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182 results for “AAA”
AAA-100: A Curated Dataset of 3D Watertight Abdominal Aortic Aneurysm Models
<p>An abdominal aortic aneurysm (AAA) is a local dilatation of the abdominal aorta exceeding 30 mm that might rupture, with fatal outcomes in 70-80% of cases. Personalized 3D models of AAAs, including surrounding vasculature such as iliac and renal arteries play an important role in tailored clinical decision-making for AAA patients. Models could be used for, e.g., AAA growth modeling, stentgraft sizing and positioning for endovascular aorta repair (EVAR) procedures, or 3D printing for surgical practice. Extracting high-quality 3D arterial models from imaging modalities such as computed tomography angiography (CTA) is a time-consuming and challenging problem. For downstream applications such as computational fluid dynamics (CFD) or shape analysis, models should have sub-voxel accuracy, be watertight, and adhere to topological constraints. We present the AAA-100 dataset, containing 100 detailed 3D AAA models with consistent anatomical boundaries acquired semi-automatically from pre-operative CTA scans. These models span a wide range of possible AAA pathology. Moreover, all models are carefully curated to be anatomically and topologically correct. </p> <p>A detailed description of the data set and file structure is provided in description.pdf.</p> <p>We kindly ask you to cite the following works when using the AAA-100 dataset in your research</p> <blockquote> <p>Alblas, D., Suk, J., Brune, C., Yeung, K. K., & Wolterink, J. M. (2025). SIRE: Scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks. <em>Medical Image Analysis</em>, 103467.</p> <p>Rygiel, P., Alblas, D., Brune, C., Yeung, K. K., & Wolterink, J. M. (2024). Global Control for Local SO (3)-Equivariant Scale-Invariant Vessel Segmentation. <em>arXiv preprint arXiv:2403.15314</em>.</p> </blockquote>
Source code and simulation results: Efficient rational approximation of optical response functions with the AAA algorithm
<p>This publication provides data published in the article "Efficient rational approximation of optical response functions with the AAA algorithm" [1] in tabulated form along with the Matlab scripts that have been used to produce them. These scripts interface the finite element method solver JCMsuite [2,3]. The article presents rational approximations of optical response functions based on an extended version of the AAA algorithm [4] that allows to efficiently reconstruct sensitivty spectra and gives access to sensitivities of poles, residues, and zeros. Furthermore, the rational approximation of a scalar observalbe is used to construct solutions of the source free Maxwell's equation, i.e., a nonlinear eigenvalue problem. </p> <p><strong>The physical Structure</strong></p> <p>The example is based on the chiral metasurface introduced in [5]. For the sake of simplicity we added infinite layers of SiO\(_2\) to the top and the bottom of the structure. The original structure has a SiO\(_2\) substrate and a layer of PMMA polymethyl methacrylate (PMMA) deposited on top. PMMA can be modelled with the same refractive index of 1.45 as SiO\(_2\). Furthermore, our simulations include the 13 nm indium tin oxide (ITO) coating which drastically reduces the Q-factor as it is slightly absorbing. The accuracy of the discrete model is verified by assessing reflection, transmission, and absorption at 241 evenly spaced points within the specified range. Energy conservation requires that the discrepancy between their sum and the energy entering the system is zero. The numerical discretization is chosen such that the maximum relative error is less than \(3\times10^{−5}\).</p> <p><strong>Dispersion</strong></p> <p>Tabulated data for ITO has been taken from the <a href="https://refractiveindex.info/?shelf=other&book=In2O3-SnO2&page=Konig">refractiveindex.info</a> database (T. A. F. König et al., 2014, https://doi.org/10.1021/nn501601e) and the data for TiO2 was kindly provided the authors of [5]. The permittivity \(\varepsilon = (n+ik)^2\) is locally approximated as a rational function, i.e., only data in a vicinity of the frequency range of interest is considered. As we aim for a function with the symmetry \(f^\ast(\omega) = f(-\omega^\ast)\) we add the complex conjugated data at negative frequencies and enforce the symmetry in a second step. The partial fraction decomposition of the required function is of the form: \(\varepsilon(\omega) = \varepsilon_\infty + \sum_{j=1}^{4}a_j/(\omega-\omega_j) - a_j^\ast/(\omega+\omega_j^\ast)\) with the residues \(a_j\) and the poles \(\omega_j\). We expect 4 pairs of poles to sufficiently approximate the data within the range of interest (4 with positive and 4 with negative real parts).