Results 161 to 170 of about 52,100 (306)

Enhanced Infection Resistance and Regenerative Healing of Titanium Implants via Peptide‐Loaded Biodegradable Coatings

open access: yesAdvanced Materials Technologies, EarlyView.
This study presents a new biodegradable coating for titanium implants using a natural antimicrobial peptide, caerin 1.9. Applied via solvent casting, the coating offers sustained antibacterial protection and promotes healing. Tested on 3D‐printed porous titanium scaffolds, it effectively prevented infection—including against resistant bacteria—while ...
Hejie Li   +7 more
wiley   +1 more source

Characterization and Design Framework for Micro‐ and Nanoscale Printed Metal Interconnects in Hybrid Electronic Systems

open access: yesAdvanced Materials Technologies, EarlyView.
This work establishes a framework for high‐resolution printed interconnects by coupling e‐jet printing control, multilayer deposition, and sintering optimization. Ink properties and printing speed influence particle stacking, while different sintering atmospheres drive distinct microstructural evolution.
Kaifan Yue   +6 more
wiley   +1 more source

TinBiNN: Tiny Binarized Neural Network Overlay in about 5,000 4-LUTs and 5mW [PDF]

open access: green, 2019
Guy Lemieux   +8 more
openalex   +1 more source

Non‐Invasive Multidimensional Capacitive Sensing for In Vivo Traumatic Brain Injury Monitoring

open access: yesAdvanced Materials Technologies, EarlyView.
Single‐electrode, multidimensional capacitive sensors noninvasively assess cerebral autoregulation and compliance for traumatic brain injury monitoring. ABSTRACT Traumatic brain injury (TBI) is a major cause of death and disability, but invasive intracranial pressure (ICP) monitoring is risky, and current non‐invasive methods lack the resolution and ...
Shawn Kim   +8 more
wiley   +1 more source

Goal-oriented hierarchical reinforcement learning-based overlay multicast routing method with SDN integration

open access: yesTongxin xuebao
Traditional overlay multicast lacks effective awareness of underlying network states and adaptability to dynamic network conditions. Meanwhile, existing reinforcement learning–based routing methods often suffer from unstable learning and slow convergence
Ye Miao   +6 more
doaj  

Home - About - Disclaimer - Privacy