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443 results for “performance assessment”
Retrospective Assessment of the Risk of Peripartum Hemorrhage in Pregnant Women : Retrospective Assessment of the Diagnostic Performance of the HEMSTOP Standardized Questionnaire
ClinicalTrials.gov study NCT05191251. IPD Sharing: NO. Countries: 1. Publications: 10.
Assessment of Physical Performance With A Supplementation Containing HMB in a Sample of Old Women in Good Health
ClinicalTrials.gov study NCT02118181. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Non-lethal sampling for assessment of mitochondrial function does not affect metabolic rate and swimming performance
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Assessing the performance of index calibration survey methods to monitor populations of wide-ranging low-density carnivores
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Data supporting: Assessment of the performance of nonfouling polymer hydrogels utilizing citizen scientists
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Blowing in the wind: Experimental assessment of clinging performance and behavior in Anolis lizards during hurricane-force winds
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Data from: Testing weed risk assessment paradigms: intraspecific differences in performance and naturalisation risk outweigh interspecific differences in alien Brassica
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Data from: Assessing risks of invasion through gamete performance: farm Atlantic salmon sperm and eggs show equivalence in function, fertility, compatibility and competitiveness to wild Atlantic salmon
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Assessing the performance and efficiency of environmental DNA/RNA capture methodologies under controlled experimental conditions
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Data file for the paper: Colleen Jackson, Leonard Raymakers, Martijn Mulder and Anthony RJ Kucernak, "Assessing Electrocatalyst Hydrogen Activity and CO Tolerance: Comparison of Performance obtained using the High Mass Transport 'Floating Electrode' Technique and in Electrochemical Hydrogen Pumps", Applied Catalysis B: Environmental, 2020, https://doi.org/10.1016/j.apcatb.2020.118734
<p>This Excel spreadsheet contains the data used in generation of the figures in the paper</p> <p>Article title: Assessing Electrocatalyst Hydrogen Activity and CO Tolerance: Comparison of Performance obtained using the High Mass Transport 'Floating Electrode' Technique and in Electrochemical Hydrogen Pumps</p> <p>Journal title: Applied Catalysis B: Environmental, 2020</p> <p>Corresponding author: Professor ARJ Kucernak</p> <p>First author: Dr. C. Jackson</p> <p>First published version available online: 7-FEB-2020</p> <p>DOI information: 10.1016/j.apcatb.2020.118734</p> <p> </p>
Data and Intermediate Queries for: Evaluating institutional open access performance: Methodology, challenges and assessment
<p>This package provides the publicly sharable data for two related articles, alongside the key processing steps used to generate it.</p>
Data from: Evidence assessing the diagnostic performance of medical smartphone apps: a systematic review and exploratory meta-analysis
Objective: The number of mobile applications addressing health topics is increasing. Whether these apps underwent scientific evaluation is unclear. We comprehensively assessed papers investigating the diagnostic value of available diagnostic health applications using in-built smartphone-sensors. Methods: Systematic Review - Medline, Scopus, Web of Science inclusive Medical Informatics and Business Source Premier (by citation of reference) were searched from inception until December 15th, 2016. Checking of reference lists of review articles and of included articles complemented electronic searches. We included all studies investigating a health application that used in-built sensors of a smartphone for diagnosis of disease. The methodological quality of 11 studies used in an exploratory meta-analysis was assessed with the QUADAS-2 tool and the reporting quality with the STARD statement. Sensitivity and specificity of studies reporting two-by-two tables were calculated and summarized. Results We screened 3'296 references for eligibility. Eleven studies, most of them assessing melanoma screening apps, reported 17 two-by-two tables. Quality assessment revealed high risk of bias in all studies. Included papers studied 1'048 subjects (758 with the target conditions and 290 healthy volunteers). Overall, the summary estimate for sensitivity was 0.82 (95 % confidence interval (CI); 0.56 to 0.94) and 0.89 (95 %CI; 0.70 to 0.97) for specificity. Conclusions The diagnostic evidence of available health apps on Apple's and Google's app stores is scarce. Consumers and healthcare professionals should be aware of this when using or recommending them.
