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Dataset results
17 results for “Research Efficiency”
Supplementary material for research article "Quantifying the risk mitigation efficiency of changing silvicultural systems under storm risk throughout history"
<p>This public repository contains mainly datasets generated and analyzed during the current study, closely linked to the research article "Quantifying the risk mitigation efficiency of changing silvicultural systems under storm risk throughout history". Furthermore, the repository contains additional figures and deep dives on the methodological background the research article was built on.</p>
Research Data for the Journal Article: Hypercrosslinked porous polymer as catalyst for efficient biodiesel production
Open the record for dataset details and reuse information.
Research Data for the Journal Article: Efficient DMF-assisted synthesis of formamides from amines using CO2 catalyzed by heterogeneous metal-free imidazolium-hypercrosslinked polymers
Open the record for dataset details and reuse information.
AMD AI Research Focused on Data Processing Efficiency
<pre><code><a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=yhz_8hb31&xml=https://dqnko.com">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=yhz_8hb31&xml=https://dqnko.com</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?c=n&id=yhz_e7327&xml=https://dqnko.com">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?c=n&id=yhz_e7327&xml=https://dqnko.com</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?xml=https://dqnko.com&id=yhz_f2432">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?xml=https://dqnko.com&id=yhz_f2432</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?xml=https://dqnko.com&id=yhz_85zf4">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?xml=https://dqnko.com&id=yhz_85zf4</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=yhz_67442&xml=https://dqnko.com">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=yhz_67442&xml=https://dqnko.com</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?h=g&id=yhz_gdgdc&xml=https://dqnko.com">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?h=g&id=yhz_gdgdc&xml=https://dqnko.com</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=yhz_34cbz&xml=https://dqnko.com">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=yhz_34cbz&xml=https://dqnko.com</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?n=e&id=yhz_54bhg&xml=https://dqnko.com">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?n=e&id=yhz_54bhg&xml=https://dqnko.com</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?xml=https://dqnko.com&id=yhz_f75g1">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?xml=https://dqnko.com&id=yhz_f75g1</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=yhz_c9gec&xml=https://dqnko.com">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=yhz_c9gec&xml=https://dqnko.com</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?q=e&id=yhz_4b816&xml=https://dqnko.com">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?q=e&id=yhz_4b816&xml=https://dqnko.com</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=yhz_b4fb2&xml=https://dqnko.com">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=yhz_b4fb2&xml=https://dqnko.com</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=yhz_b4f89&xml=https://dqnko.com">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=yhz_b4f89&xml=https://dqnko.com</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?xml=https://dqnko.com&id=yhz_e9d9c">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?xml=https://dqnko.com&id=yhz_e9d9c</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?xml=https://dqnko.com&id=yhz_c35gc">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?xml=https://dqnko.com&id=yhz_c35gc</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?xml=https://dqnko.com&id=yhz_27aca">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?xml=https://dqnko.com&id=yhz_27aca</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=yhz_551gf&xml=https://dqnko.com">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=yhz_551gf&xml=https://dqnko.com</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=yhz_8faze&xml=https://dqnko.com">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=yhz_8faze&xml=https://dqnko.com</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=yhz_24bdz&xml=https://dqnko.com">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=yhz_24bdz&xml=https://dqnko.com</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=yhz_3fg76&xml=https://dqnko.com">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=yhz_3fg76&xml=https://dqnko.com</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?x=h&id=yhz_ebz7h&xml=https://dqnko.com">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?x=h&id=yhz_ebz7h&xml=https://dqnko.com</a> <a 