wanyu/IteraTeR_full_sent huggingface dataset:
Original:  It dynamically samples from a flexible number of distinct SR maps while accumulating evidence about the current reward context , and outperforms competing algorithms  in settings with both known and unsignalled rewards changes.
Revised:  It dynamically samples from a flexible number of distinct SR maps while accumulating evidence about the current task context through amortized inference. It improves SR's transfer capabilities and outperforms competing algorithms in settings with both known and unsignalled rewards changes.
Edit intent: meaning-changed
Original:  It reproduces the "flickering" behaviour of hippocampal maps seen when rodents navigate to changing reward locations, and gives a quantitative account of trajectory-dependent hippocampal representations (so-called splitter cells) and their dynamics.
Revised:  Further, as a neurobiological model of spatial coding in the hippocampus, it explains important signatures of this representation, such as the "flickering" behaviour of hippocampal maps seen when rodents navigate to changing reward locations, and gives a quantitative account of trajectory-dependent hippocampal representations (so-called splitter cells) and their dynamics.
Edit intent: meaning-changed
Original:  It reproduces the "flickering" behaviour of hippocampal maps seen when rodents navigate to changing reward locations, and gives a quantitative account of trajectory-dependent hippocampal representations (so-called splitter cells) and their dynamics.
Revised:  It reproduces the "flickering" behaviour of hippocampal maps , and trajectory-dependent hippocampal representations (so-called splitter cells) and their dynamics.
Edit intent: clarity
Original:  It reproduces the "flickering" behaviour of hippocampal maps seen when rodents navigate to changing reward locations, and gives a quantitative account of trajectory-dependent hippocampal representations (so-called splitter cells) and their dynamics.
Revised:  It reproduces the "flickering" behaviour of hippocampal maps seen when rodents navigate to changing reward locations, and gives a quantitative account of trajectory-dependent place cells (so-called splitter cells) and their dynamics.
Edit intent: clarity
Original: The efficient and timely access to patient data is essential for successful patient treatment in clinical wards. Even though, most of the patient data is stored electronically, e.g. in the electronic health record (EHR), relevant patient information is frequently captured, processed and passed in non-electronic form in day-to-day ward routines, e. g. during wardrounds or at shift handover. Following a disruptive design mode, we present a design and development approach comprising a fundamental visualization concept that is refined in a feedback-loop between computer scientists, sociologists and physicians in  order to support peri-operative collaborative workflows on a neurosurgical hospital ward.
Revised: Electronic health records (EHR) systematically represent patient data in order to support peri-operative collaborative workflows on a neurosurgical hospital ward.
Edit intent: coherence
Original:  Following a disruptive design mode, we present a design and development approach comprising a fundamental visualization concept that is refined in a feedback-loop between computer scientists, sociologists and physicians in  order to support peri-operative collaborative workflows on a neurosurgical hospital ward.
Revised:  Following a disruptive design mode, we present a design and development approach comprising a fundamental visualization concept that is refined in a feedback-loop between computer scientists, sociologists and physicians in digital form. However, text and visualization based EHR systems are poorly integrated in the hospital workflow due to their complex and rather non-intuitive access structure. This is especially disadvantageous in clinical cooperative situations that require an efficient, task specific information transfer. In this paper we introduce a novel concept of anatomically integrated in-place visualization designed to engage with cooperative tasks on a neurosurgical ward. Based on the findings of our field studies and the derived design goals, we propose an approach that follows a visual tradition in medicine, which is tightly related with anatomy, by using a virtual patient's body as spatial representation of visually encoded abstract medical data. More specifically, we provide a generic set of formal requirements for these kinds of in-place visualizations, we apply these requirements in order to support peri-operative collaborative workflows on a neurosurgical hospital ward.
Edit intent: meaning-changed
Original:  Following a disruptive design mode, we present a design and development approach comprising a fundamental visualization concept that is refined in a feedback-loop between computer scientists, sociologists and physicians in  order to support peri-operative collaborative workflows on a neurosurgical hospital ward. The resulting prototype realizes on-patient visualization methods using an anatomical avatar. It allows for the visual access of medical data with spatial reference relevant for spinal disc herniation and it handles various quantitative and qualitative medical data related to the same anatomical structure as well as referring to hidden and /or small anatomical structures with limited detectability.
Revised:  Following a disruptive design mode, we present a design and development approach comprising a fundamental visualization concept that is refined in a feedback-loop between computer scientists, sociologists and physicians in order to achieve a specific visualization of neurological symptoms related to the differential diagnosis of spinal disc herniation and it handles various quantitative and qualitative medical data related to the same anatomical structure as well as referring to hidden and /or small anatomical structures with limited detectability.
