wanyu/IteraTeR_full_sent huggingface dataset:
Original:  The algorithm proves successful without any a priori knowledge of interaction partners, yielding a striking 0.93 true positive fraction on our complete dataset  , and we uncover the origin of this surprising success.
Revised:  The algorithm proves successful without any a priori knowledge of interaction partners, yielding a striking 0.93 true positive fraction on our complete dataset without any a priori knowledge of interaction partners , and we uncover the origin of this surprising success.
Edit intent: meaning-changed
Original:  The algorithm proves successful without any a priori knowledge of interaction partners, yielding a striking 0.93 true positive fraction on our complete dataset  , and we uncover the origin of this surprising success.
Revised:  The algorithm proves successful without any a priori knowledge of interaction partners, yielding a striking 0.93 true positive fraction on our complete dataset , and we uncover the origin of this success. We then apply the algorithm to proteins from ATP-binding cassette (ABC) transporter complexes, and obtain accurate predictions in these systems as well.
Edit intent: meaning-changed
Original:  By applying the concept to depreciation, Depreciable Asset Value Models can be formulated , that allow depreciation to be calculated in a manner consistent with financial theory. While the Basic Depreciable Asset Value Model formulated withinhas its limitations, more complex models , which factor in a greater number of variables, can be formulated using its logic .
Revised:  By applying the concept to depreciation, Depreciable Asset Value Models can be formulated to approximate the intrinsic valuation of a depreciable asset, which improves the capacity for buyers and sellers of assets to make rational decisions. A deprecation method is formulated within, which aims to better match book value with intrinsic value. While this method makes many assumptions and thus has limitations, more complex models , which factor in a greater number of variables, can be formulated using its logic .
Edit intent: meaning-changed
Original:  While the Basic Depreciable Asset Value Model formulated withinhas its limitations, more complex models , which factor in a greater number of variables, can be formulated using its logic .
Revised:  While the Basic Depreciable Asset Value Model formulated withinhas its limitations, more complex models , which factor in a greater number of variables, can be created using a similar approach, to produce better approximations for intrinsic value .
Edit intent: clarity
Original: We compare the predictive ability of several volatility models for a long series of weekly log-returns of the Dow Jones Industrial Average Index from 1902 to 2016. Our focus is particularly on predicting one and multi-step ahead conditional and aggregated conditional densities. Our set of competing models includes: Well-known GARCH specifications, Markov switching GARCH, sempiparametric GARCH, Generalised Autoregressive Score (GAS), the plain stochastic volatility (SV) as well as its more flexible extensions such as SV with leverage, in-mean effects and Student-t distributed errors .
Revised: The leverage effect refers to the well-established relationship between returns and volatility. When returns fall, volatility increases. We examine the role of the leverage effect with regards to generating density forecasts of equity returns using well-known observation and parameter-driven volatility models. These models differ in their assumptions regarding: The parametric specification, the evolution of the conditional volatility process and how the leverage effect is accounted for. The ability of a model to generate accurate density forecasts when the leverage effect is incorporated or not as well as its more flexible extensions such as SV with leverage, in-mean effects and Student-t distributed errors .
Edit intent: clarity
Original:  Our set of competing models includes: Well-known GARCH specifications, Markov switching GARCH, sempiparametric GARCH, Generalised Autoregressive Score (GAS), the plain stochastic volatility (SV) as well as its more flexible extensions such as SV with leverage, in-mean effects and Student-t distributed errors .
Revised:  Our set of competing models includes: Well-known GARCH specifications, Markov switching GARCH, sempiparametric GARCH, Generalised Autoregressive Score (GAS), the plain stochastic volatility (SV) as well as a comparison between different model-types is carried out using a large number of financial time-series .
