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31 results for “COSI”
3D-COSI ~ 3D Collection of Surgical Instruments
<h2><strong>COSI - 3D STL Collection of Surgical Instruments</strong></h2><p><i><strong>Due to large file names, we have chosen to use </strong></i><a href="https://www.7-zip.org/"><i><strong>https://www.7-zip.org/</strong></i></a><i><strong> which is 100% free and compatible with WinZip. If you encounter an error using WinZip, it's likely due to large file names, please use 7zip.</strong></i></p><p>Inside the repository, you will find an information overview "<i>Overview.docx", </i>a showcase video "<i>Example video 3D instruments.mp4"</i>, STL files of 103 surgical instruments "<i>Surgical Instruments.7z"</i>, examples of variations of the surgical instruments using Blender add-on or Python script build on the Trimesh library "<i>Blender Part x of 8 ... 7z"</i>, or "<i>Trimesh part x of 9 ... .7z". </i>You will also find the used Blender Add On <i>"MultiMesh.zip", </i>measurements of virtual instruments and settings for the add-on (.xlsx), and the script that was used to perform these measurements inside a single folder, "<i>Scripts, measurements and used Blender settings.7z</i>".</p><p>The proposed data collection consists of 103 3D-scanned medical instruments from the clinical routine, scanned with structured light scanners. The collection consists, for example, of instruments like retractors, forceps, and clamps. The collection is augmented by generating likewise models using 3D software, resulting in an inflated dataset for analysis. The collection can be used for general instrument detection and tracking in operating room settings or a freeform marker-less instrument registration for tool tracking in augmented reality. Furthermore, for medical simulation or training scenarios in virtual reality or mixed reality.<br><br><strong>Related article:</strong><br>Luijten, G., Gsaxner, C., Li, J. <i>et al.</i> 3D surgical instrument collection for computer vision and extended reality. <i>Sci Data</i> <strong>10</strong>, 796 (2023). https://doi.org/10.1038/s41597-023-02684-0</p>
COSI-Article matrix: linking ISCB Communities of Special Interest to Wikipedia
<p>Wikipedia is regarded as one of the most important channels for the public communication of science; English Wikipedia has around 1,500 articles relating to computational biology, which are frequently accessed as an educational resource. Joint efforts between the International Society for Computational Biology (ISCB) and the Computational Biology taskforce of WikiProject Molecular Biology (a group of expert Wikipedia editors) have considerably improved computational biology representation on Wikipedia in recent years. However, there is still an urgent need for further quality improvement, primarily while comparing to related scientific fields such as genetics and medicine. Facilitating the involvement of members from ISCB COSIs (Communities of Special Interest) would improve a vital open educational resource in computational biology, additionally allowing COSIs to provide a quality educational resource particular to their subfield.</p> <p>This first version of the COSI-Article matrix is a binary matrix identifying relevant ISCB COSIs for all Wikipedia articles relating to computational biology, defining a domain-specific open educational resource for each COSI. In addition, quality and importance ratings for each article allow identification of areas where domain experts could improve computational biology representation.</p>
DREP and micro-burst events measured with the Compton Spectrometer and Imager COSI
<p>The Compton Spectrometer and Imager, COSI, is a Compton telescope operating in the 0.2-5 MeV energy range and capable of imaging, spectroscopy and polarimetry of astrophysical sources. Such capabilities are made possible by COSI's twelve germanium cross-strip detectors, which provide for high efficiency, high resolution spectroscopy, and precise 3D positioning of photon interactions. This directory gathers the heliophysics data observed during the 2016 COSI balloon flight. In May 2016, COSI took flight from Wanaka, New Zealand, on a NASA super-pressure balloon. For 46 days, COSI floated at a nominal altitude of 33.5 km, continually telemetering science data in real-time. The payload made a safe landingin Peru, and the hard drives containing the full raw data set were recovered.<br> <br> The following files are included in this directory:</p> <p>megalib_v3.02.zip:<br> All the software (MEGAlib) to analyze this data</p> <p>massmodel.tar.gz:<br> The COSI-2016 mass model to analyze this data</p> <p>COSI2016_GeD_L3EventList_DREP_20160521_v04.fits.gz:<br> A level 3 event list from May 21th 2016 containing a multi-peak DREP event.</p> <p>COSI2016_GeD_L3EventList_DREP_20160530_v04.fits.gz<br> A level 3 event list from May 30th 2016 containing 2 DREP complexes and a micro-burst event.<br> <br> <br> The latest version of the data analysis software can be found here:<br> https://github.com/zoglauer/megalib.git<br> Documentation on how to use the software can be found in the "doc" directory of MEGAlib, especially in the file Mimrec.pdf. Before usage with MEGAlib, the data needs to be converted into MEGAlib's tra file format, for example:<br> <br> TraFitsConverter -f COSI2016_GeD_L3EventList_DREP_20160530_v04.fits.gz -g COSI.DetectorHead.geo.setup<br> <br> The mass model files "COSI.DetectorHead.geo.setup" can be found in the massmodel.zip file.<br> <br> </p>
LC-HRAM-MS data for "Emergence of a proton exchange-based isomerization and lactonization mechanism in the plant coumarin synthase COSY"
<p>LC-HRAM-MS data underlying Figures 2b and 3b for "Emergence of a proton exchange-based isomerization and lactonization mechanism in the plant coumarin synthase COSY"</p>
Fig. 2. 1H– 1H COSY correlations for compounds 6–10 and key HMBC correlations for compounds 1 and 6–10 in Iridoids and bis-iridoids from Valeriana jatamansi and their cytotoxicity against human glioma stem cells
Fig. 2. 1H– 1H COSY correlations for compounds 6–10 and key HMBC correlations for compounds 1 and 6–10.
