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887 results for “tunnels”
Hematological Markers in Idiopathic Carpal Tunnel Syndrome
ClinicalTrials.gov study NCT06952647. IPD Sharing: NO. Countries: 1. Publications: 10.
Pain Outcomes of Intra-operative IV Tylenol and/or IV Toradol for Carpal Tunnel and Distal Radius Fracture Surgeries
ClinicalTrials.gov study NCT02313675. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Data from: Performance-based Egress safety assessment of underground tunnels: Simulation and artificial neural network approaches
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A novel choice test to detect the influence of fungi on the tunneling behavior of sympatric bark beetles (Coleoptera: Scolytinae)
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Politecnico di Milano - Wind tunnel test data on high-rise building
<p>High-resolution pressure data recorded in wind tunnel tests performed at the Politecnico di Milano wind tunnel on a generic prismatic high-rise building.<br>If you use these data, please cite:<br>Lamberti, G., Amerio, L., Pomaranzi, G., Zasso, A., & Gorlé, C. (2020). Comparison of high resolution pressure measurements on a high-rise building in a closed and open-section wind tunnel. Journal of wind engineering and industrial aerodynamics, 204, 104247. DOI: 10.1016/j.jweia.2020.104247</p>
Online Resource 2 - Radial displacement at the tunnel wall of a tunnel excavated with a single shield TBM at the state of equilibrium (comparison between different calculation methods)
<p>The radial displacement at the tunnel wall at the state of equilibrium calculated with the various ConVergence-ConFinement (CV-CF) methods is compared with the results obtained with a 3D numerical model of a tunnel excavation. A sensibility analysis is performed in order to compare the performance of the CV-CF approaches. The choice of the values of the mechanical parameters of the ground and of the lining is carried out in an attempt to cover the large range of situations encountered within single shield TBM. The total set of results from the sensibility analysis is shown in this work. Results obtained from some empirical formula proposed by the authors are also included.</p>
Online Resource 1 – Maximal hoop stress developed in the lining of a tunnel excavated with a single shield TBM at the state of equilibrium (comparison between different calculation methods)
<p>The maximal hoop stress developed in the lining of a tunnel at the state of equilibrium calculated with the various ConVergence-ConFinement (CV-CF) methods is compared with the results obtained with a 3D numerical model of a tunnel excavation. A sensibility analysis is performed in order to compare the performance of the CV-CF approaches. The choice of the values of the mechanical parameters of the ground and of the lining is carried out in an attempt to cover the large range of situations encountered within single shield TBM. The total set of results from the sensibility analysis is shown in this work. Results obtained from some empirical formula proposed by the authors are also included. <strong>A version 2 of the document with some minor corrections has been published. </strong></p>
Edge-State Wave Functions from Momentum-Conserving Tunneling Spectroscopy
<p>Supporting data for</p> <p>"Edge-State Wave Functions from Momentum-Conserving Tunneling Spectroscopy"</p> <p>T. Patlatiuk, C. P. Scheller, D. Hill, Y. Tserkovnyak, J. C. Egues, G. Barak, A. Yacoby, L. N. Pfeiffer, K. W. West, and D. M. Zumbuhl</p> <p> </p> <p>This dataset consists of one zip file with the data used in the figures of the main text and another zip file for the figures of the supplementary materials. The data is stored in the HDF5 format. The axes for 1D and 2D graphs are stored internally as additional 1D arrays.</p>
Complex relationship between tunneling patterns and individual behaviors in termites
