wanyu/IteraTeR_full_sent huggingface dataset:
Original:  Moreover, because graphlets can deal only with unweighted PSNs, and because accounting for edge weights when constructing PSNs could improve PSC accuracy, we also propose a deep learning framework that automatically learns network features from the weighted PSNs. When evaluated on a large set of ~9,400 CATH and ~12,800 SCOP protein domains (spanning 36 PSN sets), our proposed approaches are superior to existing PSC approaches in terms of accuracy, with comparable running time.
Revised:  Moreover, because graphlets can deal only with unweighted PSNs, and because accounting for edge weights when constructing PSNs could improve PSC accuracy, we also propose a deep learning framework that automatically learns network features from weighted PSNs. When evaluated on a large set of ~9,400 CATH and ~12,800 SCOP protein domains (spanning 36 PSN sets), our proposed approaches are superior to existing PSC approaches in terms of accuracy, with comparable running time.
Edit intent: coherence
Original:   In this paper we propose EMPIOT, an accurate, low-cost, easy to build, and flexible , power measurement platform.
Revised:  Due to the large size and high cost of commercial energy measurement platforms, alternative solutions have been proposed by the research community. However, the three main shortcomings of existing tools are complexity, limited measurement range, and low accuracy. Specifically, these tools are not suitable for the energy measurement of new IoT devices such as those supporting the 802.11 technology. In this paper we propose EMPIOT, an accurate, low-cost, easy to build, and flexible , power measurement platform.
Edit intent: meaning-changed
Original:  The surplus dynamics obeys a linearly controlled drifted Brownian motion that is reflected at zero , dividends give rise to time-dependent instantaneous marginal profits, whereas capital injections are subject to time-dependent instantaneous marginal costs.
Revised:  The surplus dynamics obeys a linearly controlled drifted Brownian motion that is reflected at the origin , dividends give rise to time-dependent instantaneous marginal profits, whereas capital injections are subject to time-dependent instantaneous marginal costs.
Edit intent: clarity
Original:  Inspired by the study in \mbox{%DIFAUXCMD EKK1989 on reflected follower problems, we relate the optimal dividend problem with capital injections to an optimal stopping problem for a drifted Brownian motion that is absorbed at zero .
Revised:  Inspired by the study of El Karoui and Karatzas (1989) on reflected follower problems, we relate the optimal dividend problem with capital injections to an optimal stopping problem for a drifted Brownian motion that is absorbed at zero .
Edit intent: meaning-changed
Original:  Inspired by the study in \mbox{%DIFAUXCMD EKK1989 on reflected follower problems, we relate the optimal dividend problem with capital injections to an optimal stopping problem for a drifted Brownian motion that is absorbed at zero .
Revised:  Inspired by the study in \mbox{%DIFAUXCMD EKK1989 on reflected follower problems, we relate the optimal dividend problem with capital injections to an optimal stopping problem for a drifted Brownian motion that is absorbed at the origin .
Edit intent: meaning-changed
Original:  First, employing a carefully crafted coupling approach , we develop uniform distributional approximations for  t-statistic processes (indexed over the support of the conditioning variables).
Revised:  First, we obtain a general characterization of their leading asymptotic bias. Second, we establish integrated mean squared error approximations for the point estimator and develop feasible tuning parameter selection. Third, we develop pointwise inference methods based on undersmoothing and robust bias correction. Fourth, employing different coupling approaches , we develop uniform distributional approximations for t-statistic processes (indexed over the support of the conditioning variables).
Edit intent: meaning-changed
Original:  First, employing a carefully crafted coupling approach , we develop uniform distributional approximations for  t-statistic processes (indexed over the support of the conditioning variables). These results cover both undersmoothed and bias corrected inference, require seemingly minimal rate restrictions , and achieve fast approximation rates . Using the uniform approximations we construct valid confidence bands which share these same advantages.
