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52 results for “Performing Technique”

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zenodo36/100

Effects of Attentional Focus on Motor Performance and Physiology in a Slow-Motion Violin Bow-Control Task: Evidence for the Constrained Action Hypothesis in Bowed String Technique

<p>The constrained action hypothesis states that focusing attention on action outcomes rather than body movement improves motor performance. Dexterity of motor control is key to successful music performance, making this a highly relevant topic to music education. We investigated effects of focus of attention (FOA) on motor skill performance and EMG muscle activity in a violin bowing task among experienced and novice upper strings players. Following a pedagogically informed exercise, participants attempted to produce single oscillations of the string at a time under three FOA: internal (on arm movement), external (on sound produced), and somatic (on string resistance). Experienced players&rsquo; number of bow slips was significantly reduced under somatic focus relative to internal, although number of successful oscillations was not affected. Triceps electromyographic activity was also significantly lower in somatic compared to internal foci for both expertise groups, consistent with physiological understandings of FOA effects. Participants&rsquo; reported thoughts during the experiment provided insight into whether aspects of constrained action may be evident in performers&rsquo; conscious thinking. These results provide novel support for the constrained action hypothesis in violin bow control, suggesting a somatic FOA as a promising performance-enhancing strategy for bowed string technique.</p>

opencc-by-4.0Aug 2021View details →
zenodo36/100

Performance monitoring leveraging advanced AI technique with CNN

<p>The main goal of this project is to study and develop a reliable nondestructive testing (NDT)-based structural performance prediction model framework leveraging the advanced machine learning convolutional neural network (CNN) technique and rapid crack evaluation system. There are two steps of application CNN technique in this project: 1) the first step is to identify delamination, noise, and the unexpected signal produced by the existing damage identification algorithm to improve the accuracy of NDT results. The input image or training data of NDT data for CNN is comprehensively studied with several features, such as the duration of the signal, the starting time of the signal, the resolution of images, and the number of images. 2) The second step is to study damage prediction with four different stress levels. The FE model is used to simulate structural performance with different delamination conditions. Moreover, except for field test results, the artificial delamination model is created. &nbsp;We performed numerous finite element (FE) simulation to create inputs for CNN for damage detection. The result shows improved NDT results, and CNN can achieve structural performance prediction. We performed six tasks based on these objectives: Task 1. literature review; Task 2. Collect data from bridges; Task 3. perform filed test NDT results; Task 4. Develop FE model based on field test results; Task 5. development of a machine learning model for damage prediction.</p>

opencc-by-4.0Jul 2022View details →
ClinicalTrials.gov36/100

EXPERT CTO: Evaluation of the XIENCE PRIME™ LL and XIENCE Nano™ Everolimus Eluting Coronary Stent Coronary Stents, Performance, and Technique in Chronic Total Occlusions

ClinicalTrials.gov study NCT01435031. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Performance Evaluation of the ex Utero Cord Blood Collection Technique: Procedure, Quality and Results

ClinicalTrials.gov study NCT05836974. IPD Sharing: NO. Countries: 1. Publications: 12.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Transanal Inspection and Management of Low ColoRectal Anastomosis Performed With a New Technique

ClinicalTrials.gov study NCT02879370. IPD Sharing: UNDECIDED. Countries: 1. Publications: 12.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Effect of Senobi Versus Buteyko Technique on Functional Performance of Chronic Obstructive Pulmonary Disease Patient.

ClinicalTrials.gov study NCT06196957. IPD Sharing: NO. Countries: 1. Publications: 3.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Quick Yielding Modified Short-Distance Fenestration Technique for the Treatment of Complex Aortic Arch Diseases: a Multicenter Single-Arm Objective Performance Criteria Trial(QYM-Tech Study)

ClinicalTrials.gov study NCT06639243. IPD Sharing: NO. Countries: 1. Publications: 3.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Safety of Laparoscopic ChOlecystectomy Performed by Trainee Surgeons With Different CHolangiographic Techniques

ClinicalTrials.gov study NCT04863482. IPD Sharing: NO. Countries: 1. Publications: 26.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Magnetic Resonance Imaging and Functional Performance Outcome After ACL Repair With Internal Brace Technique

