wanyu/IteraTeR_v2 huggingface dataset:
Original:  We show how to exploit maximum likelihood estimation and the Kolmogorov-Smirnov test to select a suitable parametric model for the distribution function.
Revised:  We show how to apply maximum likelihood estimation and the Kolmogorov-Smirnov test to select a suitable parametric model for the distribution function.
Edit intent: clarity
Original:  Our deep learning approach relies on a Siamese Convolutional Neural Networks (CNN) , transfer learning, and deep feature learning, using pairs consisting of a reference image and  compressed image for training.
Revised:  Our deep learning approach relies on a siamese convolutional neural network , transfer learning, and deep feature learning, using pairs consisting of a reference image and compressed image for training.
Edit intent: clarity
Original:  Our deep learning approach relies on a Siamese Convolutional Neural Networks (CNN) , transfer learning, and deep feature learning, using pairs consisting of a reference image and  compressed image for training.
Revised:  Our deep learning approach relies on a Siamese Convolutional Neural Networks (CNN) , transfer learning, and deep feature learning, using pairs consisting of a reference image and a compressed image for training.
Edit intent: fluency
Original:  For example, the mean Bhattacharyya distances between the predicted and ground truth first, second, and third JND distributions were 0.0810, 0.0702, and 0.0522, respectively, and the corresponding average absolute differences of the peak signal-to-noise ratio at the median of the distributions were 0.56, 0.65, and 0.53 dB .
Revised:  For example, the mean Bhattacharyya distances between the predicted and ground truth first, second, and third JND distributions were 0.0810, 0.0702, and 0.0522, respectively, and the corresponding average absolute differences of the peak signal-to-noise ratio at a median of the distributions were 0.56, 0.65, and 0.53 dB .
Edit intent: fluency
Original:  The long-range elastic interaction between dislocations is included in the continuum model, which ensures that the dislocation structures on the grain boundaries is consistent with the Frank's formula for grain boundaries.
Revised:  The long-range elastic interaction between dislocations is included in the continuum model, and it maintains a stable dislocation structure described by the Frank's formula for grain boundaries.
Edit intent: clarity
Original: Persistent Memory ( PM ), as already available  e.g.  with Intel Optane DC Persistent Memory, represents a very promising, next generation memory solution with a significant impact on database architectures.
Revised: Persistent Memory ( PM ), as already available , e.g. with Intel Optane DC Persistent Memory, represents a very promising, next generation memory solution with a significant impact on database architectures.
Edit intent: fluency
Original: Persistent Memory ( PM ), as already available  e.g.  with Intel Optane DC Persistent Memory, represents a very promising, next generation memory solution with a significant impact on database architectures.
Revised: Persistent Memory ( PM ), as already available e.g. , with Intel Optane DC Persistent Memory, represents a very promising, next generation memory solution with a significant impact on database architectures.
Edit intent: fluency
Original: Persistent Memory ( PM ), as already available  e.g.  with Intel Optane DC Persistent Memory, represents a very promising, next generation memory solution with a significant impact on database architectures.
Revised: Persistent Memory ( PM ), as already available e.g. with Intel Optane DC Persistent Memory, represents a very promising, next-generation memory solution with a significant impact on database architectures.
Edit intent: fluency
Original:  However, primarily merely complete structures were presented and evaluated hiding the impact of the individual ideas and PM characteristics .
Revised:  However, primarily only complete structures are presented and evaluated hiding the impact of the individual ideas and PM characteristics .
Edit intent: clarity
Original:  However, primarily merely complete structures were presented and evaluated hiding the impact of the individual ideas and PM characteristics .
Revised:  However, primarily merely complete structures were presented and evaluated . Thus, the implications of the individual ideas and PM characteristics .
Edit intent: coherence
Original:  However, primarily merely complete structures were presented and evaluated hiding the impact of the individual ideas and PM characteristics .
Revised:  However, primarily merely complete structures were presented and evaluated hiding the impact of the individual ideas and PMem features are concealed .
