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641 results for “data validation”
Raw data used in Akshay Madhav Deshmukh and Ricardo Chalmeta 2025 DEVELOPMENT AND VALIDATION OF A USER EXPERIENCE EVALUATION QUESTIONNAIRE FOR VOICE USER INTERFACES
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Data base for Expali validation
<p>206 patients with eating dorders to validate clinical algorithm</p>
Histological validation of per-bundle water diffusion metrics within a region of fiber crossing following axonal degeneration - Synthetic data
<p>Analysis of dMRI of the optic chiasm using CSD revealed unexpectedly high AFD of the intact bundle in the experimental animals. To evaluate whether this finding is an artifact produced by CSD, we used analytic synthetic data. Using the multi-tensor model, two sets of synthetic dMRI data were created consisting of 100 voxels, each with two tensors crossing at right angles. For each voxel, one tensor was modelled as an “intact” fiber bundle, following the DTI metrics observed in our experimental data (λ∥=0.64 and λ⟂=0.12 ×10-3 mm²/s), while the other tensor was modelled as an “injured” fiber bundle (λ∥=0.42 and λ⟂=0.22 ×10-3 mm²/s). Volume fractions were set as f=0.5 for both tensors. The multi-shell scheme to generate the synthetic signals consisted of 20 b=0 s/mm², and 160 DWI volumes, consisting of 80 diffusion gradient orientations, each with two distinct b values, namely b=1000 and 3000 s/mm². Signal-to-noise ratio was set at 20. </p> <p>Diffusion-weighted parameters are shown in the corresponding *protocol.txt files, organized as in the MRtrix gradient scheme (https://mrtrix.readthedocs.io/en/latest/concepts/dw_scheme.html), namely one row per volume, each containing the vector [x y z b], where x, y, and z, correspond to the components of the diffusion gradient direction, and b is the b value in s/mm^2.</p> <p>Refers to:</p> <p>Rojas-Vite, Gilberto, Coronado-Leija, Ricardo, Narvaez-Delgado, Omar, Ramirez-Manzanares, Alonso, Marroquin, Jose-Luis, Noguez-Imm, Ramses, Aranda, Marcos L, Scherrer, Benoit, Larriva-Sahd, Jorge, Concha, Luis: Histological validation of per-bundle water diffusion metrics within a region of fiber crossing following axonal degeneration , Available at bioRxiv, doi.org/10.1101/571539, 2019.</p>
Continuous Digital Monitoring of Walking Speed in Frail Elderly Patients: Noninterventional Validation Study and Longitudinal Clinical Trial (Data for interventional clinical trial)
<p>Digital technologies and advanced analytics have drastically improved our ability to capture and interpret health relevant data from patients. However, to date, limited data and results have been published detailing real-world patient compliance, demonstrating accuracy in target indications or examining what novel insights and clinical value can be derived. Here we present novel, digital mobility data from two studies: an independent, non-interventional validation study with elderly, naturally slow walking subjects, and a global, multi-site phase IIb clinical trial involving patients with age-related muscle loss and slow walking speed (sarcopenia). Based on these data, we validate the accuracy of a novel algorithm for capturing in-clinic and real-world gait speed in frail, slow-walking adults. We demonstrate the feasibility of continuous monitoring with a wearable inertial sensor in elderly adults in real-world settings, and propose minimum thresholds for compliance required for robust capture of gait behaviors in this population. We also show how simple, inferred contextual information, describing the length of a given walking bout, can explain some of the variation in real-world gait speed, and use this information to demonstrate for the first time a relationship between in-clinic performance and real-world gait speed behavior. This work lays a foundation for exploration of the clinical relevance and value of such measures and is a first step in building a more complete chain of evidence between standardized physical performance assessment, real-world behavior, and subjective perceptions of mobility, independence and health.</p> <p>This dataset contains data collected during the interventional clinical trial: derived data from raw accelerometry data, and summary performance data.</p> <p>The full dataset, including raw accelerometry data, is available here: <a href="https://mueller-et-al-2019.s3.amazonaws.com/index.html">https://mueller-et-al-2019.s3.amazonaws.com/index.html</a></p>
Data from: Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure
