cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7261922
title: Titanium dioxide nanoparticles assessment in seaweeds by single particle inductively coupled plasma – Mass spectrometry

description: n this study, a first attempt for isolating and determining (characterising) background levels of titanium dioxide nanoparticles (TiO<sub>2</sub> NPs) in seaweed has been developed by using single particle inductively coupled plasma – mass spectrometry (SP-ICP-MS). Seaweeds were processed using an optimised ultrasound assisted extraction (UAE) procedure based on tetramethylammonium hydroxide (TMAH) before dilution and SP-ICP-MS analysis. The effect of the TMAH percentage in the extracting solution, as well as the volume of extracting solution and sonication (extraction) time, has been fully assessed. Additional experiments also showed that TiO<sub>2</sub> NPs were quantitatively released from the seaweed matrix in one UAE step since the analysis of residues gave TiO<sub>2</sub> NPs concentrations lower than the limit of quantification (LOQ) of the method. Validation of the method with 50 and 100 nm TiO<sub>2</sub> NPs (10 μg L<sup>−1</sup> as Ti) showed good analytical recovery (115% and 112% for 50 and 100 nm TiO<sub>2</sub> NPs, respectively), and good reproducibility (2% for size and 16% for number of TiO<sub>2</sub> NPs). Experiments regarding TiO<sub>2</sub> NPs stability showed that the extracted NPs are stable since there were not changes on the number of TiO<sub>2</sub> NPs and TiO<sub>2</sub> NPs size distributions when exposing TiO<sub>2</sub> NPs standards to the optimised extractive conditions.
DOI: 10.5281/zenodo.7261923
title: Titanium dioxide nanoparticles assessment in seaweeds by single particle inductively coupled plasma – Mass spectrometry

description: n this study, a first attempt for isolating and determining (characterising) background levels of titanium dioxide nanoparticles (TiO<sub>2</sub> NPs) in seaweed has been developed by using single particle inductively coupled plasma – mass spectrometry (SP-ICP-MS). Seaweeds were processed using an optimised ultrasound assisted extraction (UAE) procedure based on tetramethylammonium hydroxide (TMAH) before dilution and SP-ICP-MS analysis. The effect of the TMAH percentage in the extracting solution, as well as the volume of extracting solution and sonication (extraction) time, has been fully assessed. Additional experiments also showed that TiO<sub>2</sub> NPs were quantitatively released from the seaweed matrix in one UAE step since the analysis of residues gave TiO<sub>2</sub> NPs concentrations lower than the limit of quantification (LOQ) of the method. Validation of the method with 50 and 100 nm TiO<sub>2</sub> NPs (10 μg L<sup>−1</sup> as Ti) showed good analytical recovery (115% and 112% for 50 and 100 nm TiO<sub>2</sub> NPs, respectively), and good reproducibility (2% for size and 16% for number of TiO<sub>2</sub> NPs). Experiments regarding TiO<sub>2</sub> NPs stability showed that the extracted NPs are stable since there were not changes on the number of TiO<sub>2</sub> NPs and TiO<sub>2</sub> NPs size distributions when exposing TiO<sub>2</sub> NPs standards to the optimised extractive conditions.
DOI: 10.5281/zenodo.7261908
title: Ultrasonication followed by enzymatic hydrolysis as a sample pre-treatment for the determination of Ag nanoparticles in edible seaweed by SP-ICP-MS

description: Seaweed can bioaccumulate nanomaterials that would be transferred to the trophic chain. This work describes the optimization of a method for the separation of silver nanoparticles (AgNPs) from seaweed using an ultrasound-assisted enzymatic hydrolysis method and ulterior determination by single particle inductively coupled plasma mass spectrometry (SP-ICP-MS). The following parameters affecting the isolation of AgNPs were optimized using a <em>Palmaria palmata</em> (red seaweed) sample previously exposed to AgNPs: type of sonication (bath vs. ultrasonic probe), ultrasound amplitude, sonication time, sonication mode (pulsed vs. continuous sonication), concentration of the enzymes mixture (Macerozyme R-10®), and enzymatic hydrolysis time. The stability of AgNPs during extraction was tested by transmission electron microscopy (TEM) and using a standard of 15 nm of polyvinylpyrrolidone (PVP)-coated AgNPs analyzed by SP-ICP-MS. The analytical performance was evaluated with good results. For total Ag determination, the limits of detection and quantification were 2.2 and 7.7 ng g<sup>−1</sup>, respectively; and for AgNPs determination, the limits of detection in size and number were 14 nm and 4.34 × 10<sup>7</sup> part g<sup>−1</sup>, respectively. Besides, the matrix effect, the repeatability and the analytical recovery were also studied. Finally, the method was applied to the analysis of several red (<em>Palmaria palmata</em>) and green (<em>Ulva</em> sp.) seaweed samples.
DOI: 10.5281/zenodo.7261909
title: Ultrasonication followed by enzymatic hydrolysis as a sample pre-treatment for the determination of Ag nanoparticles in edible seaweed by SP-ICP-MS

