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192 results for “grip”
Data to "Predicting precision grip grasp locations on three-dimensional objects"
<p>This record contains experimental and analysis scripts (written in Matlab) as well as raw and processed data to reproduce the results shown in:</p> <p>Klein, L. K. ^, Maiello, G. ^, Paulun, V. C., & Fleming, R. W. (in press). <br> Predicting precision grip grasp locations on three-dimensional objects. PLOS Computational Biology<br> ^co-first authors </p> <p>A preprint version of the manuscript is currently available at: https://doi.org/10.1101/476176</p>
GEM-Hydro gridded simulations for the Great Lakes Runoff Inter-comparison Project for Lake Erie (GRIP-E)
<p>This dataset provides gridded model simulations in NetCDF format over the Lake Erie using the GEM-Hydro model done within the Great Lakes Runoff Inter-comparison Project for Lake Erie (GRIP-E). The data are produced with SPS (GEM-Surf + SVS, the surface component of GEM-Hydro) open-loop runs with the SVS calibrated parameters obtained during GRIP-E project. For more information on the model and on calibration methodology, see GEM-Hydro section in Mai et al. 2020 (in prep.).</p> <p>The original model outputs had all variables accumulated for each day. During post-processing all variables have been de-accumulated by subtracting the accumulation of the previous hour from the accumulation of the current hour. Two variables (ALAT and O1) are also only valid over the land tile of each grid cell. Two additional variables (ALAT_full and O1_full) valid now over the whole grid cell have been added for convenience of the users.</p> <p><strong>Domain boundaries (WGS84 system): </strong><br> - lon_min = -85.5, lon_max = -77.94<br> - lat_min = 40.3, lat_max = 44.26</p> <p><strong>Resolution of model variables provided:</strong><br> - spatial: ~10km x 10km <br> - temporal: hourly </p> <p><strong>Simulation period:</strong><br> - 01 Jan 2011 - 31 Dec 2014 <br> - 01 Jan 2010 - 31 Dec 2010 (warm-up)</p> <p><strong>Meteorological input data:</strong><br> - RDRS-v1; see Mai et al. 2020 (in prep)</p> <p><strong>Variables available:</strong><br> float <strong>PR_0</strong>(time, rlat, rlon) ;<br> PR_0:units = "m" ;<br> PR_0:long_name = "Quantity of precipitation (valid over whole grid cell)" ;<br> float <strong>AHFL_0</strong>(time, rlat, rlon) ;<br> AHFL_0:units = "mm" ;<br> AHFL_0:long_name = "Surface evaporation (valid over whole grid cell)" ;<br> float <strong>TRAF_60268832</strong>(time, rlat, rlon) ;<br> TRAF_60268832:units = "mm" ;<br> TRAF_60268832:long_name = "Surface runoff (valid over whole grid cell)" ;<br> float <strong>ALAT_0</strong>(time, rlat, rlon) ;<br> ALAT_0:units = "mm" ;<br> ALAT_0:long_name = "Accumulation of total soil lateral flow (valid over land tile of grid cell)" ;<br> float <strong>ALAT_0_full</strong>(time, rlat, rlon) ;<br> ALAT_0_full:units = "mm" ;<br> ALAT_0_full:long_name = "Accumulation of total soil lateral flow (valid over whole grid cell)" ;<br> float <strong>O1_0</strong>(time, rlat, rlon) ;<br> O1_0:units = "mm" ;<br> O1_0:long_name = "Accumulation of base drainage (valid over land tile of grid cell)" ;<br> float <strong>O1_0_full</strong>(time, rlat, rlon) ;<br> O1_0_full:units = "mm" ;<br> O1_0_full:long_name = "Accumulation of base drainage (valid over whole grid cell)" ;<br> float <strong>WT_59868832</strong>(time, rlat, rlon) ;<br> WT_59868832:units = "1" ;<br> WT_59868832:long_name = "Fraction of grid cell covered with land" ;</p> <p>===============================================================</p> <p>These data and model runs have been performed under the Great Lakes Runoff Inter-comparison Project for Lake Erie (GRIP-E) led by Juliane Mai and Bryan Tolson (both University of Waterloo) and funded under the Integrated Modelling Program for Canada (IMPC) within the Global Water Futures program. </p>
"Get a Grip" dataset from the Me, Human project
<p>This work has been conducted at the London Science Museum between 02/07/2019 and 31/09/2019 and is part of the public engagement and citizen science collaboration project called Me, Human (www.mehuman.io/). The data set includes raw data of grip strength (power grip and precision grip) measured on visitors of the London Science Museum (UK). The experiments took place at the Science Museum in London during the summer months when the museum was more likely to attract international visitors. We did not record the ethnicity of the participants.</p> <p>All participants gave their written informed consent before participating in the study. The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Department of Psychological Sciences Ethics Committee at Birkbeck (ref: 181996), University of London.</p> <p>For more details on the method employed, see the published articles: </p> <p>Bardo A., Kivell T.L., Town K., Donati G., Ballieux H., Stamate C., Edginton T., Forrester G.S., 2021. Get a grip: variation in modern human grip strength and implication for human evolution. Symmetry 13(7), 1142. DOI: 10.3390/sym13071142. </p> <p>Bardo A., Town K., Kivell T.L., Donati G., Ballieux H., Stamate C., Edginton T., Forrester G.S, 2022. The precision of the human hand: variability in pinch strength and manual dexterity. Symmetry 14(1), 71. DOI: 10.3390/sym14010071. </p> <p> </p> <p><strong>Version V1.0</strong>: raw data of the grip strength (power grip and precision grip) in 663 adults (17 to 83 years old).</p>
Get a grip - evolution of claw shape in relation to microhabitat use in intertidal arthropods (Acari, Oribatida)