Revised:  First, employing a carefully crafted coupling approach , we develop uniform distributional approximations for t-statistic processes and construct valid confidence bands. In the univariate case, our uniform distributional approximations require seemingly minimal rate restrictions , and achieve fast approximation rates . Using the uniform approximations we construct valid confidence bands which share these same advantages.
Edit intent: meaning-changed
Original:  These results cover both undersmoothed and bias corrected inference, require seemingly minimal rate restrictions , and achieve fast approximation rates . Using the uniform approximations we construct valid confidence bands which share these same advantages. While our coupling approach exploits specific features of the estimators considered, the underlying ideas may be useful in other contexts more generally. Second, we obtain valid integrated mean square error approximations for partitioning-based estimators and develop feasible tuning parameter selection. We apply our general results to three popular partition-based estimators: splines, wavelets, and piecewise polynomials (generalizing the regressogram) .
Revised:  These results cover both undersmoothed and bias corrected inference, require seemingly minimal rate restrictions and improve on approximation rates known in the literature. Finally, we apply our general results to three popular partition-based estimators: splines, wavelets, and piecewise polynomials (generalizing the regressogram) .
Edit intent: clarity
Original:  The theory is used to calculate the changes in R_g on N, the number of residues for a set of Intrinsically Disordered Proteins (IDPs).
Revised:  Simulations of PA chains, using a charged bead-spring model, further corroborates our theoretical predictions. The simulations unambiguously show that conformational heterogeneity manifests itself among sequences that have identical PA parameters. A clear implication is that the phases of PA sequences, and by inference IDPs, cannot be determined using only the bare PA parameters (\sigma and \delta \sigma). The theory is used to calculate the changes in R_g on N, the number of residues for a set of Intrinsically Disordered Proteins (IDPs).
Edit intent: meaning-changed
Original:  For a certain class of IDPs, with N between 24 to 185 , the size grows as R_g \sim N^{0.6}, which agrees with data from Small Angle X-ray Scattering (SAXS) experiments .
Revised:  For a certain class of IDPs, with N between 24 to 441 , the size grows as R_g \sim N^{0.6}, which agrees with data from Small Angle X-ray Scattering (SAXS) experiments .
Edit intent: meaning-changed
Original:  For a certain class of IDPs, with N between 24 to 185 , the size grows as R_g \sim N^{0.6}, which agrees with data from Small Angle X-ray Scattering (SAXS) experiments . The theory also describes quantitatively the R_g measured using SAXS experiments for the wild type Tau proteins and fragments derived from it. In this case we find that R_g \sim N^{0.5.
Revised:  For a certain class of IDPs, with N between 24 to 185 , the size grows as R_g \sim N^{0.6}, which agrees with data from Small Angle X-ray Scattering (SAXS) experiments .
Edit intent: coherence
Original: In this study, we provide a detailed global topological analysis on the Chinese guarantee network and highlight the effect of financial crisis and monetary policies on the evolution of network topologies. On the one hand, the static and dynamic analyses on network indicators confirm a number of stylized facts that are verified for other real complex systems.
Revised: Examining the topological properties of networks formed by such guarantee relationships is critical for an in-depth understanding and effective regulations of the static and dynamic analyses on network indicators confirm a number of stylized facts that are verified for other real complex systems.
Edit intent: clarity
Original:  On the one hand, the static and dynamic analyses on network indicators confirm a number of stylized facts that are verified for other real complex systems. Guarantee networks are highly sparse, incomplete, and exhibit a small world property and a power-law degree distribution.
Revised:  On the one hand, the financial system. In this research, we analyzed the structure and evolution of the Chinese guarantee network with real-world data from 2007 to 2012. We identified the scale-free and power-law degree distribution.
Edit intent: meaning-changed
Original:  Guarantee networks are highly sparse, incomplete, and exhibit a small world property and a power-law degree distribution. On the other hand, we present data-driven insights on the association of the topological structure of guarantee networks with economic shock (the 2008 global financial crisis ) and monetary policies (i.e., Chinese economic stimulus program and loose monetary policies and latter adjustment).
