wanyu/IteraTeR_v2 huggingface dataset:
Original:  In particular, to deal with multivariate fitting, the nonparametric Kernel Density Estimator (KDE) is presented which is flexible and convenient for implicit Li-PDF implementation.
Revised:  In particular, to deal with multivariate fitting, the nonparametric kernel density estimator is presented which is flexible and convenient for implicit Li-PDF implementation.
Edit intent: clarity
Original:  Species distribution models (SDM) are tools used to determine environmental features that influence the geographic distribution of  abundance and have been used to analyze presence-only records.
Revised: 1. Species distribution models (SDM) are tools used to determine environmental features that influence the geographic distribution of abundance and have been used to analyze presence-only records.
Edit intent: coherence
Original:  Species distribution models (SDM) are tools used to determine environmental features that influence the geographic distribution of  abundance and have been used to analyze presence-only records.
Revised:  Species distribution models (SDM) are tools used to determine environmental features that influence the geographic distribution of species' abundance and have been used to analyze presence-only records.
Edit intent: clarity
Original:  Analysis of presence-only records may require correction for non-detection sampling bias to yield reliable conclusions.
Revised:  Analysis of presence-only records may require correction for nondetection sampling bias to yield reliable conclusions.
Edit intent: fluency
Original:  In addition, individuals of some species  may be highly aggregated and standard SDMs ignore environmental features that may influence aggregation behavior.
Revised:  In addition, individuals of some species of animals may be highly aggregated and standard SDMs ignore environmental features that may influence aggregation behavior.
Edit intent: clarity
Original:  We contend non-detection sampling bias can be treated as missing data.
Revised:  2. We contend that nondetection sampling bias can be treated as missing data.
Edit intent: coherence
Original:  Statistical theory and corrective methods are well developed for missing data, but have been ignored in the species distribution modeling literature .
Revised:  Statistical theory and corrective methods are well developed for missing data, but have been ignored in the literature on SDMs .
Edit intent: clarity
Original:  We developed a marked inhomogeneous Poisson point process model (IPPM) that accounted for non-detection and aggregation behavior  and tested our methods on simulated data.
Revised:  We developed a marked inhomogeneous Poisson point process model that accounted for non-detection and aggregation behavior and tested our methods on simulated data.
Edit intent: clarity
Original:  We developed a marked inhomogeneous Poisson point process model (IPPM) that accounted for non-detection and aggregation behavior  and tested our methods on simulated data.
Revised:  We developed a marked inhomogeneous Poisson point process model (IPPM) that accounted for nondetection and aggregation behavior and tested our methods on simulated data.
Edit intent: fluency
Original:  We developed a marked inhomogeneous Poisson point process model (IPPM) that accounted for non-detection and aggregation behavior  and tested our methods on simulated data.
Revised:  We developed a marked inhomogeneous Poisson point process model (IPPM) that accounted for non-detection and aggregation behavior in animals and tested our methods on simulated data.
Edit intent: clarity
Original:  Correcting for non-detection bias requires estimates of the probability of detection which must be obtained from auxiliary data, as presence-only data does not contain information about the detection mechanism.
Revised:  3. Correcting for nondetection sampling bias requires estimates of the probability of detection which must be obtained from auxiliary data, as presence-only data does not contain information about the detection mechanism.
Edit intent: clarity
Original:  Correcting for non-detection bias requires estimates of the probability of detection which must be obtained from auxiliary data, as presence-only data does not contain information about the detection mechanism.
Revised:  Correcting for non-detection bias requires estimates of the probability of detection which must be obtained from auxiliary data, as presence-only data do not contain information about the detection mechanism.
Edit intent: fluency
Original:  Weighted likelihood methods can be used to correct for non-detection if estimates of the probability of detection are available.
Revised:  Weighted likelihood methods can be used to correct for nondetection if estimates of the probability of detection are available.
Edit intent: fluency
Original:  We used a marked IPPM to model intensity of group abundance, a zero-truncated generalized linear model to model group size, and combined these  models to describe the distribution of abundance.