<p>The nests built by social insects are complex group-level structures that emerge from interactions among individuals following simple behavioral rules. Nest patterns vary among species, and the theory of complex systems predicts that there is no simple one-to-one relationship between variations in collective patterns and variation in individual behaviors. Therefore, a species-by-sp<span>ecies comparison of the actual building process is essential to understand the mechanism producing diverse nest patterns. </span><span><span>Here we compare tunnel formation of three termite species, and reveal two mechanisms producing interspecific variation: in one, a common behavioral rule yields distinct patterns via parameter-tuning; in the other, distinct rules produce similar patterns. </span></span><span>We found that two related species </span><span><span>transport sand in the same way using mandibles</span></span><span> but build tunnels with different degree of branching. The variation arises from different probabilities of choosing between two behavioral options at crowded tunnel faces: excavating the sidewall to make a new branch or waiting for clearance to extend the current tunnel. We further discovered that a third species independently evolved low-branched patterns using different building rules; namely a bucket-brigade that can excavate a crowded tunnel</span><span><span>. Our findings emphasize the importance of direct comparative study of collective behaviors at both individual- and group-levels</span></span><span>. </span></p>
Quantum Tunneling Photodetector - concept movie
<p>simple illustration of the idea of Quantum Tunneling Photodetector</p>
Data from: Rapid divergence of nesting depth and digging appendages among tunneling dung beetle populations and species
Many dung beetle communities are characterized by species that share very similar morphological, ecological, and behavioral traits and requirements yet appear to be stably maintained. Here, we document that the morphologically nearly indistinguishable, sympatric, and syntopic tunneling sister species Onthophagus taurus and Onthophagus illyricus may be avoiding competitive exclusion by nesting at remarkably different soil depths. Intriguingly, we also find rapid divergence in preferred nesting depth across native and recently established O. taurus populations. Furthermore, geometric morphometric analyses reveal that both inter- and intraspecific divergences in nesting depth are paralleled by similar changes in the shape of the primary digging appendages, the fore tibiae. Collectively, our results identify preferred nesting depth and tibial shape as surprisingly evolutionarily labile and with the potential to ease interspecific competition and/or to facilitate adaptation to local climatic conditions.
Wind Tunnel Measurements of Aerodynamic Entrainment Rate of Particles
<p>This dataset is related to a wind tunnel experiment of aerodynamic entrainment rate of particles. Wind profiles are measured by pitot tube, for calibrating surface shear stress measured by Irwin sensors. Aerodynamic entrainment rate is measured through the mass difference weighting before and after the erosion event. Each case is repeated three times to find the average value and the error. The experimental setup is showed in figure 1.</p>
Figs. 55–58. Coptonotus uteq entrance tunnels. 55 in A Revision ofCoptonotusChapuis, 1869 (Coleoptera: Curculionidae: Coptonotinae) with Notes on Its Biology
Figs. 55–58. Coptonotus uteq entrance tunnels. 55) Initiation without latex; 56) Initiation with heavy latex flow;
Real-world vehicular source indicators for exhaust and non-exhaust contribution to PM2.5 during peak and off-peak hours using tunnel measurement
<p>The data are the species concentrations, traffic and meteorological information during the sampling periods in WJL tunnel, and the estimated function of E<sub>N</sub> curve under vehicle electrification.</p>
Data supporting findings for the manuscript: "An Ultra-High Vacuum Scanning Tunneling Microscope with Pulse Tube and Joule-Thomson cooling operating at sub-pm z-noise"