Edit intent: clarity
Original:  Therefore, in this paper, we disassemble the structures presented so far, identify their underlying design primitives, and assign them to appropriate design goals regarding PM . As a result of our comprehensive experiments on real PM hardware, we were able to reveal the trade-offs of the primitives at the micro level.
Revised:  Therefore, in this paper, we disassemble the structures presented so far, identify their underlying design primitives, and assign them to appropriate design goals regarding PMem . As a result of our comprehensive experiments on real PM hardware, we were able to reveal the trade-offs of the primitives at the micro level.
Edit intent: clarity
Original:  Therefore, in this paper, we disassemble the structures presented so far, identify their underlying design primitives, and assign them to appropriate design goals regarding PM . As a result of our comprehensive experiments on real PM hardware, we were able to reveal the trade-offs of the primitives at the micro level.
Revised:  Therefore, in this paper, we disassemble the structures presented so far, identify their underlying design primitives, and assign them to appropriate design goals regarding PM . As a result of our comprehensive experiments on real PM hardware, we can reveal the trade-offs of the primitives at the micro level.
Edit intent: coherence
Original:  Beside our general insights regarding PM-based data structure design, we also discovered new promising combinations not considered in the literature so far.
Revised:  Besides our general insights regarding PM-based data structure design, we also discovered new promising combinations not considered in the literature so far.
Edit intent: fluency
Original:  Beside our general insights regarding PM-based data structure design, we also discovered new promising combinations not considered in the literature so far.
Revised:  Beside our general insights regarding PMem-based data structure design, we also discovered new promising combinations not considered in the literature so far.
Edit intent: fluency
Original:  Beside our general insights regarding PM-based data structure design, we also discovered new promising combinations not considered in the literature so far.
Revised:  Beside our general insights regarding PM-based data structure design, we also discovered new combinations not examined in the literature so far.
Edit intent: clarity
Original:  The effect of changing neighborhood socio-demographics on bus ridership are modeled using Longitudinal Employer Household Dynamics data.
Revised:  The effect of changing neighborhood demographics on bus ridership are modeled using Longitudinal Employer Household Dynamics data.
Edit intent: clarity
Original:  The effect of changing neighborhood socio-demographics on bus ridership are modeled using Longitudinal Employer Household Dynamics data.
Revised:  The effect of changing neighborhood socio-demographics on bus ridership are modeled using Longitudinal Employer-Household Dynamics data.
Edit intent: fluency
Original:  Shifts in neighborhood socio-demographics, however, were found to be modest in most cities and unlikely to be causing the nation-wide ridership crisis.
Revised:  Shifts in neighborhood socio-demographics, however, were found to be modest and unlikely to be causing the nation-wide ridership crisis.
Edit intent: clarity
Original:  In Miami , the increasing proportion of white residents surrounding bus stops could be a factor aggravating the decline .
Revised:  Only in Miami is the proportion of white residents surrounding bus stops could be a factor aggravating the decline .
Edit intent: clarity
Original:  In Miami , the increasing proportion of white residents surrounding bus stops could be a factor aggravating the decline .
Revised:  In Miami , the increasing proportion of white residents near the most frequent parts of the bus network increasing. There, demographic shifts may be contributing to the overall decline in bus ridership .
Edit intent: clarity
Original:  While controlling for  change in frequency, jobs, and population, the correlation with local socio-demographic characteristics are investigated using data from the American Community Survey.
Revised:  While controlling for the change in frequency, jobs, and population, the correlation with local socio-demographic characteristics are investigated using data from the American Community Survey.
Edit intent: fluency
Original:  Here, we examine and explain some non-straight-line walking phenomena from an energy minimization perspective.
Revised:  Here, we show that many non-straight-line walking phenomena from an energy minimization perspective.
Edit intent: clarity
Original:  Using human subject experiments, we show that the metabolic rate while walking in circles increases with decreasing radius for fixed speed.
Revised:  Using human subject experiments, we show that the metabolic rate of walking increases with decreasing radius for fixed speed.
Edit intent: clarity
Original: Everyday human locomotion requires changing directions and turning.
