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8,038 results for “validation.”
CCR5d32.all_discovery_validation
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Validation and Enhancement of the IMbrave050 Criteria: Liver Stiffness Measurement for High-Risk Recurrence and Adjuvant Treatment of Hepatocellular Carcinoma
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Cross-cultural adaptation and validation of a surgical neonatal nursing workload tool to the Italian context: The Italian Win-nipeg Surgical Complex Assessment of Neonatal Nursing Needs Tool
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Supplemnetary material for "Analysis of Azathioprine metabolites in blood - method de-velopment and validation"
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(Deprecated) Auxiliary and validation data for Project SaGEA
<p>This project has been deprecated.</p>
Evaluation of the reliability and validity of the Italian version of the schema mode inventory for eating disorders: short form for adult with dysfunctional eating behavior
<p>Purpose To examine the psychometric properties and the factorial structure of the Italian version of the schema mode inventory<br> for eating disorders—short form (SMI-ED-SF) for adults with dysfunctional eating patterns.<br> Methods 649 participants (72.1% females) completed the 64-item Italian version of the SMI-ED-SF and the eating disorder<br> examination questionnaire (EDE-Q) for measuring eating disorder symptoms. Psychometric testing included confirmatory<br> factor analysis (CFA) and internal consistency. Multivariate analysis of covariance (MANCOVA) was also run to test statistical<br> differences between the EDE-Q subscales on the SMI-ED-SF modes, while controlling for possible confounding variables.<br> Results Factorial analysis confirmed the 16-factors structure for the SMI-ED-SF [S–Bχ2 (1832) = 3324.799; p < .001;<br> RMSEA = 0.045; 90% CI 0.043–0.048; CFI = 0.880; SRMR = 0.066; χ2/df = 1.81; < 3]. Internal consistency was acceptable<br> in all scales, with Cronbach’s Alpha coefficients ranging from 0.635 to 0.873.<br> Conclusions The SMI-ED-SF represents a reliable and valid alternative to the long-form SMI-ED for assessment and<br> conceptualization of schema modes in Italian adults with disordered eating habits. Its use is recommended for clinical and<br> research purposes.</p>
Development and Validation of a Self-Determination Theory-Based Measure of Motivation to Exercise and Diet in Children
<p>Objective: To develop and test the factorial structure of a new self-determination theory–based measure of behavioral regulation in children.<br> Methods: Five hundred ninety 590 (F = 51.7%) children aged 7 to 11 years completed the Motivation to Exercise and Diet (MED-C) questionnaire, which comprises 16 items (eight for exercise and eight for diet) grouped into eight factors (five motivations and<br> three needs). Psychometric testing included confirmatory factor analysis and internal consistency. Measurement invariance analyses were also performed to evaluate whether the factorial structure of the MED-C was equivalent for gender (male vs. female), age<br> (>9 vs. <10 years), and the perception of having at least one parent with overweight or obesity (yes vs. no).<br> Results: Factorial analysis confirmed an acceptable factors solution for the MED-C and a good fit to the data for both the exercise and the diet subscales assessed independently. The maximal reliability coefficient revealed good reliability for the exercise<br> and the diet subscales. Moreover, the MED-C factor structure was invariant across group comparisons.<br> Discussion: Findings support the construct validity and reliability of the MEDC. Therefore, it represents the first validated instrument simultaneously measuring motivational regulation and psychological need satisfaction in the context of children’s exercise and diet. Considering the goodness of these results, scale percentile ranks of the total score distribution as well as the z score and the T score were provided for clinical and research purposes.<br> Conclusion: The MED-C might support the understanding of motivations and needs of children with weight problems and assist their process of behavioral change in primary and secondary prevention programs. Psychological factors represent, in fact, potential<br> targets for interventions to increase children’s motivation to exercise and diet.</p>
User validation on Flight Delay Prediction
<p>A Flight Delay Prediction tool has been developed using the Artificial intelligence method. EUROCONTROL provided the dataset as the External Advisory Board (EAB) and suggested addressing the issue of explanation for delay propagation. Three different methods of adding explanations are considered. The methods are Local Interpretable Model-Agnostic Explanations (LIME), Shapley Additive Explanations (SHAP), and user-centric XAI using DALEX.</p> <p>The objective of the validation exercise is to assess:</p> <ul> <li>How XAI helps users to <strong> understand </strong> the results and the behaviour of the AI system?</li> <li>How XAI helps users to <strong> trust </strong> the results of the AI system?</li> <li>How XAI helps <strong> human performance </strong>?</li> </ul> <p>In the exercise, you will assess the explanations given by the three ML methods (LIME, SHAP and DALEX) and rate the explanation by answering a number of questions about each method.</p>
