Results 91 to 100 of about 5,732 (193)
Anthropogenic disturbance modifies spatial patterns of reef sharks
Journal of Applied Ecology, Volume 63, Issue 4, April 2026.Species‐specific sensitivities mean that non‐extractive human presence can strongly reshape reef predator distributions even where fishing pressure is limited. Integrating tourism intensity and coastal development into marine spatial planning is therefore essential for reef shark conservation, and combining ecological surveys with open‐source social ...
Twan Stoffers +13 more
wiley +1 more source
Evolutionary Applications, Volume 19, Issue 4, April 2026.ABSTRACT As larger genomic data sets become available for wild study populations, the need for flexible and efficient methods to estimate and predict quantitative genetic parameters, such as the adaptive potential and measures for genetic change, increases.
Janne C. H. Aspheim +4 more
wiley +1 more source
A new perspective on Listeria monocytogenes evolution.
PLoS Pathogens, 2008 Listeria monocytogenes is a model organism for cellular microbiology and host-pathogen interaction studies and an important food-borne pathogen widespread in the environment, thus representing an attractive model to study the evolution of virulence.
Marie Ragon +6 more
doaj +1 more source
Coarse‐to‐Fine Spatial Modeling: A Scalable, Machine‐Learning‐Compatible Framework
Geographical Analysis, Volume 58, Issue 2, April 2026.ABSTRACT This study proposes coarse‐to‐fine spatial modeling (CFSM) as a scalable and machine learning‐compatible alternative to conventional spatial process models. Unlike conventional covariance‐based spatial models, CFSM represents spatial processes using a multiscale ensemble of local models.
Daisuke Murakami +5 more
wiley +1 more source
Basic and Clinical Neuroscience, 2021 Introduction: One of the vital skills which has an impact on emotional health and well-being is the regulation of emotions. In recent years, the neural basis of this process has been considered widely.
Parisa Naseri +5 more
doaj
A New Bayesian Inference Methodology for Modeling Geochemical Elements in Soil with Covariates. Characterization of Lithium in South Iberian Range (Spain) [PDF]
, 2016 When the scientific need to model geochemical elements in soil, is using geostatistical methodologies, for instance krigings, but we can use a new possibility with Bayesian Inference.
Díaz Ávalos, Carlos +3 more
core +1 more source
Desempeño predictivo de R-INLA SPDE para el Mapeo Digital de Suelos
, 2021 El mapeo digital de suelos (MDS) permite describir la variabilidad espacial de una propiedad edáfica a treves de modelos de predicción espacial que explican la relación que existe entre la variable de interés y covariables sitio-especificas. Entre los modelos estadísticos más incipientes en aplicaciones de MDS está la regresión bayesiana ajustada con ...
Giannini Kurina, Franca +4 more
openaire +1 more source
Stomach cancer incidence in Southern Portugal 1998-2006:a spatio-temporal analysis [PDF]
, 2012 Understanding geographical differences in health, particularly in small areas, became a major concern of epidemiologists. Geographical association studies and, more recently, several spatial disease mapping studies have emerged due to the development of
Amaral Turkman, Antónia +5 more
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PLoS ONE, 2019 Visceral Leishmaniasis is a very dangerous form of leishmaniasis and, shorn of appropriate diagnosis and handling, it leads to death and physical disability.
Anteneh Asmare Godana +2 more
doaj +1 more source
Hierarchical Bayes models have been used in disease mapping to examine small scale geographic variation. State level geographic variation for less common causes of mortality outcomes have been reported however county level variation is rarely examined ...
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