection strategies . Starting from the classical view of residues as a source of  inoculum, we  considered possibilities for the quantitative management of residues in crop protection.
Revised:  In this review, we provide an overview of what is currently known about the impact of residues on plant disease epidemics and describe how microbial interactions on these residues could be exploited to develop innovative crop protection strategies . Starting from the classical view of residues as a source of pathogen inoculum, we considered possibilities for the quantitative management of residues in crop protection.
Edit intent: meaning-changed
Original:  In this review, we provide an overview of what is currently known about the impact of residues on plant disease epidemics and describe how microbial interactions on these residues could be exploited to develop innovative crop protection strategies . Starting from the classical view of residues as a source of  inoculum, we  considered possibilities for the quantitative management of residues in crop protection.
Revised:  In this review, we provide an overview of what is currently known about the impact of residues on plant disease epidemics and describe how microbial interactions on these residues could be exploited to develop innovative crop protection strategies . Starting from the classical view of residues as a source of inoculum, we first considered possibilities for the quantitative management of residues in crop protection.
Edit intent: coherence