wanyu/IteraTeR_v2 huggingface dataset:
Original: A compartmental epidemic model based on genetic fitting algorithm and using cross-validation method to overcome the overfitting problem is proposed.
Revised: A compartmental epidemic model based on genetic fitting algorithm and a cross-validation method to overcome the overfitting problem is proposed.
Edit intent: fluency
Original: A compartmental epidemic model based on genetic fitting algorithm and using cross-validation method to overcome the overfitting problem is proposed.
Revised: A compartmental epidemic model based on genetic fitting algorithm and using cross-validation method to overcome the overfitting problem are proposed.
Edit intent: fluency
Original:   Basic reproduction number on Feb. 25th is estimated to 3.78 (95\% CI 3.033-4.53) and effective reproduction number on May 24th after three months of the outbreak is estimated to 0.651 (95\% CI 0.539-0.761).
Revised:  The Basic reproduction number on Feb. 25th is estimated to 3.78 (95\% CI 3.033-4.53) and effective reproduction number on May 24th after three months of the outbreak is estimated to 0.651 (95\% CI 0.539-0.761).
Edit intent: fluency
Original:   Basic reproduction number on Feb. 25th is estimated to 3.78 (95\% CI 3.033-4.53) and effective reproduction number on May 24th after three months of the outbreak is estimated to 0.651 (95\% CI 0.539-0.761).
Revised:  Basic reproduction number is estimated to 3.78 (95\% CI 3.033-4.53) and effective reproduction number on May 24th after three months of the outbreak is estimated to 0.651 (95\% CI 0.539-0.761).
Edit intent: coherence
Original:  Infection peak time is predicted to the end of April while active cases peak time is predicted to the end of May 2020.
Revised:  The Infections peak time is predicted to the end of April while active cases peak time is predicted to the end of May 2020.
Edit intent: fluency
Original: A compartmental epidemic model based on genetic fitting algorithm and a cross-validation method to overcome the overfitting problem are proposed.
Revised: A dynamical epidemic model optimized using genetic algorithm and cross validation method to overcome the overfitting problem are proposed.
Edit intent: clarity
Original:  The model is used to study COVID-19 outbreak dynamics in Algeria between February 25th and May 24th .
Revised:  The model is employed to study the COVID-19 outbreak dynamics in Algeria between February 25th and May 24th .
Edit intent: fluency
Original:  The Basic reproduction number is estimated to 3.78 (95\% CI 3.033-4.53) and effective reproduction number on May 24th  after three months of the outbreak is estimated to 0.651 (95\% CI 0.539-0.761) .
Revised:  The Basic reproduction number is estimated to 3.78 (95\% CI 3.033-4.53) and effective reproduction number on May 24th , after three months of the outbreak is estimated to 0.651 (95\% CI 0.539-0.761) .
Edit intent: fluency
Original:  Already in the late 60ies and during 70ies , clear diagnostic and prognostic benefits from intrapartum fEEG monitoring were reported, but until today, this monitoring technology has remained a scientific Orchidee .
Revised:  Already in the late 60ies and during 70ies , clear diagnostic and prognostic benefits from intrapartum fEEG monitoring were reported, but until today, this monitoring technology has remained a curiosity .
Edit intent: clarity
Original:  Objectives: Our goal was to review the studies reporting the use of this technology including the insights from interpreting fEEG patterns in response to uterine contractions during labor.
Revised:  Objectives: Our goal was to review the studies reporting the use of fEEG including the insights from interpreting fEEG patterns in response to uterine contractions during labor.
Edit intent: clarity
Original:  We also used the most relevant information gathered from clinical studies to provide recommendations for successful enrollment in the unique environment of a labor and delivery unit.
Revised:  We also used the most relevant information gathered from clinical studies to provide recommendations for enrollment in the unique environment of a labor and delivery unit.
Edit intent: clarity
Original:  Because the landscape of fEEG research has been international, we included studies in English, French, German, and Russian.
Edit intent: coherence
Original:  Eligibility criteria: The following key-word were used : ("fetus"
Revised:  Eligibility criteria: The search strategy was : ("fetus"
Edit intent: clarity
Original: [MeSH Terms])  Results: From 256 screened studies, 40 studies were ultimately included in the quantitative analysis.
