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64 results for “Aluminium”
Yields from paper: ALUMINIUM-26 FROM MASSIVE BINARY STARS II. ROTATING SINGLE STARS UP TO CORE-COLLAPSE AND THEIR IMPACT ON THE EARLY SOLAR SYSTEM
<p>Title: Aluminium-26 From Massive Binary Stars II: ROTATING SINGLE STARS UP TO CORE-COLLAPSE AND THEIR IMPACT ON THE EARLY SOLAR SYSTEM<br> Authors: Brinkman H.E., den Hartogh J. W., Doherty C.L., Pignatari M., Lugaro M.<br> ================================================================================<br> Description of contents: A .tar.gz package containing three files with the complete set<br> of yields from the models presented in this paper. YieldsNR.txt contains the yields for the<br> non-rotating models and Yields150.txt and Yields300.txt the yields for the models<br> rotating at an initial velocity of 150 and 300 km/s, respectively.</p> <p>================================================================================</p>
Yields from paper: ALUMINIUM-26 FROM MASSIVE BINARY STARS III. BINARY STARS UP TO CORE-COLLAPSE AND THEIR IMPACT ON THE EARLY SOLAR SYSTEM
<p>================================================================================<br> Title: Aluminium-26 From Massive Binary Stars III: BINARY STARS UP TO CORE-COLLAPSE AND THEIR IMPACT ON THE EARLY SOLAR SYSTEM<br> Authors: Brinkman H.E., Doherty C.L., Pignatari M., Pols, O. R., Lugaro M.<br> ================================================================================<br> Description of contents: A .tar.gz package containing 12 files with the complete set<br> of yields from the models presented in this paper. Each file contains one primary mass,<br> e.g., Yields10Msun contains the yields for the binary systems with a 10Msun primary.<br> The second line in each file has the periods.<br> ================================================================================</p>
Potential of Mean Force (PMFs) for Zerovalent Aluminium (100-110-111) NanoParticles
<p>The dataset encompasses the potential of mean force data concerning three distinct fcc configurations of zero valent aluminum nanoparticles: (100), (110), and (111), in interaction with side-chain analogs of 22 diverse amino acids, which constitute the basic building blocks of proteins. The calculations employed the adaptive Well-Tempered Metadynamics method, a well-established technique previously utilized for assessing biomolecule adsorption on materials like Fe, TiO2 and Ag. To conduct these simulations, we utilized the GROMACS and PLUMED software packages, while the construction of the aluminium slabs was accomplished with the CHARMM-GUI/Nanomaterial Modeler. In the metadynamics biased simulation, the Surface Separation Distance (SSD) served as the primary reaction coordinate. This SSD quantifies the minimum separation between the center-of-mass (COM) of the side-chain analog (SCA) molecule and the surface atoms (ri) along the z-coordinate.</p>
Ultrasonic Pulse Transmission Tests: Datasets - Test Series 7, Reference Tests on Aluminium Cylinder
<p>The test series was created in order to validate the stability and functionality of the test device and to create a data reference for metals (aluminium cylinder). The approach for the test series was to vary the parameters number-of-samples-recorded and pulse-voltage. This results in a two-dimensional test parameter grid. Tests were performed several times for each grid point (number-of-samples-recorded versus pulse-voltage) in order to receive statistical information about the stability of the test results. The material tested was an aluminium cylinder with a diameter of 50 millimetres and a height of 50 millimetres. The test method used was the ultrasonic pulse transmission method with combined compression- and shear wave measurements. All test data and metadata are summarized into datasets using GNU Octave's open binary file format.</p>
Dataset for "Scanning precession electron diffraction data analysis approaches for phase mapping of precipitates in aluminium alloys"
<p>Data needed to reproduce the results in "Scanning precession electron diffraction data analysis approaches for phase mapping of precipitates in aluminium alloys" published in Ultramicroscopy. The codes and notebooks can be found at 10.5281/zenodo.8321258.</p>
Safety and Immunogenicity of an Aluminium Hydroxide/LHD153R Adjuvanted Meningococcal C-CRM197 Conjugate Vaccine
ClinicalTrials.gov study NCT02639351. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Easy and fast fabrication of self-cleaning and anti-icing perfluoroalkyl silane film on aluminium
