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218 results for “Clots”
PM_029994_E_Clots_dels_Sola
<u>File Name</u>: PM_029994_E_Clots_dels_Sola.jpg <br><u>Sublocation</u>: Necrópolis dels clots del Solà <br><u>Location</u>: Castellar de la Ribera (Solsonès) <br><u>Province</u>: Catalunya, Lleida <br><u>Country</u>: Spain <br><u>Header</u>: Necròpoli; <br><u>Description</u>: Necropolis. <br><u>Keywords</u>: Castellar de la Ribera, Catalunya, Cultural heritage, Europe, Lleida, My photography, Spain <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_029996_E_Clots_dels_Sola
<u>File Name</u>: PM_029996_E_Clots_dels_Sola.jpg <br><u>Sublocation</u>: Necrópolis dels clots del Solà <br><u>Location</u>: Castellar de la Ribera (Solsonès) <br><u>Province</u>: Catalunya, Lleida <br><u>Country</u>: Spain <br><u>Header</u>: Necròpoli; <br><u>Description</u>: Necropolis. <br><u>Keywords</u>: Castellar de la Ribera, Catalunya, Cultural heritage, Europe, Lleida, My photography, Spain <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
blood_clotting_data
<p>Contains data belonging to the manuscript "Domain Evolution of Vertebrate Blood Coagulation Cascade Proteins"</p>
Fig. 5 in Uncovering Trypanosoma spp. diversity of wild mammals by the use of DNA from blood clots
Fig. 5. Map of the distribution of the Trypanosoma spp. identified in this study. Thirteen different trypanosomes species/genotypes/MOTUs were identified, in single and mixed infection, in the blood clot of bats, carnivores and marsupials. The trypanosomes are distributed in five Brazilian biomes (Amazon Forest, Atlantic Forest, Cerrado, Pampa, and Pantanal). Each colored circle indicates different trypanosome species/genotypes/MOTUs. Abbreviations: Brazilian states: AC, Acre; ES, Espírito Santo; GO, Goiás; MS, Mato Grosso do Sul; PB, Paraíba; RJ, Rio de Janeiro; RS, Rio Grande do Sul.
Fig. 3. T in Uncovering Trypanosoma spp. diversity of wild mammals by the use of DNA from blood clots
Fig. 3. T. cruzi clade phylogenetic tree based on 18S (SSU) gene. The tree shows ten different species and genotypes identified in the blood clot of Carnivora, Chiroptera, and Didelphimorphia: T. cruzi (DTUs TcI, TcII and TcIII), T. dionisii, T. rangeli, T. sp. Neobats 2 and 3, T. janseni, and two novel MOTUs (T. sp. DID and T. sp. Neobat 4). The tree was inferred with neighbor-joining. The numbers at the nodes correspond, respectively, to NJ, ML and BI support values for the main branches. The scale-bar shows the number of nucleotide substitutions per site. Trypanosoma lewisi and Trypanosoma microti were used as outgroups.
Fig. 2 in Uncovering Trypanosoma spp. diversity of wild mammals by the use of DNA from blood clots
Fig. 2. Trypanosoma spp. identified in the blood clot of Carnivora, Chiroptera and Didelphimorphia. Each color indicates a different trypanosome species, genotype or mixed infections. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4 in Uncovering Trypanosoma spp. diversity of wild mammals by the use of DNA from blood clots
Fig. 4. Lizard/snake/rodent/marsupial clade phylogenetic tree based on 18S (SSU) gene. The tree shows the three different species from the lizard/snake/rodent/ marsupial clade identified in the blood clot of Chiroptera and Didelphimorphia: T. cascavelli, T. gennari, and T. lainsoni. Tree inferred with neighbor-joining. The numbers at the nodes correspond, respectively, to NJ, ML and BI support values for the main branches. The scale-bar shows the number of nucleotide substitutions per site. Trypanosoma serpentis was used as outgroup.
Fig. 1 in Uncovering Trypanosoma spp. diversity of wild mammals by the use of DNA from blood clots
Fig. 1. Methodological algorithm employed for the identification of trypanosomes in blood clot samples.
Edoxaban for Prevention of Blood Vessels Being Blocked by Clots (Thrombotic Events) in Children at Risk Because of Cardiac Disease
ClinicalTrials.gov study NCT03395639. IPD Sharing: YES. Countries: 14. Publications: 1.
A Trial to Learn How Well REGN7508 Works for Preventing Blood Clots After a Knee Replacement in Adult Participants
ClinicalTrials.gov study NCT06454630. IPD Sharing: YES. Countries: 5. Publications: 1.
A Trial to Learn How Well REGN9933 Works for Preventing Blood Clots After Knee Replacement Surgery in Adult Participants
ClinicalTrials.gov study NCT05618808. IPD Sharing: YES. Countries: 7. Publications: 1.
Comparative Investigation of Low Molecular Weight (LMW) Heparin/Edoxaban Tosylate (DU176b) Versus (LMW) Heparin/Warfarin in the Treatment of Symptomatic Deep-Vein Blood Clots and/or Lung Blood Clots.
ClinicalTrials.gov study NCT00986154. IPD Sharing: YES. Countries: 38. Publications: 8.