Revised: [MeSH Terms]) Results: From 256 screened studies, 40 studies were ultimately included in the qualitative analysis.
Edit intent: fluency
Original: We present PNKH-B, a projected Newton-Krylov method with a low-rank approximated Hessian metric for approximately solving large-scale optimization problems with bound constraints.
Revised: We present PNKH-B, a projected Newton-Krylov method for iteratively solving large-scale optimization problems with bound constraints.
Edit intent: clarity
Original:  The key idea is to compute the projection with respect to the norm defined by the low-rank approximation .
Revised:  The key feature of the metric is its consistency with the low-rank approximation .
Edit intent: clarity
Original:  Hence, PNKH-B can be viewed as a projected variable metric method.
Revised:  Hence, PNKH-B similar to a projected variable metric method.
Edit intent: clarity
Original: Using a coarse-grained protein model, a molecular dynamics (MD) simulation of folding of one of the benchmark two-state folders, a beta-hairpin protein, has been performed.
Revised: Using a beta-hairpin protein as a representative example of two-state folders, a beta-hairpin protein, has been performed.
Edit intent: clarity
Original:  It has been found that the distributions of first-passage times (FPTs) for both segments of the trajectories are essentially single-exponential  .
Revised:  It has been found that the first-passage times (FPTs) for both segments of the trajectories are essentially single-exponential .
Edit intent: clarity
Original:  It has been found that the distributions of first-passage times (FPTs) for both segments of the trajectories are essentially single-exponential  .
Revised:  It has been found that the distributions of first-passage time (FPT) distributions are essentially single-exponential .
Edit intent: clarity
Original:  As diverse communities share and connect their components and data, governance could come to occur as a ubiquitous network layer.
Revised:  As diverse communities share and connect their components and data, governance could occur through a ubiquitous network layer.
Edit intent: clarity
Original: The question whether P = NP revolves around the discrepancy between active production and mere verification by Turing machines.
Revised: The question whether P equals NP revolves around the discrepancy between active production and mere verification by Turing machines.
Edit intent: clarity
Original:  Every nondeterministic finite transducer defines a binary relation associating input words with output words that are computed and accepted by the transducer .
Revised:  Every nondeterministic finite transducer defines a binary relation associating each input word with all output words that are computed and accepted by the transducer .
Edit intent: clarity
Original:  Functional transducers are those for which the relation is a function .
Revised:  Functional transducers are those for which there is a finite upper bound on the number of output words that the relation associates with every input word .
Edit intent: clarity
Original: As RAM is becoming cheaper and growing abundant, it is time to revisit the design of persistent key-value storage systems.
Edit intent: coherence
Original:  This paper introduces a new design called "lazy-trie" to index the persistent storage, a variant of the hash-trie data structure , optimized to cache entirely in memory.
Revised:  This paper introduces a new design called "lazy-trie" is a variant of the hash-trie data structure , optimized to cache entirely in memory.
Edit intent: clarity
Original:  A lazy-trie achieves near-optimal height and has practical storage overhead, but does not support range queries .
Revised:  A lazy-trie achieves near-optimal height , has practical storage overhead, but does not support range queries .
Edit intent: coherence
Original: With the recent advances in voice synthesis such as WaveNet, AI-synthesized fake voices are indistinguishable to human ears and widely applied for producing realistic and natural DeepFakes which are real threats to everyone.
Revised: With the recent advances in voice synthesis such as WaveNet, AI-synthesized fake voices are indistinguishable to human ears and widely applied to producing realistic and natural DeepFakes which are real threats to everyone.
Edit intent: fluency
Original:  Layer-wise neuron behaviors provide an important insight to hunt the differences among inputs, which are widely employed for building safety, robust and interpretable DNNs.
Revised:  Layer-wise neuron behaviors provide an important insight to meticulously catch the differences among inputs, which are widely employed for building safety, robust and interpretable DNNs.
Edit intent: clarity
Original:  Experiments are conducted in three datasets (including commercial products from Google, Baidu, etc . ) containing both English and Chinese languages to corroborate the high detection rates (98.1\% average accuracy) and low false alarm rates (0.02 equal error rate) of DeepSonar in discerning fake voices.
