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328 results for “Analysis results”
Results and Analysis of the Systematic Literature Review of the IPBES Global Assessment, Chapter 4
<p>The anonymised data</p>
Dataset related to article "Frozen Section Analysis and Real-Time Magnetic Resonance Imaging of Surgical Specimen Oriented on 3D Printed Tongue Model to Assess Surgical Margins in Oral Tongue Carcinoma: Preliminary Results"
<p>This record contains raw data related to article “Frozen Section Analysis and Real-Time Magnetic Resonance Imaging of Surgical Specimen Oriented on 3D Printed Tongue Model to Assess Surgical Margins in Oral Tongue Carcinoma: Preliminary Results"</p> <p>Abstract</p> <p><strong>Background: </strong> A surgical margin is the apparently healthy tissue around a tumor which has been removed. In oral cavity carcinoma, a negative margin is considered ≥ 5 mm, a close margin between 1 and 5 mm, and a positive margin ≤ 1 mm. Currently, the intraoperative surgical margin status is based on the visual inspection and tissue palpation by the surgeon and intraoperative histopathological assessment of the resection margins by frozen section analysis (FSA). FSA technique is limited and susceptible to sampling errors. Definitive information on the deep resection margins requires postoperative histopathological analysis.</p> <p><strong>Methods: </strong> We described a novel approach for the assessment of intraoperative surgical margins by examining a surgical specimen oriented through a 3D-printed specific patient tongue with real-time Magnetic Resonance Imaging (MRI). We reported the preliminary results of a case series of 10 patients, prospectively enrolled, with oral tongue carcinoma who underwent surgery between February 2020 and April 2021. Two radiologists with 5 and 10 years of experience, respectively, in Head and Neck radiology in consensus evaluated specimen MRI and measured the distance between the tumor and the specimen surface. We performed intraoperative bedside FSA. To compare the performance of bedside FSA and MRI in predicting definitive margin status we computed the weighted sensitivity (SE), specificity (SP), accuracy (ACC), area under the ROC curve (AUC), F1-score, Positive Predictive Value (PPV), and Negative Predictive Value (NPV). To express the concordance between FSA and <em>ex-vivo</em> MRI we reported the jaccard index.</p> <p><strong>Results: </strong> Intraoperative bedside FSA showed SE of 90%, SP of 100%, F1 of 95%, ACC of 0.9%, PPV of 100%, NPV (not a number), and jaccard of 90%, and <em>ex-vivo</em> MRI showed SE of 100%, SP of 100%, F1 of 100%, ACC of 100%, PPV of 100%, NPV of 100%, and jaccard of 100%. These results needed to be validated in a larger sample size of 21- 44 patients.</p> <p><strong>Conclusion: </strong> The presented method allows a more accurate evaluation of surgical margin status, and the first clinical experiences underline the high potential of integrating FSA with <em>ex-vivo</em> MRI of the fresh surgical specimen.</p>
A Comparative Analysis of Shoes Designed for Subjects with Obesity Using a Single Inertial Sensor: Preliminary Results
<p>Walking remains a highly recommended form of exercise for the management of obesity. Thus, comfortable and adequate shoes represent, together with the prescription of a safe adapted physical activity, an important means to achieve the recommended physical activity target volume. However, the literature on shoes specific for obese individuals is inadequate. The aim of the present study was to compare the performance of shoes specifically designed for subjects with obesity with everyday sneakers during instrumented 6-min walking test and outdoor 30-min ambulation in a group of subjects with obesity using a single wearable device. Twenty-three obese individuals (mean age 58.96 years) were recruited and classified into two groups: deconditioned (n = 13) and non-deconditioned patients (n = 10). Each participant was evaluated with his/her daily sneakers and the day after with shoes specifically designed for people with obesity by means of a questionnaire related to the comfort related to each model of shoes and instrumentally during the i6MWT and an outdoor walking test. The results showed that the specifically designed shoes displayed the higher score as for comfort, in particular in the deconditioned group. During the i6MWT, the distance walked, and step length significantly increased in the deconditioned group when specifically designed shoes were worn; no significant changes were observed in the non-deconditioned individuals. The deconditioned group displayed longer step length during the outdoor 30-min ambulation test. In the non-deconditioned group, the use of specific shoes correlated to better performance in terms of gait speed and cadence. These data, although preliminary, seem to support the hypothesis that shoes specifically conceived and designed for counteracting some of the known functional limitations in subjects with obesity allow for a smoother, more stable and possibly less fatiguing gait schema over time.</p>
Prenatal diagnosis, ultrasound results, pregnancy outcomes and follow-up information analysis of xp22.31 deletion duplication syndrome
GEO Series GSE299701. Homo sapiens. 21 samples. Type: Genome variation profiling by SNP array.
