Highly sensitive gold nanostar based optical fiber sensor with tunable plasmonic resonance

In this work, we present a detailed numerical and experimental investigation of highly sensitive optical fiber sensors based on localized surface plasmon resonance (LSPR). These sensors are enhanced by the deposition of nanoparticles (NPs) and nanostars (NSs) onto uncladded silica multi-mode optical fiber. The unique optical properties of NSs - featuring a 40 nm gold core surrounded by silver branches of variable size and shape - allows for precise tuning of the LSPR effect. For comparison, w...

I “tipi” di consumatore tra categorie tradizionali e nuove qualificazioni

Supporting the diffusion of innovative SMEs: the Italian experience

Innovative SMEs are believed to be of fundamental importance for a territorial context’s social and economic development. Countries have adopted many policies to favour the diffusion of innovative SMEs, even if the results often appear contradictory. This study verifies the effectiveness of a specific decree-law encouraging entrepreneurs to open up their businesses to systematic innovations by analysing the financial and economic performances obtained by 617 innovative SMEs in the five-...

Predicting ground-level nitrogen dioxide concentrations using the BaYesian attention-based deep neural network

Nitrogen dioxide pollution is an ongoing and growing environmental issue that affects human health in developed Western countries. This study introduced a Bayesian attention-based deep neural network model for predicting ground-level nitrogen dioxide concentrations. The proposed model integrates the principles of the Bayesian neural network and the attention mechanism, enabling it to produce predicted values and their associated uncertainties, expressed as standard deviations. The proposed mo...