The Italian midwifery core outcome set (M-COS) for healthy childbearing women and newborns: Development and initial validation study
<p>Maga G, Brigante L, Del Bo E, Cappadona R, Daniele MAS, Arrigoni C, Caruso R, Magon A. The Italian midwifery core outcome set (M-COS) for healthy childbearing women and newborns: Development and initial validation study. Midwifery. 2022 May;108:103292. doi: 10.1016/j.midw.2022.103292. Epub 2022 Feb 23. PMID: 35235891.</p> <p><strong>Abstract</strong></p> <p><strong>Objective: </strong>This study aimed to develop and validate a midwifery core outcome set (M-COS) for Italian settings based on a salutogenic framework of maternity care.</p> <p><strong>Design: </strong>A multi-phase and multi-method study was performed. In phase one, we conducted a literature review to identify a preliminary set of outcomes sensitive to midwifery care. In phase two, the qualitative and quantitative content validity of the M-COS was tested. Finally, in the third phase, construct validity was explored through a cross-sectional study to assess the psychometric properties of the M-COS through exploratory and confirmative factor analysis. This study was conducted from December 2019 to April 2020 in Italy.</p> <p><strong>Participants: </strong>Three main groups of experts/midwives were involved. Group One (n = 10) was involved in the content validity phase, while the other two groups (Group Two and Group Three) were involved in the construct validity phase (n = 300).</p> <p><strong>Results: </strong>The M-COS includes six outcome domains and thirty-one core outcomes perceived as sensitive to midwifery care, namely: mortality and morbidity (n = 6 outcomes), childbirth (n = 3), postnatal period (n = 6), maternal health (n = 11), maternal-infant bonding (n = 3), and maternal self-care (n = 2). All domains showed good evidence of internal consistency.</p> <p><strong>Conclusion: </strong>The Italian M-COS is a novel tool that will facilitate the consistent measurement of core outcomes sensitive to midwifery care from the antenatal to the postnatal period in Italian settings. This initial work will be followed by further studies, including validation by service users.</p> <p><strong>Implications for practice: </strong>The use of the M-COS in clinical practice would facilitate evidence-based data collection and thus contribute to promoting high-quality maternity care.</p>
Development and Psychometric Validation of the Nursing Self-Efficacy Scale for Managing Cancer Treatment-Induced Cardiotoxicity: An Exploratory Mixed-Method Study.
<p>Magon A, Conte G, Arrigoni C, Dellafiore F, de Maria M, Pittella F, Rocco G, Stievano A, Ghizzardi G, Caruso R. Development and Psychometric Validation of the Nursing Self-Efficacy Scale for Managing Cancer Treatment-Induced Cardiotoxicity: An Exploratory Mixed-Method Study. Semin Oncol Nurs. 2022 Nov 18:151367. doi: 10.1016/j.soncn.2022.151367. Epub ahead of print. PMID: 36411124.</p> <p>Abstract</p> <p><strong>Objective: </strong>Assessing nursing self-efficacy could be strategic to sustain nursing competence. This study aimed to develop and validate the nursing self-efficacy scale for managing cancer treatment-induced cardiotoxicity (NSS-CTC).</p> <p><strong>Data sources: </strong>An exploratory mixed-method study was performed by including two main phases. The first comprised the developmental tasks to generate the initial pool of items, including a literature review and a consensus meeting based on a nominal group technique. The second phase initially involved an external panel of experts in assessing the content validity of the novel scale, followed by a cross-sectional data collection to perform exploratory factor analysis by employing a multicenter and convenience sampling approach. The most plausible psychometric structure derived from the exploratory factor analysis was tested with a confirmatory factor analysis using a second data collection round on another sample enrolled with a multicenter and convenience sampling approach. Internal consistency was assessed using Cronbach's alfa.</p> <p><strong>Conclusion: </strong>The NSS-CTS is a novel 15-item self-report measure for assessing nurse self-efficacy in dealing with cancer treatment-related cardiotoxicity. Its two plausible domains were labeled knowledge-related self-efficacy (Cronbach's α = 0.924) and practice-related self-efficacy (Cronbach's α = 0.937); the factor analyses in both samples showed adequate fit to sample statistics. Future studies are necessary to corroborate its construct validity and assess its measurement invariance across various country contexts.</p> <p><strong>Implications for nursing practice: </strong>Assessing nursing self-efficacy for managing cancer treatment-induced cardiotoxicity is a promising approach for identifying educational gaps and promoting nursing competency in this particular area of cancer care.</p>
Development and validation of the parents' healthcare needs scale for adolescents with congenital heart disease.
