wanyu/IteraTeR_v2 huggingface dataset:
Original:  However, the vast majority of analyses has focused , so far, on financial systems and little theoretical work has been done on the economic counterpart.
Revised:  However, the vast majority of analyses has focused on financial systems and little theoretical work has been done on the economic counterpart.
Edit intent: coherence
Original:  We have explored the evolution of the bipartite World Trade Web (WTW) across the years 1995-2010, monitoring the behaviour of the system both before and after 2007.
Revised:  We have explored the evolution of the bipartite World Trade Web (WTW) across the years 1995-2010, monitoring the behavior of the system both before and after 2007.
Edit intent: fluency
Original:  Moreover, the most evident modification in the structure of the world trade network can be considered as concluded in 2010, after a seemingly stationary phase of three years.
Revised:  Moreover, the WTW structural modification can be considered as concluded in 2010, after a seemingly stationary phase of three years.
Edit intent: clarity
Original: The formation of network structure is influenced by individual node's activity and its memory . Usually activity can be interpreted as the inherent property of node and memory can be represented by the interaction strength among nodes.
Revised: The formation of network structure is mainly influenced by an individual node's activity and its memory . Usually activity can be interpreted as the inherent property of node and memory can be represented by the interaction strength among nodes.
Edit intent: clarity
Original: The formation of network structure is influenced by individual node's activity and its memory . Usually activity can be interpreted as the inherent property of node and memory can be represented by the interaction strength among nodes.
Revised: The formation of network structure is influenced by individual node's activity and its memory , where activity can usually be interpreted as the inherent property of node and memory can be represented by the interaction strength among nodes.
Edit intent: coherence
Original: The formation of network structure is influenced by individual node's activity and its memory . Usually activity can be interpreted as the inherent property of node and memory can be represented by the interaction strength among nodes.
Revised: The formation of network structure is influenced by individual node's activity and its memory . Usually activity can be interpreted as the individual inherent property and memory can be represented by the interaction strength among nodes.
Edit intent: clarity
Original: The formation of network structure is influenced by individual node's activity and its memory . Usually activity can be interpreted as the inherent property of node and memory can be represented by the interaction strength among nodes.
Revised: The formation of network structure is influenced by individual node's activity and its memory . Usually activity can be interpreted as the inherent property of node and memory can be represented by the interaction strength between nodes.
Edit intent: fluency
Original:  To address the role of activity and memory in epidemics on temporal networks, we propose temporal-pattern coarsening of activity-driven growing networks with memory.
Revised:  To address the role of activity and memory in epidemics on time-varying networks, we propose temporal-pattern coarsening of activity-driven growing networks with memory.
Edit intent: clarity
Original:  In particular, we focus on the relation between coarsening time scale and spreading dynamics in the context of dynamic scaling and finite-size scaling.
Revised:  In particular, we focus on the relation between time-scale coarsening and spreading dynamics in the context of dynamic scaling and finite-size scaling.
Edit intent: fluency
Original:  Finally, we discuss the universality issue of spreading dynamics on time-varying networks for various memory causality aspects .
Revised:  Finally, we discuss the universality issue of spreading dynamics on time-varying networks for various memory-causality tests .
Edit intent: clarity
Original: We explore the use of inexpensive consumer light-field camera technology for the purpose of light-field microscopy (LFM) . Our experiments are based on the Lytro (first generation ) camera.
Revised: We explore the use of inexpensive consumer light- field camera technology for the purpose of light-field microscopy (LFM) . Our experiments are based on the Lytro (first generation ) camera.
Edit intent: fluency
Original: We explore the use of inexpensive consumer light-field camera technology for the purpose of light-field microscopy (LFM) . Our experiments are based on the Lytro (first generation ) camera.
Revised: We explore the use of inexpensive consumer light-field camera technology for the purpose of light-field mi- croscopy . Our experiments are based on the Lytro (first generation ) camera.
Edit intent: clarity
Original: We explore the use of inexpensive consumer light-field camera technology for the purpose of light-field microscopy (LFM) . Our experiments are based on the Lytro (first generation ) camera.
Revised: We explore the use of inexpensive consumer light-field camera technology for the purpose of light-field microscopy (LFM) . Our experiments are based on the Lytro (first gen- eration ) camera.
Edit intent: fluency
Original:  Unfortunately, the optical systems of the Lytro and those of microscopes are not compatible, leading to a loss of light-field information  when directly recording microscopic pictures .
Revised:  Unfortunately, the optical systems of the Lytro and those of microscopes are not compatible, lead- ing to a loss of light-field information when directly recording microscopic pictures .
Edit intent: fluency
Original:  Unfortunately, the optical systems of the Lytro and those of microscopes are not compatible, leading to a loss of light-field information  when directly recording microscopic pictures .
