cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1117723.v13
title: Global 5mC and 5hmC levels in sixteen pairs of HCC and non-HCC samples and two HCC cell lines investigated by UPLC-MS/MS

description: We performed UPLC-MS/MS to investigate global 5mC and 5hmC levels in sixteen pairs of HCC and non-HCC samples and two HCC cell lines (97L and LM6 cells). We found that 5mC and 5hmC were frequently decreased in 71% and 100% of the HCC specimens, respectively, compared with non-HCC specimens. Correspondingly, 5mC and 5hmC levels in the two HCC cell lines remained relatively low.
DOI: 10.6084/m9.figshare.1117723.v14
title: Global 5mC and 5hmC levels in sixteen pairs of HCC and non-HCC samples and two HCC cell lines investigated by UPLC-MS/MS

description: We performed UPLC-MS/MS to investigate global 5mC and 5hmC levels in sixteen pairs of HCC and non-HCC samples and two HCC cell lines (97L and LM6 cells). We found that 5mC and 5hmC were frequently decreased in 71% and 100% of the HCC specimens, respectively, compared with non-HCC specimens. Correspondingly, 5mC and 5hmC levels in the two HCC cell lines remained relatively low.
DOI: 10.6084/m9.figshare.1117723.v15
title: Global 5mC and 5hmC levels in sixteen pairs of HCC and non-HCC samples and two HCC cell lines investigated by UPLC-MS/MS

description: We performed UPLC-MS/MS to investigate global 5mC and 5hmC levels in sixteen pairs of HCC and non-HCC samples and two HCC cell lines (97L and LM6 cells). We found that 5mC and 5hmC were frequently decreased in 71% and 100% of the HCC specimens, respectively, compared with non-HCC specimens. Correspondingly, 5mC and 5hmC levels in the two HCC cell lines remained relatively low.
DOI: 10.6084/m9.figshare.1117723.v16
title: Global 5mC and 5hmC levels in sixteen pairs of HCC and non-HCC samples and two HCC cell lines investigated by UPLC-MS/MS

description: We performed UPLC-MS/MS to investigate global 5mC and 5hmC levels in sixteen pairs of HCC and non-HCC samples and two HCC cell lines (97L and LM6 cells). We found that 5mC and 5hmC were frequently decreased in 71% and 100% of the HCC specimens, respectively, compared with non-HCC specimens. Correspondingly, 5mC and 5hmC levels in the two HCC cell lines remained relatively low.
DOI: 10.6084/m9.figshare.1117723.v17
title: Global 5mC and 5hmC levels in sixteen pairs of HCC and non-HCC samples and two HCC cell lines investigated by UPLC-MS/MS

description: We performed UPLC-MS/MS to investigate global 5mC and 5hmC levels in sixteen pairs of HCC and non-HCC samples and two HCC cell lines (97L and LM6 cells). We found that 5mC and 5hmC were frequently decreased in 71% and 100% of the HCC specimens, respectively, compared with non-HCC specimens. Correspondingly, 5mC and 5hmC levels in the two HCC cell lines remained relatively low.
DOI: 10.6084/m9.figshare.1117723.v18
title: Global 5mC and 5hmC levels in sixteen pairs of HCC and non-HCC samples and two HCC cell lines investigated by UPLC-MS/MS

description: We performed UPLC-MS/MS to investigate global 5mC and 5hmC levels in sixteen pairs of HCC and non-HCC samples and two HCC cell lines (97L and LM6 cells). We found that 5mC and 5hmC were frequently decreased in 71% and 100% of the HCC specimens, respectively, compared with non-HCC specimens. Correspondingly, 5mC and 5hmC levels in the two HCC cell lines remained relatively low.
DOI: 10.6084/m9.figshare.1117723.v19
title: Global 5mC and 5hmC levels in sixteen pairs of HCC and non-HCC samples and two HCC cell lines investigated by UPLC-MS/MS

description: We performed UPLC-MS/MS to investigate global 5mC and 5hmC levels in sixteen pairs of HCC and non-HCC samples and two HCC cell lines (97L and LM6 cells). We found that 5mC and 5hmC were frequently decreased in 71% and 100% of the HCC specimens, respectively, compared with non-HCC specimens. Correspondingly, 5mC and 5hmC levels in the two HCC cell lines remained relatively low.
DOI: 10.6084/m9.figshare.1117723.v20
title: Global 5mC and 5hmC levels in sixteen pairs of HCC and non-HCC samples and two HCC cell lines investigated by UPLC-MS/MS

