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3,295 results for “Fracture”
Study of Efficacy and Safety of Bimagrumab in Patients After Hip Fracture Surgery
ClinicalTrials.gov study NCT02152761. IPD Sharing: UNDECIDED. Countries: 19. Publications: 1.
Data for: Wall fracturing versus mechanical instability as competing intrusion mechanisms of dikes: Insights from laboratory experiments
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Modulation of fracture healing by the transient accumulation of senescent cells
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Supplement data for Numerical investigation into fracture risk of bone following adaptation
<p>This dataset contains meshes, CT scans and scripts used to produce results in the paper titled: Numerical investigation into fracture risk of bone following adaptation.<br> </p>
Large scale simulation of pressure induced phase-field fracture propagation using Utopia
<p>Utopia is an open-source C++ library for parallel non-linear multilevel solution strategies. Utopia provides the advantages of high-level programming interfaces while at same time a framework to access low level data-structures without breaking code encapsulation. Complex numerical procedures can be expressed with few lines of code, and evaluated by different implementations, libraries, or computing hardware. In this paper we investigate the parallel performance of our implementation of the recursive multilevel trust-region (RMTR) method based on the Utopia library. RMTR is a globally convergent multilevel solution strategy designed to solve non-convex constrained minimization problems. In particular, we solve pressure induced phase-field fracture propagation in large and complex fracture networks. Solving such problems is deemed challenging even for a few fractures, however, here we are considering realistic and idealized networks with up to 1000 fractures.</p>
Data Accompanying "Fracturing process of concrete under uniaxial and triaxial compression: insights from in-situ x-ray mechanical tests"
<p>These are the datasets analysed in "Fracturing process of concrete under uniaxial and triaxial compression: insights from <em>in-situ</em> x-ray mechanical tests" by Stamati <em>et. al.</em> (submitted on June 2020 in Cement and Concrete Research)</p> <p>The datasets contain the reconstructed x-ray 3D images of selected tests and the corresponding DVC analysis.</p> <p>Note that details regarding the DVC analysis can be found in the paper.</p> <ul> <li>Each folder contains a separate test; uniaxial compression ("<em>C-02"</em>) and triaxial compression at 5MPa ("<em>TX5-01"</em>), 10MPa ("T<em>X10-01</em>") and 15MPa ("<em>TX15-01</em>") confining pressures.</li> <li>For each test, folder 01 contains the first scan, where 01 is the reference state for the DVC analyis. Folder 01 also contains the image of the labelled largest aggregates used for the discrete DVC. Folrders 02-XX contain the scans at intermediate loading steps and the corresponding DVC analysis; "<em>reg</em>" contains the registration result in downscaled 2-binning images. "<em>ddic</em>" contains the discrete DVC computation. "<em>ldic</em>" contains the local DVC computation, before and after the merge and filtering of the grid and discrete DVC fields. "<em>strains</em>" contains the strain fields coming from the corrected merged DVC field.</li> <li>Folder "<em>stressStrain</em>" contains the stress-strain curves measured during the tests after subtracting the displacement corresponding to the loading system.</li> <li>Folder "<em>doubleScanUniaxial</em>" contains the two reconstructed images of the "repeated scan" of the uniaxial tests, from which the DVC measurement uncertainties were evaluated.</li> </ul>
Supplementary data for "Molecular dynamics study of confined water in the periclase-brucite system under conditions of reaction-induced fracturing"
<p>In this dataset you can find sample data from periclase and brucite simulations and python scripts that can be used to confirm the plots in the paper.</p> <ul> <li>"bruciteSimualtions" and "periclaseSimualtions" contains the simulations where the mineral in contact with water is either brucite or periclase. Within each of these two folders, there are two subfolders, "waterProperties" and "waterThickness". <ul> <li>The data in "waterProperties" is used to calculate water properties. Each folder inside "simulations" represent one simulation.</li> <li>The data in "waterThickness" is used to calculate the change in water film thickness with time under different conditions. The simulations are run for either 3 ns or 10 ns. Each folder inside "simulations_Xns" represent one simulation.