Data from: Clots reveal anomalous elastic behavior of fiber networks
<p>The adaptive mechanical properties of soft and fibrous biological materials are relevant to their functionality. The emergence of the macroscopic response of these materials to external stress and intrinsic cell traction from local deformations of their structural components is not well understood. Here, we investigate the nonlinear elastic behavior of blood clots by combining microscopy, rheology, and an elastic network model that incorporates the stretching, bending, and buckling of constituent fibrin fibers. By inhibiting fibrin crosslinking in blood clots, we observe an anomalous softening regime in the macroscopic shear response as well as a reduction in platelet-induced clot contractility. Our model explains these observations from two independent macroscopic measurements in a unified manner, through a single mechanical parameter, the bending stiffness of individual fibers. Supported by experimental evidence, our mechanics-based model provides a framework for predicting and comprehending the nonlinear elastic behavior of blood clots and other active biopolymer networks in general.</p>
Clot Galvany
Granja romana y ermita moderna-contemporanea del parque natural del Clot de Galvany (Elche, Alicante). Source: Objaverse 1.0 / Sketchfab
Investigating the two regimes of fibrin clot lysis: an experimental and computational approach
<p> </p> <p><strong>Investigating the two regimes of fibrin clot lysis: an experimental and computational approach</strong></p> <p>Dataset and python files (Python3) to reproduce all figures and simulations presented in the manuscript.</p> <p> </p> <p>**********************<br> * Run_simulations.py *<br> **********************</p> <p>* To run the simulations:<br> python3.8 Run_simulations.py arg1 arg2 arg3 arg4</p> <p> - arg1:<br> Directory with experimental lysis profiles<br> <br> - arg2:<br> Directory to store initial conditions of the lysis (i.e state of the system after clot formation)<br> if the directory does not exist, it is created.<br> <br> - arg3:<br> Directory to store the simulated lysis profiles<br> if the directory does not exist, it is created.</p> <p> - arg4:<br> index of the first set of clotting kinetic parameters (92 sets of parameters)</p> <p> - arg5:<br> index of the last set of clotting kinetic parameters (92 sets of parameters)</p> <p>* Example: python3.8 Run_simulations.py Raw_Data/ Init/ Results/ 0 92</p> <p><br> * Requires:<br> - module_fibrin_polymerization_Diamond_kinetics.py<br> - module_kinetics.py<br> - solid_Diamond_Anand_dict.py (dictionnary with parameters of the simulations)<br> - output_parameters_polymerization_T1000.txt (sets of clotting kinetic parameters)<br> - Mean_LAT_LYS_shell.txt (mean fraction of shells during slow and fast lysis for each experiment. Used to compute the distribution of shells for the surrogate model)</p> <p><br> ****************************************<br> * make_analysis_figures_simulations.py *<br> ****************************************</p> <p>* To reproduce the figures associated to simulation results:<br> python3.8 make_analysis_figures_simulations.py arg1 arg2 arg3 arg4</p> <p> - arg1:<br> Directory with experimental lysis profiles</p> <p> - arg2:<br> Directory with the simulated lysis profiles</p> <p> - arg3:<br> Directory with initial conditions</p> <p> - arg4:<br> Directory with the results of the sensitivity analysis</p> <p>* Example: python3.8 make_analysis_figures_simulations.py Raw_Data/ Results/ Init/ Sensitivity_Analysis/</p> <p>* PDF Figures are created in the current directory</p> <p>* Requires:<br> - module_analyze_simulations.py<br> - module_analyze_data.py<br> - output_parameters_polymerization_T1000.txt<br> - manip_summary.txt (clot formation time, slow lysis time, fast lysis time for each experiment)<br> - Experiments_sorted.txt (experimental conditions, sorted by increasing order of concentrations)</p> <p><br> ****************************************<br> * make_analysis_figures_experiments.py *<br> ****************************************</p> <p>* To reproduce the figures associated to experimental results:<br> python3.8 make_analysis_figures_experiments.py arg1</p> <p> - arg1:<br> Directory with experimental lysis profiles</p> <p>* Example: python3.8 make_analysis_figures_experiments.py Raw_Data/</p> <p>* PDF Figures are created in the current directory</p> <p>* Requires:<br> - module_analyze_data.py<br> - Experiments.txt (contains experimental conditions)</p> <p> </p>
Dataset for 'Internal fibrinolysis of fibrin clots is driven by pore expansion'
<p>Dataset to support <em> Internal fibrinolysis of fibrin clots is driven by pore expansion</em></p>
Low-Dose Alteplase to Treat Blood Clots in Deep Leg Veins
ClinicalTrials.gov study NCT00082355. IPD Sharing: Not stated. Countries: 1. Publications: 8.
Apixaban or Dalteparin in Reducing Blood Clots in Patients With Cancer Related Venous Thromboembolism
ClinicalTrials.gov study NCT02585713. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Study Comparing Desirudin With Heparin to Prevent Vein Clots After Heart and Lung Surgery
ClinicalTrials.gov study NCT00329433. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Safety of Dabigatran Etexilate in Blood Clot Prevention in Children
ClinicalTrials.gov study NCT02197416. IPD Sharing: Not stated. Countries: 22. Publications: 3.
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International Brain Laboratory public data
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OpenNeuro
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