</p> <h4><strong>Requirements</strong></h4> <ul> <li>JCMsuite (at least 6.2.0)</li> <li>MATLAB (tested with version R2023b)</li> </ul> <p>In order to run the simulations with JCMsuite you must replace corresponding place holders with a path to your installation of JCMsuite. Free trial licenses are available, please refer to the homepage of <a href="https://jcmwave.com/">JCMwave</a>.</p> <p><strong>Usage</strong></p> <p>With the content of 'spectra.zip' you can reproduce results presented in the paper. Running the script 'plots.m' will not start any expensive simulation but use the provided data. With 'dispersion.m' the fits to the material data can be reproduced. Additionally, tabulated data is contained in 'data/ascii'. The archive 'eigenmodes.zip' must be extracted in the same directory as 'spectra.zip'.</p> <p><strong>References</strong></p> <p>[1] Fridtjof Betz, Martin Hammerschmidt, Lin Zschiedrich, Sven Burger, Felix Binkowski: Efficient rational approximation of optical response functions<br>with the AAA algorithm, https://doi.org/10.48550/arXiv.2403.19404.</p> <p>[2] Jan Pomplun, Sven Burger, Lin Zschiedrich, Frank Schmidt, Adaptive finite element method for simulation of optical nano structures, Physica Status Solidi B <strong>244</strong>, 3419 (2007), http://dx.doi.org/10.1002/pssb.200743192.</p> <p>[3] Fridtjof Betz, Felix Binkowski, Sven Burger, RPExpand: Software for Riesz projection expansion of resonance phenomena, SoftwareX <strong>15</strong>, 100763 (2021), https://doi.org/10.1016/j.softx.2021.100763.</p> <p>[4] Y. Nakatsukasa, O. Sète, and L. N. Trefethen, The AAA Algorithm for Rational Approximation, SIAM Journal on Scientific Computing <strong>40</strong>, A1494 (2018), http://dx.doi.org/10.1137/16M1106122.</p> <p>[5] X. Zhang, Y. Liu, J. Han, Y. Kivshar, and Q. Song, Chiral emission from resonant metasurfaces, Science <strong>377</strong>, 1215 (2022), http://dx.doi.org/%2010.1126/science.abq7870.</p>
Dataset: BlackRock AAA CLO ETF (CLOA) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Search strategies for screening for abdominal aortic aneurysm (AAA) in men: a health technology assessment
<p>The dataset includes the complete, reproducible search strategies for all literature databases searched during this project. The search strategies address the following research question: </p><p>What is the clinical effectiveness and safety of population-based ultrasound screening for AAA in men compared with no systematic screening?</p>
AAA+ ATPase Thorase Inhibits mTOR Signaling Through the Disassembly of the mTOR Complex 1
<p>The mechanistic target of rapamycin (mTOR) signals through the mTOR complex 1 (mTORC1) and the mTOR complex 2 to maintain cellular and organismal homeostasis. Failure to finely tune mTOR activity results in metabolic dysregulation and disease. While there is substantial understanding of the molecular events leading mTORC1 activation at the lysosome, remarkably little is known about what terminates mTORC1 signaling. Here, we show that the AAA+ ATPase Thorase directly binds mTOR, thereby orchestrating the disassembly and inactivation of mTORC1. Thorase disrupts the association of mTOR to Raptor at the mitochondria-lysosome interface and this action is sensitive to amino acids. Lack of Thorase causes accumulation of mTOR-Raptor complexes and altered mTORC1 disassembly/re-assembly dynamics upon changes in amino acid availability. The resulting excessive mTORC1 can be counteracted with rapamycin <em>in vitro</em> and <em>in vivo</em>. Collectively, we reveal Thorase as a key component of the mTOR pathway that disassembles and thus inhibits mTORC1.</p>
Standard Open Surgery Versus Endovascular Repair of Abdominal Aortic Aneurysm (AAA)
ClinicalTrials.gov study NCT00094575. IPD Sharing: Not stated. Countries: 1. Publications: 15.
European (EU) Post Approval Study of the INCRAFT® AAA Stent Graft System in Subjects With Abdominal Aortic Aneurysms
ClinicalTrials.gov study NCT02477111. IPD Sharing: UNDECIDED. Countries: 8. Publications: 2.
Intraocular Pressure During Abdominal Aortic Aneurysm (AAA) Repair
ClinicalTrials.gov study NCT00450294. IPD Sharing: Not stated. Countries: 1. Publications: 15.
