Search results for "Theorem"

showing 10 items of 1250 documents

The prevalence of onchocerciasis in Africa and Yemen, 2000-2018: a geospatial analysis.

2022

Abstract Background Onchocerciasis is a disease caused by infection with Onchocerca volvulus, which is transmitted to humans via the bite of several species of black fly, and is responsible for permanent blindness or vision loss, as well as severe skin disease. Predominantly endemic in parts of Africa and Yemen, preventive chemotherapy with mass drug administration of ivermectin is the primary intervention recommended for the elimination of its transmission. Methods A dataset of 18,116 geo-referenced prevalence survey datapoints was used to model annual 2000–2018 infection prevalence in Africa and Yemen. Using Bayesian model-based geostatistics, we generated spatially continuous estimates o…

Onchocerciasis; Geospatial model; Neglected tropical diseases;IvermectinYemenSettore MED/06 - Oncologia MedicaSettore MED/42 - Igiene Generale e ApplicataNigeriaBayes TheoremGeneral MedicineOnchocerciasisGhanaSettore MED/01 - Statistica MedicaGeneral & Internal MedicinePrevalenceHumansGeospatial model11 Medical and Health SciencesNeglected tropical diseasesBMC medicine
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A statistical approach to an individualized prognostic index (IPI) for breast cancer survivability

1983

The authors present 611 and 262 case histories of patients with breast cancer, studied 5 and 10 years after mastectomy, respectively; 27 clinical and 10 histologic parameters were considered for the statistical evaluation, in order to define an Individualized Prognostic Index (IPI) for breast cancer survivability. The probability of survival was estimated by a Bayesian formula using selected prognostic parameters, these parameters were placed in order of discriminant resolution and, for the calculation of the IPI, were selected according to their importance, as it follows: 5 years after surgery: percent affected nodules, dermal infiltration, TNM phase, Scarff-Bloom index and evolutive outbr…

OncologyCancer Researchmedicine.medical_specialtybusiness.industrymedicine.medical_treatmentMammary glandmedicine.diseaseSurgeryBayes' theoremBreast cancermedicine.anatomical_structureOncologyInternal medicineMedicinebusinessProbability of survivalMastectomyCancer
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Cost-effectiveness analysis of the first-line EGFR-TKIs in patients with advanced EGFR-mutated non-small-cell lung cancer.

2021

To evaluate the cost-effectiveness of first-line treatments, such as erlotinib, gefitinib, afatinib, dacomitinib, and osimertinib, for patients diagnosed with stage IIIB/IV NSCLC harboring EGFR mutations.A partitioned survival model was developed to estimate quality-adjusted life-year (QALY) and incremental cost-effectiveness ratio (ICER) from the perspective of the Spanish National Health System. Two Bayesian NMAs were performed independently, by using the polynomial fraction method to fit Kaplan-Meier curves for overall survival and progression-free survival. Deterministic and probabilistic sensitivity analyses were performed to evaluate the uncertainty.The ICER was calculated for the fou…

Oncologycongenital hereditary and neonatal diseases and abnormalitiesmedicine.medical_specialtyLung NeoplasmsCost effectivenessAfatinibCost-Benefit AnalysisAfatinibchemistry.chemical_compoundErlotinib HydrochlorideGefitinibInternal medicineCarcinoma Non-Small-Cell LungmedicineHumansheterocyclic compoundsPharmacology (medical)OsimertinibLung cancerneoplasmsProtein Kinase Inhibitorsbusiness.industryHealth PolicyBayes TheoremGefitinibGeneral MedicineCost-effectiveness analysismedicine.diseaseDacomitinibrespiratory tract diseasesErbB ReceptorschemistryMutationErlotinibbusinessmedicine.drugExpert review of pharmacoeconomicsoutcomes research
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Covering by discrete and closed discrete sets.

2008

Say that a cardinal number $\kappa$ is \emph{small} relative to the space $X$ if $\kappa <\Delta(X)$, where $\Delta(X)$ is the least cardinality of a non-empty open set in $X$. We prove that no Baire metric space can be covered by a small number of discrete sets, and give some generalizations. We show a ZFC example of a regular Baire $\sigma$-space and a consistent example of a normal Baire Moore space which can be covered by a small number of discrete sets. We finish with some remarks on linearly ordered spaces.

Open setMathematics::General TopologyBaireBaire measure01 natural sciencesComplete metric spaceDiscrete setFOS: MathematicsProperty of Baire0101 mathematicsDispersion characterMoore spaceMathematicsMathematics - General TopologyDiscrete mathematicsMoore space (topology)σ-space010102 general mathematicsGeneral Topology (math.GN)Baire spaceBaire property010101 applied mathematicsMetric spaceMathematics::Logic54A25 54E52Baire category theoremSettore MAT/03 - GeometriaGeometry and TopologyLOTSsigma-space
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Approximation properties of q-Kantorovich-Stancu operator

2015

In this paper we study some properties of Kantorovich-type generalizations of the q-Stancu operators. We obtain some approximation properties for these operators, estimating the rate of convergence by using the first and second modulus of continuity. Also, we investigate the statistical approximation properties of the q-Kantorovich-Stancu operators using the Korovkin-type statistical approximation theorem.