Revised:  Guarantee networks are highly sparse, incomplete, and exhibit a small world property and a power-law properties of the guarantee network and found the global financial crisis ) and monetary policies (i.e., Chinese economic stimulus program and loose monetary policies and latter adjustment).
Edit intent: clarity
Original:  On the other hand, we present data-driven insights on the association of the topological structure of guarantee networks with economic shock (the 2008 global financial crisis ) and monetary policies (i.e., Chinese economic stimulus program and loose monetary policies and latter adjustment).
Revised:  On the other hand, we present data-driven insights on the association of the topological structure of guarantee networks with economic shock (the 2008 global financial crisis and follow-up economic stimulus program and loose monetary policies and latter adjustment).
Edit intent: meaning-changed
Original:  On the other hand, we present data-driven insights on the association of the topological structure of guarantee networks with economic shock (the 2008 global financial crisis ) and monetary policies (i.e., Chinese economic stimulus program and loose monetary policies and latter adjustment). Specifically, the empirical and exponential random graph model results provided that (a) the guarantee network became small due to the huge number of bankruptcies of small and medium firms during financial crisis, and (b) the loose monetary policy along with the stimulus programincreased the mutual guarantee behavior among firms that resulted in a highly reciprocal and interconnected network.
Revised:  On the other hand, we present data-driven insights on the association of the topological structure of guarantee networks with economic shock (the 2008 global financial crisis ) and monetary policies (i.e., Chinese economic stimulus program had a significant influence on the evolution of the guarantee network. In particular, both the growth and connectivity of the empirical and exponential random graph model results provided that (a) the guarantee network became small due to the huge number of bankruptcies of small and medium firms during financial crisis, and (b) the loose monetary policy along with the stimulus programincreased the mutual guarantee behavior among firms that resulted in a highly reciprocal and interconnected network.
Edit intent: meaning-changed
Original:  Specifically, the empirical and exponential random graph model results provided that (a) the guarantee network became small due to the huge number of bankruptcies of small and medium firms during financial crisis, and (b) the loose monetary policy along with the stimulus programincreased the mutual guarantee behavior among firms that resulted in a highly reciprocal and interconnected network.
Revised:  Specifically, the guarantee network became small due to the huge number of bankruptcies of small and medium firms during financial crisis, and (b) the loose monetary policy along with the stimulus programincreased the mutual guarantee behavior among firms that resulted in a highly reciprocal and interconnected network.
Edit intent: coherence
Original:  Specifically, the empirical and exponential random graph model results provided that (a) the guarantee network became small due to the huge number of bankruptcies of small and medium firms during financial crisis, and (b) the loose monetary policy along with the stimulus programincreased the mutual guarantee behavior among firms that resulted in a highly reciprocal and interconnected network.
Revised:  Specifically, the empirical and exponential random graph model results provided that (a) the guarantee network was diminished by the 2008 financial crisis, and (b) the loose monetary policy along with the stimulus programincreased the mutual guarantee behavior among firms that resulted in a highly reciprocal and interconnected network.
Edit intent: meaning-changed
Original:  Specifically, the empirical and exponential random graph model results provided that (a) the guarantee network became small due to the huge number of bankruptcies of small and medium firms during financial crisis, and (b) the loose monetary policy along with the stimulus programincreased the mutual guarantee behavior among firms that resulted in a highly reciprocal and interconnected network. The following adjustment of monetary policies reduced the interconnection of the network .
Revised:  Specifically, the empirical and exponential random graph model results provided that (a) the guarantee network became small due to the huge number of bankruptcies of small and medium firms during financial crisis, and enhanced by the following stimulus program. This research presents data-driven insights on how the topological structure of the guarantee network is associated with economic policies .
