Results 91 to 100 of about 2,854,398 (286)

In Situ Interfacial Assembly of Dynamic Semi‐Interpenetrating Biopolymer Networks for Robust and Mechanically Adaptive Droplet Interfaces

Advanced Functional Materials, EarlyView.
A dynamic interfacial semi‐interpenetrating polymer network is constructed by sequential assembly of β‐sheet‐rich SF and CS‐RL. The SF framework provides mechanical strength, while dynamically associated CS‐RL enables local rearrangement, allowing droplets to rapidly reconfigure without loss of interfacial integrity.
Yaping Zhang, Yujie Liu, Yikai Xu, Xunda Feng, Ling Zhang, Hongbo Zeng, Hao Liu, Xiaohui Mao   +7 more
wiley   +1 more source

Linear regression analyses predicting change in non-symbolic and symbolic ordering from Grade 2–3 by processing speed, working memory storage and manipulation, non-symbolic and symbolic comparison, as well as counting.

, 2021
Linear regression analyses predicting change in non-symbolic and symbolic ordering from Grade 2–3 by processing speed, working memory storage and manipulation, non-symbolic and symbolic comparison, as well as counting.
Karin Landerl (3713956), Silke M. Göbel (7255295), Chiara Banfi (4233403), H. Harald Freudenthaler (11592363), Sabrina Finke (11592360), Anna F. Steiner (11592366), Stephan E. Vogel (11188101)   +6 more
core   +1 more source

Forecasting Selected Commodities’ Prices with the Bayesian Symbolic Regression

International Journal of Financial Studies
This study firstly applied a Bayesian symbolic regression (BSR) to the forecasting of numerous commodities’ prices (spot-based ones). Moreover, some features and an initial specification of the parameters of the BSR were analysed.
Krzysztof Drachal, Michał Pawłowski
doaj   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source

Data-Driven Approach for Left Ventricular Volume Estimation using Intracardiac Admittance

Current Directions in Biomedical Engineering
Accurate estimation of left ventricular volume (LVV) is essential for managing cardiovascular diseases such as heart failure and myocardial infarction. A promising approach for continuous LVV estimation is using intracardiac admittance measurements.
Voss Daniel, Leonhardt Steffen, Walter Marian   +2 more
doaj   +1 more source

La mimesi della regressione alla prova dell’ordine simbolico: una pratica artistica regressiva

Itinera, 2013
The mimesis of regression is an artistic strategy that challenges the symbolic order. This challenge has some controversial points, since on the one hand the symbolic order proves to be extremely resistant as it manages to integrate the mimesis of ...
Matteo Meneghini
doaj   +1 more source

Inverse Design of Nanoparticulate Materials

Advanced Materials, EarlyView.
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré, Annika Mauch, Michelle Berthold, Lukas Pflug, Wolfgang Peukert, Nicolas Vogel   +5 more
wiley   +1 more source

Life‐Like Ferrous Oxide Microspheres from Kombucha

Advanced Materials Interfaces, EarlyView.
Kombucha bacterial cellulose, sodium alginate, and ferrous nitrate self‐assemble into membrane‐enclosed iron oxide microspheres. These microspheres bud daughter vesicles, sustain 24‐h electrochemical oscillations, and filter theta‐band signals.
Panagiotis Mougkogiannis, Anna Nikolaidou, Andrew Adamatzky   +2 more
wiley   +1 more source

Symbolic Regression and Coevolution

, 2011
Symbolic regression is the problem of identifying the mathematic description of a hidden system from experimental data. Symbolic regression is closely related to general machine learning. This work deals with symbolic regression and its solution based on
Drahošová, Michaela
core