Search results for "PROGRESS"

showing 10 items of 1620 documents

Stochastic dynamics of leukemic cells under an intermittent targeted therapy

2009

The evolutionary dynamics of cancerous cell populations in a model of Chronic Myeloid Leukemia (CML) is investigated in the presence of an intermittent targeted therapy. Cancer development and progression is modeled by simulating the stochastic evolution of initially healthy cells which can experience genetic mutations and modify their reproductive behavior, becoming leukemic clones. Front line therapy for the treatment of patients affected by CML is based on the administration of tyrosine kinase inhibitors, namely imatinib (Gleevec) or, more recently, dasatinib or nilotinib. Despite the fact that they represent the first example of a successful molecular targeted therapy, the development o…

Statistics and ProbabilityComplex systemsmedicine.medical_treatmentModels BiologicalPiperazinesSettore FIS/03 - Fisica Della MateriaCancer evolutionTargeted therapyLeukemia Myelogenous Chronic BCR-ABL Positivehemic and lymphatic diseasesStochastic dynamics; Cancer evolution; Complex systemsHumansMedicineComputer SimulationStochastic dynamicMolecular Targeted TherapyProtein Kinase InhibitorsEcology Evolution Behavior and SystematicsStochastic Processesbusiness.industryApplied MathematicsMyeloid leukemiaImatinibmedicine.diseaseSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)DasatinibLeukemiaPyrimidinesImatinib mesylateNilotinibStochastic dynamics Monte Carlo simulationBenzamidesImmunologyCancer cellDisease ProgressionImatinib MesylateCancer researchbusinessmedicine.drug
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Bayesian joint modeling for assessing the progression of chronic kidney disease in children.

2016

Joint models are rich and flexible models for analyzing longitudinal data with nonignorable missing data mechanisms. This article proposes a Bayesian random-effects joint model to assess the evolution of a longitudinal process in terms of a linear mixed-effects model that accounts for heterogeneity between the subjects, serial correlation, and measurement error. Dropout is modeled in terms of a survival model with competing risks and left truncation. The model is applied to data coming from ReVaPIR, a project involving children with chronic kidney disease whose evolution is mainly assessed through longitudinal measurements of glomerular filtration rate.

Statistics and ProbabilityEpidemiologyComputer scienceBayesian probability030232 urology & nephrologyRenal function01 natural sciences010104 statistics & probability03 medical and health sciences0302 clinical medicineHealth Information ManagementStatisticsEconometricsmedicineHumans0101 mathematicsRenal Insufficiency ChronicChildJoint (geology)Dropout (neural networks)Survival analysisAutocorrelationBayes Theoremmedicine.diseaseMissing dataSurvival AnalysisChild PreschoolDisease ProgressionKidney diseaseStatistical methods in medical research
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Frequentist and Bayesian approaches for a joint model for prostate cancer risk and longitudinal prostate-specific antigen data

2015

The paper describes the use of frequentist and Bayesian shared-parameter joint models of longitudinal measurements of prostate-specific antigen (PSA) and the risk of prostate cancer (PCa). The motivating dataset corresponds to the screening arm of the Spanish branch of the European Randomized Screening for Prostate Cancer study. The results show that PSA is highly associated with the risk of being diagnosed with PCa and that there is an age-varying effect of PSA on PCa risk. Both the frequentist and Bayesian paradigms produced very close parameter estimates and subsequent 95% confidence and credibility intervals. Dynamic estimations of disease-free probabilities obtained using Bayesian infe…

Statistics and ProbabilityPREDICTIONBayesian probabilityurologic and male genital diseasesBayesian inferenceGeneralized linear mixed modelPSAProstate cancerLATENT CLASS MODELSAnàlisi de supervivència (Biometria)Frequentist inference62N01Statisticsprostate cancer screeningSurvival analysis (Biometry)FAILUREMedicineProstate cancer riskTO-EVENT DATAbusiness.industryjoint modelsMORTALITYDISEASE PROGRESSIONmedicine.diseaselinear mixed modelsTIMEProstate-specific antigenProstate cancer screeningshared-parameter models:Matemàtiques i estadística::Estadística matemàtica [Àrees temàtiques de la UPC]62P10SURVIVALStatistics Probability and Uncertaintyrelative risk modelsFOLLOW-UPbusinessJournal of Applied Statistics
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A segmented regression model for event history data: an application to the fertility patterns in Italy

