wanyu/IteraTeR_v2 huggingface dataset:
Original:  It is possible to switch to block values, or use a mixed precision solution, which results in up to 4 times speedup, and reduces the memory footprint of the algorithm by about 40\\%DIF < . We evaluate both monolithic and composite preconditioning %DIF > . We evaluate both monolithic and composite preconditioning strategies for the 3 benchmark problems.
Revised:  It is possible to switch to block values, or use a mixed precision solution, which results in up to 4 times speedup, and reduces the memory footprint of the algorithm by about 40\\%DIF < . We evaluate both monolithic and composite %DIF > . We evaluate both monolithic and composite preconditioning strategies for the 3 benchmark problems.
Edit intent: clarity
Original:  In this paper  we perform run-time analysis and show that Generic Dijkstra running time grows quadratically with the number of graph vertices and logarithmically with the number of edge units.
Revised:  In this paper , we perform run-time analysis and show that Generic Dijkstra running time grows quadratically with the number of graph vertices and logarithmically with the number of edge units.
Edit intent: fluency
Original:  We also discover that the running time of the Generic Dijkstra algorithm in  function of network utilization is not monotonic - peak running time is at approximately 0.25 network utilization.
Revised:  We also discover that the running time of the Generic Dijkstra algorithm in the function of network utilization is not monotonic - peak running time is at approximately 0.25 network utilization.
Edit intent: fluency
Original:  We also discover that the running time of the Generic Dijkstra algorithm in  function of network utilization is not monotonic - peak running time is at approximately 0.25 network utilization.
Revised:  We also discover that the running time of the Generic Dijkstra algorithm in function of network utilization is not monotonic , as peak running time is at approximately 0.25 network utilization.
Edit intent: coherence
Original:  This is the first complexity analysis of Generic Dijkstra algorithm.
Edit intent: coherence
Original:  We confirm  correctness of the algorithm and its superior performance.
Revised:  We confirm the correctness of the algorithm and its superior performance.
Edit intent: fluency
Original:  In 95 \% of calls Generic Dijkstra is faster than Filtered Graphs .
Revised:  In 95 \% of calls its computation takes less time .
Edit intent: clarity
Original:  This answers a question of Bre \v{s , Hartinger, Kos, and Milani \v{c from 2018 , and one of Beisegel, Chudnovsky, Gurvich, Milani \v{c , and Servatius from 2019, respectively.
Revised:  This answers a question of Bre \v sar , Hartinger, Kos, and Milani \v{c from 2018 , and one of Beisegel, Chudnovsky, Gurvich, Milani \v{c , and Servatius from 2019, respectively.
Edit intent: fluency
Original:  This answers a question of Bre \v{s , Hartinger, Kos, and Milani \v{c from 2018 , and one of Beisegel, Chudnovsky, Gurvich, Milani \v{c , and Servatius from 2019, respectively.
Revised:  This answers a question of Bre \v{s , Hartinger, Kos, and Milani \v c from 2018 , and one of Beisegel, Chudnovsky, Gurvich, Milani \v{c , and Servatius from 2019, respectively.
Edit intent: fluency
Original:  This answers a question of Bre \v{s , Hartinger, Kos, and Milani \v{c from 2018 , and one of Beisegel, Chudnovsky, Gurvich, Milani \v{c , and Servatius from 2019, respectively.
Revised:  This answers a question of Bre \v{s , Hartinger, Kos, and Milani \v{c from 2018 and one of Beisegel, Chudnovsky, Gurvich, Milani \v{c , and Servatius from 2019, respectively.
Edit intent: fluency
Original:  This answers a question of Bre \v{s , Hartinger, Kos, and Milani \v{c from 2018 , and one of Beisegel, Chudnovsky, Gurvich, Milani \v{c , and Servatius from 2019, respectively.
Revised:  This answers a question of Bre \v{s , Hartinger, Kos, and Milani \v{c from 2018 , and one of Beisegel, Chudnovsky, Gurvich, Milani \v c , and Servatius from 2019, respectively.
