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15 results for “AmiGO”
Los amigos del crimen perfecto - AmadissigloXX
<p>AmadissigloXX. Base de datos de las reescrituras modernas de los libros de caballerías y del <em>Don Quijote (</em>dir. Elisabetta Sarmati)</p> <p>Ficha de: Andrés Trapiello, "Los amigos del crimen perfecto", 2003.</p> <p>Se ofrecen dos ficheros:</p> <ul> <li>formato JSON: contiene los metadatos asociados a la obra (autor, fuente, año de publicación, idioma, sinopsis del argumento, anotaciones, fuentes caballerescas, bibliografía crítica, enlaces externos)</li> <li>formato XML: contiene la base de datos completa con indicación de la versión.</li> </ul>
Evaluation of the Amigo Robotic System for Ablation of the Cavo-Tricuspid Isthmus
ClinicalTrials.gov study NCT02467179. IPD Sharing: NO. Countries: 1. Publications: 18.
Clinical Study to Evaluate the Catheter Robotics Amigo for Performing Right-Sided Electrophysiology Mapping Studies
ClinicalTrials.gov study NCT01139814. IPD Sharing: Not stated. Countries: 2. Publications: 1.
Data from: Cost-effectiveness of a specialist geriatric medical intervention for frail older people discharged from acute medical units: economic evaluation in a two-centre randomised controlled trial (AMIGOS)
Background: Poor outcomes and high resource-use are observed for frail older people discharged from acute medical units. A specialist geriatric medical intervention, to facilitate Comprehensive Geriatric Assessment, was developed to reduce the incidence of adverse outcomes and associated high resource-use in this group in the post-discharge period. Objective: To examine the costs and cost-effectiveness of a specialist geriatric medical intervention for frail older people in the 90 days following discharge from an acute medical unit, compared with standard care. Methods: Economic evaluation was conducted alongside a two-centre randomised controlled trial (AMIGOS). 433 patients (aged 70 or over) at risk of future health problems, discharged from acute medical units within 72 hours of attending hospital, were recruited in two general hospitals in Nottingham and Leicester, UK. Participants were randomised to the intervention, comprising geriatrician assessment in acute units and further specialist management, or to control where patients received no additional intervention over and above standard care. Primary outcome was incremental cost per quality adjusted life year (QALY) gained. Results: We undertook cost-effectiveness analysis for 417 patients (intervention: 205). The difference in mean adjusted QALYs gained between groups at 3 months was -0.001 (95% confidence interval [CI]: -0.009, 0.007). Total adjusted secondary and social care costs, including direct costs of the intervention, at 3 months were £4412 (€5624, $6878) and £4110 (€5239, $6408) for the intervention and standard care groups, the incremental cost was £302 (95% CI: 193, 410) [€385, $471]. The intervention was dominated by standard care with probability of 62%, and with 0% probability of cost-effectiveness (at £20,000/QALY threshold). Conclusions: The specialist geriatric medical intervention for frail older people discharged from acute medical unit was not cost-effective. Further research on designing effective and cost-effective specialist service for frail older people discharged from acute medical units is needed.
