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10,561 results for “mechanics”
Monostand formation mechanisms of Heraсleum sosnowskyi
<p>The file "Dalke_Data.zip" contains datasets in MS Excel format used in the preparation of manuscript "Monostand formation mechanisms of <em>Heraсleum sosnowskyi</em>". The manuscript was sent to PLoS One.</p>
Comparison of Friction Properties Among Diverse Conventional-Ligating Lingual Bracket Systems According To Tooth Displacement During Leveling And Alignment: An In Vitro Mechanical Study
<p>The purpose of this study was to evaluate the effects of tooth displacement on frictional force when conventional-ligating lingual brackets (CL-LB), CL-LBs with narrow bracket width and customized CL-LBs were used with leveling/alignment wire. </p> <p>CL-LBs (7<sup>th</sup>Generation), CL-LBs with narrow bracket width (STb) and customized CL-LBs (Incognito) were tested under three conditions of tooth displacement [no displacement (control); 1mm palatal displacement (PD) of the maxillary right lateral incisor (MXLI); and 1mm gingival displacement (GD) of the maxillary right canine (MXC)](9 groups, <em>n</em>=6 per group). Static (SFF) and kinetic frictional forces (KFF) were measured in a stereolithographic typodont system and artificial saliva while drawing a 0.016-inch copper or super-elastic nickel-titanium archwire at a speed of 0.5 mm/min for 5 minutes at 36.5°C.</p>
Scheduling success ratios and computational cost of the mechanism
<p>The .xls spreadsheet contains scheduling success ratios and computational cost of the mechanism related to the publication "Seeking Time-Composable Partitions of Tasks for COTS Multicore Processors".</p>
A common mechanism for perceptual reversals in motion-induced blindness, the Troxler effect and perceptual filling-in
<p>This is a www.zenodo.org data upload for publication:</p> <p>Devyatko, Appelbaum and Mitroff (2016) A common mechanism for perceptual reversals in motion-induced blindness, the Troxler effect and perceptual filling-in. Perception. </p>
Development of predictive models of the kinetics of a hydrogen abstraction reaction combining quantum-mechanical calculations and experimental data
<p>The files contain the electronic structure calculations for all the levels of theory tested in this work.</p>
Data and code for figures in "A dissipative quantum reservoir for microwave light using a mechanical oscillator"
<p>Data and code used to produce the figures in "A dissipative quantum reservoir for microwave light using a mechanical oscillator".</p> <p>The code is tested with Python 2.7.10, Matplotlib 2.0.0b4, Scipy 0.18.0.</p>
Data set for manuscript 'A universal poroelastic mechanism for hydraulic signals in biomimetic and natural branches'
<p>The zip file contains all raw data associated with the manuscript 'A universal poroelastic mechanism for hydraulic signals in biomimetic and natural branches' with Python files used to process the data and plot the figures of the manuscript.</p>
Hardware of the robot RiBot V2.0 (Mechanics and Electronics)
<p>The RiBot is an actuated robotic fish-lure that was designed to study the behavior of zebrafish. The design was based on the scan of a real zebrafish to produce the electronic boards and mechanics at the right scale. The robot can be controlled using Infrared RC5 signals and can beat its tail with different range of frequencies and amplitudes.</p> <p>The electronics was designed using the software Altium designer and the mechanics using CREO 3. The step file of the mechanics can be open by other types of CAD software. The firmware of the RiBot to program the electronics is described in:</p> <p>https://zenodo.org/record/830181#.WXtAIYTyipo</p> <p>The design of the lure is presented in detail in the following publication:</p> <p>F. Bonnet, N. Crot, D. Burnier and F. Mondada. Design Methods for Miniature Underwater Soft Robots. 6th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob 2016), Singapore, Proceedings of the IEEE RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2016.</p> <p> </p> <p> </p>
Mechanical stimulation prevents impairment of axon growth and overcompensates microtubules destabilization in cellular models of Alzheimer's disease related Tau pathology
<p>Data and metadata associated to a publication 10.3389/fmed.2025.1519628</p>
WACCM-X simulated data for Wu et al. (2023) "Investigation of the physical mechanisms of the formation and evolution of equatorial plasma bubbles during a moderate storm on September 17, 2021"
<p>This dataset contains all the data related to WACCM-X simulated result figures in article "Investigation of the physical mechanisms of the formation and evolution of equatorial plasma bubbles during a moderate storm on September 17, 2021". The data includes simulated hmF2 data over the equatorial region for September 17th, 2021, during 18-23UT, from WACCM-X simulations; RTI data at 250-400km altitude for September 16th and 17th, 2021, obtained from WACCM-X simulated results during 18-23UT; Individual integrated components data of the RTI calculation at 350km altitude for September 16th and 17th, 2021, during 18-23UT, derived from WACCM-X simulations; Total zonal electric fields, PPEF zonal electric fields, Total vertical plasma drifts, and PPEF vertical plasma drifts data for September 16th to 17th, 2021 at 0 longitude between 40°S and 40°N latitude, spanning 0-24UT, from WACCM-X simulations.</p>
