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1,670 results for “FORCE”
Forced Expression of MIST1 in Parietal Cells
GEO Series GSE81549. Mus musculus. 2 samples. Type: Expression profiling by array.
Cell-generated forces contribute to bottleneck during somatic cell reprogramming
GEO Series GSE148580. Homo sapiens. 37 samples. Type: Expression profiling by high throughput sequencing.
Directional flow-mediated mesenchymal force drives epithelial tube constriction and splitting
GEO Series GSE307539. Gallus gallus. 2 samples. Type: Expression profiling by high throughput sequencing.
Sequencing of mRNAs with N6-methyladenosine modifications in Diabetic Nephropathy (DN) with and without forced expression of FTO
GEO Series GSE154561. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
DATASET RELATED TO ARTICLE "Besta-Telehealth Task Force. Neuro-telehealth for fragile patients in a tertiary referral neurological institute during the COVID-19 pandemic"
<p>Data releted on visit access of patients involved in the study described at title</p>
Supplementary files for "Maintaining forces"
Open the record for dataset details and reuse information.
Fast Approximate Quantification of Endovascular Stent Graft Displacement Forces in the Bovine Aortic Arch Variant
<p>Sturla F, Caimi A, Romarowski RM, Nano G, Glauber M, Redaelli A, Votta E, Marrocco-Trischitta MM. Fast Approximate Quantification of Endovascular Stent Graft Displacement Forces in the Bovine Aortic Arch Variant. J Endovasc Ther. 2022 May 19:15266028221095403. doi: 10.1177/15266028221095403. Epub ahead of print. PMID: 35588222.</p> <p>Abstract</p> <p><strong>Purpose: </strong>Displacement forces (<strong><em>DF</em></strong>s) identify hostile landing zones for stent graft deployment in thoracic endovascular aortic repair (TEVAR). However, their use in TEVAR planning is hampered by the need for time-expensive computational fluid dynamics (CFD). We propose a novel fast-approximate computation of <strong><em>DF</em></strong>s merely exploiting aortic arch anatomy, as derived from the computed tomography (CT) and a measure of central aortic pressure.</p> <p><strong>Materials and methods: </strong>We tested the fast-approximate approach against CFD gold-standard in 34 subjects with the "bovine" aortic arch variant. For each dataset, a 3-dimensional (3D) model of the aortic arch lumen was reconstructed from computed tomography angiography and CFD then employed to compute <strong><em>DF</em></strong>s within the aortic proximal landing zones. To quantify fast-approximate <strong><em>DF</em></strong>s, the wall shear stress contribution to the <strong><em>DF</em></strong> was neglected and blood pressure space-distribution was averaged on the entire aortic wall to reliably approximate the patient-specific central blood pressure. Also, <strong><em>DF</em></strong> values were normalized on the corresponding proximal landing zone area to obtain the equivalent surface traction (<strong><em>EST</em></strong>).</p> <p><strong>Results: </strong>Fast-approximate approach consistently reflected (r<sup>2</sup>=0.99, p<0.0001) the <strong><em>DF</em></strong> pattern obtained by CFD, with a -1.1% and 0.7° bias in <strong><em>DF</em></strong>s magnitude and orientation, respectively. The normalized <strong><em>EST</em></strong> progressively increased (p<0.0001) from zone 0 to zone 3 regardless of the type of arch, with proximal landing zone 3 showing significantly greater forces than zone 2 (p<0.0001). Upon DF normalization to the corresponding aortic surface, fast-approximate <strong><em>EST</em></strong> was decoupled in blood pressure and a dimensionless shape vector (S) reflecting aortic arch morphology. <strong><em>S</em></strong> showed a zone-specific pattern of orientation and proved a valid biomechanical blueprint of <strong><em>DF</em></strong> impact on the thoracic aortic wall.</p> <p><strong>Conclusion: </strong>Requiring only a few seconds and quantifying clinically relevant biomechanical parameters of proximal landing zones for arch TEVAR, our method suits the real preoperative decision-making process. It paves the way toward analyzing large population of patients and hence to define threshold values for a future patient-specific preoperative TEVAR planning.</p>
MeteoSwiss ensemble weather forcing data (2019)
<p>MeteoSwiss CosmoE weather ensemble predictions for 2019, which were used for the calibration of the hydrodynamic model of Lake Geneva. The original dataset was modified to only contain the relevant pixels over the lake to reduce the total size of the dataset.</p>
High-resolution (5 km) RCM data for Central Europe, 1980-2009 and 2020-2049, WRF 3.6.1 forced by ERA-Interim and MPI-ESM, RCP4.5
<p>High-resolution (5km) WRF output fields of temperature, precipitation, relative humidity, wind speed, and short-wave radiation for Central Europe, 1980-2009 and 2020-2049, WRF 3.6.1 forced by ERA-Interim and MPI-ESM, RCP4.5.</p> <ul> <li>WRF_ERAI_*.nc: reanalysis data (WRF driven by ERA-Interim)</li> <li>WRF_MPI-ESM_*.nc: control and scenario data (WRF driven by MPI-ESM, RCP4.5)</li> <li>WRF_*_HGT.nc: elevation data for the three model domains</li> </ul>
Support Video of Modification of Glycerol Force Field for Simulating Diffusion-limited Silver Crystallization
<p>More support video for the paper crystals-630387</p> <p>"Modification of Glycerol Force Field for Simulating Diffusion-limited Silver Crystallization"</p> <p>SV2: The glycerol simulation run in the modified OPLS force field;</p> <p>SV3: The comparation of erythritol simulation run in the modified OPLS force field and the classic OPLS force field;</p> <p>SV4:The comparation of xylitol simulation run in the modified OPLS force field and the classic OPLS force field;</p> <p>SV5:The comparation of inositol simulation run in the modified OPLS force field and the classic OPLS force field.</p>
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.