Edit intent: fluency
Original:  In addition, we propose a question about the complexity of the Maximum Weight Independent Set problem in (tw,\omega)-bounded graph classes and prove that the problem is polynomial-time solvable in every class of graphs excluding a fixed star as an induced minor.
Revised:  In addition, we propose a question about the complexity of the maximum weight independent set problem in (tw,\omega)-bounded graph classes and prove that the problem is polynomial-time solvable in every class of graphs excluding a fixed star as an induced minor.
Edit intent: fluency
Original: There have been significant research efforts to address the issue of unintentional bias in Machine Learning (ML) . Many well-known companies have dealt with the fallout after the deployment of their products due to this issue.
Revised: Numerous Machine Learning (ML) . Many well-known companies have dealt with the fallout after the deployment of their products due to this issue.
Edit intent: clarity
Original: Numerous Machine Learning (ML) bias-related problems have generated significant press in recent years .
Revised: Numerous Machine Learning (ML) bias-related failures in recent years .
Edit intent: clarity
Original:  This has led to scrutiny of corporate failure regarding how to incorporate human oversight in thorough evaluation and prevention of bias . Companies have a responsibility to monitor ML processes for bias and mitigate any bias detected, ensure business product integrity, preserve customer loyalty, and protect brand image.
Revised:  This has led to scrutiny of how companies incorporate aspects of transparency and accountability in their ML lifecycles . Companies have a responsibility to monitor ML processes for bias and mitigate any bias detected, ensure business product integrity, preserve customer loyalty, and protect brand image.
Edit intent: clarity
Original:  In this paper, we propose SIFT (System to Integrate Fairness Transparently) as a methodological approach for integrating bias detection, mitigation, and documentation in ML projects at various stages of the ML lifecycle.
Revised:  In this paper, we propose SIFT (System to Integrate Fairness Transparently) as a methodological approach for integrating bias detection, mitigation, and documentation of projects at various stages of the ML lifecycle.
Edit intent: clarity
Original:  Increased efforts in neuroscience try to understand mental disorders as brain disorders.
Revised: Introduction. Increased efforts in neuroscience try to understand mental disorders as brain disorders.
Edit intent: coherence
Original: Early evidence suggests that women, including female researchers, are disproportionately affected by the \mbox{COVID-19 , with negative consequences to their productivity.
Revised: Preliminary evidence suggests that women, including female researchers, are disproportionately affected by the \mbox{COVID-19 , with negative consequences to their productivity.
Edit intent: clarity
Original:  Here, we test this hypothesis by analyzing the proportion of male and female researchers that publish scientific papers during the pandemic.
Revised:  Here, we test this hypothesis by analyzing the proportion of male and female researchers who published scientific papers during the pandemic.
Edit intent: fluency
Original:  The impact is particularly pronounced for biomedical papers related to COVID-19 research.
Revised:  The impact is particularly pronounced for papers related to COVID-19 research.
Edit intent: clarity
Original:  Both tools are designed for users with a wide range of computer expertise and include tutorials and detailed documentation.
Revised:  Both tools are designed for users with a wide range of computer expertise , and it includes tutorials and detailed documentation.
Edit intent: coherence
Original:  To investigate detector robustness in a realistic defense scenario where unseen attack settings  exist, we analyze various attack settings and observe that the detector is robust (6.27\\%DIF < EER_{det %DIF > EER_{det} degradation in the worst case) against unseen substitute ASV systems, but it has weak robustness (50.37\\%DIF < EER_{det} degradation in the worst case) %DIF > EER_{det}  against unseen perturbation methods.
Revised:  To investigate detector robustness in a realistic defense scenario where unseen attack settings may exist, we analyze various attack settings and observe that the detector is robust (6.27\\%DIF < EER_{det %DIF > EER_{det} degradation in the worst case) against unseen substitute ASV systems, but it has weak robustness (50.37\\%DIF < EER_{det} degradation in the worst case) %DIF > EER_{det} against unseen perturbation methods.
