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2,000 results for “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>
Hand Made Brick
One of numerous hand made brick recovered during the excavation of the Eutaw Farm house in northeast Baltimore, Maryland. This brick was used in the construction of one of the several chimneys that heated the home. Source: Objaverse 1.0 / Sketchfab
Pipe with hand
Historical pipe of end 1800. Ivory handmade. Source: Objaverse 1.0 / Sketchfab
Acheulean Hand Axe (518a3)
**Acheulean hand axe** Location: Abbeville, France. Period: Lower Paleolithic (before 300,000 years ago). Material: flint. Dimensions: length, 118.2 mm; width, 65.5 mm; thickness, 44.7 mm. Notes: Catalog no. 518a3. This specimen is part of a larger collection of artifacts that was acquired in 1929 by James Bell Bullitt during a tour of western Europe and later donated to the University of North Carolina. Specimen resides in the North Carolina Archaeological Collection, Research Laboratories of Archaeology, University of North Carolina at Chapel Hill. Model by Kathleen Brock. Source: Objaverse 1.0 / Sketchfab
Acheulean Hand Axe (515a1-1)
**Acheulean hand axe** Location: Saint-Acheul Amiens, France. Period: Lower Paleolithic (before 300,000 years ago). Material: flint. Dimensions: length, 138.7 mm; width, 81.6 mm; thickness, 30.4 mm. Notes: Catalog no. 515a1 (specimen 1). This specimen is part of a larger collection of artifacts that was acquired in 1929 by James Bell Bullitt during a tour of western Europe and later donated to the University of North Carolina. Specimen resides in the North Carolina Archaeological Collection, Research Laboratories of Archaeology, University of North Carolina at Chapel Hill. Model by Kay Waller. Source: Objaverse 1.0 / Sketchfab
Hand Painted Creamer
For more information about this item visit: https://bhpsite.org/ Source: Objaverse 1.0 / Sketchfab
Acheulean Hand Axe (518a2-2)
**Acheulean hand axe** Location: Abbeville, France. Period: Lower Paleolithic (before 300,000 years ago). Material: flint. Dimensions: length, 135.8 mm; width, 67.9 mm; thickness, 42.7 mm. Notes: Catalog no. 518a2. This specimen is part of a larger collection of artifacts that was acquired in 1929 by James Bell Bullitt during a tour of western Europe and later donated to the University of North Carolina. Specimen resides in the North Carolina Archaeological Collection, Research Laboratories of Archaeology, University of North Carolina at Chapel Hill. Model by Chris LaMack. Source: Objaverse 1.0 / Sketchfab
Bronze Hand of Sabazios, Gradina, Bosnia
The bronze hand found at Gradina near Srebrenica testifies to the presence of one such cult, namely the cult of the god Sabazios. 4th century. Data were collected as part of a joint research project between GDH and the Association for the Digitization and Informatisation of Cultural Heritage (DIGI.BA) in Sarajevo, in full collaboration with the National Museum of Bosnia and Herzegovina, Sarajevo. Model was created from 392 images from a Canon 5D mk IV. All data were processed in Reality Capture. Project ID NMB BH116. Source: Objaverse 1.0 / Sketchfab
Twisted Cordate Hand Axe
Source: Objaverse 1.0 / Sketchfab
two-handed sword
Source: Objaverse 1.0 / Sketchfab
FIGURE 2. Hand-written 1839–1864 in Rediscovery of the 220 - year-old holotype of the Banded Iguana, Brachylophus fasciatus (Brongniart, 1800) in the Paris Natural History Museum
FIGURE 2. Hand-written 1839–1864 MNHN-RA catalogue indicating the two Brachylophus specimens donated by Arnoux in November 1846. No collection locality is provided.
Refactoring Code Smells in Open Source Projects: A Hands-on Approach to Teaching Software Maintenance
<p>Code smells are suboptimal code structures that can undermine software quality and maintainability. On the one hand, software engineers commonly apply refactoring techniques to address these deficiencies and improve internal quality attributes. On the other hand, when performed manually and without discipline, refactoring can lead to code degradation. Despite its importance, refactoring and code smells are rarely explored in depth in undergraduate computing courses, which can be reflected in industry practices. To address this gap, this paper presents a hands-on approach to teaching code smell refactoring through contributions to Open Source Software (OSS) projects, an environment where developers with diverse skill levels collaborate, and maintaining code quality is particularly challenging. Code smells accumulate over time in such scenarios, hindering software evolution and collaboration. Our study in two undergraduate Software Quality and Software Maintenance courses expands on previous findings by incorporating an in-depth analysis of students’ learning experiences. The results indicate that: (i) students rec- ognized improvements in code quality after refactoring; (ii) they identified strong connections between refactoring, testing, and debugging; (iii) their confidence decreased when refactoring required changes across multiple files; (iv) code complexity posed a significant challenge to refactoring; (v) students’ choices of refactoring techniques were influenced by project structure and personal preferences, often combining multiple techniques to address a single smell; (vi) in some cases, refactoring introduced new code smells; (vii) the longest refactoring efforts were also the most likely to reintroduce code smells; (viii) contributing to OSS projects improved students’ programming skills and fostered a sense of professional growth; (ix) students faced challenges in understanding OSS contribution processes, particularly regarding issue resolution, adherence to contribution guidelines, and responding to maintainer feedback; (x) automated checks and review workflows varied across projects, affecting students’ ability to submit successful contributions; and (xi) despite these challenges, engagement with OSS enabled students to gain practical experience in collaborative software development. Our findings offer valuable insights for software engineering educators seeking to integrate refactoring practices into coursework while leveraging OSS contributions as an educational tool.</p>
