Herein, non-linear prediction methods are applied to oesophageal voice analysis. The research aims to investigate normal and pathological subjects, in order to improve knowledge of the oesophageal voice behaviour. Analysis is performed in the reconstructed phase space, using both non-linear prediction with local linear approximation and the S-Map method. Preliminary results seem to confirm that in normal subjects a non-linear stable deterministic behaviour takes place, while in pathological subjects the non-linear contribution reduces while the time series becomes unstable.
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http://dx.doi.org/10.1016/s1350-4533(02)00063-2 | DOI Listing |
J Psychosom Res
December 2024
The Second Clinical Medical College, Jinan University, Shenzhen 518020, China; Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen 518020, China; School of Medicine, Southern University of Science and Technology, Shenzhen 518055, China. Electronic address:
Objectives: To characterize individuals with a diminished salivary cortisol response to mental stress, assess its association with all-cause mortality, and quantify the mediating effects of the most relevant and modifiable factors to identify potential target for prevention.
Methods: Data from MIDUS II study with a 16-year follow-up, were used to categorize 1129 participants as responders or non-responders based on the existence of increase in salivary cortisol under mental stress. LASSO-logistics analysis identified the most relevant factors.
Comput Biol Med
January 2025
Health Innovation and Transformation Centre, Federation University, Victoria, 3842, Australia; BioThink, Queensland, 4020, Australia.
Reconstruction of Gene Regulatory Networks (GRNs) is essential for understanding gene interactions, their impact on cellular processes, and manifestation of diseases, including drug discovery. Among various mathematical and dynamic models used for GRN reconstruction, S-system model, comprising non-linear differential equations, is widely utilised to capture the behaviour of complex biological systems with non-linear and time-dependent interactions. However, as the network size increases, computational demand for network inference grows due to a greater number of estimation parameters, significantly impacting the performance of optimisation algorithms.
View Article and Find Full Text PDFBackground: Despite significant advancements in the development of blood biomarkers for AD, challenges persist due to the complex interplay of genetic and environmental risk factors in AD pathogenesis. Epigenetic processes, including non-coding RNAs and especially microRNAs (miRs), have emerged as important players in the molecular mechanisms underlying neurodegenerative diseases. MiRs have the ability to fine-tune gene expression and proteostasis, and microRNAome profiling in liquid biopsies is gaining increasing interest since changes in miR levels can indicate the presence of multiple pathologies.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
The Jackson Laboratory, Bar Harbor, ME, USA.
Background: The genetic etiology of late-onset Alzheimer's disease (LOAD) is complex, with over 75 identified loci contributing to disease risk. Recent efforts of the MODEL-AD consortia have yielded several dozen mouse strains harboring variation designed to model LOAD risk alleles. Given the complex genetic architecture of LOAD, developing animal models that combine multiple risk alleles is likely essential to improving the fidelity of these models to human disease.
View Article and Find Full Text PDFBackground: Biomarker cutpoints have received significant importance in AD research. Reliable worsening method based on serial biomarker data has been proposed (Jack et al., 2017 Alz & Dem).
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