Firing dynamics and coupling synchronization of memristive EMR-based Chaivlo neuron utilizing equivalent energy approach.

Firing dynamics and its energy property of neuron are crucial for exploring the mechanism of intricate information processing within the nervous system. However, the energy analysis of discrete neuron is significantly lacking in comparison to the vast literature and mature theory available on continuous neuron, thereby necessitating a focused effort in this underexplored realm. In this paper, we introduce a Chaivlo neuron map by employing a flux-controlled memristor to simulate electromagnetic radiation (EMR), and a detailed analysis of its firing dynamics is conducted based on an equivalent Hamiltonian energy approach.

A novel methodology for evaluation of S wide split via estimated parameters.

Background And Objective: Aimed at the shortcomings of using time interval ( [Formula: see text] ) between the sounds produced by the aortic valve closure (A) and the pulmonary valve closure (P) to detect the wide splitting of the second heart sound (S), which are the [Formula: see text] easily influenced by the heartbeat and not easily distinguished from the fixed splitting of S without considering the entire respiratory phase, and from the third heart sound (S), this study proposes a novel methodology to detect the wide splitting of S using an estimated split coefficient of S ( [Formula: see text] ) combined with an adaptive number (N) of S.

Methodology: The methodology is orderly summarized as follows: Stage 1 describes the segmentation-based S automatic location and extraction. A Gaussian mixture model (GMM)-based regression model for S is proposed to estimate the positions of A and P, then an overlapping rate (OLR)-based [Formula: see text] and the [Formula: see text] are estimated, and finally, a N-S is automatically determined to calculate the statistics of [Formula: see text] and [Formula: see text] .

Rapid detection of carbamate pesticide residues using microchip electrophoresis combining amperometric detection.

The long-term consumption of food with pesticide residues has harmful effects on human health and the demand for pesticide detection technology tends to be miniaturized and instant. To this end, we demonstrated the first application of indirectly detecting two carbamate pesticides, metolcarb and carbaryl, by gold nanoparticle-modified indium tin oxide electrode in dual-channel microchip electrophoresis and amperometric detection (ME-AD) system. m-Cresol and α-naphthol were obtained after pesticide hydrolysis in alkaline solution, and then separated and detected by ME-AD.