wanyu/IteraTeR_v2 huggingface dataset:
Original:  An empirical analysis conducted in simulation suggests that the STP mechanism can achieve significantly higher social welfare than a myopic pricing mechanism , and highlights the failure of incentive alignment due to non-smooth prices in myopic mechanisms .
Revised:  An empirical analysis conducted in simulation suggests that the STP mechanism can achieve significantly higher social welfare than a myopic pricing mechanism .
Edit intent: coherence
Original:  The mechanism is incentive-aligned, in that it is a subgame-perfect equilibrium for drivers to accept their dispatches , and the mechanism is also welfare-optimal, envy-free, individually rational and budget balanced from any history onward.
Revised:  The mechanism is incentive-aligned, in that it is a subgame-perfect equilibrium for drivers to accept their dispatches . The mechanism is also welfare-optimal, envy-free, individually rational and budget balanced from any history onward.
Edit intent: coherence
Original:  The mechanism is incentive-aligned, in that it is a subgame-perfect equilibrium for drivers to accept their dispatches , and the mechanism is also welfare-optimal, envy-free, individually rational and budget balanced from any history onward.
Revised:  The mechanism is incentive-aligned, in that it is a subgame-perfect equilibrium for drivers to accept their dispatches , and the mechanism is also welfare-optimal, envy-free, individually rational , budget balanced and core-selecting from any history onward.
Edit intent: clarity
Original:  We workin a complete information , discrete time, multi-period, multi-location model , and introduce the Spatio-Temporal Pricing (STP) mechanism.
Revised:  In this work, we propose a complete information , discrete time, multi-period, multi-location model , and introduce the Spatio-Temporal Pricing (STP) mechanism.
Edit intent: clarity
Original:  The mechanism is also welfare-optimal, envy-free, individually rational, budget balanced  and core-selecting from any history onward.
Revised:  The mechanism is also welfare-optimal, envy-free, individually rational, budget balanced , and core-selecting from any history onward.
Edit intent: fluency
Original:  An empirical analysis conducted in simulation suggests that the STP mechanism can achieve significantly higher social welfare than a myopic pricing mechanism.
Revised:  An empirical analysis conducted in simulation suggests that the STP mechanism can achieve substantially improved social welfare and earning equity than a myopic pricing mechanism.
Edit intent: clarity
Original:  An empirical analysis conducted in simulation suggests that the STP mechanism can achieve significantly higher social welfare than a myopic pricing mechanism.
Revised:  An empirical analysis conducted in simulation suggests that the STP mechanism can achieve significantly higher social welfare than a myopic mechanism.
Edit intent: clarity
Original:  This allows users to represent uncertainty in a more faithfully manner and, as a by-product, provide increased numerical efficiency.
Revised:  This allows users to represent uncertainty in a more faithful manner and, as a by-product, provide increased numerical efficiency.
Edit intent: fluency
Original:  We then  demonstrate its efficiency in the context of multi-fidelity models for complex engineering systems , as well as a problem of global illumination in computer graphics.
Revised:  We then demonstrate its efficiency in the context of multi-fidelity models for complex engineering systems and a problem of global illumination in computer graphics.
Edit intent: coherence
Original:  As the number of contributors to these projects grows, it becomes increasingly important to understand and predict whether the edits that users make will eventually impact the projectpositively . Existing solutions either rely on a user reputation system or consist of a highly-specialized predictor tailored to a specific peer-production system.
Revised:  As the number of contributors to online peer-production systems grows, it becomes increasingly important to understand and predict whether the edits that users make will eventually impact the projectpositively . Existing solutions either rely on a user reputation system or consist of a highly-specialized predictor tailored to a specific peer-production system.
Edit intent: clarity
Original:  As the number of contributors to these projects grows, it becomes increasingly important to understand and predict whether the edits that users make will eventually impact the projectpositively . Existing solutions either rely on a user reputation system or consist of a highly-specialized predictor tailored to a specific peer-production system.