Edit intent: clarity
Original:  To investigate detector robustness in a realistic defense scenario where unseen attack settings  exist, we analyze various attack settings and observe that the detector is robust (6.27\\%DIF < EER_{det %DIF > EER_{det} degradation in the worst case) against unseen substitute ASV systems, but it has weak robustness (50.37\\%DIF < EER_{det} degradation in the worst case) %DIF > EER_{det}  against unseen perturbation methods.
Revised:  To investigate detector robustness in a realistic defense scenario where unseen attack settings exist, we analyze various kinds of unseen attack settings' impact and observe that the detector is robust (6.27\\%DIF < EER_{det %DIF > EER_{det} degradation in the worst case) against unseen substitute ASV systems, but it has weak robustness (50.37\\%DIF < EER_{det} degradation in the worst case) %DIF > EER_{det} against unseen perturbation methods.
Edit intent: clarity
Original:  To investigate detector robustness in a realistic defense scenario where unseen attack settings  exist, we analyze various attack settings and observe that the detector is robust (6.27\\%DIF < EER_{det %DIF > EER_{det} degradation in the worst case) against unseen substitute ASV systems, but it has weak robustness (50.37\\%DIF < EER_{det} degradation in the worst case) %DIF > EER_{det}  against unseen perturbation methods.
Revised:  To investigate detector robustness in a realistic defense scenario where unseen attack settings exist, we analyze various attack settings and observe that the detector is robust (6.27\\%DIF < %DIF > EER_{det} degradation in the worst case) against unseen substitute ASV systems, but it has weak robustness (50.37\\%DIF < EER_{det} degradation in the worst case) %DIF > EER_{det} against unseen perturbation methods.
Edit intent: fluency
Original:  To investigate detector robustness in a realistic defense scenario where unseen attack settings  exist, we analyze various attack settings and observe that the detector is robust (6.27\\%DIF < EER_{det %DIF > EER_{det} degradation in the worst case) against unseen substitute ASV systems, but it has weak robustness (50.37\\%DIF < EER_{det} degradation in the worst case) %DIF > EER_{det}  against unseen perturbation methods.
Revised:  To investigate detector robustness in a realistic defense scenario where unseen attack settings exist, we analyze various attack settings and observe that the detector is robust (6.27\\%DIF < EER_{det %DIF > EER_{det} degradation in the worst case) against unseen substitute ASV systems, but it has weak robustness (50.37\\%DIF < EER_{det} degradation in the worst case) %DIF > EER_{det} degradation in the worst case) against unseen perturbation methods.
Edit intent: fluency
Original: In this work we introduce a novel kinetic model for the study of tumour growths which highlights the role of microscopic transitions in determining a variety of equilibrium distributions.
Revised: In this work we introduce a novel kinetic model of growth which highlights the role of microscopic transitions in determining a variety of equilibrium distributions.
Edit intent: clarity
Original:  Microscopic feedback control therapies are designed to influence the natural tumour growth and to mitigate the risk factors involved in big sized tumours.
Revised:  Microscopic feedback control therapies , able to influence the natural tumour growth and to mitigate the risk factors involved in big sized tumours.
Edit intent: clarity
Original:  Microscopic feedback control therapies are designed to influence the natural tumour growth and to mitigate the risk factors involved in big sized tumours.
Revised:  Microscopic feedback control therapies are designed to influence the natural tumor growth and to mitigate the risk factors involved in big sized tumours.
Edit intent: fluency
Original:  We propose training a generative adversarial network on a music library, and using its discriminator as a  measure of the perceived quality of music.
Revised:  We propose training a GAN on a large music library, and using its discriminator as a measure of the perceived quality of music.
Edit intent: clarity
Original:  Finally, the method is shown to have a statistically significant correlation with human ratings of music .
Revised:  In a listening test with 448 human subjects, where participants rated professionally produced music tracks degraded with different levels and types of signal degradations such as waveshaping distortion and low-pass filtering, we establish a dataset of human rated material. By using the human rated dataset we show that the discriminator score correlates significantly with the subjective ratings, suggesting that the proposed method can be used to create a no-reference musical audio quality assessment measure .
