Search results for " function"

showing 10 items of 9395 documents

What is the best fitting function? Evaluation of lactate curves with common methods from the literature

2015

Using the lactate threshold for training prescription is the gold-standard, although there are several open questions. One open question is: What is the best fitting method for the load-lactate data points? This investigation re-analyses over 3500 lactate diagnostic datasets in swimming. Our evaluation software examines six different fitting methods with two different minimization criteria (RMSE and SE). Optimization of parameters of the functions is put in excecution with gradient descent. From a mathematical point of view, the double phase model, which consists of two linear regression lines, shows the least errors (RMSE min 0.254 ± 0.172; SE min 0.311 ± 0.210). However, this method canno…

Data pointBest fittingMean squared errorLactate thresholdStatisticsLinear regressionEconometricsFunction (mathematics)Gradient descentMathematicsExponential function
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<title>Methodology for quantitative analysis of scaling effects in multiresolution datasets acquired with airborne sensors flying at different …

2001

Scaling issues are always playing a critical role in most studies based on remote sensing data. The process of getting quantitative scaling information from raw multi-resolution images is not trivial, and many aspects must be taken very carefully into consideration. To get a better picture about the role of spatial resolution, we conducted a series of flights in summer 1997, in several test sites over Spain and Portugal. In order to minimize the time of acquisition (to get minimal changes in atmospheric status and solar illumination) we used three flight altitude levels, that produced images with 1.25 m, 3 m and 12 m resolutions. The main steps in our methodology are: a) Geometrical registr…

Data setData processingGeographyAltitudeRobustness (computer science)Multiresolution analysisBidirectional reflectance distribution functionSensor fusionImage resolutionRemote sensingSPIE Proceedings
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Sequential Learning with LS-SVM for Large-Scale Data Sets

2006

We present a subspace-based variant of LS-SVMs (i.e. regularization networks) that sequentially processes the data and is hence especially suited for online learning tasks. The algorithm works by selecting from the data set a small subset of basis functions that is subsequently used to approximate the full kernel on arbitrary points. This subset is identified online from the data stream. We improve upon existing approaches (esp. the kernel recursive least squares algorithm) by proposing a new, supervised criterion for the selection of the relevant basis functions that takes into account the approximation error incurred from approximating the kernel as well as the reduction of the cost in th…

Data streamSupport vector machineApproximation errorBasis functionSequence learningLarge scale dataAlgorithmRegularization (mathematics)Subspace topologyMathematics
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Bezservera integrāciju izstrāde Microsoft Azure mākoņvidē

2019

Kvalifikācijas darbs “Bezservera integrāciju izstrāde Microsoft Azure mākoņvidē” apraksta integrāciju no Azure Active Directory sistēmas uz LMS sistēmu. Integrācija ir izstrādāta priekš Raet uzņēmuma, kas to izmantos lai integrētu datus. Integrācijas īstenošanā tiks izmantoti Azure produkti , pārsvarā Azure Logic Apps un Azure Functions. Sistēma izmantos vairākas datu glabātuves, kuras izvietotas Azure mākoņvidē. Divas NoSQL datubāzes - canonical un state, kur glabāsies visi dati no sistēmām, Blob storage, kur atradīsies nepieciešamās atslēgas un Table storage ar trigeru vēsturi. Lai nodrošinātu nepārtrauktu, uz notikumiem balstītu, datu plūsmu, izmantots Azure Event Grid, kas nodrošina izd…

DatorzinātneIntegrācijaAzureMākoņvideLogic AppAzure Functions
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Modulation of Irisin and Physical Activity on Executive Functions in Obesity and Morbid obesity

2016

Whether the executive profile is different between obesity (OB) and morbid obesity (MO) remains unclear. Recent evidence suggests that physical activity (PA) can act as a cognitive enhancer. Irisin is a recently discovered hormone associated with some of the positive effects of PA. The objective of the study was to investigate the executive profile in OB and MO, and to explore the role of PA and irisin. 114 participants were included (21 OB, 44 MO and 49 healthy controls-HC) in the study and assessed with the Wisconsin Card Sorting Test, Stroop Color and Word Test, and Iowa Gambling Task. All participants were female, aged between 18 and 60 years. Results showed a similar dysfunctional prof…

DecisionObesitat mòrbida -- TractamentMorbid obesity0302 clinical medicineWisconsin Card Sorting TestObesity -- TreatmentMorbid obesity -- TreatmentMultidisciplinaryNeuropsychologyExercici -- Aspectes fisiològicsCognitionMiddle AgedExecutive functionsObesity MorbidObesitat -- TractamentCognitive controlObesitatFemaleClinical psychologyAdultIrisinmedicine.medical_specialtyAdolescentDecision MakingObesitat mòrbidaDysfunctional profile030209 endocrinology & metabolismDysfunctional familyPredictive markersArticle03 medical and health sciencesInternal medicinemedicineHumansObesityExercisePhysical activitybusiness.industryPhysical fitnessmedicine.diseaseObesityIowa gambling taskHormonesFibronectinsEndocrinologybusinessDecision making030217 neurology & neurosurgeryStroop effectCondició físicaScientific Reports
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Multi-integrals of finite variation

2020

The aim of this paper is to investigate different types of multi-integrals of finite variation and to obtain decomposition results.

