Results 161 to 170 of about 3,393,857 (266)
In this study, exciting new bi‐/multi‐linear elastic behavior of soft elastic composites that accompany the activation of wrinkling in the embedded interfacial layers is analyzed. The new features and performance of these composite materials, including dramatic enhancements in energy storage, can be tailored by the concentration of interfacial layers ...
Narges Kaynia+2 more
wiley +1 more source
Community evolution prediction based on feature change patterns in social networks. [PDF]
Ding J+7 more
europepmc +1 more source
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
StopSpamX: A multi modal fusion approach for spam detection in social networking. [PDF]
Siva Krishna D, Srinivas G.
europepmc +1 more source
Assessing the Ecological Value: Monetizing Process Innovations in Tailored Forming
This article introduces a method for evaluating the sustainability of innovations, even with limited data. The method is illustrated through an analysis of the “Tailored Forming” technology, which explores the impact of sustainability on economic value added.
Jonas Schneider+4 more
wiley +1 more source
eHealth literacy level and its predictors among primary school teachers. [PDF]
Khancolabi M+5 more
europepmc +1 more source
Mechanisms of De‐icing by Surface Rayleigh and Plate Lamb Acoustic Waves
Ice accretion impacts daily life, renewable energy generation, maintenance, and security in industries and aeronautics. Acoustic waves (AW) are a promising method for ice removal, although de‐icing mechanisms require further investigation to optimize energy efficiency.
Shilpi Pandey+15 more
wiley +1 more source
Identifying the human olfactory and chemosignaling neural networks using event related fMRI and graph theory. [PDF]
Ferdowsi S+5 more
europepmc +1 more source
Using novel probe‐based metrics, this study evaluates lattice structures on criteria critical to cellular solid optimization. Triply‐periodic minimal surface (TPMS) lattices outperform other lattices, offering more predictable mechanical behavior in complex design spaces and, as a result, higher performance in optimized models.
Firas Breish+2 more
wiley +1 more source
Social opinions prediction utilizes fusing dynamics equation with LLM-based agents. [PDF]
Yao J+5 more
europepmc +1 more source