Results 201 to 210 of about 160,178 (282)
Complex Discrete Nonlinear Dynamics: Chaos and Its Applications
Qingdu Li +3 more
doaj +1 more source
Discontinuous transition to active nematic turbulence. [PDF]
Hillebrand M, Alert R.
europepmc +1 more source
Kicked General Fractional Lorenz-Type Equations: Exact Solutions and Multi-Dimensional Discrete Maps. [PDF]
Tarasov VE.
europepmc +1 more source
Drawing teaching into scorable form: A socio‐material critique of lesson observation
Abstract Amid rising accountability and standardisation mandates, paraprofessional educators constitute a growing yet precarious segment of the global education workforce. While their roles are expanding, the instruments used to assess their practice remain critically underexamined, despite having significant consequences for professional identity and ...
Elizabeth Hashimura, Rob McGregor
wiley +1 more source
Programming chaotic centers for shaping light branching in topological nematic vortices. [PDF]
Yu X +7 more
europepmc +1 more source
Abstract Generating hydrogel beads pertains to many engineering applications. We examined two alginate‐based fluids at three concentrations of alginate, cAG. We used the “Map of Misery” to determine which material property (viscosity, elasticity, and inertia) drives droplet formation. Next, we measured the perimeter and circularity of hydrogel beads as
Conor G. Harris +5 more
wiley +1 more source
Lightweight image encryption for wireless sensor networks using optimized elliptic curve and fuzzy logic. [PDF]
Zarei M +3 more
europepmc +1 more source
The spread of non‐native species
ABSTRACT The global redistribution of species through human agency is one of the defining ecological signatures of the Anthropocene, with biological invasions reshaping biodiversity patterns, ecosystem processes and services, and species interactions globally.
Phillip J. Haubrock +16 more
wiley +1 more source
Fuzzy energy management using a chaotic model to improve fuel consumption of fuel cell-battery hybrid fixed-wing UAVs operating under uncertainty control. [PDF]
Rostami M, Habibi P, Farajollahi A.
europepmc +1 more source
ABSTRACT Data‐based learning of system dynamics allows model‐based control approaches to be applied to systems with partially unknown dynamics. Gaussian process regression is a preferred approach that outputs not only the learned system model but also the variance of the model, which can be seen as a measure of uncertainty.
Daniel Landgraf +2 more
wiley +1 more source

