Search results for " VALIDATION"

showing 10 items of 313 documents

A Case Study of Open Source Software Development in Proteomic Area: The LIMS ePims

2008

The objective of this paper is to provide an illustrative feedback on development of Open Source software among several partners. We describe the first stage of the design of a specific software package, namely a customized Laboratory Information Management System (LIMS) for biology applications. This software package is structured in several modules which are reusable and can be customized for other applications. In this paper, we address the problem of multi-licensing for the same software tools due to the participation of several partners, the reuse of code source, and the subsequent distribution of this produced software.

business.industryComputer scienceSoftware developmentcomputer.software_genreSoftware peer reviewSoftware frameworkSoftware analyticsSoftware constructionOperating systemPackage development processSoftware verification and validationSoftware systembusinessSoftware engineeringcomputer2008 IEEE International Conference on Signal Image Technology and Internet Based Systems
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Instruction of haematopoietic lineage choices, evolution of transcriptional landscapes and cancer stem cell hierarchies derived from an AML1-ETO mous…

2013

The t(8;21) chromosomal translocation activates aberrant expression of the AML1-ETO (AE) fusion protein and is commonly associated with core binding factor acute myeloid leukaemia (CBF AML). Combining a conditional mouse model that closely resembles the slow evolution and the mosaic AE expression pattern of human t(8;21) CBF AML with global transcriptome sequencing, we find that disease progression was characterized by two principal pathogenic mechanisms. Initially, AE expression modified the lineage potential of haematopoietic stem cells (HSCs), resulting in the selective expansion of the myeloid compartment at the expense of normal erythro- and lymphopoiesis. This lineage skewing was foll…

cancer stem cellsCancer stem cells; Core binding factor acute myeloid leukaemia; Preclinical mouse model; Therapy target validation; Whole transcriptome sequencingMyeloidtherapy target validationOncogene Proteins FusionCloseupsBiologyGranulocyte-Macrophage Progenitor CellsTranslocation Geneticwhole transcriptome sequencingImmunophenotypingMiceGranulocyte-Macrophage Progenitor CellsCancer stem cellhemic and lymphatic diseasesmedicineAML1-ETOAnimalsCell Lineageacute myeloid leukaemiaLymphopoiesisProgenitor cellt(8;21)Research Articlespreclinical mouse modelGeneticsRegulation of gene expressionAntibiotics AntineoplasticSequence Analysis RNAcore binding factor acute myeloid leukaemiainducible mouse-modelHematopoietic Stem CellsMice Inbred C57BLDisease Models AnimalLeukemia Myeloid AcuteHaematopoiesisPhenotypemedicine.anatomical_structureGene Expression RegulationDoxorubicinCancer researchNeoplastic Stem CellsMolecular MedicineStem cell
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Engineering faster transglycosidases and their acceptor specificity

2019

Transglycosidases are enzymes that have the potential to catalyze the synthesis of a wide range of high-value compounds starting from biomass-derived feedstocks. Improving their activity and broadening the substrate range are important goals to enable the widespread application of this family of biocatalysts. In this work, we engineered 20 mutants of the rice transglycosidase Os9BGlu31 and evaluated their catalysis in 462 reactions over 18 different substrates. This allowed us to identify mutants that expanded their substrate range and showed high activity, including W243L and W243N. We also developed double mutants that show very high activity on certain substrates and exceptional specific…

chemistry.chemical_classification010405 organic chemistryExternal validationSubstrate (chemistry)010402 general chemistry01 natural sciencesPollutionAcceptorCombinatorial chemistry0104 chemical sciencesCatalysisEnzymechemistryCheminformaticsEnvironmental ChemistryHigh activityGreen Chemistry
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The Three Steps of Clustering in the Post-Genomic Era: A Synopsis

2011

Clustering is one of the most well known activities in scientific investigation and the object of research in many disciplines, ranging from Statistics to Computer Science. Following Handl et al., it can be summarized as a three step process: (a) choice of a distance function; (b) choice of a clustering algorithm; (c) choice of a validation method. Although such a purist approach to clustering is hardly seen in many areas of science, genomic data require that level of attention, if inferences made from cluster analysis have to be of some relevance to biomedical research. Unfortunately, the high dimensionality of the data and their noisy nature makes cluster analysis of genomic data particul…

cluster validation indicesSettore INF/01 - InformaticaProcess (engineering)Computer sciencebusiness.industryGenomic datadistance functionMachine learningcomputer.software_genreObject (computer science)ClusteringCluster algorithmPredictive powerRelevance (information retrieval)Artificial intelligenceHigh dimensionalitybusinessCluster analysiscomputer
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Development and Preliminary Validation of Social Media as an Educational and Professional Tool Student Perceptions Scale (SMEPT-SPS)

