Search results for "loss function"

showing 10 items of 46 documents

Uso secuencial de herramientas de control de calidad en procesos productivos: una aplicación en el sector agroalimentario = Sequential use of quality…

2014

<p>Las diferentes herramientas del Control Estadístico de Calidad proporcionan mejores resultados si su uso se lleva a cabo de manera secuencial, facilitando la detección de los puntos débiles del proceso productivo. Así, en el presente estudio se expone un método de trabajo en el que se utilizan, atendiendo a la necesidad en cada punto de la cadena de producción, algunas de dichas herramientas. Concretamente se propone el uso del diagrama de flujo, gráfico de Pareto, hojas de comprobación, gráficos de control (en este caso gráfico p y gráfico de media-recorrido), así como el análisis de la varianza (ANOVA). El procedimiento se aplica a una empresa del sector agroalimentario, interesa…

Quality ControlFood plantGráficos de controlTaguchi loss functionControl chartMejora continua de procesosEstadísticaPareto chartProcesos productivosEmpresasEconomíaCapability indexÍndices de capacidadSector agroalimentarioANOVAlcsh:HB71-74lcsh:Economic theory. Demographylcsh:Economics as a scienceFunción de pérdida de Taguchilcsh:HB1-3840GeographyGráfico de ParetoControl de calidadHumanitiesCartographyProduction chain
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Inducible and reversible inhibition of miRNA-mediated gene repression in vivo

2021

Although virtually all gene networks are predicted to be controlled by miRNAs, the contribution of this important layer of gene regulation to tissue homeostasis in adult animals remains unclear. Gain and loss of function experiments have provided key insights into the specific function of individual miRNAs, but effective genetic tools to study the functional consequences of global inhibition of miRNA activity in vivo are lacking. Here we report the generation and characterization of a genetically engineered mouse strain in which miRNA-mediated gene repression can be reversibly inhibited without affecting miRNA biogenesis or abundance. We demonstrate the usefulness of this strategy by invest…

Regulation of gene expressionGenetically Engineered MouseRegeneration (biology)microRNAGene regulatory networkBiologyLoss functionFunction (biology)Tissue homeostasisCell biology
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A generalized predictive criterion for model selection

2002

Given a random sample from some unknown model belonging to a finite class of parametric models, assume that the estimate of the density of a future observation is of interest San Martini & Spezzaferri (1984) proposed for this problem a predictive criterion based on the logarithmic utility function. The present authors investigate a generalization of this criterion that uses as a loss function an element of the class of α-divergences discussed by Ali & Silvey (1966) and Csiszar (1967). They also discuss briefly the case in which the class of models considered is not exhaustive. Un critere de prevision generalise pour la selection de modeles Supposons que l'on cherche a estimer la densite d'u…

Statistics and ProbabilityCombinatoricsmodel selectionModel selectionCalculusloss function; model selection; α-divergencesStatistics Probability and Uncertaintyα-divergencesMathematicsloss function
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Nonlinear parametric quantile models

2020

Quantile regression is widely used to estimate conditional quantiles of an outcome variable of interest given covariates. This method can estimate one quantile at a time without imposing any constraints on the quantile process other than the linear combination of covariates and parameters specified by the regression model. While this is a flexible modeling tool, it generally yields erratic estimates of conditional quantiles and regression coefficients. Recently, parametric models for the regression coefficients have been proposed that can help balance bias and sampling variability. So far, however, only models that are linear in the parameters and covariates have been explored. This paper …

Statistics and ProbabilityStatistics::Theoryquantile regressionEpidemiologyparametric010501 environmental sciences01 natural sciencesquantile regression coefficients models010104 statistics & probabilityOutcome variableHealth Information ManagementCovariateEconometricsHumansStatistics::MethodologyComputer Simulation0101 mathematicsChild0105 earth and related environmental sciencesParametric statisticsMathematicsModels StatisticalForced oscillation technique integrated loss function parametric quantile regression quantile regression coefficients models Child Computer Simulation Humans Regression Analysis Models Statistical Nonlinear DynamicsStatistics::ComputationQuantile regressionNonlinear systemNonlinear Dynamicsintegrated loss functionRegression AnalysisQuantileStatistical Methods in Medical Research
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The ribose methylation enzyme FTSJ1 has a conserved role in neuron morphology and learning performance

2021

ABSTRACTFTSJ1 is a conserved human 2’-O-methyltransferase (Nm-MTase) that modifies several transfer RNAs (tRNAs) at position 32 and the wobble position 34 in the AntiCodon Loop (ACL). Its loss of function has been linked to Non-Syndromic X-Linked Intellectual Disability (NSXLID), and more recently to cancers. However, the molecular mechanisms underlying these pathologies are currently unclear. Here we report a novelFTSJ1pathogenic variant from a NSXLID patient. Using blood cells derived from this patient and other affected individuals carryingFTSJ1mutations, we performed an unbiased and comprehensive RiboMethSeq analysis to map the ribose methylation (Nm) on all human tRNAs and identify nov…

