ECG Approximate Entropy in the Elderly during Cycling Exercise. [PDF]
Liou JW +5 more
europepmc +1 more source
Accelerating the Computation of Entropy Measures by Exploiting Vectors with Dissimilarity
In the diagnosis of neurological diseases and assessment of brain function, entropy measures for quantifying electroencephalogram (EEG) signals are attracting ever-increasing attention worldwide.
Yun Lu +3 more
doaj +1 more source
Membrane composition and thermodynamic identity as boundaries of life for synthetic cell research
What makes a cell a cell? The boundary of a living cell is not just a wall. Read as a Markov blanket, the membrane separates internal from external states, generating identity and non‐equilibrium order. Can this identity be rebuilt from scratch in a synthetic cell?
Caterina Presutti, Bert Poolman
wiley +1 more source
Approximate tensorization of entropy at high temperature [PDF]
We show that for weakly dependent random variables the relative entropy functional satisfies an approximate version of the stan- dard tensorization property which holds in the independent case.
Menz, Georg +5 more
core +1 more source
Approximate entropy: a promising tool to understand the hidden electrical activity of fruit. [PDF]
Reissig GN +6 more
europepmc +1 more source
The role of miR‐335‐5p in the redifferentiation of BRAF p.V600E thyroid cancers
The BRAF p.V600E mutation promotes thyroid cancer dedifferentiation and radioiodine resistance. Using a network approach, we identified miR‐335‐5p as a key regulator of BRAF‐mutated thyroid tumors. Restoring miR‐335‐5p increased thyroid‐specific gene expression and iodine uptake in cells and organoids.
Valeria Pecce +11 more
wiley +1 more source
Review of Recent (2015–2024) Popular Entropy Definitions Applied to Physiological Signals
Entropy estimation is widely used in time series analysis, particularly in the field of Biomedical Engineering. It plays a key role in analyzing a wide range of physiological signals and serves as a measure of signal complexity, which reflects the ...
Dimitrios Platakis, George Manis
doaj +1 more source
Measuring Dynamical Uncertainty With Revealed Dynamics Markov Models
Concepts and measures of time series uncertainty and complexity have been applied across domains for behavior classification, risk assessments, and event detection/prediction.
Aaron Bramson +5 more
doaj +1 more source
In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera +11 more
wiley +1 more source
Analysis of complexity in the EEG activity of Parkinson's disease patients by means of approximate entropy. [PDF]
Pappalettera C +4 more
europepmc +1 more source

