Search results for "Correlation"

showing 10 items of 2282 documents

Extending Joint Models in Community Ecology : A Response to Beissinger et al.

2016

The joint modelling of many variables in community ecology is a new and technically challenging area with many opportunities for future developments. The possibility of extending joint models to deal with imperfect detection has been highlighted by Beissinger et al. as an important problem worthy of further investigation [1]. We agree, and previously pointed to this potential extension as an outstanding question [2], alongside models that can estimate phylogenetic repulsion or attraction, nonlinearity in the response to latent variables, and spatial or temporal correlation, because further developments in all these directions are needed.

0106 biological sciencesta112CommunityComputer science010604 marine biology & hydrobiologyjoint modelsLatent variableTemporal correlation010603 evolutionary biology01 natural sciencesExtension (metaphysics)EconometricsImperfectJoint (geology)Ecology Evolution Behavior and Systematicscommunity ecologyTrends in Ecology and Evolution
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How to reach optimal estimates of confidence intervals in microscopic counting of phytoplankton?

2021

Abstract Present practices in the microscopic counting of phytoplankton to estimate the reliability of results rely on the assumption of a random distribution of taxa in sample preparations. In contrast to that and in agreement with the literature, we show that aggregated distribution is common and can lead to over-optimistic confidence intervals, if estimated according to the shortcut procedure of Lund et al. based on the number of counted cells. We found a good linear correlation between the distribution independent confidence intervals for medians and those for parametric statistics so that 95% confidence intervals can be approximated by using a correction factor of 1.4. Instead, the rec…

0106 biological sciencestilastomenetelmätSample (statistics)mikroskopiaAquatic Scienceluottamustasotdynamic counting010603 evolutionary biology01 natural sciencesStatisticsAcademicSubjects/SCI00970laskeminenconfidence intervalsERROREcology Evolution Behavior and SystematicsReliability (statistics)estimointiParametric statisticsMathematicsEcology010604 marine biology & hydrobiologyplanktonContrast (statistics)mikrolevätConfidence interval1181 Ecology evolutionary biologymicroscopyphytoplanktonOriginal ArticleLinear correlationJournal of Plankton Research
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Screening of durum wheat landraces (Triticum turgidum subsp. durum) for the malting suitability

2018

Abstract Durum (T. turgidum subsp. durum) wheat production worldwide is substantially less than that of common wheat (Triticum aestivum) mainly due to the relatively limited end-users. In order to evaluate malting and brewing suitability, sixteen old durum wheat landraces were malted at micro scale. Results show malt quality parameters in the range 78.2–85.9% for the extract, 72.9–80.9% for the fermentability, 3–5 EBC units for the colour, 0.49–0.79% dm for water-extractable arabinoxylans and 0.043–0.059% dm for the β-glucans. Regarding wort viscosity (1.53–1.92 mPa s), we found negative correlation with endo-1,4-β-D-xylanase, positive correlation with endo-β-glucanases and soluble proteins…

0106 biological sciencesβ-glucanBiologyWort viscosityPositive correlation01 natural sciencesBiochemistrychemistry.chemical_compound0404 agricultural biotechnology010608 biotechnologyArabinoxylanArabinoxylanbeta-glucansDurum WheatsCommon wheatDurum wheatArabinoxylansbusiness.industryWheat malt04 agricultural and veterinary sciencesSettore AGR/15 - Scienze E Tecnologie Alimentari040401 food scienceHorticultureTriticum turgidum subsp. durumchemistryBrewingNegative correlationbusinessFood Science
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Cross-correlation of whitened vibration signals for low-speed bearing diagnostics

2019

Abstract Rolling-element bearings are crucial components in all rotating machinery, and their failure will initially degrade the machine performance, and later cause complete shutdown. The period between an initial crack and complete failure is short due to crack propagation. Therefore, early fault detection is important to avoid unexpected machine shutdown and to aid in maintenance scheduling. Bearing condition monitoring has been applied for several decades to detect incipient faults at an early stage. However, low-speed conditions pose a challenge for bearing fault diagnosis due to low fault impact energy. To reliably detect bearing faults at an early stage, a new method termed Whitened …

