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217 results for “T2”
Grades / Calificaciones escolares // GRADES_Data_CC_T2-Post
<p>Evaluation of the academic performance of the children at the end of the second year of Primary Education. Data collected in four public schools in Castellón (Spain) in the spring of the school year 2010-11. Children’s school achievement has been evaluated in seven areas: mathematics, Spanish, Valencian, Nature and social sciences, English, artistic education, and physical education. The grade is expressed on a scale from 1 to 5, with 1 being insufficient/fail and 5 being excellent. To learn more about our research and access to other datasets of this or other measures, follow the link <a href="https://www.uji.es/departaments/psi/base/opengrei/">GREI Longitudinal Project</a></p> <p>//</p> <p>Evaluación del rendimiento académico de los niños-as al final del segundo curso de Educación Primaria. Datos recogidos en cuatro centros públicos de Castellón (España) en primavera del curso escolar 2010-11. Los niños-as han sido evaluados en siete áreas: matemáticas, lenguaje, valenciano, conocimiento del medio, inglés, educación artística y educación física. La nota está expresada en una escala de 1 a 5, siendo 1 insuficiente/suspenso y 5 sobresaliente. Para saber más sobre nuestra investigación y acceder a otros ficheros de datos de esta medida o de otras, siga el enlace <a href="https://www.uji.es/departaments/psi/base/opengrei/">Proyecto Longitudinal GREI</a>.</p>
Organizational Skills Training - Tier 2 (OST-T2)
ClinicalTrials.gov study NCT03443323. IPD Sharing: YES. Countries: 1. Publications: 5.
TORS for a T2 hypopharyngeal cancer
<p>The video shows the procedure of using Trans-Oral Robotic Surgery (TORS) via da-Vinci robot Si-system to resect a T2 hypopharyngeal cancer located at the medial wall of right side pyriform sinus on June 25, 2024. Under general anesthesia with oro-endotracheal intubation, right side pyriform sinus was exposed by Laryngeal Advanced Retractor System (LARS). With a panoramic view, the tumor could be en-bloc resected by using endo-wristed instruments (Maryland dissector at the left hand side and Mono-polar cautery at the right hand side). The superior laryngeal vessels encountered during tumor dissection could be endo-clipped by table side surgical assistant.</p>
MRI raw data: T2 weighted TSE scan of a healthy volunteer (32 channel head coil)
<p>T2 weighted TSE Scan of the brain of a healthy volunteer, 32 channel coil</p> <p>Sequence parameters:<br> TR 5000ms<br> TE 99ms<br> Turbo Factor 10<br> Matrix Size 256x256<br> In Plane Resolution 0.9mmx0.9mm<br> Slice Thickness 4mm<br> 3T System<br> 32 channel head coil</p> <p>Florian Knoll (florian.knoll@tugraz.at)<br> Date: 2.2.2011<br> </p>
MRI raw data: T2 weighted TSE scan of a healthy volunteer (4 channel head coil)
<p>T2 weighted TSE Scan of the brain of a healthy volunteer, 4 channel coil</p> <p>Sequence parameters:<br> TR 5000ms<br> TE 99ms<br> Turbo Factor 10<br> Matrix Size 256x256<br> In Plane Resolution 0.9mmx0.9mm<br> Slice Thickness 4mm<br> 3T System<br> 4 channel head coil</p> <p>Florian Knoll (florian.knoll@tugraz.at)<br> Date: 2.2.2011<br> </p>
Data on transactions per capita (T1), the payment instruments (T2), the payment systems (T3), and the payment channels (T4).
