cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5046829
title: Role of OSGIN1 in mediating smoking-induced autophagy in the human airway epithelium

description: Enhanced macroautophagy/autophagy is recognized as a component of the pathogenesis of smoking-induced airway disease. Based on the knowledge that enhanced autophagy is linked to oxidative stress and the DNA damage response, both of which are linked to smoking, we used microarray analysis of the airway epithelium to identify smoking upregulated genes known to respond to oxidative stress and the DNA damage response. This analysis identified <i>OSGIN1</i> (oxidative stress induced growth inhibitor 1) as significantly upregulated by smoking, in both the large and small airway epithelium, an observation confirmed by an independent small airway microarray cohort, TaqMan PCR of large and small airway samples and RNA-Seq of small airway samples. High and low <i>OSGIN1</i> expressors have different autophagy gene expression patterns in vivo. Genome-wide correlation of RNAseq analysis of airway basal/progenitor cells showed a direct correlation of <i>OSGIN1</i> mRNA levels to multiple classic autophagy genes. In vitro cigarette smoke extract exposure of primary airway basal/progenitor cells was accompanied by a dose-dependent upregulation of OSGIN1 and autophagy induction. Lentivirus-mediated expression of OSGIN1 in human primary basal/progenitor cells induced puncta-like staining of MAP1LC3B and upregulation of <i>MAP1LC3B</i> mRNA and protein and <i>SQSTM1</i> mRNA expression level in a dose and time-dependent manner. OSGIN1-induction of autophagosome, amphisome and autolysosome formation was confirmed by colocalization of MAP1LC3B with SQSTM1 or CD63 (endosome marker) and LAMP1 (lysosome marker). Both <i>OSGIN1</i> overexpression and knockdown enhanced the smoking-evoked autophagic response. Together, these observations support the concept that smoking-induced upregulation of OSGIN1 is one link between smoking-induced stress and enhanced-autophagy in the human airway epithelium.
DOI: 10.5281/zenodo.10649407
title: OneNet project - KPIs repository

description: This data set is the result of the work carried out in the OneNet project related to the evaluation of demonstrators' results.    The data set consists of the KPI values that were achieved in all OneNet demonstrators, as well as their characterization and a brief description of the objectives for calculating each KPI. In the complementary document, the calculation methodologies and formulas of each KPI are reported.
description: Relevant documentation: OneNet D11.1 Evaluation of OneNet demonstrators - https://www.onenet-project.eu/wp-content/uploads/2024/02/OneNet_D11.1_V2.0.pdf
DOI: 10.6084/m9.figshare.5046832
title: The constitutive lipid droplet protein PLIN2 regulates autophagy in liver

description: Excess triglyceride (TG) accumulation in the liver underlies fatty liver disease, a highly prevalent ailment. TG occurs in the liver sequestered in lipid droplets, the major lipid storage organelle. Lipid droplets are home to the lipid droplet proteins, the most abundant of which are the perilipins (PLINs), encoded by 5 different genes, <i>Plin1</i> to <i>Plin5</i>. Of the corresponding gene products, PLIN2 is the only constitutive and ubiquitously expressed lipid droplet protein that has been used as a protein marker for lipid droplets. We and others reported that <i>plin2<sup>−/−</sup></i> mice have an ∼60% reduction in TG content, and are protected against fatty liver disease. Here we show that PLIN2 overexpression protects lipid droplets against macroautophagy/autophagy, whereas PLIN2 deficiency enhances autophagy and depletes hepatic TG. The enhanced autophagy in <i>plin2<sup>−/−</sup></i> mice protects against severe ER stress-induced hepatosteatosis and hepatocyte apoptosis. In contrast, hepatic TG depletion resulting from other genetic and pharmacological manipulations has no effect on autophagy. Importantly, PLIN2 deficiency lowers cellular TG content in wild-type mouse embryonic fibroblasts (MEFs) via enhanced autophagy, but does not affect cellular TG content in <i>atg7<sup>−/−</sup></i> MEFs that are devoid of autophagic function. Conversely, adenovirus-sh<i>Atg7</i>-mediated hepatic <i>Atg7</i> knockdown per se does not alter the hepatic TG level, suggesting a more complex regulation in vivo. In sum, PLIN2 guards its own house, the lipid droplet. PLIN2 overexpression protects against autophagy, and its downregulation stimulates TG catabolism via autophagy.
DOI: 10.5281/zenodo.10605183
title: OneNet project - KPIs repository

