Search results for "square"

showing 10 items of 1317 documents

Variance component analysis to assess protein quantification in biomarker discovery. Application to MALDI-TOF mass spectrometry.

2017

International audience; Controlling the technological variability on an analytical chain is critical for biomarker discovery. The sources of technological variability should be modeled, which calls for specific experimental design, signal processing, and statistical analysis. Furthermore, with unbalanced data, the various components of variability cannot be estimated with the sequential or adjusted sums of squares of usual software programs. We propose a novel approach to variance component analysis with application to the matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) technology and use this approach for protein quantification by a classical signal processing algori…

0301 basic medicineStatistics and ProbabilityMALDI-TOFexperimental designBiometryprotein quantificationQuantitative proteomicsVariance component analysis[ CHIM ] Chemical Sciences01 natural sciencesSignaltechnological variability010104 statistics & probability03 medical and health sciencesstatistical analysis[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[CHIM.ANAL]Chemical Sciences/Analytical chemistryComponent (UML)[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]biomarker discoverysum of squares type0101 mathematicsBiomarker discoverysignal processingMathematicsSignal processingAnalysis of Variance[ PHYS ] Physics [physics]Noise (signal processing)ProteinsGeneral MedicineVariance (accounting)[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]030104 developmental biologySpectrometry Mass Matrix-Assisted Laser Desorption-IonizationLinear Modelsvariance components[ CHIM.ANAL ] Chemical Sciences/Analytical chemistryStatistics Probability and UncertaintyBiological systemAlgorithmsBiomarkersBiometrical journal. Biometrische Zeitschrift
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A graphical model selection tool for mixed models

2017

Model selection can be defined as the task of estimating the performance of different models in order to choose the most parsimonious one, among a potentially very large set of candidate statistical models. We propose a graphical representation to be considered as an extension to the class of mixed models of the deviance plot proposed in the literature within the framework of classical and generalized linear models. This graphical representation allows, once a reduced number of models have been selected, to identify important covariates focusing only on the fixed effects component, assuming the random part properly specified. Nevertheless, we suggest also a standalone figure representing th…

0301 basic medicineStatistics and ProbabilityMixed modelModel selectionFeature selection01 natural sciencesTask (project management)Deviance plot Penalized Weighted Residual Sum of Squares Variable selection010104 statistics & probability03 medical and health sciences030104 developmental biologyModeling and SimulationStatisticsGraphical model0101 mathematicsSelection (genetic algorithm)Mathematics
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Embryo multinucleation at the two-cell stage is an independent predictor of intracytoplasmic sperm injection outcomes.

2016

Objective To determine the prognostic impact of the nuclear status at the two-cell stage on intracytoplasmic sperm injection (ICSI) outcomes. Design Retrospective study. Setting Hospital. Patient(s) Only ICSI cycles with time-lapse monitoring of transferred embryos with known implantation/delivery data from November 2012 to December 2014 were included. A total of 2,449 embryos were assessed for multinucleation rates at the two- and four-cell stage, and 608 transferred embryos were studied for ICSI outcomes. Intervention(s) None. Main Outcome Measure(s) Implantation rate (IR) and live birth rate (LBR) according to the number of multinucleated blastomeres at the two-cell stage: none (Without-…

0301 basic medicinemedicine.medical_specialtyBlastomeresPregnancy Ratemedicine.medical_treatmentCleavage Stage OvumBiologyInseminationTime-Lapse ImagingIntracytoplasmic sperm injectionAndrology03 medical and health sciences0302 clinical medicinePregnancyRisk FactorsmedicineOdds RatioHumansEmbryo ImplantationSperm Injections IntracytoplasmicRetrospective StudiesGynecologyCell NucleusPregnancy030219 obstetrics & reproductive medicineChi-Square DistributionMicroscopy VideoObstetrics and GynecologyEmbryomedicine.diseaseEmbryo TransferEmbryo MammalianConfidence intervalEmbryo transferPregnancy rate030104 developmental biologyFertilityLogistic ModelsTreatment OutcomeReproductive MedicineInfertilityembryonic structuresMultivariate AnalysisFemaleLive birthLive BirthFertility and sterility
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Mass, phylogeny, and temperature are sufficient to explain differences in metabolic scaling across mammalian orders?

2016

Abstract Whether basal metabolic rate‐body mass scaling relationships have a single exponent is highly discussed, and also the correct statistical model to establish relationships. Here, we aimed (1) to identify statistically best scaling models for 17 mammalian orders, Marsupialia, Eutheria and all mammals, and (2) thereby to prove whether correcting for differences in species’ body temperature and their shared evolutionary history improves models and their biological interpretability. We used the large dataset from Sieg et al. (The American Naturalist 174, 2009, 720) providing species’ body mass (BM), basal metabolic rate (BMR) and body temperature (T). We applied different statistical ap…

030110 physiology0106 biological sciences0301 basic medicineNormalization (statistics)Biologymacrophysiologyphylogeny010603 evolutionary biology01 natural sciences03 medical and health sciencesStatisticsScalingEcology Evolution Behavior and SystematicsNature and Landscape ConservationOriginal ResearchAllometryEcologyEcologyLinear modelbody massOrdinary least squaresBasal metabolic rateExponentAllometryconstraintsbody temperatureLinear equationEcology and Evolution
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Mineral profiles of legumes and fruits through partial least squares energy dispersive X-ray fluorescence

