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10,068 results for “heart”
World Heart Congress
<p>We welcome you to attend the <strong>2<sup>nd</sup> World Heart Congress</strong> from <strong>May 14-16, 2018</strong> at <strong>Tokyo</strong>, <strong>Japan</strong> which melds brief Keynote presentations, speaker talks, Exhibition, Symposia, workshops and special sessions. This event is CME and CPD Accredited.</p> <p>The event is in collaboration with the Egyptian Society of Pediatric Cardiology, ISTH (International Society on Thrombosis and Haemostasis), Arrhythmia Alliance, DAIC, Heart In, Placid Way, Infomed, Med gadget, World Citi Medical Centre and many more.<br> <br> Organizing Committee Members for the event are –</p> <ul> <li>Damien Byas - President, North American Scientific Committee on Cardiovascular Health, USA</li> <li>Beder Gustavo Farez - President, Argentine Federation of Cardiology , Argentina</li> <li><strong>Santoso Karo Karo -Past President & Chairperson, Indonesian Heart Association, Indonesia</strong></li> <li><strong>Guy Hugues Fontaine- Professor, Université Pierre et Marie Curie, France</strong></li> <li>Mary Shibuya- Medical English Editor at Japanese Society for Surgical Metabolism and Nutrition, Japan</li> <li><strong>Galya Atanasova -Medical University Pleven, Bulgaria</strong></li> </ul> <p>Heart Congress 2018 Emphasizes on:</p> <p>Heart Failure & Diseases, Heart Diagnosis, Cardiac Surgery, Cardiac and Cardiovascular Research, Heart Devices, Diabetes, Heart and Stroke, Pediatric Cardiology, Interventional Cardiology, Cardiac Nursing, Heart Regeneration, Cardiac Pharmacology, Cardiology - Future Medicine, Case Reports on Cardiology.</p> <p>This annual cardiology meeting is a platform for postgraduate education and scientific work in the fields of cardiology, angiology, hypertension and cardiac and vascular surgery.</p> <p>Proposals for Speakers talks, Workshops and Symposium accepted!!!</p> <p>Plan a trip to Tokyo, Japan!!</p>
A cross-study transcriptional patient map of heart failure defines conserved multicellular coordination in cardiac remodeling
<p>Collection of auxiliary data to reproduce the results from "<strong>A cross-study transcriptional patient map of heart failure defines conserved multicellular coordination in cardiac remodeling</strong>". Source code is available at: https://github.com/saezlab/reheat2_pub<br><br>We provide processed data to facilitate access to the results, for the original count data, please see the associated manuscript for references to the original datasets. </p> <p> </p> <p> </p>
FIG. 5. — A in Aristotle on the anatomy of the heart and lungs (HA 1.17): new insights from a multidisciplinary approach
FIG. 5. — A, Fresh lungs of a pig. The colour of the lungs is deep red, as is the case for the lungs in mammals; B, lungs of a chicken. Notice the pale pink colour of the lungs, which coincides with most anatomical descriptions of a chicken's lungs. This image is magnified for viewing purposes. Credits: A, Oleksandr Lyt- vynenko; B, E-Iona; taken and modified from https://www.shutterstock.com/, last consultation on 4 December 2023.
FIG. 3 in Aristotle on the anatomy of the heart and lungs (HA 1.17): new insights from a multidisciplinary approach
FIG. 3. — The process of breathing for gas exchange and the pressure change in the pleural cavity: A, during inspiration, air enters the lungs (light blue arrow), the negative pressure inside of the pleural cavity (black arrowhead) decreases and the thoracic cavity expands (orange arrows), while the lungs increase in volume;B, in exhalation, as air comes out of the lungs (light blue arrow) the pressure inside the pleural cavity (black arrowhead) increases, the thoracic cavity contracts (orange arrows), and the volume of the lungs reduces. Credit: image by Mariana Ruiz Villareal [LadyofHats], modified and taken from https://commons.wikimedia.org/, last consultation on 4 December 2023.
