Results 171 to 180 of about 19,472,085 (300)

State-aware adaptive multimodal fusion for ultra-short-term solar irradiance forecasting using sky cloud images. [PDF]

PLoS One
Zhao H, Song A, Jin Y, Yu H.
europepmc   +1 more source

From Food to Power: Hydrogel Thermoelectrics for Ingestible Electronics

Advanced Functional Materials, EarlyView.
We introduce a fully edible thermoelectric–electrochromic platform that harvests heat from food and converts it into a visible color change. N‐type and p‐type hydrogel thermoelectric generators connected in series power anthocyanin‐based electrochromic displays, demonstrating the feasibility of safe, biodegradable, ingestible systems for on‐food ...
Antonia Georgopoulou, Bokeon Kwak, Dario Floreano, Esther Amstad   +3 more
wiley   +1 more source

Classifying Automated Driving Systems Using Telematics Data: A Comparative Study of GRU, LSTM, and Transformer Models. [PDF]

Sensors (Basel)
Shrestha B, Acharya B, Papadopoulos C.
europepmc   +1 more source

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

Advanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa, Milan Buttberg, Ke Ran, Rana Walied Ahmad, Dennis Braun, Lukas Völkel, Jimin Lee, Sofía Cruces, Bart Macco, Bárbara Canto, Holger Lerch, Thorsten Wahlbrink, Holger Kalisch, Michael Heuken, Andrei Vescan, Joachim Mayer, Zhenxing Wang, Ilia Valov, Stephan Menzel, Max C. Lemme   +19 more
wiley   +1 more source

Deciphering Spatiotemporal Dynamics of Fermented Grains in the Jiangxiangxing Baijiu Production Process: Insights From a Transformer-Based Deep Learning Model. [PDF]

J Food Sci
Huo Y, Zhang F, Yang G, Wu X, Zhao X, Wu C, Long J, Zhu D, Li X.   +8 more
europepmc   +1 more source

Wearable Smart Patches on Sustainable Chitosan With Reversible Microbial Growth‐Inhibitory Properties

Advanced Functional Materials, EarlyView.
ABSTRACT Chitosan, a polysaccharide upcycled from biowaste, has long promised sustainable, biocompatible, and antimicrobial films and devices, an appeal reinforced by its recent regulatory recognition, with several chitosan‐based antibacterial dressings gaining clearance through the Food and Drug Administration's 510(k) pathway.
Jacopo Nicoletti, Kubra Kocak, Andrea Michel, Enrico Cavarzerani, Ali Raza, Petr Rohzin, Nouha Loudhaief, Saimir Frroku, Nicolò Baldovin, Hazrat Bilal, Alvise Perosa, Maurizio Selva, Flavio Rizzolio, Luca Sbuelz, Sabrina Tamburini, Domenico De Fazio, Giovanni Antonio Salvatore   +16 more
wiley   +1 more source

Plasmonic Field-Enhanced Raman Sensing Enables Rapid Trace Methanol Detection in Transformer Oil. [PDF]

Sensors (Basel)
Zhang X, Zhu H, Liu H, Cao J, Shi H, Niu S.   +5 more
europepmc   +1 more source

Inside the Solid State Transformers

The Solid State Transformer (SST) has been gaining tremendous attention, both in academia and industry, promising extraordinary (often hyped) power conversion performances, well beyond the current state of the art converters. Despite well-evidenced efforts, SST as a technology is still somewhat struggling to gain commercial traction and find its place ...
openaire   +1 more source

Self‐Sintering Ionogel Binder for Flexible, Recyclable, and Healable Printed Giant Magnetoresistive Sensors

Advanced Functional Materials, EarlyView.
ABSTRACT Electronic waste has emerged as a major environmental challenge, driven by the massive consumption and a limited lifetime of modern electronic devices, stimulating the development of sustainable electronics. Here, an all‐biomaterial gelatin‐choline‐citric acid ([Ch][CA]) ionogel is developed as an active binder to realize self‐sintered ...
Lin Guo, Xiaotao Wang, Guannan Mu, Proloy Taran Das, Igor Veremchuk, Conrad Schubert, Aaron D. Cross, Yevhen Zabila, Xuan Peng, Larysa Baraban, Denys Makarov   +10 more
wiley   +1 more source

Predicting influenza in the post-COVID era: assessing LSTM, GRU, and transformer robustness to covariate shift. [PDF]

Front Artif Intell
Din ANA, Woldegerima WA, Wu J.
europepmc   +1 more source