description: This data set is the result of the work carried out in the OneNet project related to the evaluation of demonstrators' results.    The data set consists of the KPI values that were achieved in all OneNet demonstrators, as well as their characterization and a brief description of the objectives for calculating each KPI. In the complementary document, the calculation methodologies and formulas of each KPI are reported.
description: Relevant documentation: OneNet D11.1 Evaluation of OneNet demonstrators - https://www.onenet-project.eu/wp-content/uploads/2024/02/OneNet_D11.1_V2.0.pdf
DOI: 10.6084/m9.figshare.21299820
title: Angular rate results.xlsx

description: The measured angular rates by the SM and MV method.
DOI: 10.6084/m9.figshare.21299820.v1
title: Angular rate results.xlsx

description: The measured angular rates by the SM and MV method.
DOI: 10.6084/m9.figshare.21299823
title: Angular acceleration results.xlsx

description: The measured angular accelerations by the SM, LI, and MV method.
DOI: 10.6084/m9.figshare.21299823.v1
title: Angular acceleration results.xlsx

description: The measured angular accelerations by the SM, LI, and MV method.
DOI: 10.6084/m9.figshare.7668350
title: Influence of the feedback links of connected and automated vehicle on rear-end collision risks with vehicle-to-vehicle communication

description: <b>Objective:</b> Connected and automated vehicles (CAV) can monitor multiple vehicles ahead via vehicle-to-vehicle (V2V) communication. Although feedback information from more vehicles ahead may be more helpful for anticipations, it also makes control more complex and increases the probability of data packet loss. Then it needs an appropriate number of CAV feedback links, and the maximum number may be not suitable. Therefore, this article focuses on the influence of CAV feedback links on rear-end collision risks. <b>Methods:</b> To deal with this, stability analysis of a CAV car-following model was conducted to obtain the designs of CAV feedback gains for maintaining stable CAV flow. Simulation experiments were performed to describe a traffic accident on freeway, using car-following models of manually driven vehicles (MDVs) and CAV under different CAV penetration rates. Four scenarios are considered in simulation experiments; that is, the CAV monitors 1, 2, 3, and 4 preceding vehicles, respectively. Based on the simulation experiments, surrogate safety indicators, time-exposed time-to-collision (TET), and time-integrated time-to-collision (TIT) are used to evaluate risks of rear-end collisions. <b>Results:</b> Results indicated that CAV helped to decrease the collision risks, especially the more serious collision risks with smaller threshold values of time-to-collision (TTC). In addition, the reductions in collision risks are more obvious when CAV feedback changes from one link to 2 links. In addition, reducing amplitudes are not significant if the CAV feedback is extended from 2 links to 3 or 4 links. <b>Conclusions:</b> Two links of CAV feedback are appropriate when control complexity is a priority, whereas 3 links is the better choice when reductions in collisions are a priority. The findings of this study provide helpful reference for CAV control and design before larger-scale implementation in real vehicles.
DOI: 10.6084/m9.figshare.7668350.v1
title: Influence of the feedback links of connected and automated vehicle on rear-end collision risks with vehicle-to-vehicle communication

