Results 201 to 210 of about 32,804 (295)
AI-based virtual try-on technology and the activation of green psychological mechanisms: evidence from a digital consumer environment. [PDF]
Bai J, Liang J, Gao Y, Feng X.
europepmc +1 more source
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed‐methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah +4 more
wiley +1 more source
Gendered dimensions of sustainable land management: Evidences from farm size and training effects on willingness to pay in Ghana's Volta Region. [PDF]
Fiagborlo JD, Nyatuame M, Ntoko SA.
europepmc +1 more source
Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
wiley +1 more source
An analysis of sustainability and performance indicators in Eco-Conscious trainers' brands. [PDF]
Romero MJM +3 more
europepmc +1 more source
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Co-developing a survey on public understanding of sustainable clinical research: A study protocol. [PDF]
Keegan D, O'Neill L, Doran P.
europepmc +1 more source
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora +4 more
wiley +1 more source
Mushroom biotech startups help address global challenges. [PDF]
Lurie-Luke E.
europepmc +1 more source