</li> </ul> </li> <li>For each folder containing one simulations, we provide: <ul> <li>NAME.run: The input script</li> <li>NAME.data: The input data</li> <li>job.sh: Script to run the simulation</li> <li>log.lammps: Thermodynamic output from the simulation</li> <li>Note that the pressures given in the folder names and in the simulations are in atm, not MPa.</li> </ul> </li> </ul> <p> </p> <ul> <li>"bruciteSimulations" and "periclaseSimualtions" are in zip containers. In order to use them, please unzip them and leave the resulting folders in the same directory as this README file. </li> </ul> <p> </p> <ul> <li>The python scripts shows how to extract the relevant data from the lammps log files, which enables reproduction of the figures in the paper. See instructions below to use the scripts.</li> </ul> <p><br> Installation instructions to make the python plot scripts working, assuming you already have numpy and matplotlib:</p> <p>> pip3 install git+https://github.com/henriasv/regex-file-collector.git</p> <p>> pip3 install git+https://github.com/henriasv/lammps-logfile.git<br> </p> <p>If this does not work, please contact Marthe Grønlie Guren, m.g.guren@geo.uio.no</p>
RibFrac Dataset: A Benchmark for Rib Fracture Detection, Segmentation and Classification (Test Set)
<p>RibFrac dataset is a benchmark for developping algorithms on rib fracture detection, segmentation and classification. We hope this large-scale dataset could facilitate both clinical research for automatic rib fracture detection and diagnoses, and engineering research for 3D detection, segmentation and classification.</p> <p>This is the Test Set of RibFrac dataset, including 160 CTs and the corresponding annotations. Files include:</p> <ol> <li>ribfrac-test-images.zip: 160 chest-abdomen CTs in NII format (nii.gz) </li> </ol> <p>Note that only the images are released; the corresponding ground truth labels are not available. Check the <a href="https://ribfrac.grand-challenge.org/">MICCAI 2020 RibFrac Challenge website</a> to evaluate your algorithm.</p> <p> </p> <p>If you find this work useful in your research, please acknowledge the RibFrac project teams in the paper and cite this project as:</p> <p><em>Liang Jin, Jiancheng Yang, Kaiming Kuang, Bingbing Ni, Yiyi Gao, Yingli Sun, Pan Gao, Weiling Ma, Mingyu Tan, Hui Kang, Jiajun Chen, Ming Li. Deep-</em><em>Learning-Assisted Detection and Segmentation of Rib Fractures from CT Scans: Development and Validation of FracNet. EBioMedicine (2020). (<a href="https://doi.org/10.1016/j.ebiom.2020.103106">DOI</a>)</em></p> <p>or using bibtex</p> <p><em>@article{ribfrac2020,<br> title={Deep-Learning-Assisted Detection and Segmentation of Rib Fractures from CT Scans: Development and Validation of FracNet},<br> author={Jin, Liang and Yang, Jiancheng and Kuang, Kaiming and Ni, Bingbing and Gao, Yiyi and Sun, Yingli and Gao, Pan and Ma, Weiling and Tan, Mingyu and Kang, Hui and Chen, Jiajun and Li, Ming},<br> journal={EBioMedicine},<br> year={2020},<br> publisher={Elsevier}<br> }</em></p> <p> </p> <p>The RibFrac dataset is a research effort of thousands of hours by experienced radiologists, computer scientists and engineers. We kindly ask you to respect our effort by appropriate citation and keeping data license.</p> <p> </p> <p>This work is licensed under a <a href="http://creativecommons.org/licenses/by-nc/4.0/">Creative Commons Attribution-NonCommercial 4.0 International License</a>.</p>
Novel developments in clamped geometries for fracture toughness testing
<p>Stable fracture toughness test geometries are useful in not only determining the monotonic fracture toughness, but also in capturing the R-curve behaviour and damage tolerance of materials under cyclic loading and extreme environments. The doubly clamped boundary condition offers such crack stability even in the most brittle materials. This talk will cover all aspects of clamped beams and wires in tension and bending as fracture toughness test geometries including their geometric factor solutions for linear elastic and elastic-plastic cases. Finite element simulations are used to explain the mechanics of crack stability for various beam and wire aspect ratios and crack configurations. Their varied applications in bulk materials, architectured systems, thin film multilayers and graded coatings will be shown.