UKV Lee Waves 700 hPa vertical velocities and hand labels
<p>Data to train models to segment trapped lee waves from vertical velocity NWP data.</p> <p>Full details in QJRMS paper <a href="https://doi.org/10.1002/QJ.4592">https://doi.org/10.1002/QJ.4592</a>.</p> <p>Met Office UKV data available under the <a href="https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/">Open Government Licence</a>.</p>
Fig. 5. Metacarpus I in Morphology of the hand skeleton of bats of the genus Noctilio (Chiroptera: Noctilionidae)
Fig. 5. Metacarpus I (left): dorsal and medial view N. leporinus (A–B); dorsal and medial view N. albiventris (I–J). Proximal epiphysis of metacarpus II (left): dorsal, lateral and medial view N. leporinus (C–E); dorsal, lateral and medial view N. albiventris (K–M). Proximal epiphysis of metacarpus III (left): dorsal, lateral and medial view N. leporinus (F–H); dorsal, lateral and medial view N. albiventris (N–P). Proximal epiphysis of metacarpus IV (left): dorsal, lateral and medial view N. leporinus (Q–S); dorsal, lateral and medial view N. albiventris (W–Y). Proximal epiphysis of metacarpus V (left): dorsal, lateral and medial view N. leporinus (T–V); dorsal, lateral and medial view N. albiventris (Z-BB). The arrows indicate the orientation of the bone: Pr: proximal, Di: distal. See Table 1 for abbreviations. Scales = 1 mm.
Fig. 4 in Morphology of the hand skeleton of bats of the genus Noctilio (Chiroptera: Noctilionidae)
Fig. 4. Magnum (left): lateral and medial view N. leporinus (A–B); lateral and medial view N. albiventris (G–H). Trapezium: lateral and medial view N. leporinus (C–D); lateral and medial view N. albiventris (I–J). Trapezoid: lateral and medial view N. leporinus (E–F); lateral and medial view N. albiventris (K–L). The arrows indicate the orientation of the bone: D: dorsal, P: palmar. See Table 1 for abbreviations. Scales = 1 mm.
Fig. 2 in Morphology of the hand skeleton of bats of the genus Noctilio (Chiroptera: Noctilionidae)
Fig. 2. Scaphocentralunate (left): dorsal, palmar, proximal and distal view N. leporinus (A–D); dorsal, palmar, proximal and distal view N. albiventris. The arrows indicate the orientation of the bone: D: dorsal, Di: distal, L: lateral, P: palmar. See Table 1 for abbreviations. Scales = 1 mm.
Fig. 3 in Morphology of the hand skeleton of bats of the genus Noctilio (Chiroptera: Noctilionidae)
Fig. 3. Cuneiform (left): dorsal and palmar view N. leporinus (A–B); dorsal and palmar view N. albiventris (F–G). Unciform: medial, lateral and palmar view N. leporinus (C–E); medial, lateral and palmar view N. albiventris (H–J). The arrows indicate the orientation of the bone: D: dorsal, Di: distal, P: palmar, Pr: proximal. See Table 1 for abbreviations. Scales = 1 mm.
Fig. 1 in Morphology of the hand skeleton of bats of the genus Noctilio (Chiroptera: Noctilionidae)
Fig. 1. Schematized of the left radius, carpus and metacarpus of Noctilio leporinus. Anterior, distal and posterior views of the radius (A–C); dorsal and palmar view of the carpus and proximal epiphyses metacarpi (D–E). See Table 1 for abbreviations. Unscaled.
Thermal Video Dataset of Hand Gestures
<p>Our dataset is captured with the FLIR Lepton 2.5 thermal camera, which comes with a radiometric shutter and a focal length of 80X60 pixels. The camera's spectral range is 8 µm to 14 µm, and it has a 63.5 degrees of diagonal field of view and a 50 degrees of nominal horizontal field of view. The camera uses a progressive scan array format of 80X60 pixels.</p> <p>The dataset contains 990 sequences of thermal videos each made up of 15/10/5 frames. It's built up of 9 hand gestures, each with 10 classes within. We had eleven individuals do the gestures to ensure a variety of hand sizes, shapes, and temperatures. </p>
Replicated Hand Axe (1966a1-4)
**Acheulean hand axe** Location: France. Period: Early-Middle Paleolithic (before 300,000-100,000 years ago). Material: flint. Dimensions: length, 173.0 mm; width, 48.7 mm; thickness, 40.5 mm. Notes: Catalog no. 1966a1 (specimen 4). This specimen is one of 16 Paleolithic chipped-stone tools replicated about 1929 by French archaeologist Abbe (Henri) Breuil, Institute of Human Paleontology, Paris, France. It is part of a larger collection of Paleolithic artifacts that was acquired in 1929 by James Bell Bullitt during a tour of western Europe and later donated to the University of North Carolina. Specimen resides in the North Carolina Archaeological Collection, Research Laboratories of Archaeology, University of North Carolina at Chapel Hill. Model by Abigail Gancz. Source: Objaverse 1.0 / Sketchfab
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.