Revised: Navigating our physical environment requires changing directions and turning.
Edit intent: clarity
Original:  However, while straight-line walking behavior is approximately explained by energy minimization, we do not yet have a unified theoretical account of non-straight-line (i. e., curvilinear) locomotion, despite its ecological importance.
Revised:  Despite its ecological importance, we do not yet have a unified theoretical account of non-straight-line (i. e., curvilinear) locomotion, despite its ecological importance.
Edit intent: clarity
Original:  However, while straight-line walking behavior is approximately explained by energy minimization, we do not yet have a unified theoretical account of non-straight-line (i. e., curvilinear) locomotion, despite its ecological importance.
Revised:  However, while straight-line walking behavior is approximately explained by energy minimization, we do not have a unified theoretical account of non-straight-line (i. e., curvilinear) locomotion, despite its ecological importance.
Edit intent: coherence
Original:  However, while straight-line walking behavior is approximately explained by energy minimization, we do not yet have a unified theoretical account of non-straight-line (i. e., curvilinear) locomotion, despite its ecological importance.
Revised:  However, while straight-line walking behavior is approximately explained by energy minimization, we do not yet have a unified theoretical account of non-straight-line human movement.
Edit intent: clarity
Original:  We then used this metabolic cost to mathematically predict energy-optimal movement patterns for five tasks of varying complexity: walking in circles , turning in place, walking through an angled corridor, walking freely from point to point while having to turn, and walking through doors while maneuvering around obstacles.
Revised:  We then used this metabolic cost to mathematically predict energy-optimal movement patterns for five tasks of varying complexity: walking in circles , turning in place, navigating an angled corridor, walking freely from point to point while having to turn, and walking through doors while maneuvering around obstacles.
Edit intent: clarity
Original:  We then used this metabolic cost to mathematically predict energy-optimal movement patterns for five tasks of varying complexity: walking in circles , turning in place, walking through an angled corridor, walking freely from point to point while having to turn, and walking through doors while maneuvering around obstacles.
Revised:  We then used this metabolic cost to mathematically predict energy-optimal movement patterns for five tasks of varying complexity: walking in circles , turning in place, walking through an angled corridor, navigating freely with end-point constraints, walking through doors while maneuvering around obstacles.
Edit intent: clarity
Original:  We then used this metabolic cost to mathematically predict energy-optimal movement patterns for five tasks of varying complexity: walking in circles , turning in place, walking through an angled corridor, walking freely from point to point while having to turn, and walking through doors while maneuvering around obstacles.
Revised:  We then used this metabolic cost to mathematically predict energy-optimal movement patterns for five tasks of varying complexity: walking in circles , turning in place, walking through an angled corridor, walking freely from point to point while having to turn, and walking through doors , and navigating around obstacles.
Edit intent: clarity
Original:  Thus, we provide a unified theoretical account that predicts diverse curvilinear locomotor phenomena .
Revised:  Thus, we have obtained a unified theoretical account that predicts diverse curvilinear locomotor phenomena .
Edit intent: clarity
Original:  We obtain analogous results for the nondeterministic case by extending a result of Champarnaud and Pin, who proved that the maximal deterministic state complexity of a set of binary words of length n is%DIFDELCMD < \[ %DIFDELCMD < i=0^n\min(2^i,2^{2^{n-i}}-1).
Revised:  We obtain analogous results for the nondeterministic case by extending a result of Champarnaud and Pin, who proved that the maximal deterministic state complexity of a set of binary words of length n %DIFDELCMD < \[ %DIFDELCMD < i=0^n\min(2^i,2^{2^{n-i}}-1).
Edit intent: fluency
Original:  Then, we study two different types of applications: (weighted) summation and histogram estimation , and derive the optimal context-aware data perturbation parameters for each case, based on randomized response type of mechanism.
Revised:  Then, we study two different types of applications: (weighted) summation and histogram estimation and derive the optimal context-aware data perturbation parameters for each case, based on randomized response type of mechanism.
