Electrochemistry‐Enabled Optical and Plasmonic Programmable Metasurfaces
Electrochemistry is emerging as a promising approach for engineering optical and plasmonic metasurfaces, from the fabrication of nanoscale structures to their dynamic control. This Perspective reviews electrochemical strategies for creating and tuning metasurfaces, examines current challenges and opportunities, and discusses how integration with ...
Charlène Brissaud, Leonardo Scarabelli
wiley +1 more source
Evolutionary Multiresolution Filtering to Forecast Nonlinear Time Series
Gomez-Ramírez, E. +1 more
doaj +1 more source
An Out-of-Sample Test for Nonlinearity in Financial Time Series: An Empirical Application [PDF]
This paper employs a local information, nearest neighbour forecasting methodology to test for evidence of nonlinearity in financial time series. Evidence from well-known data generating process are provided and compared with returns from the Athens stock
Theodore Panagiotidis
core
Micromachined Double‐Membrane Mechanically Tunable Metamaterial for Thermal Infrared Filtering
Herein, a mechanically tunable double‐layer plasmonic metamaterial leveraging the extraordinary optical transmission effect observed in subwavelength arrays of openings within thin metal layers is presented. The concept is experimentally validated by integrating the proposed metamaterial structure into an electrostatic parallel‐plate actuator to create
Oleg Bannik +7 more
wiley +1 more source
Determinants of Rotavirus Transmission: A Lag Nonlinear Time Series Analysis. [PDF]
van Gaalen RD +4 more
europepmc +1 more source
Forecasting The Exchange Rate Series With Ann: The Case Of Turkey [PDF]
As it is possible to model both linear and nonlinear structures in time series by using Artificial Neural Network (ANN), it is suitable to apply this method to the chaotic series having nonlinear component.
Cagdas Hakan Aladag +2 more
core
From Rigid to Soft Robotic Approaches for Neuroendoscopy
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday +3 more
wiley +1 more source
Uncertainty quantification of the effects of biotic interactions on community dynamics from nonlinear time-series data. [PDF]
Cenci S, Saavedra S.
europepmc +1 more source
Chaotic Time Series Analysis in Economics: Balance and Perspectives [PDF]
To show that a mathematical model exhibits chaotic behaviour does not prove that chaos is also present in the corresponding data. To convincingly show that a system behaves chaotically, chaos has to be identified directly from the data. From an empirical
Marisa Faggini
core