Revised:  Unfortunately, the optical systems of the Lytro and those of microscopes are not compatible, leading to a loss of light-field information when directly recording microscopic pic- tures .
Edit intent: fluency
Original:  As a practical result, we show that the Lytro sensor can be used for low magnification work, as e.g. common in quality control, sur- face characterization, etc.
Revised:  As a practical result, we show that the camera can be used for low magnification work, as e.g. common in quality control, sur- face characterization, etc.
Edit intent: clarity
Original:  As a practical result, we show that the Lytro sensor can be used for low magnification work, as e.g. common in quality control, sur- face characterization, etc.
Revised:  As a practical result, we show that the Lytro sensor can be used for low magnification work, as e.g. common in quality control, surface characterization, etc.
Edit intent: fluency
Original:  We show that any binary hierarchical model with M pure higher order interactions can be expressed as the marginal of a pairwise interaction model with \sim%DIFDELCMD < \tfrac12 %%% M ]  hidden binary variables  .
Revised:  We show that %DIFDELCMD < \tfrac12 %%% M ] hidden binary variables .
Edit intent: coherence
Original: Non-destructive methods were used to estimate the volume, aerial biomass and amount of carbon stored by individuals of different plant species , communities, vegetation types and coverage based on using elemental information capture, three-dimensional architecture and recurrent neural networks.
Revised: A nondestructive method for estimating the amount of carbon stored by individuals of different plant species , communities, vegetation types and coverage based on using elemental information capture, three-dimensional architecture and recurrent neural networks.
Edit intent: clarity
Original: Non-destructive methods were used to estimate the volume, aerial biomass and amount of carbon stored by individuals of different plant species , communities, vegetation types and coverage based on using elemental information capture, three-dimensional architecture and recurrent neural networks.
Revised: Non-destructive methods were used to estimate the volume, aerial biomass and amount of carbon stored by individuals , communities, vegetation types and coverage based on using elemental information capture, three-dimensional architecture and recurrent neural networks.
Edit intent: clarity
Original: Non-destructive methods were used to estimate the volume, aerial biomass and amount of carbon stored by individuals of different plant species , communities, vegetation types and coverage based on using elemental information capture, three-dimensional architecture and recurrent neural networks.
Revised: Non-destructive methods were used to estimate the volume, aerial biomass and amount of carbon stored by individuals of different plant species , communities, vegetation types and coverage based on using elemental information capture, three-dimensional analysis of tree architecture and artificial neural networks.
Edit intent: clarity
Original:  This methodology accurately captures the diversity of plant forms present in plotsor releves.
Revised:  This technique accurately incorporates the diversity of plant forms present in plotsor releves.
Edit intent: clarity
Original:  The calculation of stored carbon in a vegetation type is a result from half the estimates of the biomass of sampled individuals in significant plots by the use of allometric formulas.
Revised:  The calculation of stored carbon in a vegetation type is usually calculated as half the biomass of sampled individuals in significant plots by the use of allometric formulas.
Edit intent: clarity
Original:  The calculation of stored carbon in a vegetation type is a result from half the estimates of the biomass of sampled individuals in significant plots by the use of allometric formulas.
Revised:  The calculation of stored carbon in a vegetation type is a result from half the estimates of the biomass of sampled individuals , estimated with allometric formulas.
Edit intent: clarity
Original:  The most complete formulas incorporate the diameter, height  and specific gravity of trees but do not consider the variation in carbon stored in different organs or different species as well as exclude information on the wide variety of architectures present in different plant communities.
Revised:  The most complete of these formulas incorporate diameter, height and specific gravity of trees but do not consider the variation in carbon stored in different organs or different species as well as exclude information on the wide variety of architectures present in different plant communities.
Edit intent: clarity
Original:  The most complete formulas incorporate the diameter, height  and specific gravity of trees but do not consider the variation in carbon stored in different organs or different species as well as exclude information on the wide variety of architectures present in different plant communities.
Revised:  The most complete formulas incorporate the diameter, height , and specific gravity of trees but do not consider the variation in carbon stored in different organs or different species as well as exclude information on the wide variety of architectures present in different plant communities.
Edit intent: fluency
Original:  The most complete formulas incorporate the diameter, height  and specific gravity of trees but do not consider the variation in carbon stored in different organs or different species as well as exclude information on the wide variety of architectures present in different plant communities.
Revised:  The most complete formulas incorporate the diameter, height and specific gravity of wood but do not consider the variation in carbon stored in different organs or different species as well as exclude information on the wide variety of architectures present in different plant communities.
Edit intent: clarity
Original:  The most complete formulas incorporate the diameter, height  and specific gravity of trees but do not consider the variation in carbon stored in different organs or different species as well as exclude information on the wide variety of architectures present in different plant communities.
