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1,210 results for “Adhesion”
Figure 1 in Phytoplankton Exopolymers Enhance Adhesion of Microplastic Particles to Submersed Surfaces
Figure 1. Cytograms of the cultures of Chaetoceros neogracile (A; data from Long et al., 2017), Rhodomonas salina (B; our data) and Tetraselmis suecica (C; our data) exposed to fluorescent polystyrene microspheres. Gating: MS – microspheres, CHA – Ch. neogracile, H-A – hetero-aggregates of Ch. neogracile and microspheres (according to Long et al., 2017), RHO – Rh. salina, TET – T. suecica.
Figure 2 in Phytoplankton Exopolymers Enhance Adhesion of Microplastic Particles to Submersed Surfaces
Figure 2. General scheme of processes in the experimental and reference (CNL) vessels: Dynamics of Rhodomonas salina (RHO), Tetraselmis suecica (TET) and fluorescent microspheres (MS) in the medium (left plot); Immobilization of MS on slide surface (right plot and photos). Error bars are standard deviations.
Fig. 5 in Phytoplankton Exopolymers Enhance Adhesion of Microplastic Particles to Submersed Surfaces
Fig. 5. Bacterial abundance (N) and a portion of HNA-bacteria in the bacterial consortium (HNA%) in the experimental vessels with Rhodomonas salina (RHO), Tetraselmis suecica (TET) and the reference vessel (CNL) at the final stage of the experiment. Error bars are standard deviations.
Tensile tests on PEEL and LAP hybrid self-pierce riveting joints with and without adhesive
<p>The following repository contains experimental data from tensile tests on PEEL and LAP hybrid self-pierce riveting joints with and without adhesive. The uploaded files are in .xlsx format, and each file reports the time, displacement and force obtained during the experimental tests.</p> <p> </p> <p><strong>NextGenerationEU: National Sustainable Mobility Center CN00000023, Italian Ministry of University and Research Decree n. 1033 - 17/06/2022, Spoke 11 - Innovative Materials & Lightweighting.</strong></p>
◂Fig. 14 Scanning electron micrographs (SEM) showing radular ribbon form, middle adhesive zone (az) and rows of dentition (rd) of Dinaride and Iberian individuals (notation denotes aspects on one Dinaride Zospeum and one Iberozospeum ribbon); (a) Z. exiguum (NMBE 553384), Križna jama, Slovenia (45.7452, 14.4673), long and narrow, tapered anterior end (tae), short adhesive zone (az), bottom furled with narrow obtuse or straight base (nosb); (b) Z. pretneri, (NMBE 553290), Gornja Cerovačka pećina, Croatia (44.2701, 15.8855), ibid., with straight base; (c) I. vasconicum, (AJC 1848), Cueva Ermita de Sandaili (42.9994, -2.4381), moderately long and broad, tapered anterior end (tae), prominent adhesive zone (az), straight base (sb); (d) I. zaldivarae, (AJC 1876), Cueva de Las Paúles (43.1282, -2.7362), ibid.; (e) Iberozospeum sp. (RMNH.MOL. 234,109), Cueva de la Foz, long and broad, ibid; (f) Iberozospeum sp., (RMNH.MOL. 234,144), Cueva de Rales, very long and broad, ibid; (g) Iberozospeum sp., (RMNH.MOL. 234,116), Cueva a Sul, long and broad, ibid; (h) Iberozospeum sp., (RMNH.MOL. 234,108), Cueva de Torcona, very long and broad, ibid. — Magnification varies for each perspective, see scale bars; all Figs imaged by M. Ruppel, (ret.) Goethe University Frankfurt am Main in Molecular investigation and description of Iberozospeum n. gen., including the description of one new species (Eupulmonata, Ellobioidea, Carychiidae)
