Results 111 to 120 of about 95,377 (221)
Exploring entropy measures in polymer graphs using logarithmic regression model. [PDF]
Irfan M +5 more
europepmc +1 more source
ABSTRACT Structural Complexity is perceived as driving cost in system development, yet managing it effectively requires empirical understanding. This study investigates human decision‐making using a toy transportation‐style network design task, focusing on how Structural Complexity, Effort, and Performance interact. Seventy‐four participants (primarily
Alfonso Lanza +3 more
wiley +1 more source
Analytical study of mode filtering in a duct with resistive layers. [PDF]
Alahmadi H, Afzal M, Javeed U, Nawaz T.
europepmc +1 more source
Evaluating the Microstructure and Interaction of Bioaggregates in Concrete Using microCT
ABSTRACT This study investigates the use of x‐ray computed microtomography (microCT) to evaluate the incorporation of bioaggregates—specifically macauba (Acrocomia aculeata) endocarp and jute fibers—into cement‐based composites. MicroCT enables non‐destructive, three‐dimensional characterization of the internal microstructure, providing insights into ...
Olga M. O. de Araujo +5 more
wiley +1 more source
The Polytope Formalism: application to molecular constitution and the prospect of a complete description of Chemical Space. [PDF]
Canfield PJ, Crossley MJ.
europepmc +1 more source
ABSTRACT Monge–Ampère equations (MAEs) are fully nonlinear second‐order partial differential equations (PDEs), which are closely related to various fields including optimal transport (OT) theory, geometrical optics and affine geometry. Despite their significance, MAEs are extremely challenging to solve.
Xinghua Pan, Zexin Feng, Kang Yang
wiley +1 more source
Structural Exploration and Expected values of Topological Indices of Square-Hexagonal <i>T</i> <sub>2,3</sub> Kink Chains for Advanced Engineering Applications. [PDF]
Kanwal S, Khalil M, Razzaque A.
europepmc +1 more source
A Universal Meta‐Heuristic Framework for Influence Maximisation in Hypergraphs
ABSTRACT Influence maximisation (IM) aims to select a small number of nodes that are able to maximise their influence in a network and covers a wide range of applications. Despite numerous attempts to provide effective solutions in simple networks, higher‐order interactions between entities in various real‐world systems are usually not taken into ...
Ming Xie +5 more
wiley +1 more source
Equivariant valuations on convex functions. [PDF]
Hofstätter GC, Knoerr J.
europepmc +1 more source

