wanyu/IteraTeR_full_sent huggingface dataset:
Original:  In  ternary mixtures containing polyunsaturated fatty acids , the presence of a single receptor did not significantly affect the likelihood of domain formation , and nAChR partitioned to the cholesterol-poor liquid-disordered domain whenever one was present.
Revised:  In ternary mixtures containing polyunsaturated fatty acids , the presence of a single receptor did not significantly affect the likelihood of domain formation , and nAChR partitioned to any cholesterol-poor liquid-disordered domain whenever one was present.
Edit intent: clarity
Original:  In  ternary mixtures containing polyunsaturated fatty acids , the presence of a single receptor did not significantly affect the likelihood of domain formation , and nAChR partitioned to the cholesterol-poor liquid-disordered domain whenever one was present. This was independent of whether the \l_{do domain lipids had PC or PE headgroups , but saturated lipids with PE headgroups were less depleted from the boundary than those with PC headgroups . Enrichment of unsaturated phospholipids among boundary lipids was positively correlated with their propensity for demixing from cholesterol-rich phases.
Revised:  In ternary mixtures containing polyunsaturated fatty acids , the presence of a single receptor did not significantly affect the likelihood of domain formation , and nAChR partitioned to the cholesterol-poor l_{do of whether the \l_{do domain lipids had PC or PE headgroups , but saturated lipids with PE headgroups were less depleted from the boundary than those with PC headgroups . Enrichment of unsaturated phospholipids among boundary lipids was positively correlated with their propensity for demixing from cholesterol-rich phases.
Edit intent: clarity
Original:  This was independent of whether the \l_{do domain lipids had PC or PE headgroups , but saturated lipids with PE headgroups were less depleted from the boundary than those with PC headgroups . Enrichment of unsaturated phospholipids among boundary lipids was positively correlated with their propensity for demixing from cholesterol-rich phases.
Revised:  This was independent of whether the l_{do domain lipids had PC or PE headgroups , but saturated lipids with PE headgroups were less depleted from the boundary than those with PC headgroups . Enrichment of unsaturated phospholipids among boundary lipids was positively correlated with their propensity for demixing from cholesterol-rich phases.
Edit intent: fluency
Original:  This was independent of whether the \l_{do domain lipids had PC or PE headgroups , but saturated lipids with PE headgroups were less depleted from the boundary than those with PC headgroups . Enrichment of unsaturated phospholipids among boundary lipids was positively correlated with their propensity for demixing from cholesterol-rich phases.
Revised:  This was independent of whether the \l_{do domain lipids had PC or PE headgroups . Enrichment of unsaturated phospholipids among boundary lipids was positively correlated with their propensity for demixing from cholesterol-rich phases.
Edit intent: coherence
Original:  This was independent of whether the \l_{do domain lipids had PC or PE headgroups , but saturated lipids with PE headgroups were less depleted from the boundary than those with PC headgroups . Enrichment of unsaturated phospholipids among boundary lipids was positively correlated with their propensity for demixing from cholesterol-rich phases.
Revised:  This was independent of whether the \l_{do domain lipids had PC or PE headgroups , but saturated lipids with PE headgroups were less depleted from the boundary than those with PC headgroups . Enrichment of PUFAs among boundary lipids was positively correlated with their propensity for demixing from cholesterol-rich phases.
Edit intent: clarity
Original:  Long n-3 chains (tested here with Docosahexaenoic Acid  ) were highly enriched in annular and non-annular embedded sites, partially displacing cholesterol and completely displacing DPPC, and occupying sites even deeper within the bundle.
Revised:  Long n - 3 chains (tested here with Docosahexaenoic Acid ) were highly enriched in annular and non-annular embedded sites, partially displacing cholesterol and completely displacing DPPC, and occupying sites even deeper within the bundle.
Edit intent: fluency
Original:  Long n-3 chains (tested here with Docosahexaenoic Acid  ) were highly enriched in annular and non-annular embedded sites, partially displacing cholesterol and completely displacing DPPC, and occupying sites even deeper within the bundle.
