cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11359121
title: Associations between air pollution and cardio-respiratory physiological measures in older adults exercising outdoors

description: We examined whether exercising indoors vs. outdoors reduced the cardio-respiratory effects of outdoor air pollution. Adults ≥55 were randomly assigned to exercise indoors when the Air Quality Health Index was ≥5 and outdoors on other days (intervention group, n = 37), or outdoors everyday (control group, n = 35). Both groups completed cardio-respiratory measurements before and after exercise for up to 10 weeks. Data were analyzed using linear mixed effect regression models. In the control group, an interquartile range increase in fine particulate matter (PM<sub>2.5</sub>) was associated with increases of 1.4% in heart rate (standard error (SE) = 0.7%) and 5.6% (SE = 2.6%) in malondialdehyde, and decreases of 5.6% (SE = 2.5%) to 16.5% (SE = 7.5%) in heart rate variability measures. While the hypothesized benefit of indoor vs. outdoor exercise could not be demonstrated due to an insufficient number of intervention days (n = 2), the study provides evidence of short-term effects of air pollution in older adults. ISRCTN #26552763.
DOI: 10.6084/m9.figshare.11359121.v1
title: Associations between air pollution and cardio-respiratory physiological measures in older adults exercising outdoors

description: We examined whether exercising indoors vs. outdoors reduced the cardio-respiratory effects of outdoor air pollution. Adults ≥55 were randomly assigned to exercise indoors when the Air Quality Health Index was ≥5 and outdoors on other days (intervention group, n = 37), or outdoors everyday (control group, n = 35). Both groups completed cardio-respiratory measurements before and after exercise for up to 10 weeks. Data were analyzed using linear mixed effect regression models. In the control group, an interquartile range increase in fine particulate matter (PM<sub>2.5</sub>) was associated with increases of 1.4% in heart rate (standard error (SE) = 0.7%) and 5.6% (SE = 2.6%) in malondialdehyde, and decreases of 5.6% (SE = 2.5%) to 16.5% (SE = 7.5%) in heart rate variability measures. While the hypothesized benefit of indoor vs. outdoor exercise could not be demonstrated due to an insufficient number of intervention days (n = 2), the study provides evidence of short-term effects of air pollution in older adults. ISRCTN #26552763.
DOI: 10.6084/m9.figshare.7164899
title: Additional file 2: of Adjacent segment degeneration or disease after cervical total disc replacement: a meta-analysis of randomized controlled trials

description: File S1. Original data of 11 included articles. (ZIP 12 mb)
DOI: 10.6084/m9.figshare.7164950
title: Additional file 2: of Circular RNA BCRC-3 suppresses bladder cancer proliferation through miR-182-5p/p27 axis

description: Figure S1. (a) qRT-PCR analysis of the transfection efficiency of si BCRC-3 vectors in BC cells. (b-d) Flow cytometry, EdU assay and cloning formation assay indicated the effect of BCRC3 KD on cell growth. (e-f) qRT-PCR and western blot analysis of the expression levels of p27 in the cells with KD of BCRC-3. (Data are mean ± SEM of three experiments. Student’s t-test analyzed the difference in a-d, f. * P&lt;0.01 vs. vector). Figure.S2 (a) qRT-PCR and western blot analysis of the expression levels of p27 after transfected with four p27 shRNAs in BC cells. (b) qRT-PCR assay indicating the expression of BCRC-3 in co-transfected cells (Fig. 3f & 3g). (c) qRT-PCR analysis of the expression of BCRC-3 in BC cells after co-transfection (Fig. 4i & 4j). (d) qRT-PCR assay indicating the expression of BCRC-3 after MJ treatment in the cells with KD of BCRC-3 (Fig. 5k). (Data are mean ± SEM of three experiments. Student’s t-test analyzed the difference in a-d. * P&lt;0.01 vs. shNC, vector + shNC, or vector + shP27. & P&lt;0.05 vs. mimic NC or siNC + control. # P&lt;0.05 vs. miR-182-5p or siBCRC-3 + control). Figure.S3 (a-b) qRT-PCR and western blot analysis of the expression levels of p27 in cells with KD of miR-182-5p. (c-e) Flow cytometry, EdU assay and cloning formation assay indicated the effect of the inactivation of miR-182-5p on cell growth. (Data are mean ± SEM of three experiments. Student’s t-test compared the difference in b-e. * P&lt;0.01 vs. anti-NC). Figure.S4 (a) The bioinformatics program RNAhybrid showed the detailed information of three binding sites of miR-182-5p on BCRC-3. (b) Biotin-coupled miR-182-5p wild-type and mutant sequences. (c) Schematic Sequence of the intact miR-182-5p-binding site in wide-type (WT) p27 mRNA 3’-UTR and its mutation (Mut) of p27 3’UTR luciferase reporter. (ZIP 1185 kb)
DOI: 10.6084/m9.figshare.15029481
title: Marketed pharmaceutical preparations infomation