description: We performed UPLC-MS/MS to investigate global 5mC and 5hmC levels in sixteen pairs of HCC and non-HCC samples and two HCC cell lines (97L and LM6 cells). We found that 5mC and 5hmC were frequently decreased in 71% and 100% of the HCC specimens, respectively, compared with non-HCC specimens. Correspondingly, 5mC and 5hmC levels in the two HCC cell lines remained relatively low.
DOI: 10.6084/m9.figshare.1117723.v21
title: Global 5mC and 5hmC levels in sixteen pairs of HCC and non-HCC samples and two HCC cell lines investigated by UPLC-MS/MS

description: We performed UPLC-MS/MS to investigate global 5mC and 5hmC levels in sixteen pairs of HCC and non-HCC samples and two HCC cell lines (97L and LM6 cells). We found that 5mC and 5hmC were frequently decreased in 71% and 100% of the HCC specimens, respectively, compared with non-HCC specimens. Correspondingly, 5mC and 5hmC levels in the two HCC cell lines remained relatively low.
DOI: 10.6084/m9.figshare.1120584
title: Prognostic Value and Staging Classification of Retropharyngeal Lymph Node Metastasis in Nasopharyngeal Carcinoma Patients Treated with Intensity-modulated Radiotherapy

description: The development of intensity-modulated radiotherapy ( IMRT)  has revolutionized the management of nasopharyngeal carcinoma . The purpose of this study was to evaluate the prognostic value and classification of TNM stage system for retropharyngeal lymph node  metastasis in nasopharyngeal carcinoma in the IMRT era
DOI: 10.6084/m9.figshare.1120584.v2
title: Prognostic Value and Staging Classification of Retropharyngeal Lymph Node Metastasis in Nasopharyngeal Carcinoma Patients Treated with Intensity-modulated Radiotherapy

description: The development of intensity-modulated radiotherapy  has revolutionized the management of nasopharyngeal carcinoma . The purpose of this study was to evaluate the prognostic value and classification of TNM stage system for retropharyngeal lymph node  metastasis in NPC in the IMRT era
DOI: 10.6084/m9.figshare.1120584.v3
title: Prognostic Value and Staging Classification of Retropharyngeal Lymph Node Metastasis in Nasopharyngeal Carcinoma Patients Treated with Intensity-modulated Radiotherapy

description: The development of intensity-modulated radiotherapy ( IMRT)  has revolutionized the management of nasopharyngeal carcinoma . The purpose of this study was to evaluate the prognostic value and classification of TNM stage system for retropharyngeal lymph node  metastasis in nasopharyngeal carcinoma in the IMRT era
DOI: 10.6084/m9.figshare.1122783
title: A Combined Approach to the Inference of Conditional Factor Models

description: This article develops a new methodology for estimating and testing conditional factor models in finance. We propose a two-stage procedure that naturally unifies the two existing approaches in the finance literature—the parametric approach and the nonparametric approach. Our combined approach possesses important advantages over both methods. Using our two-stage combined estimator, we derive new test statistics for investigating key hypotheses in the context of conditional factor models. Our tests can be performed on a single asset or jointly across multiple assets. We further propose a novel test to directly check whether the parametric model used in our first stage is correctly specified. Simulations indicate that our estimates and tests perform well in finite samples. In our empirical analysis, we use our new method to examine the performance of the conditional capital asset pricing model (CAPM), which has generated controversial results in the recent asset-pricing literature.
DOI: 10.6084/m9.figshare.1122783.v1
title: A Combined Approach to the Inference of Conditional Factor Models

description: This paper develops a new methodology for estimating and testing conditional factor models in finance. We propose a two-stage procedure that naturally unifies the two existing approaches in the finance literature—the parametric approach and the nonparametric approach. Our combined approach possesses important advantages over both methods. Using our two-stage combined estimator, we derive new test statistics for investigating key hypotheses in the context of conditional factor models. Our tests can be performed on a single asset or jointly across multiple assets. We further propose a novel test to directly check whether the parametric model used in our first stage is correctly specified. Simulations indicate that our estimates and tests perform well in finite samples. In our empirical analysis, we use our new method to examine the performance of the conditional CAPM, which has generated controversial results in the recent asset-pricing literature. JEL Classification: C51, C52, G12
DOI: 10.6084/m9.figshare.1122783.v2
title: A Combined Approach to the Inference of Conditional Factor Models