Edit intent: coherence
Original:  The theory is based upon experimental evidence of structural symmetry between DNA nucleotides and steroid molecules , and introduces a new concept of synthesizing both structural and functional characteristics of DNA at the same time within a  unified complex of interleaved tetra-ringed structures, which serve as co-enzymatic building blocks in its self-assembly .
Revised:  The theory is based upon experimental evidence of structural symmetry between DNA nucleotides and steroid hormones , and introduces a new concept of synthesizing both structural and functional characteristics of DNA at the same time within a unified complex of interleaved tetra-ringed structures, which serve as co-enzymatic building blocks in its self-assembly .
Edit intent: clarity
Original:  The theory is based upon experimental evidence of structural symmetry between DNA nucleotides and steroid molecules , and introduces a new concept of synthesizing both structural and functional characteristics of DNA at the same time within a  unified complex of interleaved tetra-ringed structures, which serve as co-enzymatic building blocks in its self-assembly .
Revised:  The theory is based upon experimental evidence of structural symmetry between DNA nucleotides and steroid molecules , and introduces a new concept of synthesizing both structural and functional characteristics of DNA at the same time within a single unified complex of interleaved tetra-ringed structures, which serve as co-enzymatic building blocks in its self-assembly .
Edit intent: clarity
Original:  The theory is based upon experimental evidence of structural symmetry between DNA nucleotides and steroid molecules , and introduces a new concept of synthesizing both structural and functional characteristics of DNA at the same time within a  unified complex of interleaved tetra-ringed structures, which serve as co-enzymatic building blocks in its self-assembly .
Revised:  The theory is based upon experimental evidence of structural symmetry between DNA nucleotides and steroid molecules , and introduces a new concept of synthesizing both structural and functional characteristics of DNA at the same time within a unified complex of interleaved tetra-ringed structures, which serve as co-enzymatic building blocks .
Edit intent: clarity
Original:  Moreover, as a consequence of the intermolecular synthesis of both structural and functional characteristics within a unified complex, there is a culminating process step that sets forth in motion both DNA and the steroid molecules that trigger replication and transcription, as well as encode prebiotic protein translation, thereby resulting in the instantaneous release of life function .
Revised:  Moreover, as a consequence of the intermolecular synthesis of both structural and functional characteristics within a unified complex, there is a culminating process step that sets forth in motion both DNA and the steroid structures that subsequently trigger replication and transcription, as well as encode prebiotic protein translation, thereby resulting in the instantaneous release of life function .
Edit intent: clarity
Original:  Moreover, as a consequence of the intermolecular synthesis of both structural and functional characteristics within a unified complex, there is a culminating process step that sets forth in motion both DNA and the steroid structures that subsequently trigger replication and transcription, as well as encode prebiotic protein translation, thereby resulting in the instantaneous release of life function.
Revised:  Moreover, as a consequence of the intermolecular synthesis of both structural and functional characteristics within a unified complex, there is a culminating process step that sets forth in motion both DNA and the steroid structures that subsequently trigger replication and transcription, as well as protein translation, thereby resulting in the instantaneous release of life function.
Edit intent: clarity
Original: Medicine is moving from reacting to a disease to prepare personalised and precision paths to well being .
Revised: Medicine is moving from a curative discipline to a preventative discipline relying on personalised and precise treatment plans .
Edit intent: clarity
Original:  Computational medicine is a vibrant interdisciplinary field that could help moving from an organ-centered  to a process-oriented or systemic medicine data analysis.
Revised:  On the other hand, computational medicine is a vibrant interdisciplinary field that could help moving from an organ-centered to a process-oriented or systemic medicine data analysis.
Edit intent: coherence
Original:  Computational medicine is a vibrant interdisciplinary field that could help moving from an organ-centered  to a process-oriented or systemic medicine data analysis.
Revised:  Computational medicine is a vibrant interdisciplinary field that could help move from an organ-centered to a process-oriented or systemic medicine data analysis.
Edit intent: fluency
Original:  Computational medicine is a vibrant interdisciplinary field that could help moving from an organ-centered  to a process-oriented or systemic medicine data analysis.
