Estimation of trapezoidal-shaped overlapping nuclear pulse parameters based on a deep learning CNN-LSTM model.

The Long Short-Term Memory neural network (LSTM) has excellent learning ability for the time series of the nuclear pulse signal. It can accurately estimate the parameters (such as amplitude, time constant, etc.) of the digitally shaped nuclear pulse signal (especially the overlapping pulse signal).

An essential role of acetyl coenzyme A in the catalytic cycle of insect arylalkylamine N-acetyltransferase.

Acetyl coenzyme A (Ac-CoA)-dependent N-acetylation is performed by arylalkylamine N-acetyltransferase (AANAT) and is important in many biofunctions. AANAT catalyzes N-acetylation through an ordered sequential mechanism in which cofactor (Ac-CoA) binds first, with substrate binding afterward. No ternary structure containing AANAT, cofactor, and substrate was determined, meaning the details of substrate binding and product release remain unclear.

Rising time restoration for nuclear pulse using a mathematic model.

The rising time of a nuclear pulse is slowed before being digitized because of the effect of distributed capacitance and resistance. This results in the waveform distortion of a shaped pulse. In this study, the effect of distributed capacitance and resistance is equivalent to the result of RC network.

[Decomposition of X-Ray Fluorescence Overlapping Peaks Based on Statistical and Genetic Algorithms].

In fluorescence analysis, the phenomenon of overlapping often occurs among adjacent peaks. In the view of the random physical properties of formation process of X fluorescence spectra, Gaussian Mixture Statistics Model (GMSM) and Genetic Algorithms were used for the decomposition of overlapping peaks. First, the GMSM was proposed to describe the overlapping peaks, and the local convergence problem of expectation maximization (EM) was analyzed.