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4,245 results for “Diagnostic”
Figure 1 in Diagnostic accuracy of loop-mediated isothermal amplification (LAMP) for screening patients with imported malaria in a non-endemic setting
Figure 1. Study flow chart.
Using explainable artificial intelligence as a diagnostic tool for exploration of hydrologic connectivity at watershed scale
<p><strong><span>Using explainable artificial intelligence as a diagnostic tool for exploration of hydrologic connectivity at watershed scale</span></strong></p>
Improved estimation of the prevalence of bovine cysticercosis and the diagnostic test characteristics in the absence of a reference standard using Bayesian Latent Class models, the example of Jimma and Ambo Abattoirs, Ethiopia
<p>Bovine cysticercosis is an infection of cattle musculature with the cestode parasite of humans known as Taenia saginata. This bovine cysticercosis data was collected from two Ambattoirs in Ethiopia namely Ambo and Jimma. Dissection of the predilection site, Ag-ELISA, and meat inspection were the diagnostic methods employed. Cysticerci collected during dissection of the predilection site were also confirmed using multiplex PCR. </p>
Fig. 1. A generalised lifecycle for the Theileria using T in A review of Theileria diagnostics and epidemiology
Fig. 1. A generalised lifecycle for the Theileria using T. parva as example.
Fig. 1 in Pneumocystis jirovecii-from a commensal to pathogen: clinical and diagnostic review
Fig. 1 Major issues related to PcP in non-HIV patients
Fig. 4 in Debilitating disease in a polyparasitised woylie (Bettongia penicillata): A diagnostic investigation
Fig. 4. Frontal view of the head of the woylie, showing thickened and inflamed lip margins.
Supporting data for "Taking connected mobile-health diagnostics of infectious diseases to the field"
<p>Raw and intermediate data used to create figures 1 and 4 of Wood, C.,<em> et al., "</em>Taking connected mobile-health diagnostics of infectious diseases to the field", <strong>Nature</strong> (2019).</p>
Diagnostic Evaluation of Large-domain Hydrologic Models calibrated across the Contiguous United States
<p>Data repository for: Rakovec, O., Mizukami, N., Kumar, R., Newman, A., Thober, S., Wood, A. W., et al. ( 2019). Diagnostic evaluation of large‐domain hydrologic models calibrated across the contiguous United States. <em>Journal of Geophysical Research: Atmospheres</em>, 2019; 124: 13991–14007. <a href="https://doi.org/10.1029/2019JD030767">https://doi.org/10.1029/2019JD030767</a></p> <p>If you use this dataset in scientific publication, the aforementioned publication needs to be acknowledged.</p> <p><strong>rakovec_JGRA_2019.tar.gz </strong>refers to the mHM model simulations</p> <p><strong>Mizukami_etal_2017_WRR_results.calib.basin.tar.gz</strong> refers to a dataset published earlier in Mizukami et al. (2017, doi: 10.1002/2017WR020401)</p> <p>#########################################################################</p> <p>## BASIN-WISE DISCHARGE SIMULATIONS:</p> <p>#########################################################################</p> <p><strong>(1) VIC model: CONUS-wide runs based on the Mizukami et al. 2017 WRR paper</strong></p> <p>stored under: Mizukami_etal_2017_WRR_results.calib.basin.tar.gz</p> <p>meaning, 1 parameter set applied across all basins.