Results 51 to 60 of about 339,262 (287)

Training Echo State Networks with Regularization through Dimensionality Reduction [PDF]

open access: yes, 2016
In this paper we introduce a new framework to train an Echo State Network to predict real valued time-series. The method consists in projecting the output of the internal layer of the network on a space with lower dimensionality, before training the ...
Bianchi, Filippo Maria   +2 more
core   +2 more sources

PICALM::MLLT10 translocated leukemia

open access: yesFEBS Letters, EarlyView.
This comprehensive review of PICALM::MLLT10 translocated acute leukemia provides an in‐depth review of the structure and function of CALM, AF10, and the fusion oncoprotein (1). The multifaceted molecular mechanisms of oncogenesis, including nucleocytoplasmic shuttling (2), epigenetic modifications (3), and disruption of endocytosis (4), are then ...
John M. Cullen   +7 more
wiley   +1 more source

A Review of Mathematical and Computational Methods in Cancer Dynamics

open access: yesFrontiers in Oncology, 2022
Cancers are complex adaptive diseases regulated by the nonlinear feedback systems between genetic instabilities, environmental signals, cellular protein flows, and gene regulatory networks. Understanding the cybernetics of cancer requires the integration
Abicumaran Uthamacumaran   +5 more
doaj   +1 more source

Review of modern models and methods of analysis of time series of dynamics of processes in social, economic and socio-technical systems

open access: yesRussian Technological Journal, 2020
The directions of perspective research in the field of analysis and modeling of the dynamics of time series of processes in complex systems with the presence of the human factor are described. The dynamics of processes in such systems is described by nonstationary time series. Predicting the evolution of such systems is of great importance for managing
E. G. Andrianova   +4 more
openaire   +3 more sources

Power-laws in recurrence networks from dynamical systems

open access: yes, 2012
Recurrence networks are a novel tool of nonlinear time series analysis allowing the characterisation of higher-order geometric properties of complex dynamical systems based on recurrences in phase space, which are a fundamental concept in classical ...
Donges, J. F.   +8 more
core   +1 more source

Structural biology of ferritin nanocages

open access: yesFEBS Letters, EarlyView.
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley   +1 more source

An improved methodology for quantifying causality in complex ecological systems.

open access: yesPLoS ONE, 2019
This paper provides a statistical methodology for quantifying causality in complex dynamical systems, based on analysis of multidimensional time series data of the state variables.
Hiroko Kato Solvang, Sam Subbey
doaj   +1 more source

Mesoscopic Community Structure of Financial Markets Revealed by Price and Sign Fluctuations. [PDF]

open access: yesPLoS ONE, 2015
The mesoscopic organization of complex systems, from financial markets to the brain, is an intermediate between the microscopic dynamics of individual units (stocks or neurons, in the mentioned cases), and the macroscopic dynamics of the system as a ...
Assaf Almog   +3 more
doaj   +1 more source

Simplicial Multivalued Maps and the Witness Complex for Dynamical Analysis of Time Series [PDF]

open access: yes, 2015
Topology based analysis of time-series data from dynamical systems is powerful: it potentially allows for computer-based proofs of the existence of various classes of regular and chaotic invariant sets for high-dimensional dynamics.
Alexander, Zachary   +3 more
core  

Systematic perturbation approach for a dynamical scaling law in a kinetically constrained spin model

open access: yes, 2010
The dynamical behaviours of a kinetically constrained spin model (Fredrickson-Andersen model) on a Bethe lattice are investigated by a perturbation analysis that provides exact final states above the nonergodic transition point.
Cancrini N   +10 more
core   +1 more source

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