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126 results for “impact mechanism”
Manufacturing of Hybrid Overmoulded FRP Components: Impact of Process and Environmental Parameters on the Mechanical Properties
<p>A manufacturing parametric study was carried out on a hybrid part, consisting of two organo sheets and injection moulded rib reinforcements, made out of a short fibre reinforced plastic. The effect of the temperature of all components, the pressure profile throughout the injection moulding process as well as the subsequent storage conditions on the mechanical properties was investigated. For this purpose a total of 96 parts was manufactured with different processing parameter combinations. Afterwards all parts were subjected to a cantilever beam test, analysing initial stiffness, deformation work and peak force. Furthermore a variety of potentially influencing factors such as temperature, humidity, order of testing, transfer durations and many more were tracked.</p> <p>Parameter definition:</p> <ul> <li><strong>part_ID</strong>: Unique part identifier.</li> <li><strong>OS-degradation</strong>: Degradation of the organo-sheet(OS) because of thermal decomposition at temperatures above 260°C. Given as percentage of degraded mass.</li> <li><strong>heating-duration</strong>: Time of heating the OS in seconds.</li> <li><strong>heating_temperature-OS</strong>: Surface temperature of the OS at the end of the heating period in °C.</li> <li><strong>heating_field-temp.</strong>: Temperature of the heating field immediately before the heating process begins in °C.</li> <li><strong>stiffness</strong>: Bending stiffness of the structure in N/mm. Determined from the force-deflection-curve between 50 and 150 N.</li> <li><strong>maximum_force</strong>: Highest force value measured during the cantilever beam test in kN.</li> <li><strong>deflection</strong>: Value corresponding to the maximum force in mm.</li> <li><strong>deformation_work</strong>: Absorbed work due to deformation in kN*mm. Determined by integrating the force-deflection-curve from 5 to 30 mm with a lower bound of 0.05 kN on the force.</li> <li><strong>corrected-x</strong>: Value of x corrected by taking into account the water intake.</li> <li><strong>rib_lengths-x</strong>: Length of the rib in mm (1à5<sup>th</sup>, 2à7<sup>th</sup> , 3à10<sup>th</sup>).</li> <li><strong>sprue_width</strong>: Diameter of the sprue in mm.</li> <li><strong>part_length</strong>: Total part length in mm.</li> <li><strong>mould_filled-x</strong>: Flag indicating whether the mould was filled (indicated by 1) at position x (1àbroad end, 2àmid, 3ànarrow end)</li> <li><strong>rib_length</strong>: Mean of the measured rib lengths in mm.</li> <li><strong>mould_filled</strong>: Mean of the flags for fill state.</li> <li><strong>day_of_testing</strong>: Day on which the part was tested (1,2,3).</li> <li><strong>no._of_test_per_day</strong>: Number of test on the respective day.</li> <li><strong>no._of_test_total</strong>: Number of tests in total.</li> <li><strong>delay_of_transfer</strong>: Duration between removal of the OS from the heating field and begin of the transfer in s.</li> <li><strong>transfer_temp_beg.-x</strong>: Surface temperature in °C of the OS at the beginning of the transfer at position x.</li> <li><strong>transfer_temp_end-x</strong>: Surface temperature in °C of the OS at the end of the transfer at position x.</li> <li><strong>tool_surface_temp.-x</strong>: Surface temperature in °C of the tool at position x.</li> <li><strong>fixing-x</strong>: Flag indicating whether the OS was fixed (indicated by 1) at position x (1àbroad end, 2àmid, 3ànarrow end).</li> <li><strong>fixing</strong>: Mean of the flags for fixing.</li> <li><strong>duration-rapid_traverse</strong>: Duration of the rapid motion phase of the press in s.</li> <li><strong>duration-deformation</strong>: Duration of the motion phase of the press deforming the OS in s.</li> <li><strong>press_profile</strong>: ID for translational velocity of the press (0àslow, 1àfast).</li> <li><strong>duration-closing</strong>: Sum of duration-rapid_traverse and duration-deformation.</li> <li><strong>duration-injection</strong>: Duration of the pure injection process in s.</li> <li><strong>duration-holding_pressure</strong>: Time for which the holding pressure was kept up in s.</li> <li><strong>temp.-cylinder-x</strong>: Mean of the temperature over one cycle at one heating band in °C.</li> <li><strong>temp-hot_runner-x</strong>: Mean of the temperature over one cycle at one heating element in the hot runner in °C.</li> <li><strong>temp.-defl._tool-x</strong>: Mean of the temperature over one cycle in the deflection tool at position x.