Ecological data often show temporal, spatial, hierarchical (random effects), or phylogenetic structure. Modern statistical approaches are increasingly accounting for such dependencies. However, when performing cross-validation, these structures are regularly ignored, resulting in serious underestimation of predictive error. One cause for the poor performance of uncorrected (random) cross-validation, noted often by modellers, are dependence structures in the data that persist as dependence structures in model residuals, violating the assumption of independence. Even more concerning, because often overlooked, is that structured data also provides ample opportunity for overfitting with non-causal predictors. This problem can persist even if remedies such as autoregressive models, generalized least squares, or mixed models are used. Block cross-validation, where data are split strategically rather than randomly, can address these issues. However, the blocking strategy must be carefully considered. Blocking in space, time, random effects or phylogenetic distance, while accounting for dependencies in the data, may also unwittingly induce extrapolations by restricting the ranges or combinations of predictor variables available for model training, thus overestimating interpolation errors. On the other hand, deliberate blocking in predictor space may also improve error estimates when extrapolation is the modelling goal. Here, we review the ecological literature on non-random and blocked cross-validation approaches. We also provide a series of simulations and case studies, in which we show that, for all instances tested, block cross-validation is nearly universally more appropriate than random cross-validation if the goal is predicting to new data or predictor space, or for selecting causal predictors. We recommend that block cross-validation be used wherever dependence structures exist in a dataset, even if no correlation structure is visible in the fitted model residuals, or if the fitted models account for such correlations.
Data from: Validation of the GARD™skin assay for assessment of chemical skin sensitizers – ring trial results of predictive performance and reproducibility
Proactive identification of chemicals with skin sensitizing properties is a key toxicological endpoint within chemical safety assessment. In order to meet recent legislations and increase animal welfare, considerable efforts have been made to develop non-animal approaches to replace current animal testing. Genomic Allergen Rapid Detection (GARD™) is a state-of-the-art technology platform, the most advanced application of which is the assay for assessment of skin sensitizing chemicals, GARD™skin. The methodology is based on a dendritic cell (DC)-like cell line, thus mimicking the mechanistic events leading to initiation and modulation of downstream immunological responses. Induced transcriptional changes are measured following exposure to test chemicals, providing a detailed evaluation of cell activation. These changes are associated with the immunological decision-making role of DCs in vivo and include among other phenotypic modifications, up-regulation of co-stimulatory molecules, induction of cellular and oxidative stress pathways and xenobiotic responses. Here, results from an inter-laboratory ring trial of GARD™skin, conducted in compliance with OECD guidance documents and comprising a blinded chemical test set of 28 chemicals, are summarized. The assay was found to be transferable to naïve laboratories, with an inter-laboratory reproducibility of 92.0%. The within-laboratory reproducibility ranged between 82.1-88.9%, while the cumulated predictive accuracy across the three laboratories was 93.8%. Based on these and previously published data, it is concluded that GARD™skin is a robust and reliable method for the identification of skin sensitizing chemicals and suitable for use as a stand-alone assay. These data form the basis for the regulatory validation of GARD™skin.
Data from: A probabilistic metric for the validation of computational models
A new validation metric is proposed that combines the use of a threshold based on the uncertainty in the measurement data with a normalised relative error, and that is robust in the presence of large variations in the data. The outcome from the metric is the probability that a model's predictions are representative of the real world based on the specific conditions and confidence level pertaining to the experiment from which the measurements were acquired. Relative error metrics are traditionally designed for use with series of data values but orthogonal decomposition has been employed to reduce the dimensionality of data matrices to feature vectors so that the metric can be applied to fields of data. Three previously published case studies are employed to demonstrate the efficacy of this quantitative approach to the validation process in the discipline of structural analysis, for which historical data was available; however, the concept could be applied to a wide range of disciplines and sectors where modelling and simulation plays a pivotal role.
