wanyu/IteraTeR_v2 huggingface dataset:
Original:  Thus, M. xanthus evolved to take advantage of an active-matter phase transition that can be controlled through changes in motility at the individual cell levelwithout complex feedback and chemical communication between cells .
Revised:  Thus, M. xanthus evolved to take advantage of an active-matter phase transition that can be controlled at the single cell level .
Edit intent: clarity
Original:  Thus , it is often infeasible to store the  materialized output if we plan to reuse it to answer further queries over the result .
Revised:  Thus , it is often infeasible to store the whole materialized output if we plan to reuse it to answer further queries over the result .
Edit intent: clarity
Original:  Thus , it is often infeasible to store the  materialized output if we plan to reuse it to answer further queries over the result .
Revised:  Thus , it is often infeasible to store the materialized output if we plan to reuse it further down a data processing pipeline .
Edit intent: clarity
Original:  Motivated by this observation , we study the problem of constructing space-efficient %DIFDELCMD < {\em %%% compressed representations of the output of conjunctive queries, with the goal of supporting the efficient evaluation of queries over the intermediate compressed result , instead of the original input database .
Revised:  Motivated by this problem , we study the problem of constructing space-efficient %DIFDELCMD < {\em %%% compressed representations of the output of conjunctive queries, with the goal of supporting the efficient evaluation of queries over the intermediate compressed result , instead of the original input database .
Edit intent: clarity
Original:  Motivated by this observation , we study the problem of constructing space-efficient %DIFDELCMD < {\em %%% compressed representations of the output of conjunctive queries, with the goal of supporting the efficient evaluation of queries over the intermediate compressed result , instead of the original input database .
Revised:  Motivated by this observation , we study the construction of space-efficient %DIFDELCMD < {\em %%% compressed representations of the output of conjunctive queries, with the goal of supporting the efficient evaluation of queries over the intermediate compressed result , instead of the original input database .
Edit intent: clarity
Original:  Motivated by this observation , we study the problem of constructing space-efficient %DIFDELCMD < {\em %%% compressed representations of the output of conjunctive queries, with the goal of supporting the efficient evaluation of queries over the intermediate compressed result , instead of the original input database .
Revised:  Motivated by this observation , we study the problem of constructing space-efficient %DIFDELCMD < {\em %%% compressed representations of the output of conjunctive queries, with the goal of supporting the efficient evaluation of queries over the intermediate compressed result , instead of the original input database .
Edit intent: fluency
Original:  Motivated by this observation , we study the problem of constructing space-efficient %DIFDELCMD < {\em %%% compressed representations of the output of conjunctive queries, with the goal of supporting the efficient evaluation of queries over the intermediate compressed result , instead of the original input database .
Revised:  Motivated by this observation , we study the problem of constructing space-efficient %DIFDELCMD < {\em %%% compressed representations of the output of conjunctive queries, with the goal of supporting the efficient access of the intermediate compressed result , instead of the original input database .
Edit intent: clarity
Original:  Motivated by this observation , we study the problem of constructing space-efficient %DIFDELCMD < {\em %%% compressed representations of the output of conjunctive queries, with the goal of supporting the efficient evaluation of queries over the intermediate compressed result , instead of the original input database .
Revised:  Motivated by this observation , we study the problem of constructing space-efficient %DIFDELCMD < {\em %%% compressed representations of the output of conjunctive queries, with the goal of supporting the efficient evaluation of queries over the intermediate compressed result for a given access pattern .
Edit intent: clarity
Original:  In particular, we examine an important tradeoff: minimizing the %DIFDELCMD < {\em %DIFDELCMD < %%% space necessary to store the compressed result, versus minimizing the %DIFDELCMD < {\em %DIFDELCMD < %%% answer time and%DIFDELCMD < {\em %%% delay when we answer queries over the result.
Revised:  In particular, we initiate the study of an important tradeoff: minimizing the %DIFDELCMD < {\em %DIFDELCMD < %%% space necessary to store the compressed result, versus minimizing the %DIFDELCMD < {\em %DIFDELCMD < %%% answer time and%DIFDELCMD < {\em %%% delay when we answer queries over the result.
