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13 results for “ELSA”
Impedance analysis with ELSA and DRT for various electrochemical and electrical systems
<p>Dataset of the analysis of various electrochemical and electrical systems with Electrochemical System Analysis (ELSA) and Distribution of Relaxation Times method (DRT). For full explanation see publication: [[ Electrochemical System Analysis – from impedance data to system identification ]]</p> <p>The impedance dataset used is available at Zenodo for download: doi:10.5281/zenodo.10794584. A detailed information about the systems and the properties of the spectrum can be found there. The following systems were analyzed:</p> <table> <tbody> <tr> <td> </td> <td> <p><strong>Lithium-Ion battery LFP (A123 26650)</strong></p> </td> <td> <p><strong>Lithium-Ion battery NCR (Panasonic 18650)</strong></p> </td> <td><strong>Vanadium redox-flow Battery</strong></td> <td><strong>Polymer electrolyte membrane fuel cell</strong></td> <td> <p><strong>High-temperature PEM (Custom made)</strong></p> </td> <td> <p><strong>Double-layer capacitor 3.4 kF (Maxwell)</strong></p> </td> <td> <p><strong>Analogue RLC circuit (Custom made)</strong></p> </td> </tr> <tr> <td>Details</td> <td>A123 Systems, <br>26650 lithium iron phosphate | graphite, 2,5 Ah</td> <td>Panasonic NCR-18650B, 18650 nickel-manganese-cobalt-oxid | graphite, 2.5 Ah</td> <td>Micro Flow Cell<br> (Electrocell A/S, Tarm, DK), surface 10 cm2 </td> <td>ElringKlinger<br>(EK) single PEM fuel cell, active surface area 50 cm2 </td> <td>Custom made fuel cell assembly, metallic bipolar plates with single serpentine flow-fields, electrode surface area of 4 cm², polybenzimidazole (PBI) membranes (Dapazol1, Danish Power Systems-DPS1) </td> <td>Maxwell, capacitance 3400 F, 2.85 V</td> <td>Custom made circuit with a parallel connection of a 2.2 μF foil capacitor and a lossy inductor with 9.7 mΩ and 5 mH, factory values may vary ± 10 %</td> </tr> </tbody> </table> <p>The data is available as .json and as .mat to allow easy import in different programming languages. Please note, that complex data in the .json files are converted to strings and thus need to be converted after importing.</p> <p><strong>Naming convention:</strong></p> <p>[[name of system]]_[[rxx (xx = model order for special cases)]]_[[method]]</p> <p>method: drt, elsa, elsa_simulation (simulated impedance data)</p> <p><strong>Data structure:</strong></p> <p>_meta: metadata for software package used<br>_class: classname for class used<br>config: configuration for the analysis<br>data: input data used for the analysis<br><br>Specific to ELSA:<br>- system: Here, all calculated systems (including zeros, poles, gain, partial fraction decomposition, ...) for every step are saved<br>- impedance: Simulated impedance and residuals for all systems<br><br>Specific to DRT:<br>- drt: Result of DRT calcualtion (including h, h_rc, h_rl, r_0, l_0, c_0, lambda, l_curve, ...)<br>- optimization: Matrices of the linear optimization problem<br>- simulation: Simulated impedance and residuals for calculated DRT<br><br></p>
Towards an ELSA curriculum for Data Scientists
<p>Review of the existing approaches and identification of the challenges with respect to the context of developing a curriculum for practitioners, such as variance in experience, education, and cultural background.</p>
Data Scientists and ELSA:Describing the Landscape
<p>A brief description of the status quo: ELSA as part of the Data Science curriculum in tertiary education; ELSA awareness demands in industry; determining the Data Scientist profile now and in the future</p>
Towards creating an ELSA Curriculum for Data Scientists - Introduction
<p>An introduction to the first ELSA workshop within the FAIR Data Spaces project. After a short overview of the project, the aim of the ELSA curriculum and of this workshop are presented.</p>
