wanyu/IteraTeR_full_sent huggingface dataset:
Original:  In the present paper , those equations are successfully replaced by approximate ones, whose solutions are given explicitly in terms of elementary functions, namely , piece-wisely,  generalized logistic functions: they {\em   unveil a useful feature, that in fact  is also owned by the (numerical) solutions of the exact equations {\em  {\em   .
Revised:  In the present paper , those equations are successfully replaced by approximate ones, whose solutions are given explicitly in terms of elementary functions, namely , piece-wisely, generalized logistic functions: they {\em unveil a useful feature, that in fact is also owned by the (numerical) solutions of the exact equations {\em {\em basic reproduction ratio .
Edit intent: clarity
Original:  In the present paper , those equations are successfully replaced by approximate ones, whose solutions are given explicitly in terms of elementary functions, namely , piece-wisely,  generalized logistic functions: they {\em   unveil a useful feature, that in fact  is also owned by the (numerical) solutions of the exact equations {\em  {\em   .
Revised:  In the present paper , those equations are successfully replaced by approximate ones, whose solutions are given explicitly in terms of elementary functions, namely , piece-wisely, generalized logistic functions: they {\em unveil a useful feature, that in fact is also owned by the (numerical) solutions of the exact equations {\em {\em , that covers at least all the known epidemic cases, from influenza to measles: this is a point which doesn't appear much discussed in analogous works .
Edit intent: meaning-changed
Original:  To address this issue, this paper exploits Principal Component Analysis and Factor Analysis as feature selection algorithms to select important features, summarise the similar features together and obtain a minimum set of features for four sectors, Financial Sector, Energy Sector, Health Care Sector, Consumer Discretionary Sector.
Revised:  To address this issue, this paper exploited Principal Component Analysis and Factor Analysis as feature selection algorithms to select important features, summarise the similar features together and obtain a minimum set of features for four sectors, Financial Sector, Energy Sector, Health Care Sector, Consumer Discretionary Sector.
Edit intent: fluency
Original:  To address this issue, this paper exploits Principal Component Analysis and Factor Analysis as feature selection algorithms to select important features, summarise the similar features together and obtain a minimum set of features for four sectors, Financial Sector, Energy Sector, Health Care Sector, Consumer Discretionary Sector.
Revised:  To address this issue, this paper exploits Principal Component Analysis and Factor Analysis as feature selection algorithms to select important features, summarized the similar features together and obtain a minimum set of features for four sectors, Financial Sector, Energy Sector, Health Care Sector, Consumer Discretionary Sector.
Edit intent: fluency
Original:  To address this issue, this paper exploits Principal Component Analysis and Factor Analysis as feature selection algorithms to select important features, summarise the similar features together and obtain a minimum set of features for four sectors, Financial Sector, Energy Sector, Health Care Sector, Consumer Discretionary Sector.
Revised:  To address this issue, this paper exploits Principal Component Analysis and Factor Analysis as feature selection algorithms to select important features, summarise the similar features together , and obtained a minimum set of features for four sectors, Financial Sector, Energy Sector, Health Care Sector, Consumer Discretionary Sector.
Edit intent: coherence
Original:  What is more , Factor Analysis can reduce significantly the number of features  to obtain almost the same accuracy that can decrease dramatically the time spent on analyzing data .In addition, we summarise seven dominant factors and ten dominant factors having effect on credit rating change in Financial Ratio and Balance Sheet respectively by utilizing Factor Analysis  which can explain the reason of credit rating change better.
Revised:  What is more , Factor Analysis can reduce significantly the number of features to obtain almost the same accuracy that can decrease dramatically the time spent on analyzing data ; we also summarized seven dominant factors and ten dominant factors having effect on credit rating change in Financial Ratio and Balance Sheet respectively by utilizing Factor Analysis which can explain the reason of credit rating change better.
Edit intent: coherence
Original:  We show how complex robotic tasks can be formulated as a free-energy minimisation problem, and how state estimation and symbolic decision making are handled within the same framework. The general behavior is specified offline through behavior trees, where the leaf nodes represent desired states, not actions  as in classical behavior trees .