Edit intent: clarity
Original:  In particular, we examine an important tradeoff: minimizing the %DIFDELCMD < {\em %DIFDELCMD < %%% space necessary to store the compressed result, versus minimizing the %DIFDELCMD < {\em %DIFDELCMD < %%% answer time and%DIFDELCMD < {\em %%% delay when we answer queries over the result.
Revised:  In particular, we examine an important tradeoff: minimizing the %DIFDELCMD < {\em %DIFDELCMD < %%% space necessary to store the compressed result, versus minimizing the %DIFDELCMD < {\em %DIFDELCMD < %%% answer time and%DIFDELCMD < {\em %%% delay when we answer queries over the result.
Edit intent: fluency
Original:  In particular, we examine an important tradeoff: minimizing the %DIFDELCMD < {\em %DIFDELCMD < %%% space necessary to store the compressed result, versus minimizing the %DIFDELCMD < {\em %DIFDELCMD < %%% answer time and%DIFDELCMD < {\em %%% delay when we answer queries over the result.
Revised:  In particular, we examine an important tradeoff: minimizing the %DIFDELCMD < {\em %DIFDELCMD < %%% space necessary to store the compressed result, versus minimizing the %DIFDELCMD < {\em %DIFDELCMD < %%% and%DIFDELCMD < {\em %%% delay when we answer queries over the result.
Edit intent: clarity
Original:  In particular, we examine an important tradeoff: minimizing the %DIFDELCMD < {\em %DIFDELCMD < %%% space necessary to store the compressed result, versus minimizing the %DIFDELCMD < {\em %DIFDELCMD < %%% answer time and%DIFDELCMD < {\em %%% delay when we answer queries over the result.
Revised:  In particular, we examine an important tradeoff: minimizing the %DIFDELCMD < {\em %DIFDELCMD < %%% space necessary to store the compressed result, versus minimizing the %DIFDELCMD < {\em %DIFDELCMD < %%% answer time %DIFDELCMD < {\em %%% delay when we answer queries over the result.
Edit intent: clarity
Original:  In particular, we examine an important tradeoff: minimizing the %DIFDELCMD < {\em %DIFDELCMD < %%% space necessary to store the compressed result, versus minimizing the %DIFDELCMD < {\em %DIFDELCMD < %%% answer time and%DIFDELCMD < {\em %%% delay when we answer queries over the result.
Revised:  In particular, we examine an important tradeoff: minimizing the %DIFDELCMD < {\em %DIFDELCMD < %%% space necessary to store the compressed result, versus minimizing the %DIFDELCMD < {\em %DIFDELCMD < %%% answer time and%DIFDELCMD < {\em %%% when we answer queries over the result.
Edit intent: clarity
Original:  We show a related lower bound on monotone CNF or DNF formulas, assuming a constant bound on the arity (size of clauses) and degree (number of occurrences of each variable).
Revised:  We show a related lower bound on monotone DNF or CNF formulas, assuming a constant bound on the arity (size of clauses) and degree (number of occurrences of each variable).
Edit intent: fluency
Original:  Hence, for our language of CNF and DNF , pathwidth and treewidth respectively characterize the efficiency of compiling to OBDDs and d-SDNNFs , that is, compilation is singly exponential in the corresponding width parameter.
Revised:  Hence, for our language of DNF and CNF , pathwidth and treewidth respectively characterize the efficiency of compiling to OBDDs and d-SDNNFs , that is, compilation is singly exponential in the corresponding width parameter.
Edit intent: fluency
Original:  Hence, for our language of CNF and DNF , pathwidth and treewidth respectively characterize the efficiency of compiling to OBDDs and d-SDNNFs , that is, compilation is singly exponential in the corresponding width parameter.
Revised:  Hence, for our language of CNF and DNF , pathwidth and treewidth respectively characterize the efficiency of compiling to OBDDs and (d-)SDNNFs , that is, compilation is singly exponential in the corresponding width parameter.
Edit intent: fluency
Original:  Hence, for our language of CNF and DNF , pathwidth and treewidth respectively characterize the efficiency of compiling to OBDDs and d-SDNNFs , that is, compilation is singly exponential in the corresponding width parameter.
Revised:  Hence, for our language of CNF and DNF , pathwidth and treewidth respectively characterize the efficiency of compiling to OBDDs and d-SDNNFs , that is, compilation is singly exponential in the width parameter.