Edit intent: meaning-changed
Original:  We find that : (i) SV models generally outperform the GARCH specifications, (ii): The SV model with leverage effect provides very strong out-of-sample performance in terms of one and multi-steps ahead density prediction, (iii) Differences in terms of Value-at-Risk (VaR) predictions accuracy are less evident. Thus, our results have an important implication: the best performing model depends on the evaluation criterion
Revised:  We find that , models with the leverage effect generally generate more accurate density forecasts compared to their no-leverage counterparts. Moreover, we also find that our choice with regards to how to model the leverage effect and the conditional log-volatility process is important in generating accurate density forecasts
Edit intent: coherence
Original: The macromolecules that encode and translate information in living systems  exhibit distinctive structural asymmetries, including homochirality or mirror image asymmetry and 3'-5' directionality, that are invariant across all life forms.
Revised: The macromolecules that encode and translate information in living systems , DNA and RNA, exhibit distinctive structural asymmetries, including homochirality or mirror image asymmetry and 3'-5' directionality, that are invariant across all life forms.
Edit intent: meaning-changed
Original:  Using a computational model of hypothetical self-replicating autocatalytic heteropolymers, we identify a fundamental symmetry-breaking mechanism that significantly increases the rate of replication of asymmetric heteropolymers, compared to their symmetric counterparts  .
Revised:  Here we construct a simple model of hypothetical self-replicating autocatalytic heteropolymers, we identify a fundamental symmetry-breaking mechanism that significantly increases the rate of replication of asymmetric heteropolymers, compared to their symmetric counterparts .
Edit intent: clarity
Original:  Using a computational model of hypothetical self-replicating autocatalytic heteropolymers, we identify a fundamental symmetry-breaking mechanism that significantly increases the rate of replication of asymmetric heteropolymers, compared to their symmetric counterparts  .
Revised:  Using a computational model of hypothetical self-replicating polymers to show that asymmetric autocatalytic polymers are more successful in self-replication compared to their symmetric counterparts .
Edit intent: clarity
Original:  Using a computational model of hypothetical self-replicating autocatalytic heteropolymers, we identify a fundamental symmetry-breaking mechanism that significantly increases the rate of replication of asymmetric heteropolymers, compared to their symmetric counterparts  .
Revised:  Using a computational model of hypothetical self-replicating autocatalytic heteropolymers, we identify a fundamental symmetry-breaking mechanism that significantly increases the rate of replication of asymmetric heteropolymers, compared to their symmetric counterparts in the Darwinian competition for space and common substrates .
Edit intent: meaning-changed
Original:  We provide experimental evidence suggestive of its presence in DNA. Asymmetric cooperativity is used to explain, apart from the broken symmetries mentioned above, a number of other properties of DNA that includes four nucleotide alphabet, three nucleotide codons,  helicity, anti-parallel double-strand orientation, heteromolecular base-pairing, asymmetric base compositions, and palindromic instability  .
Revised:  Asymmetric cooperativity also leads to simple evolution-based explanations for a number of other properties of DNA that includes four nucleotide alphabet, three nucleotide codons, helicity, anti-parallel double-strand orientation, heteromolecular base-pairing, asymmetric base compositions, and palindromic instability .
Edit intent: clarity
Original:  We provide experimental evidence suggestive of its presence in DNA. Asymmetric cooperativity is used to explain, apart from the broken symmetries mentioned above, a number of other properties of DNA that includes four nucleotide alphabet, three nucleotide codons,  helicity, anti-parallel double-strand orientation, heteromolecular base-pairing, asymmetric base compositions, and palindromic instability  .
Revised:  We provide experimental evidence suggestive of its presence in DNA. Asymmetric cooperativity is used to explain, apart from the broken symmetries mentioned above, a number of other properties of DNA that include four nucleotide alphabet, three nucleotide codons, helicity, anti-parallel double-strand orientation, heteromolecular base-pairing, asymmetric base compositions, and palindromic instability .
Edit intent: fluency
Original:  We provide experimental evidence suggestive of its presence in DNA. Asymmetric cooperativity is used to explain, apart from the broken symmetries mentioned above, a number of other properties of DNA that includes four nucleotide alphabet, three nucleotide codons,  helicity, anti-parallel double-strand orientation, heteromolecular base-pairing, asymmetric base compositions, and palindromic instability  .
