Results 91 to 100 of about 60,740 (266)

Measurement configuration for integrated electric–gas systems via observability analysis considering gas flow dynamics

IET Energy Systems Integration
State estimation plays an important role in the monitoring and control of integrated electric–gas systems (IEGSs), but it faces limitations due to insufficient measurement configurations and low data redundancy in these systems; additional measurement ...
Zeming Chen, Zhigang Li, Huajian Li, Jiahui Zhang, Yixuan Li, Jiehui Zheng   +5 more
doaj   +1 more source

Lonicera japonica‐Derived Nanovesicles Ameliorate Acute Lung Injury by Suppressing Neutrophil Extracellular Traps Formation in Mice

Advanced Healthcare Materials, EarlyView.
(A) Isolation and purification of LDNVs. (B) Establishment of the ALI model and LDNVs delivery. (C) Therapeutic mechanisms of LDNVs in treating ALI. This scheme figure was drawn by Figdraw, ID: IUIIO21222. ABSTRACT Acute lung injury (ALI) is a lethal respiratory disease.
Xi Lin, Jian Lin, Yezi Zhang, Xinyan Zhang, Xinghua Liu, Hongying Cao, Huan Shen, Jianming Liang, Zhenhua Dai, Siyuan Xu, Xingdong Lin   +10 more
wiley   +1 more source

Quantifying spectral information and redundancy in high-dimensional personality taxonomies: an entropy-based approach

Frontiers in Psychology
BackgroundPersonality assessment involves the collection and organization of information into multidimensional taxonomies. However, no routinely used index directly quantifies the amount of information encoded in such taxonomies. Effective dimensionality
Fernando Gutiérrez, Fernando Gutiérrez, Anton Aluja, José Ruiz-Rodríguez, José Ruiz-Rodríguez, Luis F. García, Luis F. García, Eva Baillès, Natalia Calvo, Natalia Calvo, Claudia Rodríguez, Miguel Gárriz   +11 more
doaj   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Enhancing Reliability in Redundant Homogeneous Sensor Arrays with Self-X and Multidimensional Mapping

Sensors
Mechanical defects and sensor failures can substantially undermine the reliability of low-cost sensors, especially in applications where measurement inaccuracies or malfunctions may lead to critical outcomes, including system control disruptions ...
Elena Gerken, Andreas König
doaj   +1 more source

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Large‐Scale Determination of Frontier Orbital Energies of Disordered Small‐Molecule Organic Semiconductors Using Exciplex Emission Spectra

Advanced Materials, EarlyView.
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald, Hiroki Tomita, Giacomo Cotelli, Louka L. Brüll, Nanno G. de Rooij, Lucas R.L. Norg, Milo Clément, Reinder Coehoorn   +7 more
wiley   +1 more source

Enhancing Quantum Information Distribution Through Noisy Channels Using Quantum Communication Architectures

Information
Quantum information transmission is subject to imperfections in communication processes and systems. These phenomena alter the original content due to decoherence and noise.
Francisco Delgado
doaj   +1 more source