Edit intent: clarity
Original:  It allows for the visual access of medical data with spatial reference relevant for spinal disc herniation and it handles various quantitative and qualitative medical data related to the same anatomical structure as well as referring to hidden and /or small anatomical structures with limited detectability. Furthermore, temporal changes of medical data are made accessible .
Revised:  It allows for the visual access of medical data with spatial reference relevant for spinal disc herniation , and we present a prototypical implementation of the visualization concept on a mobile device. Moreover, we discuss various challenges related to visual encoding and visibility of the body model components. Finally, the prototype is evaluated by 10 neurosurgeons, who assess the validity and the further potential of the proposed approach .
Edit intent: meaning-changed
Original: The aim of this paper is to estimate short-term forecasts of the US GDP components by expenditure approach sooner than they are officially released by the national institutions of statistics .
Revised: This paper aims to examine the use of sparse methods to forecast the real, in the chain-linked volume sense, expenditure components of the US and EU GDP in the short-run sooner than the US GDP components by expenditure approach sooner than they are officially released by the national institutions of statistics .
Edit intent: meaning-changed
Original: The aim of this paper is to estimate short-term forecasts of the US GDP components by expenditure approach sooner than they are officially released by the national institutions of statistics . For this reason, nowcasts along with 1- and 2-quarter forecasts are estimated by using available monthly information , officially released with a considerably smaller delay.
Revised: The aim of this paper is to estimate short-term forecasts of the US GDP components by expenditure approach sooner than they are officially released by the national institutions of statistics officially release the data. We estimate current quarter nowcasts along with 1- and 2-quarter forecasts are estimated by using available monthly information , officially released with a considerably smaller delay.
Edit intent: meaning-changed
Original:  The high-dimensionality problem of the monthly dataset used is solved by assuming sparse structures for the choice of leading indicators, capable of adequately explaining the dynamics of the GDP components. Variable selection and the estimation of the forecasts is performed by using the LASSO method, together with some of its popular modifications.
Revised:  The high-dimensionality problem of the monthly dataset used is solved by assuming sparse structures for the choice of leading indicators, capable of adequately explaining the dynamics of analyzed data. For variable selection and estimation of the forecasts is performed by using the LASSO method, together with some of its popular modifications.
Edit intent: clarity
Original:  Variable selection and the estimation of the forecasts is performed by using the LASSO method, together with some of its popular modifications. Additionally, a modification of the LASSO is proposed, combining the methods of LASSO and principal components , in order to further improve the forecasting performance.
Revised:  Variable selection and the estimation of the forecasts , we use the sparse methods - LASSO together with its recent modifications. We propose an adjustment that combines LASSO cases with principal components analysis that deemed to improve the forecasting performance.
Edit intent: clarity
Original:  Forecast accuracy of the models is evaluated by conducting pseudo-real-time forecasting exercises for four components of the GDP over the sample of 2005-2015, and compared with the benchmark ARMA models.
Revised:  Forecast accuracy of the models is evaluated by conducting pseudo-real-time experiments for gross fixed capital formation, private consumption, imports and exports over the sample of 2005-2015, and compared with the benchmark ARMA models.
Edit intent: meaning-changed
Original:  Forecast accuracy of the models is evaluated by conducting pseudo-real-time forecasting exercises for four components of the GDP over the sample of 2005-2015, and compared with the benchmark ARMA models.
Revised:  Forecast accuracy of the models is evaluated by conducting pseudo-real-time forecasting exercises for four components of the GDP over the sample of 2005-2019, compared with benchmark ARMA and factor models.
Edit intent: meaning-changed
Original:  It polymerizes a specific protein in a step-by-step manner as directed by the corresponding  template messenger RNA (mRNA) and this process is referred to as `translation' of the genetic message encoded in the sequence of mRNA transcript.
Revised:  It polymerizes a protein in a step-by-step manner as directed by the corresponding template messenger RNA (mRNA) and this process is referred to as `translation' of the genetic message encoded in the sequence of mRNA transcript.
Edit intent: clarity
Original:  It polymerizes a specific protein in a step-by-step manner as directed by the corresponding  template messenger RNA (mRNA) and this process is referred to as `translation' of the genetic message encoded in the sequence of mRNA transcript.
Revised:  It polymerizes a specific protein in a step-by-step manner as directed by the corresponding nucleotide sequence on the template messenger RNA (mRNA) and this process is referred to as `translation' of the genetic message encoded in the sequence of mRNA transcript.
Edit intent: meaning-changed
Original:  Therefore, a ribosome is also regarded as a molecular motor for which the mRNA serves as the track, its step size is that of a codon and two molecules of GTP  hydrolyzed in that cycle serve as its fuel.
Revised:  Therefore, a ribosome is also regarded as a molecular motor for which the mRNA serves as the track, its step size is that of a codon and two molecules of GTP and one molecule of ATP hydrolyzed in that cycle serve as its fuel.