</p> <p><strong>Related publications</strong></p> <ol> <li>A. K. Mishra, A. Lambai and V. Jayaram, B. Nagamani Jaya, “The edge-notched clamped beam bend specimen as a fracture toughness test geometry”, Theoretical and Applied Fracture Mechanics, 105, 2020, 102409 (DOI: 10.1016/j.tafmec.2019.102409)</li> <li>B. Nagamani Jaya, Sanjit Bhowmick, S. A. Syed Asif, Oden L. Warren and Vikram Jayaram, “Optimization of clamped beam geometry for fracture toughness testing of micron-scale samples” Phil Mag Special Issue on Nanomech IV, Vol 95, 2015, 1945-1966 (DOI: 10.1080/14786435.2015.1010623)</li> <li>B. Nagamani Jaya and Vikram Jayaram, “Crack stability in edge notched clamped beam specimen under bending: modeling and experiments”, International Journal of Fracture, Vol 188, Issue 2, 2014, 213-228 (DOI: 10.1007/s10704-014-9956-2)</li> <li>B. Nagamani Jaya, Vikram Jayaram and Sanjay K. Biswas, “A new method for fracture toughness determination of graded (Pt,Ni)Al bond coats by microbeam bend tests”, Philosophical Magazine Special Issue on Nanomechanical Testing in Materials Research and Development III, Vol 92, Issue 25-27, 2012, 3326-3345. (DOI: 10.1080/14786435.2012.669068)</li> </ol>
The Characteristics and Its Implications of Hydraulic Fracturing in Hydrate-Bearing Clayey Silt
<p>Datasets of the figures in the manuscript 'The Characteristics and Its Implications of Hydraulic Fracturing in Hydrate-Bearing Clayey Silt' to Journal of Natural Gas Science and Engineering.</p>
Data from: Tooth fracture frequency in gray wolves reflects prey availability
Exceptionally high rates of tooth fracture in large Pleistocene carnivorans imply intensified interspecific competition, given that tooth fracture rises with increased bone consumption, a behavior that likely occurs when prey are difficult to acquire. To assess the link between prey availability and dental attrition, we documented dental fracture rates over decades among three well-studied populations of extant gray wolves that differed in prey:predator ratio and levels of carcass utilization. When prey:predator ratios declined, kills were more fully consumed, and rates of tooth fracture more than doubled. This supports tooth fracture frequency as a relative measure of the difficulty of acquiring prey, and reveals a rapid response to diminished food levels in large carnivores despite risks of infection and reduced fitness due to dental injuries. More broadly, large carnivore tooth fracture frequency likely reflects energetic stress, an aspect of predator success that is challenging to quantify in wild populations.
A Multi-Scale Correlative Investigation of Ductile Fracture: supporting data
<p>These files are the raw X-ray CT datasets captured using a Custom Bay instrument as detailed in the article: A Multi-Scale Correlative Investigation of Ductile Fracture (under review as of January 2017). </p>
Correlation between rock brittleness and fracturing
<p>Birttleness and fracturing behavior are two fundamental properties of rock. Here the brittleness of three marbles were determined by the data of various tests. The fracturing behavior of three marble were analysed in microscale under the mode I fracturing test. </p>
Male-female disparity in clinical features and significance of mild vertebral fractures in community-dwelling residents aged 50 and over: A Japanese cohort survey randomly sampled from a basic resident registry
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Fracture Dielectric Elastomers
<p>This dataset contains the experimental raw data from the mechanical and electro-mechanical testing of soft dielectric elastomers: unfilled PDMS and BaTiO3-filled PDMS. The data have not been filtered. </p> <p>Every specimen is tested under tensile loading until full rupture. <br>All specimens had a thickness of 3mm. The initial length between grips was set to 40mm. </p> <p>The files are named according to:<br>- the type of sample (Unfilled_PDMS/BaTiO3_Filled),<br>- the width of the sample (w30mm/w50mm),<br>- the length of the pre-cut (c0mm/c3mm/c5mm/c6mm/c9mm/c10mm/c12mm/c15mm/c20mm/c25mm),<br>- the voltage applied in the thickness direction during tensile deformation (0kV/4kV/8kV),<br>- and the number of the experiment up to the total number of repetitions under the same test conditions (R1/R2/R3 for filled samples and R1/R2 for unfilled samples).</p> <p>If this dataset is used for research or industrial purposes, please cite:<br>M.A. Moreno-Mateos, M. Mehnert, P. Steinmann. "Electro-mechanical actuation modulates fracture performance of soft dielectric elastomers", International Journal of Engineering Science, vol.195, 104008. (2024). https://doi.org/10.1016/j.ijengsci.2023.104008<br>Further explanation regarding the specimen preparation and experimental setup can be found in the aforementioned work.</p>
Data from: Brittle sedimentary strata focus a multimodal depth distribution of seismicity during hydraulic fracturing in the Sichuan basin, southwest China