Revised:  Long n-3 chains (tested here with Docosahexaenoic Acid , DHA ) were highly enriched in annular and non-annular embedded sites, partially displacing cholesterol and completely displacing DPPC, and occupying sites even deeper within the bundle.
Edit intent: meaning-changed
Original:  In this work, we explore whether and how certain structural and functional  network motifs act as injury mitigation mechanisms by protecting these readouts . Specifically, we examine how (i) Hebbian learning, (ii) high levels of noise, and (iii) presence of parallel inhibitory and excitatory connections contribute to  robustness of the olfactory system in the Manduca sexta moth.
Revised:  In this work, we explore whether and how certain structural and functional neuronal network motifs act as injury mitigation mechanisms by protecting these readouts . Specifically, we examine how (i) Hebbian learning, (ii) high levels of noise, and (iii) presence of parallel inhibitory and excitatory connections contribute to robustness of the olfactory system in the Manduca sexta moth.
Edit intent: meaning-changed
Original:  In this work, we explore whether and how certain structural and functional  network motifs act as injury mitigation mechanisms by protecting these readouts . Specifically, we examine how (i) Hebbian learning, (ii) high levels of noise, and (iii) presence of parallel inhibitory and excitatory connections contribute to  robustness of the olfactory system in the Manduca sexta moth.
Revised:  In this work, we explore whether and how certain structural and functional network motifs act as injury mitigation mechanisms . Specifically, we examine how (i) Hebbian learning, (ii) high levels of noise, and (iii) presence of parallel inhibitory and excitatory connections contribute to robustness of the olfactory system in the Manduca sexta moth.
Edit intent: coherence
Original:  In this work, we explore whether and how certain structural and functional  network motifs act as injury mitigation mechanisms by protecting these readouts . Specifically, we examine how (i) Hebbian learning, (ii) high levels of noise, and (iii) presence of parallel inhibitory and excitatory connections contribute to  robustness of the olfactory system in the Manduca sexta moth.
Revised:  In this work, we explore whether and how certain structural and functional network motifs act as injury mitigation mechanisms by protecting these readouts . Specifically, we examine how (i) Hebbian learning, (ii) high levels of noise, and (iii) parallel inhibitory and excitatory connections contribute to robustness of the olfactory system in the Manduca sexta moth.
Edit intent: clarity
Original:  In this work, we explore whether and how certain structural and functional  network motifs act as injury mitigation mechanisms by protecting these readouts . Specifically, we examine how (i) Hebbian learning, (ii) high levels of noise, and (iii) presence of parallel inhibitory and excitatory connections contribute to  robustness of the olfactory system in the Manduca sexta moth.
Revised:  In this work, we explore whether and how certain structural and functional network motifs act as injury mitigation mechanisms by protecting these readouts . Specifically, we examine how (i) Hebbian learning, (ii) high levels of noise, and (iii) presence of parallel inhibitory and excitatory connections contribute to the robustness of the olfactory system in the Manduca sexta moth.
Edit intent: fluency
Original:  We simulate injuries on a detailed computational model of the moth olfactory network in which structures-under-test are parametrically varied. Neuronal impairments are modeled as focal axonal swellings, an axonal pathology observed across all severities of traumatic brain injuries and present in other leading brain disorders.
Revised:  We simulate injuries on a detailed computational model of the moth olfactory network calibrated to in vivo data. The injuries are modeled on focal axonal swellings, an axonal pathology observed across all severities of traumatic brain injuries and present in other leading brain disorders.
Edit intent: clarity
Original:  All three of the network motifs examined significantly mitigate the effects of injury on readout neurons, either by reducing injury's impact on readout neuron responses or by restoring these responses to pre-injury levels through reinforcement learning .
Revised:  All three of the network motifs examined significantly mitigate the effects of injury on readout neurons, either by reducing injury's impact on readout neuron responses or by restoring these responses to pre-injury levels .
Edit intent: clarity
Original:  To gain physical insights into their genetic basis, we study how liquid-liquid phase separation (LLPS) of intrinsically disordered proteins (IDPs) depends on their sequence charge patterns using a coarse-grained model wherein each amino acid residue is represented by a bead on a chain configured in real space.