<p><strong>Easy and fast fabrication of self-cleaning and anti-icing perfluoroalkyl silane film on aluminium</strong></p> <p><strong>Peter Rodič<sup>a,</sup></strong><sup><a href="#_ftn1">[1]</a></sup><strong>, Barbara Kapun<sup>a</sup>, Matjaž Panjan<sup>b</sup>, Ingrid Milošev<sup>a</sup></strong></p> <p><sup>a</sup> Jožef Stefan Institute, Department of Physical and Organic Chemistry, Jamova c. 39, SI-1000 Ljubljana, Slovenia</p> <p><sup>b </sup>Jožef Stefan Institute, Department of Thin Films and Surfaces, Jamova c. 39, SI-1000 Ljubljana, Slovenia</p> <p> </p> <p>Appendix B:</p> <p>The following videos complement the data and Figures 9-11 in this article. They are available in the online version.</p> <p>Appendix 2 = Video A1. Bouncing dynamic characterisation</p> <p>Appendix 3 = Video A2. Water rolling off the surface</p> <p>Appendix 4 = Video A3. Self-cleaning of solid pollutants</p> <p>Appendix 5 = Video A4. Anti-icing properties and melting delay</p> <p>Appendix 6 = Video A5. Ice adhesion on ground and treated aluminium</p> <p> </p> <p><sup><a href="#_ftnref1">[1]</a> </sup>Corresponding author; e-mail: <a href="mailto:peter.rodic@ijs.si">peter.rodic@ijs.si</a> (P. Rodič); tel.: + 386 1 4773 261</p> <p> </p>
Supplementary dataset to "A new genome allows the identification of genes associated with natural variation in aluminium tolerance in Brachiaria grasses"
<p>SUPPLEMENTARY DATASETS TO:</p> <p><strong>A new genome allows the identification of genes associated with natural variation in aluminium tolerance in <em>Brachiaria </em>grasses</strong></p> <ul> <li><strong>Supplementary File 1:</strong> Cumulative root length (RL), root biomass (RB), and root tip diameter (RD) during Al<sup>3+</sup> stress (A) and control (C) conditions, and the ratio (R) between stress and control values, in the interspecific progeny between CIAT 606 and BXR 44-02.</li> <li><strong>Supplementary File 2: </strong>Gene annotation in GFF3 format.</li> <li><strong>Supplementary File 3: </strong>Functional annotation of the genes, including GO terms and homologous proteins in NCBI nr database, Uniprot, <em>A. thaliana</em>, rice, <em>P. halli</em>, <em>S. italica</em> and <em>S. viridis</em><em>.</em></li> <li><strong>Supplementary File 4: </strong>Assignment of the proteins in the Poaceae family to eggNOG orthologous groups to identify shared clusters of proteins among these species.</li> <li><strong>Supplementary File 5:</strong> Anchoring 21,145 <em>Brachiaria ruziziensis</em> scaffolds longer than 10 Kbp or with at least one annotated gene (533.9 Mbp) in <em>S. italica </em>nine chromosomes.</li> <li><strong>Supplementary File 6:</strong> Chromosomal position of the 41,974 transcripts in <em>Brachiaria ruziziensis</em> based on the synteny with the <em>S. italica</em> genome. In BED5 format.</li> <li><strong>Supplementary File 7: </strong>Genetic map with 4,427 markers placed at LOD 10 in 18 linkage groups, including the position of each marker in the genetic map and genome assembly.</li> <li><strong>Supplementary File 8:</strong> Functional annotation of the 84 DE genes within QTLs.</li> <li><strong>Supplementary File 9:</strong> Enrichment analysis of the GO terms (full ontology) over-represented among DE genes in each species with the biological processes (BP) and molecular functions (MF).</li> <li><strong>Supplementary File 10:</strong> Enrichment analysis of the GO SLIM terms (reduced ontology) over-represented among DE genes in each species with the biological processes (BP) and molecular functions (MF).</li> </ul> <p> </p> <ul> </ul> <p>Margaret Worthington<sup>1#</sup>, Juan Guillermo Perez<sup>1</sup>, Saule Mussurova<sup>2</sup>, Alexander Silva-Cordoba<sup>1</sup>, Valheria Castiblanco<sup>1</sup>, Juan Andres Cardoso Arango<sup>1</sup>, Charlotte Jones<sup>3</sup>, Narcis Fernandez-Fuentes<sup>3</sup>, Leif Skot<sup>3</sup>, Sarah Dyer<sup>2&</sup>, Joe Tohme<sup>1</sup>, Federica Di Palma<sup>2</sup>, Jacobo Arango<sup>1</sup>, Ian Armstead<sup>3</sup>, Jose J De Vega<sup>2</sup></p> <p> </p> <p>1. International Center for Tropical Agriculture (CIAT), A.A. 6713, Cali, Colombia.</p> <p>2. Earlham Institute, Norwich Research Park, Norwich, NR4 7UZ, UK.</p> <p>3. Institute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University, Aberystwyth, UK.</p> <p> </p> <p> </p>
Deformation Enhanced Diffusion in Aluminium Alloys - Supporting data
<p>Supporting data and manuscript for the paper "Deformation Enhanced Diffusion in Aluminium Alloys" published in Metallurgical and Materials Transactions A.</p>
Dataset of article : A phenazine-based conjugated microporous polymer as high performing cathode for aluminium-organic batteries