ClinicalTrials.gov study NCT02760589. IPD Sharing: UNDECIDED. Countries: 1. Publications: 15.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Study Comparing Arthrodesis Technique of Thoracic and/or Lumbar Spine by Posterior Approach Performed by Robot-assisted Surgery (Robot Mazor X Stealth ™) Versus Conventional Surgery

ClinicalTrials.gov study NCT05553028. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Bulk-fill With Different Technique Three-year Clinical Performance

ClinicalTrials.gov study NCT05861908. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Correlation Between the 'Nine Holes Peg Test' Performance and the Triple Stimulation Technique Within a Group a Patients With Multiple Sclerosis

ClinicalTrials.gov study NCT02805634. IPD Sharing: Not stated. Countries: 1. Publications: 16.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Simplified Technique for Performing Laparoscopic Gastric Bypass

ClinicalTrials.gov study NCT06782256. IPD Sharing: Not stated. Countries: 1. Publications: 18.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Clinical Performance of Polyethylene Fiber Reinforced Resin Composite Restorations (Wall Papering Technique) Versus Bulk Fill Resin Composite Restorations in Endodontically Treated Teeth Will be Evalu

ClinicalTrials.gov study NCT05180903. IPD Sharing: Not stated. Countries: 1. Publications: 13.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

This Study Performed to Develop a New Technique for Measuring the Intra Abdominal Pressure

ClinicalTrials.gov study NCT02319213. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Evaluation of Esthetic Performance of Resin Infiltration Technique on Enamel Lesions

ClinicalTrials.gov study NCT02896556. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

The Effect of Myofascial Release Technique on Sportive Performance, Balance and Injury Risk in Runners

ClinicalTrials.gov study NCT05392153. IPD Sharing: NO. Countries: 1. Publications: 21.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Investigation of the Effect of Deep Margin Elevation Technique on the Clinical Performance of Endocrown Restorations Produced by Computer-Aided Design and Computer-Aided Manufacturing (CAD/CAM) System

ClinicalTrials.gov study NCT06222918. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad32/100

Data from: Directional selection to improve the sterile insect technique (SIT): survival and sexual performance of desiccation resistant Anastrepha ludens strains

Open the record for dataset details and reuse information.

publicJun 2017View details →
zenodo28/100

Monitoring forest health using hyperspectral imagery: Does feature selection improve the performance of machine-learning techniques?

<p>This is a research compendium (RC) for the publication</p> <blockquote> <p>Monitoring forest health using hyperspectral imagery: Does feature selection improve the performance of machine-learning techniques?</p> </blockquote> <p>Code, figures, appendices and the manuscript can be found in the corresponding <a href="https://github.com/pat-s/2019-feature-selection">GitHub repository</a>.</p> <p>This RC is a static snapshot at the time of submission. The GitHub repository holds the latest version and may see changes after the publication was accepted.</p> <p><strong>Data sources and description</strong></p> <ul> <li><em>aoi.gpkg</em><strong>:</strong> Area of interest for downloading Sentinel-2 images. <em>Not used in the publication<strong>. </strong></em>Source:<em><strong> </strong></em>Custom.</li> <li><em>forest_mask.gpkg</em>: A forest/non-forest mask of the Basque Country. <em>Not used in the publication</em>. Source:<em><strong> </strong></em>Custom.</li> <li><em>hyperspectral.zip: </em>Hyperspectral remote sensing data used to extract reflectance values on the tree level. Source:<em><strong> </strong></em>Custom.</li> <li><em>plot-locations.gpkg: </em>Spatial location of the plots used in the study. Source:<em><strong> </strong></em>Custom.</li> <li><em>tree-in-situ-data-corrected.zip: </em>Corrected in-situ data containing defoliation information on the tree level. A correction of the spatial location was applied by the creators of the data. Source:<em><strong> </strong></em>Custom.</li> <li><em>tree-in-situ-data.zip: </em>First version of in-situ data containing defoliation information on the tree level.<em> Not used in the publication. </em>Source:<em><strong> </strong></em>Custom.</li> </ul> <p><strong>Licenses</strong></p> <p>All files are licensed under CC BY 4.0.</p>

opencc-by-4.0Jan 2020View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record