0209 industrial biotechnologyComputer scienceAerospace Engineering02 engineering and technology01 natural sciencesFault detection and isolationScheduling (computing)law.inventionsymbols.namesake020901 industrial engineering & automationlawControl theory0103 physical sciences010301 acousticsCivil and Structural EngineeringBearing (mechanical)Cross-correlationMechanical EngineeringCondition monitoringRotational speedComputer Science ApplicationsVibrationControl and Systems EngineeringSignal ProcessingsymbolsHilbert transformMechanical Systems and Signal Processing
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Onset of cohesion in cement paste

2004

It is generally agreed that the cohesion of cement paste occurs through the formation of a network of nanoparticles of a calcium-silicate-hydrate ("C-S-H"). However, the mechanism by which these particles develop this cohesion has not been established. Here we propose a dielectric continuum model which includes all ionic interactions within a dispersion of C-S-H particles. It takes into account all co-ions and counterions explicitly (with pure Coulomb interactions between ions and between ions and the surfaces) and makes no further assumptions concerning their hydration or their interactions with the surface sites. At high surface charge densities, the model shows that the surface charge of…

0211 other engineering and technologiesCementNanoparticleIonic bonding02 engineering and technologyDielectricCSHIonchemistry.chemical_compound021105 building & constructionElectrochemistryGeneral Materials ScienceSurface chargecalcium silicate hydrateCalcium silicate hydrateionic correlationsSpectroscopyMonte Carlo simulation[CHIM.MATE] Chemical Sciences/Material chemistryIonic radiusatomic force microscopySurfaces and Interfaces[CHIM.MATE]Chemical Sciences/Material chemistry021001 nanoscience & nanotechnologyCondensed Matter PhysicsC-S-HcohesionchemistryChemical physics[ CHIM.MATE ] Chemical Sciences/Material chemistryCohesion (chemistry)nanoparticlesAFM0210 nano-technology
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Clinical course of sly syndrome (mucopolysaccharidosis type VII).

2016

WOS: 000377110800007

0301 basic medicineAdultMalePediatricsmedicine.medical_specialtyAdolescentMucopolysaccharidosisSly syndromeHepatosplenomegalyMetabolic disordersMucopolysaccharidosis VIIMedical and Health Sciences03 medical and health sciencesYoung Adult0302 clinical medicineHydrops fetalisSurveys and QuestionnairesmedicineGeneticsHumansMedical history1506Clinical geneticsFamily historyPreschoolChildGenetics (clinical)GlucuronidaseGenetics & Hereditybusiness.industryGenotype-Phenotype CorrelationsMucopolysaccharidosis VIIInfantEnzyme replacement therapyBiological Sciencesmedicine.diseaseLysosomal Storage Diseases030104 developmental biologyPhenotypeClinical genetics Genetics Metabolic disordersChild PreschoolFemalemedicine.symptombusiness030217 neurology & neurosurgeryMPS ; lysosomal storage disease ; β-glucuronidase
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Impact of Fermentation on the Recovery of Antioxidant Bioactive Compounds from Sea Bass Byproducts

2020

The aim of the present research was to obtain antioxidant compounds through the fermentation of fish byproducts by bacteria isolated from sea bass viscera. To that purpose, bacteria from sea bass stomach, intestine, and colon were isolated. With the selected bacteria, growing research was undertaken, fermenting different broths prepared with sea bass meat or byproducts. After the fermentation, the antioxidant activity, phenolic acids, and some proteins were evaluated. The main phenolic acids obtained were DL-3-phenyl-lactic acid and benzoic acid at a maximum concentration of 466 and 314 ppb, respectively. The best antioxidant activity was found in the extracts obtained after the fermentatio…

0301 basic medicineAntioxidantPhysiologymedicine.medical_treatmentClinical Biochemistryantioxidant activityPositive correlationBiochemistryArticle03 medical and health scienceschemistry.chemical_compound0404 agricultural biotechnologymedicinefishing industry byproducts14. Life underwaterFood scienceSea bassMolecular BiologyfermentationBenzoic acidbiologylcsh:RM1-950Ambientalefood and beverages04 agricultural and veterinary sciencesCell Biologybiology.organism_classification040401 food scienceLactic acidAntioxidant capacity030104 developmental biologylcsh:Therapeutics. PharmacologychemistryAntioxidant activity; Bioactive peptides; Fermentation; Fishing industry byproducts; Phenolic acidsFermentationsense organsphenolic acidsbioactive peptidesBacteriaAntioxidants
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A Pan-Cancer Approach to Predict Responsiveness to Immune Checkpoint Inhibitors by Machine Learning