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href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=ymp_31chc&xml=https://dqnko.com">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=ymp_31chc&xml=https://dqnko.com</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?xml=https://dqnko.com&id=ymp_z81da">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?xml=https://dqnko.com&id=ymp_z81da</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?xml=https://dqnko.com&id=ymp_eg724">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?xml=https://dqnko.com&id=ymp_eg724</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=ymp_z8e5z&xml=https://dqnko.com">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=ymp_z8e5z&xml=https://dqnko.com</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=ymp_ebca3&xml=https://dqnko.com">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=ymp_ebca3&xml=https://dqnko.com</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?xml=https://dqnko.com&id=ymp_2a193">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?xml=https://dqnko.com&id=ymp_2a193</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=ymp_dd653&xml=https://dqnko.com">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=ymp_dd653&xml=https://dqnko.com</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?xml=https://dqnko.com&id=ymp_2g7g3">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?xml=https://dqnko.com&id=ymp_2g7g3</a> <a href="https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=ymp_hgazf&xml=https://dqnko.com">https://www.vatican.va/various/basiliche/san_giovanni/vr_tour/Media/VR/Lateran_Apse/index.html?id=ymp_hgazf&xml=https://dqnko.com</a> <a 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href="https://www.pastery.net/jecxjc/">https://www.pastery.net/jecxjc/</a> <a href="https://justpaste.it/fxjje">https://justpaste.it/fxjje</a> <a href="https://briselme4brisel.hashnode.dev/amazon-ai-strategy-for-retail-personalization">https://briselme4brisel.hashnode.dev/amazon-ai-strategy-for-retail-personalization</a> <a href="https://briselme4brisely.hashnode.space/default-guide/nvidia-ai-breakthroughs-in-climate-modeling?t=1731481808722">https://briselme4brisely.hashnode.space/default-guide/nvidia-ai-breakthroughs-in-climate-modeling?t=1731481808722</a> <a href="https://medium.com/@asgarigiray/intel-ai-powered-solutions-for-5g-networks-3416ea1c12dc">https://medium.com/@asgarigiray/intel-ai-powered-solutions-for-5g-networks-3416ea1c12dc</a> <a href="https://web3devcommunity.com/topic/38935/apple-ai-in-augmented-reality-applications">https://web3devcommunity.com/topic/38935/apple-ai-in-augmented-reality-applications</a> <a 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href="https://snippet.host/axbzrf">https://snippet.host/axbzrf</a> <a href="https://wow.curseforge.com/paste/06c59902">https://wow.curseforge.com/paste/06c59902</a> <a href="https://www.wowace.com/paste/d9568726">https://www.wowace.com/paste/d9568726</a> <a href="https://www.taskade.com/d/XVbcbG8sYAMiVnK5?share=edit&edit=GZ9GKE1hhGfVQaxW&as=list">https://www.taskade.com/d/XVbcbG8sYAMiVnK5?share=edit&edit=GZ9GKE1hhGfVQaxW&as=list</a> <a href="https://forum.thecodingcolosseum.com/topic/18504/samsung-ai-use-in-voice-recognition-software">https://forum.thecodingcolosseum.com/topic/18504/samsung-ai-use-in-voice-recognition-software</a> <a href="https://etextpad.com/xyqlkwdhhx">https://etextpad.com/xyqlkwdhhx</a> <a href="https://www.calameo.com/read/007814943a78cbf4781f4">https://www.calameo.com/read/007814943a78cbf4781f4</a> <a 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Research data and example scripts for the paper "Bayesian Target-Vector Optimization for Efficient Parameter Reconstruction"
<p><strong>Bayesian Target-Vector Optimization for Efficient Parameter Reconstruction</strong></p> <p>This publication contains the research data and example scripts for the paper “Bayesian Target-Vector Optimization for Efficient Parameter Reconstruction” [1]. The research data is found in the directory <code>research_data</code>, the example scripts are found in the directory <code>example_scripts</code>.</p> <p>The research data contains all necessary information to be able to reconstruct the figures and values given in the paper, as well as all result figures shown. Where possible, the directories contain the necessary scripts to recreate the results themselves, up to stochastic variations.</p> <p>The example scripts are intended to show how one can (i), perform a least-square type optimization of a model function (here we focus our efforts on the analytical model functions MGH17 and Gauss3, as described in the paper) using various methods (BTVO, LM, BO, L-BFGS-B, NM, including using derivative information when applicable), and (ii), perform Markov chain Monte Carlo (MCMC) sampling around the found maximum likelihood estimate (MLE) to estimate the uncertainties of the MLE parameter (both using a surrogate model of the actual model function, as well as using the actual model function directly).</p> <p> </p> <p><strong>Research data</strong></p> <p>Contained are directories for the experimental problem GIXRF, and the two analytical model functions MGH17 and Gauss3. What follows is a listing of directories and the contents:</p> <ul> <li><code>gauss3_optimization</code>: Optimization logs for the Gauss3 model function for BTVO, LM, BO, L-BFGS-B, NM (with derivatives when applicable), .npy files used for generating the plots, a <code>benchmark.py</code> file used for the generation of the data, as well as the plots shown in the paper.</li> <li><code>mgh17_optimization</code>: Optimization logs for the MGH17 model function for BTVO, LM, BO, L-BFGS-B, NM (with derivatives when applicable), .npy files used for generating the plots, a <code>benchmark.py</code> file used for the generation of the data, as well as the plots shown in the paper.