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342 results for “CAD”
Cad chuige a mbíonn muid géilliúil ó taobh úsáid na teanga de…
<p>Cur síos ar an treallús teanga, cad é atá i gceist leis, agus na cúiseanna taobh thiar de nós na géilliúlachta teanga i measc chainteoirí mionteangacha.</p> <p>This animation is intended to be used as part of the Trainers' Toolkit of the LISTEN project (https://listen-europe.eu/trainers-toolkit/).</p> <p>*Full credits*</p> <p>Concept art: Réka Kassay, Sapientia University</p> <p>Animation: Judith Vicsi, Bence Orosz, Zoom Animation Studio</p> <p>Graphics: Éva Páncél, Zoom Animation Studio</p> <p>Narration text: Erika Keszeg, Bálványos Institute and Tibor Toró, Sapientia University</p> <p>Translation: Pádraig Ó Tiarnaigh, Conradh na Gaeilge</p> <p>Voice: Cuisle Nic Liam, Conradh na Gaeilge</p>
Automatic 3D CAD models reconstruction from 2D orthographic drawings
<p>This dataset is built to reconstruct 3D CAD models from 2D drawings and is based on the public dataset <a href="https://github.com/AutodeskAILab/Fusion360GalleryDataset">Fusion 360 gallery</a>. The dataset includes two parts that are the original data and the reconstructed data (in folders '/original_data" and '/reconstructed'). The part of the original data contains the '.svg' files of 2D drawings and the '.step' files of CAD models. Our reconstruction results are shown in the second part (folder '/reconstructed'), which includes the reconstructed 3D wireframes, 3D shapes with faces (storage in FreeCAD files '.FCStd'), and the images of reconstructed models (screenshot). We also test some cases from the <a href="https://deep-geometry.github.io/abc-dataset/">ABC dataset</a>, shown in the 2_ABC folder.</p> <p>Please cite our paper if you use the dataset.</p> <pre>@article{zhang2023automatic, title={Automatic 3D CAD models reconstruction from 2D orthographic drawings}, author={Zhang, Chao and Pinqui{\'e}, Romain and Polette, Arnaud and Carasi, Gregorio and De Charnace, Henri and Pernot, Jean-Philippe}, journal={Computers \& Graphics}, year={2023}, publisher={Elsevier} }</pre>
3D CAD models of artificial reefs designed by E.Riera from "Unleashing the Potential of Artificial Reefs Design" (STL files)
<p>Here you will find 3D CAD models in STL format.</p> <p>These are 3D CAD models of artificial reefs designed by E.Riera.</p> <p>These STL files (with others not available on open access) have been used to run a script on Python to extract parameters and elements from 3D CAD models to compute complexity indexes from the paper "Unleashing the Potential of Artificial Reefs Design" (<a href="https://doi.org/10.32942/X2G300">https://doi.org/10.32942/X2G300</a>)</p>
Points cloud of 3D CAD models of artificial reefs designed by E.Riera from "Unleashing the Potential of Artificial Reefs Design" (txt files)
<p>Here you will find points cloud of 3D CAD models in txt format.</p> <p>These are 3D CAD models of artificial reefs designed by E.Riera from the paper "Unleashing the Potential of Artificial Reefs Design" (<a href="https://doi.org/10.32942/X2G300">https://doi.org/10.32942/X2G300</a>).</p> <p>These txt files (with others not available on open access) have been used to run a script on R "Computation of fractal dimension" to compute the fractal dimension from the point clouds using the Minkowski-Bouligand method (or "box-counting") using the R statistical framework (version 4.0.3) and “est.boxcount” function of the package “Rdimtools” (You and Shung, 2022). </p>
Parameters & Complexity Indexes of 3D CAD models from "Unleashing the Potential of Artificial Reefs Design: A Purpose-Driven Evaluation of Structural Complexity"
<p>You'll find here data frames related to the paper <strong>"Unleashing the Potential of Artificial Reefs Design: A Purpose-Driven Evaluation of Structural Complexity"</strong>:</p> <ul> <li>df_parameters: displays parameters from 3D CAD models of the study</li> <li>df_complexity_Indexes: displays the complexity indexes computed with the parameters of the 3D CAD models</li> </ul>
CAD-based Assembly Sequence Planning for Increased Operational Flexibility Dataset