</p> <ul> <li>Calibration period: ./$BASIN_ID/output/hcdn_calib_case04_rgn0.txt</li> <li>Validation period: ./$BASIN_ID/output/hcdn_vali_case04_rgn0.txt</li> </ul> <p>Note the time stamp is missing in the VIC files, and should be following for</p> <ul> <li>calibration period: init_date="1999-10-01"</li> <li>validation periods: init_date="1989-10-01"</li> </ul> <p>Finally, headers are missing for the VIC files, should be:</p> <ul> <li>qsim is first column</li> <li>qobs is second column</li> </ul> <p><strong>(2) VIC model: onsite calibrations </strong></p> <p>stored under: Mizukami_etal_2017_WRR_results.calib.basin.tar.gz</p> <p>meaning, each basin has different parameter set </p> <ul> <li>Calibration period: ./$BASIN_ID/output/hcdn_calib_case04.txt</li> <li>Validation period: ./$BASIN_ID/output/hcdn_vali_case04.txt</li> </ul> <p><strong>(3) mHM model: CONUS-wide runs based on Rakovec et al. 2019 JGR-A</strong></p> <p>stored under: rakovec_JGRA_2019.tar.gz</p> <p>meaning, 1 parameter set applied across all basins.</p> <ul> <li>Calibration period: ./mHM_basins/$BASIN_ID/calib_001/output_calibMB_eval/daily_discharge.out</li> <li>Validation period: ./mHM_basins/$BASIN_ID/calib_001/output_validMB_eval/daily_discharge.out</li> </ul> <p><strong>(4) mHM model: onsite calibrations </strong></p> <p>stored under: rakovec_JGRA_2019.tar.gz</p> <p>meaning, each basin has different parameter set </p> <ul> <li>Calibration period: ./mHM_basins/$BASIN_ID/calib_001/output/daily_discharge.out</li> <li>Validation period: ./mHM_basins/$BASIN_ID/calib_001/output_valid/daily_discharge.out</li> </ul> <p><strong>(5) mHM model: default parameter set from EU/Germany</strong></p> <p>stored under: rakovec_JGRA_2019.tar.gz</p> <p>the prior parameter set taken from the develop git branch of mhm</p> <p>Note that the calibration and validation periods are in one file:</p> <ul> <li>./mHM_basins/$BASIN_ID/def_000/output/daily_discharge.out </li> </ul> <p>#########################################################################</p> <p>## CONUS-WISE FLUXES,STATES,PARAMETERS</p> <p>#########################################################################</p> <p><strong>(1) mHM model: CONUS-wide runs based on Rakovec et al. 2019 JGR-A</strong></p> <p>stored under: rakovec_JGRA_2019.tar.gz</p> <ul> <li>Fluxes/states: mHM_entire_domain/calib_001/output/mHM_Fluxes_States.nc (monthly time step: 1950-2010)</li> <li>Model parameters (from the restart file): mHM_entire_domain/calib_001/output/mHM_restart_001.nc</li> </ul> <p> </p>
Supplementary information to "Rainbow in the dark. The identification of diagnostic projectile impact features on rock crystal"
<p>Images of the experimental projectiles (pre-hafting, hafted before and after shooting), Hirox (Low magnification) pictures of pre-hafting and post-shooting projectiles and selection of fractures smoked with magnesium.</p>
Fig. 6 in A New Species Of Rana (Amphibia: Anura: Ranidae) From The Highlands Of The Malay Peninsula, With Diagnostic Larval Descriptions
Fig. 6. Lateral (a) and dorsal (b) aspects of advanced (Stage 43) larval Rana banjarana.
Fig. 5 in A New Species Of Rana (Amphibia: Anura: Ranidae) From The Highlands Of The Malay Peninsula, With Diagnostic Larval Descriptions
Fig. 5. Lateral (a) and dorsal (b) aspects of early (Stage 27) larval Rana banjarana.