Revised:  We provide experimental evidence suggestive of its presence in DNA. Asymmetric cooperativity is used to explain, apart from the broken symmetries mentioned above, a number of other properties of DNA that includes four nucleotide alphabet, three nucleotide codons, circular genomes, helicity, anti-parallel double-strand orientation, heteromolecular base-pairing, asymmetric base compositions, and palindromic instability .
Edit intent: meaning-changed
Original:  We provide experimental evidence suggestive of its presence in DNA. Asymmetric cooperativity is used to explain, apart from the broken symmetries mentioned above, a number of other properties of DNA that includes four nucleotide alphabet, three nucleotide codons,  helicity, anti-parallel double-strand orientation, heteromolecular base-pairing, asymmetric base compositions, and palindromic instability  .
Revised:  We provide experimental evidence suggestive of its presence in DNA. Asymmetric cooperativity is used to explain, apart from the broken symmetries mentioned above, a number of other properties of DNA that includes four nucleotide alphabet, three nucleotide codons, helicity, anti-parallel double-strand orientation, heteromolecular base-pairing, asymmetric base compositions, and palindromic instability , apart from the structural asymmetries mentioned above. Our model results and explanations are consistent with multiple lines of experimental evidence, which include evidence for the presence of asymmetric cooperativity in DNA .
Edit intent: meaning-changed
Original: The macromolecules that encode and translate information in living systems, DNA and RNA, exhibit distinctive structural asymmetries, including homochirality or mirror image asymmetry and 3' -5 ' directionality, that are invariant across all life forms.
Revised: The macromolecules that encode and translate information in living systems, DNA and RNA, exhibit distinctive structural asymmetries, including homochirality or mirror image asymmetry and 3' - 5 ' directionality, that are invariant across all life forms.
Edit intent: fluency
Original:  Here we construct a simple model of hypothetical self-replicating polymers to show that asymmetric autocatalytic polymers are more successful in self-replication compared to their symmetric counterparts in the Darwinian competition for space and common substrates.
Revised:  Here we utilize a very simple model of hypothetical self-replicating polymers to show that asymmetric autocatalytic polymers are more successful in self-replication compared to their symmetric counterparts in the Darwinian competition for space and common substrates.
Edit intent: clarity
Original:  This broken-symmetry property, called asymmetric cooperativity, arises when the catalytic influence of inter-strand bonds on their left and right neighbors is unequal.
Revised:  This broken-symmetry property, called asymmetric cooperativity, arises with the maximization of a replication potential, where the catalytic influence of inter-strand bonds on their left and right neighbors is unequal.
Edit intent: meaning-changed
Original:  Asymmetric cooperativity also leads to  simple evolution-based explanations for a number of other properties of DNA that include four nucleotide alphabet, three nucleotide codons, circular genomes, helicity, anti-parallel double-strand orientation, heteromolecular base-pairing, asymmetric base compositions, and palindromic instability, apart from the structural asymmetries mentioned above.
Revised:  Asymmetric cooperativity also leads to tentative, qualitative and simple evolution-based explanations for a number of other properties of DNA that include four nucleotide alphabet, three nucleotide codons, circular genomes, helicity, anti-parallel double-strand orientation, heteromolecular base-pairing, asymmetric base compositions, and palindromic instability, apart from the structural asymmetries mentioned above.
Edit intent: meaning-changed
Original:  Here the method is tested on the Gly-Ala-Gly peptide, where it shown to correctly identify the known metastable states in the dihedral angle space of the molecule without a priori information about these states.
Revised:  Here the method is tested on the Gly-Ala-Gly peptide, where it shown to correctly identify the expected metastable states in the dihedral angle space of the molecule without a priori information about these states.
Edit intent: clarity
Original:  Here the method is tested on the Gly-Ala-Gly peptide, where it shown to correctly identify the known metastable states in the dihedral angle space of the molecule without a priori information about these states.
Revised:  Here the method is tested on the Gly-Ala-Gly peptide, where it shown to correctly identify the known metastable states in the dihedral angle space of the molecule without a~priori information about these states.