description: Marketed pharmaceutical preparations infomation
DOI: 10.6084/m9.figshare.15029484
title: Peptide hormones infomation

description: Peptide hormones infomation
DOI: 10.6084/m9.figshare.15029484.v1
title: Peptide hormones infomation

description: Peptide hormones infomation
DOI: 10.6084/m9.figshare.15029487
title: Peptide physical information

description: Peptide hormones physical information data
DOI: 10.6084/m9.figshare.15029490
title: Peptide hormones drugs infomation

description: Peptide hormones drugs infomation
DOI: 10.6084/m9.figshare.15029490.v1
title: Peptide hormones drugs infomation

description: Peptide hormones drugs infomation
DOI: 10.6084/m9.figshare.16602479
title: Reliable Post-Signal Fault Diagnosis for Correlated High-Dimensional Data Streams

description: Rapid advance of sensor technology is facilitating the collection of high-dimensional data streams (HDS). Apart from real-time detection of potential out-of-control (OC) patterns, post-signal fault diagnosis of HDS is becoming increasingly important in the filed of statistical process control to isolate abnormal data streams. The major limitations of the existing methods on that topic include (i) they cannot achieve reliable diagnostic results in the sense that their performance is highly variable, and (ii) the informative correlation among different streams is often neglected by them. This article elaborates the problem of reliable fault diagnosis for monitoring correlated HDS using the large-scale multiple testing. Under the framework of hidden Markov model dependence, new diagnostic procedures are proposed, which can control the missed discovery exceedance (MDX) at a desired level. Extensive numerical studies along with some theoretical results show that the proposed procedures can control MDX properly, leading to diagnostics with high reliability and efficiency. Also, their diagnostic performance can be improved significantly by exploiting the dependence among different data streams, which is especially appealing in practice for identifying clustered OC streams.
DOI: 10.6084/m9.figshare.16602479.v2
title: Reliable Post-Signal Fault Diagnosis for Correlated High-Dimensional Data Streams

description: Rapid advance of sensor technology is facilitating the collection of high-dimensional data streams (HDS). Apart from real-time detection of potential out-of-control (OC) patterns, post-signal fault diagnosis of HDS is becoming increasingly important in the filed of statistical process control to isolate abnormal data streams. The major limitations of the existing methods on that topic include (i) they cannot achieve reliable diagnostic results in the sense that their performance is highly variable, and (ii) the informative correlation among different streams is often neglected by them. This article elaborates the problem of reliable fault diagnosis for monitoring correlated HDS using the large-scale multiple testing. Under the framework of hidden Markov model dependence, new diagnostic procedures are proposed, which can control the missed discovery exceedance (MDX) at a desired level. Extensive numerical studies along with some theoretical results show that the proposed procedures can control MDX properly, leading to diagnostics with high reliability and efficiency. Also, their diagnostic performance can be improved significantly by exploiting the dependence among different data streams, which is especially appealing in practice for identifying clustered OC streams.
DOI: 10.4121/12932588
title: Elasticity of hcp-Fe alloys

description: To share the metadata regarding on elasticity of hcp-Fe alloys, we have uploaded all the XDATCAR files produced in our calculations. Elastic constants of FeH0.25 (0, 2000, 3000, 4000, 5000 and 6000 K), FeO0.625 (0, 3000, 4000, 5000 and 5500 K) and FeC0.625 (0, 3000, 4000, 5000 and 5500 K) at 360 GPa were calculated by using ab initio molecular dynamics. Larger supercell and longer time-step were tested respectively to ensure the accuracy of results. Melting points were tested using two phase method.
DOI: 10.4121/12932588.v2
title: Elasticity of hcp-Fe alloys

description: To share the metadata regarding on elasticity of hcp-Fe alloys, we have uploaded all the XDATCAR files produced in our calculations. Elastic constants of FeH0.25 (0, 2000, 3000, 4000, 5000 and 6000 K), FeO0.625 (0, 3000, 4000, 5000 and 5500 K) and FeC0.625 (0, 3000, 4000, 5000 and 5500 K) at 360 GPa were calculated by using ab initio molecular dynamics. Larger supercell and longer time-step were tested respectively to ensure the accuracy of results. Melting points were tested using two phase method.
DOI: 10.4121/12932588.v1
title: Elasticity of hcp-Fe alloys