description: <b>Objective:</b> Connected and automated vehicles (CAV) can monitor multiple vehicles ahead via vehicle-to-vehicle (V2V) communication. Although feedback information from more vehicles ahead may be more helpful for anticipations, it also makes control more complex and increases the probability of data packet loss. Then it needs an appropriate number of CAV feedback links, and the maximum number may be not suitable. Therefore, this article focuses on the influence of CAV feedback links on rear-end collision risks. <b>Methods:</b> To deal with this, stability analysis of a CAV car-following model was conducted to obtain the designs of CAV feedback gains for maintaining stable CAV flow. Simulation experiments were performed to describe a traffic accident on freeway, using car-following models of manually driven vehicles (MDVs) and CAV under different CAV penetration rates. Four scenarios are considered in simulation experiments; that is, the CAV monitors 1, 2, 3, and 4 preceding vehicles, respectively. Based on the simulation experiments, surrogate safety indicators, time-exposed time-to-collision (TET), and time-integrated time-to-collision (TIT) are used to evaluate risks of rear-end collisions. <b>Results:</b> Results indicated that CAV helped to decrease the collision risks, especially the more serious collision risks with smaller threshold values of time-to-collision (TTC). In addition, the reductions in collision risks are more obvious when CAV feedback changes from one link to 2 links. In addition, reducing amplitudes are not significant if the CAV feedback is extended from 2 links to 3 or 4 links. <b>Conclusions:</b> Two links of CAV feedback are appropriate when control complexity is a priority, whereas 3 links is the better choice when reductions in collisions are a priority. The findings of this study provide helpful reference for CAV control and design before larger-scale implementation in real vehicles.
DOI: 10.48677/fc659eba-6bf9-4aba-b9f2-f65bd0ef13c9
title: Kartographisches Modell 1:250 000 Vektor Stichtag 01.01.2022

description: Das KM250-V umfasst den Inhalt des Kartographischen Modells 1:200 000 - Raster (KM200-R) in Vektorform, jedoch nur vom Bundesgebiet und generalisiert entsprechend dem Maßstab 1:250 000.
Österreichs Anteil am paneuropäischen Datensatz EuroRegionalMap (ERM) wird davon abgeleitet.
Die vom KM250-V abgeleitete, staatliche Österreichische Karte 1:250 000 (ÖK250) wird in Kooperation mit dem Bundesministerium für Landesverteidigung (BMLV) gedruckt.

Das KM250-V ist in folgende Objektbereiche gegliedert:
• Verkehr
• Gewässer
• Raumgliederung
• Siedlung
• Höhenschichtlinien (inkl. Attribute)
• Bodenbedeckung
• Einzelsignaturen
• Namen

Stichtag = Erstellungsdatum:
Die Daten sind zu diesem Tag der aktuellste Datenbestand des BEV.
Dies ist nicht ident mit dem Aufnahme- bzw. Vermessungsdatum.
DOI: 10.6084/m9.figshare.17105603
title: Genomic Insights into the Adaptability of the Spoilage Bacterium <i>Lactobacillus acetotolerans</i> CN247 to the Beer Microenvironment

description: A novel beer-spoilage bacterium, <i>Lactobacillus acetotolerans</i>, has frequently been encountered in south China beer breweries, imparting an undesirable and unpalatable “buttery” taste and oily mouthfeel to beer. Understanding the genetic basis of spoilage bacterial adaptability to the beer microenvironment is crucial for the proper control of bacteria such as <i>L. acetotolerans</i> CN247 at an industrial scale. In this study, the complete genome of <i>L. acetotolerans</i> CN247 was sequenced using the PacBio and Illumina Miseq high-throughput sequencing technologies, and the relationship between genetic and physicochemical properties was analyzed. The genome size of <i>L. acetotolerans</i> CN247 was found to be 1.677 Mb, with a GC content of 37.55%. A total of 1,636 protein-coding genes were predicted, accounting for 88.96% of the genome. The average length of coding sequences was 912 bp. The <i>L. acetotolerans</i> CN247 strain was tolerant to high concentrations of acetic acid (6%) and showed varying degrees of preference for different beer components (i.e., sugars such as maltose, ribose, cellobiose, and mannitol). This strain also had a high tolerance for ethanol (14%) in the beer and was resistant to streptomycin, at a minimum inhibitory concentration of 256 μg/mL. Finally, genes associated with viable but non-culturable (VBNC) bacteria were found in the genome of <i>L. acetotolerans</i> CN247. This is the first study reporting the complete genome sequence of <i>L. acetotolerans</i> as a beer spoilage bacteria. These findings will contribute to the understanding of this bacterium’s life cycle and help in the improvement of industrial contamination prevention practices. Supplemental data for this article is available online at https://doi.org/10.1080/03610470.2021.1997280 .
DOI: 10.6084/m9.figshare.17105603.v1
title: Genomic Insights into the Adaptability of the Spoilage Bacterium <i>Lactobacillus acetotolerans</i> CN247 to the Beer Microenvironment

