wanyu/IteraTeR_v2 huggingface dataset:
Original:  So far, seed mass variation was explained by two classes of models, the first focused on coexistence of species varying in seed mass within communities, while the second focused on variation in seed mass between communitiesalong environmental gradients.
Revised:  So far, seed mass variation was investigated by two classes of models, the first focused on coexistence of species varying in seed mass within communities, while the second focused on variation in seed mass between communitiesalong environmental gradients.
Edit intent: clarity
Original:  So far, seed mass variation was explained by two classes of models, the first focused on coexistence of species varying in seed mass within communities, while the second focused on variation in seed mass between communitiesalong environmental gradients.
Revised:  So far, seed mass variation was explained by two classes of studies: one class focuses on coexistence of species varying in seed mass within communities, while the second focused on variation in seed mass between communitiesalong environmental gradients.
Edit intent: clarity
Original:  So far, seed mass variation was explained by two classes of models, the first focused on coexistence of species varying in seed mass within communities, while the second focused on variation in seed mass between communitiesalong environmental gradients.
Revised:  So far, seed mass variation was explained by two classes of models, the first focused on coexistence of species varying in seed mass within communities, while the second focuses on variation between communities, most often with respect to resource gradients.
Edit intent: clarity
Original:  Here, we develop a mechanistic resource competition model capable of simultaneously explaining variation in seed mass within and between communities.
Revised:  Here, we develop a mechanistic model capable of simultaneously explaining variation in seed mass within and between communities.
Edit intent: clarity
Original:  Under the framework of the model , growth allometry increases the relative fitness of small seeded species while light asymmetry increases the relative fitness of large seeded species.
Revised:  Under the framework of the model , growth allometry increases the reproductive success of small-seeded species while light asymmetry increases the relative fitness of large seeded species.
Edit intent: clarity
Original:  Under the framework of the model , growth allometry increases the relative fitness of small seeded species while light asymmetry increases the relative fitness of large seeded species.
Revised:  Under the framework of the model , growth allometry increases the relative fitness of small seeded species while light asymmetry increases the reproductive success of large-seeded species.
Edit intent: clarity
Original:  So far, seed mass variation was investigated by two classes of studies: one class focuses on coexistence of species varying in seed mass within communities, while the second focuses on variation between communities, most often with respect to resource gradients.
Revised:  So far, seed mass variation was investigated by two classes of studies: one class focuses on species varying in seed mass within communities, while the second focuses on variation between communities, most often with respect to resource gradients.
Edit intent: clarity
Original:  Here, we develop a mechanistic model capable of simultaneously explaining variation in seed mass within and between communities.
Revised:  Here, we develop a model capable of simultaneously explaining variation in seed mass within and between communities.
Edit intent: clarity
Original:  The model focuses on annual communities and incorporates two fundamental aspects that have been overlooked by most previous models : light asymmetry (higher light acquisition per unit biomass for larger individuals) and growth allometry (negative dependency of relative growth rate on plant biomass).
Revised:  The model focuses on annual communities and incorporates two fundamental aspects : light asymmetry (higher light acquisition per unit biomass for larger individuals) and growth allometry (negative dependency of relative growth rate on plant biomass).
Edit intent: clarity
Original:  Increasing resource availability increases light competition, thereby increasing the reproductive success of large-seeded species and ultimately the community (weighted) mean seed mass.
Revised:  Increasing availability of soil resources increases light competition, thereby increasing the reproductive success of large-seeded species and ultimately the community (weighted) mean seed mass.
Edit intent: clarity
Original: The increasing interconnectivity in industrial networks is one of the central current hot topics.
Revised: The increasing interconnectivity of industrial networks is one of the central current hot topics.
Edit intent: clarity
Original:  In the National Reference Project for Industrial IT-Security (IUNO), these risks and threats area addressed and solutions are developed.
Revised:  In the National Reference Project for Industrial IT-Security (IUNO), these risks and threats are addressed and solutions are developed.
