Results 181 to 190 of about 99,858 (272)
Local Properties of Soft Semi*-Open Sets
P. Gnanachandra
doaj +1 more source
A novel decision analytic model for environmental sustainability challenges using interval-valued complex spherical fuzzy soft sets. [PDF]
Ali S +6 more
europepmc +1 more source
An original method is presented for producing artificial spider silk fibers with magnetic and magnetomechanical responsiveness, which consists in coating them with a nanometer‐thick layer of FeCo alloy by sputtering deposition. The challenge of combining organic materials and inorganic magnetic nanostructures is addressed, thus taking a step forward ...
Filippo Lanaro +5 more
wiley +1 more source
Strong Form of Soft Semi-Open Sets in Soft Topological Spaces
openaire +2 more sources
Optimizing decision making with Fermatean fuzzy soft Hamachar operators in the analysis of anaphylaxis (a life-threatening allergic reaction). [PDF]
Zeb A +5 more
europepmc +1 more source
ABSTRACT Traditional wearable exoskeletons rely on rigid structures, which limit comfort, flexibility, and everyday usability. This work introduces the fundamental technologies to create the first soft, lightweight, intelligent textile‐based exoskeletons (Texoskeletons) built using 1D sensors and actuators.
Amy Lukomiak +19 more
wiley +1 more source
Image contraction through fuzzy soft outerplanar graph structures. [PDF]
Jaisankar D, Ramalingam S, Zegeye GB.
europepmc +1 more source
The nanostructure, size, and function of mRNA‐loaded lipid nanoparticles are evaluated before drying, within polymer microneedles, and after rehydration. The results reveal the polymer and LNP loadings required to recover nanostructure and preserve the delivery performance in dry‐state formulations.
Brendan P. Dyett +19 more
wiley +1 more source
Assessing the influence of diverse skills on employability outcomes for IT undergraduates. [PDF]
Senadheera D, Wisenthige K.
europepmc +1 more source
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source