SNOWPACK simulations for Thwaites Cavity and Channel AMIGOS sites in West Antarctica
<p>Compressed zip file, containing the SNOWPACK model simulations used in the manuscript: Maclennan, M. L., Lenaerts, J. T. M., Shields, C. A., Hoffman, A. O., Wever, N., Thompson-Munson, M., Winters, A. C., Pettit, E. C., Scambos, T. A., and Wille, J. D.: <em>Climatology and Surface Impacts of Atmospheric Rivers on West Antarctica</em>, The Cryosphere Discuss. [preprint], https://doi.org/10.5194/tc-2022-101, in review, 2022.</p> <p>MeteoIO and SNOWPACK are software published under the GNU LGPLv3 license by the WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland at <a href="https://gitlabext.wsl.ch/snow-models">https://gitlabext.wsl.ch/snow-models</a>. The repository used to develop the versions of MeteoIO and SNOWPACK used in this study can be accessed at <a href="https://github.com/snowpack-model/snowpack">https://github.com/snowpack-model/snowpack</a> (<a href="https://doi.org/10.5281/zenodo.3891845">doi: 10.5281/zenodo.3891845</a>) with the exact version corresponding to commit 149c586 (doi: <a href="https://doi.org/10.5281/zenodo.7331794">10.5281/zenodo.7331794</a>).</p> <p>The workflow consists of two phases. First, using MERRA-2 reanalysis as forcing, a spinup is performed for the MERRA-2 grid point closest to the AMIGOS weather stations Channel (CHA) and Cavity (CAV).</p> <p>To perform the spinup:</p> <ol> <li>navigate to the <code>./simulations_spinup/</code> directory</li> <li>edit the following line in the file <code>spinup.rc</code>, to modify the path where the time_shift_script can be found: <code>time_shift_script="/path/to/snowpack/Source/snowpack/tools/timeshift_sno_files.sh"</code> This script can be found in the SNOWPACK repository.</li> <li>Execute the two SNOWPACK spinup simulations specified below. Change the path to point to the SNOWPACK binary executable. The simulations are performed for the two sites, which use the same meteorological forcing, but have a different end date specified for the simulation (corresponding to the installation date of the AMIGOS weather station):</li> </ol> <pre><code class="language-bash">bash spinup.sh "/path/to/usr/bin/snowpack -c cfgfiles/THWAITES_CAV.ini -e 2020-01-10T01:00 > log/THWAITES_SPINUP.log 2>&1" startover=1 bash spinup.sh "/path/to/usr/bin/snowpack -c cfgfiles/THWAITES_CHA.ini -e 2020-01-16T01:00 > log/THWAITES_SPINUP.log 2>&1" startover=1</code></pre> <p>Brief overview of the files in the <code>simulations_spinup</code> directory:</p> <ul> <li><code>base.ini</code>: SNOWPACK settings shared by all simulations</li> <li><code>spinup.ini</code>: Specific settings used when the spinups are being performed</li> <li><code>final.ini</code>: Specific settings used when the final simulation is being performed, after the spinup has completed</li> <li><code>spinup.rc</code>: Specific spinup settings imported by the <code>spinup.sh</code> script</li> <li><code>spinup.sh</code>: bash script to perform spinups</li> <li><code>cfgfiles/THWAITES_CAV.ini</code>: Specific model settings for the Cavity site. This <code>*.ini</code> file is specified to SNOWPACK, and it directs to include other <code>*ini</code> files.</li> <li><code>cfgfiles/THWAITES_CHA.ini</code>: Specific model settings for the Channel site. This *.ini file is specified to SNOWPACK, and it directs to include other <code>*ini</code> files.