Results 221 to 230 of about 9,795 (293)
Theoretical Considerations for Patient-Specific Modeling Based on Observable State Variables. [PDF]
Ateshian GA, Deiters S, Weiss JA.
europepmc +1 more source
Abstract Generalizability theory (G‐theory) defines a statistical framework for assessing measurement reliability by decomposing observed variance into meaningful components attributable to persons, facets, and error. Classic G‐theory assumes homoscedastic residual variances across measurement conditions, an assumption that is often violated in ...
Philippe Rast, Peter E. Clayson
wiley +1 more source
Truss structure optimization via hierarchical tree search. [PDF]
Sedighzadeh A, Torzoni M, Corigliano A.
europepmc +1 more source
Regularized reduced rank regression for mixed predictor and response variables
Abstract In this paper, we introduce the Generalized Mixed Regularized Reduced Rank Regression model (GMR4), an extension of the GMR3 model designed to improve performance in high‐dimensional settings. GMR3 is a regression method for a mix of numeric, binary and ordinal response variables, while also allowing for mixed‐type predictors through optimal ...
Lorenza Cotugno +2 more
wiley +1 more source
Secure color image encryption using a fractional-order chaotic PRNG and DNA-level operations. [PDF]
Yang C, Liu Y, Sun X, Han Q, Zhou D.
europepmc +1 more source
Establishing Shape Correspondences: A Survey
Abstract Shape correspondence between surfaces in 3D is a central problem in geometry processing, concerned with establishing meaningful relations between surfaces. While all correspondence problems share this goal, specific formulations can differ significantly: Downstream applications require certain properties that correspondences must satisfy ...
A. Heuschling, H. Meinhold, L. Kobbelt
wiley +1 more source
Dispersive lensing and shadows in RN-AdS spacetimes with dark energy and plasma: theory and observational constraints. [PDF]
Pradhan A, Ghaderi K, Zeyauddin M.
europepmc +1 more source
Abstract We introduce mixed super‐circles, a position‐curvature formulation of the original dynamic 2D super‐helix model. Compared to the latter, purely curvature‐based model – the so‐called chained formulation –, the mixed formulation that we propose here drastically reduces the algorithmic complexity of the solving scheme – from quadratic to quasi ...
Emile Hohnadel +2 more
wiley +1 more source
Measuring AI literacy in medical students: scale development and validation within a self-determination theory framework. [PDF]
Lin HC +5 more
europepmc +1 more source
Individualized Pathfinding in Rugged Open Terrains Using Semantic Navigation Meshes
We introduce semantic navigation meshes for complex outdoor terrains, partitioning space into regions with coherent semantic properties like slope or vegetation density. The resulting graphs enable efficient pathfinding with agent‐specific, parameterized cost functions without precomputation, accelerating search while maintaining path quality close to ...
C. Creus, N. Pelechano, O. Argudo
wiley +1 more source