Edit intent: clarity
Original:  These solutions are especially applicable for small and medium sized enterprises that have not as much means in staff an money as larger companies.
Revised:  These solutions are especially applicable for small and medium sized enterprises that have not as much means in staff as well as money as larger companies.
Edit intent: clarity
Original:  In contrast to many deep learning systems, ours provides users with an understandable solution in the form of conventional retouching edits, rather than just a " black box " result.
Revised:  In contrast to many deep learning systems, ours provides users with an understandable solution in the form of conventional retouching edits, rather than just a " black-box " result.
Edit intent: fluency
Original:  We explore the limitations of the current models used in the field and offer alternative approaches and explains new challenges.
Revised:  We explore the limitations of the current models used in the field and offer alternative approaches and explain new challenges.
Edit intent: fluency
Original: Filament fused fabrication is the method of choice for printing 3D models at low cost , and is the de-facto standard for hobbyists, makers  and schools.
Revised: Fused filament fabrication is the method of choice for printing 3D models at low cost , and is the de-facto standard for hobbyists, makers and schools.
Edit intent: fluency
Original: Filament fused fabrication is the method of choice for printing 3D models at low cost , and is the de-facto standard for hobbyists, makers  and schools.
Revised: Filament fused fabrication is the method of choice for printing 3D models at low cost and is the de-facto standard for hobbyists, makers and schools.
Edit intent: fluency
Original: Filament fused fabrication is the method of choice for printing 3D models at low cost , and is the de-facto standard for hobbyists, makers  and schools.
Revised: Filament fused fabrication is the method of choice for printing 3D models at low cost , and is the de-facto standard for hobbyists, makers , and schools.
Edit intent: fluency
Original:  We exploit this property to produce color gradients.
Revised:  We apply this property to produce color gradients.
Edit intent: clarity
Original:  By locally changing the thickness of the sublayers , we change the color that is perceived at a given location.
Revised:  By locally changing the thickness of the stratum , we change the color that is perceived at a given location.
Edit intent: clarity
Original:  By locally changing the thickness of the sublayers , we change the color that is perceived at a given location.
Revised:  By locally changing the thickness of the sublayers , we change the perceived color at a given location.
Edit intent: clarity
Original:  By optimizing the choice of colors of each sublayer , we further improve quality and allow the use of different numbers of input filaments.
Revised:  By optimizing the choice of colors of each stratum , we further improve quality and allow the use of different numbers of input filaments.
Edit intent: clarity
Original:  This class was introduced in the early 1990s by B\'i r\'o , Hujter, and Tuza.
Revised:  This class was introduced in the early 1990s by B\'ir\'o , Hujter, and Tuza.
Edit intent: fluency
Original:  Very recently , Chaplick et al. initiated the algorithmic study of H-graphs by showing that a number of fundamental optimization problems are solvable in polynomial time on H-graphs.
Revised:  Recently , Chaplick et al. initiated the algorithmic study of H-graphs by showing that a number of fundamental optimization problems are solvable in polynomial time on H-graphs.
Edit intent: coherence
Original:  We show that Maximum Independent Set , and Minimum Dominating Set are W[1]-hard being parameterized by the size of H and the size of the solution.
Revised:  We show that Maximum Independent Set and Minimum Dominating Set are W[1]-hard being parameterized by the size of H and the size of the solution.
Edit intent: fluency
Original:  We show that Maximum Independent Set , and Minimum Dominating Set are W[1]-hard being parameterized by the size of H and the size of the solution.
Revised:  We show that Maximum Independent Set , and Minimum Dominating Set are W[1]-hard being parameterized by the size of H plus the size of the solution.
Edit intent: clarity
Original:  On the other hand, we prove that when H is a tree, then Minimum Dominating Set is fixed-parameter tractable parameterized (FPT) by the size of H. For Maximum Clique we show that it is W 1%DIFDELCMD < ]%%% -hard parameterized by the size of H but admits a polynomial kernel parameterized by H and the solution size.
