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97 results for “torque”
Data for the paper: Drag, lift and torque correlations for axi-symmetric rod-like non-spherical particles in locally linear shear flows
<p>These are the data files for the paper:</p> <p>Drag, lift and torque correlations for axi-symmetric rod-like non-spherical particles in locally linear shear flows</p> <p>authored by: Victor Chéron, Fabien Evrard, and Berend van Wachem</p> <p>#Files<br> Temporally averaged drag, lift and torque coefficients are written in .txt files stored in the folder ResultsCoefficients.<br> Python scripts used to derive the correlations are stored in the folder PythonScripts.<br> Results of an example simulation are provided in the folder SimulationResults.<br> A Python script with the final correlations of the manuscript is also included.</p> <p>#ResultsCoefficients<br> The .txt files are split per coefficient, aspect ratio and shear rate, which can be identified by the name of the .txt file<br> The results obtained for the torque coefficient of the particle of aspect ratio 2.5 for a uniform flow configuration are given in the file:<br> ### Uniform-Torque-Angles-Size2-5.txt<br> The results obtained for the lift coefficient of the particle of aspect ratio 10 for a shear rate 0.2 configuration are given in the file:<br> ### Shear02-Lift-Angles-Size10.txt<br> In these files, the results are ordered per orientation angle and particle Reynolds number.</p> <p>#PythonScripts<br> The python scripts for processing the data are split among three main functions in two files:<br> - Getter.py (reads the .txt files storing the coefficients - separate functions for the drag, lift and torque coefficients - as well as fill up the missing points for spherical particles using the Kurose and Komori correlations)<br> - generalmain (calls the Getter.py function). The Getter.py is called from the generalmain.py file. (run python3<br> generalmain.py). This will return a 1D column vector ordering the variables used to derive the correlations:<br> - Coefficients<br> - Reynolds number<br> - Orientation Angle<br> - Shear rate<br> - Aspect ratio<br> - Additional coefficients.</p> <p>The Python script ManuscriptCorrelations.py has the correlations as derived in the manuscript. This routine can be used to query the correlations, for plotting them or using them in a simulation.</p> <p><br> #SimulationResults<br> Simulation results of one case are provided:<br> - Aspect ratio 2.5, particle Reynolds number 200, orientation angle 90, Shear rate 0.2<br> The fields and particles information are stored in hdf5 file format.<br> A .xmf wrapper file is provided to read the simulation results in paraview.<br> Data up to 40 seconds of real time are provided due to storage limits.</p> <p><br> This research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project-ID 448292913.</p>
Rate of Torque Development and Voluntary Quadriceps Activation in Patients With Knee Osteoarthritis: A Quantitative Analysis Before and After a Single Session of Manual Physical Therapy
ClinicalTrials.gov study NCT04234282. IPD Sharing: YES. Countries: 1. Publications: 2.
Reliability and Validity of Inline Dynamometry Study for Measuring Knee Extensor Torque
ClinicalTrials.gov study NCT05109871. IPD Sharing: NO. Countries: 1. Publications: 9.
The Effects of Kinesio Tape® on Arthrogenic Muscle Inhibition and Rate of Torque Development
ClinicalTrials.gov study NCT03472924. IPD Sharing: NO. Countries: 1. Publications: 3.
Data for: Intrinsic spin Hall torque in a moiré Chern magnet
Open the record for dataset details and reuse information.
Data from: Field-free deterministic switching of all-van der Waals spin-orbit torque system above room temperature
Open the record for dataset details and reuse information.
Low mass planet migration in three dimensional wind-driven inviscid discs: A negative corotation torque - Animations
<p>Animations accompanying the paper "Low mass planet migration in three dimensional wind-driven inviscid discs: A negative corotation torque". Each file corresponds to a panel of Figures 3 and 4. All videos are at a frame rate 10 frames per second with one orbit per frame. Note these animations use a fixed colour scale, while the figures in the paper use colour scales tuned for the panels shown. The prefix of the filenames matches the title for the corresponding sub-panel of the figures in the paper, and the model code given in Table 1 of the paper which describes the details of each model.</p> <p>The video files correspond to the sub-panels of the figures in the paper as given below:</p> <p><strong>Figure 3</strong></p> <ul> <li>2AMS_logV_10fps.mp4 </li> <li>2AMD_logV_10fps.mp4 </li> <li>2AFS_logV_10fps.mp4 </li> </ul> <p><strong>Figure 4</strong></p> <ul> <li>3AMS_logV_10fps.mp4</li> <li>3WMS_logV_10fps.mp4</li> <li>3AFS_logV_10fps.mp4</li> </ul>
Data from: EMG versus torque control of human-machine systems: equalizing control signal variability does not equalize error or uncertainty
In this paper we asked the question: if we artificially raise the variability of torque control signals to match that of EMG, do subjects make similar errors and have similar uncertainty about their movements? We answered this question using two experiments in which subjects used three different control signals: torque, torque+noise, and EMG. First, we measured error on a simple target-hitting task in which subjects received visual feedback only at the end of their movements. We found that even when the signal-to-noise ratio was equal across EMG and torque+noise control signals, EMG resulted in larger errors. Second, we quantified uncertainty by measuring the just-noticeable difference of a visual perturbation. We found that for equal errors, EMG resulted in higher movement uncertainty than both torque and torque+noise. The differences suggest that performance and confidence are influenced by more than just the noisiness of the control signal, and suggest that other factors, such as the user's ability to incorporate feedback and develop accurate internal models, also have significant impacts on the performance and confidence of a person's actions. We theorize that users have difficulty distinguishing between random and systematic errors for EMG control, and future work should examine in more detail the types of errors made with EMG control.