<p>Data provided by Bank Negara Malaysia (BNM) and Department of Statistics Malaysia (DOSM) on the GDP, volume and value of cashless payment methods in Malaysia. These data include the transactions per capita (T1), the payment instruments (T2), the payment systems (T3), and the payment channels (T4).</p>
NMR_T2_evaporation-of-water_porous-media
<p>Nuclear magnetic resonance (NMR) transversal relaxation time T2 during evaporation of water from porous media was collected. Both homogeneous and inhomogeneous porous media was applied in experiments. Homogeneous porous media was made of uniform-sized glass beads with diameter at either 25 μm or 150 μm. Inhomogeneous porous media included two parts with top and bottom part made of fine and coarse beads respectively. By adjusting the proportion of each part, multiple inhomogeneous porous media was made. The temperature during experiment was controlled at 50 °C and T2 data was recorded every 30 minutes (individual experiment lasted from 3 to 5 days). Carr-Purcell-Meiboom-Gill (CPMG) sequence was applied in data recording and parameters were set at TE=0.2 ms and NECH=18000. Each recording collects 5000 pairs of T2 and corresponding signal amplitude, based on which the transient water content and distribution could be obtained.</p>
Open access GIS database using T2 outputs
<p>Open access GIS database using the ouputs from BRIDGE Task 2 (Innovation Laboratory - InnoLab). </p> <p>This GIS dataset is composed by several shape files and pdf files with the inputs and results from the participatory mapping process. </p> <p>For more information on the BRIDGE InnoLab Participatory Mapping process please look for the project deliverables and papers available in the BRIDGE Zenodo community (https://zenodo.org/communities/bridge_community/records?q=&l=list&p=1&s=10&sort=newest) or in the BRIDGE website (https://bridgecomunidade.pt/recursos/).</p>
T2* and quantitative susceptibility mapping in an equine model of post-traumatic osteoarthritis: prediction of mechanical and structural properties
<p>Dataset for the manuscript titled "T2* and quantitative susceptibility mapping in an equine model of post-traumatic osteoarthritis: assessment of mechanical and structural properties"</p>
Respiratory-triggered MRCP acquisition at 3T using a T2-weighted TSE (3D SPACE) sequence for Deep Learning-based reconstruction of MRCP
<h1>Description</h1> <p>This dataset is the sample data for MRCP_DLRecon (<a href="https://github.com/JinhoKim46/MRCP_DLRecon">GitHub</a>). <br>Place this dataset in the "Sample_data/" directory along with the "dataset.csv" file. </p> <h1>Data</h1> <p>The provided 3D MRCP data were acquired at 3T (Skyra, Siemens Healthineers AG, Erlangen) using the 3D-SPACE (3D T2w TSE) sequence for a single healthy volunteer. We provide two 2x and one 6x 3D MRCP data to ensure various training and testing scenarios. Each data in the HDF5 format contains the following structures:</p> <ul> <li>Datasets <ul> <li><strong>grappa</strong>: target data (y * x *<em> </em>slice)</li> <li><strong>kdata_raw</strong>: Raw <em>k</em>-space data (x2 or x6) (nCoil * PE * RO * slice)</li> <li><strong>kdata_fs</strong>: Fully-sampled k-space data from <strong>kdata_raw</strong> using GRAPPA (nCoil ×× PE ×× RO ×× Slice)</li> <li><strong>sm_espirit</strong>: ESPIRiT-based sensitivity maps (nCoil * y * x * slice)</li> </ul> </li> </ul> <h1>Citation</h1> <p>Please cite the following <a href="https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/nbm.70002" target="_blank" rel="noopener">paper</a> if this dataset is helpful for your research :)</p> <blockquote> <p>Kim, J., Nickel, M. and Knoll, F. (2025), Deep Learning-Based Accelerated MR Cholangiopancreatography Without Fully-Sampled Data. NMR in Biomedicine, 38: e70002. https://doi.org/10.1002/nbm.70002 </p> </blockquote>
TORS for a T2 posterior pharyngeal wall cancer
<p>The video shows the procedure of using Trans-Oral Robotic Surgery (TORS) via da-Vinci robot Xi-system to resect a T2 posterior pharyngeal wall cancer extending from hypopharynx to oropharynx on Nov. 20, 2020. Under general anesthesia with oro-endotracheal intubation, posterior pharyngeal wall was exposed by Laryngeal Advanced Retractor System (LARS). With a panoramic view, the tumor could be en-bloc resected by using endo-wristed instruments (Maryland dissector at the left hand side and Mono-polar cautery at the right hand side).</p>
Prostate MRI T2-weighted images with peripherial and trasition zone segmentations including corresponding PIRADS and PSA values
<p>This dataset contains 114 t2-weighted MRI images of the prostate with corresponding segmentations.The segmentations include two labels, 1 - Transition Zone, 2 - Peripherial Zone. Most of the images include corresponding PIRADS and PSA values, which are available in the file PSA_PIRADS.csv.</p> <p>For more information concerning the images, see the following article.</p> <p>Please cite the following articles, if you are using this dataset:</p> <p>Gibala, S.; Obuchowicz, R.; Lasek, J.; Schneider, Z.; Piorkowski, A.; Pociask, E.; Nurzynska, K. Textural Features of MR Images Correlate with an Increased Risk of Clinically Significant Cancer in Patients with High PSA Levels. <em>J. Clin. Med.</em> <strong>2023</strong>, <em>12</em>, 2836. https://doi.org/10.3390/jcm12082836</p> <p>Gibała, S.; Obuchowicz, R.; Lasek, J.; Piórkowski, A.; Nurzynska, K. Textural Analysis Supports Prostate MR Diagnosis in PIRADS Protocol. <em>Appl. Sci.</em> <strong>2023</strong>, <em>13</em>, 9871. https://doi.org/10.3390/app13179871</p>