Edit intent: fluency
Original:  It is also applied to analyze the folding landscape of the Beta3s min-protein , where it is shown to identify the folded basin as a connecting hub between a high entropy helix-rich region  and a beta-rich kinetic trap region .
Revised:  It is also applied to analyze the folding landscape of the Beta3s mini-protein , where it is shown to identify the folded basin as a connecting hub between a high entropy helix-rich region and a beta-rich kinetic trap region .
Edit intent: fluency
Original:  It is also applied to analyze the folding landscape of the Beta3s min-protein , where it is shown to identify the folded basin as a connecting hub between a high entropy helix-rich region  and a beta-rich kinetic trap region .
Revised:  It is also applied to analyze the folding landscape of the Beta3s min-protein , where it is shown to identify the folded basin as a connecting hub between an helix-rich region and a beta-rich kinetic trap region .
Edit intent: clarity
Original:  It is also applied to analyze the folding landscape of the Beta3s min-protein , where it is shown to identify the folded basin as a connecting hub between a high entropy helix-rich region  and a beta-rich kinetic trap region .
Revised:  It is also applied to analyze the folding landscape of the Beta3s min-protein , where it is shown to identify the folded basin as a connecting hub between a high entropy helix-rich region , which is entropically stabilized, and a beta-rich kinetic trap region .
Edit intent: meaning-changed
Original:  It is also applied to analyze the folding landscape of the Beta3s min-protein , where it is shown to identify the folded basin as a connecting hub between a high entropy helix-rich region  and a beta-rich kinetic trap region .
Revised:  It is also applied to analyze the folding landscape of the Beta3s min-protein , where it is shown to identify the folded basin as a connecting hub between a high entropy helix-rich region and a beta-rich region, which is energetically stabilized and acts as a kinetic trap .
Edit intent: meaning-changed
Original:  However, different TFs can partially share their binding sequences . This "redundancy" of binding defines a way URLanizing TFs in "motif families" that goes beyond the usual classification based on protein structural similarities.
Revised:  However, different TFs can partially share their binding sequences due to their common evolutionary origin. This `redundancy' of binding defines a way URLanizing TFs in "motif families" that goes beyond the usual classification based on protein structural similarities.
Edit intent: meaning-changed
Original:  This "redundancy" of binding defines a way URLanizing TFs in "motif families" that goes beyond the usual classification based on protein structural similarities. Since the TF binding preferences ultimately define the  target genes, the motif URLanization entails information about the structure of transcriptional regulation as it has been shaped by evolution.
Revised:  This "redundancy" of binding defines a way URLanizing TFs in `motif families' by grouping TFs with similar binding preferences. Since these ultimately define the target genes, the motif URLanization entails information about the structure of transcriptional regulation as it has been shaped by evolution.
Edit intent: clarity
Original:  Focusing on the human lineage , we show that a one-parameter evolutionary model of the Birth-Death-Innovation type can explain the empirical repartition of TFs in motif families, thus identifying the relevant evolutionary forces at its origin .
Revised:  Focusing on the human TF repertoire , we show that a one-parameter evolutionary model of the Birth-Death-Innovation type can explain the empirical repartition of TFs in motif families, thus identifying the relevant evolutionary forces at its origin .
Edit intent: clarity
Original:  Focusing on the human lineage , we show that a one-parameter evolutionary model of the Birth-Death-Innovation type can explain the empirical repartition of TFs in motif families, thus identifying the relevant evolutionary forces at its origin .
Revised:  Focusing on the human lineage , we show that a one-parameter evolutionary model of the Birth-Death-Innovation type can explain the TF empirical ripartition in motif families, thus identifying the relevant evolutionary forces at its origin .
Edit intent: clarity
Original:  Focusing on the human lineage , we show that a one-parameter evolutionary model of the Birth-Death-Innovation type can explain the empirical repartition of TFs in motif families, thus identifying the relevant evolutionary forces at its origin .