</li> <li><strong>delay-injection</strong>: Time between the press fully closing and the beginning of injection in s.</li> <li><strong>holding_pressure-beg.-x</strong>: Holding pressure at the beginning of holding and position x in bar.</li> <li><strong>holding_pressure-end-x</strong>: Holding pressure at the ned of holding and position x in bar.</li> <li><strong>duration-form_stability-x</strong>: Time in s between maximum melt pressure and form stability, characterised by a pressure below 75 bar.</li> <li><strong>max.-pressure-melt-x</strong>: Maximum pressure during the injection process at position x in bar.</li> <li><strong>transmission-hold._press.-beg.</strong>: Ratio of pressure signal from the sensor at screw and in tool at beginning of holding.</li> <li><strong>transmission-hold._press.-end</strong>: Ratio of pressure signal from the sensor at screw and in tool at end of holding.</li> <li><strong>cooling_rate-hold._press.-x</strong>: Measured cooling rate at position x during the holding phase in °C/s.</li> <li><strong>cooling_rate-cooling-x</strong>: Measured cooling rate at position x during the cooling phase in °C/s.</li> <li><strong>tool-temp.-x</strong>: Measured tool temperature at position x in °C.</li> <li><strong>max.-melt-temp-x</strong>: Highest measured melt temperature at position x in °C.</li> <li><strong>demoulding-temp.-x</strong>: Measured tool temperature at position x at demoulding in °C.</li> <li><strong>storage-standard_atmosphere</strong>: Storage duration at standard atmosphere in h.</li> <li><strong>absoprtion_water-std.atm.</strong>: Water absorption during the storage at standard atmosphere in g.</li> <li><strong>absoprtion_water-climate_chamber.</strong>: Water absorption during the storage in the climate chamber in g.</li> <li><strong>storage-climate_chamber</strong>: Storage duration in climate chamber in h.</li> <li><strong>vert._position-climate_chamber</strong>: Vertical position in the climate chamber in cm.</li> <li><strong>air-temp.</strong>: Air temperature during manufacturing in °C.</li> <li><strong>air-rel._humidity</strong>: Relative humidity during manufacturing in %.</li> <li><strong>no.-production-day</strong>: Consecutive number indicating parts manufactured before the respective part.</li> <li><strong>factor_level</strong>: Factor level in the DOE.</li> <li><strong>prod.-date</strong>: Date of production.</li> <li><strong>prod-time</strong>: Time of production in CEST.</li> <li><strong>batch_number</strong>: ID in which batch the part was manufactured.</li> </ul>
Data for Quantifying the Impact of Parametric Uncertainty on Automatic Mechanism Generation for CO2 Hydrogenation on Ni(111)
<p>Data, scripts, and all generated mechanisms for the preprint and article "Quantifying the Impact of Parametric Uncertainty on Automatic Mechanism Generation for CO<sub>2</sub> Hydrogenation on Ni(111)"</p>
Data from: Quantifying and linking mechanism scenarios to invasive species impact
<p>Plant species invasion represents one of the major drivers of biodiversity change globally, yet there is confusion about the nature of non-indigenous species (NIS) impact. This stems from differing notions of what constitutes invasive species impact and the scales at which it should be assessed. At local scales, the mechanisms of impact on local competitors can be classified into four scenarios: 1) minimal impact from NIS inhabiting unique niches; 2) neutral impact spread across the community and proportional to NIS abundance; 3) targeted impact on a small number of competitors with overlapping niches; and 4) pervasive impact that is disproportionate to NIS abundance and caused by modifications that filter out other species. I developed a statistical test to distinguish these four mechanism scenarios based on plant community rank-abundance curves and then created a scale-independent standardized impact score. Using an example long-term dataset, that has high native plant diversity and an abundance gradient of the invasive vine, <em>Vincetoxicum rossicum</em>, I show that impact resulted in either targeted or pervasive extirpations. Regardless of whether NIS impact is neutral, targeted, or pervasive, the net outcome will be the homogenization of ecosystems and reduced biodiversity at larger scales, perhaps reducing ecosystem resilience. The framework and statistical evaluation of impact presented in this paper provide researchers and managers with an objective approach to quantifying NIS impact and prioritizing species for further management actions.</p>
Data from: Assessing the mechanisms and impacts of shrub invasion in forests: A meta-analysis