<p>The number of background earthquakes (<em>M<sub>L</sub></em> ≥ 0) in the southern Sichuan basin, southwest China, has increased thirtyfold as a result of hydraulic fracturing. Background events are originally deep (4-6 <em>km</em>) within the sedimentary section but build into a multimodal distribution both at depth and in the shallow stimulated reservoir (2-4 <em>km</em>) - representing a counterpoint to the usual triggering of seismicity on deep sub-reservoir basement faults. Surprisingly, the largest events (<em>M<sub>L</sub></em> ≥ 3) evolve in the deep sedimentary strata (4-6 <em>km</em>) that are hydraulically isolated from the injection zone (2-4 <em>km</em>) by low permeability layers. We evaluate the friction-stability rheology of the strata within the full stratigraphic section to define the feasibility of nucleation within these shallow and deep strata. These show velocity-neutral to velocity-weakening behavior in the shallow reservoir transitioning to more strongly velocity-weakening with increase in both depth and temperature. Poroelastic stress calculations confirms that stress transfer, rather than transmitted fluid pressures, are capable of directly reactivating critically-stressed faults at depth, with fluid pressures the triggering source within the shallow reservoir.</p>
Data from: Evaluation of the horizontal approach to the medial malleolar facet in sagittal talar fractures through dorsiflexion and plantarflexion positions
<p><strong>Background</strong></p> <p>Talar fractures often require osteotomy during surgery to achieve reduction and screw fixation of the fractured fragments due to limited visualization and operating space of the talar articular surface. The objective of this study was to evaluate the horizontal approach to the medial malleolus facet by maximizing exposure through dorsiflexion and plantarflexion positions.</p> <p><strong>Methods</strong><strong> </strong></p> <p>In the positions of foot dorsiflexion, plantarflexion, and functional, we respectively obtained the anterior and posterior edge lines of the projection of the medial malleolus on the medial malleolar facet. The talar model from Mimics was imported into Geomagic software for image refinement. Then Solidworks software was used to segment the medial surface of the talus and extend the edge lines from the three positions to project them onto the "semicircular" base for 2D projection. The exposed area in different positions, the percentage of total area it represents, and the anatomic location of the insertion point at the groove between the anteroposternal protrusions of the medial malleolus were calculated.</p> <p><strong>Results</strong><strong> </strong></p> <p>The mean total area of the "semicircular" region on the medial malleolus surface of the talus was 542.10 ± 80.05 mm<sup>2</sup>. In the functional position, the exposed mean area of the medial malleolar facet around the medial malleolus both anteriorly and posteriorly was 141.22 ± 24.34 mm<sup>2</sup>, 167.58 ± 22.36mm<sup>2</sup>, respectively. In dorsiflexion, the mean area of the posterior aspect of the medial malleolar facet was 366.28 ± 48.12 mm<sup>2</sup>.<sup> </sup>In plantarflexion, the mean of the anterior aspect of the medial malleolar facet was 222.70 ± 35.32 mm<sup>2</sup>.<sup> </sup>The mean overlap area of unexposed area in both dorsiflexion and plantarflexion was 23.32 ± 5.94 mm<sup>2</sup>.<sup> </sup>The mean percentage of the increased exposure area in dorsiflexion (36.71 ± 3.25 %) and plantarflexion were 36.71 ± 3.25 % and 15.13 ± 2.83 %. The mean distance from the insertion point to the top of the talar dome was 10.69 ± 1.24 mm, to the medial malleolus facet border of the talar trochlea was 5.61 ± 0.96 mm, and to the tuberosity of the posterior tibiotalar portion of the deltoid ligament complex was 4.53 ± 0.64 mm.</p> <p><strong>Conclusions</strong><strong> </strong></p> <p>Within the 3D model, we measured the exposed area of the medial malleolus facet in different positions and the anatomic location of the insertion point at the medial malleolus groove. When the foot is in plantarflexion or dorsiflexion, a sufficiently large area and operating space can be exposed during surgery. The data regarding the exposed visualization area and virtual screws need to be combined with clinical experience for safer reduction and fixation of fracture fragments. Further validation of its intraoperative feasibility will require additional clinical research.</p>
Water weakening and the compressive brittle strength of carbonates: influence of fracture toughness and static friction