<p>Claws may be the most common biological attachment devices in animals but relatively few studies have examined the ecological and evolutionary significance of their morphology. We performed the first geometric morphometric investigation of arthropod claws ever using 15 intertidal oribatid mite species from two different families living in three different habitat types to determine if claw shape is correlated with ecology. Our results show that species living on rocky shores show remarkably high and strongly curved claws while species from mangrove habitats show significantly lower and less curved claws. Euryoecious species being able to dwell in a wide range of habitats show an intermediate claw type. These results indicate a strong relationship between claw shape and microhabitat whereas the best predictors of microhabitat use seem to be claw height and curvature. Claw length varied to some degree between the species but without any noticeable ecological pattern. A comparison with terrestrial and freshwater aquatic oribatid mite species, on the other hand, confirms that their claws are only half as long as that of intertidal mites and it is suggested that tidal flooding and wave action strongly selects for long claws. The present results indicate that claw morphology may play an important role in niche separation and hence demonstrate the importance of ecomorphological studies, especially in the microarthropod group which occupies a vast array of microhabitats.</p>
Grip on Software sprint features
<p>Data set of attributes and metrics that describe events during Scrum sprints at two software development organizations, both governmental IT organizations based in the Netherlands.</p>
Effects of grip position on forearm muscle surface electromyography activity during maximal isometric finger dead-hangs in rock climbers
<p>Dataset from the study titled: "Effects of grip position on forearm muscle surface electromyography activity during maximal isometric finger dead-hangs in rock climbers"</p> <p>The dataset includes data from: participant's characteristics, maximal absolute and BW relative loads used during dead-hangs, EMG RMS data for each of the registered muscles and grip positions, and neuromuscular efficiency data for each muscle and grip position.</p>
Get-a-Grip Lifestyle Management Programme
ClinicalTrials.gov study NCT04003259. IPD Sharing: NO. Countries: 1. Publications: 1.
The Leksand Hockey Trial on Grip Strength
ClinicalTrials.gov study NCT07115160. IPD Sharing: YES. Countries: 1. Publications: 5.
Impact of Robotic Glove Use on Quality of Life, Grip Strength and Fine Motor Control in ALS
ClinicalTrials.gov study NCT07298486. IPD Sharing: YES. Countries: 1. Publications: 4.
Get a grip - evolution of claw shape in relation to microhabitat use in intertidal arthropods (Acari, Oribatida)
Open the record for dataset details and reuse information.
ENSO’s changing grip on Bering Sea ice: The emerging control of the North Pacific meridional mode
Open the record for dataset details and reuse information.
Watershed shapes for the Great Lakes Runoff Inter-comparison Project for Lake Erie (GRIP-E)
<p>This dataset provides the shapefiles of the 46 calibration and 7 validation watersheds used within the Great Lakes Runoff Inter-comparison Project for Lake Erie (GRIP-E).</p> <p>The watersheds draining towards the following WSC and USGS gauge stations have been used for:</p> <p><strong>1a. calibration of objective 1</strong> (low-human impact)<br> (28 stations in total; 13 of them in both objective 1 and 2)<br> 02GA010 02GA018 02GA038 02GA047 02GB007<br> 02GC002 02GC010 02GC018 02GD004 02GE007<br> 02GG002 02GG003 02GG006 02GG009 02GG013<br> 04159492 04159900 04160600 04161820 04164000<br> 04165500 04166100 04177000 04196800 04197100<br> 04207200 04208504 04213000</p> <p><strong>1b. calibration of objective 2</strong> (most-downstream gauges closest to Lake Erie)<br> (31 stations in total; 13 of them in both objective 1 and 2)<br> 02GB001 02GB007 02GC002 02GC007 02GC018<br> 02GC026 02GE007 02GG003 02GG009 02GG013<br> 04159900 04160600 04165500 04166500 04174500<br> 04176500 04177000 04193500 04195820 04198000<br> 04199000 04199500 04200500 04208504 04209000<br> 04212100 04213000 04213500 04214500 04215000<br> 04215500</p> <p><strong>2. (spatial) validation</strong><br> (7 stations in total)<br> 02GE003 04167000 04168000 04185000 04195500<br> 04201500 04208000</p> <p>===============================================================</p> <p>These data have been derived under the Great Lakes Runoff Intercomparison Project for Lake Erie (GRIP-E) led by Juliane Mai and Bryan Tolson (both University of Waterloo) and funded under the Integrated Modelling Program for Canada (IMPC) within the Global Water Futures program.</p>
Data from: Precision grip control while walking down a step in children with unilateral cerebral palsy
Aim. To compare grip force (GF) and load force (LF) coordination while walking down a step between children with unilateral cerebral palsy (UCP) and typically developing (TD) children. Methods. Twenty-five children with UCP (age 9.3±1.7 y) and 25 TD controls (age 9.4±2.1 y) walked down a step while holding a grip-lift manipulandum. Dynamic and temporal variables were analyzed. The maximum voluntary contraction (MVC) was also assessed. Results. The temporal course was perturbed mainly in the more affected hand of children with UCP when compared to TD children because the increases in GF and LF onset occurred in a reversed order. Compared with the TD controls, the children with UCP presented higher LF values on both hands and a higher GF on the less affected hand. In children with UCP, the GF to LF adaptation was adequate on the less affected hand but overestimated on the more affected hand. Furthermore, children with UCP presented a lower MVC in the more affected hand, leading to a higher percentage of MVC used during the task. Interpretation. Our findings highlight an anticipatory control of precision grip during a stepping down task in children with UCP that is adequate for the less affected hand but altered for the more affected hand.
