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306 results for “prototypes”
This is a prototype to understand zenodo
<p>Hello</p>
Assessment of the data assimilation framework for the prototype Rapid Refresh Forecast System and impacts on forecasts of convective storms
<p>The compressed file contains the data and scripts necessary for the numerical experiments conducted in this research and the processing and visualization of the results. It includes the namelist files used for the model when using cold and warm start, the analyses in each experiment, and the grid, topography and surface climatology along with the model configuration file, the file used in the analyses to read the horizontal and vertical scales from an external file, all scripts used to execute every task of the workflow, all scripts used to process model outputs with MET, as well as all scripts and data used to create all figures of the paper.</p>
Predicting readers' prototypical eye-movement behavior using MASC, a model of Attention in the Superior Colliculus: Stimulus materials, model code, data, and statistical analyses.
<p>The goal of the present research was to determine the role of rudimentary visuo-motor pathways, from the retina and the primary visual cortex to the superior colliculus (SC), in the guidance of human eye movement during reading. To this end, we used MASC, our model of Attention in the Superior Colliculus (Adeli et al., Journal of Neuroscience 2017), a model that relies on well-established saccade-programming principles in the SC. MASC predicts sequences of fixations over an input image by spatially integrating incoming signals in the space of the SC.</p> <p>Here, MASC computed the distribution of luminance contrast over sentences' images (visual-saliency map), after blurring it proportional to retinal eccentricity (retina transformation). It then projected the visual-saliency map into SC space, using a logarithmic afferent-mapping function (magnification factor). Input signals were averaged over retinotopically organized populations of neurons (point images) of constant size, first in the visual map and then in a spatially-registered motor map. The most active population was identified through a winner-take-all process. After jitter applied to the winning population, the next fixation location was determined using inverse efferent mapping. This sequence of events was then repeated to predict following fixation locations, but inserting after each saccade an inhibitory spatial tag (Inhibition of Saccade Return; ISR -referred to as IOR in the uploaded files). All MASC's parameters, but one, were biologically determined, using electrophysiological data in macaque; the ISR window was the one fit parameter.</p> <p>MASC was tested by comparing its predicted sequences of fixations over sentences from the French-Sentence Corpus (FSC) to the eye-movement behavior of 40 French-native speakers reading the same sentences for comprehension (Albrengues et al., Plos One 2019). Then, MASC was dissected to determine the crucial processing steps enabling prediction of human behavior (10 comparison models -see the general README file). Finally, to address crucial issues in the reading literature, i.e., the role of inter-word spacing and character print size in eye-movement guidance, MASC was additionally tested in four additional display conditions: the same sentences from the FSC, but with blank spaces between words being either filled or removed, or with the screen width angle being multiplied by 2 or 4, such that characters were larger in angular size (0.5° and 1°) than in the original experiment (0.25°). MASC's predicted effects of inter-word spacing and print size were compared to previously published data.</p> <p>All material relevant to the project is reported here, including the FSC materials (bitmap and information text files), the Matlab code for our MASC model, raw simulation data for MASC and all our comparison models, as well as MASC's simulations in the different display conditions, the scripts we developed in R to transform raw simulation data into data matrices for statistical analyses of (word-based) eye-movement behavior, the resulting data matrices for all models as well as the data matrix for FSC readers, the R-scripts for statistical comparison of oculomotor behavior between data sets and conditions, literature-review tables of previously published data (for comparison with MASC's predictions), and the R-scripts generating the figures summarizing our results.</p> <p>Further information can be found in the general README file as well as in the README files attached to each folder. The authors' respective contributions to the project, the licence attached to the included materials and their condition of use are listed in the general README file.</p> <p>A manuscript reporting and discussing these modeling data is in preparation (Vitu, F., Adeli, H. & Zelinsky, G. J.); A reference will be provided here when the manuscript appears in a journal.</p> <p>Other references to be cited:</p> <p>- For the model code: Adeli, H., Vitu, F., & Zelinsky, G. J. (2017). A model of the superior colliculus predicts fixation locations during scene viewing and visual search. Journal of Neuroscience, 37(6), 1453-1467. http://www.jneurosci.org/content/37/6/1453</p> <p>- For FSC materials and data: Albrengues, C., Lavigne, F., Aguilar, C., Castet, E., & Vitu, F. (2019). Linguistic processes do not beat visuo-motor constraints, but they modulate where the eyes move regardless of word boundaries: Evidence against top-down word-based eye-movement control during reading. PLoS ONE 14(7): e0219666. https://doi.org/10.1371/journal.pone.0219666<br> </p>
Evaluation of biofloc system prototype for shrimp production