</li> <li><code>mgh17_mcmc_analytical</code>: Scripts for the creation of the plots (does not use an optimization log), as well as plots shown in the paper. This uses the model function directly to perform the MCMC sampling.</li> <li><code>mgh17_mcmc_surrogate</code>: Optimization log of the MGH17 function used for the creation of the MCMC plots, scripts for the creation of the plots (use the optimization log), as well as plots shown in the paper. This uses a surrogate model to perform the MCMC sampling.</li> <li><code>gixrf_optimization</code>: <code>benchmark.py</code> file to perform the optimization, the optimization logs for the various methods (BTVO, LM, BO, L-BFGS-B, NM), .npy files and scripts used for the creation of the plots, and the plots shown in the paper.</li> <li><code>gixrf_mcmc_supplement</code>: optimization log used for the creation of the plot, pickle file used for the creation of the plot, script to create the MCMC plot.</li> <li><code>gixrf_optimum_difference_supplement</code>: optimization logs of BTVO optimization of the GIXRF problem, scripts to create the difference/error plots shown for the GIXRF problem in the supplement, and the plots themselves.</li> </ul> <p><strong>Employed software for creating the research data</strong></p> <p>The software used in the creation is:</p> <ul> <li>JCMsuite Analysis and Optimization toolkit, development version, commit d55e99b (the closest commercial release is found in JCMsuite version 5.0.2)</li> <li>A list of Python packages installed (excerpt from <code>conda list</code>, name and version) <ul> <li>corner 2.1.0</li> <li>emcee 3.0.2</li> <li>jax 0.2.22</li> <li>jaxlib 0.1.72</li> <li>matplotlib 3.2.1</li> <li>numba 0.40.1</li> <li>numpy 1.18.1</li> <li>pandas 0.24.1</li> <li>python 3.7.11</li> <li>scikit-optimize 0.7.4</li> <li>scipy 1.7.1</li> <li>tikzplotlib 0.9.9</li> </ul> </li> <li>JCMsuite 4.6.3 for the evaluation of the experimental model</li> </ul> <p> </p> <p><strong>Example scripts</strong></p> <p>This directory contains a few sample files that show how parameter reconstructions can be performed using the JCMsuite analysis and optimization toolbox, with a particular focus on the Bayesian target-vector optimization method shown in the paper.</p> <p>It also contains example files that show how an uncertainty quantification can be performed using MCMC, both directly using a model function, as well as using a surrogate model of the model function.</p> <p>What follows is a listing of the contents of the directory:</p> <ul> <li><code>mcmc_mgh17_analytical.py</code>: performs a MCMC analysis of the MGH17 model function directly, without constructing a surrogate model. Uses <code>emcee</code>.</li> <li><code>mcmc_mgh17_surrogate.py</code>: performs a MCMC analysis of the MGH17 model function by constructing a surrogate model of the model function. Uses the JCMsuite analysis and optimization toolbox.</li> <li><code>opt_gauss3.py</code>: performs a parameter reconstruction of the Gauss3 model function using various methods (BTVO, LM, BO, L-BFGS-B, NM, with derivatives when applicable).</li> <li><code>opt_mgh17.py</code>: performs a parameter reconstruction of the MGH17 model function using various methods (BTVO, LM, BO, L-BFGS-B, NM, with derivatives when applicable).</li> <li><code>util/model_functions.py</code>: contains the MGH17 and Gauss3 model functions, their (automatic) derivatives, and objective functions used in the optimizations.</li> </ul> <p><strong>Requirements to execute the example scripts</strong></p> <p>These scripts have been developed and tested under Linux, Debian 10. We have tried to make sure that they would also work in a Windows environment, but can unfortunately give no guarantees for that.</p> <p>We mainly use Python to run the reconstructions. To execute the files, a few Python packages have to be installed. In addition to the usual scientific Python stack (NumPy, SciPy, matplotlib, pandas, etc.), the packages <code>jax</code> and <code>jaxlib</code> (for automatic differentiation of Python/NumPy functions), <code>emcee</code> and <code>corner</code> (for MCMC sampling and subsequent plotting of the results) have to be installed.</p> <p>This can be achieved for example using pip, e.g.</p> <pre><code>pip install -r requirements.txt</code></pre> <p>Additionally, JCMsuite has to be installed. For this you can visit [2] and download a free trial version.</p> <p>On Linux, the installation has to be added to the PATH, e.g. by adding the following to your <code>.bashrc</code> file:</p> <pre><code>export JCMROOT=/FULL/PATH/TO/BASE/DIRECTORY export PATH=$JCMROOT/bin:$PATH export PYTHONPATH=$JCMROOT/ThirdPartySupport/Python:$PYTHONPATH</code></pre> <p> </p> <p><strong>Bibliography</strong></p> <p>[1] <span>M. Plock</span>, <span> K. Andrle</span>, <span> S. Burger</span>, <span> P.-I. Schneider</span>, <span>Bayesian Target-Vector Optimization for Efficient Parameter Reconstruction</span>. <em>Adv. Theory Simul.</em> <strong><span>5</span></strong>, 2200112 (2022).</p> <p>[2] https://jcmwave.com/</p>
Source research data for the article titled "A Nature-Inspired Approach to Energy-Efficient Relay Selection in Low-Power Wide-Area Networks (LPWAN)".
