Results 41 to 50 of about 1,441 (213)
Asymptotic properties of cross‐classified sampling designs
Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
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The SIR Model in a Moving Population: Propagation of Infection and Herd Immunity
ABSTRACT In a collection of particles performing independent random walks on Zd$\mathbb {Z}^d$ we study the spread of an infection with SIR dynamics. Susceptible particles become infected when they meet an infected particle. Infected particles heal and are removed at rate ν$\nu$.
Duncan Dauvergne, Allan Sly
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Employing the moving least‐squares aided finite element method (MLS‐FEM) allows detailed thermal analysis in complex porous structures, such as polymeric foams, where the conductive heat transfer mechanism governs in the solid matrix and the convective mechanism dominates within the gas‐filled voids.
Mehdi Mostafaiyan +2 more
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The increasing need in techniques of storing big data presents a new challenge. One way to address this challenge is the use of distributed storage systems.
Agus Maman Abadi +2 more
doaj
How Is FinTech Shaping Household Portfolio Behaviour?
ABSTRACT This paper examines how FinTech adoption influences household portfolio allocation across major advanced economies. Using a flow‐of‐funds framework and the Almost Ideal Demand System (AIDS), we model household demand for currency, deposits, loans, debt securities, and equity in the United States, United Kingdom, Euro Area, Japan and Australia.
Victor Murinde, Athina Petropoulou
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ABSTRACT In coal‐grain composite regions, intensive underground coal extraction causes large‐scale surface subsidence; under shallow groundwater conditions, these subsided landscapes rapidly transform former croplands into persistent open water bodies, creating long‐term inundated landscapes. Passive water‐retention strategies in these areas often rely
Ruihao Cui +6 more
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ABSTRACT As the global tourism industry confronts the existential imperatives of the Anthropocene, the remediation of degraded landscapes through regenerative economic models has emerged as a critical frontier in sustainability science. This research presents a rigorous empirical examination of the “restoration–revenue” paradigm, investigating the ...
Xin Sui, Tianchang Chen
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We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés +2 more
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Improving Fetal Single‐Voxel Magnetic Resonance Spectroscopy With Spectral Registration
ABSTRACT Purpose To evaluate whether spectral registration improves spectral quality and quantification reliability in in vivo single‐voxel fetal brain MRS: Methods Fourteen fetal PRESS datasets were acquired at 3 T at TE = 35 ms and TE = 135 ms. Raw data were processed with eddy‐current phase correction, coil combination, spectral registration, and ...
Andres Saucedo +2 more
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A Branch‐and‐Price Algorithm for the Symmetric Electric Traveling Salesman Problem
ABSTRACT The Electric Traveling Salesman Problem (ETSP) is a variant of the well‐known TSP in which an electric vehicle must visit a set of customers minimizing the total cost of its route. The vehicle is assumed to be equipped with a battery of limited capacity that may need to be recharged along the route.
Alberto Ceselli +2 more
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