Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani+2 more
wiley +1 more source
Implant surface selection in primary cosmetic breast augmentation: A national cross-sectional study of UK plastic surgeons. [PDF]
Jordan C, Sosnowski K, Shah R, Malata C.
europepmc +1 more source
A Case‐Based Reasoning Approach to Model Manufacturing Constraints for Impact Extrusion
A hybrid modeling approach is presented that combines constraint‐based process modeling and case‐based reasoning. The model formalizes manufacturing constraints and integrates simulation data to model complex manufacturing processes. The approach supports manufacturability analysis during product design through an adaptive modeling environment.
Kevin Herrmann+5 more
wiley +1 more source
The Effect of Brand Trust of Home Meal Replacement on Repurchasing in Online Shopping
Seong Soo, Bo-Kyung Seo
openalex +1 more source
From Comparison to Confidence: The Dove Self-Esteem Project and the Transformation of Beauty Perceptions on Social Media. [PDF]
Kim J, Kim M.
europepmc +1 more source
This study investigates the bond quality of co‐extruded aluminum–titanium hybrid profiles, focusing on the lateral angular co‐extrusion (LACE) process. It examines how heat treatments (HT) affect intermetallic phase formation, bond strength, and material properties.
Norman Mohnfeld+9 more
wiley +1 more source
Tobacco product litter as a form of postconsumption marketing: an observational study in India. [PDF]
Grilo G+6 more
europepmc +1 more source
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi+4 more
wiley +1 more source
PENGARUH CAUSE RELATED MARKETING DAN BRAND IMAGE TERHADAP BRAND TRUST PADA BIRO TRAVEL ONLINE
Surra Man Ra Ani
openalex +2 more sources
Transforming PrEP marketing: understanding the place of PrEP in the hearts and minds of adolescent girls and young women in sub-Saharan Africa. [PDF]
Donaldson EL+5 more
europepmc +1 more source