Results 111 to 120 of about 2,675,626 (288)
, 2012 Appears in Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI2008)
Yu, Haohai, van Engelen, Robert A.
openaire +2 more sources
Structural biology of ferritin nanocages
FEBS Letters, EarlyView.Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley +1 more source
Robust Arm and Hand Tracking by Unsupervised Context Learning
Sensors, 2014 Hand tracking in video is an increasingly popular research field due to the rise of novel human-computer interaction methods. However, robust and real-time hand tracking in unconstrained environments remains a challenging task due to the high number of ...
Vincent Spruyt +2 more
doaj +1 more source
Importance sampling-accelerated simulation of full-spectrum backscattered diffuse reflectance. [PDF]
Biomed Opt Express, 2023 Mao J, Ling Y, Xue P, Su Y.
europepmc +1 more source
Improving MCMC Using Efficient Importance Sampling [PDF]
This paper develops a systematic Markov Chain Monte Carlo (MCMC) framework based upon Efficient Importance Sampling (EIS) which can be used for the analysis of a wide range of econometric models involving integrals without an analytical solution.
Liesenfeld, Roman +1 more
core
FEBS Letters, EarlyView.We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley +1 more source
MathematicsThe application of machine learning and artificial intelligence to solve scientific challenges has significantly increased in recent years. A remarkable development is the use of Physics-Informed Neural Networks (PINNs) to solve Partial Differential ...
Hui Li +4 more
doaj +1 more source
Metamodel-based importance sampling for structural reliability analysis
, 2011 Structural reliability methods aim at computing the probability of failure of systems with respect to some prescribed performance functions. In modern engineering such functions usually resort to running an expensive-to-evaluate computational model (e.g.
Deheeger, F., Dubourg, V., Sudret, B.
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FEBS Letters, EarlyView.In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai +9 more
wiley +1 more source
Robust Multiple Importance Sampling with Tsallis φ-Divergences. [PDF]
Entropy (Basel), 2022 Sbert M, Szirmay-Kalos L.
europepmc +1 more source