Revised:  Focusing on the human lineage , we show that a one-parameter evolutionary model of the Birth-Death-Innovation type can explain the empirical repartition of TFs in motif families, and allows to highlight the relevant evolutionary forces at its origin .
Edit intent: coherence
Original:  Focusing on the human lineage , we show that a one-parameter evolutionary model of the Birth-Death-Innovation type can explain the empirical repartition of TFs in motif families, thus identifying the relevant evolutionary forces at its origin . More importantly , the model allows to pinpoint few deviations in human from the neutral scenario it assumes: three over-expanded families corresponding to HOX and FOX type genes , a set of "singleton" TFs for which duplication seems to be selected against, and an higher-than-average rate of diversification of the binding preferences of TFs with a Zinc Finger DNA binding domain.
Revised:  Focusing on the human lineage , we show that a one-parameter evolutionary model of the Birth-Death-Innovation type can explain the empirical repartition of TFs in motif families, thus identifying the relevant evolutionary forces at the origin of URLanization. Moreover , the model allows to pinpoint few deviations in human from the neutral scenario it assumes: three over-expanded families corresponding to HOX and FOX type genes , a set of "singleton" TFs for which duplication seems to be selected against, and an higher-than-average rate of diversification of the binding preferences of TFs with a Zinc Finger DNA binding domain.
Edit intent: clarity
Original:  More importantly , the model allows to pinpoint few deviations in human from the neutral scenario it assumes: three over-expanded families corresponding to HOX and FOX type genes , a set of "singleton" TFs for which duplication seems to be selected against, and an higher-than-average rate of diversification of the binding preferences of TFs with a Zinc Finger DNA binding domain.
Revised:  More importantly , the model allows to pinpoint few deviations from the neutral scenario it assumes: three over-expanded families corresponding to HOX and FOX type genes , a set of "singleton" TFs for which duplication seems to be selected against, and an higher-than-average rate of diversification of the binding preferences of TFs with a Zinc Finger DNA binding domain.
Edit intent: clarity
Original:  More importantly , the model allows to pinpoint few deviations in human from the neutral scenario it assumes: three over-expanded families corresponding to HOX and FOX type genes , a set of "singleton" TFs for which duplication seems to be selected against, and an higher-than-average rate of diversification of the binding preferences of TFs with a Zinc Finger DNA binding domain.
Revised:  More importantly , the model allows to pinpoint few deviations in human from the neutral scenario it assumes: three over-expanded families (including HOX and FOX type genes , a set of "singleton" TFs for which duplication seems to be selected against, and an higher-than-average rate of diversification of the binding preferences of TFs with a Zinc Finger DNA binding domain.
Edit intent: clarity
Original:  More importantly , the model allows to pinpoint few deviations in human from the neutral scenario it assumes: three over-expanded families corresponding to HOX and FOX type genes , a set of "singleton" TFs for which duplication seems to be selected against, and an higher-than-average rate of diversification of the binding preferences of TFs with a Zinc Finger DNA binding domain.
Revised:  More importantly , the model allows to pinpoint few deviations in human from the neutral scenario it assumes: three over-expanded families corresponding to HOX and FOX genes) , a set of "singleton" TFs for which duplication seems to be selected against, and an higher-than-average rate of diversification of the binding preferences of TFs with a Zinc Finger DNA binding domain.
Edit intent: clarity
Original:  More importantly , the model allows to pinpoint few deviations in human from the neutral scenario it assumes: three over-expanded families corresponding to HOX and FOX type genes , a set of "singleton" TFs for which duplication seems to be selected against, and an higher-than-average rate of diversification of the binding preferences of TFs with a Zinc Finger DNA binding domain.
Revised:  More importantly , the model allows to pinpoint few deviations in human from the neutral scenario it assumes: three over-expanded families corresponding to HOX and FOX type genes , a set of `singleton' TFs for which duplication seems to be selected against, and an higher-than-average rate of diversification of the binding preferences of TFs with a Zinc Finger DNA binding domain.
Edit intent: fluency