Edit intent: clarity
Original:  Numerical results are also given to confirm the analytical conclusions.
Revised:  Numerical results are also provided to confirm the analytical conclusions.
Edit intent: clarity
Original: Conditions of stability for explicit finite difference scheme and some results of numerical analysis for a unified 2 factor model of structural and reduced form types for corporate bonds with fixed discrete coupon are provided.
Revised: Conditions of Stability for explicit finite difference scheme and some results of numerical analysis for a unified 2 factor model of structural and reduced form types for corporate bonds with fixed discrete coupon are provided.
Edit intent: fluency
Original:  We find conditions for the explicit finite difference scheme  , in the case that it is stable  numerically compute the price of the bond and analyze its credit spread and duration.
Revised:  We find conditions for the explicit finite difference scheme to be stable , in the case that it is stable numerically compute the price of the bond and analyze its credit spread and duration.
Edit intent: clarity
Original:  We find conditions for the explicit finite difference scheme  , in the case that it is stable  numerically compute the price of the bond and analyze its credit spread and duration.
Revised:  We find conditions for the explicit finite difference scheme , in the case that it is stable , numerically compute the price of the bond and analyze its credit spread and duration.
Edit intent: fluency
Original: The ability to make timely and accurate decisions is critical for cancer detection in diagnostic pathology.
Revised: Training individuals to make accurate decisions from medical images is a critical component of education in diagnostic pathology.
Edit intent: clarity
Original:  Compared to digital multipliers, CTT-based analog multipliers show dramatic area and power reduction (>100x) .
Revised:  Compared to digital multipliers, CTT-based analog multiplier shows significant area and power reduction (>100x) .
Edit intent: clarity
Original:  Compared to digital multipliers, CTT-based analog multipliers show dramatic area and power reduction (>100x) .
Revised:  Compared to digital multipliers, CTT-based analog multipliers show dramatic area and power reduction .
Edit intent: clarity
Original:  The proposed memristive computing engine is composed of a scalable CTT multiplier array and energy efficient analog-digital interfaces.
Revised:  The proposed computing engine is composed of a scalable CTT multiplier array and energy efficient analog-digital interfaces.
Edit intent: fluency
Original:  Through implementing the sequential analog fabric (SAF), the  mixed-signal of the engine interfaces are simplified and hardware overhead remains constant regardless of the size of the array.
Revised:  Through implementing the sequential analog fabric (SAF), the mixed-signal interfaces are simplified and hardware overhead remains constant regardless of the size of the array.
Edit intent: clarity
Original:  It achieves 69.9 TOPS with 500 MHz clock frequency and consumes 14.8 mW. As an example, we utilize this computing engine to address a classic pattern recognition problem-classifying handwritten digits on MNIST database - and obtained a performance comparable to state-of-the-art fully connected neural networks using 8-bit fixed-point resolution.
Revised:  It achieves 69.9 TOPS with 500 MHz clock frequency and consumes 14.8 mW. As an example, we utilize this computing engine to address a classic pattern recognition problem -- classifying handwritten digits on MNIST database - and obtained a performance comparable to state-of-the-art fully connected neural networks using 8-bit fixed-point resolution.
Edit intent: fluency
Original:  It achieves 69.9 TOPS with 500 MHz clock frequency and consumes 14.8 mW. As an example, we utilize this computing engine to address a classic pattern recognition problem-classifying handwritten digits on MNIST database - and obtained a performance comparable to state-of-the-art fully connected neural networks using 8-bit fixed-point resolution.
Revised:  It achieves 69.9 TOPS with 500 MHz clock frequency and consumes 14.8 mW. As an example, we utilize this computing engine to address a classic pattern recognition problem-classifying handwritten digits on MNIST database and obtained a performance comparable to state-of-the-art fully connected neural networks using 8-bit fixed-point resolution.
Edit intent: fluency
Original:  We present an algorithm that modifies Generalized Advantage Estimation for temporally extended actions, allowing a state-of-the-art policy optimization algorithm to optimize policies in Dec-POMDPs in which agents act asynchronously.
Revised:  We present an algorithm that modifies generalized advantage estimation for temporally extended actions, allowing a state-of-the-art policy optimization algorithm to optimize policies in Dec-POMDPs in which agents act asynchronously.
