wanyu/IteraTeR_v2 huggingface dataset:
Original:  Herein, we proposed a new statistical method of estimating the number of erroneous edges  that strongly enhances the commonly used inference approaches.
Revised:  Herein, we proposed a new statistical method for estimating the number of erroneous edges that strongly enhances the commonly used inference approaches.
Edit intent: fluency
Original:  Herein, we proposed a new statistical method of estimating the number of erroneous edges  that strongly enhances the commonly used inference approaches.
Revised:  Herein, we proposed a new statistical method of estimating the number of erroneous edges that strongly enhances commonly used inference approaches.
Edit intent: fluency
Original:  This method is based on  special relationship between correlation and causality, and allows to identify and to remove approximately half of  erroneous edges.
Revised:  This method is based on a special relationship between correlation and causality, and allows to identify and to remove approximately half of erroneous edges.
Edit intent: fluency
Original:  This method is based on  special relationship between correlation and causality, and allows to identify and to remove approximately half of  erroneous edges.
Revised:  This method is based on special relationship between correlation and causality, and allows for the identification and to removal of approximately half of erroneous edges.
Edit intent: fluency
Original:  This method is based on  special relationship between correlation and causality, and allows to identify and to remove approximately half of  erroneous edges.
Revised:  This method is based on special relationship between correlation and causality, and allows to identify and to remove approximately half of all erroneous edges.
Edit intent: clarity
Original:  Using the mathematical model of Bayesian networks and positive correlation inequalities we established a mathematical foundation for our method.
Revised:  Using the mathematical model of Bayesian networks and positive correlation inequalities we establish a mathematical foundation for our method.
Edit intent: fluency
Original:  Analyzing real biological datasets, we found a strong correlation between the results of our method and the commonly used false discovery rate (FDR) technique.
Revised:  Analyzing existing biological datasets, we found a strong correlation between the results of our method and the commonly used false discovery rate (FDR) technique.
Edit intent: clarity
Original:  Analyzing real biological datasets, we found a strong correlation between the results of our method and the commonly used false discovery rate (FDR) technique.
Revised:  Analyzing real biological datasets, we find a strong correlation between the results of our method and the commonly used false discovery rate (FDR) technique.
Edit intent: fluency
Original:  Furthermore, the simulation analysis demonstrates that in large networks , our new method provides a more precise estimation of the proportion of erroneous links than FDR.
Revised:  Furthermore, simulation analysis demonstrates that in large networks , our new method provides a more precise estimation of the proportion of erroneous links than FDR.
Edit intent: coherence
Original:  Furthermore, the simulation analysis demonstrates that in large networks , our new method provides a more precise estimation of the proportion of erroneous links than FDR.
Revised:  Furthermore, the simulation analysis demonstrates that with large networks our new method provides a more precise estimation of the proportion of erroneous links than FDR.
Edit intent: fluency
Original:  Furthermore, the simulation analysis demonstrates that in large networks , our new method provides a more precise estimation of the proportion of erroneous links than FDR.
Revised:  Furthermore, the simulation analysis demonstrates that in large networks , our new method provides a more accurate estimate of network error than FDR.
Edit intent: clarity
Original:  The reconstruction of gene regulatory networks from observational data is a challengingtask , especially considering the large number of players (e.g. genes) involved and the small number of biological replicates available for analysis.
Revised:  The reconstruction of gene regulatory networks from observational data can be challenging , especially considering the large number of players (e.g. genes) involved and the small number of biological replicates available for analysis.
Edit intent: clarity
Original:  The reconstruction of gene regulatory networks from observational data is a challengingtask , especially considering the large number of players (e.g. genes) involved and the small number of biological replicates available for analysis.
Revised:  The reconstruction of gene regulatory networks from observational data is a challengingtask , especially considering the large number of players involved and the small number of biological replicates available for analysis.
