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57 results for “loom”
Set of loom files for three Ewing sarcoma cell lines CHLA9, CHLA10, TC71 profiled with scRNASeq at single cell level
<p>The raw sequence files were published in <a href="https://www.mdpi.com/2072-6694/12/4/948">Miller et al, 2020, Cancers</a> . The files were downloaded and processed using kallisto mapper.</p> <p>The loom files were used to build a <a href="https://doi.org/10.1101/2021.06.14.448414">model of cell cycle with switches</a> and in the development of <a href="https://github.com/csgroen/scycle">scycle Python package</a>.</p>
Data from "Asymmetries in behavioral and neural responses to spectral cues demonstrate the generality of auditory looming bias"
<p>Supporting material for Baumgartner et al. (2017): "Asymmetries in behavioral and neural responses to spectral cues demonstrate the generality of auditory looming bias" in Proc Natl Acad Sci USA; www.pnas.org/cgi/doi/10.1073/pnas.1703247114</p>
Mosquitoes escape looming threats by actively steering into the bow-wave induced by the attacker
<p>To detect and escape a threat, night flying insects must rely on other senses than vision alone. Here we study how anthropophilic malaria mosquitoes can escape a swatting hand in the dark using high-speed videography and numerical simulations. We show that these night flying mosquitoes escape looming objects by using the object-induced airflow in two ways. They first actively steer into the <a>bow-wave</a><span><span> </span></span> produced by the attacker, and then passively travel with this bow-wave away from the attacker; these two aspects explain two-thirds and one-third of their escape accelerations, respectively. Thus, flying mosquitoes being attacked in the dark rely both on airflow-sensing to trigger their escape, and on attacker-induced airflow to maximize their escape performance. Similar escape strategies are probably common among small lightweight insects.</p> <div> <div> <div></div> </div> </div>
BRAIN Journal-Participative Teaching with Mobile Devices and Social Networks for K-12 Children-Figure 4. Augmented Reality with video movie and social media (a vertical loom in front of two reconstructed kilns and a wall of a Roman villa rustica)
<p>The third stage was represented by the 3D virtual reconstruction process of the historical contexts, in our case a prehistoric village and a complete Roman villa rustica, with the help of students from the Design Department, NUA, coordinated by Professor Arch. Andreea Hasnaş. The AR application was created and tested on two commercial AR platforms, Layar and Junaio, and recently moved on the Aurasma platform (https://www.aurasma.com/). The POIs were augmented with the 3D virtual reconstructions, and also with 2D images and videos representing 3D virtual tours and technological processes (Figures 3, 4, 5). The AR application was connected to teachers’ emails and to Twitter, Facebook and Google+ project’s pages. </p>
BRAIN Journal-Participative Teaching with Mobile Devices and Social Networks for K-12 Children-Figure 5. Fiber artist Alexandra Rusu (NUA) working at a Roman vertical loom (video movie)
<p>The third stage was represented by the 3D virtual reconstruction process of the historical contexts, in our case a prehistoric village and a complete Roman villa rustica, with the help of students from the Design Department, NUA, coordinated by Professor Arch. Andreea Hasnaş. The AR application was created and tested on two commercial AR platforms, Layar and Junaio, and recently moved on the Aurasma platform (https://www.aurasma.com/). The POIs were augmented with the 3D virtual reconstructions, and also with 2D images and videos representing 3D virtual tours and technological processes (Figures 3, 4, 5). The AR application was connected to teachers’ emails and to Twitter, Facebook and Google+ project’s pages</p>
Live Loom - demonstration
<p>Video demonstration of Live Loom, a prototype device for hand-weaving with the support of a programming language.</p>
Dual receptive fields underlying target and wide-field motion sensitivity in looming sensitive descending neurons