description: To share the metadata regarding on elasticity of hcp-Fe alloys, we have uploaded all the XDATCAR files produced in our calculations. Elastic constants of FeH0.25 (0, 2000, 3000, 4000, 5000 and 6000 K), FeO0.625 (0, 3000, 4000, 5000 and 5500 K) and FeC0.625 (0, 3000, 4000, 5000 and 5500 K) at 360 GPa were calculated by using ab initio molecular dynamics. Larger supercell and longer time-step were tested respectively to ensure the accuracy of results. Melting points were tested using two phase method.
DOI: 10.6084/m9.figshare.12408353
title: Additional file 2 of Structure and function of the Arctic and Antarctic marine microbiota as revealed by metagenomics

description: Additional file 2: Table S1. Sampling locations and metagenomes information.
DOI: 10.6084/m9.figshare.12408353.v1
title: Additional file 2 of Structure and function of the Arctic and Antarctic marine microbiota as revealed by metagenomics

description: Additional file 2: Table S1. Sampling locations and metagenomes information.
DOI: 10.6084/m9.figshare.12408359
title: Additional file 3 of Structure and function of the Arctic and Antarctic marine microbiota as revealed by metagenomics

description: Additional file 3: Table S2. Information of the assembled contigs.
DOI: 10.6084/m9.figshare.12408359.v1
title: Additional file 3 of Structure and function of the Arctic and Antarctic marine microbiota as revealed by metagenomics

description: Additional file 3: Table S2. Information of the assembled contigs.
DOI: 10.6084/m9.figshare.12408362
title: Additional file 4 of Structure and function of the Arctic and Antarctic marine microbiota as revealed by metagenomics

description: Additional file 4: Table S3. Full phyla (class for Proteobacteria) list and their abundance in the polar seawater.
DOI: 10.6084/m9.figshare.12408362.v1
title: Additional file 4 of Structure and function of the Arctic and Antarctic marine microbiota as revealed by metagenomics

description: Additional file 4: Table S3. Full phyla (class for Proteobacteria) list and their abundance in the polar seawater.
DOI: 10.6084/m9.figshare.12408365
title: Additional file 5 of Structure and function of the Arctic and Antarctic marine microbiota as revealed by metagenomics

description: Additional file 5: Table S4. Full list of genera and their abundance in the polar seawater.
DOI: 10.6084/m9.figshare.12408365.v1
title: Additional file 5 of Structure and function of the Arctic and Antarctic marine microbiota as revealed by metagenomics

description: Additional file 5: Table S4. Full list of genera and their abundance in the polar seawater.
DOI: 10.6084/m9.figshare.12408368
title: Additional file 6 of Structure and function of the Arctic and Antarctic marine microbiota as revealed by metagenomics

description: Additional file 6: Table S5. Information of the MAGs extracted from polar seawater metagenomes.
DOI: 10.6084/m9.figshare.12408368.v1
title: Additional file 6 of Structure and function of the Arctic and Antarctic marine microbiota as revealed by metagenomics

description: Additional file 6: Table S5. Information of the MAGs extracted from polar seawater metagenomes.
DOI: 10.6084/m9.figshare.20267886
title: Additional file 3 of Mapping the viruses belonging to the order Bunyavirales in China

description: Additional file 3. The dataset for RVFV records from 2000 to 2020 in Africa and the Arabian Peninsula used for BRT models.
DOI: 10.6084/m9.figshare.19219386
title: Additional file 4 of Distance correlation application to gene co-expression network analysis

description: Additional file 4. Code S1. The R code of the study.
DOI: 10.6084/m9.figshare.19219386.v1
title: Additional file 4 of Distance correlation application to gene co-expression network analysis

description: Additional file 4. Code S1. The R code of the study.
DOI: 10.6084/m9.figshare.8209487.v3
title: Modeling and Change Detection for Count-Weighted Multilayer Networks