Data From: B1 Field inhomogeneity correction for qDESS T2 mapping: application to rapid bilateral knee imaging
<p><strong>Purpose</strong>: T2 mapping is a powerful tool for studying osteoarthritis (OA) changes and bilateral imaging may be useful in investigating the role of between-knee asymmetry in OA onset and progression. The quantitative double-echo in steady-state (qDESS) can provide fast simultaneous bilateral knee T2 and high-resolution morphometry for cartilage and meniscus.<br> The qDESS uses an analytical signal model to compute T2 relaxometry maps, which require knowledge of the flip angle (FA). <br> In the presence of B1 inhomogeneities, inconsistencies between the nominal and actual FA can affect the accuracy of T2 measurements.<br> We propose a pixel-wise B1 correction method for qDESS T2 mapping exploiting an auxiliary B1 map to compute the actual FA used in the model.<br> <br> <strong>Methods</strong>: The technique was validated in a phantom and in vivo with simultaneous bilateral knee imaging. <br> T2 measurements of femoral cartilage (FC) of both knees of six healthy participants were repeated longitudinally to investigate the association between T2 variation and B1.</p> <p><strong>Results</strong>: The results showed that applying the B1 correction mitigated T2 variations that were driven by B1 inhomogeneities. <br> Specifically, T2 left-right symmetry increased following the B1 correction (rc = 0.74 > rc = 0.69). Without the B1 correction, T2 values showed a linear dependence with B1. The linear coefficient decreased using the B1 correction (from 24.3 <span class="math-tex">\(\pm\)</span> 1.6 ms to 4.1 <span class="math-tex">\(\pm\)</span> 1.8) and the correlation was not statistically significant after the application of the Bonferroni correction (p-value > 0.01).<br> <br> <strong>Conclusion</strong>: the study showed that B1 correction could mitigate variations driven by the sensitivity of the qDESS T2 mapping method to B1, therefore increasing the sensitivity to detect real biological changes. The proposed method may improve the robustness of bilateral qDESS T2 mapping, allowing for an accurate and more efficient evaluation of OA pathways and pathophysiology through longitudinal and cross-sectional studies.</p> <p><strong>This repository contains the raw data for reproducing the results reported in the paper. The data are provided in NIFTI format. The repository also contains the MALTAB scripts used to compute B<sub>1</sub> maps from the NIFTI data.</strong></p>
GPT vs Stack Overflow: data collection (A2I2 T2 2023)
<p><strong>About</strong></p> <p>The dataset components produced by <a href="https://github.com/MHLoppy/A2I2-T2-2023">this repo</a>. Please see the documentation there for more information.</p> <p>Each CSV has been individually zipped so that you only have to download the specific file(s) that you want.</p> <p> </p> <p><strong>Overview of Files</strong></p> <p>From using the <a href="https://archive.org/details/stackexchange">Stack Exchange Data Dump</a> as the data source (these zip files have a <strong>DD_</strong> prefix):</p> <ul> <li>Raw dataset before processing: <strong>saved_dataset.csv (DD_saved_dataset.zip)</strong></li> <li>Completed tag count: <strong>tag_count.csv (DD_tag_count.zip)</strong></li> <li>Processed dataset with completed evaluations: <strong>dataset_results.csv (DD_dataset_results.zip)</strong></li> </ul> <p>From using Google BigQuery as the data source (these zip files have a <strong>BQ_</strong> prefix):</p> <ul> <li>Raw dataset before processing: <strong>saved_dataset.csv (BQ_saved_dataset.zip)</strong></li> <li>Completed tag count: <strong>tag_count.csv (BQ_tag_count.zip)</strong></li> <li><em>No large-scale evaluation was completed when using BigQuery as a data source.</em></li> </ul> <p>As noted in the linked repo, the use of Google BigQuery as a data source is not recommended for this work, but the working code and dataset have nonetheless been provided for completeness.</p> <p> </p> <p><strong>License</strong></p> <p>This dataset is licensed under the <a href="https://creativecommons.org/licenses/by-sa/4.0/">CC BY-SA 4.0 license</a>, the same license used by the Stack Exchange Data Dump.</p>
Cardiac T2* in Beta-thalassemia Patients on Deferasirox Treatment
ClinicalTrials.gov study NCT00447694. IPD Sharing: Not stated. Countries: 1. Publications: 2.
SGLT-2 Inhibitor and Myocardial Perfusion, Function and Metabolism in T2 DM Patients at High Cardiovascular Risk
ClinicalTrials.gov study NCT03151343. IPD Sharing: NO. Countries: 1. Publications: 25.
19(T2)28z1xx Chimeric Antigen Receptor (CAR) T Cells in People With B-Cell Cancers
ClinicalTrials.gov study NCT04464200. IPD Sharing: YES. Countries: 1. Publications: 2.
Durvalumab And Radiation Therapy Followed by Adjuvant Durvalumab in Patients With Urothelial Cancer (T2-4 N0-2 M0) of the Bladder
ClinicalTrials.gov study NCT02891161. IPD Sharing: Not stated. Countries: 1. Publications: 1.
CGM Boosted by Artificial Intelligence for Better Glycaemic Control in T2 Diabetes
ClinicalTrials.gov study NCT07064499. IPD Sharing: UNDECIDED. Countries: 1. Publications: 7.
Measurement of biochemical Marker Dynamics in serum levels of calcium, phosphorus, P1NP, and CTX across three time points (T0, T1, T2) following treatment with dimeric R25CPTH(1-34), rhPTH(1-34), and control
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