Revised:  The most complete formulas incorporate the diameter, height and specific gravity of trees but do not consider the variation in carbon stored in different organs or different species , nor do they include information on the wide variety of architectures present in different plant communities.
Edit intent: coherence
Original:  The most complete formulas incorporate the diameter, height  and specific gravity of trees but do not consider the variation in carbon stored in different organs or different species as well as exclude information on the wide variety of architectures present in different plant communities.
Revised:  The most complete formulas incorporate the diameter, height and specific gravity of trees but do not consider the variation in carbon stored in different organs or different species as well as exclude information on the wide array of architectures present in different plant communities.
Edit intent: clarity
Original:  To develop an allometric model , many individuals of different species must be sacrificed for the identification processes, validation and error minimization .
Revised:  To develop these allometric models , many individuals of different species must be sacrificed for the identification processes, validation and error minimization .
Edit intent: clarity
Original:  To develop an allometric model , many individuals of different species must be sacrificed for the identification processes, validation and error minimization .
Revised:  To develop an allometric model , many individuals of different species must be sacrificed to identify and validate samples and to minimize error .
Edit intent: clarity
Original:  It is common to find cutting-edge studies in which logging is encouraged to improve estimates of carbon.
Revised:  It is common to find cutting-edge studies that encourage logging to improve estimates of carbon.
Edit intent: clarity
Original:  In this study, we replace this destructive methodology and provide an important contribution to quantifying global aboveground carbon.
Revised:  In our approach we replace this destructive methodology and provide an important contribution to quantifying global aboveground carbon.
Edit intent: clarity
Original:  In this study, we replace this destructive methodology and provide an important contribution to quantifying global aboveground carbon.
Revised:  In this study, we replace this destructive methodology with a new technique for quantifying global aboveground carbon.
Edit intent: clarity
Original:  We have demonstrated with our methodology that carbon content in forest above-ground biomass in the pantropic could rise to 723.
Revised:  We demonstrate that carbon content in forest above-ground biomass in the pantropic could rise to 723.
Edit intent: clarity
Original:  We have demonstrated with our methodology that carbon content in forest above-ground biomass in the pantropic could rise to 723.
Revised:  We have demonstrated with our methodology that carbon content in forest aboveground biomass in the pantropic could rise to 723.
Edit intent: fluency
Original:  We have demonstrated with our methodology that carbon content in forest above-ground biomass in the pantropic could rise to 723.
Revised:  We have demonstrated with our methodology that carbon content in forest above-ground biomass in the pantropics could rise to 723.
Edit intent: fluency
Original: 97 Pg C. This would involve the reassessment of many climatic and ecological models in order to move towards a better understanding of the adverse effects of climate change  .
Revised: 97 Pg C. This study shows that a reevaluation of climatic and ecological models in order to move towards a better understanding of the adverse effects of climate change .
Edit intent: clarity
Original: 97 Pg C. This would involve the reassessment of many climatic and ecological models in order to move towards a better understanding of the adverse effects of climate change  .
Revised: 97 Pg C. This would involve the reassessment of many climatic and ecological models is needed to move toward a better understanding of the adverse effects of climate change .
Edit intent: clarity
Original:  We introduce an agent-based model  in which agents set their prices to maximize profit.
Revised:  We introduce an agent-based model , in which agents set their prices to maximize profit.
Edit intent: fluency
Original:  At steady state , the market self-organizes into three groups: excess producers, consumers , and balanced agents  .
Revised:  At steady state the market self-organizes into three groups: excess producers, consumers , and balanced agents .
Edit intent: fluency
Original:  At steady state , the market self-organizes into three groups: excess producers, consumers , and balanced agents  .
Revised:  At steady state , the market self-organizes into three groups: excess producers, consumers and balanced agents .
Edit intent: fluency
Original:  When resources are scarce , prices rise sharply at a turning point due to the disappearance of excess producers.
Revised:  When resources are scarce prices rise sharply at a turning point due to the disappearance of excess producers.
Edit intent: fluency
Original:  When resources are scarce , prices rise sharply at a turning point due to the disappearance of excess producers.
Revised:  When resources are scarce , prices rise sharply below a turning point due to the disappearance of excess producers.
Edit intent: clarity
Original:  When resources are scarce , prices rise sharply at a turning point due to the disappearance of excess producers.
Revised:  When resources are scarce , prices rise sharply at a turning point that marks the disappearance of excess producers.
Edit intent: clarity
Original: We propose a new probabilistic pattern formation algorithm for oblivious mobile robots that operate in the ASYNC model.
Revised: We propose a new probabilistic pattern formation algorithm for oblivious mobile robots that operates inthe ASYNC model.
