In recent years, the analysis of signal properties (especially biomedical signals) has become an important research direction. One interesting feature of signals is their potential to be chaotic. This article concerns the issues of classification of real signals or synthetic ones in the context of detecting chaotic properties. In previous works, datasets of synthetic signals were created based on well-known chaotic and non-chaotic dynamical systems. They were published and used to train classifiers. This paper extends the previous studies and proposes a method for obtaining/extracting signals to force classifiers to learn to detect chaos. The proposed method allows the generation of groups of signals with similar initial conditions. The property of chaotic dynamical systems was used here, which consists of the strong dependence of the signal courses on a small change in the initial conditions. This method is based on reconstructing multidimensional phase space and data clustering. An additional goal of the work is to create referential datasets with so-called refined signals using the described method and to make them publicly available. The usefulness of the new datasets was confirmed during a simple experiment with the usage of the LSTM neural network.
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http://dx.doi.org/10.3390/s25030796 | DOI Listing |
Food Res Int
April 2025
College of Food Science, Shenyang Agricultural University, Shenyang, Liaoning 110866, PR China. Electronic address:
This study investigated the gelling properties and thermal resistance of a composite system comprising myofibrillar protein (MP) and konjac glucomannan (KG). The interactions between the two components at critical phase transition temperatures (44 °C and 55 °C) were analyzed using rheology, thermodynamics, dynamic light scattering, spectroscopy, and microscopic imaging. The results revealed the dynamic evolutions in aggregation, cross-linking, and protein conformation.
View Article and Find Full Text PDFFood Res Int
April 2025
School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, China. Electronic address:
1,3-diacylglycerol (DAG) is a natural lipid and known as functional oil. Here, we evaluated the potential of different natural deep eutectic solvents (NADESs) in synthesis of 1,3-DAG through Candida antarctica lipase B (CALB)-catalyzed esterification. Interestingly, we found that the 1,3-DAG content could be increased by 19.
View Article and Find Full Text PDFInt Psychogeriatr
March 2025
School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, USA; Department of Psychiatry, University of Texas Southwestern Medical School, Dallas, TX, USA.
Objectives: Subjective cognitive complaints (SCC) are common and clinically relevant in mild cognitive impairment (MCI) but are intertwined with mood states. Using Ecological Momentary Assessment (EMA) of SCC and network analyses we sought to uncover the links between mood and SCC and how these links may vary by the presence or absence of MCI.
Design: We used EMA to collect intensive longitudinal data.
eNeuro
March 2025
Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover NH 03755 United States.
Delayed motor development is an early clinical sign of Fetal Alcohol Spectrum Disorders (FASD). However, changes at the neural circuit level that underlie early motor differences are underexplored. The striatum, the principal input nucleus of the basal ganglia, plays an important role in motor learning in adult animals, and the maturation of the striatal circuit has been associated with the development of early motor behaviors.
View Article and Find Full Text PDFJ Neurosci
March 2025
School of Psychology, University of Leeds, LS2 9JT.
The motor system adapts its output in response to experienced errors to maintain effective movement in a dynamic environment. This learning is thought to utilize sensory prediction errors, the discrepancy between predicted and observed sensory feedback, to update internal models that map motor outputs to sensory states. However, it remains unclear sensory information is relevant (e.
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