<p><span>Many animals use motion vision information to control dynamic behaviors. Predatory animals, for example, show an exquisite ability to detect rapidly moving prey followed by pursuit and capture. Such target detection is not only used by predators but can also play an important role in conspecific interactions. Male hoverflies (<em>Eristalis</em> <em>tenax</em>), for example, vigorously defend their territories against conspecific intruders. Visual target detection is believed to be subserved by specialized target-tuned neurons that are found in a range of species, including cats, zebrafish, and insects. However, how these target-tuned neurons respond to actual pursuit trajectories is currently not well understood. To redress this, we recorded extracellularly from target selective descending neurons (TSDNs) in male <em>Eristalis</em> <em>tenax</em> hoverflies. We show that the neurons have dorso-frontal receptive fields, with a preferred direction up and away from the visual midline. We next reconstructed visual flow-fields as experienced during pursuits of artificial targets (black beads). We recorded TSDN responses to six reconstructed pursuits and found that each neuron responded consistently at remarkably specific time points, but that these time points differed between neurons. We compared the observed spike probability with the spike probability predicted from each neuron's receptive field and size tuning and found a correlation coefficient of 0.35. Interestingly, however, the overall response rate was low, with individual neurons responding to only a small part of each reconstructed pursuit. In contrast, the TSDN population responded to a substantially larger proportion of the pursuits (up to a median of 23%). This large variation between neurons could be useful if different neurons control different parts of the behavioral output.</span></p>
Dual receptive fields underlying target and wide-field motion sensitivity in looming sensitive descending neurons
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Mosquitoes escape looming threats by actively steering into the bow-wave induced by the attacker
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Loom Weight
A baked clay loom weight. This simple domestic object was a critical part of weaving cloth. Woolen clothes from Britain were highly regarded and weaving would have been carried out at Staines before, during and after the Roman era. This loom weight has a mass of 217g, is 40mm at its thickest point, and 70 x 90 x 45mm along its edges. Each loom weight would be attached to approximately 10 to 20 vertical warp threads, according to the tension required for the cloth being produced. Looms themselves would have been wooden frames, so the loom weight is usually the only record in the archaeology. This object is now part of the education team's handling box. Source: Objaverse 1.0 / Sketchfab
Attouda - Loom 2
Made with [3D ProBox App](http://https://3dprobox.com/) With smart phone - Iphone 11 Source: Objaverse 1.0 / Sketchfab
Diurnal and nocturnal mosquitoes escape looming threats using distinct flight strategies
<p><span>Flying insects have evolved the ability to evade looming objects such as predators and swatting hands. This is particularly relevant for blood-feeding insects like mosquitoes that routinely need to evade defensive actions of their blood-hosts. To minimize the chance of being swatted, a mosquito can use two distinct strategies: continuously exhibit an unpredictable flight path or maximize its escape manoeuvrability. We studied how baseline flight unpredictability and escape manoeuvrability affects the escape performance of day-active and night-active mosquitoes (<i>Aedes aegypti</i> and <i>Anopheles coluzzii</i>, respectively). We used a multi-camera high-speed videography system to track how freely flying mosquitoes respond to an event-triggered rapidly approaching mechanical swatter, in four light conditions ranging from pitch darkness to overcast daylight. Results show that both species exhibit enhanced escape performance in their respective natural light condition (daylight for <i>Aedes</i> and dark for <i>Anopheles</i>). To achieve this, they show strikingly different behaviours. The enhanced escape performance of <i>Anopheles</i> at night is explained by their baseline unpredictable erratic flight behaviour, whereas the increased escape performance of <i>Aedes</i> in overcast daylight is due to their enhanced escape manoeuvres. This shows that both day and night active mosquitoes modify their flight behaviour in function of light intensity such that their escape performance is maximum in their natural blood-feeding light conditions, when these defensive actions by their blood-hosts occur most. Because <i>Aedes</i> and <i>Anopheles</i> mosquitoes are major vectors of several deadly human diseases, this knowledge can be used to optimize vector control methods for these specific species.</span></p>
