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1,013 results for “glass”
Interview with Suzanne Carneiro - Google Glass Explorer
<p>A short interview conducted by the researcher, Alexander Hayes, PhD Candidate at the University of Wollongong with Suzanne Carneiro, Google Glass Explorer regarding the phenomenon of Google Glass, a head-worn computer enabling an augmented field-of-view. This interview was conducted by the researcher whilst in the role as Professional Associate at the University of Canberra, ACT Australia. Read more about this research at <a href="https://www.alexanderhayes.com/journal/glassmeetup-symposium">https://www.alexanderhayes.com/journal/glassmeetup-symposium</a></p>
Interview with Det Ansinn - Google Glass Explorer
<p>A short interview conducted by the researcher, Alexander Hayes, PhD Candidate at the University of Wollongong with Det Ansinn, Google Glass Explorer regarding the phenomenon of Google Glass, a head-worn computer enabling an augmented field-of-view. This interview was conducted by the researcher whilst in the role as Professional Associate at the University of Canberra, ACT Australia. Read more about this research at <a href="https://www.alexanderhayes.com/journal/glassmeetup-symposium">https://www.alexanderhayes.com/journal/glassmeetup-symposium</a></p>
Interview - Margaret Powers - Google Glass Explorer
<p>A short interview conducted by the researcher, Alexander Hayes, PhD Candidate at the University of Wollongong with Margaret Powers, Google Glass Explorer regarding the phenomenon of Google Glass, a head-worn computer enabling an augmented field-of-view. This interview was conducted by the researcher whilst in the role as Professional Associate at the University of Canberra, ACT Australia. Read more about this research at <a href="https://www.alexanderhayes.com/journal/glassmeetup-symposium">https://www.alexanderhayes.com/journal/glassmeetup-symposium</a></p>
Interview - Mila Pavlin - Google Glass Explorer
<p>A short interview conducted by the researcher, Alexander Hayes, PhD Candidate at the University of Wollongong with Mila Pavlin, Google Glass Explorer regarding the phenomenon of Google Glass, a head-worn computer enabling an augmented field-of-view. This interview was conducted by the researcher whilst in the role as Professional Associate at the University of Canberra, ACT Australia. Read more about this research at <a href="https://www.alexanderhayes.com/journal/glassmeetup-symposium">https://www.alexanderhayes.com/journal/glassmeetup-symposium</a></p>
Interview - Andrew Vanden Heuvel - Google Glass Explorer
<p>A short interview conducted by the researcher, Alexander Hayes, PhD Candidate at the University of Wollongong with Andrew Vanden Heuvel, Google Glass Explorer regarding the phenomenon of Google Glass, a head-worn computer enabling an augmented field-of-view. This interview was conducted by the researcher whilst in the role as Professional Associate at the University of Canberra, ACT Australia. Read more about this research at <a href="https://www.alexanderhayes.com/journal/glassmeetup-symposium">https://www.alexanderhayes.com/journal/glassmeetup-symposium</a></p>
Interview with Libby Change - Google Glass Explorer
<p>A short interview conducted by the researcher, Alexander Hayes, PhD Candidate at the University of Wollongong with Libby Chang, Google Glass Explorer regarding the phenomenon of Google Glass, a head-worn computer enabling an augmented field-of-view. This interview was conducted by the researcher whilst in the role as Professional Associate at the University of Canberra, ACT Australia. Read more about this research at <a href="https://www.alexanderhayes.com/journal/glassmeetup-symposium">https://www.alexanderhayes.com/journal/glassmeetup-symposium</a></p> <p>This Google Plus 'Hangouts On Air 'livestream' was first published on the researchers own YouTube channel at <a href="https://www.youtube.com/watch?v=7yx9Kz4Pqy4">https://www.youtube.com/watch?v=7yx9Kz4Pqy4</a></p>
Interview with Germanno Teles - Google Glass Explorer
<p>A short interview conducted by the researcher, Alexander Hayes, PhD Candidate at the University of Wollongong with Germanno Teles, Google Glass Explorer regarding the phenomenon of Google Glass, a head-worn computer enabling an augmented field-of-view. This interview was conducted by the researcher whilst in the role as Professional Associate at the University of Canberra, ACT Australia. Read more about this research at <a href="https://www.alexanderhayes.com/journal/glassmeetup-symposium">https://www.alexanderhayes.com/journal/glassmeetup-symposium</a></p> <p> </p> <p>This Google Plus 'Hangouts On Air 'livestream' was first published on the researchers own YouTube channel at <a href="https://www.youtube.com/watch?v=7yx9Kz4Pqy4">https://www.youtube.com/watch?v=7yx9Kz4Pqy4</a></p>
Interview with Andy Kropa - Google Glass Explorer
