wanyu/IteraTeR_full_sent huggingface dataset:
Original:  Through comparison with published experimental results we demonstrate the importance of appropriately representing IP3R gating, verify that our model is capable of reproducing known disease phenotypes in the calcium transientthrough alteration of channel properties , and examine how sensitive the cardiac cell is to IP3 . A key result of our study is that increasing IP3 concentration increases calcium transient duration but may not always lead to positive inotropy.
Revised:  Through comparison with published experimental results we demonstrate the importance of appropriately representing IP3R gating, verify that our model is capable of reproducing known disease phenotypes in the calcium transientthrough alteration of channel properties , and examine how sensitive the cardiac cell is to IP3 . A key result of our study is that IP3R activation increases Ca2+ transient duration for a broad range of IP3R properties, but the effect of IP3R activation on Ca2+ transient amplitude is dependent on IP3 concentration increases calcium transient duration but may not always lead to positive inotropy.
Edit intent: meaning-changed
Original:  Through comparison with published experimental results we demonstrate the importance of appropriately representing IP3R gating, verify that our model is capable of reproducing known disease phenotypes in the calcium transientthrough alteration of channel properties , and examine how sensitive the cardiac cell is to IP3 . A key result of our study is that increasing IP3 concentration increases calcium transient duration but may not always lead to positive inotropy. This work, together with the recent study by Hannanta-anan and Chow, suggests a ]  plausible mechanism for IP3-dependent hypertrophic signalling in cardiomyocytes.
Revised:  Through comparison with published experimental results we demonstrate the importance of appropriately representing IP3R gating, verify that our model is capable of reproducing known disease phenotypes in the calcium transientthrough alteration of channel properties , and examine how sensitive the cardiac cell is to IP3 . A key result of our study is that increasing IP3 concentration. Furthermore we demonstrate that IP3-mediated Ca2+ release in the cytosol increases the duty cycle of the Ca2+ transient, the fraction of the cycle for which ] plausible mechanism for IP3-dependent hypertrophic signalling in cardiomyocytes.
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Original:  This work, together with the recent study by Hannanta-anan and Chow, suggests a ]  plausible mechanism for IP3-dependent hypertrophic signalling in cardiomyocytes.
Revised:  This work, together with the recent study by Hannanta-anan and Chow, suggests a Ca2+] plausible mechanism for IP3-dependent hypertrophic signalling in cardiomyocytes.
Edit intent: meaning-changed
Original:  This work, together with the recent study by Hannanta-anan and Chow, suggests a ]  plausible mechanism for IP3-dependent hypertrophic signalling in cardiomyocytes.
Revised:  This work, together with the recent study by Hannanta-anan and Chow, suggests a ] is elevated, across a broad range of parameter values and IP3 concentrations. When coupled to a model of downstream transcription factor (NFAT) activation, we demonstrate that there is a high correspondence between the Ca transient duty cycle and the proportion of activated NFAT in the nucleus. These findings suggest increased cytosolic Ca2+ duty cycle as a plausible mechanism for IP3-dependent hypertrophic signalling in cardiomyocytes.
Edit intent: meaning-changed
Original:  This work, together with the recent study by Hannanta-anan and Chow, suggests a ]  plausible mechanism for IP3-dependent hypertrophic signalling in cardiomyocytes.
Revised:  This work, together with the recent study by Hannanta-anan and Chow, suggests a ] plausible mechanism for IP3-dependent hypertrophic signalling via Ca2+-sensitive transcription factors such as NFAT in ventricular cardiomyocytes.
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Original:  Also, our theory suggests a simple strategy for producing  defect-free patterns.
Revised:  We show that outside this range of parameters, in particular for low cis-coupling, a novel kind of pattern is produced, where high Delta cells have high Notch as well. It also suggests that the biological system is only weakly first order, so that an additional mechanism is required to generate the observed defect-free patterns. We construct a simple strategy for producing defect-free patterns.
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Original: With the fast development of peer to peer (P2P) lending , financial institutions have a substantial challenge from benefit loss due to the delinquent behaviors of the money borrowers .
Revised: With the fast development of peer to peer (P2P) lending platform, investors hope to maximize their return while minimizing the risk through a comprehensive understanding of the P2P market. A low and stable average default rate across all the borrowers denotes a healthy P2P market and provides investors more confidence in a promising investment .
Edit intent: coherence
Original:  In this paper, we comprehensively study the changing trend of the default rate of P2P USA market at the aggregative level from August 2007 to January 2016.
Revised:  Different from previous studies that focus on modeling the default rate at the individual level, in this paper, we comprehensively study the changing trend of the default rate of P2P USA market at the aggregative level from August 2007 to January 2016.