WACCM-X simulated data for Wu et al.'s paper on "The Formation Mechanism of Merged EIA during a Storm on November 4, 2021"
This dataset contains all the data related to WACCM-X simulated result figure in paper "The Formation Mechanism of Merged EIA during a Storm on November 4, 2021". The data includes simulated NMF2 at 0° longitude (40°S - 40°N latitude), between 9UT and 24UT on November 3rd and 4th; electron density, WI, V, d(O+)/dt, d(O+)(chem), d(O+)(ExB), d(O+)(wind), and d(O+)(ambi) at 0° longitude (40°S - 40°N latitude) between 100-500 km from 9UT to 24UT on November 3rd and 4th.
Replication package for the paper :The Relationship Between Different Python Argument-Passing Mechanisms and Fixes: An Empirical Study
<p><strong>Abstract:</strong></p> <p>Modern programming languages, such as Python, have introduced a variety of constructs and syntactical elements to make software development more efficient and concise. Examples include lambda functions, comprehension collections, or mechanisms to facilitate the passing of arguments to a function. While many of such constructs may, in principle, be beneficial for developers, recent studies have shown that certain programming constructs may affect program understanding and even induce more fixes than other changes. <br>This paper studies the effect of different Python argument-passing mechanisms to investigate their relationship with code proneness to be fixed. Specifically, we study the fix-proneness for what concerns function definitions and invocations. This is done by analyzing the evolutionary history of 200 Python projects, for a total of about 3M functions and 12M call sites. While there are varying effects for what concerns parameter declaration mechanisms, we found evidence that keyword-based argument passing is less defect-prone than positional argument passing, and this is not affected by size-related confounding factors.</p>
Learning to resist distraction by spatially predictable luminance transients and color singletons: same or different mechanisms?
<p>The file contains the dataset related to the paper entitled "Learning to resist distraction by spatially predictable luminance transients and color singletons: same or different mechanisms?" to appear in Visual Cognition.</p><p>The folder contains a text file named README.txt that contains the explanation of the folder and file structure.</p>
A Possible Mechanism for "Late Phase" in Stellar White-Light Flares
<p>This is the simulation data used for the paper "A Possible Mechanism for 'Late Phase' in Stellar White-Light Flares" that was accepted for publication on ApJ.</p>
Gigantic animal cells suggest organellar scaling mechanisms across a 50-fold range in cell volume
<p>Across the tree of life, cell size varies by orders of magnitude, and organelles scale to maintain cell function. Depending on their shape, organelles can scale by increasing volume, length, or number. Scaling may also reflect demands placed on organelles by increased cell size. The 8,653 species of amphibians exhibit diverse cell sizes, providing a powerful system to investigate organellar scaling. Using transmission electron microscopy and stereology, we analyzed three frog and salamander species whose enterocyte cell volumes range from 228 to 10,593 μm3. We show that the nucleus increases in radius while the mitochondria increase in total network length; the endoplasmic reticulum and Golgi apparatus, with their complex shapes, are intermediate. Notably, all four organelles increase in volume proportionate to cell volume. This pattern suggests that protein concentrations are the same across amphibian species that differ 50-fold in cell size, and that organellar building blocks are incorporated into more or larger organelles following the same "rules" across cell sizes, despite variation in metabolic and transport demands. This conclusion contradicts results from experimental cell size increases, which produce severe proteome dilution. We hypothesize that salamanders have evolved the biosynthetic capacity to maintain a functional proteome despite a huge cell volume. </p>
Optimal mechanical interactions direct multicellular network formation on elastic substrates
