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870 results for “Model development”
Data from: Development of an adrenocortical cancer humanized mouse model to characterize anti-PD1 effects on tumor microenvironment
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Development and validation of a postoperative delirium prediction model for patients admitted to an intensive care unit in China: a prospective study
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eICU critical care database: Patient clinical parameters and outcomes for ICU risk prediction model development
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Integrating stakeholders’ perspectives and spatial modelling to develop scenarios of future land use and land cover change in northern Tanzania
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CT data and 3D models associated with: Palaeoneurology of the Early Cretaceous iguanodont Proa valdearinnoensis and its bearing on the parallel developments of cognitive abilities in theropod and ornithopod dinosaurs
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Data from: A novel technique to develop thoracic spinal laminectomy and a methodology to assess the functionality and welfare of the contusion SCI rat model
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Data from: Assessing cumulative impacts of forest development on the distribution of furbearers using expert-based habitat modeling
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Data from: Ocean circulation model predicts high genetic structure in a long-lived pelagic developer
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The genesis and development of vegetated fluvial landforms follow the biogeomorphological succession model in a channelised river
<p>Statistical database for the publication "The genesis and development of vegetated fluvial landforms follow the biogeomorphological succession model in a channelised river" in ESP&L.</p>
Sex prediction based on teeth mesiodistal width: model development in a Portuguese population
<p>168 pretreatment dental casts of orthodontics Portuguese subjects (59 males and 109 females) were included. Mesiodistal widths from right first molar to left first molar were measured on each pretreatment cast to the nearest 0.01 mm using digital caliper.</p>
Development and validation of a machine learning model for use as an automated artificial intelligence tool to predict mortality risk in patients with COVID-19
<p><strong>Background</strong></p> <p>New York City quickly became an epicenter of the COVID-19 pandemic. Due to a sudden and massive increase in patients during COVID-19 pandemic, healthcare providers incurred an exponential increase in workload which created a strain on the staff and limited resources. As this is a new infection, predictors of morbidity and mortality are not well characterized.</p> <p><strong>Methods</strong></p> <p>We developed a prediction model to predict patients at risk for mortality using only laboratory, vital and demographic information readily available in the electronic health record on more than 3000 hospital admissions with COVID-19. A variable importance algorithm was used for interpretability and understanding of performance and predictors.</p> <p><strong>Findings</strong></p> <p>We built a model with 84-97% accuracy to identify predictors and patients with high risk of mortality, and developed an automated artificial intelligence (AI) notification tool that does not require manual calculation by the busy clinician. Oximetry, respirations, blood urea nitrogen, lymphocyte percent, calcium, troponin and neutrophil percentage were important features and key ranges were identified that contributed to a 50% increase in patients’ mortality prediction score. With an increasing negative predictive value (NPV) starting 0.90 after the second day of admission, we are able more confidently able identify likely survivors. This study serves as a use case of a model with visualizations to aide clinicians with a better understanding of the model and predictors of mortality. Additionally, an example of the operationalization of the model via an AI notification tool is illustrated.</p>
On The Development of Multidimensional Progenitor Models For Core-collapse Supernovae
<p>Eight multi-dimensional core-collapse supernova progenitor models from work, 'On The Development of Multidimensional Progenitor Models For Core-collapse Supernovae'. Works that utilize these progenitor models are required to cite article. All models are given at 424 seconds, less than a second before iron core-collapse. The 3D 4pi models were evolved to 424.31 seconds, the collapse time according to the 1D MESA model. All data are in FLASH4 format using the HDF5 data structure. </p>
Towards a model for Managing Diversity and Inclusion in So ware Development Teams
<p>Apresentação do artigo "Towards a model for Managing Diversity and Inclusion in So ware Development Teams" no SBES 2020</p>
Using a Backcasting Framework to Develop Future School Models: What if compulsory schooling was a 21st century invention?