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Original:  In this paper, we comprehensively study the changing trend of the default rate of P2P USA market at the aggregative level from August 2007 to January 2016. From the data visualization perspective, we found that three features, including delinq_2yrs, recoveries, and collection_recovery_fee, could potentially increase the default rate. The long short-term memory (LSTM) approach shows its great potential in modeling the P2P transaction data .
Revised:  In this paper, we comprehensively study the changing trend of the default rate of P2P USA market at the aggregative level from August 2007 to January 2016 in the US. We use the long short term memory (LSTM) approach shows its great potential in modeling the P2P transaction data .
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Original:  Specifically, we provide a tractable characterisation of the region of parameter values that exhausts all the implications of the model and data (the sharp identified set ) , under various classes of nonparametric distributional assumptions on the unobserved terms.
Revised:  We provide a tractable characterisation of the region of parameter values that exhausts all the implications of the model and data (the sharp identified set ) , under various classes of nonparametric distributional assumptions on the unobserved terms.
Edit intent: coherence
Original:  Specifically, we provide a tractable characterisation of the region of parameter values that exhausts all the implications of the model and data (the sharp identified set ) , under various classes of nonparametric distributional assumptions on the unobserved terms.
Revised:  Specifically, we provide a tractable characterisation of the sharp identified set ) , under various classes of nonparametric distributional assumptions on the unobserved terms.
Edit intent: clarity
Original:  Specifically, we provide a tractable characterisation of the region of parameter values that exhausts all the implications of the model and data (the sharp identified set ) , under various classes of nonparametric distributional assumptions on the unobserved terms.
Revised:  Specifically, we provide a tractable characterisation of the region of parameter values that exhausts all the implications of the model and data (the sharp identified set , under various classes of nonparametric distributional assumptions on the unobserved terms.
Edit intent: fluency
Original:  When the analyst has data on one large market only , we study  identification of the systematic components of the agents' preferences without imposing parametric  restrictions on the probability distribution of the latent variables .
Revised:  When the analyst has data on one large market only , we study identification of the preference parameters in models of one-to-one matching with transfers without imposing parametric restrictions on the probability distribution of the latent variables .
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Original:  We provide a tractable characterisation of the sharp identified set  , under various classes of nonparametric distributional assumptions on the unobserved terms. Simulations suggest that the model can be informative about the sign and magnitude of the systematic components of the agents' preferences, under different nonparametric distributional restrictions. We also discuss a way to conduct inference on the sharp identified set. We use our methodology to investigate if the variations in marriage matching patterns observed over time in the U.S. are caused by changes in the agents' preferences for assortativeness in education .
Revised:  We provide a tractable characterisation of the sharp identified set , under various classes of nonparametric distributional assumptions on the agents' unobserved characteristics. We use our methodology to investigate if the variations in marriage matching patterns observed over time in the U.S. are caused by changes in the agents' preferences for assortativeness in education .
Edit intent: clarity
Original:  We use our methodology to investigate if the variations in marriage matching patterns observed over time in the U.S. are caused by changes in the agents' preferences for assortativeness in education .
Revised:  We use our methodology to investigate if the variations in marriage matching patterns observed over time in the U.S. are caused by changes in the agents' preferences for education assortativeness or by a shift in the proportion of educated women .
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Original: When the analyst has data on one large market, we study partial identification of the preference parameters in models of one-to-one matching with transfers without imposing parametric distributional restrictions on the agents' unobserved characteristics .
Revised: When the analyst has data on one large market, we study partial identification of the preference parameters in models of one-to-one matching with perfectly transferable utilities, without imposing parametric distributional restrictions on the agents' unobserved characteristics .
Edit intent: meaning-changed
Original: When the analyst has data on one large market, we study partial identification of the preference parameters in models of one-to-one matching with transfers without imposing parametric distributional restrictions on the agents' unobserved characteristics .
Revised: When the analyst has data on one large market, we study partial identification of the preference parameters in models of one-to-one matching with transfers without imposing parametric distributional restrictions on the unobserved heterogeneity and with data on one large market .
Edit intent: clarity
Original:  We provide a tractable characterisation of the sharp identified setand discuss inference , under various classes of nonparametric distributional assumptions on the agents' unobserved characteristics. We use our methodologyto test if the variations in marriage matching patterns observed over time in the U.S. are caused by changes in the agents' preferences for education assortativeness or by a shift in the proportion of educated women .
Revised:  We provide a tractable characterisation of the sharp identified setand discuss inference , under various classes of nonparametric distributional assumptions on the unobserved heterogeneity. Using our methodology, we re-examine some of the relevant questions in the empirical literature on the marriage market which have been previously studied under the Multinomial Logit assumption .