Revised:  We used a marked IPPM to model intensity of group abundance, a zero-truncated generalized linear model to model group size, and combined these two models to describe the distribution of abundance.
Edit intent: clarity
Original:  Our methods performed well on simulated data when non-detection was accounted for and poorly when detection was ignored.
Revised:  Our methods performed well on simulated data when nondetection was accounted for and poorly when detection was ignored.
Edit intent: fluency
Original:   We recommend researchers consider the effects of non-detection when modeling species distributions using presence-only data.
Revised:  4. We recommend researchers consider the effects of non-detection when modeling species distributions using presence-only data.
Edit intent: style
Original:   We recommend researchers consider the effects of non-detection when modeling species distributions using presence-only data.
Revised:  We recommend researchers consider the effects of nondetection sampling bias when modeling species distributions using presence-only data.
Edit intent: clarity
Original:  If information about the detection process is available, we recommend researchers explore the effects of non-detection and, when warranted, correct the bias using our methods.
Revised:  If information about the detection process is available, we recommend researchers explore the effects of nondetection and, when warranted, correct the bias using our methods.
Edit intent: fluency
Original:  In total, one necessary  and six sufficient bounds are proved, improving upon and extending similar estimates obtained in the seminal work of Avron and Toledo (2011) in several dimensions.
Revised:  In total, one necessary bound and six sufficient bounds are proved, improving upon and extending similar estimates obtained in the seminal work of Avron and Toledo (2011) in several dimensions.
Edit intent: clarity
Original:  Recent studies have reported that the vehicles that obstruct the line-of-sight (LOS) path may introduce 10-20 , dB additional loss, and as a result reduce the communication range.
Revised:  Recent studies have reported that the vehicles that obstruct the line-of-sight (LOS) path may introduce 10-20 dB additional loss, and as a result reduce the communication range.
Edit intent: fluency
Original:  Most of the traffic mobility models ( TMM ) today do not treat other vehicles as obstacles and thus can not model the impact of LOS obstruction in VANET simulations.
Revised:  Most of the traffic mobility models ( TMMs ) today do not treat other vehicles as obstacles and thus can not model the impact of LOS obstruction in VANET simulations.
Edit intent: fluency
Original:  The position of each vehicle is updated by using  car-following rules together with the lane-changing rules for the forward motion.
Revised:  The position of each vehicle is updated by using the car-following rules together with the lane-changing rules for the forward motion.
Edit intent: fluency
Original:  In Software Engineering (SE) and Information Systems (IS) fields, however, OA journals are recently born, limited in number, and largely unknown by researchers. ..
Revised:  In Software Engineering (SE) and Information Systems (IS) fields, however, OA journals are recently born, limited in number, and largely unknown by researchers. 
Edit intent: fluency
Original: %DIFDELCMD < ] %%% This paper is a contribution towards an understanding of OA publishing in the fields of SE and IS.
Revised: %DIFDELCMD < ] %%% This article is a contribution towards an understanding of OA publishing in the fields of SE and IS.
Edit intent: fluency
Original:  The study proposes an analysis framework of 18 core attributes, divided into the areas of Identification, Publication Metrics , Economics, Accessibility, and Trustworthiness of OA journals.
Revised:  The study proposes an analysis framework of 18 core attributes, divided into the areas of Identification, Publication Metrics , Economics, Accessibility, and Predatory issues of OA journals.
Edit intent: clarity
Original:  The framework is employed in a systematic analysis of 30 OA journals in SE and IS , which were selected among 386 OA journals in Computer Science , listed in the Directory of OA Journals (DOAJ). . .  This article offers several contributions.
Revised:  The framework has been employed in a systematic analysis of 30 OA journals in SE and IS , which were selected among 386 OA journals in Computer Science , listed in the Directory of OA Journals (DOAJ). . . This article offers several contributions.
