Results 71 to 80 of about 11,413 (169)

Multimodal Perception and Machine Learning‐Empowered Human Machine Interfaces With Double‐Network Hydrogel Fibers

Advanced Functional Materials, EarlyView.
This work develops polyacrylamide‐alginate (PAM‐Alg) double‐network hydrogel fibers for multimodal perception and intelligent human‐machine interfaces. The covalent‐ionic network provides high strength, toughness, and stable conductivity. Easily woven into wearables and integrated with soft robots, the fibers enable object and temperature recognitions ...
Yujue Yang, Minyu Qiu, Di Tan, Xinlong Liu, Junze Zhang, Ziyu He, Jing Han, Yuanyuan Gao, Zihua Li, Hong Fu, Bingang Xu   +10 more
wiley   +1 more source

Causal Interpretation of DBSCAN Algorithm: A Dynamic Modeling for Epsilon Estimation. [PDF]

Entropy (Basel)
Garcia-Sanchez K, Perez-Ramos JL, Ramirez-Rosales S, Herrera-Navarro AM, Jiménez-Hernández H, Canton-Enriquez D.   +5 more
europepmc   +1 more source

Blood Biomarkers and Surface‐Enhanced Raman Spectroscopy for Gout: A Comprehensive Review

Advanced Functional Materials, EarlyView.
Schematic illustrating gout disease progression from asymptomatic hyperuricemia to chronic tophaceous disease, highlighting the limitations of conventional imaging and biochemical diagnostics and the potential of engineered SERS platforms for ultrasensitive blood‐based detection of urate‐related biomarkers across disease stages, with the color gradient
Isuri Perera, Chiranjeevi Kanike, Appurva Tiwari, Hongyan Wu, Larry D. Unsworth, Ben Bin Xu, Xuehua Zhang   +6 more
wiley   +1 more source

Modelling and metrics for optimal sizing of renewable power plants supplying green hydrogen generation systems. [PDF]

Sci Rep
Naderi M, Stone DA, Ballantyne EEF.
europepmc   +1 more source

Digitizing the Filtration Interface: A Smart, Modular Janus Wood Platform for Self‐Reporting Oil/Water Remediation

Advanced Functional Materials, EarlyView.
This work developed a smart Janus wood membrane integrating asymmetric wettability with built‐in electrical sensing for oil‐water separation. The membrane achieved > 99.5% separation efficiency and high flux by leveraging wood's natural anisotropic pore structure.
Kaiwen Chen, Cheng Hao, Wenjuan Zhao, Haonan Zhang, Yujing Tan, Fengze Sun, Xuewen Han, Hui Peng, Tianyi Zhan, Jianxiong Lyu, Ning Yan   +10 more
wiley   +1 more source

Integral Betti signatures of brain, climate and financial networks compared to hyperbolic, Euclidean and spherical models. [PDF]

Sci Rep
Caputi L, Pidnebesna A, Hlinka J.
europepmc   +1 more source

Powering Nanocrystal‐Based Heat Engines With Light‐Emitting Metasurfaces That Influence Their Temperature

Advanced Functional Materials, EarlyView.
Metasurfaces and other structured photonic environments can dramatically modify the absorption and/or light emission of semiconductors. However, the consequences of these changes on the temperature of the system are not well understood. The authors address this problem for colloidal nanocrystals and leverage their findings to convert light into ...
Hugo Kowalczyk, Yihao Yuan, Augustin Caillas, Amel Saidoun, Roméo Bonnet, Pascal Filloux, Emmanuel Lhuillier, Aloyse Degiron   +7 more
wiley   +1 more source

DeepSense: An Adaptive Scalable Ensemble Framework for Industrial IoT Anomaly Detection. [PDF]

Sensors (Basel)
Firouzi A, Ghorbani AA.
europepmc   +1 more source

Advancing Tandem Organic Solar Cells With Ternary Acceptor Control for High‐Power Modules and Solar‐to‐Ammonia Conversion

Advanced Functional Materials, EarlyView.
Tandem organic solar cells with optimized ternary acceptor engineering achieved a power conversion efficiency of 15.53% and enabled a high‐voltage mini‐module (Voc 6.11 V). Integration into a bias‐free PV‐EC system further demonstrated efficient solar‐to‐ammonia (STA) conversion (97% Faradaic Efficiency, 4± 2% STA efficiency), highlighting scalable ...
Seyeong Song, Ahmad Tayyebi, Meysam Tayebi, Jungwoo Heo, Jiwoo Yeop, Dohun Yuk, Na Gyeong An, Jaewon Lee, Gi‐Hwan Kim, Maria del Carmen Gimenez Lopez, Ji‐Wook Jang, Jin Young Kim   +11 more
wiley   +1 more source

Preliminary Research on the Possibility of Automating the Identification of Pollen Grains in Melissopalynology Using AI, with Particular Emphasis on Computer Image Analysis Methods. [PDF]

Sensors (Basel)
Litwińczyk K, Podralski M, Skorynko P, Malinowska E, Czarnota Z, Bąk B, Janowski A.   +6 more
europepmc   +1 more source