Revised:  We show how complex robotic tasks can be formulated as a free-energy minimization problem, bringing the neuroscientific theory of active inference on a mobile manipulator. In this framework, the general nominal behavior is specified offline through behavior trees, where the leaf nodes represent desired states, not actions as in classical behavior trees .
Edit intent: meaning-changed
Original:  The decision of which action to execute to reach a state is left to the online active inference routine, in order to resolve unexpected contingencies. This hybrid combination improves the robustness of plans specified through behavior trees, while allowing to cope with the curse of dimensionality in active inference .
Revised:  The decision of which action to execute to reach the desired state is performed online through active inference. The resulting hybrid combination improves the robustness of plans specified through behavior trees, while allowing to cope with the curse of dimensionality in active inference .
Edit intent: clarity
Original:  Of 24 articles qualifying for inclusion, four main  objectives were identified: estimating transmission parameters ( 9 studies), assessing determinants of transmission ( 4 ), examining consequences of hypothetical outbreaks ( 3 ), and assessing alternative control strategies ( 8). Population-based ( 11) , metapopulation (5), and individual-based (8) model frameworks were represented.
Revised:  Of 34 four articles qualifying for inclusion, four main objectives were identified: estimating transmission parameters ( 9 studies), assessing determinants of transmission ( 4 ), examining consequences of hypothetical outbreaks ( 3 ), and assessing alternative control strategies ( 8). Population-based ( 11) , metapopulation (5), and individual-based (8) model frameworks were represented.
Edit intent: meaning-changed
Original:  Of 24 articles qualifying for inclusion, four main  objectives were identified: estimating transmission parameters ( 9 studies), assessing determinants of transmission ( 4 ), examining consequences of hypothetical outbreaks ( 3 ), and assessing alternative control strategies ( 8). Population-based ( 11) , metapopulation (5), and individual-based (8) model frameworks were represented.
Revised:  Of 24 articles qualifying for inclusion, four main modelling objectives were identified: estimating transmission parameters ( 9 studies), assessing determinants of transmission ( 4 ), examining consequences of hypothetical outbreaks ( 3 ), and assessing alternative control strategies ( 8). Population-based ( 11) , metapopulation (5), and individual-based (8) model frameworks were represented.
Edit intent: clarity
Original:  Of 24 articles qualifying for inclusion, four main  objectives were identified: estimating transmission parameters ( 9 studies), assessing determinants of transmission ( 4 ), examining consequences of hypothetical outbreaks ( 3 ), and assessing alternative control strategies ( 8). Population-based ( 11) , metapopulation (5), and individual-based (8) model frameworks were represented.
Revised:  Of 24 articles qualifying for inclusion, four main objectives were identified: estimating transmission parameters ( 11 studies), assessing determinants of transmission ( 4 ), examining consequences of hypothetical outbreaks ( 3 ), and assessing alternative control strategies ( 8). Population-based ( 11) , metapopulation (5), and individual-based (8) model frameworks were represented.
Edit intent: clarity
Original:  Of 24 articles qualifying for inclusion, four main  objectives were identified: estimating transmission parameters ( 9 studies), assessing determinants of transmission ( 4 ), examining consequences of hypothetical outbreaks ( 3 ), and assessing alternative control strategies ( 8). Population-based ( 11) , metapopulation (5), and individual-based (8) model frameworks were represented.
Revised:  Of 24 articles qualifying for inclusion, four main objectives were identified: estimating transmission parameters ( 9 studies), assessing determinants of transmission ( 7 ), examining consequences of hypothetical outbreaks ( 3 ), and assessing alternative control strategies ( 8). Population-based ( 11) , metapopulation (5), and individual-based (8) model frameworks were represented.
Edit intent: meaning-changed
Original:  Of 24 articles qualifying for inclusion, four main  objectives were identified: estimating transmission parameters ( 9 studies), assessing determinants of transmission ( 4 ), examining consequences of hypothetical outbreaks ( 3 ), and assessing alternative control strategies ( 8). Population-based ( 11) , metapopulation (5), and individual-based (8) model frameworks were represented.