<p>Prototype for rearing shrimp in biofloc was validated at FURG and UFSC. It was used two tanks, on of 3500L tanks (square at FURG) and one of 4000L (circular at UFSC), stocked with 400 shrimp/m<sup>3</sup> (initial weight of 1g). Tanks were equipped with artificial substrates and aeration system (Airtubes connected to a blower with a flow rate of 33.75L/min), according with previous CS5 task one studies. Also, an inoculum of 10% from a mature tank was used and C:N ratio was 8.9:1. Prototype proved to be functional, with good shrimp growth performance</p>
A prototyping software engineering approach for designing and implementing model-based cloud mobile application for rationalized energy consumption
<p>The dataset used in this study comprises four files containing household consumers' energy consumption records. These records are collected at hourly intervals, providing detailed information on the energy usage patterns of the households. The dataset serves as a valuable resource for analyzing energy consumption trends, developing energy management strategies, and exploring the potential for energy efficiency improvements in residential settings.</p> <p> </p> <p> </p> <p> </p> <p> </p>
Active Learning Prototypes for Teaching Game AI
<p><strong>Supplementary materials for “Active Learning Prototypes for Teaching Game AI”</strong></p> <p><em>Overview</em></p> <p>This package contains the following files and folders:</p> <ul> <li><code>LICENSE_CODE.txt</code> - The license for the included code.</li> <li><code>LICENSE_DATA.txt</code> - The license for the included data.</li> <li><code>README.md</code> - Package description.</li> <li><code>requirements.txt</code>- Specifies the Python dependencies required for running the included notebook.</li> <li><code>survey_analysis.ipynb</code> - Notebook used for analyzing the survey data.</li> <li><code>survey_data.ods</code>- Fully anonymized survey data.</li> </ul> <p><em>Reproducibility of results</em></p> <p>The results presented in the research paper “Active Learning Prototypes for Teaching Game AI”, published in the Proceedings of the IEEE Conference on Games 2023, and authored by Nuno Fachada, Filipa F. Barreiros, Phil Lopes and Micaela Fonseca, can be reproduced with the Jupyter notebook included in this package.</p> <p><em>Licenses</em></p> <ul> <li>The code in the Jupyter Notebook is made available under the <a href="https://opensource.org/licenses/MIT">MIT</a> license (see <code>LICENSE_CODE.txt</code>).</li> <li>The non-code materials are made available under a <a href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0</a> license (see <code>LICENSE_OTHER.txt</code>).</li> </ul>
The data and codes corresponding to "Calibration of an SKA-Low prototype station using holographic techniques"
<p>The data and codes for our paper "Calibration of an SKA-Low prototype station using holographic techniques" being submitted to Radio Science. The data were acquired on 30-11-2022 around noon. The contents of this dataset are as follows.</p> <ol> <li>channel_cont_20221130_17259_0.hdf5 - voltage dump file with the AAVS2 antenna voltages.</li> <li>chan_204_20221130T04473900.uvfits - channelised and correlated uvfits file for the AAVS2 voltage dump. This can be imported into conventional radio astronomy packages such as miriad.</li> <li>miriad_mfcal4holo.sh - script to process the uvfits file in miriad.</li> <li>chan_204_20221130T04473900.uv_aver_phc.zip - final calibrated miriad data as a zip file.</li> <li>antenna_locations_aavs2.txt contains the AAVS2 antenna locations in metres.</li> <li>channel_4_1_1669783636.945334.dada - beamformed voltage stream from EDA2 with the beam towards the Sun.</li> <li>Holography_combined.ipynb - jupyter notebook to perform all the holographic techniques with the data given above and generate all the figures used in the paper.</li> </ol>
Proving Utility of a New Field-cycling MRI Prototype in Acute Stroke Patients
ClinicalTrials.gov study NCT07004140. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
Prototype of Innovative Food Product to Improve Respiratory and Peripheral Muscle Function in Humans
ClinicalTrials.gov study NCT06248437. IPD Sharing: NO. Countries: 1. Publications: 4.
Clinical Evaluation of Noninvasive OCT Angiography Using a Zeiss OCT Prototype to Compare to Fluorescein Angiography
ClinicalTrials.gov study NCT02391558. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Clinical Performance Comparison of 2 THERANOVA 400 Dialyzer Prototypes in HD With High-Flux Dialyzers in HD and hv HDF Mode
ClinicalTrials.gov study NCT02377622. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Clinical Application of the J-PET Scanner Prototype
ClinicalTrials.gov study NCT06242119. IPD Sharing: UNDECIDED. Countries: 1. Publications: 6.
Developing a Virtual Reality (VR)-Based Prototype for Perioperative Care - a Proof of Concept Study
ClinicalTrials.gov study NCT05564013. IPD Sharing: NO. Countries: 1. Publications: 2.
Clinical Validation of a Decompression Prototype Splint for Patients With Carpal Tunel Syndrome
ClinicalTrials.gov study NCT04043780. IPD Sharing: NO. Countries: 1. Publications: 31.
An Initial Test of Prototype Mobile App Interventions for Decluttering
ClinicalTrials.gov study NCT06108245. IPD Sharing: YES. Countries: 1. Publications: 6.
Visual Performance of Prototype Contact Lens Designs
ClinicalTrials.gov study NCT02193555. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Clinical Impact of Rapid Prototyping 3D Models for Surgical Management
ClinicalTrials.gov study NCT04788082. IPD Sharing: NO. Countries: 1. Publications: 17.
Dispensing Study to Assess Visual Performance of Prototype Contact Lenses
ClinicalTrials.gov study NCT02214797. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Dispensing Study to Assess the Visual Performance of Optimised Prototype Contact Lenses
ClinicalTrials.gov study NCT02484586. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Study to Evaluate a Prototype Non-Invasive BG Measurement System
ClinicalTrials.gov study NCT05023798. IPD Sharing: NO. Countries: 1. Publications: 1.
ScienceDex guides
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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.