Results 111 to 120 of about 4,618,210 (296)
Moment Priors for Bayesian Model Choice with Applications to Directed Acyclic Graphs [PDF]
We propose a new method for the objective comparison of two nested models based on non-local priors. More specifically, starting with a default prior under each of the two models, we construct a moment prior under the larger model, and then use the ...
Luca La Rocca, Guido Consonni
core
Group-Based EEG Source Mapping of the Visual Cortex Using Adaptive MSP Localization
Approximately 10–20% of the global population (~8.2 billion in 2025) is affected by neurological disorders, including migraine (~12%), Alzheimer’s/dementia (~0.7%), epilepsy (~0.6%), and Parkinson’s disease (~0.1%). Electroencephalography (EEG) serves as
Anwar Ali Gaho +5 more
doaj +1 more source
Reconstructing enzyme evolution by protein engineering
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
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
Hierarchies of conditional beliefs derived from commonly known priors [PDF]
In this paper, we consider a finite set of agents with commonly known full-support priors on the fundamental space of uncertainty. Then, we show that if the hierarchies of conditional beliefs á la Battigalli and Siniscalchi (1999) are derived from these ...
Tsakas Elias
core
A Multi-Source Circular Geodesic Voting Model for Image Segmentation
Image segmentation is a crucial task in artificial intelligence fields such as computer vision and medical imaging. While convolutional neural networks (CNNs) have achieved notable success by learning representative features from large datasets, they ...
Shuwang Zhou, Minglei Shu, Chong Di
doaj +1 more source
Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions
The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang +4 more
wiley +1 more source
Biotracers are commonly used in food‐web studies to estimate consumer diets. Increasingly, multiple biotracer types are combined to provide more nuanced pictures of consumer resource use, unravel more complex diet mixtures, and improve the discriminatory
Patrick J. Pickett +6 more
doaj +1 more source
Animals must match their growth rate to available nutrients. We show that in Drosophila larvae, the nutrient‐sensing TOR kinase controls growth by regulating levels of TFAM, a key regulator of mitochondrial function, in the adipose tissue. When nutrients are abundant, high TOR activity suppresses TFAM, lowering mitochondrial bioenergetic activity and ...
Shrivani Sriskanthadevan‐Pirahas +4 more
wiley +1 more source
Mixtures of g-priors for Bayesian Model Averaging with economic application [PDF]
This paper examines the issue of variable selection in linear regression modeling, where there is a potentially large amount of possible covariates and economic theory offers insufficient guidance on how to select the appropriate subset. In this context,
Ley, Eduardo, Steel, Mark F.J.
core

