Results 221 to 230 of about 1,083,686 (347)
Retracted: Network Security Technology of Supply Chain Management Based on Internet of Things and Big Data. [PDF]
Intelligence And Neuroscience C.
europepmc +1 more source
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 based solution for secure information sharing in pharma supply chain management. [PDF]
Padma A, Ramaiah M.
europepmc +1 more source
Blockchain as the "trust-building machine" for supply chain management. [PDF]
Yavaprabhas K, Pournader M, Seuring S.
europepmc +1 more source
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
Retraction notice to "Supplier selection in green supply chain management using correlation-based TOPSIS in a q-rung orthopair fuzzy soft environment" [Heliyon 10 (2024) e32145]. [PDF]
Zulqarnain RM +5 more
europepmc +1 more source
Photo‐Switching Thermal and Lithium‐Ion Conductivity in Azobenzene Polymers
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
Investigation of green supply chain management practices and sustainability in Indian manufacturing enterprises using a structural equation modelling approach. [PDF]
Gupta P +5 more
europepmc +1 more source
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