2009

We propose a segmented discrete-time model for the analysis of event history data in demographic research. Through a unified regression framework, the model provides estimates of the effects of explanatory variables and jointly accommodates flexibly non-proportional differences via segmented relationships. The main appeal relies on ready availability of parameters, changepoints, and slopes, which may provide meaningful and intuitive information on the topic. Furthermore, specific linear constraints on the slopes may also be set to investigate particular patterns. We investigate the intervals between cohabitation and first childbirth and from first to second childbirth using individual data …

Statistics and Probabilityparity progressionmedia_common.quotation_subjectPostponementEvent historyAppealFertilityevent occurence dataRegressionchangepointCohabitationdiscrete-time hazard modelStatisticsEconometricsStatistics Probability and UncertaintySegmented regressionPsychologySet (psychology)segmented regressionSettore SECS-S/01 - Statisticamedia_common
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Veniet Tempus (QNat.7.25): Stoic Philosophy and Roman Genealogy in Seneca's View of Scientific Progress

2014

Seneca's views on the future development of knowledge have often been interpreted as an enlightened anticipation of the modern faith in progress. And Seneca himself has been depicted as a sort of Condorcet avant la lettre. In the present paper, I argue that while it is extremely interesting to investigate the reception of Senecan patterns in modern thought, the writer's idea of scientific and moral enhancement should primarily be understood in the intellectual and socio-anthropological framework of ancient culture. Indeed, a reassessment of the evidence offered by the Natural Questions and the Moral Epistles shows that Seneca devises a broadly conceived spectrum of progress, which reflects …

StoicismRoman societyprogreSeneca; progress; time; Stoicism; Roman society; Hellenistic scienceSenecaHellenistic sciencetimeSettore L-FIL-LET/04 - Lingua E Letteratura Latina
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Student Progress in Higher Education: What We Have Learned from Large-Scale Studies

2011

en ligne sur http://www.benthamscience.com/open/toeduj/articles/V004/1TOEDUJ.pdf; International audience; This review examines student progress in higher education based on 28 articles examining 25 large-scale samples of first-year entrants in higher education programs in nine countries. These articles were obtained from a search of published and publicly available research on student departure. Although the results of the studies reviewed are heterogeneous, generalized trends emerge from the synthesis of this body of research on dropout behavior, completion, and time-to-degree. The vast majority of the empirical works reviewed indicate that personal characteristics, family background, prio…

Success universityRéussite universitaireHigher educationComparaison internationaleliterature review[SHS.EDU]Humanities and Social Sciences/Education[SHS.EDU] Humanities and Social Sciences/EducationDeterminantAffect (psychology)Enseignement supérieurDéterminant de la réussite0502 economics and businessMathematics educationHigher education050207 economicscompletionInternational comparisonEmpirical workbusiness.industrywithdrawal4. Education05 social sciences050301 educationÉtudiant[ SHS.EDU ] Humanities and Social Sciences/EducationAbandon des étudesdeterminant of successProgression scolaireScale (social sciences)Progression school studentbusinessPsychology0503 educationDrop outs
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A Case For a Study Quality Appraisal in Survey Studies in Psychology

2019

The lack of replication of key effects in psychology has highlighted some fundamental problems with reporting of research findings and methods used (Asendorpf et al., 2013; Open Science Collaboration, 2015). Problems with replication have been attributed to sources of bias such as questionable research practices like HARK-ing (Kerr, 1998) or p-hacking (Simmons et al., 2011). Another potential source of bias is lack of precision in the conduct and methods used in psychological research, which likely introduces systematic error into data collected with the potential to affect results. A related issue is lack of accuracy in reporting study methods and findings. There is, therefore, increased r…