Welcome-Introduction to the Workshop " A first approach to an ELSA Curriculum for Data Scientists The FAIR Data Spaces Project as a Use Case
<p>Welcome-Introduction to the Workshop " A first approach to an ELSA Curriculum for Data Scientists The FAIR Data Spaces Project as a Use Case", contains a brieff description of the FAIR Data Spaces project</p>
Unfavorable triglyceride-rich particle profile in subclinical thyroid disease: A cross-sectional analysis of ELSA-Brasil
<p><span>Introduction: Subclinical thyroid disorders have been associated with atherosclerosis and increased cardiovascular risk. As triglyceride-rich lipoprotein particles (TRLP) have recently emerged as a casual factor for atherogenesis, the aim of this study was to evaluate the relationship between subclinical hypo and hyperthyroidism and TRLP subfractions.</span></p> <p><span>Methods: We selected 5,066 participants from the ELSA-Brasil cohort with available data of thyroid function and lipid profile measured by NMR. Individuals were divided into three groups by baseline thyroid function (subclinical hypothyroidism, euthyroidism, and subclinical hyperthyroidism). TRLP subfractions were analyzed through Nuclear Magnetic Resonance (NMR) spectroscopy. To examine the association between TRLP subfractions and thyroid function, we conducted univariate and multivariate linear regression models adjusted for demographic characteristics, BMI, diabetes, smoking status and alcohol use.</span></p> <p><span>Results: Of 3,304 individuals, 54% were women, with a mean age of 50.6±8,7 years, 51% white and 53% with at least college education. Of these individuals, 92% were euthyroid, whereas 6.8% had subclinical hypothyroidism and 1.2% had subclinical hyperthyroidism. The univariate linear regression showed that Very Small TRLP (p=0.026) and Very Large TRLP (p=0.008) were statistically increased in subclinical hypothyroidism when compared to euthyroidism. In subclinical hyperthyroidism, there was a reduction in total TRLP (p=0.003), seemingly driven by reduced Very Small-TRLP (p=0.067). The findings were confirmed when adjusted for demographic characteristics, as well as comorbidities.</span></p> <p>Conclusions: This study suggests that subclinical hypothyroidism is associated to very small and very large TRLP, which are related to an unfavorable atherogenic profile. Subclinical hyperthyroidism is associated to lower very small TRLP.</p>
Evaluation of Intravenous Lidocaine and Time to Regression of the Sensory Block After Spinal Anesthesia (ELSA Trial)
ClinicalTrials.gov study NCT04741880. IPD Sharing: NO. Countries: 1. Publications: 21.
Unfavorable triglyceride-rich particle profile in subclinical thyroid disease: A cross-sectional analysis of ELSA-Brasil
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Supplemental Table and Figures for TSH Trajectories in the ELSA-Brasil Cohort
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Towards an ELSA Curriculum for Data Scientists – A first approach
<p>Presentation of the general concept and the proposed content of an ELSA Curriculum for Data Scientists; we also will discuss implementation issues of the curriculum application such as program duration, means of content delivery, and evaluation methods.</p>
"ELSA SCHIAPARELLI" BECOMING A LEGEND OF THE FASHION WORLD
<p><em><span>How Elsa Schiaparelli become a legend of the fashion world and her. The one who sealed his name in history is fashion<span> </span>with courage, creativity and art<span> </span>it is a harmonious story. Its innovate designs are unique<span> </span>with<span> </span>his approaches, he left a big mark on the 20th century fashion world.</span></em></p>
Evaluating BOSCC and ELSA as Outcome Measures in the Context of a JASPER Intervention Trial
ClinicalTrials.gov study NCT04146428. IPD Sharing: NO. Countries: 1. Publications: 0.
ELSA-Brasil Diabetes Data Sets
<p>Diabetes dataset of all the waves from inception to 2023.</p>
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