Results 131 to 140 of about 21,055,376 (292)

3D‐Printed Gradient Shape‐Memory Strain Sensors With Rewritable Gauge Factors

Advanced Functional Materials, EarlyView.
A 3D‐printed shape‐memory strain sensor combines thermomechanical programming with gradient architectural design. Preset strain rewrites the gauge factor (GF), while the gradient geometry amplifies the response through strain redistribution. Reprogrammable sensitivity enables the same sensor to detect weak pulse signals and monitor large‐amplitude ...
Xuan Zhang, Wenjie Qiao, Kaixin Jiang, Sherry Chen, Hanyu Cui, Kirsten Dyer, Xuefeng Zhu, Ting Wang, Xuehua Zhang, Ben Bin Xu, Jie Kong   +10 more
wiley   +1 more source

Spiking neural networks for predictive and explainable modelling of multimodal streaming data with a case study on financial time series and online news. [PDF]

Sci Rep, 2023
AbouHassan I, Kasabov NK, Jagtap V, Kulkarni P.   +3 more
europepmc   +1 more source

Guanosine‐Quadruplex Hydrogels as Dynamic, Mechanically Tunable and Ion Conductive 3D Scaffolds for Cell Culture Applications

Advanced Functional Materials, EarlyView.
Versatile guanosine‐quadruplex (GQ) hydrogels are developed as dynamic biomatrices for cell culture. These scaffolds are fabricated under mild aqueous conditions, present improved stability, tunable mechanical properties within physiological ranges; fibrillar, porous microstructure, ion conductivity, and cytocompatibility.
Neha Thakur, Minye Jin, Pavel Milkin, Deepa Negi, Carla Cofiño Fabres, Hubert Gojzewski, Leonid Ionov, Alla Synytska, Andries van der Meer, Robert Passier, Julieta I. Paez   +10 more
wiley   +1 more source

Testing of Nonstationary Cycles in Financial Time Series Data [PDF]

In this article we propose a new method for testing nonstationary cycles in financial time series data. In particular, we use a procedure due to Robinson (1994) that permits us to test unit root cycles in raw time series.
Luis A. Gil-Alana, Javier De Peña
core  

A convolutional neural network based approach to financial time series prediction. [PDF]

Neural Comput Appl, 2022
Durairaj DM, Mohan BHK.
europepmc   +1 more source

Oxygen Evolution Electrocatalysts with Trinuclear, Mixed‐Valence Iron Motifs on Electronically Aligned Carbon Dots

Advanced Functional Materials, EarlyView.
Trinuclear iron oxo‐bridged catalytic ensembles stabilized by aspartic‐acid‐derived carbon dots provide an effective platform for alkaline oxygen evolution. Mixed‐valence charge balancing, inner‐sphere charge transport, and work‐function alignment within the N/O‐rich carbon framework promote cooperative Fe‐site chemistry and efficient OER ...
Megha A. Deshmukh, Giorgio Zoppellaro, Emiliano Fonda, Lukáš Zdražil, Shounik Paul, David Panáček, Hanuman Thorat, Zdeněk Badura, Michele Melchionna, Manuela Bevilacqua, Paolo Fornasiero, Klaus Müllen, Radek Zbořil, Aristides Bakandritsos   +13 more
wiley   +1 more source

Influence of Transfer Entropy in the Short-Term Prediction of Financial Time Series Using an ∊-Machine. [PDF]

Entropy (Basel), 2022
Zavala-Díaz JC, Pérez-Ortega J, Almanza-Ortega NN, Pazos-Rangel R, Rodríguez-Lelís JM.   +4 more
europepmc   +1 more source

Time Series Foundation Models for Multivariate Financial Time Series Forecasting

66 ...
openaire   +3 more sources

APTES‐Mediated Ti‐Squarate MOF/n‐GaN Nanowire Photoanodes for Efficient Photoelectrochemical Water Splitting

Advanced Functional Materials, EarlyView.
The APTES linker establishes a permanent interfacial dipole, reducing the work function of n‐GaN from 3.55 to 3.29 eV. This strengthens the built‐in electric field, significantly accelerating hole extraction to drive the oxygen evolution reaction (OER). Ultimately, this tailored charge‐separation architecture achieves a remarkable 4.78‐fold enhancement
Jeong‐Kyun Oh, Sergio Carrasco, Sooyeon Ra, Seok‐Ho Seo, Chandran Bagavath, Sung‐Un Kim, Min‐Seok Lee, Jong‐Su Kim, Miriam Vos‐Gracia, Dan Na, Kyung‐Hwan Jin, Sangmin An, Dong Ick Son, Cheul‐Ro Lee, Patricia Horcajada, Yong‐Ho Ra   +15 more
wiley   +1 more source

Financial time series forecasting using optimized multistage wavelet regression approach. [PDF]

Int J Inf Technol, 2022
Syamala Rao P, Parthasaradhi Varma G, Durga Prasad C.   +2 more
europepmc   +1 more source