Results 231 to 240 of about 83,235 (283)

Adaptive Capacity of Freshwater Organisms in North America: Current Understanding and Future Applications

open access: yesGlobal Change Biology Communications, Volume 1, Issue 2, June 2026.
This paper tailors adaptive capacity understanding for North American freshwater fishes, mussels, and crayfishes by integrating trait‐based approaches to provide practical guidance for improving management and conservation decisions under global change.
H. S. Embke   +21 more
wiley   +1 more source

Towards efficient solutions: A novel approach to quadratic nonlinearity in boundary value problems. [PDF]

open access: yesPLoS One
Kouser S   +5 more
europepmc   +1 more source

Topological phase locking in stochastic oscillators. [PDF]

open access: yesNat Commun
Chatzittofi M   +2 more
europepmc   +1 more source

Basins of Attraction

Science, 1996
Many remarkable properties related to chaos have been found in the dynamics of nonlinear physical systems. These properties are often seen in detailed computer studies, but it is almost always impossible to establish these properties rigorously for specific physical systems. This article presents some strange properties about basins of attraction.
Nusse, H.E., Yorke, J.A.
openaire   +2 more sources

INTERTWINED BASINS OF ATTRACTION

International Journal of Bifurcation and Chaos, 2012
This paper deals with intertwined basins of attraction for dynamical systems in a metric space. After giving a general definition of intertwining property, which is preserved by a topological equivalence between dynamical systems, we present a sufficient condition to guarantee the existence of intertwined basins for dynamical systems in ℝn.
openaire   +3 more sources

ATTRACTION BASIN OF BIDIRECTIONAL ASSOCIATIVE MEMORIES

International Journal of Neural Systems, 1996
In this paper, we investigate the attraction basin of the bidirectional associative memory (BAM) model. The BAM is a two-layer heteroassociator that stores a prescribed set of bipolar library pairs. It consists of two layers of neurons. One layer has n neurons and the other has p neurons.
C S, Leung, L W, Chan, J, Sum
openaire   +2 more sources

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