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
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
People that Deliver Theory of Change for Building Human Resources for Supply Chain Management: Applications in sub-Saharan Africa and Southeast Asia. [PDF]
Steele P, Frazer HC, Mekonnen G.
europepmc +1 more source
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao +3 more
wiley +1 more source
Uptake, scale up, integration of caccine, immunization, and health supply chain management technologies and innovation into policy: experience from Tanzania. [PDF]
Mollel HA, Mushi LD, Nkwera RV.
europepmc +1 more source
By growing a conformal ZIF‐8 protective layer directly on antibody‐functionalized microneedles, this work converts a fragile biosensing interface into a thermostable diagnostic platform. The MOF@MN patch enables minimally invasive NGAL detection from dermal ISF while supporting cold‐chain‐independent storage and transport for decentralized kidney ...
Yixuan Wang +10 more
wiley +1 more source
Examining the integration of artificial intelligence in supply chain management from Industry 4.0 to 6.0: a systematic literature review. [PDF]
Samuels A.
europepmc +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Role of Supply Chain Management in Clinical Laboratory. [PDF]
Mitra P, Gupta S, Sharma P.
europepmc +1 more source
Comparison of deep and conventional machine learning models for prediction of one supply chain management distribution cost. [PDF]
Yu X, Tang L, Long L, Sina M.
europepmc +1 more source

