Results 171 to 180 of about 32,845 (311)

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Co1/Ru Single‐Atom Alloy Catalyst for Sustainable Polypropylene Hydrogenolysis to Long‐Chain Liquid Products

Advanced Materials, EarlyView.
A titania‐supported Co1/Ru single‐atom alloy catalyst enables efficient polypropylene hydrogenolysis. Ru─Co─Ru motifs maintain Ru activity while suppressing excessive chain scission to gaseous products. Both virgin and waste plastics achieve high, environmentally and economically optimal C11+ liquid yields, supporting sustainable chemical recycling ...
Yuzhen Ge, Yimeng Jin, Alexandra Krestnikova, Sibei Zou, Antonio J. Martín, Gonzalo Guillén‐Gosálbez, Javier Pérez‐Ramírez   +6 more
wiley   +1 more source

Ventricular Tachycardia Due to Intracardiac Metastases: Multimodality Imaging and Management Considerations. [PDF]

JACC Case Rep
Chan TH, Leung HL, Cheng CN, Yam CW, Wong KH, Lam CS, Wong CW.   +6 more
europepmc   +1 more source

A Unified Polymer Hydrogel Electrolyte Integrating Robust Adhesion, Self‐Healing, and Oxygen Permeability in Flexible Neutral Zn‐Air Batteries

Advanced Materials, EarlyView.
Flexible neutral Zn‐air batteries achieving a remarkable 3000‐cycle lifespan and withstanding 1000 bending cycles are reported. This performance is realized by employing a 3D physically cross‐linked neutral hydrogel electrolyte that integrates high adhesion, self‐healing, O2 permeability, and CO2 tolerance to resolve critical stability challenges ...
Zhenyu Sun, Kaiming Liao, Wei Zhou, Zongping Shao   +3 more
wiley   +1 more source

An uncommon complication in an uncommon location: multimodality imaging to characterize LV pseudoaneurysm. [PDF]

Eur Heart J Case Rep
Amador R, Farinha M, Oliveira L, Brízido C.   +3 more
europepmc   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Interconnected Biatrial Myxoma Spanning the Fossa Ovalis: Management Based on Multimodality Imaging. [PDF]

JACC Case Rep
Herrera JCU, Madogolele HDCN, Nastari RR, Dias RR, Reyes Barrenechea MW, Fernandes F, Hotta VT.   +6 more
europepmc   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

Multimodality imaging in hypertrophic cardiomyopathy. [PDF]

J Cardiovasc Imaging
Kim J, Lee SC.
europepmc   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source