Data from: Peak vertical jump power predicts radial bone strength better than hand grip strength in healthy individuals
<p>Osteoporosis is considered a pediatric disease with geriatric consequences. However, measuring bone strength in children is complex and creates a practical problem for health professionals, teachers and parents. A non-invasive measure of muscle fitness that correlates to bone strength may provide a means to monitor bone strength throughout the lifespan. Therefore, the purpose of this study was to investigate the relationship between common muscle function tests (relative grip strength (RGS), peak vertical jump power (PP)) and bone strength in the radial diaphysis and epiphysis of a healthy population. Healthy participants (n=147 (81 female)) performed a bilateral grip strength test using a hand dynamometer, and a maximal vertical jump test. Peak vertical jump power was calculated from maximal jump height using the Sayer's equation. Moment of inertia (MoI), cortical area (CoA), cortical bone mineral density (cBMD), and polar strength-strain index (SSIp) were measured using peripheral Quantitative Computed Tomography (pQCT) to determine bone strength parameters at the 66% radial site (predominantly cortical bone). At the 4% site (trabecular bone site), bone mineral content (vBMC.tb), bone mineral density (vBMD.tb), total area (ToA.tb) and bone strength index (BSIc) were measured. Hierarchical multiple regression analyses determined the relationship of each muscle function test for each bone envelope (cortical and trabecular). For the cortical bone measurements:<b> </b>RGS, and PP were both significantly correlated with CoA, MoI, and SSIp. Peak vertical jump power predicted bone strength parameters to a greater extent compared to RGS. For the trabecular bone envelope, RGS was not a predictor of bone strength however peak power was a significant predictor of bone strength parameters. Peak vertical jump power was a significant predictor of bone strength at both trabecular and cortical radial sites. Interestingly PP, a lower limb measurement explained the most variance in the bone strength of the upper limb.</p>
Fast grip force adaptation to friction relies on localized fingerpad strains
<p>Humans can quickly adjust their grip force to a change in friction at the object-skin interface during dexterous manipulation in a precision grip. To perform this adjustment, they rely on the feedback of the mechanoreceptive afferents innervating the fingertip skin. Because these tactile afferents encode information related to skin deformation, the nature of the feedback signaling a change in friction must somehow originate from a difference in the way the skin deforms when manipulating objects of different frictions. To better characterize the origin of the underlying sensory events, we asked human participants to perform a grip-lifting task with a manipulandum equipped with an optical imaging system. This system enabled to monitor fingertip skin strains through transparent plates of glass that had different levels of friction. We observed that, following an unexpected change in friction, participants adapted their grip force within 370ms after contact with the surface. By comparing the deformation patterns when unexpectedly switching from a high to a low friction condition, we found a significant increase in skin deformation inside the contact area arising over 100ms before the motor response, during the loading phase, suggesting that local and partial deformation patterns prior to lift-off are used in the nervous system to adjust the grip force as a function of the frictional condition.</p>
IVIg Treatment-Related Fluctuations in CIDP Patients Using Daily Grip Strength Measurements
ClinicalTrials.gov study NCT02414490. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effectiveness of a Robot Assisted Tenodeis-grip Neurorehabilitation
ClinicalTrials.gov study NCT03713476. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Effects of Power Ball on Grip Strength in Children With Developmental Delay.
ClinicalTrials.gov study NCT05392296. IPD Sharing: NO. Countries: 1. Publications: 5.
Effects of Mobile Application Dexteria Fine Motor Skills on Hand Dexterity and Grip Strength in Chronic Stroke Patients
ClinicalTrials.gov study NCT05490797. IPD Sharing: NO. Countries: 1. Publications: 4.
Studying Finger-thumb Grip in Patients With Carpal Tunnel Syndrome
ClinicalTrials.gov study NCT02830828. IPD Sharing: Not stated. Countries: 1. Publications: 5.
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OpenNeuro
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