Table 1 in Patterns of Fasciola hepatica infection in Danish dairy cattle: implications for on-farm control of the parasite based on different diagnostic methods
<p><b>Table 1</b> Summary of data used as inclusion criteria for the 4 farms in the study</p><table><tbody><tr><th>Farm</th><th>Year</th><th>No. of heifers</th><th>No. of cows</th><th>Total no. of cattle</th><th>Liver condemnation (%)</th><th>BTM ELISA value (S/P%)a</th></tr></tbody><tbody><tr><th>C1</th><td>2011</td><td>72.5</td><td>176.5</td><td>314</td><td>6.2</td><td><i>–</i></td></tr><tr><th></th><td>2012</td><td>65.5</td><td>184.5</td><td>303</td><td>21.3</td><td><i>–</i></td></tr><tr><th></th><td>2013</td><td>65</td><td>187.5</td><td>315</td><td>30.0</td><td><i>–</i></td></tr><tr><th></th><td>2014</td><td>63</td><td>183.5</td><td>312</td><td>18.6</td><td>179.3</td></tr><tr><th>C2</th><td>2011</td><td>103</td><td>135</td><td>292</td><td>8.3</td><td><i>–</i></td></tr><tr><th></th><td>2012</td><td>98.5</td><td>145</td><td>300</td><td>11.9</td><td><i>–</i></td></tr><tr><th></th><td>2013</td><td>105.5</td><td>144</td><td>314</td><td>16.1</td><td><i>–</i></td></tr><tr><th></th><td>2014</td><td>111</td><td>149</td><td>331</td><td>19.4</td><td>181.2</td></tr><tr><th>O1</th><td>2011</td><td>145</td><td>172</td><td>367</td><td>2.6</td><td><i>–</i></td></tr><tr><th></th><td>2012</td><td>141</td><td>168</td><td>362</td><td>7.6</td><td><i>–</i></td></tr><tr><th></th><td>2013</td><td>124</td><td>174.5</td><td>354</td><td>33.3</td><td><i>–</i></td></tr><tr><th></th><td>2014</td><td>172</td><td>183</td><td>425</td><td>23.3</td><td>221.4</td></tr><tr><th>O2</th><td>2011</td><td>90.5</td><td>113.5</td><td>251</td><td>18.1</td><td><i>–</i></td></tr><tr><th></th><td>2012</td><td>97.5</td><td>124</td><td>275</td><td>32.6</td><td><i>–</i></td></tr><tr><th></th><td>2013</td><td>111</td><td>131.5</td><td>282</td><td>27.7</td><td><i>–</i></td></tr><tr><th></th><td>2014</td><td>113</td><td>133.5</td><td>285</td><td>38.1</td><td>206.9</td></tr></tbody></table><p><sup>a</sup> by IDEXX ELISA test (cut-off is 30 and ≥ 150S/P% is considered high)</p>
OH mid-infrared emission as a diagnostic of H2O UV photodissociation. III. Application to planet-forming disks
<p>This repository contains the grid of MIRI-MRS synthetic spectra presented in Tabone, van Dishoeck, and Black 2024. In this work, we include in the DALI disk model prompt emission of OH following photodissociation of H2O in its B electronic state by photons at λ < 144 nm. The propensity of forming OH in the A’ symmetric states is taken into account. H2O and OH emission is calculated from 9 to 18 micron and convolved at a spectral resolution of R=2500 to be readily compared with JWST data.</p> <p>The python script plot_model.py can be used to plot a model.</p>
Data files for manuscript "Exome first approach to reduce diagnostic costs and time – retrospective analysis of 111 individuals with rare neurodevelopmental disorders"
<p>#2021-07-23<br> #Summary<br> This ZIP-file contains the Excel files used for the clinical and variant analyses for the manuscript "Exome first approach to reduce diagnostic costs and time – retrospective analysis of 111 individuals with rare neurodevelopmental disorders".</p> <p>#Folder structure<br> ./ (parent directory containing this README file and all subfolders)<br> ./Clinical/ (contains an Excel sheets with complete clinical data, costs and criteria)<br> ./Variants/ (contains an Excel sheet with all variant annotation)</p> <p>#Files and checksums<br> 6DB0EF10BE7A7AF5A18E523F33FB662A ./Clinical/FileS2_Clinical.xlsx<br> 0B0C1AFA0751B63A35DC99DB25546A38 ./Variants/FileS3_Variants.xlsx</p>
H-alpha Emission as a Diagnostic of Plasma Transport Mechanics in Centrifugal Magnetospheres