◂Fig. 14 Scanning electron micrographs (SEM) showing radular ribbon form, middle adhesive zone (az) and rows of dentition (rd) of Dinaride and Iberian individuals (notation denotes aspects on one Dinaride Zospeum and one Iberozospeum ribbon); (a) Z. exiguum (NMBE 553384), Križna jama, Slovenia (45.7452, 14.4673), long and narrow, tapered anterior end (tae), short adhesive zone (az), bottom furled with narrow obtuse or straight base (nosb); (b) Z. pretneri, (NMBE 553290), Gornja Cerovačka pećina, Croatia (44.2701, 15.8855), ibid., with straight base; (c) I. vasconicum, (AJC 1848), Cueva Ermita de Sandaili (42.9994, -2.4381), moderately long and broad, tapered anterior end (tae), prominent adhesive zone (az), straight base (sb); (d) I. zaldivarae, (AJC 1876), Cueva de Las Paúles (43.1282, -2.7362), ibid.; (e) Iberozospeum sp. (RMNH.MOL. 234,109), Cueva de la Foz, long and broad, ibid; (f) Iberozospeum sp., (RMNH.MOL. 234,144), Cueva de Rales, very long and broad, ibid; (g) Iberozospeum sp., (RMNH.MOL. 234,116), Cueva a Sul, long and broad, ibid; (h) Iberozospeum sp., (RMNH.MOL. 234,108), Cueva de Torcona, very long and broad, ibid. — Magnification varies for each perspective, see scale bars; all Figs imaged by M. Ruppel, (ret.) Goethe University Frankfurt am Main
Рис. 7. Варианты преΑсказанной Αоменной структуры моΛекуΛ аΑгезии гемоцитов моΛΛюсков Planorbarius corneus. УсΛовные обозначения и сокращения: 1–3 — β-интегрины, 4–5 — α-интегрины, 6–7 — сеΛектины, 8–11 — моΛекуΛы семейства САМ (сell adhesiom molecues), INB — субъеΑиницы β-интегрина, IntegrinBcyt — цитопΛазматический Αомен β-интегрина, CY — цистатинопоΑобный Αомен, Int alpha — Αомен α-интегрина, FN3 — Αомен фибронектина типа 3, CCP — Αомен контроΛя компΛемента Fig. 7. Variants of the predicted domain structure of adhesion molecules from hemocytes of Planorbarius corneus molluscs. Symbols and abbreviations: 1–3 — β-integrins, 4–5 — α–integrins, 6–7 — selectins, 8–11 — molecules of the СAM family (cell adhesion molecules), INB — β-integrin subunits, IntegrinBcyt — cytoplasmic domain of β-integrin, CY — cystatin-like domain, Int alpha — α-integrin domain, FN3 — fibronectin type 3 domain, CCP — complement control protein domain in Pathogen recognition molecules from hemocytes of Planorbarius corneus molluscs (Planorbidae, Pulmonata)
Рис. 7. Варианты преΑсказанной Αоменной структуры моΛекуΛ аΑгезии гемоцитов моΛΛюсков Planorbarius corneus. УсΛовные обозначения и сокращения: 1–3 — β-интегрины, 4–5 — α-интегрины, 6–7 — сеΛектины, 8–11 — моΛекуΛы семейства САМ (сell adhesiom molecues), INB — субъеΑиницы β-интегрина, IntegrinBcyt — цитопΛазматический Αомен β-интегрина, CY — цистатинопоΑобный Αомен, Int alpha — Αомен α-интегрина, FN3 — Αомен фибронектина типа 3, CCP — Αомен контроΛя компΛемента Fig. 7. Variants of the predicted domain structure of adhesion molecules from hemocytes of Planorbarius corneus molluscs. Symbols and abbreviations: 1–3 — β-integrins, 4–5 — α–integrins, 6–7 — selectins, 8–11 — molecules of the СAM family (cell adhesion molecules), INB — β-integrin subunits, IntegrinBcyt — cytoplasmic domain of β-integrin, CY — cystatin-like domain, Int alpha — α-integrin domain, FN3 — fibronectin type 3 domain, CCP — complement control protein domain
Data for "Bulk and fracture process zone contribution to the rate-dependent adhesion amplification in viscoelastic broad-band materials"
<p>This dataset contains all the data generated for the publication</p> <p>[1] A. Maghami, Q. Wang, M. Tricarico et al., Bulk and fracture process zone contribution to the rate-dependent adhesion amplification in viscoelastic broad-band materials. Journal of the Mechanics and Physics of Solids (2024), doi:<br>https://doi.org/10.1016/j.jmps.2024.105844.</p> <p><br>The provided data are those which appear in the figures of Ref. [1]. Data are stored using informative named structures in a ".mat" file. The data are easily accessible through the Commercial Software MATLAB (© 1994-2023 The MathWorks, Inc.) or by using the free software GNU Octave. An exemplary code for loading and plotting the data contained in "data_Sphere_Viscoelastic_BroadBand.mat" is the following:</p> <p>%%%%%%%%%%%%%</p> <div> <div> <div> <div>clc</div> <div>clearvars</div> <div> </div> <div>close all</div> <div> </div> <div> </div> <div>% Create a new figure</div> <div>load('data_Sphere_Viscoelastic_BroadBand.mat');</div> <div> </div> <div> </div> <div>figure</div> <div> </div> <div>% Choose one of the following names:</div> <div>% Fig_3_a, Fig_3_b, Fig_3_c,</div> <div>% Fig_4, Fig_5_a, Fig_5_b, Fig_5_b_inset,</div> <div>% Fig_6, Fig_6_inset, Fig_7, Fig_7_inset,</div> <div>% Fig_8_a, Fig_8_b, Fig_10_a, Fig_10_b</div> <div> </div> <div>name=Fig_3_a;</div> <div>% Note: some plots in the manuscript are in log space.