description: This article develops a new methodology for estimating and testing conditional factor models in finance. We propose a two-stage procedure that naturally unifies the two existing approaches in the finance literature—the parametric approach and the nonparametric approach. Our combined approach possesses important advantages over both methods. Using our two-stage combined estimator, we derive new test statistics for investigating key hypotheses in the context of conditional factor models. Our tests can be performed on a single asset or jointly across multiple assets. We further propose a novel test to directly check whether the parametric model used in our first stage is correctly specified. Simulations indicate that our estimates and tests perform well in finite samples. In our empirical analysis, we use our new method to examine the performance of the conditional capital asset pricing model (CAPM), which has generated controversial results in the recent asset-pricing literature.
DOI: 10.6084/m9.figshare.1122783.v3
title: A Combined Approach to the Inference of Conditional Factor Models

description: This article develops a new methodology for estimating and testing conditional factor models in finance. We propose a two-stage procedure that naturally unifies the two existing approaches in the finance literature—the parametric approach and the nonparametric approach. Our combined approach possesses important advantages over both methods. Using our two-stage combined estimator, we derive new test statistics for investigating key hypotheses in the context of conditional factor models. Our tests can be performed on a single asset or jointly across multiple assets. We further propose a novel test to directly check whether the parametric model used in our first stage is correctly specified. Simulations indicate that our estimates and tests perform well in finite samples. In our empirical analysis, we use our new method to examine the performance of the conditional capital asset pricing model (CAPM), which has generated controversial results in the recent asset-pricing literature.
DOI: 10.6084/m9.figshare.1122784
title: Identification and Bayesian Estimation of Dynamic Factor Models

description: We consider a set of minimal identification conditions for dynamic factor models. These conditions have economic interpretations and require fewer restrictions than the static factor framework. Under these restrictions, a standard structural vector autoregression (SVAR) with measurement errors can be embedded into a dynamic factor model. More generally, we also consider overidentification restrictions to achieve efficiency. We discuss general linear restrictions, either in the form of known factor loadings or cross-equation restrictions. We further consider serially correlated idiosyncratic errors with heterogeneous dynamics. A numerically stable Bayesian algorithm for the dynamic factor model with general parameter restrictions is constructed for estimation and inference. We show that a square-root form of the Kalman filter improves robustness and accuracy when sampling the latent factors. Confidence intervals (bands) for the parameters of interest such as impulse responses are readily computed. Similar identification conditions are also exploited for multilevel factor models, and they allow us to study the “spill-over” effects of the shocks arising from one group to another. Supplementary materials for technical details are available online.
DOI: 10.6084/m9.figshare.1122784.v1
title: Identification and Bayesian Estimation of Dynamic Factor Models

description: We consider a set of minimal identification conditions for dynamic factor models. These conditions have economic interpretations and require fewer number of restrictions than the static factor framework. Under these restrictions, a standard structural vector autoregression (SVAR) with measurement errors can be embedded into a dynamic factor model. More generally, we also consider overidentification restrictions to achieve efficiency. General linear restrictions, either in the form of known factor loadings or cross-equation restrictions, are considered. We further consider serially correlated idiosyncratic errors with heterogeneous coefficients. A numerically stable Bayesian algorithm for the dynamic factor model with general parameter restrictions is constructed for estimation and inference. A square-root form of Kalman filter is shown to improve robustness and accuracy when sampling the latent factors. Confidence intervals (bands) for the parameters of interest such as impulse responses are readily computed. Similar identification conditions are also exploited for multi-level factor models, and they allow us to study the “spill-over” effects of the shocks arising from one group to another. Supplementary materials for technical details are available online.
DOI: 10.6084/m9.figshare.1122784.v2
title: Identification and Bayesian Estimation of Dynamic Factor Models