Edit intent: meaning-changed
Original:  What adds further complexity is the existence of branched pathways and futile consumption of fuel that leads neither to elongation of the nascent protein nor forward stepping of the ribosome on its track.
Revised:  What adds further complexity is the existence of competing pathways leading to distinct cycles, branched pathways in each cycle and futile consumption of fuel that leads neither to elongation of the nascent protein nor forward stepping of the ribosome on its track.
Edit intent: meaning-changed
Original:  We investigate a model based on the network of the seven discrete chemo-mechanical states of a ribosome using a graph-theoretic approach to derive the exact solution of the corresponding master equations.
Revised:  We investigate a model based on the network of the seven discrete chemo-mechanical states of a ribosome during the elongation stage of translation. The model is analyzed using a combination of stochastic thermodynamic and kinetic analysis based on a graph-theoretic approach to derive the exact solution of the corresponding master equations.
Edit intent: meaning-changed
Original: In a recent work, Chierichetti et al. studied the following "fair" variants of classical clustering problems such as k-means and k-median: given a set of n data points in R^d and a binary type associated to each data point, the goal is to cluster the points while ensuring that the proportion of each type in each cluster is roughly the same as its underlying proportion.
Revised: In a recent work, 19 studied the following "fair" variants of classical clustering problems such as k-means and k-median: given a set of n data points in R^d and a binary type associated to each data point, the goal is to cluster the points while ensuring that the proportion of each type in each cluster is roughly the same as its underlying proportion.
Edit intent: clarity
Original:  Subsequent work has focused on either extending this setting to when each data point has multiple, non-disjoint sensitive types such as race and gender  , or to address the problem that the clustering algorithms in the above work do not scale well.
Revised:  Subsequent work has focused on either extending this setting to when each data point has multiple, non-disjoint sensitive types such as race and gender 6 , or to address the problem that the clustering algorithms in the above work do not scale well.
Edit intent: meaning-changed
Original:  The main contribution of this paper is an approach to clustering with fairness constraints that involve multiple, non-disjoint types, that is %DIFDELCMD < {\em %%% also scalable .
Revised:  The main contribution of this paper is an approach to clustering with fairness constraints that involve multiple, non-disjoint types, that is %DIFDELCMD < {\em %%% also scalable .
Edit intent: fluency
Original:  The former result is the first known coreset construction for the fair clustering problem with the k-median objective, and the latter result removes the dependence on the size of the full dataset as in Schmidt et al. and generalizes it to multiple, non-disjoint types.
Revised:  The former result is the first known coreset construction for the fair clustering problem with the k-median objective, and the latter result removes the dependence on the size of the full dataset as in 39 and generalizes it to multiple, non-disjoint types.
Edit intent: meaning-changed
Original:  Empirically, we assess our approach over the Adult and Bank  dataset, and show that the coreset sizes are much smaller than the full dataset ; applying coresets indeed accelerates the running time of computing the fair clustering objective while ensuring that the resulting objective difference is small ] \textbf{  .
Revised:  Empirically, we assess our approach over the Adult and Bank dataset, and show that the coreset sizes are much smaller than the full dataset . We also achieve a speed-up to recent fair clustering algorithms ] \textbf{ .
Edit intent: meaning-changed
Original:  At the heart of our approach is a set of machine learning models, which estimate at runtime the frames per second for a given user interaction input by running the computation-intensive web render engine on a specific processor core under a given clock speed.
Revised:  At the heart of our approach is a set of machine learning models, which estimate at runtime the frames per second for a given user interaction input by running the computation-intensive web render engine on a specific processor core under a given clock speed.
Edit intent: fluency
Original:  This translates to an over 10\\% improvement on energy-efficiency over a state-of-the-art event-based web browser scheduler, but with significantly fewer violations on the quality of service.abstract 
Revised:  This translates to an over 10\\% improvement on energy-efficiency over a state-of-the-art event-based web browser scheduler, but with significantly fewer violations on the quality of service.abstract \% on average and up to 70\%. This translates to an over 17\% improvement on energy-efficiency over a state-of-the-art event-based web browser scheduler, but with significantly fewer violations on the quality of service.
Edit intent: meaning-changed
Original:  Yet, energy-efficient mobile web browsing remains an outstanding challenge . Prior work in the field mainly focuses on the initial page loading stage  but fails to exploit the opportunities for energy-efficiency optimization while the user is interacting with a loaded page.
Revised:  Yet, web access on mobile devices remains an energy-hungry activity . Prior work in the field mainly focuses on the initial page loading stage but fails to exploit the opportunities for energy-efficiency optimization while the user is interacting with a loaded page.