Revised:  On the other hand, we prove that when H is a tree, then Minimum Dominating Set is fixed-parameter tractable parameterized (FPT) by the size of H. For Maximum Clique we show that it 1%DIFDELCMD < ]%%% -hard parameterized by the size of H but admits a polynomial kernel parameterized by H and the solution size.
Edit intent: coherence
Original:  On the other hand, we prove that when H is a tree, then Minimum Dominating Set is fixed-parameter tractable parameterized (FPT) by the size of H. For Maximum Clique we show that it is W 1%DIFDELCMD < ]%%% -hard parameterized by the size of H but admits a polynomial kernel parameterized by H and the solution size.
Revised:  On the other hand, we prove that when H is a tree, then Minimum Dominating Set is fixed-parameter tractable parameterized (FPT) by the size of H. For Maximum Clique we show that it is W 1%DIFDELCMD < ]%%% admits a polynomial kernel parameterized by H and the solution size.
Edit intent: coherence
Original: Spontaneous cortical population activity is often described as synchronous during slow-wave sleep and under certain anesthetics , and asynchronous during quiet wakefulness.
Revised: Spontaneous cortical population activity is often described as synchronous during slow-wave sleep or under certain anesthetics , and asynchronous during quiet wakefulness.
Edit intent: fluency
Original: Spontaneous cortical population activity is often described as synchronous during slow-wave sleep and under certain anesthetics , and asynchronous during quiet wakefulness.
Revised: Spontaneous cortical population activity is often described as synchronous during slow-wave sleep and under certain anesthetics and stay asynchronous during quiet wakefulness.
Edit intent: clarity
Original:  The underlying mechanisms that control transitions between these cortical states  are not completely known.
Revised:  The mechanisms behind these cortical states are not completely known.
Edit intent: clarity
Original:  In this paper, based on the observation of two major survival rules of a species of woodlice, i.e., porcellio scaber, we design and propose an algorithm called the porcellio scaber algorithm (PSA) for solving  optimization problems, including differentiable and non-differential ones as well as the case with local optimums . Numerical results based on benchmark problems are presented to validate the efficacy of PSA.
Revised:  In this paper, based on the observation of two major survival rules of a species of woodlice, i.e., porcellio scaber, we present an algorithm called the porcellio scaber algorithm (PSA) for solving optimization problems, including differentiable and non-differential ones as well as the case with local optimums . Numerical results based on benchmark problems are presented to validate the efficacy of PSA.
Edit intent: clarity
Original:  In this paper, based on the observation of two major survival rules of a species of woodlice, i.e., porcellio scaber, we design and propose an algorithm called the porcellio scaber algorithm (PSA) for solving  optimization problems, including differentiable and non-differential ones as well as the case with local optimums . Numerical results based on benchmark problems are presented to validate the efficacy of PSA.
Revised:  In this paper, based on the observation of two major survival rules of a species of woodlice, i.e., porcellio scaber, we design and propose an algorithm called the porcellio scaber algorithm (PSA) for solving optimization problems, including differentiable and non-differential ones as well as the case with local optima . Numerical results based on benchmark problems are presented to validate the efficacy of PSA.
Edit intent: clarity
Original: Cache analysis is usually performed as a combination of "must" and "may" abstract interpretations, classifying instructions as either "always hit", "always miss", or "unknown" .
Revised: Cache analysis is usually performed as a combination of `must' and `may' abstract interpretations, classifying instructions as either "always hit", "always miss", or "unknown" .
Edit intent: fluency
Original: Cache analysis is usually performed as a combination of "must" and "may" abstract interpretations, classifying instructions as either "always hit", "always miss", or "unknown" .
Revised: Cache analysis is usually performed as a combination of "must" and "may" abstract interpretations, classifying instructions as either `always hit', `always miss', or `unknown' .
Edit intent: fluency
Original:  Instructions classified as "unknown" might result in a hit or a miss depending on program inputs or the initial cache state.
Revised:  Instructions classified as `unknown' might result in a hit or a miss depending on program inputs or the initial cache state.
