Results 101 to 110 of about 339,262 (287)

Analysis of Treacher Collins syndrome 4‐associated mutations in Schizosaccharomyces pombe

FEBS Open Bio, EarlyView.
Fission yeast models carrying Treacher Collins syndrome type 4‐associated mutations reveal that impaired processivity of RNA polymerase I leads to defective rRNA transcription. This study highlights the essential role of a conserved arginine residue in Pol I elongation and provides mechanistic insight into the pathogenesis of ribosomopathies.
Kei Kawakami, Hiroaki Kato
wiley   +1 more source

Comparative Analysis of Time-Series Forecasting Models for eLoran Systems: Exploring the Effectiveness of Dynamic Weighting

Sensors
This paper presents an advanced time-series forecasting methodology that integrates multiple machine learning models to improve data prediction in enhanced long-range navigation (eLoran) systems. The analysis evaluates five forecasting approaches: multivariate linear regression, long short-term memory (LSTM) networks, random forest (RF), a fusion model
Jianchen Di, Miao Wu, Jun Fu, Wenkui Li, Xianzhou Jin, Jinyu Liu   +5 more
openaire   +2 more sources

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

Review of the Natural Time Analysis Method and Its Applications

Mathematics
A new concept of time, termed natural time, was introduced in 2001. This new concept reveals unique dynamic features hidden behind time-series originating from complex systems.
Panayiotis A. Varotsos, Efthimios S. Skordas, Nicholas V. Sarlis, Stavros-Richard G. Christopoulos   +3 more
doaj   +1 more source

Detecting Multiple Change Points Using Adaptive Regression Splines With Application to Neural Recordings

Frontiers in Neuroinformatics, 2018
Time series, as frequently the case in neuroscience, are rarely stationary, but often exhibit abrupt changes due to attractor transitions or bifurcations in the dynamical systems producing them.
Hazem Toutounji, Daniel Durstewitz, Daniel Durstewitz   +2 more
doaj   +1 more source

Characterizing mixed mode oscillations shaped by noise and bifurcation structure

, 2010
Many neuronal systems and models display a certain class of mixed mode oscillations (MMOs) consisting of periods of small amplitude oscillations interspersed with spikes.
Juan Luis Cabrera, Peter Borowski, Press W., Rachel Kuske, Tucker A. B., White J. A., Yue-Xian Li   +6 more
core   +1 more source

Mycobacterial cell division arrest and smooth‐to‐rough envelope transition using CRISPRi‐mediated genetic repression systems

FEBS Open Bio, EarlyView.
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point, Wafaa Achache, Janïs Laudouze, Eliana Sepulveda Ramos, Mickaël Maziero, Céline Crauste, Stéphane Canaan, Pierre Santucci   +7 more
wiley   +1 more source

Dynamical behaviour and solutions in the fractional Gross–Pitaevskii model

Mathematical and Computer Modelling of Dynamical Systems
The Gross–Pitaevskii equation is widely known for its applications in fields such as Bose–Einstein condensates and optical fibres. This study investigates the dynamical behaviour of various wave solutions to the M-fractional nonlinear Gross–Pitaevskii ...
Beenish, Muhammad Asim, Salah Boulaaras, Mati Ur Rahman   +3 more
doaj   +1 more source

Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications

FEBS Open Bio, EarlyView.
This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley   +1 more source

A Geometric Renormalisation Group in Discrete Quantum Space-Time

, 2002
We model quantum space-time on the Planck scale as dynamical networks of elementary relations or time dependent random graphs, the time dependence being an effect of the underlying dynamical network laws.
Requardt, Manfred
core   +3 more sources