<ol> <li>The encroachment of invasive shrubs in forest understories can have detrimental effects on native plant recruitment. As a result, removal of invasive species is a common practice although long-lasting success is rare. In order to effectively conserve and manage invaded forests, it is crucial to understand the mechanisms that drive shrub invasion, i.e., high propagule pressure, low native resistance, and exploitation of empty niches.</li> <li>To gain a deeper understanding of the invasion process in forest ecosystems we conducted a meta-analysis of the work done in this topic. We collected data on invasive species and native community performance and on the abiotic conditions of forest understories under low and high levels of shrub invasion. We analyzed data from 124 articles that yielded 377 unique observations.</li> <li>Our results revealed that while invader performance did not vary by the mechanism of invasion, the impact on the native community was significantly detrimental when invasion occurred via low biotic resistance, and only marginally significant via propagule pressure. Invasive species performance was associated with increases in light availability, but not with other resources (soil water, or nutrients). When assessing impact on native performance as a function of invasive performance, results were again only significant under the low biotic resistance mechanism. Lastly, impacts were stronger when invasion took place by a single invader.</li> <li> <em>Synthesis and applications</em>: Taken together, these results suggest that restoration efforts should focus on (i) increasing the presence of strong native competitors or functionally diverse native communities, (ii) decreasing sources of invasive shrub propagules while keeping the canopies closed when invasion occurs via high propagule pressure, (iii) avoiding management techniques that degrade or diminish canopy cover, and (iv) prioritizing management of forest understories dominated by particularly impactful invasive shrubs.</li> </ol>
Data from: Assessing the mechanisms and impacts of shrub invasion in forests: A meta-analysis
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Data from: Quantifying and linking mechanism scenarios to invasive species impact
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Impact of intercept trap type on plume structure: a potential mechanism for differential performance of intercept trap designs for Monochamus species
<p>Studies have demonstrated that semiochemical-baited intercept traps differ in their performance for sampling insects, but we have an incomplete understanding of how and why intercept trap design effects vary among insects. This can significantly delay both the development of new and optimization of existing survey and detection tools. The development of a mechanistic understanding of why trap performance varies within and among species would mitigate this delay. The primary objective of this study was to develop methods to characterize and compare the odor plumes associated with intercept traps that differ in their performance for forest Coleoptera. We released CO<sub>2</sub> and measured fluctuations of this tracer gas from 175-point locations arranged in a 2-by-3-by-2-m grid cuboid downwind of a standard multiple-funnel, a modified multiple-funnel, a panel, a canopy malaise trap, and a blank control (i.e., no trap) in a greenhouse. Significant differences in trapping efficacy between these different trap designs were observed for <i>Monochamus scutellatus</i> (Say) and <i>Monochamus notatus</i> (Drury) in a field trial. Significant differences were also observed in how CO<sub>2</sub> accumulated in time at different positions downwind among these different trap designs. Turbulent dispersion is the dominant force structuring odor plumes and creates intermittency in the odor plume that is important for sustained upwind flight in insects. Methodological and instrumental limitations resulted in the inability to determine instantaneous plume structures and vortex shedding frequencies for different intercept trap designs. Although we observed differences in the odor plumes emanating downwind of the different intercept trap designs, we were unable to reconcile these differences with capture rates of the different trap designs for <i>M. scutellatus</i> and <i>M. notatus</i>.</p>
Mechanism For Perching On Smooth Surfaces Using Aerial Impacts
