Results 231 to 240 of about 712,671 (325)
Enhancing abdominal wall healing using an oriented polycaprolactone microfibrous scaffold prepared using the fiber drawing method: A rabbit model study. [PDF]
Rampichová MK +10 more
europepmc +1 more source
AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula +10 more
wiley +1 more source
Light-induced selective speed alteration of magnetically rolled semiconductor particles. [PDF]
Rivas DP, Shah ZH, Shum H, Das S.
europepmc +1 more source
Lateral behaviour of light framed walls in domestic structures
Emad Gad, Colin Duffield
openalex +1 more source
A Steerable and Expandable Magnetic Aspiration Catheter for Enhanced Aspiration Thrombectomy
This article presents a novel magnetic aspiration catheter (MAC) that can be both actively steered and undergo distal‐end expansion via externally applied magnetic fields. The MAC facilitates precise branch selection and enhances clot engagement by improving endovascular navigation and aspiration efficiency. Phantom experiments validate its feasibility
Hakjoon Lee +7 more
wiley +1 more source
A wearable fiber-optoacoustic interface for continuous deep-tissue hemodynamics in MRI environments. [PDF]
Hu Z +9 more
europepmc +1 more source
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi +5 more
wiley +1 more source
Automated Motion Tracking of Vaginal Pessaries and Pelvic Floor Structures on Dynamic MRI. [PDF]
Hong CX +5 more
europepmc +1 more source
EMG‐Driven Telemetry and Inference System for Fish: Pose Reconstruction and Flow Sensing
This work introduces an electromyography (EMG)‐driven telemetry framework that reconstructs body pose and infers hydrodynamic conditions in freely swimming fish. A custom 16‐channel archival system records intramuscular EMG, enabling deep‐learning models to decode joint kinematics, classify flow regimes, and reveal channel‐efficient sensing strategies.
Rahdar Hussain Afridi +7 more
wiley +1 more source