Edit intent: clarity
Original:  Herein, we propose a new statistical method for estimating the number of erroneous edges in reconstructed networks that strongly enhances commonly used inference approaches.
Revised:  We propose a new statistical method for estimating the number of erroneous edges in reconstructed networks that strongly enhances commonly used inference approaches.
Edit intent: coherence
Original:  This method is based on a special relationship between correlation and causality , and allows for the identification and to removal of approximately half of all erroneous edges.
Revised:  This method is based on a special relationship between correlation and causality , and allows for the identification and removal of approximately half of all erroneous edges.
Edit intent: fluency
Original:  Analyzing existing biological datasets, we find a strong correlation between the results of our method and the commonly used false discovery rate (FDR) technique .
Revised:  Analyzing existing biological datasets, we find a strong correlation between the results of our method and false discovery rate (FDR) technique .
Edit intent: clarity
Original:  Analyzing existing biological datasets, we find a strong correlation between the results of our method and the commonly used false discovery rate (FDR) technique .
Revised:  Analyzing existing biological datasets, we find a strong correlation between the results of our method and the commonly used false discovery rate (FDR) .
Edit intent: clarity
Original:  Furthermore, simulation analysis demonstrates that with large networks our new method provides a more accurate estimate of network error than FDR.
Revised:  Furthermore, simulation analysis demonstrates that our method provides a more accurate estimate of network error than FDR.
Edit intent: clarity
Original:  Despite much research activity on the performance study of ICMNs , the exact throughput capacity and inherent delay-throughput tradeoff in such networks remain largely unknown.
Revised:  Despite much research activity on the performance study of ICMNs . This paper studies the throughput capacity and inherent delay-throughput tradeoff in such networks remain largely unknown.
Edit intent: clarity
Original:  Despite much research activity on the performance study of ICMNs , the exact throughput capacity and inherent delay-throughput tradeoff in such networks remain largely unknown.
Revised:  Despite much research activity on the performance study of ICMNs , the exact throughput capacity and delay-throughput tradeoff in such networks remain largely unknown.
Edit intent: clarity
Original:  For the concerned ICMN, we first derive its exact throughput capacity based on the pairwise meeting rate therein and also provide analysis on the expected end-to-end packet delay in the network under a capacity achieving routing algorithm .
Revised:  For the concerned ICMN, we first derive an exact expression of its throughput capacity based on the pairwise meeting rate therein and also provide analysis on the expected end-to-end packet delay in the network under a capacity achieving routing algorithm .
Edit intent: clarity
Original:  For the concerned ICMN, we first derive its exact throughput capacity based on the pairwise meeting rate therein and also provide analysis on the expected end-to-end packet delay in the network under a capacity achieving routing algorithm .
Revised:  For the concerned ICMN, we first derive its exact throughput capacity based on the pairwise meeting rate therein and analyze the expected end-to-end packet delay in the network under a capacity achieving routing algorithm .
Edit intent: clarity
Original:  For the concerned ICMN, we first derive its exact throughput capacity based on the pairwise meeting rate therein and also provide analysis on the expected end-to-end packet delay in the network under a capacity achieving routing algorithm .
Revised:  For the concerned ICMN, we first derive its exact throughput capacity based on the pairwise meeting rate therein and also provide analysis on the expected end-to-end packet delay under a routing algorithm that can achieve the throughput capacity .
Edit intent: clarity
Original:  We then explore the inherent tradeoff between delay and throughput in the network and establish a necessary condition for such tradeoff that holds under any routing algorithm . Case studies are further conducted under the random waypoint and random direction models, two typical mobility modelsthat follow the Poisson meeting process .
Revised:  We then explore the inherent tradeoff between delay and throughput and establish a necessary condition for such tradeoff that holds under any routing algorithm . Case studies are further conducted under the random waypoint and random direction models, two typical mobility modelsthat follow the Poisson meeting process .