FIG. 1 in Aristotle on the anatomy of the heart and lungs (HA 1.17): new insights from a multidisciplinary approach
FIG. 1. — Dissection of the thoracic cavity of a dog positioned dorsally (on its back or upper side). The heart (H) can be seen located above the lungs (L) and slightly towards the right side. The lungs have collapsed to the sides of the thoracic cavity, which is limited laterally by the ribs and intercostal muscles (R-IcM). The heart is surrounded by the pericardium (Pc), partially cut to create a window, while the diaphragm (D) lies below. Credit: image by ATLOMY.
FIG. 2 in Aristotle on the anatomy of the heart and lungs (HA 1.17): new insights from a multidisciplinary approach
FIG. 2. — The position of the heart in mammalian animals: A, the human heart (white arrowhead) is positioned in the midline of the thoracic cavity, tilted to the left and surrounded by the lungs; B, the heart of a dog (white arrowhead) is also located in the thoracic cavity where it is surrounded by the lungs, as is the case in four-legged animals. Credits: images by A, Matis75; B, SciePro, taken and modified from https://www.shutterstock.com, last consultation on 4 December 2023.
FIG. 4. — A in Aristotle on the anatomy of the heart and lungs (HA 1.17): new insights from a multidisciplinary approach
FIG. 4. — A, Lateral view of the left lung of a dog. The organ is deep red in colour, as the animal has not been exsanguinated with the modern-day technique applied in slaughterhouses; B, lateral view of the lung of a pig in a slaughterhouse. The pale pink colour is a result of exsanguination, applied as part of the slaughterhouse method. Notice a lesion compatible with Enzootic Pneumonia in the middle lobe of the lung (white circle) and the heart behind it. Credits: A, image taken and modified from Singh 2018: 201; B, image taken and modified from Bonicelli et al. 2021.
Increased Cardiac Pi/PCr in the Diabetic Heart Observed Using Phosphorus Magnetic Resonance Spectroscopy at 7T
<p>The uploaded data relate to the work of Valkovič et al. entitled "Increased Cardiac Pi/PCr in the Diabetic Heart Observed Using Phosphorus Magnetic Resonance Spectroscopy at 7T." submitted in 2022<br> The data consist of the anonymised in vivo data of healthy volunteers and T2DM patients, in Siemens DICOM format, acquired as described in the manuscript. The uploaded data also include all analysed STEAM data results with visualised MR spectra and fitted values of PCr and Pi, used for Pi/PCr calculation.</p>
A volumetric model of rabbit heart and torso including ECG data and ventricular activation sequence
<p>Data generated and analyzed of our work titled "A computational model of rabbit geometry and ECG: Optimizing ventricular activation sequence and APD distribution". Please see the respective publication for more context.</p> <p> </p> <ul> <li>BSPM_filtered.dat <ul> <li>Contains the filtered ECG Data</li> </ul> </li> <li>BSPM_original.bdf <ul> <li>Contains the originally recorded signal.<br> Information on the file format itself can be found here: <a href="https://www.biosemi.com/faq/file_format.htm">https://www.biosemi.com/faq/file_format.htm</a><br> Links to various toolboxes to open the file can be found here: <a href="https://www.biosemi.com/download.htm">https://www.biosemi.com/download.htm</a></li> </ul> </li> <li>CT_DataDCM.zip <ul> <li>Contains the recorded CT images of heart and torso in DCM file format</li> </ul> </li> <li>ECG_NodeIndices.txt <ul> <li>Contains the the node IDs of the torso mesh corresponding to the electrode positions of the ECG Vest</li> </ul> </li> <li>Endocardial_Surface_Papillary.stl <ul> <li>Segmented endocardial surface including papillary muscles</li> </ul> </li> <li>Mat_LeadField.dat <ul> <li>Contains the calculated lead field matrix to be used in combination with the provided Mesh_Ven.vtu. Make sure to keep the node order</li> <li> <pre><code