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345 results for “cracking”
Appendix 1 in On new genera and species of crack-leg spiders (Araneae, Udubidae) from Madagascar
<p><b>Appendix 1</b>. Information on the primers (names. strand direction - forward (F) or reverse (R) - sequences and sources) used in this study for the amplification and sequencing of the studied markers</p><table><tbody><tr><th><b>Marker</b></th><th><b>Primer name</b></th><th><b>Direction</b></th><th><b>Primer sequence</b></th><th><b>References</b></th></tr></tbody><tbody><tr><th><b>COI</b></th><td>C1-J-1718- spider</td><td>F</td><td>5’-GGNGGATTTGGAAATTGRTTRGTTCC-3’</td><td>Vink <i>et al.</i> (2005)</td></tr><tr><th></th><td>C1-N-2568</td><td>R</td><td>5’-GCTACAACATAATAAGTATCATG-3’</td><td>Hedin & Maddison (2001)</td></tr><tr><th></th><td>LCO1-1490</td><td>F</td><td>5’-GGTCAACAAATCATAAAGATATTG-3’</td><td>Folmer <i>et al.</i> (1994)</td></tr><tr><th><b>16S rRNA</b></th><td>LR-N-13398 (16Sar)</td><td>F</td><td>5’-CGCCTGTTTAACAAAAACAT-3’</td><td>Simon <i>et al.</i> (1994)</td></tr><tr><th></th><td>LR-J-12887 (16Sbr)</td><td>R</td><td>5’-CCGGTCTGAACTCAGATCACGT-3’</td><td>Simon <i>et al.</i> (1994)</td></tr></tbody></table>
Table 2 in On new genera and species of crack-leg spiders (Araneae, Udubidae) from Madagascar
<p><b>Table 2.</b> Estimates of evolutionary divergence (expressed in %) over sequence pairs between groups. The number of base differences per site from averaging over all sequence pairs between groups is shown for each compared taxon. The rate variation among sites was modeled with a gamma distribution (shape parameter = 4). This analysis involved 15 nucleotide sequences with 1020 positions in the final dataset for COI (lower left corner) and nine sequences with 436 positions in the final dataset for 16S (upper right corner). All ambiguous positions were removed for each sequence pair (pairwise deletion option).</p><table><tbody><tr><th>COI (lower part) / 16S (upper part)</th><th><i>Zorascar</i> gen. nov.</th><th><i>Tabiboka</i> gen. nov.</th><th><i>Zorodictyna</i></th><th><i>Raecius</i></th><th><i>Uduba</i></th></tr></tbody><tbody><tr><th><i>Zorascar</i> gen. nov.</th><td></td><td>18.31</td><td>18.70</td><td>19.08</td><td>18.47</td></tr><tr><th><i>Tabiboka</i> gen. nov.</th><td>11.78</td><td></td><td>20.37</td><td>21.58</td><td>20.00</td></tr><tr><th><i>Zorodictyna</i></th><td>13.64</td><td>12.82</td><td></td><td>18.03</td><td>21.38</td></tr><tr><th><i>Raecius</i></th><td>15.53</td><td>14.21</td><td>14.86</td><td></td><td>18.59</td></tr><tr><th><i>Uduba</i></th><td>15.50</td><td>14.45</td><td>14.06</td><td>15.31</td><td></td></tr></tbody></table>
Fig. 5 in A tough nutlet to crack: Resolving the phylogeny of Thesium (Thesiaceae), the largest genus in Santalales
Fig. 5. Caption on next page.
Fig. 3 in A tough nutlet to crack: Resolving the phylogeny of Thesium (Thesiaceae), the largest genus in Santalales
Fig. 3. Caption on next page.