Edit intent: fluency
Original:  Our algorithm works by framing problems as "event-driven decision processes," which are scenarios where the sequence and timing of actions and events are random and governed by an underlying stochastic process.
Revised:  Our algorithm works by framing problems as "event-driven decision processes," which are scenarios in which the sequence and timing of actions and events are random and governed by an underlying stochastic process.
Edit intent: clarity
Original:  We show that fixed time-step simulation risks obfuscating the sequence in which closely-separated events occur, adversely affecting the policies learned.
Revised:  We show that fixed time-step simulation risks obfuscating the sequence in which closely separated events occur, adversely affecting the policies learned.
Edit intent: fluency
Original:  Additionally , we show that arbitrarily shrinking the time-step scales poorly with the number of agents.
Revised:  In addition , we show that arbitrarily shrinking the time-step scales poorly with the number of agents.
Edit intent: coherence
Original:  A simple, yet surprisingly accurate method for representing a relation between two words is to compute the vector offset (\PairDiff) between the corresponding word embeddings.
Revised:  A simple, yet surprisingly accurate method for representing a relation between two words is to compute the vector offset (\PairDiff) between their corresponding word embeddings.
Edit intent: clarity
Original:  Despite its empirical success, it remains unclear  whether \PairDiff is the best operator for obtaining a relational representation from word embeddings.
Revised:  Despite the empirical success, it remains unclear whether \PairDiff is the best operator for obtaining a relational representation from word embeddings.
Edit intent: fluency
Original:  Despite its empirical success, it remains unclear  whether \PairDiff is the best operator for obtaining a relational representation from word embeddings.
Revised:  Despite its empirical success, it remains unclear as to whether \PairDiff is the best operator for obtaining a relational representation from word embeddings.
Edit intent: clarity
Original:  In this paper, we conduct a theoretical analysis of  the %DIFDELCMD < \PairDiff %%% operator.
Revised:  We conduct a theoretical analysis of the %DIFDELCMD < \PairDiff %%% operator.
Edit intent: clarity
Original:  In particular, we show that for word embeddings where cross-dimensional correlations are zero,%DIFDELCMD < \PairDiff %%% is the only bilinear operator that can minimise the 2 loss between analogous word-pairs.
Revised:  In particular, we show that for word embeddings where cross-dimensional correlations are zero,%DIFDELCMD < \PairDiff %%% 2 loss between analogous word-pairs.
Edit intent: clarity
Original:  In particular, we show that for word embeddings where cross-dimensional correlations are zero,%DIFDELCMD < \PairDiff %%% is the only bilinear operator that can minimise the 2 loss between analogous word-pairs.
Revised:  In particular, we show that for word embeddings where cross-dimensional correlations are zero,%DIFDELCMD < \PairDiff %%% is the only bilinear operator that can minimise the 2 relational distance between two word-pairs.
Edit intent: clarity
Original:  We experimentally show thatfor word embedding created using a broad range of methods, the cross-dimensional correlations in word embeddings are approximately zero,\PairDiff  demonstrating the general applicability of our theoretical result.
Revised:  We show that, if the word embeddings are approximately zero,\PairDiff demonstrating the general applicability of our theoretical result.
Edit intent: clarity
Original:  Moreover, we empirically verify the implications of the proven theoretical result in a series of experiments where we repeatedly discover \PairDiff as the best bilinear operator for representing semantic relations between words in several benchmark datasets.
Revised:  Moreover, we experimentally discover \PairDiff as the best bilinear operator for representing semantic relations between words in several benchmark datasets.
Edit intent: clarity
Original: Pandapower is a Python based, BSD-licensed power system analysis tool aimed at automation of static and quasi-static analysis and optimization of  power systems.
Revised: pandapower is a Python based, BSD-licensed power system analysis tool aimed at automation of static and quasi-static analysis and optimization of power systems.
Edit intent: fluency
Original:  It is a full fledged power system analysis tool that provides power flow, optimal power flow, state estimation, topological graph searches and short circuit calculations according to IEC 60909.
Revised:  It provides power flow, optimal power flow, state estimation, topological graph searches and short circuit calculations according to IEC 60909.
Edit intent: clarity
Original:   The pandapower network model is based on electric elements, which are defined by nameplate parameters and  internally processed with equivalent circuit models  .