</div> <div> </div> <div>% Plot the data from the structure</div> <div> </div> <div> </div> <div>for i = 1:numel(name.x) hold on</div> <div> </div> <div>x_cell = name.x(i);</div> <div>y_cell = name.y(i);</div> <div>x = cell2mat(x_cell);</div> <div>y = cell2mat(y_cell);</div> <div> </div> <div>plot(x, y);</div> <div>end</div> <div> </div> <div> </div> <div> </div> </div> %%%%%%%%%%%%%</div> </div> <p>The code can be easily adapted for plotting the curves of all the figures contained in Ref. [1]. </p>
Generic residue numbering of the GAIN domain of adhesion GPCRs
<p>The dataset corresponding to the publication:</p> <ul> <li>Generic residue numbering of the GAIN domain of adhesion GPCRs <div> <div>Florian Seufert, Guillermo Pérez-Hernández, Gáspár Pándy-Szekeres, Ramon Guixà-González, Tobias Langenhan, David E. Gloriam, Peter W. Hildebrand</div> <div>ReasearchSquare</div> <div><a href="https://doi.org/10.21203/rs.3.rs-4761600/v1" rel="nofollow">https://doi.org/10.21203/rs.3.rs-4761600/v1</a></div> </div> </li> </ul> <p>The archive consists of three files:</p> <ul> <li>gaingrn_data.tgz</li> </ul> <p>Contains the underlying data and object structures for the GAIN-GRN creation process and the python package availabe in <a title="repo" href="https://github.com/FloSeu/GAIN-GRN" target="_blank" rel="noopener">https://github.com/FloSeu/GAIN-GRN</a>. This can be downloaded manually and extracted in the respective GAIN-GRN/ directory or automatically retrieved via a dedicated function</p> <ul> <li>agpcr_gains.tgz</li> </ul> <p>Contains the best (rank 1) PDB model of the ColabFold/AlphaFold2 workflow for each adhesion GPCR GAIN domain, named by its UniProt accession number.</p> <ul> <li>pkd_gains.tgz</li> </ul> <p>Contains the best (rank 1) PDB model of the ColabFold/AlphaFold2 workflow for each polycystic kidney disease (PKD1) / PKD1-like 1 protein (PKD1L1) GAIN domain, named by its UniProt accession number.</p>
Comparative analysis of a geometric and an adhesive righting strategy against toppling in inclined hexapedal locomotion
<p>Animals are known to exhibit different walking behaviors in hilly habitats. For instance, cats, rats, squirrels, tree frogs, desert iguana, stick insects and desert ants were observed to lower their body height in traversing slopes, whereas mound-dwelling iguanas and wood ants tend to maintain constant walking kinematics regardless of the slope.</p> <p></p><p>This paper aims to understand and classify these distinct behaviors into two different strategies against toppling for climbing animals by looking into two factors, (i) the torque of the center of gravity (CoG) with respect to the critical tipping axis, and (ii) the torques of the legs, which have the potential to counterbalance the CoG-torque. Our comparative locomotion analysis on level locomotion and inclined locomotion exhibited that primarily only one of the proposed two strategies was chosen for each of our sample species, despite the fact that a combined strategy could have reduced the animal's risk to topple over even more. We found that desert ants of Cataglyphis fortis maintained their upright posture primarily through the adjustment of their CoG-torque (geometric strategy), and wood ants of the Formica rufa species group controlled their posture primarily by exerting leg-torques (adhesive strategy). We further provide hints that the geometric strategy employed by Cataglyphis could increase the risk for slipping on slopes since the leg-impulse substrate angle of Cataglyphis' hind legs were lower compared to Formica's. In contrast, the adhesion strategy employed by Formica's front legs not only decreased the risk for toppling. It also explained the steeper leg-impulse substrate angle of Formica's hind legs which should relate to more bending of the tarsal structures and therefore to more microscopic contact points potentially reducing the risk for hind leg slipping.</p><p></p>