A Multicenter, Open Label, Prospective, Non-Randomized Study Of INCRAFT™ In Subjects With AAA (INNOVATION)
ClinicalTrials.gov study NCT01106391. IPD Sharing: NO. Countries: 1. Publications: 5.
Detecting Abdominal Aortic Aneurysms in First Degree Relatives (Adult Offsprings) to AAA Patients (DAAAD)
ClinicalTrials.gov study NCT04623268. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
Assessment of the GORE® EXCLUDER® Conformable AAA Endoprosthesis in the Treatment of Abdominal Aortic Aneurysms
ClinicalTrials.gov study NCT02489539. IPD Sharing: NO. Countries: 1. Publications: 0.
Early Feasibility Study of Adaptive Advisory/Automated (AAA) Control of Type 1 Diabetes
ClinicalTrials.gov study NCT01939834. IPD Sharing: Not stated. Countries: 1. Publications: 1.
AAA+ ATPase Thorase Inhibits mTOR Signaling Through the Disassembly of the mTOR Complex 1
Open the record for dataset details and reuse information.
aaa
<p>aaa</p>
Supplementary material 1 from: Moraes LJCL, Almeida AP, Fraga R, Rojas RR, Pirani RM, Silva AAA, de Carvalho VT, Gordo M, Werneck FP (2017) Integrative overview of the herpetofauna from Serra da Mocidade, a granitic mountain range in Northern Brazil . ZooKeys 715: 103-159. https://doi.org/10.3897/zookeys.715.20288
Supplementary material 1 from: Moraes LJCL, Almeida AP, Fraga R, Rojas RR, Pirani RM, Silva AAA, de Carvalho VT, Gordo M, Werneck FP (2017) Integrative overview of the herpetofauna from Serra da Mocidade, a granitic mountain range in Northern Brazil . ZooKeys 715: 103-159. https://doi.org/10.3897/zookeys.715.20288
Fragment screening using biolayer interferometry reveals ligands targeting the SHP-motif binding site of the AAA+ ATPase p97
<p>Biosensor techniques have become increasingly important for fragment-based drug discovery during the last years. The AAA+ ATPase p97 is an essential protein with key roles in protein homeostasis and a possible target for cancer chemotherapy. Currently available p97 inhibitors address its ATPase activity and globally impair p97-mediated processes. In contrast, inhibition of cofactor binding to the N-domain by a protein-protein-interaction inhibitor would enable the selective targeting of specific p97 functions. Here, we describe a biolayer interferometry-based fragment screen targeting the N-domain of p97 and demonstrate that a region known as SHP-motif binding site can be targeted with small molecules. Guided by molecular dynamics simulations, the binding sites of selected screening hits were postulated and experimentally validated using protein- and ligand-based NMR techniques, as well as X-ray crystallography, ultimately resulting in the first structure of a small molecule in complex with the N-domain of p97. The identified fragments provide insights into how this region could be targeted and present first chemical starting points for the development of a protein-protein interaction inhibitor preventing the binding of selected cofactors to p97.</p> <p><br> Here we publish the primary data of the biolayer-interferometry (BLI), STD-NMR, HSQC-NMR and mixed-solvent MD simulation results.<br> For BLI, the sensorgrams of 10 binding fragments identified in the screening are given. Measurements were conducted with the N-domain and the ND1-construct of p97. Additionaly, the measurements with ADP as positive control (n=6) are provided.<br> Four of the 10 fragments were selected as most promising hits for further investigation: TROLL2, TROLL7, TROLL8 and TROLL12. For these fragemnts, the STD-NMR build-up data, the HSQC-NMR spectra and the representative poses from the mixed solvent MD simulations used for CORCEMA predictions are provided. For TROLL2 the anomalous map of the bromine atom of the crystal structure (PDB entry: 7PUX) is given.</p>
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Prevention of Colon Ischemia During Aortic Aneurysm (AAA) Repair
ClinicalTrials.gov study NCT00671203. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Endovascular Repair With Fenestrated TREO Stent-Graft System in AAA
ClinicalTrials.gov study NCT07026877. IPD Sharing: NO. Countries: 1. Publications: 18.
UPDRS-III Comparisons of DBS for PD Between Patients Receiving MAC and AAA Anesthesia
ClinicalTrials.gov study NCT04361188. IPD Sharing: NO. Countries: 1. Publications: 11.
ScienceDex guides
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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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.