description: Seaweed can bioaccumulate nanomaterials that would be transferred to the trophic chain. This work describes the optimization of a method for the separation of silver nanoparticles (AgNPs) from seaweed using an ultrasound-assisted enzymatic hydrolysis method and ulterior determination by single particle inductively coupled plasma mass spectrometry (SP-ICP-MS). The following parameters affecting the isolation of AgNPs were optimized using a <em>Palmaria palmata</em> (red seaweed) sample previously exposed to AgNPs: type of sonication (bath vs. ultrasonic probe), ultrasound amplitude, sonication time, sonication mode (pulsed vs. continuous sonication), concentration of the enzymes mixture (Macerozyme R-10®), and enzymatic hydrolysis time. The stability of AgNPs during extraction was tested by transmission electron microscopy (TEM) and using a standard of 15 nm of polyvinylpyrrolidone (PVP)-coated AgNPs analyzed by SP-ICP-MS. The analytical performance was evaluated with good results. For total Ag determination, the limits of detection and quantification were 2.2 and 7.7 ng g<sup>−1</sup>, respectively; and for AgNPs determination, the limits of detection in size and number were 14 nm and 4.34 × 10<sup>7</sup> part g<sup>−1</sup>, respectively. Besides, the matrix effect, the repeatability and the analytical recovery were also studied. Finally, the method was applied to the analysis of several red (<em>Palmaria palmata</em>) and green (<em>Ulva</em> sp.) seaweed samples.
DOI: 10.34740/kaggle/ds/3426734
title: World Happiness 2016 😊
DOI: 10.57745/bqych4
title: aln_stat_ns_pp_ns.tab
DOI: 10.57745/sybk9v
title: locus_stat_exact_mq20.tab
DOI: 10.57745/zfdkd8
title: preprocessing_count.txt
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title: AMETHYSTE_noDup_filters_locus_PH-R23.count.tab

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title: AMETHYSTE_noDup_filters_locus_PH-AP2.count.tab

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title: AMETHYSTE_noDup_filters_locus_PH-N38.count.tab

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title: AMETHYSTE_noDup_filters_locus_PH-G17.count.tab

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DOI: 10.6084/m9.figshare.21517662
title: Supplementary Material for: Development and validation of a cardiovascular disease risk prediction model for patients with non-dialysis-dependent chronic kidney diseases based on the nomogram

description: Introduction Most CKD patients experience cardiovascular issues before commencing renal replacement therapy. An accuracy prediction model is helpful for physicians to assess cardiovascular prognoses in each individual, and to provide insights on how to outline individualized lines of therapy. Method This study enrolled 1138 participants with non-dialysis-dependent chronic kidney disease (NDD-CKD). Following a proportion of 7:3, patients were randomly assigned to training and validation cohorts. The relevant predictors of cardiovascular events were screened using the least absolute shrinkage and selection operator (Lasso) regression. The area under the receiver operating characteristic curve (AUC) and the calibration curve with 1000 bootstraps resamples were used to assess the nomogram's performance. Tests on the discrimination of the prediction model used Kaplan-Meier (KM) curve. Results After screening all the predictors by lasso regression, the five remaining ones (albumin, estimated glomerular filtration rate, etiology of CKD, cardiovascular disease history, and age) were used to construct the prediction model. The AUC of 1-year, 2-year, and 3-year was 0.81 (95% CI = 0.75–0.87), 0.80 (95% CI = 0.75–0.86), and 0.80 (95% CI = 0.73–0.86), respectively. The calibration curve and the KM curve showed good prediction features, and the external validation also had a good prediction performance (AUC of 1-, 2-, and 3-years were 0.77, 0.84, and 0.82, respectively). Conclusion We successfully developed a novel nomogram that has decent prediction performance and can be used for assessing the probability of cardiovascular events in patients with NDD-CKD, displaying valuable potential for clinical application.
DOI: 10.6084/m9.figshare.21639776
title: Supplementary Material for: Regulatory Measures to Improve the Safety of CAR-T-Cell Treatment