Transcriptome profile analysis of overexpression of SlRBZ results in etiolation and dwarfism by impairing chlorophyll, carotenoid, and gibberellin biosynthesis in tomato
GEO Series GSE77340. Solanum lycopersicum. 2 samples. Type: Expression profiling by high throughput sequencing.
At-site flood frequency analysis results for 88 catchments in continental Chile
<p>This dataset contains climate and physiographic descriptors for 88 near-natural catchments located in Chile, between the Atacama and Araucania regions. Further, at-site flood frequency analysis results are reported for several return periods, along with maximum catchment-scale daily precipitation.</p>
InSAR analysis results of ALOS-2/PALSAR-2 data for landslide displacement of Owakudani, Hakone volcano, Japan
<p>This repository contains the InSAR products used in <a href="https://doi.org/10.1007/s10346-024-02224-w" target="_blank" rel="noopener">Doke et al. (2024 Landslides)</a>.</p> <p>If you want the dataset please contact me.</p> <p> </p> <p><strong>Dataset 1</strong>: DInSAR analysis result with NetCDF grid format.</p> <p>DInSAR.zip</p> <ol> <li>dslnt_pathname.grd <ul> <li>LOS displacement</li> </ul> </li> <li>los_e_pathname.grd <ul> <li>Eastward conponent of LOS direction</li> </ul> </li> <li>los_n_pathname.grd <ul> <li>Northward conponent of LOS direction</li> </ul> </li> <li>los_h_pathname.grd <ul> <li>Upward conponent of LOS direction</li> </ul> </li> <li>corr_pathname.grd <ul> <li>coherence</li> </ul> </li> </ol> <p> </p> <p><strong>Dataset 2</strong>: 3D analysis result with NetCDF grid format.</p> <p>3D_analysis.zip</p> <ol> <li>x.grd <ul> <li>Eastward component</li> </ul> </li> <li>y.grd <ul> <li>Northward component</li> </ul> </li> <li>z.grd <ul> <li>Upward component</li> </ul> </li> <li>SDX.grd <ul> <li>Standard deviation of Eastward component</li> </ul> </li> <li>SDY.grd <ul> <li>Standard deviation of Northward component</li> </ul> </li> <li>SDZ.grd <ul> <li>Standard deviation of Upward component</li> </ul> </li> </ol> <p> </p> <p><strong>Dataset 3</strong>: SBAS InSAR time series analysis result.</p> <p>SBAS_InSAR.zip</p> <ol> <li>p18_ts.nc <ul> <li>NetCDF grid format of SBAS_InSAR time series analysis result for Path18 </li> </ul> </li> <li>ts_disp_landslide.txt <ul> <li>Time series of LOS displacement at the location which showed maximum velocity</li> </ul> </li> </ol> <p> </p> <p><strong>Dataset 4</strong>: Simulation analysis result with NetCDF grid format.</p> <p>simulation.zip</p> <ol> <li>x_model.grd <ul> <li>Simulated Eastward component</li> </ul> </li> <li>y_model.grd <ul> <li>Simulated Northward component</li> </ul> </li> <li>z_model.grd <ul> <li>Simulated Upward component</li> </ul> </li> <li>x_res.grd <ul> <li>Residuals for Eastward component</li> </ul> </li> <li>y_res.grd <ul> <li>Residuals for Northward component</li> </ul> </li> <li>z_res.grd <ul> <li>Residuals for Upward component</li> </ul> </li> </ol>
Task 4.5 Table_4.5.3 Results of soil analysis of each fertility treatment main plot
<p>Results of soil samples.</p>
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.