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Original:  These transitions are often phase transitions that generate early-warning signs and provide insights into the underlying disease-driving mechanism(s) . In this paper, we propose a computational method to discover indicators of such transitions in a multivariate time series dataset of critical care patients (MIMIC-III database).
Revised:  These transitions often spawn early-warning signs and provide insights into the underlying disease-driving mechanism(s) . In this paper, we propose a computational method to discover indicators of such transitions in a multivariate time series dataset of critical care patients (MIMIC-III database).
Edit intent: clarity
Original:  These transitions are often phase transitions that generate early-warning signs and provide insights into the underlying disease-driving mechanism(s) . In this paper, we propose a computational method to discover indicators of such transitions in a multivariate time series dataset of critical care patients (MIMIC-III database).
Revised:  These transitions are often phase transitions that generate early-warning signals and provide insights into the underlying disease-driving mechanism(s) . In this paper, we propose a computational method to discover indicators of such transitions in a multivariate time series dataset of critical care patients (MIMIC-III database).
Edit intent: clarity
Original:  These transitions are often phase transitions that generate early-warning signs and provide insights into the underlying disease-driving mechanism(s) . In this paper, we propose a computational method to discover indicators of such transitions in a multivariate time series dataset of critical care patients (MIMIC-III database).
Revised:  These transitions are often phase transitions that generate early-warning signs and provide insights into the underlying disease-driving mechanisms . In this paper, we propose a computational method to discover indicators of such transitions in a multivariate time series dataset of critical care patients (MIMIC-III database).
Edit intent: fluency
Original:  These transitions are often phase transitions that generate early-warning signs and provide insights into the underlying disease-driving mechanism(s) . In this paper, we propose a computational method to discover indicators of such transitions in a multivariate time series dataset of critical care patients (MIMIC-III database).
Revised:  These transitions are often phase transitions that generate early-warning signs and provide insights into the underlying disease-driving mechanism(s) . In this paper, we propose a computational method based on surprise loss (SL) to discover data-driven indicators of such transitions in a multivariate time series dataset of critical care patients (MIMIC-III database).
Edit intent: meaning-changed
Original:  These transitions are often phase transitions that generate early-warning signs and provide insights into the underlying disease-driving mechanism(s) . In this paper, we propose a computational method to discover indicators of such transitions in a multivariate time series dataset of critical care patients (MIMIC-III database).
Revised:  These transitions are often phase transitions that generate early-warning signs and provide insights into the underlying disease-driving mechanism(s) . In this paper, we propose a computational method to discover indicators of such transitions in a multivariate time series dataset of septic shock and non-sepsis patient cohorts (MIMIC-III database).
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Original:  Our main motivation is to model the dataset mathematically and to quantify the deterioration of the model's forecast  performance relative to its past performance. Our data-sampling strategy around putative time-points of critical transitions offer early differentiation capability between septic shock and non-sepsis patients .
Revised:  Our main motivation is to model the dataset mathematically and to quantify the deterioration of the model's forecast performance relative to its past (in-sample) performance. Considering the highest value of the moving average of SL as a critical transition, our retrospective analysis revealed that critical transitions occurred at a median of over 35 hours before the onset of septic shock, which suggests the applicability of our method as an early-warning indicator. Furthermore, we show that clinical variables at critical-transition regions are significantly different between septic shock and non-sepsis patients .
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Original:  Our data-sampling strategy around putative time-points of critical transitions offer early differentiation capability between septic shock and non-sepsis patients .
Revised:  Our data-sampling strategy around putative time-points of critical transitions offer early differentiation capability between septic shock and non-sepsis cohorts. Therefore, our paper contributes a critical-transition-based data-sampling strategy that can be utilized for further analysis, such as patient classification. Moreover, our method outperformed other indicators of critical transition in complex systems, such as temporal autocorrelation and variance .
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Original:  We underline the potential of circular polarization signals as a remotely accessible means to characterize terrestrial life and detecting the presence of extraterrestrial life.
Revised:  We underline the potential of circular polarization signals as a remotely accessible means to characterize and monitor terrestrial vegetation, e.g. for agriculture and forestry. Additionally, we discuss the potential of circular polarization for the remote detection of extraterrestrial life.
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Original:  For ribozymes, divalent cations are known to be more efficient than monovalent ions in driving them to a compact state although often Mg^{2+} ions are needed for catalytic activity .
Revised:  For ribozymes, divalent cations are known to be more efficient than monovalent ions in driving them to a compact state although Mg^{2+} ions are needed for catalytic activity .
Edit intent: coherence
Original:  For ribozymes, divalent cations are known to be more efficient than monovalent ions in driving them to a compact state although often Mg^{2+} ions are needed for catalytic activity .