<p>Data used for preparation of the article : A phenazine-based conjugated microporous polymer as high performing cathode for aluminium-organic batteries</p><p> Abstract of article: </p><p>Here, we present one of the first examples of a phenazine-based hybrid microporous polymer, referred to as IEP-27-SR, utilized as an organic cathode in an aluminium battery with an AlCl3-EMIMCl ionic liquid electrolyte. The preliminary redox and charge storage mechanism of IEP-27-SR was confirmed by ex situ ATR-IR and EDS analyses. The introduction of phenazine active units in a robust microporous framework resulted in a remarkable rate-capability (specific capacity of 116 mAh g-1 at 0.5C with 77% capacity retention at 10C) and notable cycling stability, maintaining 75% of their initial capacity after 3440 charge-discharge cycles at 1C (127 days of continuous cycling). This superior performance compared to reported Al//n-type organic cathode RABs is attributed to the stable 3D porous microstructure and the presence of micro/mesoporosity of IEP-27-SR, which facilitates electrolyte permeability and improves kinetics.</p>
Temperature and chemical composition of combustion gases over reaction time in several combustion tests conducted at a lab pilot plant to characterise a SRF prepared for an aluminium scrap pre-heating system (REVaMP project)
<p>Open access to experimental data generated by the REVaMP project (GA 869882, Horizon 2020, European Union) along the research of the combustion of a SRF, prepared from ASR, to be used as alternative fuel in a scrap pre-heater at an aluminium refinery plant.Research pertaining to Task 1.1 (WP1), Deliverable D1. <br> Underlying data for the publication Acha, E.; Lopez-Urionabarrenechea, A.;Delgado, C.; et al. Combustion of a Solid Recovered Fuel (SRF) Produced from the Polymeric Fraction of Automotive Shredder Residue (ASR). Polymers 2021, 13, 3807. https://doi.org/10.3390/polym13213807. Data related to Figures 3, 4, 5 in the article and Figures S3 and S5 of Supplementary materials of the manuscript.</p> <p>Subject: Study of the combustion of a SRF prepared from ASR in a lab-scale pilot plant consisting of a tank reactor and a packed-bed tubular reactor arranged in series, to evaluate the effects on kinetics and thermodynamics of the temperature and the type and flow rate of the oxidiser. Real-time measurements of the temperature of the tank, temperature of the gases and of the concentrations of O<sub>2</sub>, CO<sub>2</sub>, CO, N<sub>2</sub>O, NO<sub>2</sub>, NO, NH<sub>3</sub>, SO<sub>2</sub>, CH<sub>4</sub>, C<sub>2</sub>H<sub>6</sub>, C<sub>2</sub>H<sub>4</sub>, C<sub>3</sub>H<sub>8</sub>, C<sub>6</sub>H<sub>14</sub>, CH<sub>2</sub>O, HCl and HF in the combustion gases produced in 5 combustion runs performed at different reaction conditions. Useful information for designing the operation conditions of the SRF combustion chamber of the scrap pre-heater and for defining the flue gas cleaning requirements.</p>
Digital image correlation displacements and strains around a growing fatigue crack in an AA2024-T3 aluminium alloy
<p>This repository contains the data used in the research article:</p> <p>Strohmann, Melching, Paysan, Dietrich, Requena, Breitbarth. Next generation fatigue crack growth experiments of aerospace materials. <em>Scientific Reports</em>, 2024, <a href="https://doi.org/10.1038/s41598-024-63915-x" target="_blank" rel="noopener">https://doi.org/10.1038/s41598-024-63915-x</a>.</p> <p> </p> <p><strong>General Description</strong><br>The dataset contains digital image correlation (DIC) data of a growing fatigue crack in an AA2024-T3 alloy. For the experiment, two independent DIC measurement devices were used – a global full-field DIC and a local microscopic DIC. Thus, the dataset consists of two main directories. One for the 3D DIC data ("global_3d_dic") and a second one for the 2D microscopic DIC data ("local_2d_dic"). Both of these are described and connected by rich metadata.<br>The 3D DIC data directory contains two subdirectories (a "Nodemaps" directory and a "Connections" directory). Both of them contain 797 '.txt'-files. The "Nodemaps" give the DIC results (i.e. coordinates, displacement and strains) for every timestep throughout the experiment. These are usually maximum, minimum, and mean load of a certain load cycle. However, for few crack lengths, we obtained DIC data for a higher number (ca. 100) of images within one load cycle. The nodemaps' format and structure is optimized for data processing in the open-source Python package <a title="CrackPy" href="https://doi.org/10.5281/zenodo.10990494" target="_blank" rel="noopener">CrackPy</a>. The last integer number of each filename can be interpreted