COMPARISON OF US-EU FOOD ALERT MANAGEMENT: ANALYSIS OF TWO ALERTS Ona Jiménez Plans / June 2021

On the basis of these observations, we selected in field conditions some others 'coloured' mutants among different banana subgroups; cv MAl3_Green (Musa AAA, Cavendish subgroup),

We test anomaly detection framework and its the instance–based methods on the problem of identifica- tion of anomalous patient–management decisions for two real–world

Bumble bees (Bombini), stingless bees (Meliponini) and honey bees (Apini), the three major groups of eusocial bees, have very different systems of organizing colony foraging

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

Keywords: complex and dynamic situations; medical decision-making; epidemiological alert management; decision support system; team

characteristics of processed food consumption and identifying relevant issues that affect and determine their quality at different stages of the process, from previous treatments

 Using new techniques like artificial intelligence on accurate data [2]. After the visualization of the data, many similarities are found between the two messes,

This article describes the project of an agent-based tsunami alert system currently under development. This alert system is based on the combined use of i) the TRR trust and