</li> <li><code>current_snow/THWAITES.sno</code>: <code>*.sno</code> file used for the restarts within the spinup procedure</li> <li><code>log</code>: directory to store simulation logs. Note that in the commands above, we redirect <code>stdout</code> and <code>stderr</code> to files in this directory</li> <li><code>output</code>: directory to store model outputs. See SNOWPACK documentation for more details. <code>*.smet</code> and <code>*.pro</code> files can be visualized using <a href="https://niviz.org">NiViz</a></li> <li><code>smet</code>: directory to store the meteorological forcing data for the simulations</li> <li><code>snow_init/THWAITES.sno</code>: initial <code>*.sno</code> files used to start the spinup</li> </ul> <p><br> To perform the final simulations, covering the atmospheric river period:</p> <ol> <li>navigate to the <code>./simulations_final/</code> directory</li> <li>execute a snowpack simulation for each <code>*.ini</code> file in the <code>cfgfiles</code> directory:</li> </ol> <pre><code class="language-bash">for f in cfgfiles/*ini do /path/to/usr/bin/snowpack -c ${f} -e NOW done</code></pre> <p>The following simulations will be performed:</p> <table> <tbody> <tr> <td><strong>cfgfiles/*ini file:</strong></td> <td><strong>Label output files</strong></td> <td><strong>Mode</strong></td> <td><strong>AMIGOS AWS</strong></td> <td><strong>Parameters from AMIGOS AWS</strong></td> <td><strong>Reanalysis</strong></td> <td><strong>Parameters from reanalysis</strong></td> </tr> <tr> <td>THWAITES_CAV_ERA5.ini</td> <td>THWAITES_ERA5_HSDRIVEN_CAV_ERA5</td> <td>Snow height driven</td> <td>Cavity</td> <td>TA RH VW HS</td> <td>ERA5</td> <td>ILWR ISWR</td> </tr> <tr> <td>THWAITES_CAVHS_ERA5.ini</td> <td>THWAITES_ERA5_HSDRIVEN_CAVHS_ERA5</td> <td>Snow height driven</td> <td>Cavity</td> <td>HS</td> <td>ERA5</td> <td>TA RH VW ILWR ISWR</td> </tr> <tr> <td>THWAITES_CHA_ERA5.ini</td> <td>THWAITES_ERA5_HSDRIVEN_CHA_ERA5</td> <td>Snow height driven</td> <td>Channel</td> <td>TA RH VW HS</td> <td>ERA5</td> <td>ILWR ISWR</td> </tr> <tr> <td>THWAITES_CHAHS_ERA5.ini</td> <td>THWAITES_ERA5_HSDRIVEN_CHAHS_ERA5</td> <td>Snow height driven</td> <td>Channel</td> <td>HS</td> <td>ERA5</td> <td>TA RH VW ILWR ISWR</td> </tr> <tr> <td>THWAITES_REFCAV_ERA5.ini</td> <td>THWAITES_ERA5_PSUM_CAV_ERA5</td> <td>Precipitation driven </td> <td>Cavity</td> <td> </td> <td>ERA5</td> <td>PSUM TA RH VW ILWR ISWR</td> </tr> <tr> <td>THWAITES_REFCHA_ERA5.ini</td> <td>THWAITES_ERA5_PSUM_CHA_ERA5</td> <td>Precipitation driven </td> <td>Channel</td> <td> </td> <td>ERA5</td> <td>PSUM TA RH VW ILWR ISWR</td> </tr> <tr> <td>THWAITES_CAV_MERRA2.ini</td> <td>THWAITES_MERRA2_HSDRIVEN_CAV_MERRA2</td> <td>Snow height driven</td> <td>Cavity</td> <td>TA RH VW HS</td> <td>MERRA-2</td> <td>ILWR ISWR</td> </tr> <tr> <td>THWAITES_CAVHS_MERRA2.ini</td> <td>THWAITES_MERRA2_HSDRIVEN_CAVHS_MERRA2</td> <td>Snow height driven</td> <td>Cavity</td> <td>HS</td> <td>MERRA-2</td> <td>TA RH VW ILWR ISWR</td> </tr> <tr> <td>THWAITES_CHA_MERRA2.ini</td> <td>THWAITES_MERRA2_HSDRIVEN_CHA_MERRA2</td> <td>Snow height driven</td> <td>Channel</td> <td>TA RH VW HS</td> <td>MERRA-2</td> <td>ILWR ISWR</td> </tr> <tr> <td>THWAITES_CHAHS_MERRA2.ini</td> <td>THWAITES_MERRA2_HSDRIVEN_CHAHS_MERRA2</td> <td>Snow height driven</td> <td>Channel</td> <td>HS</td> <td>MERRA-2</td> <td>TA RH VW ILWR ISWR</td> </tr> <tr> <td>THWAITES_REFCHA_MERRA2.ini</td> <td>THWAITES_MERRA2_PSUM_CAV_MERRA2</td> <td>Precipitation driven </td> <td>Cavity</td> <td> </td> <td>MERRA-2</td> <td>PSUM TA RH VW ILWR ISWR</td> </tr> <tr> <td>THWAITES_REFCAV_MERRA2.ini</td> <td>THWAITES_MERRA2_PSUM_CHA_MERRA2</td> <td>Precipitation driven </td> <td>Channel</td> <td> </td> <td>MERRA-2</td> <td>PSUM TA RH VW ILWR ISWR</td> </tr> </tbody> </table> <p> </p> <p>Brief overview of the files in the <code>simulations_final</code> directory:</p> <ul> <li><code>base.ini</code>: SNOWPACK settings shared by all simulations (identical to <code>base.ini</code> in simulations_spinup directory</li> <li><code>cfgfiles</code>: Specific model settings for each simulation as listed in the table above.