<p>Approximately one quarter of magnetic early (B5-B0) B-type type stars display Balmer line emission originating in centrifugal magnetospheres (CMs). Indeed, the CMs of these stars are uniquely detectable in all available magnetospheric diagnostics (radio synchrotron, NIR, Balmer emission, UV emission, and X-rays), and therefore represent an excellent opportunity for detailed study of magnetospheric plasmas. All CM host-stars are young, possess strong magnetic fields, and are rapid rotators, properties consistent with expectations from the Rigidly Rotating Magnetosphere model and evolutionary models incorporating magnetic braking. The nature of mass transport within CMs has been debated, with two competing scenarios: centrifugally driven magnetic reconnection due to overloading of the magnetic field by the stellar wind, and leakage arising from diffusion and drift of ions across magnetic field lines. We have conducted the first detailed study of the Halpha emission properties of the population of CM host stars. The results demonstrate that mass balancing must be accomplished by breakout. We find that emission strength is independent of mass-loss rate and can, to first order, be predicted simply by the strength of the equatorial magnetic field at the Kepler corotation radius. However, an apparent cutoff in the presence of emission lines at low luminosities may be indicative of diffusion/drift mechanisms becoming dominant in the weak-wind regime. We briefly point to potential implications of these results for X-ray and radio synchrotron emission.</p>
Diagnostic performance of LI-RADS in adult patients with rare hepatic tumors.
<p>We uploadedthe images of the manuscript "Diagnostic performance of LI-RADS in adult patients with rare hepatic tumors" pubished on European Review for Medical and Pharmacological Sciences 2021.</p>
COMPASS: A magnetic particle-based method for rapid and highly sensitive medical point-of-care diagnostic
<p>This Git consists of all data sets used for generating the figures for the manuscript:</p> <p>COMPASS: A magnetic particle-based method for rapid and highly sensitive medical point-of-care diagnostic</p> <p>Specific information can be find in the readme</p>
Diagnostic algorithm for surgical management of limbal stem cell deficiency
<p>Supplementary material (tables) for the article entitled "Diagnostic algorithm for surgical management of limbal stem cell deficiency".</p>
NGS data from: Detection of unintended on-target effects in CRISPR genome editing by DNA donors carrying diagnostic mutations
<p>We developed a method to detect copy number variation and loss of heterozygosity in genome-edited cell lines by only sequencing the edited site. We introduced different substitutions on both chromosomes of diploid H9 human embryonic stem cells using CRISPR/Cas9 and a mixture of homology-directed repair donor DNAs carrying different substitutions. Here, we deposit the associated sequencing data (BAM-files) generated by extracting genomic DNA from genome-edited H9 cells, PCR amplifying the region of interest and sequencing on a MiSeq platform. We sequenced the edited site of cell bulks to investigate the editing efficiencies of individual donors from the donor mixtures. For proof of concept, we isolated over 850 cellular clones from the edited cell bulks and sequenced the edited site and heterozygous positions flanking the edited site to determine the number of alleles at the edited site and detect copy-neutral loss of heterozygosity. Additionally, we sequenced the DNA donors to assess, the distribution of individual donors in the mixtures.</p>
Real-time Alignments for Predicting Decision-Making Time for Diagnostics over NGS Cycles
<p>Input datasets for an interpretable learning approach to predict decision-making time for diagnostics over NGS cycles. The dataset contains alignment files of two clinical sputum samples sequenced with an Illumina MiSeq sequencing device, and following a real-time sequencing protocol.</p> <p>The datasets consist of real-time alignment files for specific sequencing cycle intervals. The alignment has been performed to a database of respiratory microbes. Data preprocessing, including the removal of human host DNA, is integrated into the real-time alignment approach that has been applied to generate the alignments.</p>
ScienceDex guides
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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.