Edit intent: fluency
Original:  Unlike previous work, our algorithm makes no assumptions about the local coordinate systems of robots (the robots do not share a common "North" nor a common "Right"), yet it preserves the ability to form any general pattern (and not just patterns that satisfy symmetricity predicates).
Revised:  Unlike previous work, our algorithm makes no assumptions about the local coordinatesystems of robots (the robots do not share a common "North" nor a common "Right"), yet it preserves the ability to form any general pattern (and not just patterns that satisfy symmetricity predicates).
Edit intent: fluency
Original:  Unlike previous work, our algorithm makes no assumptions about the local coordinate systems of robots (the robots do not share a common "North" nor a common "Right"), yet it preserves the ability to form any general pattern (and not just patterns that satisfy symmetricity predicates).
Revised:  Unlike previous work, our algorithm makes no assumptions about the local coordinate systems of robots (the robots do not share a common "North" nor a common "Right"), yet it preserves the ability to form any general pattern (and not justpatterns that satisfy symmetricity predicates).
Edit intent: fluency
Original:  Our proposal also gets rid of the previous assumption (in the same model) that robots do not pause while moving (so, our robots really are fully asynchronous), and the amount of randomness is kept low -- a single random bit per robot per Look-Compute-Move cycle is used.
Revised:  Our proposal also gets rid of the previous assumption (in thesame model) that robots do not pause while moving (so, our robots really are fully asynchronous), and the amount of randomness is kept low -- a single random bit per robot per Look-Compute-Move cycle is used.
Edit intent: fluency
Original:  Our proposal also gets rid of the previous assumption (in the same model) that robots do not pause while moving (so, our robots really are fully asynchronous), and the amount of randomness is kept low -- a single random bit per robot per Look-Compute-Move cycle is used.
Revised:  Our proposal also gets rid of the previous assumption (in the same model) that robots do not pause while moving (so, our robots really are fully asynchronous), and theamount of randomness is kept low -- a single random bit per robot per Look-Compute-Move cycle is used.
Edit intent: fluency
Original: Our protocol consists in the combination of two phases, a probabilistic leader election phase, and a deterministic pattern formation one.
Revised: Our protocol consists in the combination of two phases, a probabilistic leader election phase, and a deterministicpattern formation one.
Edit intent: fluency
Original:  As the deterministic phase does not use chirality, it may be of independent interest in the determin-istic context.
Revised:  As the deterministic phase does not use chirality, it may be of independentinterest in the deterministic context.
Edit intent: fluency
Original:  A straightforward extension of our algorithm permits to form patterns with multiplicity points ( provided robots are endowed with multiplicity detection ), a new feature in the context of pattern formation that we believe is an important feature of our approach.
Revised:  A noteworthy feature of our algorithm permits to form patterns with multiplicity points ( provided robots are endowed with multiplicity detection ), a new feature in the context of pattern formation that we believe is an important feature of our approach.
Edit intent: clarity
Original:  A straightforward extension of our algorithm permits to form patterns with multiplicity points ( provided robots are endowed with multiplicity detection ), a new feature in the context of pattern formation that we believe is an important feature of our approach.
Revised:  A straightforward extension of our algorithm is the ability to form patternswith multiplicity points ( provided robots are endowed with multiplicity detection ), a new feature in the context of pattern formation that we believe is an important feature of our approach.
Edit intent: clarity
Original:  A straightforward extension of our algorithm permits to form patterns with multiplicity points ( provided robots are endowed with multiplicity detection ), a new feature in the context of pattern formation that we believe is an important feature of our approach.
Revised:  A straightforward extension of our algorithm permits to form patterns with multiplicity points ( provided robots are endowed with multiplicity detection ), a new feature in the contextof pattern formation that we believe is an important feature of our approach.
Edit intent: fluency
Original:  A straightforward extension of our algorithm permits to form patterns with multiplicity points ( provided robots are endowed with multiplicity detection ), a new feature in the context of pattern formation that we believe is an important feature of our approach.
Revised:  A straightforward extension of our algorithm permits to form patterns with multiplicity points ( provided robots are endowed with multiplicity detection ), a new feature in the context of pattern formation that we believe is an important asset of our approach.
Edit intent: clarity
Original:  We provide explicit bounds for the complexity of our algorithm, proving that the maximum number of arithmetic operations that are performed is essentially quadratic in a multilinear Bezout bound of d.
Revised:  We provide explicit bounds for the complexity of our algorithm, proving that the maximum number of arithmetic operations that are performed is essentially quadratic in a multilinear B\'ezout bound of d.
Edit intent: fluency
Original:  When the size m of the pencil is fixed, such a bound, and hence the complexity, is polynomial in n , the number of variables .
Revised:  When the size m of the pencil is fixed, such a bound, and hence the complexity, is polynomial in n (resp. m) .
Edit intent: clarity