Determination of the detection efficiency of in thiroid using Monte Carlo method
Nucleus, 2016 Monte Carlo Method was the base to estimate the detection efficiency of of the identiFINDER ultra detector in “thyroid” geometry. The suitability of the calibration methodology is discussed using a comparison of the results of the Direct Monte Carlo ...
Dayana Ramos Machado +3 more
doaj
On the containment condition for adaptive Markov Chain Monte Carlo algorithms [PDF]
, 2009 This paper considers ergodicity properties of certain adaptive Markov chain Monte Carlo (MCMC) algorithms for multidimensional target distributions, in particular Adaptive Metropolis and Adaptive Metropolis-within-Gibbs.
Rosenthal, Jeffrey S. (Jeffrey Seth) +2 more
core
Investigations of Water Transport in Shale Reservoir with Dual-Wettability by Using Monte Carlo Method. [PDF]
ACS Omega, 2023 Liang T, Fan W, Yu B, Yang C, Qu M.
europepmc +1 more source
AI‐Designed Cyclic Peptides Enable Controllable Modulation of the CD28 Immune Checkpoint
Advanced Science, EarlyView.AI‐designed cyclic peptides enable controllable modulation of the CD28 immune checkpoint through reversible disruption of CD28‐CD80/CD86 interactions. The lead peptide, CIP‐3, suppresses T‐cell activation without intrinsic agonist activity, demonstrates dose‐dependent efficacy in a murine colitis model, and attenuates inflammatory cytokine production ...
Katarzyna Kuncewicz +4 more
wiley +1 more source
Bayesian Adaptive Hamiltonian Monte Carlo with an Application to High-Dimensional BEKK GARCH Models [PDF]
Hamiltonian Monte Carlo (HMC) is a recent statistical procedure to sample from complex distributions. Distant proposal draws are taken in a equence of steps following the Hamiltonian dynamics of the underlying parameter space, often yielding superior ...
John Maheu, Martin Burda
core +2 more sources
Adaptive radial-based direction sampling; Some flexible and robust Monte Carlo integration methods
Adaptive radial-based direction sampling (ARDS) algorithms are specified for Bayesian analysis of models with nonelliptical, possibly, multimodal target distributions.A key step is a radial-based transformation to directions and distances.
Dijk, H.K. van +3 more
core
On optimality of kernels for approximate Bayesian computation using sequential Monte Carlo
, 2011 Approximate Bayesian computation (ABC) has gained popularity over the past few years for the analysis of complex models arising in population genetics, epidemiology and system biology.
Barnes, C +7 more
core
A Monte Carlo Method for Calculating Lynden-Bell Equilibrium in Self-Gravitating Systems. [PDF]
Entropy (Basel), 2023 Teles TN, Farias CAF, Pakter R, Levin Y.
europepmc +1 more source
Advanced Science, EarlyView.This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu +6 more
wiley +1 more source
The Application of Monte Carlo Method for Sensitivity Analysis of Compressor Components
, 2012 The robustness evaluation of compressor components must take into account the variations in the mechanical properties of the material (such as Young\u27s modulus and mass density), geometric parameters (as radius, thickness, length) and loads. Sometimes,
Silva, Julio César +1 more
core