2019

Immunotherapy by using immune checkpoint inhibitors (ICI) has dramatically improved the treatment options in various cancers, increasing survival rates for treated patients. Nevertheless, there are heterogeneous response rates to ICI among different cancer types, and even in the context of patients affected by a specific cancer. Thus, it becomes crucial to identify factors that predict the response to immunotherapeutic approaches. A comprehensive investigation of the mutational and immunological aspects of the tumor can be useful to obtain a robust prediction. By performing a pan-cancer analysis on gene expression data from the Cancer Genome Atlas (TCGA, 8055 cases and 29 cancer types), we …

0301 basic medicineCancer ResearchImmune checkpoint inhibitorsmedicine.medical_treatmentimmunology-pancancerimmune checkpoint inhibitorContext (language use)Machine learningcomputer.software_genrelcsh:RC254-282Article03 medical and health sciences0302 clinical medicinemedicineExtreme gradient boostingPan cancerbusiness.industryCancerImmunotherapylcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogensMatthews correlation coefficientmedicine.diseaseSupport vector machine030104 developmental biologymachine learningOncology030220 oncology & carcinogenesisArtificial intelligencebusinesscomputerCancers
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Prospective Image Quality and Lesion Assessment in the Setting of MR-Guided Radiation Therapy of Prostate Cancer on an MR-Linac at 1.5 T: A Compariso…

2021

The objective of this study is to conduct a qualitative and a quantitative image quality and lesion evaluation in patients undergoing MR-guided radiation therapy (MRgRT) for prostate cancer on a hybrid magnetic resonance imaging and linear accelerator system (MR-Linac or MRL) at 1.5 Tesla. This prospective study was approved by the institutional review board. A total of 13 consecutive patients with biopsy-confirmed prostate cancer and an indication for MRgRT were included. Prior to radiation therapy, each patient underwent an MR-examination on an MRL and on a standard MRI scanner at 3 Tesla (MRI3T). Three readers (two radiologists and a radiation oncologist) conducted an independent qualita…

0301 basic medicineCancer ResearchIntraclass correlationImage qualityPIRADSFleiss' kappalcsh:RC254-282ArticleLesion03 medical and health sciences0302 clinical medicineimage qualityMedicineEffective diffusion coefficientimage guidanceRadiation oncologistMR-Linacmedicine.diagnostic_testbusiness.industryMagnetic resonance imaginglcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogenslesion detection030104 developmental biologyadaptive radiotherapyOncologyprostate carcinoma030220 oncology & carcinogenesismpMRImedicine.symptombusinessNuclear medicineKappaCancers
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Quantum clustering in non-spherical data distributions: Finding a suitable number of clusters

2017

Quantum Clustering (QC) provides an alternative approach to clustering algorithms, several of which are based on geometric relationships between data points. Instead, QC makes use of quantum mechanics concepts to find structures (clusters) in data sets by finding the minima of a quantum potential. The starting point of QC is a Parzen estimator with a fixed length scale, which significantly affects the final cluster allocation. This dependence on an adjustable parameter is common to other methods. We propose a framework to find suitable values of the length parameter σ by optimising twin measures of cluster separation and consistency for a given cluster number. This is an extension of the Se…

0301 basic medicineClustering high-dimensional dataMathematical optimizationCognitive NeuroscienceSingle-linkage clusteringCorrelation clustering02 engineering and technologyComputer Science ApplicationsHierarchical clusteringDetermining the number of clusters in a data set03 medical and health sciences030104 developmental biologyArtificial Intelligence0202 electrical engineering electronic engineering information engineeringCluster (physics)020201 artificial intelligence & image processingQACluster analysisAlgorithmk-medians clusteringMathematicsNeurocomputing
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