description: We consider a set of minimal identification conditions for dynamic factor models. These conditions have economic interpretations and require fewer restrictions than the static factor framework. Under these restrictions, a standard structural vector autoregression (SVAR) with measurement errors can be embedded into a dynamic factor model. More generally, we also consider overidentification restrictions to achieve efficiency. We discuss general linear restrictions, either in the form of known factor loadings or cross-equation restrictions. We further consider serially correlated idiosyncratic errors with heterogeneous dynamics. A numerically stable Bayesian algorithm for the dynamic factor model with general parameter restrictions is constructed for estimation and inference. We show that a square-root form of the Kalman filter improves robustness and accuracy when sampling the latent factors. Confidence intervals (bands) for the parameters of interest such as impulse responses are readily computed. Similar identification conditions are also exploited for multilevel factor models, and they allow us to study the “spill-over” effects of the shocks arising from one group to another. Supplementary materials for technical details are available online.
DOI: 10.6084/m9.figshare.1122784.v3
title: Identification and Bayesian Estimation of Dynamic Factor Models

description: We consider a set of minimal identification conditions for dynamic factor models. These conditions have economic interpretations and require fewer restrictions than the static factor framework. Under these restrictions, a standard structural vector autoregression (SVAR) with measurement errors can be embedded into a dynamic factor model. More generally, we also consider overidentification restrictions to achieve efficiency. We discuss general linear restrictions, either in the form of known factor loadings or cross-equation restrictions. We further consider serially correlated idiosyncratic errors with heterogeneous dynamics. A numerically stable Bayesian algorithm for the dynamic factor model with general parameter restrictions is constructed for estimation and inference. We show that a square-root form of the Kalman filter improves robustness and accuracy when sampling the latent factors. Confidence intervals (bands) for the parameters of interest such as impulse responses are readily computed. Similar identification conditions are also exploited for multilevel factor models, and they allow us to study the “spill-over” effects of the shocks arising from one group to another. Supplementary materials for technical details are available online.
DOI: 10.6084/m9.figshare.1126271
title: Seismic evidence for a mantle plume beneath the Cape Verde hotspot

description: P- and S-wave tomography of the upper mantle beneath the Cape Verde hotspot is determined using arrival-time data measured precisely from three-component seismograms of 106 distant earthquakes recorded by a local seismic network. Our results show a prominent low-velocity anomaly imaged as a continuous column &lt;100 km wide from the uppermost mantle down to about 500 km beneath Cape Verde, especially below the Fogo active volcano, which erupted in 1995. The low-velocity anomaly may reflect a hot mantle plume feeding the Cape Verde hotspot.
DOI: 10.6084/m9.figshare.1126271.v2
title: Seismic evidence for a mantle plume beneath the Cape Verde hotspot

description: P- and S-wave tomography of the upper mantle beneath the Cape Verde hotspot is determined using arrival-time data measured precisely from three-component seismograms of 106 distant earthquakes recorded by a local seismic network. Our results show a prominent low-velocity anomaly imaged as a continuous column &lt;100 km wide from the uppermost mantle down to about 500 km beneath Cape Verde, especially below the Fogo active volcano, which erupted in 1995. The low-velocity anomaly may reflect a hot mantle plume feeding the Cape Verde hotspot.
DOI: 10.6084/m9.figshare.1126271.v1
title: Seismic evidence for a mantle plume beneath the Cape Verde hotspot

description: P- and S-wave tomography of the upper mantle beneath the Cape Verde hotspot is determined using arrival-time data measured precisely from three-component seismograms of 106 distant earthquakes recorded by a local seismic network. Our results show a prominent low-velocity anomaly imaged as a continuous column &lt;100 km wide from the uppermost mantle down to about 500 km beneath Cape Verde, especially below the Fogo active volcano, which erupted in 1995. The low-velocity anomaly may reflect a hot mantle plume feeding the Cape Verde hotspot.
DOI: 10.6084/m9.figshare.1132621
title: Diversity of rhizosphere bacteria associated with different soybean cultivars in two soil conditions

description: Aiming at learning the effects of soil conditions and cultivar on the bacterial diversity in the rhizosphere of soybean (<i>Glycine max</i>(L.) Merr.), bacterial communities associated with four soybean cultivars grown in two soils were revealed by terminal-restriction fragment length polymorphism (T-RFLP) combined with sequencing analysis of a 16S rDNA clone library. Lower bacteria diversity was found in soil A which has higher salinity and nutrient contents, while the highest bacterial diversity was found in the rhizosphere of cv. Jidou 12 in both soils. These results revealed that both the soil conditions and soybean cultivar affected the community composition of rhizosphere bacteria, but the effect of soil conditions was greater than that of soybean cultivar as demonstrated by the principal component analysis. It also revealed that the abundant rhizosphere bacteria may also the main symbiotic or non-symbiotic nodule endophytes.
DOI: 10.6084/m9.figshare.1132621.v1
title: Diversity of rhizosphere bacteria associated with different soybean cultivars in two soil conditions