Edit intent: clarity
Original:  Yet, energy-efficient mobile web browsing remains an outstanding challenge . Prior work in the field mainly focuses on the initial page loading stage  but fails to exploit the opportunities for energy-efficiency optimization while the user is interacting with a loaded page.
Revised:  Yet, energy-efficient mobile web browsing remains an outstanding challenge . Prior work in the field mainly focuses on the initial page loading stage , but fails to exploit the opportunities for energy-efficiency optimization while the user is interacting with a loaded page.
Edit intent: fluency
Original:  Our extensive experiments show that the proposed approach reduces  system-wide energy consumption by over 36 \% on average and up to 70\%. This translates to an over 17\% improvement on energy-efficiency over a state-of-the-art event-based web browser scheduler, but with significantly fewer violations on the quality of service.
Revised:  Our extensive experiments show that the proposed approach reduces system-wide energy consumption by over 36 
Edit intent: coherence
Original:  It further illustrates how the variational Bayes method provides a framework for a new computational engine, incorporating the 2-D cluster variation method (CVM), which provides a necessary free energy equation that can be minimized across both the external and representational system' s states, respectively.
Revised:  It further illustrates how the variational Bayes method provides a framework for a new computational engine, incorporating the 2-D cluster variation method (CVM), which provides a necessary free energy equation that can be minimized across both the external and representational systems' states, respectively.
Edit intent: fluency
Original:  The  binding event of RNAP to the active state of the gene is an probabilistic process and therefore introduces noise in the protein levels.
Revised:  The RNAP molecules can bind the gene only after the promoter gets activated by transcription factors. Several transcription factors bind the promoter to put the gene in the active state. The gene turns into the inactive state as the bound transcription factors leave the promoter. During the active period of the gene, many RNAP molecules transcribe the gene to synthesize the mRNA. The binding event of RNAP to the active state of the gene is an probabilistic process and therefore introduces noise in the protein levels.
Edit intent: meaning-changed
Original:   In this paper, we analytically calculate the noise in mRNA and protein levels and also the probability distribution of mRNA numbers exactly with the binding event of RNAP in gene transcription process.
Revised:  The binding event of RNAP to the active state of the gene is an probabilistic process and therefore introduces noise in the protein levels. In this paper, we analytically calculate the noise in mRNA and protein levels and also the probability distribution of mRNA numbers exactly with the binding event of RNAP in gene transcription process.
Edit intent: meaning-changed
Original:  Then, we show that the noise in mRNA level can be sub-Poissonian due to the reinitiation of transcription by RNAP and the mean mRNA level can be increased without increasing the noise  .
Revised:  Then, we show that the noise in mRNA level can be sub-Poissonian due to the reinitiation of transcription by RNAP and the mean mRNA level can be increased without increasing the noise . We find that the reinitiation of transcription behaves like the fine-tuned control process to regulate the mRNA/protein level in the cell .
Edit intent: meaning-changed
Original:  However, the difference between signal and noise is ill-defined, as it depends upon the application domain of the data. Common methods used to smooth line charts, such as rank filters, convolutional filters, frequency domain filters, and subsampling, optimize on various properties of the data.
Revised:  Conventional methods used to smooth line charts, such as rank filters, convolutional filters, frequency domain filters, and subsampling, optimize on various properties of the data.
Edit intent: coherence
Original:  The design goal of TopoLines is to smooth line charts while maintaining prominent peaks , as defined by persistent homology, in the data . We compare TopoLines to 5 popular line smoothing methods using data from 4 application domains .
Revised:  The design goal of TopoLines is to smooth line charts while maintaining prominent peaks , as defined by persistent homology, in the data while minimizing any residual error. We evaluate TopoLines for 2 visual analytics tasks by comparing to 5 popular line smoothing methods using data from 4 application domains .
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Original:  We compare TopoLines to 5 popular line smoothing methods using data from 4 application domains . We evaluate TopoLines in terms of l^2-norm of the residual as the simplification threshold is varied, and we perform a user study to evaluate users' perception of the accuracy of TopoLines .
Revised:  We compare TopoLines to 5 popular line smoothing methods using data from 4 application domains .
Edit intent: coherence
Original:  This paper presents practical tools along with applications for the analysis and control of multistate networks. The first result is a polynomial normal form representation for discrete functionsthat provides a partition of the inputs of the function into canalizing and non-canalizing variables and, within the canalizing ones, we categorize the input variables into layers of canalization.
Revised:  Regulatory rules that appear in published models tend to have special features such as the property of being nested canalizing, a concept inspired by the concept of canalization in evolutionary biology. We provide a polynomial normal form representation for discrete functionsthat provides a partition of the inputs of the function into canalizing and non-canalizing variables and, within the canalizing ones, we categorize the input variables into layers of canalization.
Edit intent: meaning-changed