Revised:  The pandapower network model is based on electric elements, which are defined by nameplate parameters and are internally processed with equivalent circuit models .
Edit intent: fluency
Original: Background: The use of clinical trial registries to signal when systematic reviews become out of date  has been limited  due to the manual effort required to identify relevant trials .
Revised: Background: The use of clinical trial registries to signal when systematic reviews become out of date . However, this use has been limited due to the manual effort required to identify relevant trials .
Edit intent: coherence
Original: Background: The use of clinical trial registries to signal when systematic reviews become out of date  has been limited  due to the manual effort required to identify relevant trials .
Revised: Background: The use of clinical trial registries to signal when systematic reviews become out of date has been limited due to the extensive manual review required to search for and screen relevant trial registrations .
Edit intent: clarity
Original:  Methods: We identified 179 systematic reviews of drug interventions for type 2 diabetes, linked to 537 trial registrations in ClinicalTrials.gov.
Revised:  Methods: We identified 179 systematic reviews of drug interventions for type 2 diabetes, which included 537 trial registrations in ClinicalTrials.gov.
Edit intent: clarity
Original:  Methods: We identified 179 systematic reviews of drug interventions for type 2 diabetes, linked to 537 trial registrations in ClinicalTrials.gov.
Revised:  Methods: We identified 179 systematic reviews of drug interventions for type 2 diabetes, linked to 537 clinical trials that had registrations in ClinicalTrials.gov.
Edit intent: clarity
Original:  Text from the registrations were used as features or transformed using latent Dirichlet allocation or principal component analysis.
Edit intent: coherence
Original:  We tested a  shared latent space matrix factorisation method to learn how to rank  trial registrations for each systematic review, and compared its performance to baselines that used document similarity .
Revised:  We tested a matrix factorisation approach that uses a shared latent space matrix factorisation method to learn how to rank trial registrations for each systematic review, and compared its performance to baselines that used document similarity .
Edit intent: clarity
Original:  We tested a  shared latent space matrix factorisation method to learn how to rank  trial registrations for each systematic review, and compared its performance to baselines that used document similarity .
Revised:  We tested a shared latent space to learn how to rank trial registrations for each systematic review, and compared its performance to baselines that used document similarity .
Edit intent: clarity
Original:  The approaches were tested on a holdout set of  trials from the set of type 2 diabetes systematic reviews , and on a set of 17 systematic reviews with updates sourced from the Cochrane Database of Systematic Reviews , linked to 141 clinical trial registrations.
Revised:  The approaches were tested on a holdout set of trials from the set of type 2 diabetes systematic reviews and an unseen set of 141 clinical trial registrations from 17 systematic reviews with updates sourced from the Cochrane Database of Systematic Reviews , linked to 141 clinical trial registrations.
Edit intent: clarity
Original:  The approaches were tested on a holdout set of  trials from the set of type 2 diabetes systematic reviews , and on a set of 17 systematic reviews with updates sourced from the Cochrane Database of Systematic Reviews , linked to 141 clinical trial registrations.
Revised:  The approaches were tested on a holdout set of trials from the set of type 2 diabetes systematic reviews , and on a set of 17 updated systematic reviews published in the Cochrane Database of Systematic Reviews , linked to 141 clinical trial registrations.
Edit intent: clarity
Original:  In the  set of systematic reviews and their updates, the highest performing approach used document similarity (median rank 67 ;
Revised:  In the set of systematic reviews and their updates, the highest performing approach used document similarity and gave a median rank of 67 ;
Edit intent: clarity
Original:  In the  set of systematic reviews and their updates, the highest performing approach used document similarity (median rank 67 ;
Revised:  In the set of systematic reviews and their updates, the highest performing approach used document similarity (median rank 67 (
Edit intent: fluency
Original:  recall@100  62.9\%).
Revised:  recall@100 of 62.9\%).
Edit intent: fluency
Original:  Conclusions: A shared latent space matrix factorisation method was useful for ranking trial registrations to reduce the manual workload associated with finding relevant trials for systematic review updates  .
Revised:  The proposed method was useful for ranking trial registrations to reduce the manual workload associated with finding relevant trials for systematic review updates .
Edit intent: clarity