Edit intent: clarity
Original:  The framework is employed in a systematic analysis of 30 OA journals in SE and IS , which were selected among 386 OA journals in Computer Science , listed in the Directory of OA Journals (DOAJ). . .  This article offers several contributions.
Revised:  The framework is employed in a systematic analysis of 30 OA journals in SE and IS , which were selected among 386 OA journals in Computer Science from the Directory of OA Journals (DOAJ). . . This article offers several contributions.
Edit intent: clarity
Original:  The framework is employed in a systematic analysis of 30 OA journals in SE and IS , which were selected among 386 OA journals in Computer Science , listed in the Directory of OA Journals (DOAJ). . .  This article offers several contributions.
Revised:  The framework is employed in a systematic analysis of 30 OA journals in SE and IS , which were selected among 386 OA journals in Computer Science , listed in the Directory of OA Journals . . This article offers several contributions.
Edit intent: clarity
Original:  The framework is employed in a systematic analysis of 30 OA journals in SE and IS , which were selected among 386 OA journals in Computer Science , listed in the Directory of OA Journals (DOAJ). . .  This article offers several contributions.
Revised:  The framework is employed in a systematic analysis of 30 OA journals in SE and IS , which were selected among 386 OA journals in Computer Science , listed in the Directory of OA Journals (DOAJ). . This article offers several contributions.
Edit intent: fluency
Original:  It (1) presents a detailed overview of OA definitions and publishing models.
Revised:  It presents an overview of OA definitions and publishing models.
Edit intent: clarity
Original:  It demonstrates that high publication charges are not sufficiently justified by the publishers, which  lack transparency and may prevent authors from adopting OA . OA is threatened by numerous issues.
Revised:  It demonstrates that high publication fees are not sufficiently justified by the publishers, which lack transparency and may prevent authors from adopting OA . OA is threatened by numerous issues.
Edit intent: clarity
Original:  It demonstrates that high publication charges are not sufficiently justified by the publishers, which  lack transparency and may prevent authors from adopting OA . OA is threatened by numerous issues.
Revised:  It demonstrates that high publication charges are not sufficiently justified by the publishers, which often lack transparency and may prevent authors from adopting OA . OA is threatened by numerous issues.
Edit intent: clarity
Original:  In the minimum sliding cameras (MSC) problem, the objective is to guard P with  minimum number of sliding cameras.
Revised:  In the minimum sliding cameras (MSC) problem, the objective is to guard P with the minimum number of sliding cameras.
Edit intent: fluency
Original: The prediction of Weather forecasting can be done with the Wind Speed data .
Revised: The appropriate weather prediction is a challenging task and it can be feasible with proper wind speed fluctuation analysis .
Edit intent: clarity
Original:  But due to abrupt changes in wind data in summer, it is difficult to track the data . So, in that case the concept of the S- transform is introduced.
Revised:  But due to abrupt changes in wind speed occurs which creates difficulty for wavelets to keep proper track of wind speed fluctuations . So, in that case the concept of the S- transform is introduced.
Edit intent: clarity
Original:  But due to abrupt changes in wind data in summer, it is difficult to track the data . So, in that case the concept of the S- transform is introduced.
Revised:  But due to abrupt changes in wind data in summer, it is difficult to track the data . So, in that case the concept of the S-transform is introduced.
Edit intent: fluency
Original:  Utilizing numerical simulations and analytic arguments from physics based on a mapping between ecological dynamics and the Random Energy Model (REM), we find that the niche phase is favored at high immigration rates and high functional diversity , whereas the neutral phase is favored at low carrying capacities and high stochasticity.
Revised:  Utilizing numerical simulations and analytic arguments show that the niche phase is favored at high immigration rates and high functional diversity , whereas the neutral phase is favored at low carrying capacities and high stochasticity.
Edit intent: clarity
Original:  Utilizing numerical simulations and analytic arguments from physics based on a mapping between ecological dynamics and the Random Energy Model (REM), we find that the niche phase is favored at high immigration rates and high functional diversity , whereas the neutral phase is favored at low carrying capacities and high stochasticity.