Systematic errorOpen scienceOpinionquality assessmentApplied psychologylcsh:BF1-990study quality appraisalAffect (psychology)läpinäkyvyysresearch methodscorrelational studiessurvey researchtutkimusmenetelmätPsychologylaadunarviointiGeneral Psychologyta515Research methodtransparencyStudy qualityScientific progressevidence synthesesPsychological researchmetodologiamethodologyTransparency (behavior)lcsh:PsychologypsykologiaCognitive Sciencessurvey studiesPsychologysurvey-tutkimusFrontiers in Psychology
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STAT3 activation: A key factor in tumor immunoescape.

2012

Cancer growth is controlled by cancer cells (cell intrinsic phenomenon), but also by the immune cells in the tumor microenvironment (cell extrinsic phenomenon). Thus cancer progression is mediated by the activation of transcription programs responsible for cancer cell proliferation, but also induced proliferation/activation of immunosuppressive cells such as Th17, Treg or myeloid derived suppressor cells (MDSCs). One of the key transcription factors involved in these pathways is the signal transducer and activator of transcription 3 (STAT3). In this review we will focus on STAT3 activation in immune cells, and how it impacts on tumor progression.

T helpersMDSCReviewimmune responseSTAT3Immune systemMedicinecancerdendritic cellsSTAT3Transcription factorTumor microenvironmentbiologybusiness.industryGeneral MedicinemacrophagesTregTumor progressionCancer cellImmunologyMyeloid-derived Suppressor CellSTAT proteinbiology.proteinCancer researchTh17businessJAK-STAT
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Molecular profile study of extracellular vesicles for the identification of useful small “hit” in cancer diagnosis

2021

Tumor-secreted extracellular vesicles (EVs) are the main mediators of cell-cell communication, permitting cells to exchange proteins, lipids, and metabolites in varying physiological and pathological conditions. They contain signature tumor-derived molecules that reflect the intracellular status of their cell of origin. Recent studies have shown that tumor cell-derived EVs can aid in cancer metastasis through the modulation of the tumor microenvironment, suppression of the immune system, pre-metastatic niche formation, and subsequent metastasis. EVs can easily be isolated from a variety of biological fluids, and their content makes them useful biomarkers for the diagnosis, prognosis, monito…

TechnologyQH301-705.5QC1-999tumor progressionMetastasisImmune systemMedicinemetastasisGeneral Materials ScienceBiology (General)Liquid biopsyQD1-999InstrumentationFluid Flow and Transfer ProcessesTumor microenvironmentliquid biopsybusiness.industrySettore BIO/16 - Anatomia UmanaTPhysicsProcess Chemistry and TechnologyGeneral EngineeringbiomarkersCancerEngineering (General). Civil engineering (General)medicine.diseaseComputer Science ApplicationsChemistryTumor progressionCancer researchbiomarkerIdentification (biology)extracellular vesicleTA1-2040extracellular vesiclesbusinessIntracellular
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Cost-driven framework for progressive compression of textured meshes

2019

International audience; Recent advances in digitization of geometry and radiometry generate in routine massive amounts of surface meshes with texture or color attributes. This large amount of data can be compressed using a progressive approach which provides at decoding low complexity levels of details (LoDs) that are continuously refined until retrieving the original model. The goal of such a progressive mesh compression algorithm is to improve the overall quality of the transmission for the user, by optimizing the rate-distortion trade-off. In this paper, we introduce a novel meaningful measure for the cost of a progressive transmission of a textured mesh by observing that the rate-distor…

Texture atlasDecimationadaptive quantizationmultiplexingComputer scienceGeometry compressionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONInversesurface meshes02 engineering and technologyData_CODINGANDINFORMATIONTHEORYtexturesprogressive vs single-rate[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]MultiplexingCCS CONCEPTS • Computing methodologies → Computer graphics020204 information systems0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingPolygon meshQuantization (image processing)AlgorithmDecoding methodsData compressionComputingMethodologies_COMPUTERGRAPHICS
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