Revised:  Of 24 articles qualifying for inclusion, four main objectives were identified: estimating transmission parameters ( 9 studies), assessing determinants of transmission ( 4 ), examining consequences of hypothetical outbreaks ( 5 ), and assessing alternative control strategies ( 8). Population-based ( 11) , metapopulation (5), and individual-based (8) model frameworks were represented.
Edit intent: fluency
Original:  Of 24 articles qualifying for inclusion, four main  objectives were identified: estimating transmission parameters ( 9 studies), assessing determinants of transmission ( 4 ), examining consequences of hypothetical outbreaks ( 3 ), and assessing alternative control strategies ( 8). Population-based ( 11) , metapopulation (5), and individual-based (8) model frameworks were represented.
Revised:  Of 24 articles qualifying for inclusion, four main objectives were identified: estimating transmission parameters ( 9 studies), assessing determinants of transmission ( 4 ), examining consequences of hypothetical outbreaks ( 3 ), and assessing alternative control strategies ( 11) , metapopulation (5), and individual-based (8) model frameworks were represented.
Edit intent: coherence
Original:  Of 24 articles qualifying for inclusion, four main  objectives were identified: estimating transmission parameters ( 9 studies), assessing determinants of transmission ( 4 ), examining consequences of hypothetical outbreaks ( 3 ), and assessing alternative control strategies ( 8). Population-based ( 11) , metapopulation (5), and individual-based (8) model frameworks were represented. The majority of models (18) were parameterized to the genotype II isolates currently circulating in Europe and Asia.
Revised:  Of 24 articles qualifying for inclusion, four main objectives were identified: estimating transmission parameters ( 9 studies), assessing determinants of transmission ( 4 ), examining consequences of hypothetical outbreaks ( 3 ), and assessing alternative control strategies ( 8). Population-based ( 11) .
Edit intent: coherence
Original:  Almost half of the studies stem from one of two models . We call for a diversification of modeling approaches through developing additional frameworks. All models but one are host specific to either domestic pigs or wild boar , despite the fact that spillover events between the domestic and wild compartments can play an important role in  outbreaks.
Revised:  Almost all models are host specific to either domestic pigs or wild boar , despite the fact that spillover events between the domestic and wild compartments can play an important role in outbreaks.
Edit intent: coherence
Original: Hardware-agnostic programming with high performance portability will be the bedrock for realizing the ubiquitous adoption of emerging accelerator technologies in future heterogeneous high-performance computing (HPC) systems, which is the key to achieving the next level of HPC performance on an expanding accelerator landscape. In this paper , we present HALO 1.0, an open-ended extensible multi-agent software framework that implements a set of proposed hardware-agnostic accelerator orchestration (HALO) principles and a novel compute-centric message passing interface (C^2MPI) specification for enabling the portable and performance-optimized execution of hardware-agnostic application host codes across heterogeneous accelerator resources .
Revised: This paper presents HALO 1.0, an open-ended extensible multi-agent software framework that implements a set of proposed hardware-agnostic accelerator orchestration (HALO) principles and a novel compute-centric message passing interface (C^2MPI) specification for enabling the portable and performance-optimized execution of hardware-agnostic application host codes across heterogeneous accelerator resources .
Edit intent: clarity
Original:  In this paper , we present HALO 1.0, an open-ended extensible multi-agent software framework that implements a set of proposed hardware-agnostic accelerator orchestration (HALO) principles and a novel compute-centric message passing interface (C^2MPI) specification for enabling the portable and performance-optimized execution of hardware-agnostic application host codes across heterogeneous accelerator resources .
Revised:  In this paper , we present HALO 1.0, an open-ended extensible multi-agent software framework that implements a set of proposed hardware-agnostic accelerator orchestration (HALO) principles . HALO implements a novel compute-centric message passing interface (C^2MPI) specification for enabling the portable and performance-optimized execution of hardware-agnostic application host codes across heterogeneous accelerator resources .
