Results 51 to 60 of about 3,612,179 (299)
Modelling stem cell differentiation related processes—A practical overview for biologists
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Blue noise for diffusion models
Most of the existing diffusion models use Gaussian noise for training and sampling across all time steps, which may not optimally account for the frequency contents reconstructed by the denoising network. Despite the diverse applications of correlated noise in computer graphics, its potential for improving the training process has been underexplored ...
Xingchang Huang +5 more
openaire +4 more sources
Impulse Noise Injury Model [PDF]
The new Auditory 4.0 model has been developed for the assessment of auditory outcomes, expressed as temporary threshold shift (TTS) and permanent threshold shift (PTS), from exposures to impulse noise for unprotected ears, including the prediction of TTS recovery.Auditory 4.0 is an empirical model, constructed from test data collected from chinchillas ...
Philemon, Chan, Kevin, Ho, Allen F, Ryan
openaire +2 more sources
Design and analysis strategies for robust microbiome ageing research
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
Hyperspectral target detection (HTD) methods aim to exploit the abundant hyperspectral information to distinguish the key target pixels from multifarious background pixels.
Tan Guo +5 more
doaj +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
A Scalable RFCMOS Noise Model [PDF]
This paper presents the high-frequency (HF) noise modeling of an RF MOSFET for a 90-nm technology node. A brief discussion on the noise measurement theory is presented to illustrate the limitation of the noise measurement system. The extracted noise sources were studied for their geometry and biasing dependences and by implementing additional noise ...
Yeo, Kiat Seng +4 more
openaire +3 more sources
Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source
Robot mapping and exploration tasks are crucial for many robotic applications and allow mobile robots to autonomously navigate in unknown environments. An accurate model of the environment is, therefore, essential for the robots to localize and perform ...
Ankit A. Ravankar +3 more
doaj +1 more source
Aftershocks in coherent-noise models [PDF]
23 pages, 8 figures, Latex with elsart.cls, revised version accepted for publication in Physica ...
Wilke, C., Altmeyer, S., Martinetz, T.
openaire +2 more sources

