Results 201 to 210 of about 549,628 (266)

Functionalizing Micro‐to‐Mesoscopic Electrode Architectures for Regulating Electron Transfer Behaviors in Electrocatalysis

open access: yesAdvanced Functional Materials, EarlyView.
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao   +6 more
wiley   +1 more source

Deep Learning and Cardiovascular Diseases: An Updated Narrative Review. [PDF]

open access: yesJ Clin Med
Myśliwiec A   +4 more
europepmc   +1 more source

Noise‐Limited Bit Precision in Ferroelectric Synaptic Transistors for High‐Resolution Neuromorphic Computing

open access: yesAdvanced Functional Materials, EarlyView.
Low‐frequency noise spectroscopy defines the resolvable conductance states of synaptic FeFETs by coupling read‐current fluctuation with usable dynamic range. The resulting noise‐limited bit precision establishes a universal, device‐agnostic reliability metric beyond the memory window, enabling quantitative benchmarking and rational design of high ...
Jaehong Park   +12 more
wiley   +1 more source

A Robust Deep Learning Approach for COPD Automated Detection. [PDF]

open access: yesSensors (Basel)
Xu S   +5 more
europepmc   +1 more source

Wearable Kirigami‐Apertured Capacitive Sensors for Continuous Cardiac Volumetric Monitoring

open access: yesAdvanced Functional Materials, EarlyView.
A wearable kirigami‐apertured carbon nanotube‐paper composite (K‐CPC) capacitive sensor enables cardiac volumetric monitoring. The kirigami process creates a central aperture with cantilevered fibers that confine the electric field, enhancing both sensitivity and lateral resolution.
Yu‐Jen Cheng   +4 more
wiley   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

open access: yesAdvanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei   +9 more
wiley   +1 more source

A deep learning-based automated Solar-Powered Fish Monitoring System. [PDF]

open access: yesPLoS One
Ahene E   +7 more
europepmc   +1 more source

A Fully Defined GelMA‐Based Matrix Allows Fine Tuning of Tissue‐Relevant Biomechanical and Biochemical Cues for Organoid Culture

open access: yesAdvanced Healthcare Materials, EarlyView.
A fully defined GelMA‐based ECM platform integrates tunable tissue‐relevant stiffness with laminin–entactin biochemical supplementation to support mouse small intestinal organoid growth. Coordinated control of mechanical and biochemical cues promotes robust proliferation, budding morphogenesis, differentiation, and passaging, providing a reproducible ...
Junyi Liu   +3 more
wiley   +1 more source

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