Decomposition of multifunctionsFinite variation54C60General Mathematics010102 general mathematics54C6501 natural sciencesFunctional Analysis (math.FA)28B20 26E25 26A39 28B05 46G10 54C60 54C65Mathematics - Functional Analysis28B0526A3926E25Settore MAT/05 - Analisi MatematicaFinite interval variationFOS: MathematicsDecomposition (computer science)Applied mathematicsMathematics - Functional Analysis; Mathematics - Functional Analysis; 28B20 26E25 26A39 28B05 46G10 54C60 54C6528B200101 mathematicsMultivalued integralMathematics46G10
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Dipolar coupling of nanoparticle-molecule assemblies: An efficient approach for studying strong coupling

2021

Strong light-matter interactions facilitate not only emerging applications in quantum and non-linear optics but also modifications of materials properties. In particular the latter possibility has spurred the development of advanced theoretical techniques that can accurately capture both quantum optical and quantum chemical degrees of freedom. These methods are, however, computationally very demanding, which limits their application range. Here, we demonstrate that the optical spectra of nanoparticle-molecule assemblies, including strong coupling effects, can be predicted with good accuracy using a subsystem approach, in which the response functions of the different units are coupled only a…

Degrees of freedom (statistics)General Physics and AstronomyNanoparticleFOS: Physical sciences010402 general chemistryoptiset ominaisuudet01 natural scienceslinear combination of atomic orbitalstime dependent density functional theorynanorakenteet0103 physical sciencesMesoscale and Nanoscale Physics (cond-mat.mes-hall)MoleculePhysical and Theoretical Chemistryoptical spectroscopyQuantumPhysicssurface optics010304 chemical physicsCondensed Matter - Mesoscale and Nanoscale Physicstiheysfunktionaaliteoriapolarizability0104 chemical sciencesplasmonitRange (mathematics)DipoleChemical physicsDensity functional theorynanoparticlesnanohiukkasetplasmonsMagnetic dipole–dipole interaction
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Impact of a Three Amino Acid Deletion in the CH2 Domain of Murine IgG1 on Fc-Associated Effector Functions

2008

Abstract Four murine IgG subclasses display markedly different Fc-associated effector functions because of their differential binding to three activating IgG Fc receptors (FcγRI, FcγRIII, and FcγRIV) and C1q. Previous analysis of IgG subclass switch variants of 34-3C anti-RBC monoclonal autoantibodies revealed that the IgG1 subclass, which binds only to FcγRIII and fails to activate complement, displayed the poorest pathogenic potential. This could be related to the presence of a three amino acid deletion at positions 233–235 in the CH2 domain uniquely found in this subclass. To address this question, IgG1 insertion and IgG2b deletion mutants at positions 233–235 of 34-3C anti-RBC Abs were …

Deletion mutantImmunologyAntibody AffinityDown-Regulationddc:616.07BiologySubclassProtein Structure Tertiary/geneticsMiceAnimalsImmunology and AllergyAmino AcidsEffector functionsSequence DeletionMice Knockoutchemistry.chemical_classificationMice Inbred BALB CMice Inbred NZBAnemia Hemolytic Autoimmune/genetics/immunologyReceptors IgGAutoantibodyAmino Acids/chemistry/genetics/metabolismIgg subclassesReceptors IgG/antagonists & inhibitors/genetics/metabolismPathogenicityProtein Structure TertiaryImmunoglobulin G/genetics/metabolismImmunoglobulin Switch RegionCell biologyAmino acidImmunoglobulin Heavy Chains/biosynthesis/genetics/metabolismAntibody Affinity/geneticsBiochemistrychemistryImmunoglobulin GMonoclonalMutagenesis Site-DirectedAnemia Hemolytic AutoimmuneDown-Regulation/genetics/immunologyImmunoglobulin Heavy ChainsThe Journal of Immunology
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Size-Dependent Structural Evolution and Chemical Reactivity of Gold Clusters

2006

Ground-state structures and other experimentally relevant isomers of Au(15) (-) to Au(24) (-) clusters are determined through joint first-principles density functional theory and photoelectron spectroscopy measurements. Subsequent calculations of molecular O(2) adsorption to the optimal cluster structures reveal a size-dependent reactivity pattern that agrees well with earlier experiments. A detailed analysis of the underlying electronic structure shows that the chemical reactivity of the gold cluster anions can be elucidated in terms of a partial-jellium picture, where delocalized electrons occupying electronic shells move over the ionic skeleton, whose geometric structure is strongly infl…

Delocalized electronGold clusterX-ray photoelectron spectroscopyChemical physicsChemistryCluster (physics)Analytical chemistryIonic bondingDensity functional theoryReactivity (chemistry)Electronic structurePhysical and Theoretical ChemistryAtomic and Molecular Physics and OpticsChemPhysChem
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Imidazole-amino acids. Conformational switch under tautomer and pH change.

2022

AbstractReplacement of the main chain peptide bond by imidazole ring seems to be a promising tool for the peptide-based drug design, due to the specific prototropic tautomeric as well as amphoteric properties. In this study, we present that both tautomer and pH change can cause a conformational switch of the studied residues of alanine (1–4) and dehydroalanine (5–8) with the C-terminal peptide group replaced by imidazole. The DFT methods are applied and an environment of increasing polarity is simulated. The conformational maps (Ramachandram diagrams) are presented and the stability of possible conformations is discussed. The neutral forms, tautomers τ (1) and π (2), adapt the conformations…

Density Functional Theory (DFT)Conformational analysisOrganic ChemistryClinical BiochemistryTautomersNon-standard amino acidsRamachandran mapBiochemistryImidazoleAmino acids
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