Revised:  As the number of contributors to these projects grows, it becomes increasingly important to predict whether the edits that users make will eventually impact the projectpositively . Existing solutions either rely on a user reputation system or consist of a highly-specialized predictor tailored to a specific peer-production system.
Edit intent: clarity
Original:  As the number of contributors to these projects grows, it becomes increasingly important to understand and predict whether the edits that users make will eventually impact the projectpositively . Existing solutions either rely on a user reputation system or consist of a highly-specialized predictor tailored to a specific peer-production system.
Revised:  As the number of contributors to these projects grows, it becomes increasingly important to understand and predict whether the edits that users make will eventually be beneficial to the project . Existing solutions either rely on a user reputation system or consist of a highly-specialized predictor tailored to a specific peer-production system.
Edit intent: clarity
Original:  As the number of contributors to these projects grows, it becomes increasingly important to understand and predict whether the edits that users make will eventually impact the projectpositively . Existing solutions either rely on a user reputation system or consist of a highly-specialized predictor tailored to a specific peer-production system.
Revised:  As the number of contributors to these projects grows, it becomes increasingly important to understand and predict whether the edits that users make will eventually impact the projectpositively . Existing solutions either rely on a user reputation system or consist of a highly specialized predictor that is tailored to a specific peer-production system.
Edit intent: coherence
Original:  To this end, we formulate a statistical model of edit outcomes.
Edit intent: coherence
Original:  We posit that the probability of a positive outcome is a function of the editor's skill, of the difficulty of editing the component and of a user-component interaction term.
Revised:  We posit that the probability that an edit is accepted is a function of the editor's skill, of the difficulty of editing the component and of a user-component interaction term.
Edit intent: clarity
Original:  Then, we consider Wikipedia and the Linux kernel, two examples of large-scale collaborative projects , and we seek to understand whether this simple model can effectively predict edit survival: in both cases, we provide a positive answer.
Revised:  We apply our model on Wikipedia and the Linux kernel, two examples of large-scale collaborative projects , and we seek to understand whether this simple model can effectively predict edit survival: in both cases, we provide a positive answer.
Edit intent: clarity
Original:  Then, we consider Wikipedia and the Linux kernel, two examples of large-scale collaborative projects , and we seek to understand whether this simple model can effectively predict edit survival: in both cases, we provide a positive answer.
Revised:  Then, we consider Wikipedia and the Linux kernel, two examples of large-scale peer-production systems , and we seek to understand whether this simple model can effectively predict edit survival: in both cases, we provide a positive answer.
Edit intent: clarity
Original:  Then, we consider Wikipedia and the Linux kernel, two examples of large-scale collaborative projects , and we seek to understand whether this simple model can effectively predict edit survival: in both cases, we provide a positive answer.
Revised:  Then, we consider Wikipedia and the Linux kernel, two examples of large-scale collaborative projects , and we seek to understand whether it can effectively predict edit survival: in both cases, we provide a positive answer.
Edit intent: clarity
Original: Inspired by the definition of symmetric decomposition, we introduce the concept of shape partition of a tensor and formulate a general tensor spectral problem that includes all the relevant spectral problems as special cases.
Revised: We introduce the concept of shape partition of a tensor and formulate a general tensor spectral problem that includes all the relevant spectral problems as special cases.
Edit intent: coherence
Original:  This allows us to use the theory of multi-homogeneous order-preserving maps to derive a general and unifying Perron-Frobenius theorem for nonnegative tensors that either implies previous results of this kind or improves them by weakening the assumptions there considered .
Revised:  This allows us to use the theory of multi-homogeneous order-preserving maps to derive a new and unifying Perron-Frobenius theorem for nonnegative tensors that either implies previous results of this kind or improves them by weakening the assumptions there considered .
Edit intent: clarity
Original:  This allows us to use the theory of multi-homogeneous order-preserving maps to derive a general and unifying Perron-Frobenius theorem for nonnegative tensors that either implies previous results of this kind or improves them by weakening the assumptions there considered .