description: Aiming at learning the effects of soil conditions and cultivar on the bacterial diversity in the rhizosphere of soybean (<i>Glycine max</i>(L.) Merr.), bacterial communities associated with four soybean cultivars grown in two soils were revealed by terminal-restriction fragment length polymorphism (T-RFLP) combined with sequencing analysis of a 16S rDNA clone library. Lower bacteria diversity was found in soil A which has higher salinity and nutrient contents, while the highest bacterial diversity was found in the rhizosphere of cv. Jidou 12 in both soils. These results revealed that both the soil conditions and soybean cultivar affected the community composition of rhizosphere bacteria, but the effect of soil conditions was greater than that of soybean cultivar as demonstrated by the principal component analysis. It also revealed that the abundant rhizosphere bacteria may also the main symbiotic or non-symbiotic nodule endophytes.
DOI: 10.6084/m9.figshare.1132621.v3
title: Diversity of rhizosphere bacteria associated with different soybean cultivars in two soil conditions

description: Aiming at learning the effects of soil conditions and cultivar on the bacterial diversity in the rhizosphere of soybean (<i>Glycine max</i>(L.) Merr.), bacterial communities associated with four soybean cultivars grown in two soils were revealed by terminal-restriction fragment length polymorphism (T-RFLP) combined with sequencing analysis of a 16S rDNA clone library. Lower bacteria diversity was found in soil A which has higher salinity and nutrient contents, while the highest bacterial diversity was found in the rhizosphere of cv. Jidou 12 in both soils. These results revealed that both the soil conditions and soybean cultivar affected the community composition of rhizosphere bacteria, but the effect of soil conditions was greater than that of soybean cultivar as demonstrated by the principal component analysis. It also revealed that the abundant rhizosphere bacteria may also the main symbiotic or non-symbiotic nodule endophytes.
DOI: 10.6084/m9.figshare.1132621.v2
title: Diversity of rhizosphere bacteria associated with different soybean cultivars in two soil conditions

description: Aiming at learning the effects of soil conditions and cultivar on the bacterial diversity in the rhizosphere of soybean (<i>Glycine max</i>(L.) Merr.), bacterial communities associated with four soybean cultivars grown in two soils were revealed by terminal-restriction fragment length polymorphism (T-RFLP) combined with sequencing analysis of a 16S rDNA clone library. Lower bacteria diversity was found in soil A which has higher salinity and nutrient contents, while the highest bacterial diversity was found in the rhizosphere of cv. Jidou 12 in both soils. These results revealed that both the soil conditions and soybean cultivar affected the community composition of rhizosphere bacteria, but the effect of soil conditions was greater than that of soybean cultivar as demonstrated by the principal component analysis. It also revealed that the abundant rhizosphere bacteria may also the main symbiotic or non-symbiotic nodule endophytes.
DOI: 10.6084/m9.figshare.1132644
title: Elucidation of hydrogen-release mechanism from methylamine in the presence of borane, alane, diborane, dialane, and borane–alane

description: The mechanisms of hydrogen release from methylamine with or without borane, alane, diborane, dialane, and borane–alane are theoretically explored. Geometries of stationary points are optimised at the MP2/aug-cc-pVDZ level and energy profiles are refined at the CCSD(T)/aug-cc-pVTZ level based on the second-order Møller–Plesset (MP2) optimised geometries. H<sub>2</sub> elimination is impossible from the unimolecular CH<sub>3</sub>NH<sub>2</sub> because of a high energy barrier. The results show that all catalysts can facilitate H<sub>2</sub> loss from CH<sub>3</sub>NH<sub>2</sub>. However, borane or alane has no real catalytic effect because the H<sub>2</sub> release is not preferred as compared with the B–N or Al–N bond cleavage once a corresponding adduct is formed. The diborane, dialane, and borane–alane will lead to a substantial reduction of energy barrier as a bifunctional catalyst. The similar and distinct points among various catalysts are compared. Hydrogen bond and six-membered ring formation are two crucial factors to decrease the energy barriers.