as a 'timestep' throughout the experiment. The "Connection" files represent the connections of the DIC facet center coordinates. These are necessary to export the "Nodemap" data to any mesh like dataset, e.g. for VTK. <br>The 2D microscopic DIC directory contains 3 subdirectories ("80", "90", "95") for predefined positions with respect to the specimen coordinate system. For each location, a number of DIC data are stored, again within two subdirectories "Nodemaps" and "Connections" as '.txt'-files. For the 2D DIC data, the last integer of each name cannot be correlated to a timestep. Instead, we provide a descriptive file "local_2d_microscopic_coordinates_by_nodemaps.csv" linking each and every "Nodemap"-file to its respective coordinates and timestep (i.e. the load cycles).</p> <p>To describe the data, we distinguish between<br>1. Higher-level metadata - these data contain information about the experiment and material. The data do not change between timesteps and are given within this description.<br>2. Timestep metadata - these data contain information about one timestep of the experiment and are stored in the header of each "Nodemap"-file.</p> <p> </p> <p><strong>Higher-level Metadata</strong><br>The experiment is described in detail in the reference publication by <a title="Strohmann et al. (2024)" href="https://www.researchsquare.com/article/rs-3128435/v1" target="_blank" rel="noopener">Strohmann et al. (2024)</a> and a summary is given below. Moreover, we provide a dictionary in javascript object notation explaining terms which are used in the higher-level metadata. We use such a dictionary since no standardized ontology is currently available. This dictionary is stored in the main directory as "higher_level_metadata_dictionary.json".</p> <p><em>Material </em><br>A commercially available AA2024-T3 aluminum alloy was tested in L-T orientation, i.e. rolling direction, L, parallel to the load axis. The specimen had a width W = 160 mm cut from a rolled sheet of 2 mm.</p> <p><em>Digital image correlation</em><br>For 3D DIC, we used a GOM Aramis 12M system with a facet size of 20 x 20 pixels and a 16 pixels facet distance. One facet, therefore, covers ~0.614 x 0.614 mm². For the 2D microscopic DIC we captured images using a Zeiss STEMI 206C light optical microscope (LOM), equipped with a Basler a2A5320-23µmPro global shutter CMOS camera. One image has a size of 10.2 x 5.7 mm², 5328 x 3040 Pixels and a facet size of 40x40 pixels (distance of facet center points 30 pixels). The LOM was mounted to a robotic arm, a KUKA lbr Iiwa Cobot.</p> <p><em>Fatigue crack growth</em><br>We used a standard uniaxial servo-hydraulic testing rig. We applied a cyclic load ranging from Fmin = 4.5 kN to Fmax = 15 kN, i.e. R=Fmin/Fmax = 0.3. Throughout the experiment, we measured the crack length using direct current potential drop (DCPD).</p> <p><em>Image acquisition during fatigue crack growth</em><br>We acquired reference images for the DIC calculations before the experiment. For the global DIC, this is simply an image of the unloaded specimen. For the local microscopic DIC, the reference images are acquired in a checker board pattern with an overlap of 70 %. The depth of focus was calibrated for each image individually following (see <a title="Paysan et al. (2023)" href="https://doi.org/10.1007/s11340-023-00964-9" target="_blank" rel="noopener">Paysan et al. (2023)</a>). Images were acquired every 0.5 mm of crack extension at minimum, maximum and 0.5(Fmax- Fmin).</p> <p> </p> <p><strong>Timestep Metadata</strong><br>The timestep-wise metadata is stored in the individual DIC output files, "Nodemaps". We explain the terms used in a second dictionary, "timestep_level_metadata_dictionary.json". For all DIC data, we stored all data coming from the machine controller, i.e. number of cycles, force, displacement of the cylinder and also potential and crack length calculated from the potential as well as current values for back face strain gauges at both back faces of the MT specimen. In addition, for the local microscopic DIC data, we also store the current location of the center point of the image with respect to the global coordinate system provided by the current position of the robot carrying the LOM.</p>
Molecular Dynamics Simulation of Aluminium Binding to Amyloid-beta and its Effect on Peptide Structure
<p>MD frames and highest populated clusters, in PDB format</p>
Experimental data used in the article entitled "Tuning the defects density in additively manufactured fcc aluminium alloy via modifying the cellular structure and post-processing deformation"
Open the record for dataset details and reuse information.