Data from: Biomechanical evaluation of peak reverse torque (PRT) in a dynamic compression plate-screw construct used in a goat tibia segmental defect model
Background Peak reverse torque (PRT) is a valid method to evaluate implants' secondary stability in the healing bone. The secondary stability is achieved by the implant over time and it has been positively correlated with the implants' osseointegration level. In other words, peak reverse torque is the force required to break the bone-implant interface. The purpose of this study was to compare the peak reverse torque for the self-tapping and non-self-tapping screws used in a dynamic compression plate–screw–bone construct after 60 days of loading when used to stabilize 2.5-cm defects in the tibia of goats. The second objective was to compare the peak removal torque of the screws placed in the different positions to evaluate the impact of construct biomechanics on implants osseointegration. Results In total, 176 non-self-tapping screws and 66 self-tapping screws were used to fix the 8-holes dynamic compression plates to the bones. The screws were placed in the tibiae from proximal (position sites 1,2, 3) to distal (position sites 4,5,6) and were removed 60 days post-implantation. The animals remained weight-bearing throughout the study period. The screws placed in the proximal diaphysis had significantly less peak reverse torque than screws placed in the distal diaphysis in both groups (p < 0.05). The peak reverse torque resistance was also significantly less for the non-self-tapping screws as compared with the self-tapping screws (p < 0.05). The intracortical fractures in the trans-cortex occurred significantly more frequently during the placement of non-self-tapping screws (p < 0.05) as compared with self-tapping screws (p < 0.05). Conclusions Based on these results, we concluded that self-tapping screws may be expected to maintain a more stable bone-implant interface during the first 60 days of loading as compared with non-self-tapping screws. This should be a consideration for orthopedic surgeons and scientists using bone plates to stabilize non-load sharing fractures when a stable plate-screw-bone interface is needed to ensure prolonged stability.
Personal ancient item: Torques
VIII century BC. from Lavello (Potenza) - Italy. Source: Objaverse 1.0 / Sketchfab
Data for the article "Harnessing Orbital Hall Effect in Spin-Orbit Torque MRAM"
<p>Dataset for the article: R. Gupta et al., “Harnessing Orbital Hall Effect in Spin-Orbit Torque MRAM,” Nature Communications XX, XXXX (202X).</p> <p> </p>
On following pages: 558. Arguedas''s Grass Mouse (Akodon josemariarguedasi); 559. Junin Grass Mouse (Akodon juninensis); 560. Puno Grass Mouse (Akodon subfuscus); 561. Cloud Forest Grass Mouse (Akodon torques); 562. Silent Grass Mouse (Akodon surdus); 563. Kotosh Grass Mouse (Akodon kotosh); 564. White-bellied Grass Mouse (Akodon albiventen; 565. Bolivian Grass Mouse (Akodon boliviensis); 566. Lindbergh's Grass Mouse (Akodon lindberghi); 567. Cursorial Grass Mouse (Akodon curson; 568. Montane Grass Mouse (Akodon montensis); 569. Altiplano Grass Mouse (Akodon lutescens); 570. Thespian Grass Mouse (Akodon mimus); 571. Koford's Grass Mouse (Akodon kofordl); 572. Smoky Grass Mouse (Akodon fumeus); 573. Day's Grass Mouse (Akodon dayi); 574. Cochabamba Grass Mouse (Akodon siberiae); 575. Unicolored Grass Mouse (Akodon caenosus); 576. Tarija Grass Mouse (Akodon pervalens), 577. Gray-bellied Grass Mouse (Akodon simulator); 578. Budin's Grass Mouse (Akodon budini); 579. Variable Grass Mouse (Akodon varius); 580. Caparao Grass Mouse (Akodon mystax); 581. Parana Grass Mouse (Akodon paranaensis); 582. Sao Paulo Grass Mouse (Akodon sanctipaulensis); 583. Forest Grass Mouse (Akodon sylvanus); 584. Spegazzini's Grass Mouse (Akodon spegazzinii); 585. Toba Grass Mouse (Akodon toba); 586. Azara's Grass Mouse (Akodon azarae); 587 Philip Myers's Grass Mouse (Akodon philipmyersi); 588. Reig's Grass Mouse (Akodon reigi); 589. Polop's Grass Mouse (Akodon polopi); 590. Dolores Grass Mouse (Akodon dolores); 591. Intelligent Grass Mouse (Akodon iniscatus). in Cricetidae