<p>This is the data repository for the manuscript:<br>An Ultra-High Vacuum Scanning Tunneling Microscope with Pulse Tube and Joule-Thomson cooling operating at sub-pm z-noise</p> <p>The data is contained in the zip file.</p> <p>The data is sorted in a folder structure, named after the corresponding images in the manuscript.</p> <p>The raw data and the analysis is given. </p>
Three dimensional microscale characterization of off-axis tunnelling cracks in non-crimp fabric based composites
<p>Video and x-ray data-sets behind the publications</p> <p>Bangaru, A.K., Mikkelsen, L.P. and, Sørensen, B.F. Three dimensional microscale characterization of off-axis tunnelling cracks in non-crimp fabric based composites, <em>Composites Science and Technology</em>, <strong>226</strong>, 109502, <a href="https://doi.org/10.1016/j.compscitech.2022.109502">https://doi.org/10.1016/j.compscitech.2022.109502</a>, 2022</p> <p>Videos: </p> <ul> <li>Figure 8: <a href="https://zenodo.org/api/files/cb486bb8-8183-4b67-bb03-4ed5e48d6d31/Fig08_CrackBranching_v1.mpg">Fig08_CrackBranching_v1.mpg</a>, <a href="https://youtu.be/rrp8Ax1er5I">Youtube-link</a></li> <li>Figure 10a: <a href="https://zenodo.org/api/files/cb486bb8-8183-4b67-bb03-4ed5e48d6d31/Fig10_a_MatrixPenetration.mpg">Fig10_a_MatrixPenetration.mpg</a>, <a href="https://video.dtu.dk/media/Fig10_a_MatrixPenetration.mpg/0_0ypbfkex">Video-link</a></li> <li>Figure 10b: <a href="https://zenodo.org/api/files/cb486bb8-8183-4b67-bb03-4ed5e48d6d31/Fig10_b_MatrixPenetration_HighResolution.mpg">Fig10_b_MatrixPenetration_HighResolution.mpg</a>, <a href="https://video.dtu.dk/media/Fig10_b_MatrixPenetration_HighResolution/0_1bexfv16">Video-link</a></li> <li>Figure 10c: <a href="https://zenodo.org/api/files/cb486bb8-8183-4b67-bb03-4ed5e48d6d31/Fig10_c_CrackTwisting_HighResolution.mpg">Fig10_c_CrackTwisting_HighResolution.mpg</a>, <a href="https://video.dtu.dk/media/Fig10_c_CrackTwisting_HighResolution/0_yphlldlh">Video-link</a></li> <li>Figure 14: <a href="https://zenodo.org/api/files/cb486bb8-8183-4b67-bb03-4ed5e48d6d31/Fig14_CrackPenetration_HighResolution.mpg">Fig14_CrackPenetration_HighResolution.mpg</a>, <a href="https://youtu.be/MO0VBdyYlAw">Youtube-link</a></li> <li>Figure 15: <a href="https://zenodo.org/api/files/cb486bb8-8183-4b67-bb03-4ed5e48d6d31/Fig15_CrackDeflection_HighResolution.mpg">Fig15_CrackDeflection_HighResolution.mpg</a>, <a href="https://video.dtu.dk/media/Fig15_CrackDeflection_HighResolution/0_cqw7xgyg">Video-link</a></li> </ul> <p>Scan data:</p> <ul> <li>Fig08_SpecimenS1_DataSet.txm: Data behind figure 8</li> <li>Fig10_a_SpecimenS2_DataSet_LowResolution_Stitch22_FoV6.5.txm: Data behind figure 10a</li> <li>Fig10_b_c_SpecimenS2_DataSet_HighResolution_FoV1.5.txm: Data behind figures 10b, 10c, 11, and 13</li> <li>Fig14_SpecimenS2_DataSet_HighResolution_FoV1.5.txm: Data behind figure 14</li> <li>Fig15_SpecimenS3_DataSet_HIghResolution_FoV1.5.txm: Data behind figure 15</li> </ul> <p> </p> <p> </p>
Dynamic implicit modeling of tunnel unfavorable geology based on multi-source data fusion using support vector machine
<p>This is the relevant data of the article "Dynamic implicit modeling of tunnel unfavorable geology based on multi-source data fusion using support vector machine"</p>
Data from: Passive mode-locking and terahertz frequency comb generation in resonant-tunneling-diode oscillator
<p>All the raw data and processed data used in the figures in the main text and Supplementary Information in the article "Passive mode-locking and terahertz frequency comb generation in resonant-tunneling-diode oscillator."</p>
O2-tolerant CO dehydrogenase via tunnel redesign for the removal of CO from industrial flue gas
<p>Molecular dynamics simulations for CODH enzymes studied in "<strong>O<sub>2</sub>-tolerant CO dehydrogenase via tunnel redesign for </strong><strong>the </strong><strong>removal of CO from industrial flue gas</strong><strong>".</strong></p> <p>The repository contains the 10 nanoseconds of NAMD simulation of CODH enzymes.</p>
Koeln Lindenthal Tunnel Entry Hole 50k
Source: Objaverse 1.0 / Sketchfab
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