Edit intent: fluency
Original: The induced odd cycle packing number \text{iocp (G) of a graph G is the maximum integer k such that G contains an induced subgraph consisting of k pairwise vertex-disjoint odd cycles.
Revised: The \text{iocp (G) of a graph G is the maximum integer k such that G contains an induced subgraph consisting of k pairwise vertex-disjoint odd cycles.
Edit intent: clarity
Original:  [Phys. Rev. Lett. 113, 268105 (2014)] , has been exactly solved in steady-state conditions under the implicit assumption that protein numbers are sufficiently large such that fluctuations in protein numbers due to reversible protein-promoter binding can be ignored.
Revised:  [Phys. Rev. Lett. 113, 268105 (2014)] has been exactly solved in steady-state conditions under the implicit assumption that protein numbers are sufficiently large such that fluctuations in protein numbers due to reversible protein-promoter binding can be ignored.
Edit intent: fluency
Original: We deal with the problem of sparsity-based audio inpainting .
Revised: We deal with the problem of sparsity-based audio inpainting , i.e. filling in the missing segments of audio.
Edit intent: clarity
Original:  A consequence of optimization approaches is actually the insufficient energy of the signal within the filled gap.
Revised:  A consequence of the approaches based on mathematical optimization is the insufficient amplitude of the signal within the filled gap.
Edit intent: clarity
Original:  We propose improvements to the audio inpainting framework based on sparsity and convex optimization,  aiming at compensating for this energy loss.
Revised:  We propose improvements to the audio inpainting framework based on sparsity and convex optimization, we propose improvements to audio inpainting, aiming at compensating for this energy loss.
Edit intent: fluency
Original:  We propose improvements to the audio inpainting framework based on sparsity and convex optimization,  aiming at compensating for this energy loss.
Revised:  We propose improvements to the audio inpainting framework based on sparsity and convex optimization, aiming at compensating for such an energy loss.
Edit intent: clarity
Original:  We show that our propositions improve the inpainting performance both in terms of  the SNR and ODG . However, the autoregressive Janssen algorithm remains a strong competitor .
Revised:  We show that our propositions improve the inpainting performance in terms of the SNR and ODG . However, the autoregressive Janssen algorithm remains a strong competitor .
Edit intent: clarity
Original:  We show that our propositions improve the inpainting performance both in terms of  the SNR and ODG . However, the autoregressive Janssen algorithm remains a strong competitor .
Revised:  We show that our propositions improve the inpainting performance both in terms of both the SNR and ODG . However, the autoregressive Janssen algorithm remains a strong competitor .
Edit intent: fluency
Original:  We show that our propositions improve the inpainting performance both in terms of  the SNR and ODG . However, the autoregressive Janssen algorithm remains a strong competitor .
Revised:  We show that our propositions improve the inpainting performance both in terms of the SNR and ODG .
Edit intent: coherence
Original:  The I-ADMM is designed so that the accuracy of the inexact iteration preserves the global convergence rates of the exact iteration, leading to better  performance in the test problems.
Revised:  The I-ADMM is designed so that the accuracy of the inexact iteration preserves the global convergence rates of the exact iteration, leading to better numerical performance in the test problems.
Edit intent: clarity
Original:  To address that need, our work considers a polling system with generic setting and for the first time provides the worst case analysis for online scheduling policies in this system.
Revised:  To address that need, our work considers a polling system with generic setting and for the first time provides the worst-case analysis for online scheduling policies in this system.
Edit intent: fluency
Original: Seeing is believing and consequently, microscopies have become pillars of our characterization tools to observe biological systems and assemblies.
Revised: Microscopies have become pillars of our characterization tools to observe biological systems and assemblies.
Edit intent: coherence
Original: Free-hand sketches are highly hieroglyphic and illustrative, which have been widely used by humans to depict objects or stories from ancient times to the present.
Revised: Free-hand sketches are highly illustrative, and have been widely used by humans to depict objects or stories from ancient times to the present.
Edit intent: coherence
Original:  The recent prevalence of touchscreen devices has made sketch creation a much easier task than ever and consequently made sketch-oriented applications increasingly more popular.