Revised:  Experiments are conducted in three datasets (including commercial products from Google, Baidu, etc ) containing both English and Chinese languages to corroborate the high detection rates (98.1\% average accuracy) and low false alarm rates (0.02 equal error rate) of DeepSonar in discerning fake voices.
Edit intent: fluency
Original: With the recent advances in voice synthesis such as WaveNet , AI-synthesized fake voices are indistinguishable to human ears and widely applied to producing realistic and natural DeepFakes which are real threats to everyone .
Revised: With the recent advances in voice synthesis , AI-synthesized fake voices are indistinguishable to human ears and widely applied to producing realistic and natural DeepFakes which are real threats to everyone .
Edit intent: coherence
Original: With the recent advances in voice synthesis such as WaveNet , AI-synthesized fake voices are indistinguishable to human ears and widely applied to producing realistic and natural DeepFakes which are real threats to everyone .
Revised: With the recent advances in voice synthesis such as WaveNet , AI-synthesized fake voices are indistinguishable to human ears and widely are applied to produce realistic and natural DeepFakes which are real threats to everyone .
Edit intent: clarity
Original: With the recent advances in voice synthesis such as WaveNet , AI-synthesized fake voices are indistinguishable to human ears and widely applied to producing realistic and natural DeepFakes which are real threats to everyone .
Revised: With the recent advances in voice synthesis such as WaveNet , AI-synthesized fake voices are indistinguishable to human ears and widely applied to producing realistic and natural DeepFakes , exhibiting real threats to everyone .
Edit intent: coherence
Original: With the recent advances in voice synthesis such as WaveNet , AI-synthesized fake voices are indistinguishable to human ears and widely applied to producing realistic and natural DeepFakes which are real threats to everyone .
Revised: With the recent advances in voice synthesis such as WaveNet , AI-synthesized fake voices are indistinguishable to human ears and widely applied to producing realistic and natural DeepFakes which are real threats to our society .
Edit intent: clarity
Original:  In this paper, we devise a novel approach, named DeepSonar , based on monitoring neuron behaviors of speaker recognition (SR) system, \ie a deep neural network (DNN), to discern AI-synthesized fake voices.
Revised:  In this paper, we devise a novel approach, named DeepSonar , based on monitoring neuron behaviors of speaker recognition (SR) system, \ie a deep neural network (DNN), to discern AI-synthesized fake voices.
Edit intent: fluency
Original:  In this paper, we devise a novel approach, named DeepSonar , based on monitoring neuron behaviors of speaker recognition (SR) system, \ie a deep neural network (DNN), to discern AI-synthesized fake voices.
Revised:  In this paper, we devise a novel approach, named DeepSonar , based on monitoring neuron behaviors of speaker recognition (SR) system, \ie, a deep neural network (DNN), to discern AI-synthesized fake voices.
Edit intent: fluency
Original:  Layer-wise neuron behaviors provide an important insight to meticulously catch the differences among inputs, which are widely employed for building safety, robust  and interpretable DNNs.
Revised:  Layer-wise neuron behaviors provide an important insight to meticulously catch the differences among inputs, which are widely employed for building safety, robust , and interpretable DNNs.
Edit intent: fluency
Original:  In this work, we leverage the power of layer-wise neuron activation patterns with a conjecture that they can capture the subtle differences between real and AI-synthesized fake voices and provide a cleaner signal to classifiers than raw inputs.
Revised:  In this work, we leverage the power of layer-wise neuron activation patterns with a conjecture that they can capture the subtle differences between real and AI-synthesized fake voices , in providing a cleaner signal to classifiers than raw inputs.
Edit intent: coherence
Original:  Experiments are conducted in three datasets (including commercial products from Google, Baidu, etc \etc ) containing both English and Chinese languages to corroborate the high detection rates (98.1 \% average accuracy) and low false \\%DIF > average accuracy) and low false alarm rates ( 0.02 equal error rate) of DeepSonar in discerning fake voices.