2021

Although social media has an increasing presence both in university and sports settings, in the sports-management education context, no instruments (without being focused on one particular social-media platform, e.g., Facebook and Twitter) have been developed and validated that globally allow the academy to explore the perceptions of sports-management students concerning the educational and professional learning potential that these tools offer. Therefore, this research’s main objective is to develop and perform a preliminary validation of the social media as an educational and professional tool student perceptions scale (SMEPT-SPS). This study sample was composed of 90 Spanish undergraduat…

confirmatory factor analysisHigher educationsocial mediaGeography Planning and DevelopmentValidityTJ807-830Sample (statistics)Context (language use)Management Monitoring Policy and Lawpsychometric propertiesTD194-195Renewable energy sourcesProfessional learning community0502 economics and businesssports-management educationComputingMilieux_COMPUTERSANDEDUCATIONSocial mediaGE1-350EsportsMedical educationEnvironmental effects of industries and plantsRenewable Energy Sustainability and the Environmentbusiness.industry05 social sciencesscale developmentpreliminary validation050301 educationConfirmatory factor analysisEnvironmental sciencesScale (social sciences)higher educationEducació físicaX990Psychologybusiness0503 education050212 sport leisure & tourisminstrumental studiesSustainability
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Challenge Types in Gaming : Validation of Videogame Challenge Inventory (CHA)

2020

Challenge is a key motivation for videogame play. But what kind of challenge types videogames include, and which of them players prefer? This article answers the above questions by developing and validating Videogame Challenge Inventory (CHA), a psychometrically sound measurement for investigating players’ challenge preferences in videogames. Based on a comprehensive review of literature, we developed a 38-item version of CHA that was included in a social media user survey (N=813). An exploratory factor analysis (EFA) revealed a latent structure of five challenge types: Physical, Analytical, Socioemotional, Insight, and Foresight. CHA was amended in another EFA with USA-based survey data (N…

confirmatory factor analysisscale validationchallengefactor analysisplayer preferencessurveyexploratory
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An Evaluation of the Belief in Science Scale

2019

The Belief in Science Scale (BISS) is a unidimensional measure that assesses the degree to which science is valued as a source of superior knowledge. Due to increased academic interest in the concept of belief in science, the BISS has emerged as an important measurement instrument. Noting an absence of validation evidence, the present paper, via two studies, evaluated the scale’s factorial structure. Both studies drew on data collected from previous research. Study 1 (N = 686), using parallel analysis and exploratory factor analysis, identified a unidimensional solution accounting for 56.43% of the observed variance. Study 2 (N = 535), using an independent sample, tested the unidimensional …

convergent validitybelief in sciencemedia_common.quotation_subjectlcsh:BF1-990Context (language use)050105 experimental psychologyStructural equation modelingreality testing03 medical and health sciences0302 clinical medicinePersonalityPsychology0501 psychology and cognitive sciencesGeneral Psychologymedia_commonOriginal Research05 social sciencespsychometric validationConfirmatory factor analysisExploratory factor analysisthinking stylelcsh:PsychologyConvergent validityQuartileConstruct (philosophy)PsychologySocial psychology030217 neurology & neurosurgeryFrontiers in Psychology
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KERNEL ESTIMATION OF THE TRANSITION DENSITY IN BIFURCATING MARKOV CHAINS

2023

We study the kernel estimator of the transition density of bifurcating Markov chains. Under some ergodic and regularity properties, we prove that this estimator is consistent and asymptotically normal. Next, in the numerical studies, we propose two data-driven methods to choose the bandwidth parameters. These methods are based on the so-called two bandwidths approach.

cross validation methodKernel estimatorrule of thumb type methodasymptotic normalitybinary trees[MATH.MATH-ST] Mathematics [math]/Statistics [math.ST]bifurcating Markov chains[STAT] Statistics [stat]
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Predicting needlestick and sharps injuries in nursing students: Development of the SNNIP scale

2020

© 2020 The Authors. Nursing Open published by John Wiley & Sons Ltd. Aim: To develop an instrument to investigate knowledge and predictive factors of needlestick and sharps injuries (NSIs) in nursing students during clinical placements. Design: Instrument development and cross-sectional study for psychometric testing. Methods: A self-administered instrument including demographic data, injury epidemiology and predictive factors of NSIs was developed between October 2018–January 2019. Content validity was assessed by a panel of experts. The instrument's factor structure and discriminant validity were explored using principal components analysis. The STROBE guidelines were followed. Results: E…

cross-sectionalknowledgePsychometricsFactor structurenursing studentSettore MED/44 - MEDICINA DEL LAVORONursingpreventionSurveys and QuestionnairesContent validityneedlestickMedicineHealth belief modelHumanssharps injuriePsychometric testingNeedlestick InjuriesGeneral NursingResearch Articlesnursing studentslcsh:RT1-120validationlcsh:Nursingbusiness.industryInjury epidemiologyquestionnairesharps injuriesDiscriminant validityExploratory factor analysisCross-Sectional StudiesScale (social sciences)Students Nursingcross‐sectionalbusinesscross-sectional; Health Belief Model; knowledge; needlestick; nursing students; prevention; questionnaire; sharps injuries; validationResearch ArticleHealth Belief Model
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Comparison of cluster validation indices with missing data

2018

Clustering is an unsupervised machine learning technique, which aims to divide a given set of data into subsets. The number of hidden groups in cluster analysis is not always obvious and, for this purpose, various cluster validation indices have been suggested. Recently some studies reviewing validation indices have been provided, but any experiments against missing data are not yet available. In this paper, performance of ten well-known indices on ten synthetic data sets with various ratios of missing values is measured using squared euclidean and city block distances based clustering. The original indices are modified for a city block distance in a novel way. Experiments illustrate the di…

dataklusterianalyysicluster validationclustering
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