Revised:  For ribozymes, divalent cations are known to be more efficient than monovalent ions in driving them to a compact state although often Mg^{2+} ions are needed for catalytic activities .
Edit intent: fluency
Original: A dynamic network-centric approach to study two-state folding from native structure called network dynamics (ND) is introduced. ND applies two fundamental principles of protein folding : hydrophobicity and loop-entropy, on a protein's native residue network (PRN0) to generate its native shortcut network (SCN0).
Revised: A dynamic network-centric approach to study two-state folding from native structure called network dynamics (ND) model is proposed. ND views protein folding as a partial ordering of contacts in a native-state Protein Residue Network (PRN0) to generate its native shortcut network (SCN0).
Edit intent: clarity
Original:  The calculated phi-values based on centrality of nodes in ND networks are competitive with phi-values calculated from transition-state ensemble PRNs, but are less so than phi-values calculated as local centrality (a measure introduced in this paper) of nodes in PRN0s.
Revised:  The calculated phi-values based on centrality of nodes in ND PRNs are competitive with phi-values calculated from transition-state ensemble PRNs, but are less so than phi-values calculated as local centrality (a measure introduced in this paper) of nodes in PRN0s.
Edit intent: clarity
Original:  Of the five ND variants tested, the best results at  the macroscopic, mesoscopic and microscopic levels, were produced by a single variant. These ND results extend the utility of protein structure networks to the investigation of partially folded structures, and to the folding process itself .
Revised:  Of the five ND variants tested, the best results at the macroscopic, mesoscopic and microscopic levels, were produced by a single ND variant. Further preliminary exploration of mixed ND variants by chain fold type suggests that these results could be improved with context-sensitive model parameters, and that the ND model could be extended to multi-state folders .
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Original:  we differentiate between "integral" exposure (when we care for how long the path sees every point of the domain) and "0/1" exposure (just counting whether a point is seen by the path or not).
Revised:  we differentiate between integral exposure (when we care for how long the path sees every point of the domain) and "0/1" exposure (just counting whether a point is seen by the path or not).
Edit intent: fluency
Original:  we differentiate between "integral" exposure (when we care for how long the path sees every point of the domain) and "0/1" exposure (just counting whether a point is seen by the path or not).
Revised:  we differentiate between "integral" exposure (when we care about how long the path sees every point of the domain) and "0/1" exposure (just counting whether a point is seen by the path or not).
Edit intent: fluency
Original:  we differentiate between "integral" exposure (when we care for how long the path sees every point of the domain) and "0/1" exposure (just counting whether a point is seen by the path or not).
Revised:  we differentiate between "integral" exposure (when we care for how long the path sees every point of the domain) and 0/1 exposure (just counting whether a point is seen by the path or not).
Edit intent: fluency
Original: We give an existence result for the principal-agent problem with adverse selection under general preferences and non-compact allocation space. The result is mainly based on the fact that the principal can always improve a feasible contract by another one which makes larger profit than the outside option from any type of agent. We also treat the case of type-dependent budget constraints.
Revised: We give an existence result for the principal-agent problem with adverse selection under general assumptions on preferences and allocation spaces. Instead of assuming that the allocation space is finite-dimensional or compact, we consider a more general coercivity condition which takes into account the principal's cost and the agents' preferences. Our existence proof is simple and flexible enough to adapt to partial participation models as well as to the case of type-dependent budget constraints.
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Original:  We moreover demonstrate that the proposed encoding mechanism naturally  maps shifts, rotations and scaling of the stimuli onto the shape of grid cells' receptive fields, giving a straightforward explanation of the experimental evidence of grid cells remapping under transformations of environmental cues.
Revised:  We moreover demonstrate that the proposed encoding mechanism naturally explains axis alignment of neighbor grid cells and maps shifts, rotations and scaling of the stimuli onto the shape of grid cells' receptive fields, giving a straightforward explanation of the experimental evidence of grid cells remapping under transformations of environmental cues.
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Original: We demonstrate the first possibility of a sub-linear memory sketch for solving the approximate near-neighbor search problem. In particular, we develop an online sketching algorithm that can compress N vectors into a tiny sketch consisting of small arrays of counters whose size scales as O(N ^{b\log^2{N}) } ) in O(N^{b+1} \log^3{N}) time} , where b < 1 depending on the stability of the near-neighbor search.
Revised: We present the first sublinear memory sketch which can be queried to find the v nearest neighbors in a dataset. Our online sketching algorithm that can compress N vectors into a tiny sketch consisting of small arrays of counters whose size scales as O(N ^{b\log^2{N}) } ) in O(N^{b+1} \log^3{N}) time} , where b < 1 depending on the stability of the near-neighbor search.
Edit intent: meaning-changed