Revised:  To gain physical insights into their genetic basis, we study how liquid-liquid phase separation (LLPS) of intrinsically disordered proteins (IDPs) depends on their sequence charge patterns using a continuum Langevin chain model wherein each amino acid residue is represented by a bead on a chain configured in real space.
Edit intent: meaning-changed
Original:  To gain physical insights into their genetic basis, we study how liquid-liquid phase separation (LLPS) of intrinsically disordered proteins (IDPs) depends on their sequence charge patterns using a coarse-grained model wherein each amino acid residue is represented by a bead on a chain configured in real space. Phase diagrams are determined by Langevin dynamics.
Revised:  To gain physical insights into their genetic basis, we study how liquid-liquid phase separation (LLPS) of intrinsically disordered proteins (IDPs) depends on their sequence charge patterns using a coarse-grained model wherein each amino acid residue is represented by a single bead.
Edit intent: clarity
Original:  Consistent with random phase approximation (RPA) theory and lattice simulations, LLPS propensity ( critical temperature T^*_{\rm cr} ) increases with increasingly negative SCD for a set of sequences showing a positive correlation between \kappa and -SCD.
Revised:  Consistent with random phase approximation (RPA) theory and lattice simulations, LLPS propensity as characterized by critical temperature T^*_{\rm cr} ) increases with increasingly negative SCD for a set of sequences showing a positive correlation between \kappa and -SCD.
Edit intent: meaning-changed
Original:  Consistent with random phase approximation (RPA) theory and lattice simulations, LLPS propensity ( critical temperature T^*_{\rm cr} ) increases with increasingly negative SCD for a set of sequences showing a positive correlation between \kappa and -SCD.
Revised:  Consistent with random phase approximation (RPA) theory and lattice simulations, LLPS propensity ( critical temperature T^*_{\rm cr} increases with increasingly negative SCD for a set of sequences showing a positive correlation between \kappa and -SCD.
Edit intent: fluency
Original:  In contrast , for a set of sequences exhibiting an anti-correlation between \kappa and -SCD, the simulated T^*_{\rm cr}'s are---contrary to RPA prediction---quite insensitive to \kappa or SCD . Additionally, we find that  the LLPS propensity of IDPs with a strictly alternating charge sequence might have been overestimated because stabilizing interactions among such sequences require spatial alignments that are more difficult to achieve in real space than stipulated by RPA or lattice models.
Revised:  However , for a set of sequences exhibiting an anti-correlation between \kappa and -SCD, the simulated T^*_{\rm cr}'s are---contrary to RPA prediction---quite insensitive to \kappa or SCD . Additionally, we find that the LLPS propensity of IDPs with a strictly alternating charge sequence might have been overestimated because stabilizing interactions among such sequences require spatial alignments that are more difficult to achieve in real space than stipulated by RPA or lattice models.
Edit intent: coherence
Original:  In contrast , for a set of sequences exhibiting an anti-correlation between \kappa and -SCD, the simulated T^*_{\rm cr}'s are---contrary to RPA prediction---quite insensitive to \kappa or SCD . Additionally, we find that  the LLPS propensity of IDPs with a strictly alternating charge sequence might have been overestimated because stabilizing interactions among such sequences require spatial alignments that are more difficult to achieve in real space than stipulated by RPA or lattice models.
Revised:  In contrast , for a set of sequences exhibiting an anti-correlation between \kappa and -SCD, the simulated T^*_{\rm cr}'s are quite insensitive to either parameters . Additionally, we find that the LLPS propensity of IDPs with a strictly alternating charge sequence might have been overestimated because stabilizing interactions among such sequences require spatial alignments that are more difficult to achieve in real space than stipulated by RPA or lattice models.
Edit intent: clarity
Original:  In contrast , for a set of sequences exhibiting an anti-correlation between \kappa and -SCD, the simulated T^*_{\rm cr}'s are---contrary to RPA prediction---quite insensitive to \kappa or SCD . Additionally, we find that  the LLPS propensity of IDPs with a strictly alternating charge sequence might have been overestimated because stabilizing interactions among such sequences require spatial alignments that are more difficult to achieve in real space than stipulated by RPA or lattice models.