Revised:  Computational medicine is a vibrant interdisciplinary field that could help moving from an organ-centered approach to a process-oriented or systemic medicine data analysis.
Edit intent: clarity
Original:  The resulting Computational patient may require an international interdisciplinary effort, probably of larger scientific and technological interdisciplinarity than the human genome sequencing .
Revised:  The resulting Computational patient may require an international interdisciplinary effort, of larger scientific and technological interdisciplinarity than the human genome sequencing .
Edit intent: coherence
Original:  The resulting Computational patient may require an international interdisciplinary effort, probably of larger scientific and technological interdisciplinarity than the human genome sequencing .
Revised:  The resulting Computational patient may require an international interdisciplinary effort, probably of larger scientific and technological interdisciplinarity than the Human Genome Project .
Edit intent: clarity
Original:  When deployed, it will have a profound impact on how healthcare is delivered to patients.
Revised:  When deployed, such a patient would have a profound impact on how healthcare is delivered to patients.
Edit intent: clarity
Original:  Here we present a Computational patient model that integrates, refine and extend recent specific mechanistic or phenomenological models of cardiovascular, RAS and diabetic processes.
Revised:  Here we present a computational patient model that integrates, refine and extend recent specific mechanistic or phenomenological models of cardiovascular, RAS and diabetic processes.
Edit intent: fluency
Original:  Here we present a Computational patient model that integrates, refine and extend recent specific mechanistic or phenomenological models of cardiovascular, RAS and diabetic processes.
Revised:  Here we present a Computational patient model that integrates, refines and extends recent mechanistic or phenomenological models of cardiovascular, RAS and diabetic processes.
Edit intent: clarity
Original:  We present results from a number of experiments among which we characterise the dynamical impact of covid-19 and T2D diabetes on cardiovascular and inflammation conditions.
Revised:  We present results from a number of experiments among which we characterise the dynamic impact of COVID-19 and type-2 diabetes (T2D) on cardiovascular and inflammation conditions.
Edit intent: clarity
Original:  We tested these experiments under exercise and meals and drug regimen .
Revised:  We tested these experiments under different exercise, meal and drug regimens .
Edit intent: clarity
Original:  We report results showing the striking importance of transient dynamical responses to acute state conditions and we provide guidelines for system design principle of the inter-relationship between modules and components for systemic medicine.
Revised:  We report results showing the striking importance of transient dynamical responses to acute state conditions and we provide guidelines for system design principles for the inter-relationship between modules and components for systemic medicine.
Edit intent: fluency
Original:  We report results showing the striking importance of transient dynamical responses to acute state conditions and we provide guidelines for system design principle of the inter-relationship between modules and components for systemic medicine.
Revised:  We report results showing the striking importance of transient dynamical responses to acute state conditions and we provide guidelines for system design principle of the inter-relationship between modules and components in systemic medicine.
Edit intent: clarity
Original:  Finally this initial Computational Patient can be used as a toolbox for further modifications and extensions.
Revised:  Finally this initial computational Patient can be used as a toolbox for further modifications and extensions.
Edit intent: fluency
Original:  To tackle these difficulties, we propose Individually Inferred Communication (I2C), a simple yet effective model to enable agents to learn a prior for agent-agent communication.
Revised:  To tackle these difficulties, we propose Individually Inferred Communication (I2C), a simple yet effective model to enable agents to learn a prior for agent-agent communication.
Edit intent: fluency
Original: Recently, graph-based algorithms have drawn much attention because of their impressive success in semi-supervised scenarios .
Revised: Recently, graph-based algorithms have drawn much attention because of their impressive success in semi-supervised setups .
Edit intent: clarity
Original:  To justify the generality and practicality of ELCO, we couple it with the popular Graph Convolution Network and Graph Attention Network to extensively perform semi-supervised learning evaluations on three standard datasets.
Revised:  To justify the generality and practicality of ELCO, we couple it with the popular Graph Convolution Network and Graph Attention Network to perform extensive evaluations on three standard datasets.
Edit intent: clarity
Original:  Please find our code at URL
Revised:  We release our code and data on URL to guarantee reproducibility.
Edit intent: clarity