<p><strong>For many applications the battery life is the limiting factor for a UAV. Perching on the environment extends the operating time of the drone, which can be useful in applications such as surveillance (temporary security measures) and maintenance, and can provide additional stability for precise manipulation and reparation tasks. However, on smooth surfaces, such as glass or the surface of the blades of a wind-turbine, perching is challenging, as the surface should not be damaged.</strong></p> <p> </p> <p><strong>This video shows an experiment in which a drone perches on a smooth surface. A drone is presented with a manipulator that consists of three beams in a triangle structure, with a vacuum-cup on the end of the middle beam.The drone impacts the environment, which ensures sufficient vacuum in the vacuum-cup and a proper perch. Then the drone can be turned off. After a small period the drone is enabled again and takes off. Note that the procedure is performed by a person using an user-interface, while the drone is controlled with position and orientation controllers. </strong></p> <p><br> <strong>Note that this work is an application based on the knowledge gained from the work “Compliant Aerial Manipulators: Developing the New Generation of Aerial Robotic Workers”. The work has been extended to automate the perch and actively maintain the vacuum-level in the perched state in the work “Autonomous And Sustained Perching On Smooth Surfaces”.</strong></p>
Data for manuscript "Mechanisms and Impacts of a Partial AMOC Recovery Under Enhanced Freshwater Forcing"
<p><strong>Data repository for manuscript "Mechanisms and Impacts of a Partial AMOC Recovery Under Enhanced Freshwater Forcing"</strong></p> <p>Here we describe the data stored in this archive, which has been used for the manuscript "Mechanisms and Impacts of a Partial AMOC Recovery Under Enhanced Freshwater Forcing", submitted to Geophysical Research Letters. This data archive includes two primary folders, one containing the CESM data and one containing the 2D model data. Within each of those folders are appropriately titled subfolders for the different model simulations and variables, in accordance with the descriptions provided in the manuscript. The following provides a description of the data within each folder: </p> <p><br> ----------------------------------------<br> ------------- CESM DATA --------------<br> ----------------------------------------<br> The CESM data folder has been split into four subfolders, one for each simulation: Control simulation (CESM_controlrun), 0.1 Sv freshwater flux simulation (CESM_0pt1Sv_FWFrun), the longer repeat of the 0.1 Sv freshwater flux simulation (CESM_0pt1Sv_FWFrun_repeat), and the 0.15 Sv freshwater flux simulation (CESM_0pt15Sv_FWFrun). Within each of these can be found folders for each of the 6 variables we have used: 4D temperature fields (TEMP), 4D salinity fields (SALT), 4D potential density fields (PD), 3D MOC fields (MOC), 3D mixed layer depth fields (HMXL), and 2D meridional heat transport fields (N_HEAT). Each CESM data file (one per monthly time step) is saved in netcdf format (.nc4), containing all appropriate dimensional data and descriptive meta data. Note that only the data used in the manuscript has been stored (e.g. only MOC data is provided for the CESM_0pt15Sv_FWFrun, while all fields have been provided for the CESM_0pt1Sv_FWFrun). </p> <p>----------------------------------------<br> ------------ 2D MODEL DATA -----------<br> ----------------------------------------<br> As described in the manuscript, the 2D model has been run using various choices of input parameter and freshwater flux. For each selection of parameter choice a new control run is first required, from which a set of experiments is then initiated. The 2D model data folder therefore contains 2 main subfolders, one containing the control run data for each of set of parameter choices (control_runs),and one containing the freshwater perturbation experiments for each set of parameter choices (fwp_change_exps). Within those, each control and experiment folder is titled according to the choices of vertical viscosity (kvd), Southern Ocean wind stress perturbation (txp), and the freshwater perturbation (fwp); when absent from the title, the default value for that variable is used (i.e. kvd=1e4 m2/s; txp=0.2 N/m2). The naming convention for the Southern Ocean wind stress is minpt07 for 0.13 N/m2 (i.e. minus 0.07) and pt07 for 0.27 N/m2. </p> <p>Model output data has been provided in ascii format for: the 2D Eulerian AMOC fields (MOC_EUL.dat.dat), 2D Quasi-Lagrangian fields (MOC_QLag.dat), 2D Salinity fields (salt2D.dat), 2D temperature fields (temp2d.dat), 2D density fields (rho.dat), the latitude values (ytdeg.dat; ydeg.dat) and depth values (zt.dat, zw.dat), and the timeseries values for a number of variables (timeseries.dat): The timeseries.dat data has 19 columns, of