<p>Dellafiore F, Arrigoni C, Flocco SF, Barello S, Pagliara F, Bascape B, Nania T, Baroni I, Russo S, Vangone I, Conte G, Magon A, Chessa M, Caruso R. Development and validation of the parents' healthcare needs scale for adolescents with congenital heart disease. J Pediatr Nurs. 2022 Dec 16:S0882-5963(22)00321-9. doi: 10.1016/j.pedn.2022.12.006. Epub ahead of print. PMID: 36529596.</p> <p><strong>Abstract</strong></p> <p><strong>Purpose: </strong>The healthcare needs of parents of adolescents with congenital heart disease (CHD) have been under-investigated as no valid and reliable tools have been developed for assessing their needs. Therefore, this study aims to develop and validate the Parents' Healthcare Needs Scale for adolescents with CHD (PHNS-CHD).</p> <p><strong>Design and methods: </strong>A multi-method approach and multi-phase design were employed. Phase one referred to generating scale items based on emerging themes in the literature, and phase two showed the validation process, divided into three steps. Step one tested the content and face validity of the first version of the PHNS-CHD. After that, step two described the initial psychometric validation process of scale using an exploratory factorial analysis (EFA). Then, step three confirmed the PHNS-CHD factorial structure and assessed its internal consistency.</p> <p><strong>Results: </strong>The PHNS-CHD showed evidence of face and content validity, adequate construct, and internal consistency and stability. Specifically, it had 22 items grouped into five domains, labeled as follows: Healthcare education to the child; to be supported as a parent, clinical support to the child, the continuum of care to the child; emotional support to the child.</p> <p><strong>Conclusions: </strong>The PHNS-CHD is a psychometrically robust measure for assessing the healthcare needs of parents of adolescents with CHD.</p>
dataset relate to article "Development and Validation of a UHPLC–MS/MS-Based Method to Quantify Cenobamate in Human Plasma Samples"
<p><strong>cenobamate blood concentrations measured via new method</strong></p>
Validation of the Spanish version of the Nurses' Global Assessment of Suicide Risk Scale (NGASR)
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LiFE Benchmark files for CLOE validation
<p>Gzipped tar archive containing all the files needed for CLOE validation against LiFE</p>
CRISPR/Cas9-mediated validation of candidate Master Regulators Proteins in DMG/GBM Cell Lines
GEO Series GSE267415. Homo sapiens. 2 samples. Type: Other.
The second Validation set of the 95GC in 2013.
GEO Series GSE233909. Homo sapiens. 56 samples. Type: Expression profiling by array.
DNA-Diffusion STARR-Seq Validation
GEO Series GSE293971. Homo sapiens. 18 samples. Type: Other.
Cadmium and temperature probe selection and validation experiment for custom array production
GEO Series GSE17113. Danio rerio. 24 samples. Type: Expression profiling by array.
Temperature validation experiment for custom array production
GEO Series GSE17086. Danio rerio. 4 samples. Type: Expression profiling by array.
Design and validation of microarray for chickpea (Cicer arietinum) based on the analysis of transcriptome data
GEO Series GSE78987. Cicer arietinum. 4 samples. Type: Genome variation profiling by array; Expression profiling by array.
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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.