Data from: Validation of diffusion tensor imaging measures of nigrostriatal neurons in macaques
Objective: Interpretation of diffusion MRI in the living brain requires validation against gold standard histological measures. We compared diffusion values of the nigrostriatal tract to PET and histological results in non-human primates (NHPs) with varying degrees of unilateral nigrostriatal injury induced by MPTP, a toxin selective for dopaminergic neurons. Methods: Sixteen NHPs had MRI and PET scans of three different presynaptic radioligands and blinded video-based motor ratings before and after unilateral carotid artery infusion of variable doses of MPTP. Diffusion measures of connections between midbrain and striatum were calculated. Then animals were euthanized to quantify striatal dopamine concentration, stereologic measures of striatal tyrosine hydroxylase (TH) immunostained fiber density and unbiased stereologic counts of TH stained nigral cells. Results: Diffusion measures correlated with MPTP dose, nigral TH-positive cell bodies and striatal TH-positive fiber density but did not correlate with in vitro nigrostriatal terminal field measures or in vivo PET measures of striatal uptake of presynaptic markers. Once nigral TH cell count loss exceeded 50% the stereologic terminal field measures reached a near zero floor effect but the diffusion measures continued to correlate with nigral cell counts. Conclusion: Diffusion measures in the nigrostriatal tract correlate with nigral dopamine neurons and striatal fiber density, but have the same relationship to terminal field measures as a previous report of striatal PET measures of presynaptic neurons. These diffusion measures have the potential to act as non-invasive index of the severity of nigrostriatal injury. Diffusion imaging of the nigrostriatal tract could potentially have diagnostic value in humans with Parkinson disease or related disorders.
Forecasting seizure risk in adults with focal epilepsy: a development and validation study - Data
<p><strong>Data for the article 'Forecasting seizure risk in adults with focal epilepsy: a development and validation study'</strong></p> <p>Includes deidentified individual data in the form of interictal epileptiform activity counts and electrographic seizures for the 18 patients in the development cohort.</p>
Data from: Identification and validation of a novel immune-related signature associated with macrophages and CD8 T cell infiltration predicting overall survival for hepatocellular carcinoma
<p><b>Background:</b> Although the effects of macrophages and CD8 T cell infiltration on clinical outcomes have been widely reported, the association between immunity-associated gene with them for hepatocellular carcinoma (HCC) remains unclear.</p> <p><b>Materials and methods: </b>The ssGSEA served for quantifying the macrophages as well as CD8 T cell infiltration in the HCC samples obtained from TCGA database. Kaplan-Meier(KM) survival assay was used to determine the associations between macrophages and CD8 T cell infiltration with OS. LASSO Cox regressive method assisted in developing an immune gene signature as well as building a risk score. The performance was evaluated by the time-dependent ROC together with the KM survival analysis. The ICGC database were adopted for external verification. CIBERSORT was applied to the correlation analysis on the immune-related signature and the immunocyte infiltration. GSEA were employed exploring the underlying molecular mechanisms.</p> <p><b>Results:</b> Increased CD8+ T cell infiltration was associated with longer OS, whereas a greater infiltration of macrophages was related to shorter OS. There were 398 differential expression genes (DEGs) between the high- and low infiltration groups with the "edgeR" package. A prognostic signature consisted of 10 immune genes was built in TCGA and examined in ICGC. The uniform cutoff (0.927) was adopted for separating sufferers into the high-risk(HR) and low-risk(LR) groups. The ROC curves revealed that the AUC data for this signature predicting 1,2,3,4 and 5 year were all above 0.7 in both TCGA and ICGC cohort and patients in the HR<sub> </sub>group exhibited evidently weaker prognostic results compared with the LR group. The HR<sub> </sub>group presented evidently greater Tregs and Macrophage M0 relative to the LR group, whereas the LR group saw the enrichment of CD8 T cells.</p> <p><b>Conclusion:</b> The immune signature associated with macrophages as well as CD8 T cell infiltration has reliable prognostic and predictive value for HCC patients.</p>
Fig. 6 in Novel data support validity of Phoxinus chrysoprasius (Pallas, 1814) (Actinopterygii, Leuciscidae)
Fig. 6. Phoxinus chrysoprasius (Pallas, 1814), living specimen, spawning male, Angara River, Salhir drainage, 44°51ʹ12ʺ N, 34°18ʹ47ʺ E; 16 Jun. 2003.