Edit intent: clarity
Original:  We then explore the inherent tradeoff between delay and throughput in the network and establish a necessary condition for such tradeoff that holds under any routing algorithm . Case studies are further conducted under the random waypoint and random direction models, two typical mobility modelsthat follow the Poisson meeting process .
Revised:  We then explore the inherent tradeoff between delay and throughput in the network and establish a necessary condition for such tradeoff that holds under any routing algorithm . Case studies are further conducted for the random waypoint and random direction models, two typical mobility modelsthat follow the Poisson meeting process .
Edit intent: fluency
Original:  We then explore the inherent tradeoff between delay and throughput in the network and establish a necessary condition for such tradeoff that holds under any routing algorithm . Case studies are further conducted under the random waypoint and random direction models, two typical mobility modelsthat follow the Poisson meeting process .
Revised:  We then explore the inherent tradeoff between delay and throughput in the network and establish a necessary condition for such tradeoff that holds under any routing algorithm . Case studies are further conducted under the random waypoint and random direction mobility models .
Edit intent: clarity
Original:  Finally, simulation and numerical results are provided to validate our capacity/delay models and to illustrate our theoretical findings.
Revised:  Finally, simulation and numerical results are provided to verify the efficiency of our theoretical capacity/delay models and to illustrate our theoretical findings.
Edit intent: clarity
Original:  Finally, simulation and numerical results are provided to validate our capacity/delay models and to illustrate our theoretical findings.
Revised:  Finally, simulation and numerical results are provided to validate our capacity/delay results and to illustrate our theoretical findings.
Edit intent: clarity
Original:  Finally, simulation and numerical results are provided to validate our capacity/delay models and to illustrate our theoretical findings.
Revised:  Finally, simulation and numerical results are provided to validate our capacity/delay models and to illustrate our findings.
Edit intent: clarity
Original:  In this paper, we examine core-periphery structures based on both density and transportation .
Revised:  In this paper, we examine core-periphery structures based on both density and transport .
Edit intent: fluency
Original:  We also generalize this notion to examine core versus peripheral edges, and we show that this new diagnostic is also useful for transportation networks.
Revised:  We also generalize this notion to examine core versus peripheral edges, and we show that the resulting diagnostic is also useful for transportation networks.
Edit intent: clarity
Original:  To examine the properties of transportation networks further, we develop a new family of generative models of road-like networks.
Revised:  To examine the properties of transportation networks further, we develop a family of generative models of road-like networks.
Edit intent: clarity
Original:  To examine the properties of transportation networks further, we develop a new family of generative models of road-like networks.
Revised:  To examine the properties of transportation networks further, we develop a new family of generative models of roadlike networks.
Edit intent: fluency
Original:  Results: We propose  a benchmarking methodology for evaluating  variant calling algorithms called the SMASH toolkit .
Revised:  Results: We propose a benchmarking methodology for evaluating variant calling algorithms .
Edit intent: clarity
Original:  Moreover, we illustrate the utility of SMASH to evaluate the performance of some leading single nucleotide polymorphism (SNP), indel, and structural variant calling algorithms.
Revised:  Moreover, we illustrate the utility of SMaSH to evaluate the performance of some leading single nucleotide polymorphism (SNP), indel, and structural variant calling algorithms.
Edit intent: clarity
Original:  Availability: We provide free and open access online to the SMASH toolkit, along with detailed documentation, at smash.cs.berkeley.edu.
Revised:  Availability: We provide free and open access online to the SMaSH toolkit, along with detailed documentation, at smash.cs.berkeley.edu.
Edit intent: fluency
Original:  The mini-application is designed to generate identical spiking behaviors and network topologies over a varying number of processing nodes , simplifying the quantitative study of scalability on commodity and custom architectures.
Revised:  The mini-application is designed to generate spiking behaviors and network topologies over a varying number of processing nodes , simplifying the quantitative study of scalability on commodity and custom architectures.
