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525 results for “Displace”
Effect of Laser Therapy Versus Anterior Re-positioning Splint in the Treatment of Disc Displacement With Reduction
ClinicalTrials.gov study NCT03576079. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
"Parathyroid Tissues Anatomic Localizations Are Displaced Downward in Parathyroid Hyperplasia Cases"
ClinicalTrials.gov study NCT02636075. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Evaluation of Gingival Displacement Methods
ClinicalTrials.gov study NCT07122297. IPD Sharing: NO. Countries: 0. Publications: 0.
A Case of Sesamoid Displacement Causing the First Metacarpophalangeal Joint Locking
ClinicalTrials.gov study NCT01214798. IPD Sharing: Not stated. Countries: 0. Publications: 0.
PBK/TOPK mediates Ikaros, Aiolos and CTCF displacement from mitotic chromosomes and alters chromatin accessibility at selected C2H2-zinc finger protein binding sites
GEO Series GSE266554. Mus musculus. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Sir2 suppresses transcription-mediated displacement of Mcm2-7 replicative helicases at the ribosomal DNA repeats
GEO Series GSE130273. Saccharomyces cerevisiae. 28 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Other.
Chromatin fiber invasion and nucleosome displacement by the Rap1 transcription factor
GEO Series GSE134143. synthetic construct. 6 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Temporal analysis of Brd4 displacement in the role of B cell survival, proliferation and differentiation
GEO Series GSE156126. Mus musculus. 32 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Top2a Differentially Modulates Promoter Activity in Embryonic Stem Cells via Trim28 Recruitment and PRC2 Displacement [RNA-Seq]
GEO Series GSE259215. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
External root resorption associated with displaced permanent maxillary canines: a cone-beam computed tomographic analysis
<p>Dataset for all analyses. Access initially will be granted to the editor and the reviewers during the peer review process. After acceptance, unrestricted open access to all will be granted.</p>
Dataset for analysing drought displacement in Somalia (2016 - 2021)
<p>1. SUMMARY</p> <p>This database contains harmonized time series for the study of Climate induced migration in Africa. We collected information between 2016-01-04 and 2022–10–31 at a district level in spatial resolution and weekly level in temporal level. The variables and the corresponding sources are summarized in the following tables.</p> <p><strong>Climate and vegetation related variables</strong></p> <table> <tbody> <tr> <td> <p>Variable name</p> </td> <td> <p>Source</p> </td> </tr> <tr> <td> <p>mean precipitation</p> </td> <td> <p>CHIRPS (https://www.chc.ucsb.edu/data/chirps dataset)</p> </td> </tr> <tr> <td> <p>maximum land surface temperature</p> </td> <td> <p>MODIS</p> <p>(<a href="https://modis.gsfc.nasa.gov/data/dataprod/mod11.php">https://modis.gsfc.nasa.gov/data/dataprod/mod11.php</a> )</p> </td> </tr> <tr> <td> <p>mean of normalized difference vegetation index</p> </td> <td> <p>MODIS</p> <p>(<a href="https://lpdaac.usgs.gov/products/mod09gav006/">https://lpdaac.usgs.gov/products/mod09gav006/</a> )</p> </td> </tr> </tbody> </table> <p><strong>Fatality related variables</strong></p> <p> </p> <table> <tbody> <tr> <td> <p>Variable name</p> </td> <td> <p>Source</p> </td> </tr> <tr> <td> <p>interaction</p> </td> <td> <p>The Armed Conflict Location & Event Data Project (<strong>ACLED</strong>) (<a href="https://acleddata.com/data-export-tool/">https://acleddata.com/data-export-tool/</a> )</p> </td> </tr> <tr> <td> <p>fatalities</p> </td> <td> <p>The Armed Conflict Location & Event Data Project (<em>ACLED</em>) (<a href="https://acleddata.com/data-export-tool/">https://acleddata.com/data-export-tool/</a> )</p> </td> </tr> </tbody> </table> <p> </p><p><strong>Social economic variables</strong></p> <p></p> <table> <tbody> <tr> <td> <p>Variable name</p> </td> <td> <p>Source</p> </td> </tr> <tr> <td> <p>white sorghum price</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> <tr> <td> <p>wheat flour price</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> <tr> <td> <p>cowpeas price</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> <tr> <td> <p>sugar price</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> <tr> <td> <p>tea leaves price</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> <tr> <td> <p>salt price</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> <tr> <td> <p>sesame oil price</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> <tr> <td> <p>vegetable oil price</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> <tr> <td> <p>goat price</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> <tr> <td> <p>cattle price</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> <tr> <td> <p>camel price</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> <tr> <td> <p>camel milk price</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> <tr> <td> <p>charcoal