<p>The research results provide (a) a full list of the Focus School Elements with the consensus statements from Round Three of our modified Delphi process, and (b) a description of the five researcher developed scenarios developed from the 17 participant developed scenarios from Round Four of our modified Delphi process.</p>
3D models of mouse embryonic development (stl, converted from EMAP)
<p>A collection of readily-usable volumetric models for all tissues and stages of mouse peri-implantation development as extracted from the eMouse Atlas Project (E5.0 to E9.0), as well as custom-made models of all pre-implantation stages (E0 to E4.0). These models have been converted to a commonly used 3D format (.stl), and are provided in ready-made files for digital exploration and illustration.</p> <p>Specifically:</p> <ol> <li>individual .stl models of embryonic subcomponents for each developmental stage (e.g. epiblast, visceral endoderm; 1 folder per EMAP embryonic stage)</li> <li>ready-made .blend files where such components have been reassembled as a full embryo model, and in a scene with pre-prepared light sources and aligned camera (1 file per embryonic stage)</li> <li>a .blend file with all embryonic models provided arranged in a temporal lineup; and a .blend file with a "starter-pack" of pre-made materials to use for easy illustration.</li> </ol> <p>Also included are two data tables:</p> <ol> <li>"EMAP_key.xlsx" indicating the source of its model, and the embryonic stage corresponding to each Theiler Stage</li> <li> "EMAP_partslist.xlsx" containing the original name of each embryonic component provided (as used in <a href="https://www.emouseatlas.org/emap/ema/home.php">EMAP</a>), and the corresponding name used in this dataset.</li> </ol>
The application of filter based assembly model to develop best practices for Pannonian sand grassland restoration
<p>Data used for a manuscript sent to JAE in 2015.</p>
Fractal geometry features of aerosol particle and its contribution to atmospheric optical property: development of Fractal Aerosol Cluster Model and its validation of atmospheric visibility during a heavy haze event
<p>-------------------------<br>Content of the dataset<br>-------------------------<br>****** the experiment case (EXP) ; the control case (CTR) ******</p> <p>1. Meteorological elements.tar contains observational and simulated data for T2, WS, RH, and PM2.5 time series, which can be used to plot Figure 4 and build Table 2</p> <p>2. Planar distribution.tar contains the horizontal spatial distribution data of aerosol extinction coefficients simulated by CTR and EXP for the four typical moments selected in this paper, which can be used to plot Figures 5, 6, and 7</p> <p>3. PM.rar contains the vertical profile data of simulated Particulate Matter concentrations by CTR and EXP during the study period in the paper, which can be utilized for drawing Fig. 11.</p> <p>4. Timeseries.tar contains observational and simulated data for time series of atmospheric visibility and surface shortwave radiation, which can be used to plot Figures 5, 6, 7, 8, S1, and build Table 3</p> <p>5. wrfbiochemi.rar contains the biogenic emissions data for simulation both for CTR and EXP.</p> <p>6. wrffirechemi.rar contains the biomass burning emissions data for simulation both for CTR and EXP.</p> <p>7. wrfchemi.rar contains the Anthropogenic emissions data for simulation both for CTR and EXP.</p> <p>8. The file module_optical_averaging.F contains the main code of the improved visibility model, the Fractal Aerosol Cluster Model</p> <p>(FACM), which is coupled to WRF-Chem and used by EXP. It is located in the chem/ directory and called by optical_driver.F.</p> <pre> </pre> <p> </p> <p>-------------------------</p> <p>Contact information</p> <p>-------------------------</p> <p> </p> <p>Zhenxin Liu</p> <p>liuzhenxin@nuist.edu.cn</p> <p> </p> <p> </p>
CHOOSING THE DEVELOPMENT MODEL OF AGRO-TOURISM ACTIVITY IN THE REGIONS BASED ON ASSESSMENT OF THE EFFECTS OF FACTORS
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Raw data for the article: Two Sides of The Same Coin: Normal and Tumoral Stem Cells, The Relevance of In Vitro Models and Therapeutic Approaches: The Experience with Zika Virus in Nervous System Development and Glioblastoma Treatment
<p>Neural stem cells (NSCs) were described for the first time more than two decades ago for their ability to differentiate into all neural cell lineages. The isolation of NSCs from adults and embryos was carried out by various laboratories and in different species, from mice to humans. Similarly, no more than two decades ago, cancer stem cells were described. Cancer stem cells, previously identified in hematological malignancies, have now been isolated from several solid tumors (breast, brain, and gastrointestinal compartment). Though the origin of these cells is still unknown, there is a wide consensus about their role in tumor onset, propagation and, in particular, resistance to treatments. Normal and neoplastic neural stem cells share common characteristics, and can thus be considered as two sides of the same coin. This is particularly true in the case of the Zika virus (ZIKV), which has been described as an inhibitor of neural development by specifically targeting NSCs. This understanding prompted us and other groups to evaluate ZIKV action in glioblastoma stem cells (GSCs). The results indicate an oncolytic activity of this virus vs. GSCs, opening potentially new possibilities in glioblastoma treatment.</p>
Figures for "A Strategic Pathway from Cell to Pack-Level Battery Lifetime Model Development"
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ScienceDex guides
Understand access before you commit
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.