Edit intent: clarity
Original: Examining the topological properties of networks formed by such guarantee relationships is critical for an in-depth understanding and effective regulations of the financial system. In this research, we analyzed the structure and evolution of the Chinese guarantee network with real-world data from 2007 to 2012.
Revised: Our knowledge about the evolution of guarantee network in downturn period is limited due to the lack of comprehensive data of the whole credit system. Here we analyze the dynamic Chinese guarantee network with real-world data from 2007 to 2012.
Edit intent: meaning-changed
Original:  We identified the scale-free and power-law properties of the guarantee network and found the global financial crisis and follow-up economic stimulus program had a significant influence on the evolution of the guarantee network.
Revised:  The results show that, first, during the 2007-2008 global financial crisis, the guarantee network and found the global financial crisis and follow-up economic stimulus program had a significant influence on the evolution of the guarantee network.
Edit intent: meaning-changed
Original:  We identified the scale-free and power-law properties of the guarantee network and found the global financial crisis and follow-up economic stimulus program had a significant influence on the evolution of the guarantee network. In particular, both the growth and connectivity of the guarantee network was diminished by the 2008 financial crisis , and enhanced by the following stimulus program.
Revised:  We identified the scale-free and power-law properties of the guarantee network became smaller, less connected and more stable because of many bankruptcies; second, the stimulus program encouraged mutual guarantee behaviors, resulting in highly reciprocal and fragile network structure; third, the following monetary policy adjustment enhanced the resilience of the guarantee network was diminished by the 2008 financial crisis , and enhanced by the following stimulus program.
Edit intent: meaning-changed
Original:  In particular, both the growth and connectivity of the guarantee network was diminished by the 2008 financial crisis , and enhanced by the following stimulus program. This research presents data-driven insights on how the topological structure of the guarantee network is associated with economic policies .
Revised:  In particular, both the growth and connectivity of the guarantee network by reducing mutual guarantees. Interestingly, our work reveals that the financial crisis made the network more resilient, and conversely, the government bailout degenerated network resilience. These counterintuitive findings can provide new insight into the resilience of real-world credit system under external shocks or rescues .
Edit intent: meaning-changed
Original: A meticulous assessment of the risk of extreme environmental events is of great necessity for populations, civil authorities as well as the insurance /reinsurance industry. Koch (2017, 2018) introduced a concept of spatial risk measure and a related set of axioms which are well-suited to analyse and quantify the risk due to events having a spatial extent, precisely such as natural disasters.
Revised: A meticulous assessment of the risk of extreme environmental events is of great necessity for populations, civil authorities as well as the insurance industry. Using the concept of spatial risk measure and a related set of axioms which are well-suited to analyse and quantify the risk due to events having a spatial extent, precisely such as natural disasters.
Edit intent: coherence
Original:  Koch (2017, 2018) introduced a concept of spatial risk measure and a related set of axioms which are well-suited to analyse and quantify the risk due to events having a spatial extent, precisely such as natural disasters.
Revised:  Koch (2017, 2018) introduced a concept of spatial risk measure and related set of axioms which are well-suited to analyse and quantify the risk due to events having a spatial extent, precisely such as natural disasters.
Edit intent: fluency
Original:  Koch (2017, 2018) introduced a concept of spatial risk measure and a related set of axioms which are well-suited to analyse and quantify the risk due to events having a spatial extent, precisely such as natural disasters.
Revised:  Koch (2017, 2018) introduced a concept of spatial risk measure and a related set of axioms introduced by Koch (2017, 2019), we quantify the risk due to events having a spatial extent, precisely such as natural disasters.
Edit intent: meaning-changed
Original:  Koch (2017, 2018) introduced a concept of spatial risk measure and a related set of axioms which are well-suited to analyse and quantify the risk due to events having a spatial extent, precisely such as natural disasters. In this paper, we first carry out a detailed study of the correlation (and covariance) structure of powers of the Smith and Brown-Resnick max-stable random fields  .