Revised:  In contrast , for a set of sequences exhibiting an anti-correlation between \kappa and -SCD, the simulated T^*_{\rm cr}'s are---contrary to RPA prediction---quite insensitive to \kappa or SCD . Additionally, we find that blocky sequences that allow for strong electrostatic repulsion can lead to coexistence curves with upward concavity as stipulated by RPA, but the LLPS propensity of IDPs with a strictly alternating charge sequence might have been overestimated because stabilizing interactions among such sequences require spatial alignments that are more difficult to achieve in real space than stipulated by RPA or lattice models.
Edit intent: meaning-changed
Original:  In contrast , for a set of sequences exhibiting an anti-correlation between \kappa and -SCD, the simulated T^*_{\rm cr}'s are---contrary to RPA prediction---quite insensitive to \kappa or SCD . Additionally, we find that  the LLPS propensity of IDPs with a strictly alternating charge sequence might have been overestimated because stabilizing interactions among such sequences require spatial alignments that are more difficult to achieve in real space than stipulated by RPA or lattice models.
Revised:  In contrast , for a set of sequences exhibiting an anti-correlation between \kappa and -SCD, the simulated T^*_{\rm cr}'s are---contrary to RPA prediction---quite insensitive to \kappa or SCD . Additionally, we find that the LLPS propensity of a strictly alternating charge sequence might have been overestimated because stabilizing interactions among such sequences require spatial alignments that are more difficult to achieve in real space than stipulated by RPA or lattice models.
Edit intent: clarity
Original:  In contrast , for a set of sequences exhibiting an anti-correlation between \kappa and -SCD, the simulated T^*_{\rm cr}'s are---contrary to RPA prediction---quite insensitive to \kappa or SCD . Additionally, we find that  the LLPS propensity of IDPs with a strictly alternating charge sequence might have been overestimated because stabilizing interactions among such sequences require spatial alignments that are more difficult to achieve in real space than stipulated by RPA or lattice models.
Revised:  In contrast , for a set of sequences exhibiting an anti-correlation between \kappa and -SCD, the simulated T^*_{\rm cr}'s are---contrary to RPA prediction---quite insensitive to \kappa or SCD . Additionally, we find that the LLPS propensity of IDPs with a strictly alternating charge sequence was likely overestimated by RPA and lattice models because interchain stabilization of this sequence requires spatial alignments that are more difficult to achieve in real space than stipulated by RPA or lattice models.
Edit intent: clarity
Original:  In contrast , for a set of sequences exhibiting an anti-correlation between \kappa and -SCD, the simulated T^*_{\rm cr}'s are---contrary to RPA prediction---quite insensitive to \kappa or SCD . Additionally, we find that  the LLPS propensity of IDPs with a strictly alternating charge sequence might have been overestimated because stabilizing interactions among such sequences require spatial alignments that are more difficult to achieve in real space than stipulated by RPA or lattice models.
Revised:  In contrast , for a set of sequences exhibiting an anti-correlation between \kappa and -SCD, the simulated T^*_{\rm cr}'s are---contrary to RPA prediction---quite insensitive to \kappa or SCD . Additionally, we find that the LLPS propensity of IDPs with a strictly alternating charge sequence might have been overestimated because stabilizing interactions among such sequences require spatial alignments that are difficult to achieve in real space than stipulated by RPA or lattice models.
Edit intent: clarity
Original:  In contrast , for a set of sequences exhibiting an anti-correlation between \kappa and -SCD, the simulated T^*_{\rm cr}'s are---contrary to RPA prediction---quite insensitive to \kappa or SCD . Additionally, we find that  the LLPS propensity of IDPs with a strictly alternating charge sequence might have been overestimated because stabilizing interactions among such sequences require spatial alignments that are more difficult to achieve in real space than stipulated by RPA or lattice models. Taken together, our results underscore both the utility and limitations of RPA as well as the \kappa and SCD parameters .