Tracking focal adhesions with TrackMate and Weka - tutorial dataset 1
<p>This folder contains data used to illustrate the utility of Weka detector in TrackMate.</p> <p>- classifier.model: trained Weka classifier.<br> - MDA231 paxillin DMSO 1 min.czi - MDA231 paxillin DMSO 1 min.czi #01_t1_t40_crop.tif: example image.</p> <p>More detail on using these files can be found here: https://imagej.net/plugins/trackmate/trackmate-weka.</p> <p> </p>
A Transparent Elasticized Adhesive Occlusive Compression Bandage for Use as an Arterial Tourniquet
ClinicalTrials.gov study NCT02592655. IPD Sharing: YES. Countries: 1. Publications: 7.
Comparative analysis of a geometric and an adhesive righting strategy against toppling in inclined hexapedal locomotion
Open the record for dataset details and reuse information.
Data from: Correlated evolution between orb weaver glue droplets and supporting fibers maintains their distinct biomechanical roles in adhesion
Open the record for dataset details and reuse information.
Supplemental material to manuscript "Enhancement of adhesives strength of wood-metal joints using atmospheric plasma treatments"
<p>This dataset includes the supplementary information<strong> </strong>related to the manuscript:</p> <p>Authors: Žigon J, Kovač J, Zaplotnik R, Saražin J, Šernek M, Petrič M, Dahle S</p> <p>Title: <strong>Enhancement of adhesives strength of wood-metal joints using atmospheric plasma treatments</strong></p>
Supplemental material to manuscript "Enhancement of strength of adhesive bond between wood and metal using atmospheric plasma treatment"
<p>This dataset includes the supplementary information<strong> </strong>related to the manuscript:</p> <p>Authors: Žigon J, Kovač J, Zaplotnik R, Saražin J, Šernek M, Petrič M, Dahle S</p> <p>Title: <strong>Enhancement of strength of adhesive bond between wood and metal using atmospheric plasma treatment</strong></p>
Supplemental Material to Article "A practical approach for the peel stress prediction in the trailing-edge adhesive joint of wind turbine blades"
<p>This set supplements the figure data to the article "A practical approach for the peel stress prediction in the trailing-edge adhesive joint of wind turbine blades", DOI: .</p>
The cell adhesion molecule Sdk1 shapes assembly of a retinal circuit that detects localized edges
<p>Nearly 50 different mouse retinal ganglion cell (RGC) types sample the visual scene for distinct features. RGC feature selectivity arises from its synapses with a specific subset of amacrine (AC) and bipolar cell (BC) types, but how RGC dendrites arborize and collect input from these specific subsets remains poorly understood. Here we examine the hypothesis that RGCs employ molecular recognition systems to meet this challenge. By combining calcium imaging and type-specific histological stains we define a family of circuits that express the recognition molecule Sidekick 1 (Sdk1) which include a novel RGC type (S1-RGC) that responds to local edges. Genetic and physiological studies revealed that Sdk1 loss selectively disrupts S1-RGC visual responses which result from a loss of excitatory and inhibitory inputs and selective dendritic deficits on this neuron. We conclude that Sdk1 shapes dendrite growth and wiring to help S1-RGCs become feature selective.</p>
Novel Tests of the Key Innovation Hypothesis: Adhesive Toepads in Arboreal Lizards