<p>The source research data set developed and utilized while working on the article "A Nature-Inspired Approach to Energy-Efficient Relay Selection in Low-Power Wide-Area Networks (LPWAN)" for Sensors SI. The data set includes simulation results from OMNeT++ and the data to evaluate the parameters of the algorithms.</p>
Digital Therapeutics Research on Efficiency About Mild Cognitive Impairment Study
ClinicalTrials.gov study NCT05938426. IPD Sharing: NO. Countries: 1. Publications: 1.
Research of Efficient Use of Omeprazole in Combination With Domperidone in Gastroesophageal Reflux Disease of Mild to Moderate Severity
ClinicalTrials.gov study NCT02140073. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Validation prediction: a flexible protocol to increase efficiency of automated acoustic processing for wildlife research
Open the record for dataset details and reuse information.
Data of paper "Predicting Transverse Mixing Efficiency Downstream of a River Confluence by Pouchoulin et al. (Water Resources Research)"
<p>Here is the dataset of velocity (ADCP) & conductivity (CTD) masured over the three surveys and at each cross-section of the Soane Rhone confluence at Lyon (France), as presented by "Pouchoulin et al. Predicting Transverse Mixing Efficiency Downstream of a River Confluence, Water Ressources Research"</p>
Figures 9-15 from: Gates M, Buffington M (2011) Description of two techniques to increase efficiency in processing and curating minute arthropods, with special reference to parasitic Hymenoptera. Journal of Hymenoptera Research 22: 133-140. https://doi.org/10.3897/jhr.22.2099
Figures 9-15 - 9 Collection labels are removed from the sample. 10 Specimens in ethanol are poured into the filter. 11 Complete vacuum pump system. 12 Filter under vacuum. 13 Specimens dried after running the pump. 14 Specimens removed from the filter onto a mounting board. 15 Glue boards are arranged.
Figures 1-8 from: Gates M, Buffington M (2011) Description of two techniques to increase efficiency in processing and curating minute arthropods, with special reference to parasitic Hymenoptera. Journal of Hymenoptera Research 22: 133-140. https://doi.org/10.3897/jhr.22.2099
Figures 1-8 - 1 Miscellaneous vials for specimen storage 2 Ilford antistatic cloth. 3 Kinetronics antistatic brush. 4 Zerostat 3 product box. 5 Zerostat 3 gun with cap. 6 USNM ½ unit tray with plastic specimen boxes. 7 Specimens attracted to box lid by static. 8 Specimens at bottom of box lid after static dissipated.
Researching Efficient Approaches to Delirium Identification-Sustaining Effective Translation
ClinicalTrials.gov study NCT05915377. IPD Sharing: YES. Countries: 1. Publications: 0.
Data from: Efficient screening of transgenic plant lines for ecological research
Open the record for dataset details and reuse information.
Figure 1 from: Yilmaz H (2020) Ferroelectric-Semiconductor Solar Cells: An Alternative Configuration With High-Efficiency. Research Ideas and Outcomes 6: e50013. https://doi.org/10.3897/rio.6.e50013
Figure 1 Illustration of the proposed solar cell.
Research to Evaluate Efficiency in U-health Solution Service for the Chronic Wound Management
ClinicalTrials.gov study NCT02382302. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Efficiency and Efficacy of the Distress Thermometer in the Burn and Wound Population (Research Mentoring High Student Project)
ClinicalTrials.gov study NCT01169285. IPD Sharing: Not stated. Countries: 0. Publications: 0.
ScienceDex guides
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