Results 191 to 200 of about 9,872 (264)
This study investigates the M13 bacteriophage as a biomimetic nanovector capable of crossing in vitro models of the blood–brain barrier. By exploiting peculiar transcellular pathways, M13 avoids lysosomal degradation and preserves its structural integrity and functionality.
Silvia Vercellino +12 more
wiley +1 more source
TRUST: A toolkit for TEE-assisted secure outsourced computation over integers. [PDF]
Zhao B +5 more
europepmc +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
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 +12 more
wiley +1 more source
Rapid Fabrication of Self‐Propelled and Steerable Magnetic Microcatheters for Precision Medicine
A rapid Joule heating fabrication method for the production of self‐propelling, adaptive microcatheters, with tunable stiffness and integrated microfluidic channels is presented. Demonstrated through three microrobotic designs, including a steerable guiding catheter, an untethered wave‐crawling TubeBot, and a distal‐end propelled microcatheter, it was ...
Zhi Chen +5 more
wiley +1 more source
Cross-range self-attention single hyperspectral image super-resolution method based on U-Net architecture. [PDF]
Wang H +5 more
europepmc +1 more source
Quantifying medical device cybersecurity risk with CVSS BTE. [PDF]
Bracciale L +5 more
europepmc +1 more source
Unpacking the emotional drive: a grounded theory model of online collective action in social media. [PDF]
Li S +5 more
europepmc +1 more source
A Novel Framework for Enhancing Decision-Making in Autonomous Cyber Defense Through Graph Embedding. [PDF]
Wang Z, Wang Y, Xiong X, Ren Q, Huang J.
europepmc +1 more source
Urban theft prediction via LLM-empowered spatiotemporal transformer. [PDF]
Tang M, Wang J, Bu X, Zhang J, Luo P.
europepmc +1 more source