Edit intent: clarity
Original:  Here, we present a first set of strong and weak scaling measures of DPSNN-STDP benchmark (Distributed Simulation of Polychronous Spiking Neural Network with synaptic Spiking Timing Dependent Plasticity).
Revised:  Here, we present the strong and weak scaling measures of DPSNN-STDP benchmark (Distributed Simulation of Polychronous Spiking Neural Network with synaptic Spiking Timing Dependent Plasticity).
Edit intent: clarity
Original:  Here, we present a first set of strong and weak scaling measures of DPSNN-STDP benchmark (Distributed Simulation of Polychronous Spiking Neural Network with synaptic Spiking Timing Dependent Plasticity).
Revised:  Here, we present a first set of strong and weak scaling measures of DPSNN-STDP benchmark (Distributed Simulation of Polychronous Spiking Neural Network with synaptic Spike-Timing Dependent Plasticity).
Edit intent: fluency
Original:  In this first test, we used the benchmark to exercise a small scale cluster of commodity processors (varying the number of used physical cores from 1 to 128).
Revised:  In this first test, we used the benchmark to exercise a small-scale cluster of commodity processors (varying the number of used physical cores from 1 to 128).
Edit intent: fluency
Original:  We found no statistically significant correlation between Wikipedia articles metrics (length, number of edits, number of incoming links from other articles, etc.) and academic notability of the mentioned researchers and also we did not find any evidence that these scientists are necessarily more prolific than the averages in each field.
Revised:  We found no statistically significant correlation between Wikipedia articles metrics (length, number of edits, number of incoming links from other articles, etc.) and academic notability of the mentioned researchers . We also did not find any evidence that these scientists are necessarily more prolific than the averages in each field.
Edit intent: coherence
Original:  We also examined the coverage of notable scientist sampled from Thomson Reuters list of "highly cited researchers" in Wikipedia .
Revised:  We also examined the coverage of notable scientists sampled from Thomson Reuters list of "highly cited researchers" in Wikipedia .
Edit intent: fluency
Original:  We also examined the coverage of notable scientist sampled from Thomson Reuters list of "highly cited researchers" in Wikipedia .
Revised:  We also examined the coverage of notable scientist sampled from Thomson Reuters list of "highly cited researchers" .
Edit intent: coherence
Original:  Both findings imply that Wikipedia might produce an inaccurate image of academics on the front end of science and by shedding light on how public perception of academic progress is formed, alert that a subjective element might have been introduced into the hitherto structured system of academic evaluation.
Revised:  Both findings imply that Wikipedia might be producing an inaccurate image of academics on the front end of science and by shedding light on how public perception of academic progress is formed, alert that a subjective element might have been introduced into the hitherto structured system of academic evaluation.
Edit intent: fluency
Original:  Both findings imply that Wikipedia might produce an inaccurate image of academics on the front end of science and by shedding light on how public perception of academic progress is formed, alert that a subjective element might have been introduced into the hitherto structured system of academic evaluation.
Revised:  Both findings imply that Wikipedia might produce an inaccurate image of academics on the front end of science . By shedding light on how public perception of academic progress is formed, alert that a subjective element might have been introduced into the hitherto structured system of academic evaluation.
Edit intent: coherence
Original:  Both findings imply that Wikipedia might produce an inaccurate image of academics on the front end of science and by shedding light on how public perception of academic progress is formed, alert that a subjective element might have been introduced into the hitherto structured system of academic evaluation.
Revised:  Both findings imply that Wikipedia might produce an inaccurate image of academics on the front end of science and by shedding light on how public perception of academic progress is formed, this study alerts that a subjective element might have been introduced into the hitherto structured system of academic evaluation.
Edit intent: clarity
Original: Gabor analysis is one of the most common instance of time-frequency signal analysis.
Revised: Gabor analysis is one of the most common instances of time-frequency signal analysis.
Edit intent: fluency
Original: Energy conservation is one of the most important challenges in wireless sensor networks.