Edit intent: fluency
Original:  We complement our region-based approach with a voxel-level approach to uncover structure in finer-scale responses , providing evidence that higher dimensional responses also characterize patterns of activation within regions known to process and represent objects and their values .
Revised:  We complement our region-based approach with a voxel-level approach to uncover structure in finer-scale responses .
Edit intent: clarity
Original:  We propose a mathematical framework for studying the efficiency of spatially embedded whole-brain states reflected in functional MRI , and demonstrate its utility in describing how human subjects learn the values of novel objects .
Revised:  We propose a mathematical framework for studying the geometric representations of neural responses as reflected in functional MRI , and demonstrate its utility in describing how human subjects learn the values of novel objects .
Edit intent: clarity
Original:  We propose a mathematical framework for studying the efficiency of spatially embedded whole-brain states reflected in functional MRI , and demonstrate its utility in describing how human subjects learn the values of novel objects .
Revised:  We propose a mathematical framework for studying the efficiency of spatially embedded whole-brain states reflected in functional MRI . Considering how human subjects learn the values of novel objects .
Edit intent: clarity
Original:  Furthermore, we find that quick learners display a more compact embedding of the task-relevant information, where the ratio of task-relevant dimension to embedding dimension is consistent with a greater efficiency of cognitive coding.
Revised:  Furthermore, we find that quick learners display a more compact embedding of their neural responses and hence have a higher ratio of their task-based dimension to their embedding dimension -- consistent with a greater efficiency of cognitive coding.
Edit intent: clarity
Original:   This paper considers a variant of such search strategies for edge-weighted trees, where the length of each route is bounded by a positive integer B (e.g. due to limited energy resources of the searcher).
Revised:  This paper considers a variant of such search strategies where the length of each route is bounded by a positive integer B (e.g. due to limited energy resources of the searcher).
Edit intent: clarity
Original:  We call the above algorithm piecemeal-DFS and we prove that it achieves the asymptotically minimal number of routes l, regardless of the choice of R.
Revised:  We call the above algorithm piecemeal-DFS and we prove that it achieves the asymptotically minimal number of routes l, regardless of the choice of R.
Edit intent: fluency
Original:  i.e., when the input tree T is not known in advance , R_i's can be constructed locally without any knowledge of the yet unvisited part of T. Moreover , our results show that depth first search is efficient for energy constrained exploration of trees, even though it is known that the same does not hold for the exploration of arbitrary graphs.
Revised:  i.e., when the input tree T is not known in advance . Surprisingly , our results show that depth first search is efficient for energy constrained exploration of trees, even though it is known that the same does not hold for the exploration of arbitrary graphs.
Edit intent: coherence
Original:  i.e., when the input tree T is not known in advance , R_i's can be constructed locally without any knowledge of the yet unvisited part of T. Moreover , our results show that depth first search is efficient for energy constrained exploration of trees, even though it is known that the same does not hold for the exploration of arbitrary graphs.
Revised:  i.e., when the input tree T is not known in advance , R_i's can be constructed locally without any knowledge of the yet unvisited part of T. Moreover , our results show that depth first search is efficient for energy constrained exploration of trees, even though it is known that the same does not hold for energy constrained exploration of arbitrary graphs.
Edit intent: fluency
Original: We propose a population model for HIV-TB co-infection dynamics by considering treatments for HIV infection, active tuberculosis and coinfection .
Revised: We propose a population model for HIV-TB co-infection dynamics by considering treatments for HIV infection, active tuberculosis and co-infection .
Edit intent: fluency
Original:  The basic reproduction numbers for TB  R_0^T and HIV R_0^H  and overall reproduction number for the system R_0= \max\{R_0^T, R_0^H\} are computed.
Revised:  The basic reproduction numbers for TB ( R_0^T and HIV R_0^H and overall reproduction number for the system R_0= \max\{R_0^T, R_0^H\} are computed.
Edit intent: fluency
Original:  The basic reproduction numbers for TB  R_0^T and HIV R_0^H  and overall reproduction number for the system R_0= \max\{R_0^T, R_0^H\} are computed.