<p>A short interview conducted by the researcher, Alexander Hayes, PhD Candidate at the University of Wollongong with Andy Kropa, Google Glass Explorer regarding the phenomenon of Google Glass, a head-worn computer enabling an augmented field-of-view. This interview was conducted by the researcher whilst in the role as Professional Associate at the University of Canberra, ACT Australia. Read more about this research at <a href="https://www.alexanderhayes.com/journal/glassmeetup-symposium">https://www.alexanderhayes.com/journal/glassmeetup-symposium</a></p>
High-resolution ptychotomography dataset of nanoporous glass
<p>This repository contains nanoporous glass tomography dataset, acquired at the cSAXS beamline at the Swiss Light Source at the Paul Scherrer Institute in Villigen (Switzerland). Details about the data acquisition can be found in Ref. [1].</p> <p><strong>Citation and acknowledgements</strong></p> <p>For use of the ptychographic X-ray computed tomography dataset on nanoporous glass:</p> <p><em>[1] M. Holler, A. Diaz, M. Guizar-Sicairos, P. Karvinen, E. Färm, E. Härkönen, M. Ritala, A. Menzel, J. Raabe and O. Bunk. Scientific Reports, 4, 3857 (2014).</em></p> <p>Alignment and tomographic reconstruction provided in "<em>aligned_phase_sinogram" and "tomogram_delta" </em> were performed by a method described in</p> <p><em>[2] M. Odstrcil, M. Holler, J. Holler, M. Guizar-Sicairos,"Alignment methods for nanotomography with deep sub-pixel accuracy", Opt. Express, (2019).</em></p> <p><strong>Dataset description</strong></p> <p>The provided dataset is saved in Matlab MAT v7.3 format.</p> <p><em>stack_object</em> - complex valued unaligned projections with dimensions [Npix_vertical, Npix_horizontal, number_of_angles]</p> <p><em>rotation_angle</em> - vector of corresponding projection angles in degrees</p> <p><em>lambda</em> - wavelength of the illumination beam [m]</p> <p><em>pixel_size</em> - size of the reconstruction pixel [m]</p> <p><em>probe_size</em> - size of the reconstruction probe in pixels</p> <p><em>aligned_phase_sinogram</em> - aligned and unwrapped phase projections</p> <p><em>tomogram_delta</em> - reconstructed tomogram of real part of refractive index delta, n = 1-delta-i*beta</p>
Figure 2 in Habitat use and activity of European glass lizard, Pseudopus apodus (Pallas, 1775), in southeastern Bulgaria
Figure 2. Segregation spaces of the captured individuals in Habitat 1.
Figure 1 in Habitat use and activity of European glass lizard, Pseudopus apodus (Pallas, 1775), in southeastern Bulgaria
Figure 1. Location of the studied habitats in the region of southeastern Bulgaria.
Figure 1 in Temporal dynamics of the recruitment of glass eels in two valleys of French Polynesia (Tahiti and Moorea Islands)
Figure 1. – Location of Opunohu's mouth in Moorea Island and Papenoo's mouth in Tahiti Island.
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Policy-guided Monte Carlo on general state spaces: Application to glass-forming mixtures
<p>This dataset is associated with "<a href="https://doi.org/10.1063/5.0221221">Policy-guided Monte Carlo on general state spaces: Application to glass-forming mixtures</a>" by L. Galliano, R. Rende and D. Coslovich. It includes data and workflow to reproduce the figures of the manuscript.</p> <p><strong>Requirements</strong></p> <p>A working installation of Julia (tested with version 1.10.4) is the only software required for this workflow. You can install Julia by following the instructions on the <a href="https://julialang.org/downloads/">Julia website</a>.</p> <p><strong>Dataset</strong></p> <p>Some of the simulations for this project ran for more than a week on a cluster. The Trajectories folder contains results from these simulations, which are necessary to reproduce the figures in the paper. Each folder includes a summary file detailing the simulation parameters and other files containing measured quantities such as potential energy, average acceptance, and parameter values. These folders also contain results from postprocessing the original simulation trajectories carried out with <a href="https://framagit.org/atooms/postprocessing">atooms-postprocessing</a>.</p> <p><strong>Instructions</strong></p> <p>To fully reproduce the analysis from postprocessed data, use the convenience script make at the root of the data set:</p> <p><code>./make all</code></p> <p>This comprises two main steps:</p> <ul> <li><code>./make setup</code> will set up the software environment by checking the Julia installation and installing the required packages in a virtual environment.</li> <li><code>./make workflow</code> will execute the scripts to perform the workflow from the preprocessed trajectory files in the Trajectories folder.</li> </ul> <p>There is also a <code>./make clean</code> option, which uninstalls the virtual environment and removes the results of the workflow.</p> <p><strong>Notes</strong></p> <ul> <li><em>Figure 3</em>: This figure is the result of a two-dimensional simulation that requires the complete Policy-guided Monte Carlo code. Consequently, it is not reproduced by this workflow.</li> <li><em>Figure formats</em>: The Julia scripts generate figures in SVG format. After producing the figures, you can use the <code>./make pdf</code> option to convert them to PDF files. This option requires a working installation of Inkscape, which can be downloaded from <a href="https://inkscape.org">Inkscape website</a></li> </ul> <p><strong>Changelog</strong></p> <ul> <li>1.0.0: initial submission</li> </ul>