Revised:  This allows us to use the theory of multi-homogeneous order-preserving maps to derive a general and unifying Perron-Frobenius theorem for nonnegative tensors which either implies earlier results of this kind or improves them by weakening the assumptions there considered .
Edit intent: fluency
Original:  This allows us to use the theory of multi-homogeneous order-preserving maps to derive a general and unifying Perron-Frobenius theorem for nonnegative tensors that either implies previous results of this kind or improves them by weakening the assumptions there considered .
Revised:  This allows us to use the theory of multi-homogeneous order-preserving maps to derive a general and unifying Perron-Frobenius theorem for nonnegative tensors that either implies previous results of this kind or improves them , as weaker assumptions are required .
Edit intent: clarity
Original: Understanding the mechanisms underlying the non-random pattern of HIV integration within a host genomeremains an unsolved problem in biophysics.
Revised: Understanding the mechanisms underlying the non-random fraction of all possible integration sites along the host genome. The mechanisms driving this non-uniform selection are not known.
Edit intent: clarity
Original:  To address this issue, we formulate a generic multi-scale physical framework which models viral incorporation into DNA and chromosomes as stochastic "reconnections" between 3D-proximal polymer segments .
Revised:  To address this issue, we formulate a generic physical model where we treat the viral incorporation into DNA and chromosomes as stochastic "reconnections" between 3D-proximal polymer segments .
Edit intent: clarity
Original:  Our model naturally predicts that successful integration events occur more often within more flexible or highly bent DNA, in agreement with long-standing observations.
Revised:  Our model rationalises a number of long-standing observations.
Edit intent: clarity
Original:  We finally propose and solve a reaction-diffusion model which captures the observed distribution of HIV integration sites within the nuclear environment of T-cells.
Revised:  We finally propose and solve a reaction-diffusion model that recapitulates the distribution of HIV integration sites within the nuclear environment of T-cells.
Edit intent: clarity
Original:  We finally propose and solve a reaction-diffusion model which captures the observed distribution of HIV integration sites within the nuclear environment of T-cells.
Revised:  We finally propose and solve a reaction-diffusion model which captures the observed distribution of HIV hot-spots within the nucleus of human T-cells.
Edit intent: clarity
Original:  Our general framework can be used to predict HIV integration dynamics within different cell-lines or displaying different size, fraction of transcriptionally inactive genome and nuclear genomic arrangements .
Revised:  Our general framework can be used to predict integration patterns in human cells .
Edit intent: clarity
Original: The Human Immunodeficiency Virus (HIV) integrates its genetic material in a small and non-random fraction of all possible integration sites along the host genome .
Revised: Certain retroviruses, including HIV, insert their DNA in a non-random fraction of all possible integration sites along the host genome .
Edit intent: clarity
Original: The Human Immunodeficiency Virus (HIV) integrates its genetic material in a small and non-random fraction of all possible integration sites along the host genome .
Revised: The Human Immunodeficiency Virus (HIV) integrates its genetic material in a small and non-random fraction of the host genome .
Edit intent: clarity
Original:  Our model rationalises a number of long-standing unexplained observations: we show that HIV integration is favoured in nucleosomal rather than naked DNA, and in flexible over rigid DNA.
Revised:  Our simulations predict that integration is favoured in nucleosomal rather than naked DNA, and in flexible over rigid DNA.
Edit intent: clarity
Original:  We find that these biases arise due to the difference in the bending energy barrier associated with DNA insertions.
Revised:  We find that these biases arise due to competing energy barriers associated with DNA insertions.
Edit intent: clarity
Original:  Finally we propose and solve a reaction-diffusion model that recapitulates the distribution of HIV hot-spots within the nucleus of human T-cells.
Revised:  Finally we propose and solve a reaction-diffusion problem that recapitulates the distribution of HIV hot-spots within the nucleus of human T-cells.
