Results 61 to 70 of about 1,335 (170)
Environmental and human factors shape the trophic ecology of a widespread marine predator
Journal of Animal Ecology, Volume 94, Issue 9, Page 1784-1799, September 2025.Our study reveals how environmental factors and fishing pressure influence swordfish diet, highlighting trophic shifts under future climate scenarios. We provide a novel framework to strengthen our ability to plan for and manage the redistribution of species under global change ensuring that the energetic needs of predators are met.
Elena Fernández‐Corredor +7 more
wiley +1 more source
Methods in Ecology and Evolution, Volume 16, Issue 6, Page 1136-1148, June 2025.Abstract One of the main limitations of phylogenetic comparative analyses is that associations between traits can only be interpreted as correlations. Here, we present a novel Bayesian structural equation model (PhyBaSE) which allows us to disentangle direct from indirect relationships among variables to propose potential causal hypotheses while ...
Achaz von Hardenberg +1 more
wiley +1 more source
TECNOLOGIAS E FERRAMENTAS DE GERAÇÃO DE CONHECIMENTO PARA SUPORTE À DECISÃO NO ACESSO E PERMANÊNCIA AS UNIVERDIDADES: APLICAÇÃO NOS DADOS DO ENEM. [PDF]
, 2010 Este artigo tem como objetivo verificar a eficácia dos Sistemas Especialistas Probabilísticos (SEP) e Redes Bayesianas para a geração de insumos de conhecimento no que se refere às iniciativas de gestão pública da educação no acesso e permanência às ...
NASSAR, SILVIA MODESTO +2 more
core
Sequential testing of complementary hypotheses about population density
Methods in Ecology and Evolution, Volume 16, Issue 6, Page 1228-1238, June 2025.Abstract Making inferences about population density is paramount in ecology and pest management for decision‐makers who often seek to determine how a population compares to a pre‐established static or dynamic threshold through sampling or monitoring. Sequential data analysis is appealing for monitoring and decision making as it is more cost‐efficient ...
Diego F. Rincon +2 more
wiley +1 more source
INTELIGENCIA ARTIFICIAL PARA PREDECIR LA LEALTAD A LA UNIVERSIDAD
Journal of Management and Business Education, 2019 Debido a la pérdida de competitividad de las instituciones públicas de educación superior esta investigación analiza la identidad visual, la comunicación, el comportamiento, la cultura corporativa y la imagen como predictores de la lealtad en una ...
Gabriel Cachón Rodríguez +3 more
doaj +1 more source
Anales de Psicologia, 2015 El objetivo de este estudio es analizar las relaciones entre la autodeterminación, la disposición de orientación a metas, y el clima motivacional percibido por jóvenes deportistas, así como su impacto sobre los componentes somáticos y cognitivo de la ...
Alexandre Garcia-Mas +5 more
doaj +1 more source
Cognitive ecology of surprise in predator–prey interactions
Functional Ecology, Volume 39, Issue 3, Page 664-680, March 2025.Read the free Plain Language Summary for this article on the Journal blog. Abstract In this review, we relate theoretical work on the importance of surprise in cognition to empirical research relevant to surprise in predator–prey interactions. There have been multiple proposals as to how surprise should be defined and quantified in the context of ...
Olivier Penacchio +6 more
wiley +1 more source
Redes bayesianas informadas por la física aplicadas a sistemas estructurales. [PDF]
, 2023 El reciente peso dado en la inteligencia artificial a las redes neuronales bayesianas se explica por su gran aportación a la hora de capturar la incertidumbre de las predicciones.
Moya García, Beatriz +2 more
core
A spatially explicit assessment of factors shaping attitudes toward African elephant conservation
Conservation Biology, Volume 39, Issue 1, February 2025.Abstract Conservation plans that explicitly account for the social landscape where people and wildlife co‐occur can yield more effective and equitable conservation practices and outcomes. Yet, social data remain underutilized, often because social data are treated as aspatial or are analyzed with approaches that do not quantify uncertainty or address ...
Sarah L. Carroll +9 more
wiley +1 more source
Redes bayesianas para predecir el estilo de aprendizaje de estudiantes en entornos virtuales
AtoZ: Novas Práticas em Informação e Conhecimento, 2015 Introduction: It describes the use of Bayesian Networks to implement a model of uncertainty to predict the learning style of students through their interaction in a virtual learning environment based on the Felder-Silverman model.
Lissette Geoconda López-Faican +1 more
doaj +1 more source