JC-79-186 Peso de tear / Loom weight
Bloco paralelepipédico, em cerâmica, com um furo de suspensão. Este objeto seria utilizado como peso num tear vertical, para manter em tensão os fios da teia (pendurados verticalmente), por entre os quais se entrelaçavam os fios da trama (horizontais), formando o tecido. São um dos pouco componentes do tear que sobrevive à degradação da estrutura que seria de madeira. ÉPOCA/PERIOD Romana/Roman PROVENIÊNCIA/SOURCE [Santar](https://umap.openstreetmap.fr/en/map/mapa-da-galeria-3d_543623#17/40.56977/-7.89568), Nelas, Viseu ACERVO/COLLECTION Coleção Arqueológica José Coelho, JC-79-186 MEDIDAS/MEASUREMENTS (mm) 133 (max height), 81-54 (max-min width), 60-33(max-min thickness) Source: Objaverse 1.0 / Sketchfab
Loom Weight
Ceramic. Iron Age II. B60.717 *Scanned by Lauren Wyman with the Artec Spider 3D Scanner* Source: Objaverse 1.0 / Sketchfab
Part 2 of break, Tattersall & Holdsworth loom
These parts of the break system of a Tattersall & Holdsworth weaving machine were reverse engineered and adapted by TEN (The Engineering Network). This was a restoration casestudy applied by MIAT (the Museum about Industry, Labour and Textile) and performed during the Flemish heritage project "Duiken in de Machine". The casted parts were recreated using lost-wax casting based on 3D printed parts. Source: Objaverse 1.0 / Sketchfab
JC-79-184 Peso de tear / Loom weight
Bloco paralelepipédico, em cerâmica, com um furo de suspensão. Este objeto seria utilizado como peso num tear vertical, para manter em tensão os fios da teia (pendurados verticalmente), por entre os quais se entrelaçavam os fios da trama (horizontais), formando o tecido. São um dos poucos componentes do tear que sobrevive à degradação da estrutura que seria de madeira. ÉPOCA/PERIOD Romana/Roman PROVENIÊNCIA/SOURCE [Não determinado](https://umap.openstreetmap.fr/en/map/mapa-da-galeria-3d_543623#17/40.56977/-7.89568), Santar (?), Nelas, Viseu ACERVO/COLLECTION Coleção Arqueológica José Coelho, JC-79-184 MEDIDAS/MEASUREMENTS (mm) 125 (max height), 73 (max width), 43 (max thickness) Source: Objaverse 1.0 / Sketchfab
Data from: The complex synaptic pathways onto a looming-detector neuron revealed using serial block-face scanning electron microscopy (SBEM)
<p>The locust's lobula giant movement detector 1 (LGMD1) looming detector pathway is part of the compound eye visual system and enables the animals to reliably detect collisions. Trans-medullary afferent neurons are considered key players in this pathway. Thousands of these neurons connect the second visual neuropile region, or medulla, with the third neuropile region, or lobula complex. In the lobula complex they are in synaptic contact with the LGMD1, which forms a dendritic tree in the outer region of the lobula complex neuropile. In order to describe their anatomy and connectivity patterns with other upstream neurons of the LGMD1, we used serial block-face scanning electron microscopy. We thus produced serial electron micrographs spanning from the dendritic tree in the outer lobula complex to the origin of the trans-medullary afferent neurons in the medulla. Starting from the LGMD1, we segmented and 3D-reconstructed entire trans-medullary afferents, as well as connecting neurons and other trans-medullary neurons nearby. This study was based on two datasets from different locusts of fourth instar. Here we provide the raw data for this study as .tiff stacks.</p>
Data from: The complex synaptic pathways onto a looming-detector neuron revealed using serial block-face scanning electron microscopy (SBEM)
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Diurnal and nocturnal mosquitoes escape looming threats using distinct flight strategies
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Environmental impacts on visual perception modulate behavioral responses of schooling fish to looming predators
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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.
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.