Edit intent: clarity
Original:  Finally we propose and solve a reaction-diffusion model that recapitulates the distribution of HIV hot-spots within the nucleus of human T-cells.
Revised:  Finally we propose and solve a reaction-diffusion model that recapitulates the distribution of HIV hot-spots within T-cells.
Edit intent: clarity
Original:  The results show that although some specific functions can have execution times decreased by as much as 74\%, the majority of individual metrics indicates little to no decrease in performance.
Revised:  The results show that although some specific functions can have performance decreased by as much as 74\%, the majority of individual metrics indicates little to no decrease in performance.
Edit intent: clarity
Original:  Stochastic domination allows to formulate much more informative performance guarantees than the expectation alone , it allows to decouple the algorithm analysis into the true algorithmic part of detecting a domination statement and probability theoretic part of deriving the desired probabilistic guarantees from this statement, and it allows simpler and more natural proofs.
Revised:  Stochastic domination allows to formulate much more informative performance guarantees , it allows to decouple the algorithm analysis into the true algorithmic part of detecting a domination statement and probability theoretic part of deriving the desired probabilistic guarantees from this statement, and it allows simpler and more natural proofs.
Edit intent: coherence
Original:  Stochastic domination allows to formulate much more informative performance guarantees than the expectation alone , it allows to decouple the algorithm analysis into the true algorithmic part of detecting a domination statement and probability theoretic part of deriving the desired probabilistic guarantees from this statement, and it allows simpler and more natural proofs.
Revised:  Stochastic domination allows to formulate much more informative performance guarantees than the expectation alone , it allows to decouple the algorithm analysis into the true algorithmic part of detecting a domination statement and the probability-theoretical part of deriving the desired probabilistic guarantees from this statement, and it allows simpler and more natural proofs.
Edit intent: fluency
Original:  Stochastic domination allows to formulate much more informative performance guarantees than the expectation alone , it allows to decouple the algorithm analysis into the true algorithmic part of detecting a domination statement and probability theoretic part of deriving the desired probabilistic guarantees from this statement, and it allows simpler and more natural proofs.
Revised:  Stochastic domination allows to formulate much more informative performance guarantees than the expectation alone , it allows to decouple the algorithm analysis into the true algorithmic part of detecting a domination statement and probability theoretic part of deriving the desired probabilistic guarantees from this statement, and it helps finding simpler and more natural proofs.
Edit intent: clarity
Original:  As particular results, we prove a fitness level theorem which shows that the runtime is dominated by a sum of independent geometric random variables, we prove  tail bounds for several classic  problems, and we give a short and natural proof for Witt's result that the runtime of any (\mu,p) mutation-based algorithm on any function with unique optimum is subdominated by the runtime of a variant of the \oea \onemax  (1+1) evolutionary algorithm on the OneMax function\leadingones  .
Revised:  As particular results, we prove a fitness level theorem which shows that the runtime is dominated by a sum of independent geometric random variables, we prove tail bounds for several classic problems, and we give a short and natural proof for Witt's result that the runtime of any (\mu,p) mutation-based algorithm on any function with unique optimum is subdominated by the runtime of a variant of the \oea on the\onemax (1+1) evolutionary algorithm on the OneMax function\leadingones .
Edit intent: fluency
Original:  As particular results, we prove a fitness level theorem which shows that the runtime is dominated by a sum of independent geometric random variables, we prove  tail bounds for several classic  problems, and we give a short and natural proof for Witt's result that the runtime of any (\mu,p) mutation-based algorithm on any function with unique optimum is subdominated by the runtime of a variant of the \oea \onemax  (1+1) evolutionary algorithm on the OneMax function\leadingones  .
Revised:  As particular results, we prove a fitness level theorem which shows that the runtime is dominated by a sum of independent geometric random variables, we prove tail bounds for several classic problems, and we give a short and natural proof for Witt's result that the runtime of any (\mu,p) mutation-based algorithm on any function with unique optimum is subdominated by the runtime of a variant of the \oea \onemax (1+1) algorithm for the\leadingones .