Revised:  Utilizing numerical simulations and analytic arguments from physics based on a mapping between ecological dynamics and the Random Energy Model (REM), we find that the niche phase is favored in communities with large population sizes and relatively constant environments , whereas the neutral phase is favored at low carrying capacities and high stochasticity.
Edit intent: clarity
Original: Drift analysis is a useful tool for estimating upper and lower bounds on the runtime of evolutionary algorithms.
Revised: Drift analysis is a useful tool for estimating the runtime of evolutionary algorithms.
Edit intent: clarity
Original:  A new representation of drift analysis, called average drift analysis, is introduced in the paper.
Revised:  A new representation of drift analysis, called average drift analysis, is introduced in this paper.
Edit intent: fluency
Original:  Point-wise drift theorems are a corollary of average drift theorems.
Revised:  Point-wise drift theorems are corollaries of average drift theorems.
Edit intent: fluency
Original:  To demonstrate the advantage of average drift analysis, we choose (1+N) evolutionary algorithms for linear-like functions as  case study.
Revised:  To demonstrate the advantage of average drift analysis, we choose (1+N) evolutionary algorithms for linear-like functions as a case study.
Edit intent: fluency
Original:  Using average drift analysis, an exact bound on the runtime has been drawn for the algorithm and then the cut-off point of population scalability is derived.
Revised:  The lower and upper bounds on the runtime has been drawn for the algorithm and then the cut-off point of population scalability is derived.
Edit intent: clarity
Original:  Using average drift analysis, an exact bound on the runtime has been drawn for the algorithm and then the cut-off point of population scalability is derived.
Revised:  Using average drift analysis, an exact bound on the runtime have been drawn using average drift analysis. The cut-off point of population scalability is derived.
Edit intent: clarity
Original: Drift analysis is a useful tool for estimating the runtime of evolutionary algorithms.
Revised: Drift analysis is a useful tool for estimating the running time of evolutionary algorithms.
Edit intent: clarity
Original:  A new representation of drift analysis, called average drift analysis, is introduced in this paper.
Revised:  A new representation of drift analysis, called average drift analysis, is described in this paper.
Edit intent: clarity
Original:  Point-wise drift theorems are corollaries of  average drift theorems.
Revised:  Point-wise drift theorems are corollaries of our average drift theorems.
Edit intent: fluency
Original:  To demonstrate the advantage of average drift analysis, we choose a population-based evolutionary algorithms for linear-like functions as a case study.
Revised:  To demonstrate the application of average drift analysis, we choose a population-based evolutionary algorithms for linear-like functions as a case study.
Edit intent: clarity
Original:  The lower and upper bounds on the runtime have been drawn using average drift analysis .
Revised:  The lower and upper bounds on their running time have been derived using the average drift analysis .
Edit intent: clarity
Original: If two species show different nonlinear responses to a single shared resource, and if each species modifies resource dynamics such that it favors its competitor, they may stably coexist.
Revised: If two species show different nonlinear responses to a single shared resource, and if each species modifies resource dynamics such that this favors its competitor, they may stably coexist.
Edit intent: fluency
Original:  While the mechanism behind this phenomenon, known as relative nonlinearity of competition, is well understood,  less is known about its evolutionary properties and its prevalence in real communities.
Revised:  The mechanism behind this phenomenon, known as relative nonlinearity of competition, is well understood, less is known about its evolutionary properties and its prevalence in real communities.
Edit intent: coherence
Original:  While the mechanism behind this phenomenon, known as relative nonlinearity of competition, is well understood,  less is known about its evolutionary properties and its prevalence in real communities.
Revised:  While the mechanism behind this phenomenon, known as relative nonlinearity of competition, is well understood, but less is known about its evolutionary properties and its prevalence in real communities.
Edit intent: coherence
Original:  We address this challenge by using the adaptive dynamics framework as well as individual-based simulations to compare dynamic and evolutionary stability of communities coexisting through relative nonlinearity.