Revised:  The recent prevalence of touchscreen devices has made sketch creation a much easier task than ever and consequently made sketch-oriented applications increasingly popular.
Edit intent: fluency
Original:  The prosperity of deep learning has also immensely promoted the research for the free-hand sketch  .
Revised:  The progress of deep learning has also immensely promoted the research for the free-hand sketch .
Edit intent: clarity
Original:  The prosperity of deep learning has also immensely promoted the research for the free-hand sketch  .
Revised:  The prosperity of deep learning has immensely benefited free-hand sketch .
Edit intent: clarity
Original:  This paper presents a comprehensive survey of the free-hand sketch oriented deep learning techniques  .
Revised:  This paper presents a comprehensive survey of the deep learning techniques .
Edit intent: clarity
Original:  (i) The intrinsic traits and domain-unique challenges of the free-hand sketch are discussed, to clarify the essential differences between free-hand sketch and other data modalities, e.g., natural photo . (ii)
Revised:  (i) A discussion of the intrinsic traits and domain-unique challenges of the free-hand sketch are discussed, to clarify the essential differences between free-hand sketch and other data modalities, e.g., natural photo . (ii)
Edit intent: fluency
Original:  (i) The intrinsic traits and domain-unique challenges of the free-hand sketch are discussed, to clarify the essential differences between free-hand sketch and other data modalities, e.g., natural photo . (ii)
Revised:  (i) The intrinsic traits and unique challenges of free-hand sketch are discussed, to clarify the essential differences between free-hand sketch and other data modalities, e.g., natural photo . (ii)
Edit intent: clarity
Original:  (i) The intrinsic traits and domain-unique challenges of the free-hand sketch are discussed, to clarify the essential differences between free-hand sketch and other data modalities, e.g., natural photo . (ii)
Revised:  (i) The intrinsic traits and domain-unique challenges of the free-hand sketch , to highlight the essential differences between free-hand sketch and other data modalities, e.g., natural photo . (ii)
Edit intent: clarity
Original:  (i) The intrinsic traits and domain-unique challenges of the free-hand sketch are discussed, to clarify the essential differences between free-hand sketch and other data modalities, e.g., natural photo . (ii)
Revised:  (i) The intrinsic traits and domain-unique challenges of the free-hand sketch are discussed, to clarify the essential differences between sketch data and other data modalities, e.g., natural photo . (ii)
Edit intent: clarity
Original:  (i) The intrinsic traits and domain-unique challenges of the free-hand sketch are discussed, to clarify the essential differences between free-hand sketch and other data modalities, e.g., natural photo . (ii)
Revised:  (i) The intrinsic traits and domain-unique challenges of the free-hand sketch are discussed, to clarify the essential differences between free-hand sketch and other data modalities, e.g., natural photos . (ii)
Edit intent: fluency
Original:  The development of the free-hand sketch community in the deep learning era is reviewed , by surveying the existing datasets, research topics, and the state-of-the-art methods via a detailed taxonomy  . (iii) Moreover, the bottlenecks, open problems, and potential research directions of this communityhave also been discussed to promote the future works.
Revised:  A review of the developments of free-hand sketch community in the deep learning era is reviewed , by surveying the existing datasets, research topics, and the state-of-the-art methods via a detailed taxonomy . (iii) Moreover, the bottlenecks, open problems, and potential research directions of this communityhave also been discussed to promote the future works.
Edit intent: clarity
Original:  The development of the free-hand sketch community in the deep learning era is reviewed , by surveying the existing datasets, research topics, and the state-of-the-art methods via a detailed taxonomy  . (iii) Moreover, the bottlenecks, open problems, and potential research directions of this communityhave also been discussed to promote the future works.
Revised:  The development of the free-hand sketch research in the deep learning era is reviewed , by surveying the existing datasets, research topics, and the state-of-the-art methods via a detailed taxonomy . (iii) Moreover, the bottlenecks, open problems, and potential research directions of this communityhave also been discussed to promote the future works.
Edit intent: clarity