which the first 13 are useful: </p> <p> column: description:<br> 1 time (year)<br> 2 mean basin temperature (deg.C)<br> 3 mean basin salinity (psu)<br> 4 mean basin density (kg/m3) <br> 5 kinetic energy (KE) density<br> 6 potential energy (PE)<br> 7 mean surface heat flux<br> 8 mean surface salinity flux<br> 9 minimum meridional overturning streamfunction (Sv)<br> 10 maximum meridional overturning streamfunction (Sv)<br> 11 minimum advective poleward heat transport (PW)<br> 12 maximum advective poleward heat transport (PW)<br> 13 MOC (Sv) = max(psi) in the north Atlantic</p> <p>The final subfolder in the 2D model directory is titled 'additional_data': The first folder contains the snapshot data (fwp025_snapshots; one subfolder for each snapshot) for the experiment run with 25 cm/s freshwater flux as shown in Fig. S6, in which the data is stored in the same format as described above. The second folder contains the tendency terms as shown in Fig. S7 (fwp025_tendency; one subfolder per tendency term for each of the control and 25 cm/s freshwater flux experiment), in which the data is provided in ascii format for the 2D tendency term and the depth and latitude values. </p>
Impact of chronic and massive resuspension mechanisms on the microphytobenthos dynamics in a temperate intertidal mudflat
<p><em>In situ</em> data along with input/output files and code of the model used in the manuscript by Savelli et al. submitted to Journal of Geophysical Research: Biogeosciences</p> <p>Savelli, R., Bertin, X., Orvain, F., Gernez, P., Dalle, A., Coulombier, T., Pineau, P., Lachaussée, N., Polsenaere, P., Dupuy, D., Le Fouest, V., submitted. Impact of chronic and massive resuspension mechanisms on the microphytobenthos dynamics in a temperate intertidal mudflat. <em>Journal of Geophysical Research: Biogeosciences</em></p> <p>See the readme.txt file for explicit details on the repository.</p>
Data for: Causal mechanisms for negative impacts of energy development inform management triggers for sagebrush birds
<p>Estimated population trends can identify declining species to focus biological conservation, but monitoring may fail to illuminate causes of population change and strategies for reversing declines. Monitoring programs can relate trends with environmental attributes to test causal hypotheses, but typical analytical approaches do not explicitly support causal inference, diluting available data for informing conservation. The U.S. Bureau of Land Management (BLM) extended Integrated Monitoring in Bird Conservation Regions with a quasi-experimental sampling design over a 10-year period (2010–2019) to evaluate impacts of oil and gas development on sagebrush birds within the Atlantic Rim Natural Gas Development Project in southern Wyoming. We analyzed resulting data using a multi-scale community occupancy model to estimate trends in species occupancy and richness relevant to management triggers. Additionally, we employed path analysis to evaluate mechanisms underlying observed trends to inform potential management responses. Fine-scale occupancy for sage thrasher (<em>Oreoscoptes montanus</em>) declined within the high-development stratum at a rate sufficient to meet an<em> a priori</em> management trigger established by the BLM. Two additional sagebrush-associated species, Brewer's (<em>Spizella breweri</em>) and sagebrush sparrow (<em>Artemisiospiza nevadensis</em>), exhibited negative development relationships with trend, as did overall species richness, and richness of grassland, sagebrush, and generalist guilds. We identified well pad density and invasive plants associated with energy development as causal factors contributing to these negative development impacts. We demonstrate an analytical approach for both estimating occupancy trends and identifying underlying causes to inform conservation action. Reducing the development footprint, including well pad density and associated invasive plants, could help reduce or limit impacts on birds within this landscape.</p>
Impact of SPN on Infection Rate, Duration of Mechanical Ventilation & Rehabilitation in ICU Patients
ClinicalTrials.gov study NCT00802503. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Impact of Early Enteral vs. Parenteral Nutrition on Mortality in Patients Requiring Mechanical Ventilation and Catecholamines
ClinicalTrials.gov study NCT01802099. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Study of Long-term Efficacy and Mechanisms Underlying the Impact of a Web-based Sexual and Relationship Health Promotion Program With Young Adult Community College Students
ClinicalTrials.gov study NCT04950686. IPD Sharing: NO. Countries: 1. Publications: 0.