Revised:  Experiments are conducted on three datasets (including commercial products from Google, Baidu, etc \etc ) containing both English and Chinese languages to corroborate the high detection rates (98.1 \% average accuracy) and low false \\%DIF > average accuracy) and low false alarm rates ( 0.02 equal error rate) of DeepSonar in discerning fake voices.
Edit intent: fluency
Original:  Experiments are conducted in three datasets (including commercial products from Google, Baidu, etc \etc ) containing both English and Chinese languages to corroborate the high detection rates (98.1 \% average accuracy) and low false \\%DIF > average accuracy) and low false alarm rates ( 0.02 equal error rate) of DeepSonar in discerning fake voices.
Revised:  Experiments are conducted in three datasets (including commercial products from Google, Baidu, \etc ) containing both English and Chinese languages to corroborate the high detection rates (98.1 \% average accuracy) and low false \\%DIF > average accuracy) and low false alarm rates ( 0.02 equal error rate) of DeepSonar in discerning fake voices.
Edit intent: coherence
Original:  Experiments are conducted in three datasets (including commercial products from Google, Baidu, etc \etc ) containing both English and Chinese languages to corroborate the high detection rates (98.1 \% average accuracy) and low false \\%DIF > average accuracy) and low false alarm rates ( 0.02 equal error rate) of DeepSonar in discerning fake voices.
Revised:  Experiments are conducted in three datasets (including commercial products from Google, Baidu, etc \etc ) containing both English and Chinese languages to corroborate the high detection rates (98.1 \\%DIF > average accuracy) and low false alarm rates ( 0.02 equal error rate) of DeepSonar in discerning fake voices.
Edit intent: fluency
Original:  Furthermore, extensive experiment results show its robustness against manipulation attacks ( e.g. \eg , voice conversion and additive real-world noises).
Revised:  Furthermore, extensive experimental results also demonstrate its robustness against manipulation attacks ( e.g. \eg , voice conversion and additive real-world noises).
Edit intent: clarity
Original:  Furthermore, extensive experiment results show its robustness against manipulation attacks ( e.g. \eg , voice conversion and additive real-world noises).
Revised:  Furthermore, extensive experiment results show its robustness against manipulation attacks ( \eg , voice conversion and additive real-world noises).
Edit intent: coherence
Original:  Our work also poses a new insight into adopting neuron behaviors for effective and robust AI aided multimedia fakes forensics as an inside-out approach instead of being motivated and swayed by various artifacts introduced in  fakes.
Revised:  Our work further poses a new insight into adopting neuron behaviors for effective and robust AI aided multimedia fakes forensics as an inside-out approach instead of being motivated and swayed by various artifacts introduced in fakes.
Edit intent: clarity
Original:  The results are extensible for other quasi-reversible queues for which sojourn time distributions are known, such as M/M/c FCFS queues and processor-sharing queues.
Edit intent: coherence
Original:  The latest estimates show that a 1\% increase in population associates with a 0.14\% reduction in the case fatality rate of COVID-19;
Revised:  The latest estimates show that a 1\% rise in population is associated with a 0.14\% reduction in the case fatality rate of COVID-19;
Edit intent: fluency
Original:  however, these growth rates tend to decrease in large cities and to increase in small ones during the long-term course of the pandemic .
Revised:  however, these growth rates tend to decrease in large cities and to increase in small ones over time .
Edit intent: clarity
Original:  Finally, extensive numerical experimentsillustrate the performance of the proposed numerical scheme .
Revised:  These properties are illustrated with numerical experiments .
Edit intent: clarity
Original: Statistical independence and conditional independence are the fundemental concepts in statistics and machine learning.
Revised: Statistical independence and conditional independence are two fundamental concepts in statistics and machine learning.
Edit intent: clarity
Original:  Copula Entropy is a mathematical concept  for multivariate statistical independence measuring and testing, and also  closely related to conditional independence or transfer entropy.
Revised:  Copula Entropy is a mathematical concept for multivariate statistical independence measuring and testing, and also proved to be closely related to conditional independence or transfer entropy.
Edit intent: coherence
Original:  Copula entropy was proposed to be estimated nonparametrically with rank statistic and the kNN method for estimating entropy. copent , is a R package which implements this proposed method for estimating copula entropy.
