Results 181 to 190 of about 6,298,368 (303)

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Community participation enhanced prenatal mental health through strengthening peers' support and partners' communication in Chinese mothers: A cross-sectional study. [PDF]

PLoS One
An S, Sun S.
europepmc   +1 more source

Light‐Assisted 3D Printing Techniques and Photocrosslinking Strategies: Recent Advances in Musculoskeletal Tissue Engineering

Advanced Engineering Materials, EarlyView.
In this review, the current state of light‐assisted 3D printing as it pertains to engineering musculoskeletal tissues including bone, cartilage, skeletal muscle, tendon, and ligaments is summarized. Common printing techniques, photoreactive materials, and study design choices are compiled and reviewed.
Meagan Morgan, Bin Zhang, Roger Narayan
wiley   +1 more source

Predictors of community participation from preschool to school age in children with cerebral palsy. [PDF]

Dev Med Child Neurol
Testani DA, Shearer H, King G, Munce S, Thorpe KE, Gorter JW, Mangat B, Khimji F, Fehlings D, CP‐NET Group.   +9 more
europepmc   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
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, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Desa SIAGA, a community participation model for maternal and neonatal health in Indonesia, barriers and facilitators to implementation: findings from a comparative case study design. [PDF]

BMC Pregnancy Childbirth
Yulian V, McGowan L, Stacey T.
europepmc   +1 more source

Variable Stiffness Flexure Structures Enabled by Phase‐Change Gallium and Adhesive Interfacial Locking for Soft Robotic Applications

Advanced Engineering Materials, EarlyView.
A flexure‐based variable stiffness structure is developed by integrating phase‐change modulation and adhesive interfacial locking of gallium. The design enables a wide stiffness variability, transitioning from soft, flexible behavior to rigid, load‐supporting performance.
Sungjin Kim, Sohee John Yoon, Yong‐Lae Park   +2 more
wiley   +1 more source

Community participation and contracting between state and non-state actors in primary care: A scoping review of evidence. [PDF]

Int J Equity Health
Khan Z, Haddad F, Rao V, R JJ, Breeze P, Garimella S, London L.   +6 more
europepmc   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Community participation, physical activity, and quality of life for children born very preterm. [PDF]

Dev Med Child Neurol
Cameron KL, Mainzer RM, Olsen JE, Clark RA, Cheong JLY, FitzGerald TL, Spittle AJ.   +6 more
europepmc   +1 more source