Results 31 to 40 of about 198,078 (301)

Effects of altered salt intake and diet on cytokines in humans: A 20‐week randomized cross‐over intervention study

open access: yesEuropean Journal of Immunology, Volume 53, Issue 1, January 2023., 2023
The effect of habitual Western diet and salt‐reduced diet on the levels of systemic blood cytokines was analyzed in a placebo‐controlled nutritional intervention study. The results showed that reduced salt intake did not alter the concentrations of any of the analyzed 34 cytokines in blood.
Teemu Niiranen   +4 more
wiley   +1 more source

Evolutionary Markov Chain Monte Carlo [PDF]

open access: yes, 2004
Markov chain Monte Carlo (MCMC) is a popular class of algorithms to sample from a complex distribution. A key issue in the design of MCMC algorithms is to improve the proposal mechanism and the mixing behaviour. This has led some authors to propose the use of a population of MCMC chains, while others go even further by integrating techniques from ...
Dirk Thierens, Madalina M. Drugan
openaire   +3 more sources

A response to Yu et al. "A forward-backward fragment assembling algorithm for the identification of genomic amplification and deletion breakpoints using high-density single nucleotide polymorphism (SNP) array", BMC Bioinformatics 2007, 8: 145

open access: yesBMC Bioinformatics, 2007
Background Yu et al. (BMC Bioinformatics 2007,8: 145+) have recently compared the performance of several methods for the detection of genomic amplification and deletion breakpoints using data from high-density single nucleotide polymorphism arrays.
Diaz-Uriarte Ramon, Rueda Oscar M
doaj   +1 more source

Stereographic Markov chain Monte Carlo [PDF]

open access: yesThe Annals of Statistics
80 pages, 20 ...
Yang, Jun   +2 more
openaire   +2 more sources

Mission‐centric decision support in cybersecurity via Bayesian Privilege Attack Graph

open access: yesEngineering Reports, Volume 4, Issue 12, December 2022., 2022
We propose a mission‐centric approach to assessing the risks of cyber attacks on the organization's mission and provide decision support to network security administrators. Our approach uses a unique stochastic model that connects vulnerability impacts to the mission's security requirements and allows selecting the most resilient configuration of ...
Michal Javorník, Martin Husák
wiley   +1 more source

Mechanistic spatial models for heavy metal pollution

open access: yesEnvironmetrics, Volume 33, Issue 8, December 2022., 2022
Abstract Mining operations can contribute substantial amounts of pollution in the form of atmospheric dust. Statistical models predicting the spread of pollutants from these sources are useful for evaluating the environmental impacts of mines. Our study develops a mechanistic spatial model for heavy metal concentrations in Cape Krusenstern National ...
Wilson J. Wright   +3 more
wiley   +1 more source

Block-Wisely Supervised Network Pruning with Knowledge Distillation and Markov Chain Monte Carlo

open access: yesApplied Sciences, 2022
Structural network pruning is an effective way to reduce network size for deploying deep networks to resource-constrained devices. Existing methods mainly employ knowledge distillation from the last layer of network to guide pruning of the whole network,
Huidong Liu   +3 more
doaj   +1 more source

Linking uplift, erosion, and sedimentation using landscape evolution models: Madagascar since the Late Cretaceous

open access: yesEarth Surface Processes and Landforms, Volume 48, Issue 1, Page 215-229, January 2023., 2023
This paper uses a numerical landscape evolution model to reconstruct the topographic history of Madagascar since the Late Cretaceous. The model is optimised by balancing the volumes of onshore erosion and offshore sedimentation; the former is predicted with erosion laws and based on uplift history inferred from elevated planation surfaces.
Ruohong Jiao   +4 more
wiley   +1 more source

HYDRA: a Java library for Markov Chain Monte Carlo

open access: yesJournal of Statistical Software, 2002
Hydra is an open-source, platform-neutral library for performing Markov Chain Monte Carlo. It implements the logic of standard MCMC samplers within a framework designed to be easy to use, extend, and integrate with other software tools. In this paper, we
Gregory R. Warnes
doaj   +3 more sources

Explicit error bounds for lazy reversible Markov Chain Monte Carlo [PDF]

open access: yesD. Rudolf, Explicit error bounds for lazy reversible Markov chain Monte Carlo, J. Complexity, 25(1):11--24, 2009, 2008
We prove explicit, i.e., non-asymptotic, error bounds for Markov Chain Monte Carlo methods, such as the Metropolis algorithm. The problem is to compute the expectation (or integral) of f with respect to a measure which can be given by a density with respect to another measure.
arxiv   +1 more source

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