Particle tracking algorithm and additional data for "Optimized and Validated Settling Velocity Measurement for Small Microplastic Particles (10–400 µm)"
<p>This repository provides additional files for in the publication "Optimized and Validated Settling Velocity Measurement for Small Microplastic Particles (10–400 µm)" by Stefan Dittmar, Aki Sebastian Ruhl and Martin Jekel (DOI: <a href="https://www.doi.org/10.1021/acsestwater.3c00457">10.1021/acsestwater.3c00457</a>) </p><p>It contains:</p><p>- image processing routine for particle tracking written in Python (<strong>1_particle_tracking_algorithm.zip</strong>)<br>- single particle raw data from settling experiments (<strong>2_settling_data.zip</strong>)<br>- single particle data from appyling empirical model for interactions between settling particles (<strong>3_model_results_data.zip</strong>)<br>- additional video & animated graph referenced in publication or SI (<strong>4_videos.zip</strong>)</p>
Data for "Validating Ionospheric Models Against Technologically Relevant Metrics"
<p>Data for "Validating Ionospheric Models Against Technologically Relevant Metrics"</p>
Data of the Paper: Analytical Modeling and Empirical Validation of Performability of Service- and Cloud-Based Dynamic Routing Architecture Patterns
<p>The online artifacts for the following article accepted at 30th Asia-Pacific Software Engineering Conference (APSEC 2023): </p><p>"Analytical Modeling and Empirical Validation of Performability of Service- and Cloud-Based Dynamic Routing Architecture Patterns"</p><p>Abstract:</p><p>Many dynamic routing architectural patterns are available, including distributed routing, e.g., using the sidecar pattern, or centralized routing, e.g., using event stores or service buses. Different Quality-of-Service (QoS) factors influence routing schemas and technology selection, such as performance, reliability, scalability, and control properties offered by the patterns. An analytical model can formalize the QoS factors and facilitate the architectural decision-making when changing the routing scheme, i.e., to more distributed or centralized routing. So far, the impact of these architectural patterns on performability, i.e., the overall performance of a system with impeded reliability, has not been extensively studied. This is important because deciding to increase performance, e.g., by parallel processing of requests, may lead to decreased reliability because of the added points of a crash. We propose an analytical performability model during component crashes. For the empirical validation of our proposed model, we ran an extensive experiment of 2412 hours of runtime on a private cloud infrastructure and Google Cloud Platform. The low prediction error of 1.75\% indicates the high accuracy of our performability model. These results provide important insights when making architectural decisions regarding service- and cloud-based dynamic routing.</p>
Validation of Predictors of OAC Initiation Using EMR Data
ClinicalTrials.gov study NCT03006341. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Oxygen Reserve Index (ORi) Expanded Data Set Validation of INVSENSOR00029
ClinicalTrials.gov study NCT04079842. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Validation of Chlamydia Diagnostic Codes in TriNetX US EHR Data
ClinicalTrials.gov study NCT07094373. IPD Sharing: YES. Countries: 1. Publications: 0.
Sub-study for the Validation and Calibration of Data Regarding Physical Activity, Anthropometry and Diet
ClinicalTrials.gov study NCT03216161. IPD Sharing: NO. Countries: 0. Publications: 2.
Oxygen Reserve Index (ORi) Expanded Data Set Validation of INVSENSOR00025
ClinicalTrials.gov study NCT04079816. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Numerical simulations of targeted delivery of magnetic drug aerosols in the human upper and central respiratory system: a validation study
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.