description: In a typical network with a set of individuals, it is common to have multiple types of interactions between two individuals. In practice, these interactions are usually sparse and correlated, which is not sufficiently accounted for in the literature. This article proposes a multilayer weighted stochastic block model (MZIP-SBM) based on a multivariate zero-inflated Poisson (MZIP) distribution to characterize the sparse and correlated multilayer interactions of individuals. A variational-EM algorithm is developed to estimate the parameters in this model. We further propose a monitoring statistic based on the score test of MZIP-SBM model parameters for change detection in multilayer networks. The proposed model and monitoring scheme are validated using extensive simulation studies and the case study from Enron E-mail network.
DOI: 10.6084/m9.figshare.20268257.v1
title: Sevoflurane reduces lipopolysaccharide-induced apoptosis and pulmonary fibrosis in the RAW264.7 cells and mice models to ameliorate acute lung injury by eliminating oxidative damages

description: Sevoflurane is identified as an effective candidate drug for acute lung injury (ALI) treatment, but its curing effects and detailed mechanisms have not been fully disclosed. The present study was designed to resolve this academic issue. The ALI mice models were established, and Hematoxylin-eosin staining assay was performed to examine tissue morphologies. Cell viability was determined by CCK-8 assay, and Annexin V-FITC/PI double staining assay was used to examine cell apoptosis. The expression levels of proteins were determined by performing Western Blot analysis and immunofluorescence staining assay. ROS levels were examined by using DCFH-DA staining assay. In this study, we investigated this issue and the ALI models were respectively established by treating the BALB/c mice and the murine macrophage cell line RAW264.7 with different concentrations of lipopolysaccharide (LPS) in vivo and in vitro, which were subsequently subjected to sevoflurane co-treatment. The results showed that sevoflurane reduced LPS-induced ALI in mice and suppressed LPS-triggered oxidative stress and apoptotic cell death in the RAW264.7 cells. Interestingly, we evidenced that the elimination of reactive oxygen species (ROS) by N-acetyl-L-cysteine (NAC) reversed LPS-induced cell apoptosis in RAW264.7 cells. Then, we verified that sevoflurane suppressed oxidative damages to restrain LPS-induced apoptotic cell death in the RAW264.7 cells through activating the anti-oxidant Keap1/Nrf2 pathway. Mechanistically, sevoflurane down-regulated Keap1 and upregulated Nrf2 in nucleus to activate the downstream anti-oxidant signaling cascades, which further ameliorated LPS-induced cell apoptosis and lung injury by eliminating oxidative damages. Taken together, our study illustrated that the sevoflurane attenuates LPS-induced ALI by inhibiting oxidative stress-mediated apoptotic cell death and inflammation, and the Keap1/Nrf2 pathway played an important role in this process.
DOI: 10.6084/m9.figshare.8209487.v2
title: Modeling and Change Detection for Count-Weighted Multilayer Networks

description: In a typical network with a set of individuals, it is common to have multiple types of interactions between two individuals. In practice, these interactions are usually sparse and correlated, which is not sufficiently accounted for in the literature. This article proposes a multilayer weighted stochastic block model (MZIP-SBM) based on a multivariate zero-inflated Poisson (MZIP) distribution to characterize the sparse and correlated multilayer interactions of individuals. A variational-EM algorithm is developed to estimate the parameters in this model. We further propose a monitoring statistic based on the score test of MZIP-SBM model parameters for change detection in multilayer networks. The proposed model and monitoring scheme are validated using extensive simulation studies and the case study from Enron E-mail network.
DOI: 10.6084/m9.figshare.19219416.v1
title: Additional file 2 of Application of a next-generation sequencing (NGS) panel in newborn screening efficiently identifies inborn disorders of neonates

description: Additional file 2: Table S2.
DOI: 10.6084/m9.figshare.11879748.v1
title: Supplementary Information.docx

description: Supplementary Information for Cross-cumulant enhanced radiality nanoscopy for multicolor super-resolution subcellular imaging
DOI: 10.6084/m9.figshare.12928349.v1
title: Risks and features of secondary infections in severe and critical ill COVID-19 patients