Revised:  The basic reproduction numbers for TB R_0^T and HIV R_0^H ) and overall reproduction number for the system R_0= \max\{R_0^T, R_0^H\} are computed.
Edit intent: fluency
Original:   We explore the effect of early and late HIV treatment on disease induced death during the TB treatment course.
Revised:  We explore the effect of early and late HIV treatment on disease-induced deaths during the TB treatment course.
Edit intent: fluency
Original:  Our current understanding of network centrality is largely restricted to deterministic settings, but in many applications data limitations or theoretical concerns lead practitioners to use random network models .
Revised:  Our current understanding of network centrality is largely restricted to deterministic settings, but practitioners frequently use random network models .
Edit intent: clarity
Original:  We are particularly focused on a special NL-complete problem, 2SAT--the 2CNF Boolean formula satisfiability problem--parameterized by the number of Boolean variables.
Revised:  We are particularly focused on a special NL-complete problem, 2SAT---the 2CNF Boolean formula satisfiability problem--parameterized by the number of Boolean variables.
Edit intent: fluency
Original:  We are particularly focused on a special NL-complete problem, 2SAT--the 2CNF Boolean formula satisfiability problem--parameterized by the number of Boolean variables.
Revised:  We are particularly focused on a special NL-complete problem, 2SAT--the 2CNF Boolean formula satisfiability problem---parameterized by the number of Boolean variables.
Edit intent: fluency
Original:  It is shown that 2SAT with n variables and m clauses can be solved simultaneously polynomial time and  n/2^{c \sqrt{log{n }  polylog(m+n) space for an absolute constant c>0.
Revised:  It is shown that 2SAT with n variables and m clauses can be solved simultaneously polynomial time and ( n/2^{c \sqrt{log{n } polylog(m+n) space for an absolute constant c>0.
Edit intent: fluency
Original:  It is shown that 2SAT with n variables and m clauses can be solved simultaneously polynomial time and  n/2^{c \sqrt{log{n }  polylog(m+n) space for an absolute constant c>0.
Revised:  It is shown that 2SAT with n variables and m clauses can be solved simultaneously polynomial time and n/2^{c \sqrt{\log{n } polylog(m+n) space for an absolute constant c>0.
Edit intent: fluency
Original:  This fact inspires us to propose a new, practical working hypothesis, called the linear space hypothesis (LSH), which states that 2SAT_3 --a restricted variant of 2SAT in which each variable of a given 2CNF formula appears as literals in at most 3 clauses--cannot be solved simultaneously in polynomial time using strictly "sub-linear" (i.e., n^e polylog(n\, polylog(|x|} ) for a certain constant e in (0,1) ) space .
Revised:  This fact inspires us to propose a new, practical working hypothesis, called the linear space hypothesis (LSH), which states that 2SAT_3 ---a restricted variant of 2SAT in which each variable of a given 2CNF formula appears as literals in at most 3 clauses--cannot be solved simultaneously in polynomial time using strictly "sub-linear" (i.e., n^e polylog(n\, polylog(|x|} ) for a certain constant e in (0,1) ) space .
Edit intent: fluency
Original:  This fact inspires us to propose a new, practical working hypothesis, called the linear space hypothesis (LSH), which states that 2SAT_3 --a restricted variant of 2SAT in which each variable of a given 2CNF formula appears as literals in at most 3 clauses--cannot be solved simultaneously in polynomial time using strictly "sub-linear" (i.e., n^e polylog(n\, polylog(|x|} ) for a certain constant e in (0,1) ) space .
Revised:  This fact inspires us to propose a new, practical working hypothesis, called the linear space hypothesis (LSH), which states that 2SAT_3 --a restricted variant of 2SAT in which each variable of a given 2CNF formula appears at most 3 clauses--cannot be solved simultaneously in polynomial time using strictly "sub-linear" (i.e., n^e polylog(n\, polylog(|x|} ) for a certain constant e in (0,1) ) space .
Edit intent: clarity