description: A novel beer-spoilage bacterium, <i>Lactobacillus acetotolerans</i>, has frequently been encountered in south China beer breweries, imparting an undesirable and unpalatable “buttery” taste and oily mouthfeel to beer. Understanding the genetic basis of spoilage bacterial adaptability to the beer microenvironment is crucial for the proper control of bacteria such as <i>L. acetotolerans</i> CN247 at an industrial scale. In this study, the complete genome of <i>L. acetotolerans</i> CN247 was sequenced using the PacBio and Illumina Miseq high-throughput sequencing technologies, and the relationship between genetic and physicochemical properties was analyzed. The genome size of <i>L. acetotolerans</i> CN247 was found to be 1.677 Mb, with a GC content of 37.55%. A total of 1,636 protein-coding genes were predicted, accounting for 88.96% of the genome. The average length of coding sequences was 912 bp. The <i>L. acetotolerans</i> CN247 strain was tolerant to high concentrations of acetic acid (6%) and showed varying degrees of preference for different beer components (i.e., sugars such as maltose, ribose, cellobiose, and mannitol). This strain also had a high tolerance for ethanol (14%) in the beer and was resistant to streptomycin, at a minimum inhibitory concentration of 256 μg/mL. Finally, genes associated with viable but non-culturable (VBNC) bacteria were found in the genome of <i>L. acetotolerans</i> CN247. This is the first study reporting the complete genome sequence of <i>L. acetotolerans</i> as a beer spoilage bacteria. These findings will contribute to the understanding of this bacterium’s life cycle and help in the improvement of industrial contamination prevention practices. Supplemental data for this article is available online at https://doi.org/10.1080/03610470.2021.1997280 .
DOI: 10.6084/m9.figshare.24969968
title: Competing Risk Modeling with Bivariate Varying Coefficients to Understand the Dynamic Impact of COVID-19

description: The coronavirus disease 2019 (COVID-19) pandemic has exerted a profound impact on patients with end-stage renal disease relying on kidney dialysis to sustain their lives. A preliminary analysis of dialysis patient postdischarge hospital readmissions and deaths in 2020 revealed that the COVID-19 effect has varied significantly with postdischarge time and time since the pandemic onset. However, the complex dynamics cannot be characterized by existing varying coefficient models. To address this issue, we propose a bivariate varying coefficient model for competing risks, where tensor-product B-splines are used to estimate the surface of the COVID-19 effect. An efficient proximal Newton algorithm is developed to facilitate the fitting of the new model to the massive data for Medicare beneficiaries on dialysis. Difference-based anisotropic penalization is introduced to mitigate model overfitting and effect wiggliness; a cross-validation method is derived to determine optimal tuning parameters. Hypothesis testing procedures are designed to examine whether the COVID-19 effect varies significantly with postdischarge time and the time since the pandemic onset, either jointly or separately. Applications to Medicare dialysis patients demonstrate the real-world performance of the proposed methods. Simulation experiments are conducted to evaluate the estimation accuracy, Type I error rate, statistical power, and model selection procedures. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.24969968.v1
title: Competing Risk Modeling with Bivariate Varying Coefficients to Understand the Dynamic Impact of COVID-19

description: The coronavirus disease 2019 (COVID-19) pandemic has exerted a profound impact on patients with end-stage renal disease relying on kidney dialysis to sustain their lives. A preliminary analysis of dialysis patient postdischarge hospital readmissions and deaths in 2020 revealed that the COVID-19 effect has varied significantly with postdischarge time and time since the pandemic onset. However, the complex dynamics cannot be characterized by existing varying coefficient models. To address this issue, we propose a bivariate varying coefficient model for competing risks, where tensor-product B-splines are used to estimate the surface of the COVID-19 effect. An efficient proximal Newton algorithm is developed to facilitate the fitting of the new model to the massive data for Medicare beneficiaries on dialysis. Difference-based anisotropic penalization is introduced to mitigate model overfitting and effect wiggliness; a cross-validation method is derived to determine optimal tuning parameters. Hypothesis testing procedures are designed to examine whether the COVID-19 effect varies significantly with postdischarge time and the time since the pandemic onset, either jointly or separately. Applications to Medicare dialysis patients demonstrate the real-world performance of the proposed methods. Simulation experiments are conducted to evaluate the estimation accuracy, Type I error rate, statistical power, and model selection procedures. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.22348565
title: Feature Screening with Conditional Rank Utility for Big-Data Classification