class="language-python"># Python example of usage # Define a read_vm_vec function which reads your calculated data beforehand import numpy as np t_begin = 0 t_end = 400 LF_mat = np.loadtxt('Mat_LeadField.dat') times = np.linspace(t_begin, t_end, t_end-t_begin) result = np.zeros((len(times), 31)) for i,t in enumerate(times): vm_vec = read_vm_vec(t) result[i, :] = LF_mat.dot(vm_vec)[0:31] result = np.insert(result, 0, times, axis=1) np.savetxt('BSPM.dat', result)</code></pre> <p> </p> </li> </ul> </li> <li>Mesh_PurkinjeTree.vtp <ul> <li>The resulting optimized Purkinje Node tree. We recommend using <a href="https://www.paraview.org/">ParaView</a> for visualization</li> </ul> </li> <li>Mesh_StimPoints.vtp <ul> <li>The resulting points of stimulation.</li> </ul> </li> <li>Stim_IndexTime.dat <ul> <li>Contains the stimulation pattern in terms the node index of Mesh_Ven.vtu and the respective stimulation time</li> </ul> </li> <li>Mesh_Ven.vtu <ul> <li>Contains the ventricular mesh as well as the repective lead field matrix values for each surface node.</li> <li>Material:<br> Right Ventricle 30<br> Left Ventricle 31</li> </ul> </li> <li>Mesh_Torso.vtu <ul> <li>Contains the whole torso mesh.</li> <li>Material:<br> Fat 2<br> Bones 3<br> Blood 9<br> Cartilage 14<br> Liver 20<br> Lungs 17<br> Right Ventricle 30<br> Left Ventricle 31<br> Right Atrium 32<br> Left Atrium 33<br> Aorta 60<br> Pulmonary artery 61<br> Left Vena Jugularis 62<br> Right Vena Jugularis 62<br> Post Vena Cava 62</li> </ul> </li> </ul> <p> </p>
SILICOFCM_Virtual population_bi-ventricles heart geometries
<p>SILICOFCM HCM (hypertrophic cardiomyopathy) baseline bi-ventricle geometry 3D reconstructed from medical imaging (STL files). This dataset contains 20 generated virtual geometries utilizing the geometry morphing tool integrated in the SILICOFCM Virtual Population Module. The dataset can be utilized for FE (Finite Element) modeling and simulations.</p>
Effects of severe anthropogenic disturbance on the heart rate and body temperature in free-living greylag geese (Anser anser)
<p>Anthropogenic disturbances are a major concern for the welfare and conservation of wildlife. We recorded heart rate and body temperature of 20 free-living greylag geese in response to a major regularly re-occurring anthropogenic disturbance, New Year’s Eve fireworks. Heart rate and body temperature were significantly higher in the first and second hour of the new year, compared to the same hour on the 31<sup>st</sup> of December, the average during December and the average during January. Heart rate and body temperature was not significantly affected by sex or age. From 0200-0300 onwards, 1<sup>st</sup> of January heart rates did not significantly differ from the other periods, however body temperatures were significantly increased until 0300-0400. From 0400-0500, heart rate was not affected by any of the investigated factors, whereas body temperature was significantly increased on the 1<sup>st</sup> of January compared 31<sup>st</sup> of December and the December average but not compared to the January average. To conclude, our results show that New Year’s Eve fireworks cause a substantial physiological response, indicative of a stress response in greylag geese, which is costly in terms of energy expenditure.</p>
The Poor Old Heart of the Milky Way
<p>This is the supplementary dataset to <a href="https://ui.adsabs.harvard.edu/abs/2022arXiv220902722R/abstract">Rix et al. (2022)</a>, containing Gaia DR3 XP-derived parameters for over one million stars towards the Galactic center.</p> <p>xp_gc_mh.csv contains XGBOOST-inferred temperatures, surface gravities, and metallicities for 1.5 million stars. </p> <p>xp_gc_kinematics.csv contains Galactocentric coordinates, actions, and basic orbital parameters for the subset of 1.2 million stars with Gaia DR3 radial velocities. </p>
Azimuth Reference - Human Heart