price</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> <tr> <td> <p>diesel price</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> <tr> <td> <p>red sorghum price</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> <tr> <td> <p>water drum price</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> <tr> <td> <p>labor rate</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> <tr> <td> <p>SomaliShillingToUSD</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> <tr> <td> <p>SomalilandShToUSD</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> <tr> <td> <p>water jerry price</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> <tr> <td> <p>transport cost</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> <tr> <td> <p>labor rate agricultural</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> <tr> <td> <p>labor rate non-agricultural</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> <tr> <td> <p>number of people receiving remittance</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> <tr> <td> <p>number of people receiving credit</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> <tr> <td> <p>white maize price</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> <tr> <td> <p>imported rice price</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> <tr> <td> <p>CPIAUSCL (The Consumer Price Index for All Urban Consumers)</p> </td> <td> <p><em>Food Security and Nutrition Analysis Unit</em> - Somalia (<em><strong>FSNAU</strong></em>) (<a href="https://fsnau.org/sectors/markets">https://fsnau.org/sectors/markets</a> )</p> </td> </tr> </tbody> </table> <p><strong>Internal displacement person (IDP)</strong></p> <table> <tbody> <tr> <td> <p>Variable name</p> </td> <td> <p>Source</p> </td> </tr> <tr> <td> <p>IDP Drought</p> </td> <td> <p>UNHCR-PRMN (<a href="https://prmn-somalia.unhcr.org/">https://prmn-somalia.unhcr.org/</a> ) (2017-2022)</p> <p>Population Movement Tracking (PMT) (<a href="https://www.unhcr.org/4a9501239.pdf">https://www.unhcr.org/4a9501239.pdf</a> ) (2010-2016)</p> </td> </tr> <tr> <td> <p>IDP conflict</p> </td> <td> <p>UNHCR-PRMN (<a href="https://prmn-somalia.unhcr.org/">https://prmn-somalia.unhcr.org/</a> ) (2017-2022)</p> <p>Population Movement Tracking (PMT) (<a href="https://www.unhcr.org/4a9501239.pdf">https://www.unhcr.org/4a9501239.pdf</a> ) (2010-2016)</p> </td> </tr> </tbody> </table> <p>2. CONTACT</p> <p>For questions, please email Jose Maria Tárraga at Jose.Maria.Tarraga@uv.es</p> <p>3. DATABASE</p> <p>We provided a CSV file containing the time series of the variables described above. Furthermore, additional information for spatial and temporal identification such as a district identifier and a date are included.</p>
ChAHP Displaces Transcriptional Regulators Through Active Chromatin Remodeling [ChIPseq]
GEO Series GSE297861. Mus musculus. 55 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
ChAHP Displaces Transcriptional Regulators Through Active Chromatin Remodeling [RNAseq]
GEO Series GSE297862. Mus musculus. 29 samples. Type: Expression profiling by high throughput sequencing.
Affymetrix SNP 6.0 array data for single cell multiple displacement amplification
GEO Series GSE28132. Homo sapiens. 11 samples. Type: Genome variation profiling by SNP array; SNP genotyping by SNP array.
ChAHP Displaces Transcriptional Regulators Through Active Chromatin Remodeling [gNOMEseq]
GEO Series GSE297860. Mus musculus. 4 samples. Type: Other.
Top2a Differentially Modulates Promoter Activity in Embryonic Stem Cells via Trim28 Recruitment and PRC2 Displacement [ChIP-Seq]
GEO Series GSE257545. Mus musculus. 16 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Continuous displacement monitoring at the Reissenschuh landslide using a low-cost RTK-DGNSS
<p>Positional measurements of a low-cost single-band RTK DGNSS system installed at the Reissenschuh landslide (Tyrol, Austria), starting November 2020</p>
In defence of the guidance theory? A systematic review and meta-analysis of studies on the association between maxillary lateral incisor agenesis and displacement or impaction of the permanent canine
<p>Dataset for all analyses</p>
High-rate GNSS data in seismic moment tensor inversion. The study of anthropogenic earthquakes - GNSS displacement time series
<p>The dataset of GNSS displacement time series with duration of 30 seconds before and 90 seconds after the origin time of the mining tremors. The dataset was used in the research on High-rate GNSS data in seismic moment tensor inversion. The study of anthropogenic earthquakes.</p> <p>Further description of the HR-GNSS processing can be found in the paper by Kudlacik et al. (2021) and in the research paper "High-rate GNSS data in seismic moment tensor inversion. The study of anthropogenic earthquakes".</p>
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>
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)
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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.