description: Feature screening is a commonly used strategy to eliminate irrelevant features in high-dimensional classification. When one encounters big datasets with both high dimensionality and huge sample size, the conventional screening methods become computationally costly or even infeasible. In this article, we introduce a novel screening utility, Conditional Rank Utility (CRU), and propose a distributed feature screening procedure for the big-data classification. The proposed CRU effectively quantifies the significance of a numerical feature on the categorical response. Since CRU is constructed based on the ratio of the mean conditional rank to the mean unconditional rank of a feature, it is robust against model misspecification and the presence of outliers. Structurally, CRU can be expressed as a simple function of a few component parameters, each of which can be distributively estimated using a natural unbiased estimator from the data segments. Under mild conditions, we show that the distributed estimator of CRU is fully efficient in terms of the probability convergence bound and the mean squared error rate; the corresponding distributed screening procedure enjoys the sure screening and ranking properties. The promising performances of the CRU-based screening are supported by extensive numerical examples. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.22348565.v1
title: Feature Screening with Conditional Rank Utility for Big-data Classification

description: Feature screening is a commonly-used strategy to eliminate irrelevant features in high-dimensional classification. When one encounters big datasets with both high dimensionality and huge sample size, the conventional screening methods become computationally costly or even infeasible. In this paper, we introduce a novel screening utility, Conditional Rank Utility (CRU), and propose a distributed feature screening procedure for the big-data classification. The proposed CRU effectively quantifies the significance of a numerical feature on the categorical response. Since CRU is constructed based on the ratio of the mean conditional rank to the mean unconditional rank of a feature, it is robust against model misspecification and the presence of outliers. Structurally, CRU can be expressed as a simple function of a few component parameters, each of which can be distributively estimated using a natural unbiased estimator from the data segments. Under mild conditions, we show that the distributed estimator of CRU is fully efficient in terms of the probability convergence bound and the mean squared error rate; the corresponding distributed screening procedure enjoys the sure screening and ranking properties. The promising performances of the CRU-based screening are supported by extensive numerical examples.
DOI: 10.6084/m9.figshare.21300021
title: Raw data of UPLCQ-TOF MS.zip

description:   
Components identification of Huoxiang Suling Shuanghua Decoction (HSSD) by using UPLC/Q-TOF MS analysis 
Components identification of HSSD were performed by UPLC/Q-TOF MS analysis including two parts of detection. We firstly identified the ingredients of HSSD using HSSD solution, then the analysis of serum sample after HSSD taken orally in rat was performed subsequently to identified the ingredients of HSSD absorbing into blood. 
Raw data of UPLC/Q-TOF MS were shown here.
DOI: 10.6084/m9.figshare.12911447
title: Fluorescence in situ hybridisation combined with CD138 immunomagnetic sorting is effective to identify cytogenetic abnormalities which play significant prognostic roles in Chinese AL amyloidosis patients

description: Fluorescence in situ hybridisation combined with CD138 immunomagnetic sorting is effective to identify cytogenetic abnormalities which play significant prognostic roles in Chinese AL amyloidosis patients
DOI: 10.6084/m9.figshare.12911447.v1
title: Fluorescence in situ hybridisation combined with CD138 immunomagnetic sorting is effective to identify cytogenetic abnormalities which play significant prognostic roles in Chinese AL amyloidosis patients

description: Fluorescence in situ hybridisation combined with CD138 immunomagnetic sorting is effective to identify cytogenetic abnormalities which play significant prognostic roles in Chinese AL amyloidosis patients