Revised: Energy preservation is one of the most important challenges in wireless sensor networks.
Edit intent: fluency
Original:  In more applications, sensor networks are composed of hundreds or thousands nodes which are dispersed in a wide field.
Revised:  In most applications, sensor networks are composed of hundreds or thousands nodes which are dispersed in a wide field.
Edit intent: clarity
Original:  In more applications, sensor networks are composed of hundreds or thousands nodes which are dispersed in a wide field.
Revised:  In more applications, sensor networks consist of hundreds or thousands nodes which are dispersed in a wide field.
Edit intent: clarity
Original:  In more applications, sensor networks are composed of hundreds or thousands nodes which are dispersed in a wide field.
Revised:  In more applications, sensor networks are composed of hundreds or thousands nodes that are dispersed in a wide field.
Edit intent: fluency
Original:  In large-scale sensor networks, hierarchical architecture and data aggregation are effective approaches to prolong the lifetime of the network as long as possible.
Revised:  Hierarchical architectures and data aggregation are effective approaches to prolong the lifetime of the network as long as possible.
Edit intent: clarity
Original:  In this paper, we propose a novel adaptive Energy-Efficient Multi-layered Architecture (EEMA) protocol for large-scale sensor networks, where utilizes both hierarchical architecture and data aggregation mechanisms efficiently .
Revised:  In this paper, we propose a novel adaptive Energy-Efficient Multi-layered Architecture (EEMA) protocol for large-scale sensor networks, wherein both hierarchical architecture and data aggregation mechanisms efficiently .
Edit intent: fluency
Original:  In EEMA , the network is divided into some layers that the data are gathered in the first layer , and are aggregated in the next layers to reach the base station.
Revised:  In EEMA , the network is divided into some layers that the data are gathered in the first layer and are recursively aggregated in upper layers to reach the base station.
Edit intent: clarity
Original:  Performance evaluation is performed via simulations which confirms the effectiveness of the proposed EEMA protocol in terms of the network lifetime and reduced routing delay , in contrast with the existing hierarchical approaches for large-scale sensor networks .
Revised:  Performance evaluation is performed via simulations which confirms the effectiveness of the proposed EEMA protocol in terms of the network lifetime and reduced routing delay .
Edit intent: coherence
Original: Trade-offs are inherent in nature, and set limits to how much selection can optimize traits.
Revised: Speciation is driven by many different factors. Among those are trade-offs between different ways an organism utilizes resources, and these trade-offs can constrain the manner in which selection can optimize traits.
Edit intent: clarity
Original:  All resources are sufficient for growth , and fitness is derived from consumption according to the Monod equation .
Revised:  All resources are sufficient for growth , and fitness is derived from the consumption of these resources .
Edit intent: clarity
Original:  Mutations cause the traits that control resource affinity to increase or decrease incrementally, or to disable an organism's ability to consume a resource completely.
Edit intent: clarity
Original:  We quantify the degree of specialization by the number of ecotypes formed and the niche breadth of the population, and observe that it is sensitive to resource influx and the trade-offs involved in resource utilization.
Revised:  We quantify the degree of specialization by the number of ecotypes formed and the niche breadth of the population, and observe that these are sensitive to resource influx and the trade-offs involved in resource utilization.
Edit intent: clarity
Original:  We quantify the degree of specialization by the number of ecotypes formed and the niche breadth of the population, and observe that it is sensitive to resource influx and the trade-offs involved in resource utilization.
Revised:  We quantify the degree of specialization by the number of ecotypes formed and the niche breadth of the population, and observe that it is sensitive to resource influx and trade-offs involved in resource utilization.
Edit intent: fluency
Original:  Stronger trade-offs lead to more niche specialization, and the specialized organisms persist through negative frequency-dependent selection.
Revised:  Stronger trade-offs , with more ecotypes evolving the stronger trade-offs are. The specialized organisms persist through negative frequency-dependent selection.
Edit intent: clarity