Edit intent: clarity
Original:  Previous efforts have demonstrated that agent-based, multi-scale modeling systems can integrate physical and biological rules and provide new avenues to study developmental systems.
Revised:  Previous efforts have shown that agent-based, multi-scale modeling systems can integrate physical and biological rules and provide new avenues to study developmental systems.
Edit intent: fluency
Original:  Recent developments in deep learning and reinforcement learning provide an unprecedented opportunity to explore cell movement using 3D time-lapse microscopy images.
Revised:  Recent developments in deep learning and reinforcement learning provide an unprecedented opportunity to explore cell movement using 3D time-lapse images.
Edit intent: clarity
Original:  We presented a deep reinforcement learning approach within an agent-based modeling system to characterize cell movement in the embryonic development of C. elegans .
Revised:  We present a deep reinforcement learning approach within an agent-based modeling system to characterize cell movement in the embryonic development of C. elegans .
Edit intent: fluency
Original:  We presented a deep reinforcement learning approach within an agent-based modeling system to characterize cell movement in the embryonic development of C. elegans .
Revised:  We presented a deep reinforcement learning approach within an ABM system to characterize cell movement in the embryonic development of C. elegans .
Edit intent: clarity
Original:  We presented a deep reinforcement learning approach within an agent-based modeling system to characterize cell movement in the embryonic development of C. elegans .
Revised:  We presented a deep reinforcement learning approach within an agent-based modeling system to characterize cell movement in C. elegans .
Edit intent: clarity
Original:  We tested our model through two scenarios within real developmental processes: the anterior movement of the Cpaaa cell via intercalation and the restoration of the superficial left-right symmetry.
Revised:  We tested our model with two real developmental processes: the anterior movement of the Cpaaa cell via intercalation and the restoration of the superficial left-right symmetry.
Edit intent: clarity
Original:  We tested our model through two scenarios within real developmental processes: the anterior movement of the Cpaaa cell via intercalation and the restoration of the superficial left-right symmetry.
Revised:  We tested our model through two scenarios within real developmental processes: the anterior movement of the Cpaaa cell via intercalation and the rearrangement of the left-right symmetry.
Edit intent: clarity
Original: The formation of pattern in biological systems may be modeled by a set of reaction-diffusion equations.
Edit intent: clarity
Original:  We are interested in the difference among behaviors of stochastic neural field equations, namely space-time stochastic differential-integral equations , and similar deterministic ones .
Revised:  We are interested in pattern formation by stochastic neural field equations, namely space-time stochastic differential-integral equations , and similar deterministic ones .
Edit intent: clarity
Original:  We are interested in the difference among behaviors of stochastic neural field equations, namely space-time stochastic differential-integral equations , and similar deterministic ones .
Revised:  We are interested in the difference among behaviors of stochastic neural field equations, a class of space-time stochastic differential-integral equations , and similar deterministic ones .
Edit intent: clarity
Original:  We find that a spatial pattern that is damped in time in a deterministic system may be sustained and amplified by stochasticity , most strikingly at an optimal spatio-temporal noise level.
Revised:  We confirm that a spatial pattern that is damped in time in a deterministic system may be sustained and amplified by stochasticity , most strikingly at an optimal spatio-temporal noise level.
Edit intent: clarity
Original: Time series measured from real spatially extended systems are generally noisy, complex and display statistical properties that evolve continuously over time.
Revised: Time series measured from real-world systems are generally noisy, complex and display statistical properties that evolve continuously over time.
Edit intent: clarity
Original:  Here, we present a method that combines wavelet analysis and non-stationary surrogates to detect  spatial coherent patterns in non- stationary multivariate time-series.
Revised:  Here, we present a method that combines wavelet analysis and non-stationary surrogates to detect spatial coherent patterns from multivari- ate time-series.
Edit intent: clarity