description: <i>Objectives</i> Severe or critical COVID-19 is associated with intensive care unit admission, increased secondary infection rate, and would lead to significant worsened prognosis. Risks and characteristics relating to secondary infections in severe COVID-19 have not been described. <i>Methods</i> Severe and critical COVID-19 patients from Shanghai were included. We collected lower respiratory, urine, catheters, and blood samples according to clinical necessity and culture and mNGS were performed. Clinical and laboratory data were archived. <i>Results</i> We found 57.89% (22/38) patients developed secondary infections. The patient receiving invasive mechanical ventilation or in critical state has a higher chance of secondary infections (<i>P</i>&lt;0.0001). The most common infections were respiratory, blood-stream and urinary infections, and in respiratory infections, the most detected pathogens were gram-negative bacteria (26, 50.00%), following by gram-positive bacteria (14, 26.92%), virus (6, 11.54%), fungi (4, 7.69%), and others (2, 3.85%). Respiratory Infection rate post high flow, tracheal intubation, and tracheotomy were 12.90% (4/31), 30.43% (7/23), and 92.31% (12/13) respectively. Secondary infections would lead to lower discharge rate and higher mortality rate. <i>Conclusion</i> Our study originally illustrated secondary infection proportion in severe and critical COVID-19 patients. Culture accompanied with metagenomics sequencing increased pathogen diagnostic rate. Secondary infections risks increased after receiving invasive respiratory ventilations and intravascular devices, and would lead to a lower discharge rate and a higher mortality rate.
DOI: 10.6084/m9.figshare.19219449.v1
title: Additional file 2 of Mesenchymal Mycn participates in odontoblastic lineage commitment by regulating Krüppel-like Factor 4 (Klf4) in mice

description: Additional file 2. The results of enriched peaks identified by CUT&Tag analysis.
DOI: 10.6084/m9.figshare.20268257
title: Sevoflurane reduces lipopolysaccharide-induced apoptosis and pulmonary fibrosis in the RAW264.7 cells and mice models to ameliorate acute lung injury by eliminating oxidative damages

description: Sevoflurane is identified as an effective candidate drug for acute lung injury (ALI) treatment, but its curing effects and detailed mechanisms have not been fully disclosed. The present study was designed to resolve this academic issue. The ALI mice models were established, and Hematoxylin-eosin staining assay was performed to examine tissue morphologies. Cell viability was determined by CCK-8 assay, and Annexin V-FITC/PI double staining assay was used to examine cell apoptosis. The expression levels of proteins were determined by performing Western Blot analysis and immunofluorescence staining assay. ROS levels were examined by using DCFH-DA staining assay. In this study, we investigated this issue and the ALI models were respectively established by treating the BALB/c mice and the murine macrophage cell line RAW264.7 with different concentrations of lipopolysaccharide (LPS) in vivo and in vitro, which were subsequently subjected to sevoflurane co-treatment. The results showed that sevoflurane reduced LPS-induced ALI in mice and suppressed LPS-triggered oxidative stress and apoptotic cell death in the RAW264.7 cells. Interestingly, we evidenced that the elimination of reactive oxygen species (ROS) by N-acetyl-L-cysteine (NAC) reversed LPS-induced cell apoptosis in RAW264.7 cells. Then, we verified that sevoflurane suppressed oxidative damages to restrain LPS-induced apoptotic cell death in the RAW264.7 cells through activating the anti-oxidant Keap1/Nrf2 pathway. Mechanistically, sevoflurane down-regulated Keap1 and upregulated Nrf2 in nucleus to activate the downstream anti-oxidant signaling cascades, which further ameliorated LPS-induced cell apoptosis and lung injury by eliminating oxidative damages. Taken together, our study illustrated that the sevoflurane attenuates LPS-induced ALI by inhibiting oxidative stress-mediated apoptotic cell death and inflammation, and the Keap1/Nrf2 pathway played an important role in this process.
DOI: 10.6084/m9.figshare.12928415
title: Methodology for Generating Covariance Data of Thermal Neutron Scattering Cross Sections

description: This paper details and implements a framework for evaluating thermal neutron scattering cross sections that provide S(α,β) data and covariance data for hydrogen in light water. This methodology involves perturbing model parameters of molecular dynamics potentials and fitting the simulation results to experimental data. The framework is general and can be applied to any material or simulation method. The fit is made using the Unified Monte Carlo method to experimentally measure double-differential scattering cross sections of light water at the Spallation Neutron Source at Oak Ridge National Laboratory. Mean values and covariance data were generated for model parameters, phonon density of states, double-differential cross sections, and total scattering cross sections. These posterior parameter values were very similar to their prior values with a maximum relative error of 0.54%. This falls within in the Unified Monte Carlo–calculated uncertainties on the order of 2.7%. Additionally, posterior double-differential cross sections agree favorably with ENDF/B-VIII.0 cross sections. The new thermal scattering law was tested by comparing it against benchmarks from the International Criticality Safety Benchmark Evaluation Project Handbook, which showed a slight improvement over the ENDF/B-VIII.0 library. Additionally, the covariance matrix of the phonon density of states was validated to confirm that the spread of k<sub>eff</sub> from the density of states used to generate the covariance matrix was similar to the spread of k<sub>eff</sub> from the density of states of the sampled covariance matrix.