Putative resistance and tolerance mechanisms have little impact on disease progression for an emerging salamander pathogen
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Contrasting ecological mechanisms mediate the impact of land conversion on ecosystem multifunctionality
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Impact of intercept trap type on plume structure: a potential mechanism for differential performance of intercept trap designs for Monochamus species
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Data for: Causal mechanisms for negative impacts of energy development inform management triggers for sagebrush birds
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Microstructure evolution of hydrate-bearing sands during thermal dissociation and ensued impacts on the mechanical and seepage characteristics
<p>This supporting information includes a figure S1 and four movies S1-S4, providing a raw CT image for the reader to analyze the grey value distribution, and animations of hydrate dissociation process and shear deformations in the main article.</p> <p> </p> <p>Figure S1 is uploaded with file name Figure S1-the No.476.cb. Detailed information includes the grey value distribution for the CT image.</p> <p>Movie S1 is uploaded with file name Movie S1. gif. Detailed information includes vertical-sectional view of a specimen during the decomposition process.</p> <p>Movie S2 is uploaded with file name Movie S2. gif. Detailed information includes longitudinal cross-sectional X-ray CT images of #T-1 specimen during shear deformation.</p> <p>Movie S3 is uploaded with file name Movie S3. gif. Detailed information includes longitudinal cross-sectional X-ray CT images of #T-2 specimen during shear deformation.</p> <p>Movie S4 is uploaded with file name Movie S4. gif. Detailed information includes longitudinal cross-sectional X-ray CT images of #T-3specimen during shear deformation.</p>
An invasive grass species has both local and broad-scale impacts on diversity: Potential mechanisms and implications
<p>Questions</p> <p>The impact of invasive plant species on native diversity varies with spatial scale, with some invaders leading to broad-scale diversity declines and others only local declines. These discrepancies may reflect the invaders capacity to reduce niche opportunities across spatial scales which can be associated with their functional traits. We investigated impact-scale relationships and trait-based mechanisms, in areas invaded by the exotic perennial grass species, <i>Bothriochloa pertusa</i>. We examine root traits specifically, as belowground competition was considered particularly important to the success of this species.</p> <p>Location</p> <p>Grassy 'ironbark' woodlands of eastern Queensland, Australia</p> <p>Methods</p> <p>We examined plots with varying degrees of invasion by <i>B. pertusa,</i> at multiple spatial scales (up to 1000 m<sup>2</sup>) and analysed changes to the species area relationships (SARs) with increasing invader cover. Changes to SARs were assessed in relation to the invaders effect on rare (low-patch-occupancy) and common species in the community. In a separate analysis within the same habitat we collected root cores across a gradient of invader cover and analysed changes to community root traits that were considered important correlates of competition for space and nutrients.</p> <p>Results</p> <p>Invasion-induced reductions in diversity were pervasive at all scales investigated, and this was associated with a proportionally greater effect on rare species in the community. In the separate root analysis, changes in community root traits with increasing invader cover were potentially indicative of more intense competition for resources rather than space.</p> <p>Conclusions</p> <p>The observed regional-scale dominance of <i>B. pertusa</i> and associated declines in diversity warrant serious concern for the conservation of native plant communities and species in a region already at risk from other anthropogenic threats. Intense competition for belowground resources is likely a contributing mechanism to the success of <i>B. pertusa</i> in this study system. Experimental examination of this and other mechanisms would help to validate these findings.</p>
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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.