description: <b><i>Introduction:</i></b> Regulatory activities aim to facilitate the safe use of novel therapeutics such as genetically engineered chimeric antigen receptor (CAR)-T cells. Toxicities associated with CAR-T-cell therapies have led to modified safety management guidance in clinical trials and the implementation of post-marketing requirements. The aim of this study was to estimate the effect of individual risk-minimizing measures to evaluate the appropriateness of regulatory activities. <b><i>Methods:</i></b> We re-examined clinical trial data prior to and after the introduction of revised treatment guidelines; we analysed spontaneous adverse drug reaction (ADR) reports submitted to the EudraVigilance database in 2019/2020 regarding their completeness; and we performed a survey of treatment centres in Germany that have been qualified for the use of commercial CAR-T cells. <b><i>Results:</i></b> Lower combined incidences of severe cytokine release syndrome (CRS) as well as neurotoxicity occurred following CAR-T-cell treatment after a revision of management guidelines, suggesting earlier intervention compared to before (12.6% vs. 20.5%). Numerous post-marketing ADR reports lacked information important for case assessment. Full details on treatment indication, CRS onset, outcome, and grading were available for just 38.3% of CRS cases. Survey responses support the majority of regulatory requirements for centre qualification. Time investment was highest for training of healthcare professionals, which required an average of 6.5 staff members (range 2–20) and lasted more than 2 days per person in half of the facilities. The need to harmonize the regulatory requirements for the different CAR-T-cell therapeutics was emphasized. <b><i>Conclusion:</i></b> Defined regulatory measures can support the safe and effective use of new therapies and are indicated for structured recording of post-marketing data, and the evaluation of such measures appears to be necessary for the continuous improvement.
DOI: 10.5281/zenodo.7639233
title: Raw datasets for paper "Rapid Spatio-Temporal Flood Modelling via Hydraulics-Based Graph Neural Networks"

description: Raw datasets for paper "Rapid Spatio-Temporal Flood Modelling via Hydraulics-Based Graph Neural Networks". The zip folder comprises 4 subfolders (DEM, WD, VX, VY), containing the elevation, water depths in time, and velocities (in x and y directions) in time for all training and testing simulations. The overview.csv file provides the runtime of the numerical model on each different simulation, identified by its id. The simulations ids are divided as follows: - 1-80: Training and validation - 501-520: Testing dataset 1 - 10001-10020: Testing dataset 2 - 15001-15020: Testing dataset 3
DOI: 10.57745/t25q35
title: PM-N38-12-R1.bam
DOI: 10.6084/m9.figshare.19345430
title: Supplementary Material for: Blocking of CX3CL1 attenuates platelet and leukocyte recruitment in murine hepatic I/R

description: Background. The chemokine fractalkine (CX3CL1) is critically involved in the pathophysiology of different inflammatory diseases and myocardial ischemia-reperfusion (I/R). This study aims to analyze the role of fractalkine in the activation of platelets and leukocytes during hepatic I/R. Methods. Under inhalation anesthesia, C57BL6 mice were subjected to warm hepatic I/R (90min/240min). The animals were pretreated either with a function-blocking anti-mouse CX3CL1 antibody or IgG control administered systemically before ischemia. Sham-operated animals served as controls (n=7 each group). The inflammatory response and sinusoidal perfusion failure were evaluated by intravital microscopy. Hepatic transaminases plasma levels and histopathological tissue damage were determined as markers of hepatocellular injury. Results. Sinusoidal perfusion failure, leukocyte recruitment to the liver, and transaminase activities were sharply increased upon I/R compared to sham-operated mice. Firm adhesion of platelets and concordantly leukocytes to endothelial cells is reduced significantly by a function-blocking anti-fractalkine antibody. We demonstrate that inhibition of fractalkine signaling attenuates leukocyte adhesion in the postischemic liver but does not significantly ameliorate overall perfusion failure and hepatocellular injury. Discussion/Conclusion. Our in vivo data demonstrate a mild attenuating effect of CX3CL1 blockade on platelet and leukocyte, but not CD4+ T cell accumulation and activation in hepatic I/R injury. We report a significant effect of blocking chemokine fractalkine on sinusoidal perfusion failure without considerably improving overall hepatocellular injury during early reperfusion.