<p>Here we provide the reference data files used to run the Azimuth Human Heart reference web application. For a full description of the reference data structure, please see the wiki at <a href="https://github.com/satijalab/azimuth/wiki/Azimuth-Reference-Format">https://github.com/satijalab/azimuth/wiki/Azimuth-Reference-Format</a>.</p>
Dataset for study: Adaptive Hip Exoskeleton Control using Heart Rate Feedback Reduces Oxygen Cost during Ecological Locomotion
<p>This record contains the dataset for a manuscript currently under preparation and submission. See the description PDF file for more details. The information here will be updated according to the progress in the peer review and publication procedure.</p>
Dataset: Heart Test Laboratories, Inc. (HSCSW) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Heart Test Laboratories, Inc. (HSCS) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Fig.3. Relation between depression level expresed Fig.4 in Oxidative Stress Indicators, Depression And Qua Lity Of Live L Evel S In Co Rona Ry Heart Disease Patients
Fig.3. Relation between depression level expresed Fig.4. Box plot displaying the distribution of the in Geriatric depression score points and oxidative data showing differences in Geriatric depression stress parameter (GPx) score points in primary and recurrent SCHD patients according to gender.
Fig.1. Relation between depression level expresed Fig.2 in Oxidative Stress Indicators, Depression And Qua Lity Of Live L Evel S In Co Rona Ry Heart Disease Patients
Fig.1. Relation between depression level expresed Fig.2. Relation between depression level expresed in Geriatric depression score points andlevelof in Geriatric depression score points and oxidative life Quality. stress parameter (MDA).
Gene interaction networks from donor and failing heart gene expression
<p>These are the gene-gene interaction networks obtained from gene expression microarray data in the paper "Pathologic gene network rewiring implicates PPP1R3A as a central cardioprotective factor in pressure overload heart failure" by Cordero, Parikh, et al. The dataset contains the following items:</p> <p>* networks.zip: Compressed weighted matrices, in numpy format, for various methods in heart failure and donor cohorts, which are in the file name (ARACNE, JGL [Joint Graphical Lasso], Z-score, Pearson correlation, CLR [Context Likelihood of Relatedness])</p> <p>* wgcna.zip: Compressed weighted matrices, in numpy format, for WGCNA. These are the networks used in the paper.</p> <p>* network_gene_names.txt: Gene names for rows and columns of the gene networks in networks.zip</p> <p>* wgcna</p> <p>Construction of the networks were done as follows for each method:</p> <p>* For Pearson, Z-score, and CLR, we simply computed each relevant statistic in a pairwise manner, no thresholds were applied.</p> <p>* For ARACNE, we performed 500 bootstrapped iterations and searched the MI cutoff automatically using default parameters.</p> <p>* For JGL we performed an Akaike Information Criteria guided model selection by scanning the sparsity and group difference L1 penalty strengths.</p>
Figure 2 in Heart rate response and bimodal gas eXchange in three developmental stages of the bullfrog Lithobates catesbeianus (Anura: Ranidae)
Figure 2. Representative data recording of electrocardiogram (A) and aerial ventilation (B) in a premetamorphic Lithobates catesbeianus at 25°C. In B the signals show a ventilatory event where the tadpole renewed the air in its lungs, resulting in a marked drop in PO2 and an increase in PCO2. Following the ventilatory event, the expired air was mixed with the remaining air within the closed respirometry system, resulting in a PO2 slightly lower, and a PCO2 slightly greater, than before ventilation.
ScienceDex guides
Understand access before you commit
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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.