<p>This is the ReadMe file corresponding to the study entitled:<br>"Water weakening and the compressive brittle strength of carbonates: influence of fracture toughness and static friction"<br>By Noël C., Fryer B., Baud P. and Violay M.</p> <p>This Read-Me file has been last edited in January 2024</p> <p>This readme file describes the data repository files accompanying the above publication published in IJRMMS. <br>For any further queries please contact corentin.noel@geoazur.unice.fr</p> <p>For each type of experiments (uniaxial compression, fracture toughness and friction), a zip file contains the the file of the experiments. Each file name contain the information of the sample tested and the experimental condition (dry or saturated):<br>- The first leter(s) stands for the limestone tested: In=Indiana, L=Leitha, S=Solnhofen, St=Saint Maximin, T=Tavel.<br>- The number following is for sample referencing.<br>- The next letter is for the experiment performed: U=Uniaxial compression, K=Fracture toughness, F=Friction<br>- After a "_", the experimental conditions are described: dry=dray experiments, sat=water saturated experiments</p> <p><br>*** Uniaxial compression ***<br>Each .txt file contains:<br>- Column 1: Axial stress (MPa)<br>- Column 2: Axial strain (-)<br>- Column 3: Radial strain (-)<br>- Column 4: Volumetric strain (-)</p> <p>Additionally, each experiments also have an accoustic file (.txt ending with _AE) containing:<br>- Column 1: Axial strain (-)<br>- Column 2: Cumulative AE number</p> <p>*** Fracture toughness ***<br>Each .txt file contains:<br>- Column 1: Axial displacement (mm)<br>- Column 2: Mode I stress intensity factor KI (MPa.m(1/2))<br>- Column 3: Crack mouth openning (mm)</p> <p>*** Friction ***<br>Each .txt file contains:<br>- Column 1: Time (s)<br>- Column 2: Shear stress (MPa)<br>- Column 3: Normal stress (MPa)<br>- Column 4: Shear displacement (mm)</p> <p>Additionally, for each experiment and both under dry and water saturated conditions a .xlsx file contains the picked static shear stress at the onset of sliding for each tested normal stress as follow:<br>- Column A: Normal stress (MPa)<br>- Column B: Shear stress at onset of sliding (MPa)<br>- Column C: Shear stress at onset of sliding lower boundary (MPa)<br>- Column D: Shear stress at onset of sliding higher boundary (MPa)<br>- Column E: Uncertainty on the shear stress at onset of sliding (MPa)</p>
Awareness of fifth metatarsal stress fractures among soccer coaches in Japan: A cross-sectional study
<p>Although a fifth metatarsal stress fracture is the most frequent stress fracture in soccer players, awareness of fifth metatarsal stress fractures among soccer coaches is unclear. Therefore, we performed an online survey of soccer coaches affiliated with the Japan Football Association to assess their awareness of fifth metatarsal stress fractures. A total of 150 soccer coaches were invited for an original online survey. Data on participants' age, sex, types of coaching licence, coaching category, types of training surface, awareness of fifth metatarsal stress fractures, and measures employed to prevent fifth metatarsal stress fractures were collected using the survey. Data from 117 coaches were analysed. Eighty-seven of the 117 coaches were aware of fifth metatarsal stress fractures; however, only 30% reported awareness of preventive and treatment measures for fifth metatarsal stress fractures. Licensed coaches (i.e., licensed higher than level C) were also more likely to be aware of fifth metatarsal stress fractures than unlicensed coaches were. Furthermore, although playing on artificial turf is an established risk factor for numerous sports injuries, soccer coaches who usually trained on artificial turf were more likely to be unaware of the risks associated with fifth metatarsal stress fractures than coaches who trained on other surfaces were (e.g., clay fields).<strong> </strong>Soccer coaches in the study population were generally aware of fifth metatarsal stress fractures; however, most were unaware of specific treatment or preventive training strategies for fifth metatarsal stress fractures. Additionally, coaches who practised on artificial turf were not well educated on fifth metatarsal stress fractures. Our findings suggest the need for increased awareness of fifth metatarsal stress fractures and improved education of soccer coaches regarding injury prevention strategies. </p>
Using Radiogenic Noble Gas Nuclides to Identify and Characterize Rock Fracturing - Data
<p>Data and data processing scripts associated with the paper:</p> <p>"<strong>Using Radiogenic Noble Gas Nuclides to Identify and Characterize Rock Fracturing</strong><strong>" <br></strong></p> <p>submitted to Earth and Space Sciences.</p> <p>Data and data processing scripts are given for each shot in a zipped archive. Metadata describing data and dataprocessing scripts for each shot can be found in a README file in each archive.</p>
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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.