Edit intent: coherence
Original:  In this paper , we present HALO 1.0, an open-ended extensible multi-agent software framework that implements a set of proposed hardware-agnostic accelerator orchestration (HALO) principles and a novel compute-centric message passing interface (C^2MPI) specification for enabling the portable and performance-optimized execution of hardware-agnostic application host codes across heterogeneous accelerator resources .
Revised:  In this paper , we present HALO 1.0, an open-ended extensible multi-agent software framework that implements a set of proposed hardware-agnostic accelerator orchestration (HALO) principles and a novel compute-centric message passing interface (C^2MPI) specification for enabling the performance-portable execution of a hardware-agnostic application host codes across heterogeneous accelerator resources .
Edit intent: clarity
Original:  In this paper , we present HALO 1.0, an open-ended extensible multi-agent software framework that implements a set of proposed hardware-agnostic accelerator orchestration (HALO) principles and a novel compute-centric message passing interface (C^2MPI) specification for enabling the portable and performance-optimized execution of hardware-agnostic application host codes across heterogeneous accelerator resources .
Revised:  In this paper , we present HALO 1.0, an open-ended extensible multi-agent software framework that implements a set of proposed hardware-agnostic accelerator orchestration (HALO) principles and a novel compute-centric message passing interface (C^2MPI) specification for enabling the portable and performance-optimized execution of hardware-agnostic host application across heterogeneous accelerators .
Edit intent: clarity
Original:  Intel Arria 10 GX FPGAs, and NVIDIA GeForce RTX 2080 Ti GPUs show that HALO 1.0 allows for a unified control flow for the host program to run across all the computing devices with a consistently maximum performance portability score of 1.0 , which is 2x-861,883x higher than the OpenCL-based solution that suffers from an unstably low performance portability score. of the documentation of their work .
Revised:  Intel Arria 10 GX FPGAs, and NVIDIA GeForce RTX 2080 Ti GPUs show that HALO 1.0 allows for a unified control flow for host programs to run across all the computing devices with a consistently maximum performance portability score of 1.0 , which is 2x-861,883x higher than the OpenCL-based solution that suffers from an unstably low performance portability score. of the documentation of their work .
Edit intent: fluency
Original:  Intel Arria 10 GX FPGAs, and NVIDIA GeForce RTX 2080 Ti GPUs show that HALO 1.0 allows for a unified control flow for the host program to run across all the computing devices with a consistently maximum performance portability score of 1.0 , which is 2x-861,883x higher than the OpenCL-based solution that suffers from an unstably low performance portability score. of the documentation of their work .
Revised:  Intel Arria 10 GX FPGAs, and NVIDIA GeForce RTX 2080 Ti GPUs show that HALO 1.0 allows for a unified control flow for the host program to run across all the computing devices with a consistently top performance portability score of 1.0 , which is 2x-861,883x higher than the OpenCL-based solution that suffers from an unstably low performance portability score. of the documentation of their work .
Edit intent: clarity
Original:  Intel Arria 10 GX FPGAs, and NVIDIA GeForce RTX 2080 Ti GPUs show that HALO 1.0 allows for a unified control flow for the host program to run across all the computing devices with a consistently maximum performance portability score of 1.0 , which is 2x-861,883x higher than the OpenCL-based solution that suffers from an unstably low performance portability score. of the documentation of their work .
Revised:  Intel Arria 10 GX FPGAs, and NVIDIA GeForce RTX 2080 Ti GPUs show that HALO 1.0 allows for a unified control flow for the host program to run across all the computing devices with a consistently maximum performance portability score , which is 2x-861,883x higher than the OpenCL-based solution that suffers from an unstably low performance portability score. of the documentation of their work .
Edit intent: clarity
Original:  Intel Arria 10 GX FPGAs, and NVIDIA GeForce RTX 2080 Ti GPUs show that HALO 1.0 allows for a unified control flow for the host program to run across all the computing devices with a consistently maximum performance portability score of 1.0 , which is 2x-861,883x higher than the OpenCL-based solution that suffers from an unstably low performance portability score. of the documentation of their work .
