Results 181 to 190 of about 100,579 (268)

Innovations in Nuclear Medicine: From Molecular Imaging to Targeted Intervention [PDF]

open access: bronze
Katharina Lückerath   +2 more
openalex   +1 more source

Edible Cuttlefish Ink: Complex Chemistry, Structure, and Electrical Response

open access: yesAdvanced Engineering Materials, EarlyView.
An integrated approach of chemistry‐structure‐electrical properties is used to assess the potential of edible cuttlefish ink as a bio‐based conductive ink for printable electronics. Chromatography and Neutron Activation Analysis reveal a fascinating molecular and elemental diversity.
Camille Bour‐Cardinal   +5 more
wiley   +1 more source

Regulated Ion‐Diffusion Hydrogels for Subtle and Multimodal Temperature‐Strain Sensing in Wound Monitoring

open access: yesAdvanced Functional Materials, EarlyView.
A soft, dual‐channel hydrogel patch enables simultaneous detection of wound temperature and strain by integrating ion‐diffusion‐mediated thermoelectric and resistive sensing. The conformal design maintains stable performance during motion, capturing subtle inflammatory and mechanical changes for continuous wound monitoring.
Yu Fang   +7 more
wiley   +1 more source

Advances in Sustainable and Wearable Textile Based Soft Robotics

open access: yesAdvanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas   +6 more
wiley   +1 more source

Therapy and Nuclear Medicine

open access: yesJournal of the Royal College of Physicians of London, 1998
openaire   +2 more sources

Implantable Ionic Memristors Based on Natural Polymer Heterojunctions

open access: yesAdvanced Functional Materials, EarlyView.
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee   +6 more
wiley   +1 more source

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