Revised:  Koch (2017, 2018) introduced a concept of spatial risk measure and a related set of axioms which are well-suited to analyse and quantify the risk of losses due to extreme wind speeds. The insured cost due to wind events is proportional to the wind speed at a power ranging typically between 2 and 12. Hence we first perform a detailed study of the correlation (and covariance) structure of powers of the Smith and Brown-Resnick max-stable random fields .
Edit intent: meaning-changed
Original:  In this paper, we first carry out a detailed study of the correlation (and covariance) structure of powers of the Smith and Brown-Resnick max-stable random fields  .
Revised:  In this paper, we first carry out a detailed study of the correlation (and covariance) structure of powers of the Smith and Brown-Resnick max-stable random fields and look at the influence of the power .
Edit intent: meaning-changed
Original:  In addition, we show that spatial risk measures associated with several classical risk measures and induced by such cost fields satisfy (at least ) part of the previously mentioned axioms under appropriate conditions on the max-stable fields. Considering such cost fields is particularly relevant when studying the impact of extreme wind speeds on buildings and infrastructure .
Revised:  In addition, we show that spatial risk measures associated with several classical risk measures and induced by such cost fields satisfy (at least ) part of the previously mentioned axioms under conditions which are generally satisfied for the risk of damaging extreme wind speeds on buildings and infrastructure .
Edit intent: clarity
Original:  We show that this is not an innocuous assumption. In fixed effect models where the sole regressor is treatment status, the OLS coefficient is a non-convex average of the heterogeneous cohort-specific ATTs. When regressors containing lags and leads of treatment are added, the OLS coefficient corresponding to a given lead or lag picks up spurious terms consisting of treatment effects from other periods .
Revised:  We show that in settings with variation in treatment timing across units, the coefficient on a given lead or lag picks up spurious terms consisting of treatment effects from other periods .
Edit intent: clarity
Original:  When regressors containing lags and leads of treatment are added, the OLS coefficient corresponding to a given lead or lag picks up spurious terms consisting of treatment effects from other periods . Therefore, estimates from these commonly used models are not causally interpretable .
Revised:  When regressors containing lags and leads of treatment are added, the OLS coefficient corresponding to a given lead or lag picks up spurious terms consisting of treatment effects from other periods , and apparent pretrends can arise solely from treatment effects heterogeneity .
Edit intent: meaning-changed
Original:  We propose alternative estimators that identify certain convex averages of the cohort-specific ATTs, hence allowing for causal interpretation even under heterogeneous treatment effects. To illustrate the empirical content of our results, we show that the fixed effects estimators and our proposed estimators differ substantially in an application to the economic consequences of hospitalization .
Revised:  We propose an alternative estimator that is free of contamination, and illustrate the relative shortcomings of two-way fixed effects regressions with leads and lags through an empirical application .
Edit intent: clarity
Original:  Here we investigate such relationship through a stochastic neural whole-brain model, using as input the structural connectivity matrix defined by the human connectome .
Revised:  Recently, there has been growing interest in investigating the role of homeostatic plasticity mechanisms, across different spatiotemporal scales, in regulating network activity and brain functioning against a wide range of environmental conditions and brain states (e.g., during learning, development, ageing, neurological diseases). In the present study, we investigate how the inclusion of homeostatic plasticity in a stochastic whole-brain model, using as input the structural connectivity matrix defined by the human connectome .
Edit intent: coherence
Original:  Our results open new perspectives in personalized brain modelling with potential applications to investigate the deviation from criticality due to structural lesions (e.g. stroke) or brain disorders.
Revised:  Therefore, our results suggest that the inclusion of homeostatic principles lead to more realistic brain activity consistent with the hallmarks of criticality. Our theoretical framework open new perspectives in personalized brain modelling with potential applications to investigate the deviation from criticality due to structural lesions (e.g. stroke) or brain disorders.
Edit intent: meaning-changed