Revised:  Intel Arria 10 GX FPGAs, and NVIDIA GeForce RTX 2080 Ti GPUs show that HALO 1.0 allows for a unified control flow for the host program to run across all the computing devices with a consistently maximum performance portability score of 1.0 , which is up to five orders of magnitude higher than the OpenCL-based solution that suffers from an unstably low performance portability score. of the documentation of their work .
Edit intent: meaning-changed
Original:  Intel Arria 10 GX FPGAs, and NVIDIA GeForce RTX 2080 Ti GPUs show that HALO 1.0 allows for a unified control flow for the host program to run across all the computing devices with a consistently maximum performance portability score of 1.0 , which is 2x-861,883x higher than the OpenCL-based solution that suffers from an unstably low performance portability score. of the documentation of their work .
Revised:  Intel Arria 10 GX FPGAs, and NVIDIA GeForce RTX 2080 Ti GPUs show that HALO 1.0 allows for a unified control flow for the host program to run across all the computing devices with a consistently maximum performance portability score of 1.0 , which is 2x-861,883x higher than the OpenCL-based solution .
Edit intent: coherence
Original:  This choice, typically made by what is known as Direct Coupling Analysis, has been highly successful in using sequences for predicting residue contacts in the three-dimensional structure, mutational effects, and in generating new functional sequences.
Revised:  This choice, typical of what is known as Direct Coupling Analysis, has been highly successful in using sequences for predicting residue contacts in the three-dimensional structure, mutational effects, and in generating new functional sequences.
Edit intent: clarity
Original:  This choice, typically made by what is known as Direct Coupling Analysis, has been highly successful in using sequences for predicting residue contacts in the three-dimensional structure, mutational effects, and in generating new functional sequences.
Revised:  This choice, typically made by what is known as Direct Coupling Analysis, has been successful for predicting residue contacts in the three-dimensional structure, mutational effects, and in generating new functional sequences.
Edit intent: clarity
Original:  However, the resulting PM suffers from important over-fitting effects: many couplings are small, noisy and hardly interpretable , and the PM is close to a critical point, meaning that it is highly sensitive to small parameter perturbations.
Revised:  However, the resulting PM suffers from important over-fitting effects: many couplings are small, noisy and hardly interpretable ; the PM is close to a critical point, meaning that it is highly sensitive to small parameter perturbations.
Edit intent: coherence
Original:  In this work, we introduce a  parameter-reduction procedure via iterative decimation of the less statistically significant couplings . We propose an information-based criterion that identifies couplings that are either weak , or statistically unsupported .
Revised:  In this work, we introduce a parameter-reduction procedure via iterative decimation of the less statistically significant couplings , identified by an information-based criterion that identifies couplings that are either weak , or statistically unsupported .
Edit intent: clarity
Original:  We propose an information-based criterion that identifies couplings that are either weak , or statistically unsupported . We show that our procedure allows one to remove more than 90 \% of the PM couplings, while preserving the predictive and generative properties of the original dense PM.
Revised:  We propose an information-based criterion that identifies couplings that are either weak , or statistically unsupported couplings. For several protein families, our procedure allows one to remove more than 90 \% of the PM couplings, while preserving the predictive and generative properties of the original dense PM.
Edit intent: meaning-changed
Original:  This fundamental problem appears in different contexts, e.g., community detection, average case complexity, and neuroscience applications . We first observe that it can be viewed as a structural variant of tensor PCA in which the hypergraph parameters k and h determine the structure of the signal to be recovered when the observations are contaminated by Gaussian noise.
Revised:  This fundamental problem appears in different contexts, e.g., community detection, average case complexity, and neuroscience applications as a structural variant of tensor PCA in which the hypergraph parameters k and h determine the structure of the signal to be recovered when the observations are contaminated by Gaussian noise.
Edit intent: coherence