Mechanical MNIST crack path extended version
<p>The Mechanical MNIST Crack Path dataset contains Finite Element simulation results from phase-field models of quasi-static brittle fracture in heterogeneous material domains subjected to prescribed loading and boundary conditions. For all samples, the material domain is a square with a side length of 1. There is an initial crack of fixed length (0.25) on the left edge of each domain. The bottom edge of the domain is fixed in x (horizontal) and y (vertical), the right edge of the domain is fixed in x and free in y, and the left edge is free in both x and y. The top edge is free in x, and in y it is displaced such that, at each step, the displacement increases linearly from zero at the top right corner to the maximum displacement on the top left corner. Maximum displacement starts at 0.0 and increases to 0.02 by increments of 0.0001 (200 simulation steps in total). The heterogeneous material distribution is obtained by adding rigid circular inclusions to the domain using the Fashion MNIST bitmaps as the reference location for the center of the inclusions. Specifically, each center point location is generated randomly inside a square region defined by the corresponding Fashion MNIST pixel when the pixel has an intensity value higher than 10. In addition, a minimum center-to-center distance limit of 0.0525 is applied while generating these center points for each sample. The values of Young's Modulus (E), Fracture Toughness (G<sub>f</sub>), and Failure Strength (f<sub>t</sub>) near each inclusion are increased with respect to the background domain by a variable rigidity ratio r. The background value for E is 210000, the background value for G<sub>f</sub> is 2.7, and the background value for f<sub>t</sub> is 2445.42. The rigidity ratio throughout the domain depends on position with respect to all inclusion centers such that the closer a point is to the inclusion center the higher the rigidity ratio will be. We note that the full algorithm for constructing the heterogeneous material property distribution is included in the simulation scripts shared on GitHub. The following information is included in our dataset:</p> <p><span><span><span><span><span><span><span><span><span>(1) Locations of the center of the inclusions (the script to extract rigidity ratio matrices with the desired resolution is available on GitHub), (2) the displacement and damage fields every ten simulation step reported over a uniform 256×256 grid (3) the full resolution displacements and damage fields at both the final displacement step and the damage initiation state, and (4) the force-displacement curves for each simulation.</span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span>All simulations are conducted with the FEniCS computing platform (FEniCS Project). The code to reproduce these simulations is hosted on GitHub (https://github.com/saeedmhz/phase-field).</span></span></span></span></span></span></span></span></span></p>
Figure 1 in Cracking a Developmental Constraint: Egg Size and Bird Evolution
Figure 1. Cartoon to show a simplified consensus phylogeny of Mesozoic birds.
Interpretable Geotechnical Artificial Intelligence (XGeoT-AI) Application to Demystify Image Recognition of Soil Cracks [Datasets]
<p>Here is the test data for the paper "Interpretable Geoscience Artificial Intelligence (XGeoS-AI): Application to Demystify Image Recognition".</p>
Assessment of dentinal crack formation using Otoscope, Ophthalmoscope and Dental operating Microscope during surgical apicoectomy at the resected root ends prepared with conventional and ultrasonic technique.
<p><strong>The aim of this study is to assess the formation of dentinal cracks during surgical apicoectomy and compare the use of conventional burs and ultrasonic tips for root end preparation. Additionally, the potential of otoscope and ophthalmoscope as alternative approaches for crack identification will be evaluated in comparison to the dental operating microscope. Thirty-two extracted human premolars will undergo standardized root canal treatment and will be divided into two groups. Group I will receive root end preparation using a conventional technique, while Group II will undergo ultrasonic root end preparation. Dentinal crack formation will be observed using otoscope, ophthalmoscope, and DOM at various magnifications. The presence of cracks will be assessed and compared between the groups. Through a review of the literature, previous studies have demonstrated the potential for dentinal crack formation during ultrasonic root end preparation. However, the efficacy of crack detection varied across different imaging methods. This study aims to contribute to the existing knowledge by comparing the effectiveness of different instruments in crack identification. The findings from this study will aid in selecting suitable restorative materials for root end restoration, minimizing microleakage, and increasing the success rate of endodontic surgery. The data will be statistically analyzed to determine any significant differences in crack formation between the two techniques and the various observation methods.</strong></p>
Thermal Response due to Crack Growth in Viscoelasticity
<p>The study of thermal response in the crack tip due to crack growth is very important to study the material behavior. Actually, the thermal response in the crack tip is generated by the mechanical dissipation energy properties, e.g. the viscous energy dissipation. Therefore, we proposed the PFM for crack propagation in thermoviscoelasticity solids and demonstrated several numerical examples. Our present model is derived from the Francfort–Marigo energy with the Ambrosio–Tortorelli regularization, and thermal energy. Our study aims to investigate the thermal response in the material due to crack growth numerically using the proposed model. In the numerical method, since we need the mesh which has to be fine enough to capture the damage variable $z$, we apply the adaptive finite element method. Several interesting numerical examples are demonstrated, such as; Mode I crack propagation, Mixed Mode I+II crack propagation, and scalar Mode III crack propagation in the non-isothermal and adiabatic processes. Numerical experiments demonstrate the capability of the proposed model to capture the temperature increasing around crack tips which is consistent with the viewpoint of laboratory experiments in the literature.</p>
Using Dexpanthenol Cream to Prevent Lip Corner Cracks in Children After Tonsil/Adenoid Surgery
ClinicalTrials.gov study NCT07002632. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Bilateral Prefrontal Modulation in Crack-cocaine Addiction
ClinicalTrials.gov study NCT02091167. IPD Sharing: NO. Countries: 1. Publications: 12.