Processed model of a Computed Tomography scan of Roman window glass from Ephesos
<h1>Origin</h1> <p>The model is based on a tomography scan on an antique window glass fragment from Ephesos (today Efes, Turkey). The sample was contributed by the <em>Austrian Archaeological Institute</em>, Vienna, and has the inventory ID EVH12/1017/1322.</p> <p>The original scan data is published as</p> <p>Grobe and Schuetz (2021). Computed tomography scan of Roman window glass from Ephesos. <a href="https://doi.org/10.5281/zenodo.5651890">doi:10.5281/zenodo.5651890</a></p> <p>and is described in:</p> <p>Grobe, Noback, and Schuetz (2021). A model chain to simulate daylight in historic built environments. Presented at: <em>Widening Horizons - 27 Annual Meeting of the European Association of Archaeologists</em>, Kiel, Germany. <a href="https://doi.org/10.5281/zenodo.5495764">doi:10.5281/zenodo.5495764</a></p> <h1>Processing</h1> <p>The scan was processed to prepare its conversion into a simulation model, i.e.</p> <ul> <li>small isolated mesh components were deleted,</li> <li>disconnected and duplicate vertices and faces were removed,</li> <li>the outer surfaces were re-constructed by meshlab's implementation of the _Screened Poisson_ algorithm, and</li> <li>the resulting mesh was intersected with an exctruded rectangle.</li> </ul>
Lambda-cyhalothrin-driven mortality of pest control agents - IRAC insecticide-coated glass vials test
<p>The dataset contains 24 h mortality data from the IRAC-recognised insecticide-coated glass vials test on lambda-cyhalothrin toxicity to pest control agents tested in 5 European countries. Individuals of each tested species were exposed to five insecticide doses, relative to the Recommended Field Dose (RFD), namely 0.8% RFD, 4% RFD, 20% RFD, 100% RFD, and 200% RFD, plus acetone control. RFD was assumed at 7.5 g a.i./ha as this value is most relevant to the crops covered by the study. <strong>The dataset was used to generate Species Sensitivity Distributions published in the article "Species Sensitivity Distribution (SSD) profiles towards λ-cyhalothrin for key ecosystem service provider (ESP) species across five European countries representing different pedoclimatic zones", STOTEN 2024, which should be quoted if the data are used for any purpose: https://doi.org/10.1016/j.scitotenv.2024.176412. </strong></p> <p>The research was funded by the European Union Horizon 2020 Research and Innovation Program “EcoStack” (grant agreement no. 773554). </p> <p> </p>
Dataset for publication: "Structural and spectroscopic studies of lithium tetraborate glass co-doped with Sm and Cu"
<p>Dataset for the article: B.V. Padlyak, I.I. Kindrat, V.T. Adamiv, A. Drzewiecki, B. Cieniek, I. Stefaniuk, Structural and spectroscopic studies of lithium tetraborate glass co-doped with Sm and Cu, Phys. Chem. Chem. Phys. 26 (2024) 22006–22022, https://doi.org/10.1039/d4cp01633e.</p>
Glass Imitations of Stones in the Roman Period and their Reinterpretation in the Modern Era (PID2020-117299GB-I00), acronym LAPISVITRUMQUE [Dataset]
<p>The forms collect information on the pieces included in the Project “Glass Imitations of Stones in the Roman Period and their Reinterpretation in the Modern Era” (PID2020-117299GB-I00), acronym: LAPISVITRUMQUE, funded by MCIN/ AEI/10.13039/501100011033. There are three forms: one for glass (Tabla_vidrio), another for precious and ornamental stones (Tabla_piedras), and a third that relates the two (Tabla_correlacion). The first two include data related to the pieces themselves and the third seeks to compare glass and stone through various filters by set, group, class, colour and quality. This form is constantly being updated as new information is added. In the case of glass, it can be used to determine the shapes imitated in their decoration and the type of ornamental rocks or precious stones they imitate. And in the case of stone productions (<em>instrumenta domestica</em>, personal ornaments, etc.) to contrast their appearance or not in glass.</p>
Dataset for Scaling Whole-Chip QAOA for Higher-Order Ising Spin Glass Models on Heavy-Hex Graphs
<p>Dataset for the paper titled Scaling Whole-Chip QAOA for Higher-Order Ising Spin Glass Models on Heavy-Hex Graphs</p> <p>Pre-print located at https://arxiv.org/abs/2312.00997</p> <p>See README.md for complete data description</p> <p>LA-UR-24-31392</p>
DFTB study of silica glass under pressure (figures/samples trajectories)
<p>This deposit contains:</p> <p>1) Configurations (XYZ format) for selected densities/pressures (~100 configurations) extracted from the corresponding DFTB trajectories.</p> <p>(see configs-2-deposit.zip). The file readme-configs-2-deposit.txt gives details on configuration file and corresponding box size, pressure and density.</p> <p>2) xmgrace source files of the manuscript's figures (file figures.zip). Each .agr file contains the XY data of the plotted quantities.</p>
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