Guided wave measurements based on dual PZT and FBG sensors in aluminium plate
<p>The upload contains data files for measurement on aluminium plate 1000 mm x 1000 mm x 1 mm for the case of PZT actuation (in the middle) sesing 250 mm from actuation by pairs of 2xFBG and 2xPZT sensors (located as a pairs located on the left and right sied of actuator). Each pair contains of the sam sensor on the top and bottom surface. Frequencies 50-250 kHz, excitation: 5 cycles of sine modulated by Hann window.</p> <p>The measurement campaign will be explained in details in a journal article which is in preparation. The link to the article will be updated. </p> <p>The measurements were conducted under the research related to grant agreement no. 2020/39/B/ST8/01753 in the frame of the OPUS project entitled: "Study of elastic wave mode sensing and separation using FBG sensors for structural health monitoring ", supported by the National Science Centre, Poland.</p>
Erbium-doped Yttrium Aluminium Garnet Laser(Er:Yag)Associated With Amorolfine Lacquer in the Treatment of Onychomycosis
ClinicalTrials.gov study NCT01528813. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Mixed Gel of Hydrocortisone and Aluminium Phosphate Preventing Endoscopic Submucosal Dissection Postoperative Stenosis for Patients With Large Esophageal Carcinoma
ClinicalTrials.gov study NCT03165344. IPD Sharing: NO. Countries: 1. Publications: 12.
Alginate-based Reflux Suppressant and Magnesium-aluminium Antacid Gel for Treatment of Heartburn in Pregnancy
ClinicalTrials.gov study NCT02470117. IPD Sharing: Not stated. Countries: 1. Publications: 7.
First Clinical Study of Erbium - Yttrium Aluminium Garnet (YAG) Laser Vaporization of Cutaneous Neurofibromas
ClinicalTrials.gov study NCT00921037. IPD Sharing: Not stated. Countries: 1. Publications: 5.
METHODS. Bovine ilia were used in the simulations because their histological structure (a fibrolamellar cortex overlying cancellous bone26) was found to match that of the Triceratops ilium. Bone sections 10 x 50 x 縠 3.0 cm with cortices ranging from 0.5 to 5.5 mm in depth (the range of initial cortical-thickness estimates based on gross morphology) were mounted on a servohydraulic mechanical loading frame (MTS Bionix, Minneapolis) and penetrated with an aluminium-bronze T. rex tooth replica. The replica was cast from an actual adult T. rex maxillary tooth, after casts made from some ofthe deeper bite marks revealed the size and shape of the teeth that had impacted the pelvis8 • The replica was penetrated into the ilia sections at 1 mm s-1 to a depth of 11.5 mm, equivalent to the maximum depth of the deepest ilium bite mark8 • Forces were measured with an MTS 25 N strain-gauge-based axial load cell accurate to 0.2%. The forces increased with increasing penetration depth even after the cortical layer had been perforated and the underlying cancellous bone was being crushed. The increase in force with penetration depth is attributed to a greater cortical surface area coming into contact with the semi-conical penetrator tooth as it descended through the ilia. in Bite-force estimation for Tyrannosaurus rex from tooth-marked bones
METHODS. Bovine ilia were used in the simulations because their histological structure (a fibrolamellar cortex overlying cancellous bone26) was found to match that of the Triceratops ilium. Bone sections 10 x 50 x 縠 3.0 cm with cortices ranging from 0.5 to 5.5 mm in depth (the range of initial cortical-thickness estimates based on gross morphology) were mounted on a servohydraulic mechanical loading frame (MTS Bionix, Minneapolis) and penetrated with an aluminium-bronze T. rex tooth replica. The replica was cast from an actual adult T. rex maxillary tooth, after casts made from some ofthe deeper bite marks revealed the size and shape of the teeth that had impacted the pelvis8 • The replica was penetrated into the ilia sections at 1 mm s-1 to a depth of 11.5 mm, equivalent to the maximum depth of the deepest ilium bite mark8 • Forces were measured with an MTS 25 N strain-gauge-based axial load cell accurate to 0.2%. The forces increased with increasing penetration depth even after the cortical layer had been perforated and the underlying cancellous bone was being crushed. The increase in force with penetration depth is attributed to a greater cortical surface area coming into contact with the semi-conical penetrator tooth as it descended through the ilia.
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Allen Brain Atlas
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OpenNeuro
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