Holistic Wellbeing in COPD: Communication About Sexuality (COSY)
ClinicalTrials.gov study NCT05696730. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of the Efficacy of an App for Parents to Promote Healthy Life-styles in Children: the CoSIE Trial
ClinicalTrials.gov study NCT04915092. IPD Sharing: NO. Countries: 1. Publications: 1.
Combined Simultaneous EGD-colonoscopy Trial (CoSi Endoscopy)
ClinicalTrials.gov study NCT04473456. IPD Sharing: YES. Countries: 1. Publications: 5.
Fig. 2. 1H–1 H COSY and key HMBC correlations for compounds 1–7 in Iridoids and sesquiterpenoids from Valeriana officinalis and their bioactivities
Fig. 2. 1H–1 H COSY and key HMBC correlations for compounds 1–7.
Fig. 2. HMBC and 1H–1H COSY correlations observed for compounds 1–5 in Secoergostane- and ergostane-type steroids from Pleurotus cornucopiae var. citrinopileatus
Fig. 2. HMBC and 1H–1H COSY correlations observed for compounds 1–5.
Fig. 2. COSY and HMBC correlations for compounds 1–3 in Lanostane triterpenoids from cultivated fruiting bodies of Ganoderma sichuanense: Determination of the C-25 absolute configuration of ganoderic acid A and its derivatives using the phenylglycine methyl ester (PGME) method
Fig. 2. COSY and HMBC correlations for compounds 1–3.
Fig. 2. Selected 1H–1H COSY and HMBC correlations for 3 in Bond reactivity indices approach analysis of the [2+2] cycloaddition of jatrophane skeleton diterpenoids from Euphorbia gaditana Coss to tetracyclic gaditanone
Fig. 2. Selected 1H–1H COSY and HMBC correlations for 3.
Fig. 2. 1H–1H COSY and selective HMBC correlations for 1, 3 in Chemical constituents of Entandrophragma angolense and their anti-inflammatory activity
Fig. 2. 1H–1H COSY and selective HMBC correlations for 1, 3/4, 10, and 13.
Fig. 2. Key HMBC and COSY correlations for compound 1a in Ingadosides A-C, acacic acid-type saponins from Inga sapindoides with potent inhibitory activity against downy mildew
Fig. 2. Key HMBC and COSY correlations for compound 1a.
Fig. 2. COSY and HMBC correlations for 1, 4, 5 in Lanostane triterpenoids from cultivated fruiting bodies of basidiomycete Ganoderma mbrekobenum
Fig. 2. COSY and HMBC correlations for 1, 4, 5, and 9.
Fig. 3. 1H–1H COSY and selected HMBC correlations for 1–5 in Molecular networking-based discovery of anti-inflammatory chromene dimers from Melicope pteleifolia
Fig. 3. 1H–1H COSY and selected HMBC correlations for 1–5.
Fig. 2. 1H–1H COSY and key HMBC correlations for compounds 1 and 4–7 in Neritriterpenols A-G, euphane and tirucallane triterpenes from Euphorbia neriifolia L. and their bioactivity
Fig. 2. 1H–1H COSY and key HMBC correlations for compounds 1 and 4–7.
Fig. 2. Key HMBC and 1H-1H COSY correlations for metabolites 1–5 in Biotransformation of artemisinic acid to bioactive derivatives by endophytic Penicillium oxalicum B4 from Artemisia annua L.
Fig. 2. Key HMBC and 1H-1H COSY correlations for metabolites 1–5.
Fig. 2. Selected 1H–1H COSY and HMBC correlations for compounds 1–3, 6 and 10 in Sesquiterpene coumarins from Ferula samarkandica Korovin and their bioactivity
Fig. 2. Selected 1H–1H COSY and HMBC correlations for compounds 1–3, 6 and 10.
Fig. 2. Key COSY and HMBC correlations observed for lepidiline E in Alkaloids from Lepidium meyenii (Maca), structural revision of macaridine and UPLC-MS/MS feature-based molecular networking
Fig. 2. Key COSY and HMBC correlations observed for lepidiline E (1) F (2) and G (3).
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