2019

Abstarct Energy dispersive X-ray fluorescence (ED-XRF) has been employed for the determination of mineral elements in 15 varieties of legumes and 14 cherry samples. ED-XRF signals directly obtained from pulverized samples were modelized by partial least squares (PLS) using Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES) of a selected number of samples, after microwave assisted acid digestion, as reference data. Models were built to predict the concentration of Al, Ca, Cu, Fe, K, Mg, P, Sr and Zn. Average concentrations predicted were 6, 930, 7, 40, 6400, 990, 2100, 4 and 15 μg g−1 for Al, Ca, Cu, Fe, K, Mg, P, Sr and Zn, respectively with relative errors from 7 till 26%. …

0303 health sciencesMaterials scienceMineral030309 nutrition & dietetics010401 analytical chemistryReference data (financial markets)Analytical chemistryX-ray fluorescence01 natural sciencesFluorescence0104 chemical sciences03 medical and health sciencesPartial least squares regressionInductively coupled plasmaOptical emission spectrometryEnergy (signal processing)Food ScienceJournal of Food Composition and Analysis
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2020

Abstract A burgeoning body of literature suggests that poor childhood health leads to adverse health outcomes, lower educational attainment and weaker labour market outcomes in adulthood. We focus on an important but under-researched topic, which is the role played by infection-related hospitalization (IRH) in childhood and its links to labour market outcomes later in life. The participants aged 24–30 years in 2001 N = 1706 were drawn from the Young Finns Study, which includes comprehensive registry data on IRHs in childhood at ages 0–18 years. These data are linked to longitudinal registry information on labour market outcomes (2001–2012) and parental background (1980). The estimations wer…

0303 health sciencesMediation (statistics)Earningsbusiness.industry05 social sciencesEconomics Econometrics and Finance (miscellaneous)Affect (psychology)Human capitalEducational attainmentConfidence interval03 medical and health sciences0502 economics and businessOrdinary least squaresMedicineRegistry data050207 economicsbusiness030304 developmental biologyDemographyEconomics & Human Biology
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Probabilistic cross-validation estimators for Gaussian process regression

2018

Gaussian Processes (GPs) are state-of-the-art tools for regression. Inference of GP hyperparameters is typically done by maximizing the marginal log-likelihood (ML). If the data truly follows the GP model, using the ML approach is optimal and computationally efficient. Unfortunately very often this is not case and suboptimal results are obtained in terms of prediction error. Alternative procedures such as cross-validation (CV) schemes are often employed instead, but they usually incur in high computational costs. We propose a probabilistic version of CV (PCV) based on two different model pieces in order to reduce the dependence on a specific model choice. PCV presents the benefits from both…

050502 lawHyperparameterMinimum mean square error05 social sciencesProbabilistic logicEstimator01 natural sciencesCross-validation010104 statistics & probabilitysymbols.namesakeKrigingStatisticssymbolsMaximum a posteriori estimation0101 mathematicsGaussian processAlgorithm0505 lawMathematics2017 25th European Signal Processing Conference (EUSIPCO)
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Il caracol quadrato in Sicilia (XVI secolo)

2022

Square spiral staircases appear in Sicily during the 16th century in different contexts and for different purposes. This contribution focuses on two case studies at the “opposite poles” of a casuistry that shares the common characteristics of suspended ramps revolving within a square masonry box around a central void. By analysing these cases we find a probable link with models from Spain. At the same time, they demonstrate a common descent from a constructive culture rooted in the Spanish and Mediterranean stereotomic experience of the early modern age.

16th centurySquare spiral staircasestereotomySettore ICAR/18 - Storia Dell'ArchitetturaSicily
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Multitemporal and multiresolution leaf area index retrieval for operational local rice crop monitoring

2016

Abstract This paper presents an operational chain for high-resolution leaf area index (LAI) retrieval from multiresolution satellite data specifically developed for Mediterranean rice areas. The proposed methodology is based on the inversion of the PROSAIL radiative transfer model through the state-of-the-art nonlinear Gaussian process regression (GPR) method. Landsat and SPOT5 data were used for multitemporal LAI retrievals at high-resolution. LAI estimates were validated using time series of in situ LAI measurements collected during the rice season in Spain and Italy. Ground LAI data were collected with smartphones using PocketLAI, a specific phone application for LAI estimation. Temporal…

2. Zero hunger010504 meteorology & atmospheric sciencesMean squared error0211 other engineering and technologiesSoil ScienceGeologyInversion (meteorology)02 engineering and technologyCrop monitoring; Rice; Leaf area index (LAI) retrieval; PROSAIL; Smartphone; Gaussian process regression (GPR); Landsat; SPOT5 Take501 natural sciencesAtmospheric radiative transfer codesKrigingSatellite dataGround-penetrating radarEnvironmental scienceComputers in Earth SciencesLeaf area indexRice crop021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRemote Sensing of Environment
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Crop Phenology Retrieval Through Gaussian Process Regression

2021

Monitoring crop phenology significantly assists agricultural managing practices and plays an important role in crop yield predictions. Multi-temporal satellite-based observations allow analyzing vegetation seasonal dynamics over large areas by using vegetation indices or deriving biophysical variables. This study presents a framework for automatic corn phenology characterization based on high spatial and temporal resolution time series. By using the Difference Vegetation Index (DVI) estimated from Sentinel-2 data over Iowa (US), independent phenological models were optimized using Gaussian Processes regression. Their respective performances were assessed based on simulated phenological indi…

2. Zero hunger010504 meteorology & atmospheric sciencesMean squared errorPhenology0211 other engineering and technologies02 engineering and technologyVegetation15. Life on land01 natural sciencesRegressionsymbols.namesakeKrigingTemporal resolutionStatisticssymbolsTime seriesGaussian process021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematics2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
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