Transcriptomeeducation.field_of_studyNeuriteTransfer RNAmicroRNAPopulationMethylationBiologyeducationGeneLoss functionCell biology
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Economic Robustness Analysis of Adaptive Chart Schemes for Monitoring the Total Nonconformities Number in Inspection Units

2015

In recent years, a variety of enhanced schemes for the c chart have been developed aimed at the effectiveness improving of the related statistical process control (SPC) procedures. However, the performance of such chart schemes can be very sensitive to values assumed for some operating and cost parameters, in particular to the considered process shift magnitude arising from out-of-control conditions. In such a circumstance, the effectiveness of such chart schemes can be subjected to substantial reductions when they are implemented in operative contexts given that, in practice, such value is unknown and it can be very difficult to accurately estimate. For this reason, in the present paper i…

c-chartEconomic optimizationEngineeringGeneral Computer Sciencebusiness.industrylabor resource costtaguchi’s loss functionnon-linear mathematical programming modelEnergy Engineering and Power TechnologyAerospace EngineeringFractional factorial designFailure rateStatistical process controlIndustrial and Manufacturing EngineeringReliability engineeringAdaptive chart for attributeNuclear Energy and EngineeringChartRobustness (computer science)Performance comparisonElectrical and Electronic Engineeringeconomic robustness analysiSafety Risk Reliability and QualitybusinessSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneInternational Journal of Reliability, Quality and Safety Engineering
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A Multi-Objective Design Approach for the c Chart Considering Taguchi Loss Function

2013

The present paper proposes a multi-objective design approach for the c chart, considering in the optimization process of the chart parameters both the statistical and the economic objectives. In particular, the minimization of the hourly total quality related costs is the considered objective to carry out the economic goal, whereas the statistical objective is reached by the minimization the out-of-control average run length of the chart. A mixed integer non-linear constrained mathematical model is formulated to solve the treated multi-objective optimization problem, whereas the Pareto optimal frontier is described by the e-constraint method. In order to show the employment of the proposed …

c-chartEngineeringMathematical optimizationOptimization problemOperations researchbusiness.industryManagement Science and Operations ResearchStatistical process controlChartTaguchi loss functionSensitivity (control systems)MinificationSafety Risk Reliability and QualitybusinessInteger (computer science)Quality and Reliability Engineering International
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Current development of CFTR potentiators in the last decade

2020

Cystic fibrosis (CF) is a genetic disorder produced by the loss of function of CFTR, a main chloride channel involved in transepithelial salt and water transport. CFTR function can be rescued by small molecules called "potentiators" which increase gating activity of CFTR on epithelial surfaces. High throughput screening (HTS) assays allowed the identification of new chemical entities endowed with potentiator properties, further improved through medicinal chemistry optimization. In this review, the most relevant classes of CFTR potentiators developed in the last decade were explored, focusing on structure-activity relationships (SAR) of the different chemical entities, as a useful tool for t…

congenital hereditary and neonatal diseases and abnormalitiesHigh-throughput screeningGlycineComputational biologyQuinolonesVX-770Aminophenols01 natural sciencesCystic fibrosisCystic fibrosisSmall Molecule LibrariesStructure-Activity Relationship03 medical and health sciencesDrug DiscoverymedicineHumansCFTR potentiatorCFTRLoss function030304 developmental biologyPharmacology0303 health sciencesWater transportbiology010405 organic chemistryChemistryOrganic ChemistryCFTR potentiatorsBiological activityGeneral MedicineTriazolesPotentiatormedicine.diseaseCystic fibrosis transmembrane conductance regulator0104 chemical sciencesCystic fibrosiMutationChloride channelbiology.proteinCystic fibrosis transmembrane conductance regulatorEuropean Journal of Medicinal Chemistry
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Comparing the Economic Effectiveness of Various Adaptive Schemes for the c Chart

2014

In an attempt to improve the effectiveness of statistical process control (SPC) procedures, a variety of adaptive schemes has been developed in the last decades. However, considering control charts for attributes, relatively few works about adaptive schemes have been proposed, and most of them were proposed only recently. The common characteristic of those schemes is that one or more chart parameters are allowed to adaptively vary during the SPC operations according to the sampling information history, typically the current point plotted on the chart. In this way, the adaptive schemes are smarter than the related static ones, but they are also more complicated in terms of implementation. Th…

control chart for attributelabor resourcestatistical process controlnon-linear mathematical programming modelTaguchi’s loss functionSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione
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Economic design approach for a SPC inspection procedure implementing the adaptive c chart

2014

The present paper proposes a design approach for a statistical process control (SPC) procedure implementing a c control chart for non-conformities, with the aim to minimize the hourly total quality-related costs. The latter take into account the costs arising from the non-conforming products while the process is in-control and out-of-control, for false alarms, for assignable cause locations and system repairs, for sampling and inspection activities and for the system downtime. The proposed economic optimization approach is constrained by the expected hourly false alarms frequency, as well as the available labor resource level. A mixed integer non-linear constrained mathematical model is dev…

control chart for attributelabor resourcestatistical process controlnon-linear mathematical programming modelTaguchi’s loss functionSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione
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