Abstract The evolution of key innovations—unique features that enable a lineage to interact with the environment in a novel way—may drive broad patterns of adaptive diversity. However, traditional tests of the key innovation hypothesis, those which attempt to identify the evolutionary effect of a purported key innovation by comparing patterns of diversity between lineages with and without the key trait, have been challenged on both conceptual and statistical grounds. Here, we explore alternative, untested hypotheses of the key innovation framework. In lizards, adhesive toepad structures increase grip strength on vertical and smooth surfaces such as tree trunks and leaves and have independently evolved multiple times. As such, toepads have been posited as a key innovation for the evolution of arboreality. Leveraging a habitat use dataset applied to a global phylogeny of 2692 lizard species, we estimated multiple origins of toepads in three major clades and more than 100 origins of arboreality widely across the phylogeny. Our results suggest that toepads arise adaptively in arboreal lineages and are subsequently rarely lost while maintaining arboreal ecologies. Padless lineages transition away from arboreality at a higher rate than those with toepads, and high rates of invasion of arboreal niches by non-arboreal padbearing lineages provides further evidence that toepads may be a key to unlocking evolutionary access to the arboreal zone. Our results and analytical framework provide novel insights to understand and evaluate the ecological and evolutionary consequences of key innovations.
Data from: Adhesive latching and legless leaping in small, worm-like insect larvae
Jumping is often achieved using propulsive legs, yet legless leaping has evolved multiple times. We examined the kinematics, energetics, and morphology of long-distance jumps produced by the legless larvae of gall midges (Asphondylia sp.). They store elastic energy by forming their body into a loop and pressurizing part of their body to form a transient leg. They prevent movement during elastic loading by placing two regions covered with microstructures against each other, which likely serve as a newly-described adhesive latch. Once the latch releases, the transient leg launches the body into the air. Their average takeoff speeds (mean: 0.85 m s-1; range: 0.39-1.27 m s-1) and horizontal travel distances (up to 36 times body length or 121 mm) rival those of legged insect jumpers and their mass specific power density (mean: 910 W kg-1; range: 150-2420 W kg-1) indicates the use of elastic energy storage to launch the jump. Based on the forces reported for other microscale adhesive structures, the adhesive latching surfaces are sufficient to oppose the loading forces prior to jumping. Energetic comparisons of insect larval crawling versus jumping indicate that these jumps are orders of magnitude more efficient than would be possible if the animals had crawled an equivalent distance. These discoveries integrate three vibrant areas in engineering and biology - soft robotics, small, high acceleration systems, and adhesive systems - and point toward a rich, and as-yet untapped area of biological diversity of worm-like, small, legless jumpers.
Dataset of confocal microscopy - Rhamnogalacturonan-II dimerization deficiency impairs the coordination between growth and adhesion maintenance in plants
<p>This contains additional data relative to version 1, corresponding to a new versio of the manuscript. </p> <p>This data set contains confocal images (3D stacks and 2D projections) from propidium iodide stained <em>Arabidopsis thaliana </em>dark grown hypocotyls of various wildtype and mutant plants reported in the study "Rhamnogalacturonan-II dimerization deficiency impairs the coordination between growth and adhesion maintenance in plants" (https://www.biorxiv.org/content/10.1101/2024.11.26.625362v1). Data was acquired following method described in the publication.</p> <p> </p>
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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.
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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
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