Results 101 to 110 of about 8,734 (183)
Statistical modelling approaches which produce fine spatial resolution population estimates have been developed to fill data gaps in resource-poor countries where census data are either outdated or incomplete. These population modelling methods often draw upon recent georeferenced sample population enumeration datasets to predict population density and
Chibuzor Christopher Nnanatu +6 more
openaire +1 more source
Exposure to air pollution in the form of fine particulate matter (PM2.5) is known to cause diseases and cancers. Consequently, the public are increasingly seeking health warnings associated with levels of PM2.5 using mobile phone applications and ...
G Shaddick (21866612) +5 more
core
Bacterial entry into hEcad-expressing human epithelial cells (LoVo) (A for Lm and B for Li) and mEcad-expressing mouse epithelial cells (Nme) (C for Lm and D for Li) was performed by counting intracellular gentamicin resistant bacteria following 1 hr of ...
Olivier Disson (7017) +3 more
core +1 more source
InlAm mediates mouse Ncad-dependent internalization.
(A) Mouse CT26 cells were transfected with scrambled siRNAs or mNcad-specific siRNAs. Bacteria internalization was evaluated by counting intracellular gentamicin resistant bacteria. Values are expressed as a mean + SD (n = 3).
Olivier Disson (7017) +3 more
core +1 more source
Spatio-temporal models Valley fever incidence using INLA and stochastic PDE\u27s
honors thesisCollege of SciencePhysics & AstronomyKatharine WalterValley fever, caused by the Coccidioides fungus is a disease of increasing concern in the American West.
Sussman, Jacob
core
Stochastic partial differential equations (SPDE) must be approximated in space and time to allow for the simulation of their solutions. In this thesis fully discrete approximations of such equations are considered, with an emphasis on finite element ...
Petersson, Andreas,
core
Spatial data fusion adjusting for preferential sampling using INLA and SPDE
Spatially misaligned data can be fused by using a Bayesian melding model that assumes that underlying all observations there is a spatially continuous Gaussian random field process.
Moraga, Paula +2 more
core
Migration-adjusted lung cancer burden in China: a population data-based Bayesian spatial modeling approach. [PDF]
Hao S +7 more
europepmc +1 more source
Generating geochemical and mineralogy distributions of soil in the conterminous United States using Bayesian hierarchical spatial models. [PDF]
Bondo KJ, Wolf TM, Walter WD.
europepmc +1 more source
Nondestructive individual tree aboveground biomass estimation using a hierarchical Bayesian approach in combination with individual tree competition indices. [PDF]
Zhang Z +5 more
europepmc +1 more source