<p>Cells self-organize into functional, ordered structures during tissue morphogenesis, a process that is evocative of colloidal self-assembly into engineered soft materials. Understanding how intercellular mechanical interactions may drive the formation of ordered and functional multicellular structures is important in developmental biology and tissue engineering. Here, by combining an agent-based model for contractile cells on elastic substrates with endothelial cell culture experiments, we show that substrate deformation–mediated mechanical interactions between cells can cluster and align them into branched networks. Motivated by the structure and function of vasculogenic networks, we predict how measures of network connectivity like percolation probability and fractal dimension as well as local morphological features including junctions, branches, and rings depend on cell contractility and density and on substrate elastic properties including stiffness and compressibility. We predict and confirm with experiments that cell network formation is substrate stiffness dependent, being optimal at intermediate stiffness. We also show the agreement between experimental data and predicted cell cluster types by mapping a combined phase diagram in cell density substrate stiffness. Overall, we show that long-range, mechanical interactions provide an optimal and general strategy for multicellular self-organization, leading to more robust and efficient realizations of space-spanning networks than through just local intercellular interactions.</p>
Drivers and mechanisms that contribute to microbial β-diversity patterns and range sizes in mountains across a climatic variability gradient
<p>Microbial communities are highly diverse, yet the mechanisms underlying microbial community assembly are not well understood. Janzen's mountain passes hypothesis proposed that climatic barriers and dispersal limitation shape communities to a greater extent in mountains with lower climatic variability and overlap, permitting higher levels of species coexistence. Here, we investigate changes in microbial community dissimilarities, distributional range sizes and ecological processes along elevational gradients in three montane ecosystems representing a climatic variability gradient. We found that climate, climatic variability and spatial distance play dominating roles in affecting microbial β-diversity patterns and range sizes along elevational gradients. Janzen's mountain passes hypothesis can be applied for microbial community assembly: mountains with lower climatic variability and higher climatic difference between elevations exhibited higher β-diversity, higher endemism, lower range sizes, and steeper distance-decay trends. However, microbial communities experience clear climate-driven limited range sizes and dispersal processes and show typical endemic patterns in all mountain ecosystems. Our results emphasize the importance of dispersal and climatic niche processes in shaping montane biodiversity. As a result, changes in climate may significantly impact soil biodiversity in montane ecosystems by altering the effects of dispersal limitation and climatic variability on bacterial and fungal community composition along elevational gradients.</p>
Accompanying data for "The Response of Tropical Rainfall to Idealized Small-Scale Thermal and Mechanical Forcing", by Martin Velez-Pardo and Timothy W. Cronin
<p>Data accompanying the manuscript "The Response of Tropical Rainfall to Idealized Small-Scale Thermal and Mechanical Forcing", by Martin Velez-Pardo and Timothy W. Cronin.</p>
Data from: A pioneering experimental investigation of a novel in-situ dynamic characterization of the tensile/compression stress-strain mechanism on human plantar soft tissue
<p><span>We have conducted the first in-situ and in-vivo dynamic mechanical test on human plantar soft tissue. A dynamic mechanical analysis (DMA)-like device has been invented to perform the in-situ and in-vivo stress-strain tests on living plantar in order to characterize the material mechanism of biological soft tissue, whereas it is nearly impossible to prepare a sample from a living body for classical tests. A series of pioneering tests of tensile/compression on the heel of ten volunteers are reported, with the reference of tests on mimic foot model made by silicon rubber, standard silicon rubber brick sample, and finite elementary analysis. In addition to demonstrating the effectiveness of the device and approach, interesting correlations between the results and clinic data were found, suggesting considerable potential for the invention in future research.</span></p>
Raw data and Matlab code for: Convergence in carnivorous pitcher plants reveals a mechanism for composite trait evolution
<p>Composite traits involve multiple components that, only when combined, gain a new synergistic function. Thus, how they evolve remains a puzzle. We combined field experiments, microscopy, chemical analyses and laser Doppler vibrometry with comparative phylogenetic analyses to show that two carnivorous <em>Nepenthes</em> pitcher plant species convergently evolved identical adaptations in three distinct traits to acquire a new, composite trapping mechanism. Comparative analyses suggest that this new trait arose convergently via 'spontaneous coincidence' of the required trait combination, rather than directional selection in the component traits. Our results indicate a plausible mechanism for composite trait evolution and highlight the importance of stochastic phenotypic variation as a facilitator of evolutionary novelty.</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.
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.