Revised:  In contrast , for a set of sequences exhibiting an anti-correlation between \kappa and -SCD, the simulated T^*_{\rm cr}'s are---contrary to RPA prediction---quite insensitive to \kappa or SCD . Additionally, we find that the LLPS propensity of IDPs with a strictly alternating charge sequence might have been overestimated because stabilizing interactions among such sequences require spatial alignments that are more difficult to achieve in real space . These results help delineate the utility and limitations of RPA as well as the \kappa and SCD parameters .
Edit intent: clarity
Original:  To solve our estimation problems in a convex framework, we apply alternating direction method of multiplier (ADMM) which is shown to be suitable for a large-scale implementation. In combination with applying model selection criteria, the penalty parameter in the regularized estimation, controlling the density of nonzero entries in the path matrix, can be chosen to provide a reasonable trade-off between the model fitting and the complexity of causality structure.
Revised:  To solve our estimation problems in a convex framework, we apply alternating direction method of multiplier (ADMM) which is shown to be suitable for a large-scale setting.
Edit intent: clarity
Original:  The performance of our approach is demonstrated in both simulated and real data sets, and with a comparison of existing methods. Real application results include learning causality among climate variables in Thailand where our findings can explain known relations among air pollutants and weather variables.
Revised:  The performance of our approach is demonstrated in both simulated and real data sets, and in comparison with an existing method. When applied to two real application results ( learning causality among climate variables in Thailand where our findings can explain known relations among air pollutants and weather variables.
Edit intent: meaning-changed
Original:  Real application results include learning causality among climate variables in Thailand where our findings can explain known relations among air pollutants and weather variables. The other experiment is to explore connectivities among brain regions using fMRI time series from ABIDE data sets where our results are interpreted to explain brain network differencesin autism patients .
Revised:  Real application results include learning causality among climate variables in Thailand and examining connectivity differences in autism patients using fMRI time series from ABIDE data sets where our results are interpreted to explain brain network differencesin autism patients .
Edit intent: clarity
Original:  Result demonstrate that the data-driven method presented in this study can improve identifiability in resting-state functional connectomes in multi-site studies.
Revised:  Post-hoc analyses assessed the effect of the number of fMRI volumes on identifiability and showed that multi-site differential identifiability was for all cases maximized after optimal reconstruction. The generalizability of the optimal set of orthogonal basis of each dataset was evaluated through a leave-one-out procedure. Overall, results demonstrate that the data-driven method presented in this study can improve identifiability in resting-state functional connectomes in multi-site studies.
Edit intent: meaning-changed
Original: Statistical analysis of functional images (signals) allows the assessment of neural connectivity patterns at mesoscopic scale. Scalp fields, recorded with Magneto-Electro Encephalography MEEG, strongly correlate to the average effect of synaptic activity, i.e. Primary Current Density (PCD) at the Gray Matter space.
Revised: The noninvasive procedures for neural connectivity are under questioning. Theoretical models sustain that the electromagnetic field registered at external sensors is elicited by currents at neural space.
Edit intent: meaning-changed
Original:  Nevertheless, what is observed at the sensor space with either technique is a superposition of projected fields, from the whole Gray-Matter PCD. That is the reason for a major pitfall of MEEG analysis methods, distorted reconstruction of source activity and its connectivity or "Leakage".
Revised:  Nevertheless, what is observed at the sensor space with either technique is a superposition of projected fields, from the whole gray-matter. This is the reason for a major pitfall of MEEG analysis methods, distorted reconstruction of source activity and its connectivity or "Leakage".
Edit intent: coherence
Original:  We introduce a system theoretic formalism of MEEG connectivity alongside its Bayesian inference: Hidden Hermitian Gaussian Graphical Model (H-HGGM). This is a source (state) GGM hidden by the MEEG observation equation , i. e. equivalent to a frequency domain Linear State Space Model (LSSM) . It is unhidden due to the Type II Likelihood approximated representation: Expected Log-Likelihood (ELL).
Revised:  We introduce a new formalism that attains for it, Hidden Gaussian Graphical State-Model (HIGGS). A neural Gaussian Graphical Model (GGM) hidden by the MEEG observation equation , i. e. equivalent to a frequency domain Linear State Space Model (LSSM) . It is unhidden due to the Type II Likelihood approximated representation: Expected Log-Likelihood (ELL).
Edit intent: meaning-changed