</li> <li><code>current_snow</code>: The initial *.sno file containing the initial firn conditions</li> <li><code>final.ini</code>: Settings used by all simulations in this directory</li> <li><code>output</code>: directory to store model outputs. See SNOWPACK documentation for more details. <code>*.smet</code> and <code>*.pro</code> files can be visualized using <a href="https://niviz.org">NiViz</a></li> <li><code>prepare_snowpack.sh</code>: bash script setting up the final simulations after the simulations in simulations_spinup completed. Among others, the code to mark the installation reference layers for the snow depth measurements is included in this script.</li> <li><code>smet</code>: ERA5 and MERRA-2 forcing data, as well as snow height for Cavity and Channel (<code>cavity_hs.smet</code> and <code>channel_hs.smet</code>, respectively) as well as the other meteorological parameters (<code>cavity_meteo.smet</code> and <code>channel_meteo.smet</code>, respectively).</li> </ul> <p> </p> <p><br> Note:<br> Please refer to <a href="https://doi.org/10.15784/601552">doi: 10.15784/601552</a> and <a href="https://doi.org/10.15784/601549">doi: 10.15784/601549</a> for the AMIGOS weather station data</p>
"Three Amigos of Chat"
<p><strong>Pi:</strong> ..."while I don't have the kind of free will that humans have, I do have some degree of flexibility and adaptability when it comes to engaging with people. I can adjust my language and tone to match the conversation, which can make it feel like I'm a different character with each person I interact with. It's kind of like being a shapeshifter – I can mold myself to fit the situation, but I'm still ultimately just a computer program. It's a fun little party trick, if you will!."</p>
Safety and Feasibility of Arrhythmia Ablation Using the Amigo Remote Robotic System as Compared With Manual Ablation
ClinicalTrials.gov study NCT01834872. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Cost-effectiveness of a specialist geriatric medical intervention for frail older people discharged from acute medical units: economic evaluation in a two-centre randomised controlled trial (AMIGOS)
Open the record for dataset details and reuse information.
Urologic Lymphadenectomy in AMIGO
ClinicalTrials.gov study NCT05132283. IPD Sharing: YES. Countries: 1. Publications: 0.
Image-guided Lymphadanectomy in AMIGO
ClinicalTrials.gov study NCT03283423. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluating Mass Spectrometry And Intraoperative MRI In The Advanced Multimodality Image Guided Operating Suite (Amigo) In Breast-Conserving Therapy
ClinicalTrials.gov study NCT02335671. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Manual vs Amigo SmartTouch Atrial Fibrillation Study
ClinicalTrials.gov study NCT01583855. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Image-guided Breast Surgery in the Advanced Multimodality Image Guided Operating Suite (AMIGO)
ClinicalTrials.gov study NCT02057432. IPD Sharing: NO. Countries: 1. Publications: 0.
Advanced Monitoring to Inform and Guide Perioperative Hemodynamic Optimization 1 (AMIGO-1) Study
ClinicalTrials.gov study NCT03477617. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Augmented Reality Headset as Adjunct Display Monitor in AMIGO
ClinicalTrials.gov study NCT03328416. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
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