Data from: Further development of the Assessment of Military Multitasking Performance: iterative reliability testing
The Assessment of Military Multitasking Performance (AMMP) is a battery of functional dual-tasks and multitasks based on military activities that target known sensorimotor, cognitive, and exertional vulnerabilities after concussion/mild traumatic brain injury (mTBI). The AMMP was developed to help address known limitations in post concussive return to duty assessment and decision making. Once validated, the AMMP is intended for use in combination with other metrics to inform duty-readiness decisions in Active Duty Service Members following concussion. This study used an iterative process of repeated interrater reliability testing and feasibility feedback to drive modifications to the 9 tasks of the original AMMP which resulted in a final version of 6 tasks with metrics that demonstrated clinically acceptable ICCs of > 0.92 (range of 0.92–1.0) for the 3 dual tasks and > 0.87 (range 0.87–1.0) for the metrics of the 3 multitasks. Three metrics involved in recording subject errors across 2 tasks did not achieve ICCs above 0.85 set apriori for multitasks (0.64) and above 0.90 set for dual-tasks (0.77 and 0.86) and were not used for further analysis. This iterative process involved 3 phases of testing with between 13 and 26 subjects, ages 18–42 years, tested in each phase from a combined cohort of healthy controls and Service Members with mTBI. Study findings support continued validation of this assessment tool to provide rehabilitation clinicians further return to duty assessment methods robust to ceiling effects with strong face validity to injured Warriors and their leaders.
Toothbrushing behavior over time: a correlational analysis of repeatedly assessed brushing performance
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Assessment of Sustainability and Self-Healing Performances of Recycled Ultra-High-Performance Concrete
<p>Data set for a journal paper on </p> <p><span>Kannikachalam, N. P.; Marin Peralta, P. S.; Snoeck, D.; De Belie, N.; Ferrara, L., <em>Assessment of impact resistance recovery in Ultra High-Performance Concrete through stimulated autogenous self-healing in various healing environments,</em> Cem. Concr. Compos., vol. 143, p. 105239, Oct. 2023, doi: 10.1016/J.CEMCONCOMP.2023.105239.</span></p>
Performance and environmental accounting of nutrient cycling models to estimate nitrogen emissions in agriculture and their sensitivity in life cycle assessment
<p>Abstract</p> <p>Purpose</p> <p>Several models are available in the literature to estimate agricultural emissions. From life cycle assessment (LCA) perspective, there is no standardized procedure for estimating emissions of nitrogen or other nutrients. This article aims to compare four agricultural models (PEF, SALCA, Daisy and Animo) with different complexity levels and test their suitability and sensitivity in LCA.</p> <p>Methods</p> <p>Required input data, obtained outputs, and main characteristics of the models are presented. Then, the performance of the models was evaluated according to their potential feasibility to be used in estimating nitrogen emissions in LCA using an adapted version of the criteria proposed by the United Nations Framework Convention on Climate Change (UNFCCC), and other relevant studies, to judge their suitability in LCA. Finally, nitrogen emissions from a case study of irrigated maize in Spain were estimated using the selected models and were tested in a full LCA to characterize the impacts.</p> <p>Results and discussion</p> <p>According to the set of criteria, the models scored, from best to worst: Daisy (77%), SALCA (74%), Animo (72%) and PEF (70%), being Daisy the most suitable model to LCA framework. Regarding the case study, the estimated emissions agreed to literature data for the irrigated corn crop in Spain and the Mediterranean, except N<sub>2</sub>O emissions. The impact characterization showed differences of up to 56% for the most relevant impact categories when considering nitrogen emissions. Additionally, an overview of the models used to estimate nitrogen emissions in LCA studies showed that many models have been used, but not always in a suitable or justified manner.</p> <p>Conclusions</p> <p>Although mechanistic models are more laborious, mainly due to the amount of input data required, this study shows that Daisy could be a suitable model to estimate emissions when fertilizer application is relevant for the environmental study. In addition, and due to LCA urgently needing a solid methodology to estimate nitrogen emissions, mechanistic models such as Daisy could be used to estimate default values for different archetype scenarios.</p>
Precomputed predictions used in "Assessment of variant effect predictors unveils variants difficulty as a critical performance indicator"
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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.
Assessment of Visual Performance in Patients With Low Levels of Astigmatism
ClinicalTrials.gov study NCT00842231. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Performance Assessment Tests in Working Individuals With DME Following Treatment With Ranibizumab
ClinicalTrials.gov study NCT02107131. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.