Results 221 to 230 of about 188,630 (324)
We demonstrate the direct‐laser patterning of a gold thin film on polymethyl methacrylate to fabricate a temperature sensor for dentures. The temperature sensor‐embedded smart dentures are evaluated in an oral environment, enabling in‐situ monitoring for elderly healthcare.
Han Ku Nam+7 more
wiley +1 more source
A comparison of 1 minimum alveolar concentration desflurane and 1 minimum alveolar concentration isoflurane anesthesia in patients undergoing craniotomy for supratentorial lesions. [PDF]
Yildiz K+5 more
europepmc +1 more source
Multi‐Module Micro/Nanorobots for Biomedical and Environmental Remediation Applications
Multi‐module microrobots (MNRs) have overcome the limitations of single‐module systems by integrating components such as propeller, actuator, manipulator, and imaging modalities. They show promise in biomedical applications, such as targeted drug delivery and tissue repair, as well as in environmental remediation, including pollutant removal.
Bairong Zhu+4 more
wiley +1 more source
Sparing effect of robenacoxib on the minimum alveolar concentration for blunting adrenergic response (MAC-BAR) of sevoflurane in dogs. [PDF]
Tamura J+7 more
europepmc +1 more source
AI‐Driven Microphysiological Systems for Advancing Nanoparticle Therapeutics
This review outlines recent advances in integrating artificial intelligence with microphysiological systems for nanoparticle evaluation. It highlights data‐driven optimization, image‐based prediction, and AI‐enabled analysis frameworks that advance translational research and support the development of personalized nanomedicine. Nanoparticles (NPs) play
Yedam Lee+3 more
wiley +1 more source
This study introduces polyethylene glycol‐functionalized carbon nanotubes (CNTs) to enhance dispersion, interfacial bonding, and 4D printability in polyvinyl chloride‐PCL nanocomposites. The optimized 4D composite (0.5 wt% CNT) achieves a 25% increase in tensile strength, 95.78% shape fixity, and 5‐s recovery time.
Davood Rahmatabadi+6 more
wiley +1 more source
Phase Stability in Rare‐Earth‐Doped Apatites: A Machine Learning Approach
The thermal behavior and phase stability of rare‐earth‐doped apatites are investigated using high‐temperature X‐ray diffraction and thermogravimetric analysis. A machine learning decision tree model predicts decomposition products and stability regimes with ≈86% accuracy.
Geeta Sharma+5 more
wiley +1 more source