Prefrontal Cortex Stimulation as Treatment for Crack-cocaine Addiction
ClinicalTrials.gov study NCT01337297. IPD Sharing: Not stated. Countries: 1. Publications: 11.
Contingency Management Treatment for Crack Addiction - Study With Brazilian Population
ClinicalTrials.gov study NCT01815645. IPD Sharing: NO. Countries: 1. Publications: 3.
Data from: Cracking the case: seed traits and phylogeny predict time to germination in prairie restoration species
Open the record for dataset details and reuse information.
Mechanical MNIST crack path extended version
Open the record for dataset details and reuse information.
Data to accompany manuscript: Detection and tracking of cracks based on thermoelastic stress analysis
<p>Thermoelastic stress analysis datasets were collected during tensile loading of hole-in-plate aluminium alloy specimens, at both constant amplitude and frequency conditions, and at variable amplitude and frequency conditions - based on an idealised flight cycle. Data were collected during initiation and propagation of a fatigue crack and monitored using three types of infra-red detector at different price points.</p> <p> </p> <p>--------------------------</p> <p>This dataset accompanies the manuscript:</p> <p>Detection and tracking of cracks based on thermoelastic stress analysis</p> <p>Middleton C. A.1, Weihrauch, M.1, Christian, W. J. R.1, Greene, R. J.2, and Patterson, E. A.1</p> <p>1School of Engineering, University of Liverpool, The Quadrangle, Brownlow Hill, Liverpool, L69 3GH, U.K.<br> 2Strain Solutions Ltd, Dunston Innovation Centre, Dunston Road, Chesterfield, Derbyshire S41 8NG, U.K.</p> <p>Royal Society Open Science, Accepted: 26 November 2020</p> <p> </p> <p> </p>
Data from: Comparative modelling of crack propagation in elastic-plastic materials using meshfree LRPIM and XFEM
<p>The modelling of crack propagation for elastic-plastic materials is critical in various engineering applications, such as safety analysis of concrete structures and stability analysis of rock slopes. Combined with elastic-plastic theory and fracture mechanics, the local radial basis point Interpolation method (LRPIM)has the ability to analyse crack propagation in elastic-plastic materials. Crack propagation in elastic-plastic materials is compared using the LRPIM and Extended Finite Element method (XFEM). The comparative investigation indicates that: (1) The LRPIM results are close to the model test results, which indicates that it is feasible for analysing crack growth of elastic-plastic materials. (2) Compared with the LRPIM, the XFEM results are closer to the experimental results, showing that the XFEM has higher accuracy and computational efficiency. (3) Compared with the XFEM, when the LRPIM method is used to analyse crack propagation, the propagation path is not smooth enough, which can be explained that the crack tip stress and strain not being accurate enough.</p>
Terrain Cracked
UAV scan of cracked, burnished stone mud. Source: Objaverse 1.0 / Sketchfab
Crack nucleation using combined crystal plasticity modelling, HR-DIC and HR-EBSD in a superalloy containing non-metallic inclusions under fatigue
<p>The uploaded data are required to reproduce the experimental results in the paper. </p> <p>To replicate figure 4, both GID.mat and thermal_E11.mat should be loaded into matlab. </p> <p>To replicate figure 6, strain_11.mat should be uploaded. Then fDIC_GB.m should be executed. </p> <p>If the reader has further questions, please contact Tiantian Zhang at tiantian.zhang08@imperial.ac.uk or tzhang6@wpi.edu</p>
FIGURE 8. Male characters. Scale bars, 1 in Phylogeny of Dynastor and Brassolis butterflies (Lepidoptera: Nymphalidae): a tough nut to crack
FIGURE 8. Male characters. Scale bars, 1 mm. Labial palp in lateral view. (A) Bia actorion. (B) Brassolis sophorae. (C) Dynastor darius. Tegumen in dorsal view. (D) B.astyra. Genitalic capsule in lateral view. (E) D. darius. (F) B. sophorae. Tegumen and uncus in lateral view. (G) D. macrosiris. Phallus in lateral view. (H) D. napoleon. Juxta in ventral view. (I) B. astyra. (J) D. napoleon. Phallus in ventral view. (K) D. darius. (L) B. haenschi. (M) B. granadensis.
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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.