Results 71 to 80 of about 4,559,445 (294)
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
FEBS Letters, EarlyView.Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
FuzzyEn Compared to SampEn for Evaluation of Dynamic Complexity
EntropyFuzzy entropy (FuzzyEn) theoretically outperforms sample entropy (SampEn) in quantifying dynamic complexity; however, its anti-noise robustness remains insufficiently validated.
Xingyu Liu +3 more
doaj +1 more source
On the Sampling Entropy of Permutons
Random Structures & AlgorithmsABSTRACT For a permuton let denote the Shannon entropy of the sampling distribution of on points. We investigate the asymptotic growth of for a wide class of permutons. We prove that if has a nonvanishing absolutely continuous part, then has a growth rate .
openaire +2 more sources
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Jixie chuandong, 2017 Aiming at the weak abnormal sound of the new transmission products in the specific speed range of gear,the nonlinear of the dynamic parameter sample entropy is used to extract the operating characteristics of the transmission under different gears.
Wu Chao, Sun Huer, Liang Xiaohua
doaj
Sample entropy analysis of cervical neoplasia gene-expression signatures
BMC Bioinformatics, 2009 Background We introduce Approximate Entropy as a mathematical method of analysis for microarray data. Approximate entropy is applied here as a method to classify the complex gene expression patterns resultant of a clinical sample set.
Salama Salama A +4 more
doaj +1 more source
Time-shift multiscale entropy analysis of physiological signals
, 2017 Measures of predictability in physiological signals using entropy measures have been widely applied in many areas of research. Multiscale entropy expresses different levels of either approximate entropy or sample entropy by means of multiple factors for ...
Tuan D. Pham, Pham, Tuan,, Pham, Tuan
core +1 more source
Entropy: Modern Lab Management Software
, 2022 Fixed ParamStore GUI now looks for param.db file in .entropy folder ParamStore GUI tags are now editable and correctly displayedIf you use this software in your published work, please cite it as ...
Quantum Machines
core +1 more source
Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Peripheral lysosomes recruit PLEKHG3 to focal adhesions and restrain protrusion dynamics
FEBS Letters, EarlyView.Proximity‐dependent labeling at the LAMTOR complex revealed the Rho GEF PLEKHG3 as a lysosome‐proximal protein directing the study toward the influence of lysosome positioning on actin dynamics and cell motility. We show that PLEKHG3 colocalizes with lysosomes at focal adhesion sites and observe that forced peripheral dispersion of lysosomes hinders ...
Rainer Ettelt +8 more
wiley +1 more source