Results 161 to 170 of about 217,202 (282)
The Analytical Solutions to a Cation-Water Coupled Multiphysics Model of IPMC Sensors. [PDF]
Ishikawa K +4 more
europepmc +1 more source
ABSTRACT Constructing a biorthogonal structure from scratch, that is, defining a biorthogonal pair is quite tough. Because here the orthogonality must be established between two different sets. There are four known univariate biorthogonal polynomial sets, suggested by Laguerre, Jacobi, Hermite and Szegő‐Hermite polynomials, in the literature.
Esra Güldoğan Lekesiz
wiley +1 more source
Time-space multiscale model for viscoelastic construction materials using the initial stress method. [PDF]
Wang X +5 more
europepmc +1 more source
On Laplace's Integral Equations [PDF]
openaire +1 more source
Microencapsulated Alkane Wax Melting: Measured by 1$$ {}^1 $$H NMR Relaxometry and Diffusometry
NMR relaxometry and diffusometry measurements detected greater molecular‐level disordering in microencapsulated n‐alkane waxes versus unencapsulated waxes throughout melting. ABSTRACT Phase change materials (PCMs) are useful for energy storage. Large latent heats make n‐alkane waxes effective PCMs.
Matthew C. Young +5 more
wiley +1 more source
A hybrid computational framework for fractional cancer diffusion models in uncertain settings. [PDF]
Qayyum M +4 more
europepmc +1 more source
ABSTRACT Purpose To explore the relationship between potentially rate‐limiting steps in lactate production and the lactate area‐under‐the‐curve (AUC) to pyruvate AUC ratio for analysis of hyperpolarized (HP) [1‐13C]‐pyruvate data. Theory and Methods Simplifying assumptions are introduced to a pharmacokinetic (PK) model with three physical compartments ...
Ryan T. Boyce +6 more
wiley +1 more source
Fractional-order modelling and analytical solutions for MHD casson fluid flow in an inclined channel with heat and mass transfer. [PDF]
Alwuthaynani M +5 more
europepmc +1 more source
Personalized Differential Privacy for Ridge Regression Under Output Perturbation
ABSTRACT The increased application of machine learning (ML) in sensitive domains requires protecting the training data through privacy frameworks, such as differential privacy (DP). Traditional DP enforces a uniform privacy level ε$$ \varepsilon $$, which bounds the maximum privacy loss that each data point in the dataset is allowed to incur.
Krishna Acharya +3 more
wiley +1 more source
Exact Response Theory for Delay Equations. [PDF]
Gollinucci F, Ortu E, Rondoni L.
europepmc +1 more source

