Results 221 to 230 of about 1,083,686 (347)

Oral Dosed Organo‐Silica Nanoparticles Restore Glucose Homeostasis and β‐Cell Function in Diabetes Rats

open access: yesAdvanced Functional Materials, EarlyView.
An oral nanoplatform, MOP@T@D, which can maintain glucose homeostasis and restore islet β cells in diabetic rats is developed. It achieves efficient intestinal absorption and liver‐targeted delivery. The nanoparticle disintegrates only in response to hyperglycemia to release insulin on demand and provides antioxidant protection through selenoprotein ...
Chenxiao Chu   +14 more
wiley   +1 more source

Blockchain as the "trust-building machine" for supply chain management. [PDF]

open access: yesAnn Oper Res, 2022
Yavaprabhas K, Pournader M, Seuring S.
europepmc   +1 more source

Effective Sliding Motions of Vibration‐Induced Emission Stoppers in Mechanically Interlocked Molecules as Artificial Muscle Tougheners and In Situ Molecular Shuttling Sensors for Self‐Healable Mechano‐Fluorescent Polyurethane Organogels

open access: yesAdvanced Functional Materials, EarlyView.
The self‐healable ratiometric mechano‐fluorescent polyurethane (PU) organogel is constructed by incorporating a minor amount (ca. 1.5 wt.%) of the unconventional daisy chain rotaxane (as an artificial molecular muscle toughener) with specific sliding motions and ratiometric emission behaviors into the PU skeleton, which reveals the progressed intrinsic
Tu Thi Kim Cuc   +7 more
wiley   +1 more source

Photo‐Switching Thermal and Lithium‐Ion Conductivity in Azobenzene Polymers

open access: yesAdvanced Functional Materials, EarlyView.
Light‐responsive azobenzene polymers control thermal and ionic transport simultaneously through structural transitions. UV illumination disrupts π–π stacking, converting crystalline trans states to amorphous cis configurations. Thermal conductivity drops from 0.45 to 0.15 W·m−1·K−1 while Li+ diffusivity increases 100 fold. This dual transport switching
Jaeuk Sung   +7 more
wiley   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee   +17 more
wiley   +1 more source

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