<p>Operational flexibility represents the ability to adapt to changes in production or assembly<br> processes. It is a crucial aspect of assembly sequence planning for a dynamic environment (such as<br> large-scale assembly systems). The choice of graph model, such as precedence graph or AND/OR<br> graph, can significantly impact operational flexibility. The state-of-the-art research has demonstrated<br> the utility of precedence graphs and AND/OR graphs for flexible assembly lines.<br> However, AND/OR graphs offer the potential for even greater operational flexibility but with a higher<br> computational cost. Further research is still needed on the detailed effects of precedence graphs and<br> AND/OR graphs on operational flexibility and the limits for their application to large-scale assemblies.<br> The trade-offs between different models and their impact on operational flexibility and computational<br> costs is observed.</p> <p><br> <strong>1st underlying research question: </strong>Which graph model, derived from CAD-based assembly-by-<br> disassembly, can increase the operational flexibility in integrated assembly sequence planning and job<br> scheduling problems?</p> <p><br> A hypothesis is formulated to answer this research question, which will be used to design an experiment<br> and be tested.</p> <p><br> <strong>Hypothesis 1: </strong>The AND/OR graph can be utilized to improve the operational flexibility in comparison<br> to the precedence graph.</p>
Shear bond strength of three universal adhesives to three CAD-CAM resin-based composites with and without a silane coupling agent
<p>i) The dataset acquired and analyzed in a laboratory study assessing the effect of three universal adhesives and a two-component silane coupling agent on the shear bond strength to three CAD-CAM resin-based composites with dispersed fillers (CCRBCs). </p> <p>ii) Data on the randomized allocation of specimens using computer-generated sequences created with free online software. </p>
PCP Use of a Gene Expression Test (Corus CAD or ASGES) in Coronary Artery Disease Diagnosis
ClinicalTrials.gov study NCT01594411. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Role of On-site CT-derived FFR in the Management of Suspect CAD Patients
ClinicalTrials.gov study NCT03901326. IPD Sharing: NO. Countries: 1. Publications: 12.
Abdominal Aortic Calcium and CAD-RADS 2.0
ClinicalTrials.gov study NCT06956924. IPD Sharing: UNDECIDED. Countries: 1. Publications: 31.
A Phase 3 Multi-center Study to Assess PET Imaging of Flurpiridaz F 18 Injection in Patients With CAD.
ClinicalTrials.gov study NCT01347710. IPD Sharing: Not stated. Countries: 4. Publications: 4.
Disrupt CAD IV With the Shockwave Coronary IVL System
ClinicalTrials.gov study NCT04151628. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Differences in N-CAD Concentration and Brain Function Between Children With ASD and TD
ClinicalTrials.gov study NCT07400484. IPD Sharing: NO. Countries: 1. Publications: 5.
Shockwave Coronary Lithoplasty® Study (Disrupt CAD II)
ClinicalTrials.gov study NCT03328949. IPD Sharing: NO. Countries: 9. Publications: 2.
Effect of RVX000222 on Time to Major Adverse Cardiovascular Events in High-Risk T2DM Subjects With CAD
ClinicalTrials.gov study NCT02586155. IPD Sharing: NO. Countries: 15. Publications: 5.
An International Study to Evaluate Diagnostic Efficacy of Flurpiridaz (18F) Injection PET MPI in the Detection of Coronary Artery Disease (CAD)
ClinicalTrials.gov study NCT03354273. IPD Sharing: Not stated. Countries: 7. Publications: 2.
SMBG Protocols Predicting Glucose Levels in Senior Diabetes Mellitus With CAD
ClinicalTrials.gov study NCT01954771. IPD Sharing: NO. Countries: 1. Publications: 8.
Disrupt CAD III With the Shockwave Coronary IVL System
ClinicalTrials.gov study NCT03595176. IPD Sharing: Not stated. Countries: 4. Publications: 3.
AZD5718 Phase IIa Study to Evaluate Efficacy, Safety and Tolerability of Oral AZD5718 in Patients With Coronary Artery Disease (CAD).
ClinicalTrials.gov study NCT03317002. IPD Sharing: YES. Countries: 3. Publications: 1.
Observational Registry Study: FIREHAWK DES for Treating Coronary Artery Disease (CAD)
ClinicalTrials.gov study NCT01412164. IPD Sharing: Not stated. Countries: 1. Publications: 1.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.