Revised:  We address this challenge by using the adaptive dynamics framework as well as individual-based simulations to compare dynamic and evolutionary stability of communities that coexist by relative nonlinearity.
Edit intent: clarity
Original:  Evolution operates on the species' density compensation strategies, and a trade-off between growth at high versus low resource availability (population density) is assumed.
Revised:  Evolution operates on the species' density compensation strategies, and a trade-off between growth at high versus low resource availability is assumed.
Edit intent: clarity
Original:  We confirm previous findings that, irrespective of the particular model of density-dependence, there are usually broad ranges of coexistence between overcompensating and undercompensating density-compensation strategies .
Revised:  We confirm previous findings that, irrespective of the particular model of density-dependence, there are many combinations of overcompensating and undercompensating density-compensation strategies .
Edit intent: clarity
Original:  We show that most of these strategies, however, are not evolutionarily stable and will be outcompeted by a single compensatory strategy.
Revised:  We show that most of these strategy combinations are not evolutionarily stable and will be outcompeted by a single compensatory strategy.
Edit intent: clarity
Original:  Only very specific evolutionary trade-offs allow evolutionary stability of strategies that coexist through relative nonlinearity.
Revised:  Only very specific evolutionary trade-offs lead to evolutionarily stable coexistence by relative nonlinearity.
Edit intent: clarity
Original:  Our results highlight the need for combining ecological and evolutionary perspectives for understanding community assembly and biogeographical patterns. 
Revised:  Our results highlight the need for combining ecological and evolutionary perspectives for understanding community assembly and biogeographical patterns. ...
Edit intent: fluency
Original: If two species show different nonlinear responses to a single shared resource, and if each species modifies  resource dynamics such that this favors its competitor, they may stably coexist.
Revised: If two species exhibit different nonlinear responses to a single shared resource, and if each species modifies resource dynamics such that this favors its competitor, they may stably coexist.
Edit intent: fluency
Original: If two species show different nonlinear responses to a single shared resource, and if each species modifies  resource dynamics such that this favors its competitor, they may stably coexist.
Revised: If two species show different nonlinear responses to a single shared resource, and if each species modifies the resource dynamics such that this favors its competitor, they may stably coexist.
Edit intent: fluency
Original:  The mechanismbehind this phenomenon , known as relative nonlinearity of competition, is well understood  , but less is known about its evolutionary properties and its prevalence in real communities.
Revised:  This coexistence mechanism , known as relative nonlinearity of competition, is well understood , but less is known about its evolutionary properties and its prevalence in real communities.
Edit intent: clarity
Original:  We address this challenge by using the adaptive dynamics framework as well as individual-based simulations to compare dynamic and evolutionary stability of communities that coexist by relative nonlinearity.
Revised:  We address this challenge by using adaptive dynamics theory and individual-based simulations to compare dynamic and evolutionary stability of communities that coexist by relative nonlinearity.
Edit intent: clarity
Original:  We address this challenge by using the adaptive dynamics framework as well as individual-based simulations to compare dynamic and evolutionary stability of communities that coexist by relative nonlinearity.
Revised:  We address this challenge by using the adaptive dynamics framework as well as individual-based simulations to compare community stabilization and evolutionary stability of communities that coexist by relative nonlinearity.
Edit intent: clarity
Original:  We address this challenge by using the adaptive dynamics framework as well as individual-based simulations to compare dynamic and evolutionary stability of communities that coexist by relative nonlinearity.
Revised:  We address this challenge by using the adaptive dynamics framework as well as individual-based simulations to compare dynamic and evolutionary stability of species that coexist by relative nonlinearity.
Edit intent: clarity
Original:  Evolution operates on the species' density compensation strategies, and  a trade-off between growth at high versus low resource availability is assumed .
Revised:  In our analysis, evolution operates on the species' density compensation strategies, and a trade-off between growth at high versus low resource availability is assumed .
Edit intent: clarity