Revised:  The method for estimating copula entropy nonparametrically with rank statistic and the kNN method for estimating entropy. copent , is a R package which implements this proposed method for estimating copula entropy.
Edit intent: clarity
Original:  Two illustration examples with simulated data and real-world data on  causal discovery are also presented  .
Revised:  Three examples with simulated data and real-world data on causal discovery are also presented .
Edit intent: clarity
Original:  Copula Entropy is a mathematical concept defined by Ma and Sun for multivariate statistical independence measuring and testing, and also proved to be closely related to conditional independence  or transfer entropy  .
Revised:  Copula Entropy is a mathematical concept defined by Ma and Sun for multivariate statistical independence measuring and testing, and also proved to be closely related to conditional independence ( or transfer entropy .
Edit intent: fluency
Original:  Copula Entropy is a mathematical concept defined by Ma and Sun for multivariate statistical independence measuring and testing, and also proved to be closely related to conditional independence  or transfer entropy  .
Revised:  Copula Entropy is a mathematical concept defined by Ma and Sun for multivariate statistical independence measuring and testing, and also proved to be closely related to conditional independence or transfer entropy ) .
Edit intent: fluency
Original:  As the unified framework for measuring both independence and causality, it has been applied to solve several related statistical or machine learning problems, including association discovery, structure learning, variable selection, and causal discovery.
Revised:  As the unified framework for measuring both independence and causality, CE has been applied to solve several related statistical or machine learning problems, including association discovery, structure learning, variable selection, and causal discovery.
Edit intent: clarity
Original:  The method for estimating copula entropy nonparametrically with rank statistic and the kNN method was also proposed . copent is a R package which implements this proposed method for estimating copula entropy  .
Revised:  The nonparametric methods for estimating copula entropy nonparametrically with rank statistic and the kNN method was also proposed . copent is a R package which implements this proposed method for estimating copula entropy .
Edit intent: clarity
Original:  The method for estimating copula entropy nonparametrically with rank statistic and the kNN method was also proposed . copent is a R package which implements this proposed method for estimating copula entropy  .
Revised:  The method for estimating copula entropy nonparametrically with rank statistic and the kNN method was also proposed . copent is a R package which implements these proposed methods for estimating copula entropy .
Edit intent: fluency
Original:  The implementation detail of the package is presented in this paper .
Revised:  The implementation detail of the package is introduced .
Edit intent: clarity
Original:  The proposed methods are evaluated for two simulated phantoms and we compare  obtained results to a separate low-rank reconstruction and subsequent decomposition approach based on the widely used principal component analysis.
Revised:  The proposed methods are evaluated for two simulated phantoms and we compare the obtained results to a separate low-rank reconstruction and subsequent decomposition approach based on the widely used principal component analysis.
Edit intent: fluency
Original:  To the best of our knowledge, we are the first to propose and implement Ethereum user profiling techniques based on user quasi-identifiers.
Revised:  To the best of our knowledge, we are the first to propose and implement Ethereum user profiling techniques based on quasi-identifiers.
Edit intent: fluency
Original:  for instance, that the order of months in the Lunar calendar is Corner \precApricot \precPeach , and so on.
Revised:  for instance, that the order of months in the Lunar calendar is \precApricot \precPeach , and so on.
Edit intent: fluency
Original:  for instance, that the order of months in the Lunar calendar is Corner \precApricot \precPeach , and so on.
Revised:  for instance, that the order of months in the Lunar calendar is Corner Apricot \precPeach , and so on.
Edit intent: fluency
Original:  for instance, that the order of months in the Lunar calendar is Corner \precApricot \precPeach , and so on.
Revised:  for instance, that the order of months in the Lunar calendar is Corner \precApricot Peach , and so on.
Edit intent: fluency
Original:  Nevertheless, we show that the general case can be still handled by a SAT solver.
Revised:  Nevertheless, we show that the general case can be effectively handled by a SAT solver.
Edit intent: clarity
Original:  Finally, we implement our solutions in an attribute-lattice discovery framework, and we perform an experimental evaluation using real-world datasets.
Revised:  Finally, we report on the results of an experimental evaluation using real-world datasets.
Edit intent: clarity