On following pages: 558. Arguedas''s Grass Mouse (Akodon josemariarguedasi); 559. Junin Grass Mouse (Akodon juninensis); 560. Puno Grass Mouse (Akodon subfuscus); 561. Cloud Forest Grass Mouse (Akodon torques); 562. Silent Grass Mouse (Akodon surdus); 563. Kotosh Grass Mouse (Akodon kotosh); 564. White-bellied Grass Mouse (Akodon albiventen; 565. Bolivian Grass Mouse (Akodon boliviensis); 566. Lindbergh's Grass Mouse (Akodon lindberghi); 567. Cursorial Grass Mouse (Akodon curson; 568. Montane Grass Mouse (Akodon montensis); 569. Altiplano Grass Mouse (Akodon lutescens); 570. Thespian Grass Mouse (Akodon mimus); 571. Koford's Grass Mouse (Akodon kofordl); 572. Smoky Grass Mouse (Akodon fumeus); 573. Day's Grass Mouse (Akodon dayi); 574. Cochabamba Grass Mouse (Akodon siberiae); 575. Unicolored Grass Mouse (Akodon caenosus); 576. Tarija Grass Mouse (Akodon pervalens), 577. Gray-bellied Grass Mouse (Akodon simulator); 578. Budin's Grass Mouse (Akodon budini); 579. Variable Grass Mouse (Akodon varius); 580. Caparao Grass Mouse (Akodon mystax); 581. Parana Grass Mouse (Akodon paranaensis); 582. Sao Paulo Grass Mouse (Akodon sanctipaulensis); 583. Forest Grass Mouse (Akodon sylvanus); 584. Spegazzini's Grass Mouse (Akodon spegazzinii); 585. Toba Grass Mouse (Akodon toba); 586. Azara's Grass Mouse (Akodon azarae); 587 Philip Myers's Grass Mouse (Akodon philipmyersi); 588. Reig's Grass Mouse (Akodon reigi); 589. Polop's Grass Mouse (Akodon polopi); 590. Dolores Grass Mouse (Akodon dolores); 591. Intelligent Grass Mouse (Akodon iniscatus).
Activation of biceps femoris long head reduces tibiofemoral anterior shear force and tibial internal rotation torque in healthy subjects
<p>Experimental data & Matlab code</p>
Control of spin-orbit torque-driven domain nucleation through geometry in chirally coupled magnetic tracks
<p>Open data for "Control of spin-orbit torque-driven domain nucleation through geometry in chirally coupled magnetic tracks" published in <em>Appl. Phys. Lett.</em> 125, 142401 (2024)</p> <p><a href="https://doi.org/10.1063/5.0224146" target="_blank" rel="noopener">https://doi.org/10.1063/5.0224146</a></p>
Effects of Neuromuscular Electrical Stimulation Parameters on Torque, Fatigue, and Oxygen Extraction
ClinicalTrials.gov study NCT05061056. IPD Sharing: NO. Countries: 1. Publications: 10.
Effect of Two Preventive Exercise Programs for Swimmer's Shoulder on the Torque of Shoulder Rotator Muscles in Competitive Swimmers
ClinicalTrials.gov study NCT06552585. IPD Sharing: NO. Countries: 1. Publications: 1.
Root Torque Control in Cases Treated With Direct Printed Aligners
ClinicalTrials.gov study NCT07273552. IPD Sharing: NO. Countries: 1. Publications: 6.
Effect of Segmental Control Program on Hamstring Peak Torque in Patients With Non-specific Low Back Pain
ClinicalTrials.gov study NCT05288946. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Influence of Insertion Torque and Bone Type on Post-operative Pain
ClinicalTrials.gov study NCT06412380. IPD Sharing: NO. Countries: 1. Publications: 10.
Evaluation of the Effect of Root Canal Shaping With TruNatomy on Postoperative Pain and Operative Torque Generated During Instrumentation
ClinicalTrials.gov study NCT04616469. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
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