Operator (computer programming)Rate of convergenceStatistical approximationApplied MathematicsMathematical analysisDiscrete Mathematics and CombinatoricsSpouge's approximationSpectral theoremOperator theoryOperator normAnalysisModulus of continuityMathematicsJournal of Inequalities and Applications
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A survey on solvable sesquilinear forms

2018

The aim of this paper is to present a unified theory of many Kato type representation theorems in terms of solvable forms on a Hilbert space \((H,\langle\cdot,\cdot\rangle)\) In particular, for some sesquilinear forms Ω on a dense domain \(D\subseteq\mathcal {H}\) one looks for a representation \(\Omega(\xi,\eta)= \langle T\xi,\eta\rangle\) \((\xi\epsilon\mathcal{D}\mathcal(T),\eta\epsilon D)\) where T is a densely defined closed operator with domain \(D(\mathcal{T})\subseteq \mathcal{D}\). There are two characteristic aspects of a solvable form on H. One is that the domain of the form can be turned into a reexive Banach space that need not be a Hilbert space. The second one is that represe…

Operator (physics)Banach spaceHilbert spaceKato’s representation theoremType (model theory)Combinatoricssymbols.namesakeSettore MAT/05 - Analisi MatematicaProduct (mathematics)Bounded functionDomain (ring theory)symbolsQ-closed and solvable sesquilinear formsUnified field theoryMathematics
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Molecule non-radiative coupling to a metallic nanosphere: an optical theorem treatment.

2009

The non-radiative coupling of a molecule to a metallic spherical particle is approximated by a sum involving particle quasistatic polarizabilities. We demonstrate that energy transfer from molecule to particle satisfies the optical theorem if size effects corrections are properly introduced into the quasistatic polarizabilities. We hope that this simplified model gives valuable information on the coupling mechanism between molecule and metallic nanos-tructures available for, e.g., surface enhanced spectroscopy signal analysis.

Optical Rotationoptical theoremMetal NanoparticlesSpectrum Analysis RamanMolecular physicsCatalysislcsh:ChemistryInorganic ChemistryComputational chemistryRadiative transferMoleculePhysical and Theoretical ChemistryOptical rotationPhysics::Chemical PhysicsParticle SizeSpectroscopylcsh:QH301-705.5Molecular BiologySpectroscopyPhysicsCouplingenergy transferCommunicationOrganic ChemistryOptical theoremGeneral MedicineComputer Science Applicationsplasmon modeslcsh:Biology (General)lcsh:QD1-999Models Chemicalsurface enhanced spectroscopyParticleGoldQuasistatic processAlgorithmsNanospheresInternational journal of molecular sciences
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Adaptive design optimization: a mutual information-based approach to model discrimination in cognitive science.

2010

Discriminating among competing statistical models is a pressing issue for many experimentalists in the field of cognitive science. Resolving this issue begins with designing maximally informative experiments. To this end, the problem to be solved in adaptive design optimization is identifying experimental designs under which one can infer the underlying model in the fewest possible steps. When the models under consideration are nonlinear, as is often the case in cognitive science, this problem can be impossible to solve analytically without simplifying assumptions. However, as we show in this letter, a full solution can be found numerically with the help of a Bayesian computational trick d…

Optimal designCognitive scienceModels StatisticalArtificial neural networkbusiness.industryCognitive NeuroscienceDesign of experimentsBayesian probabilityPosterior probabilityStatistical modelBayes TheoremMutual informationDensity estimationCognitionDiscrimination PsychologicalArts and Humanities (miscellaneous)Nonlinear DynamicsResearch DesignHumansComputer SimulationArtificial intelligencebusinessMathematicsNeural computation
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Optimal shakedown design of beam structures

1994

The optimal design of plane beam structures made of elastic perfectly plastic material is studied according to the shakedown criterion. The design problem is formulated by means of a statical approach on the grounds of the shakedown lower bound theorem, and by means of a kinematical approach on the grounds of the shakedown upper bound theorem. In both cases two different types of design problems are formulated: one searches for the minimum volume design whose shakedown limit load is assigned; the other searches for the design of the assigned volume whose shakedown limit load is maximum. The optimality conditions of the four problems above are found by the use of a variational approach; such…

Optimal designMathematical optimizationControl and OptimizationPlane (geometry)General EngineeringComputer Graphics and Computer-Aided DesignUpper and lower boundsComputer Science ApplicationsShakedownControl and Systems EngineeringLimit loadEngineering design processEquivalence (measure theory)SoftwareMathematicsUpper bound theoremStructural Optimization
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Shakedown optimal design of reinforced concrete structures by evolution strategies

2000

Approaches the shakedown optimal design of reinforced concrete (RC) structures, subjected to variable and repeated external quasi‐static actions which may generate the well‐known shakedown or adaptation phenomenon, when constraints are imposed on deflection and/or deformation parameters, in order to simulate the limited flexural ductility of the material, in the presence of combined axial stress and bending. Within this context, the classical shakedown optimal design problem is revisited, using a weak upper bound theorem on the effective plastic deformations. For this problem a new computational algorithm, termed evolution strategy, is herein presented. This algorithm, derived from analogy …

Optimal designbusiness.industryComputer scienceGeneral EngineeringStructural engineeringComputer Science ApplicationsShakedownComputational Theory and MathematicsFlexural strengthDeflection (engineering)Bending momentCylinder stressbusinessEvolution strategySoftwareUpper bound theorem
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