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Seroprevalence of Mycobacterium avium subsp. paratuberculosis Infections in Sma...

Quintas, Helder; Benavides, Júlio; Jacob-Ferreira, João; Afonso, Paulo; Coelho, Ana Cláudia

Paratuberculosis, also known as Johne’s disease, is a granulomatous enteritis in both domestic and wild ruminants caused by the bacterium Mycobacterium avium subsp. paratuberculosis. Understanding the prevalence of this disease in small ruminants is essential for disease control and prevention strategies. A systematic review of the literature was conducted using the PubMed, ScienceDirect and Scopus databases to...

Date: 2025   |   Origin: Biblioteca Digital do IPB

Study of body composition and motor competence in children from the 1st basic c...

Afonso, P.; Rebelo, Miguel; HONÓRIO, SAMUEL; Santos, Jorge Manuel Folgado; Pais, António; Afonso, Paulo; Marques, Catarina; Diniz, Afonso; Serrano, João

Childhood obesity is a public health problem that affects many parts of the world, and is one of the factors that has negatively influenced levels of motor competence at an early age. However, these relationships remain poorly investigated. The aim of this study was to assess body composition (BC) and motor competence (MC), as well as to study their relationship with school performance in primary school childre...


Projeto RAFA - O privilégio da Avaliação Formativa e da sua articulação com a A...

Afonso, Paulo; Borralho, António; Filipe, José; Loureiro, Paula

This article aims to present the implementation in the classroom of a research project based on the theme of formative assessment in conjunction with that of summative assessment, called the RAFA project. Based on challenging teaching, learning and assessment tasks, the classroom environments studied in one of the two regions of the country where it is being implemented demonstrated the intention of the respect...


Optimization models for hydrokinetic energy generated downstream of hydropower ...

de Figueiredo, Nelio Moura; GamaTobias, Maisa Sales; Filho, Lucio Carlos Pinheiro Campos; Afonso, Paulo

The mitigation of the energy crisis necessitates the exploration of alternative sources, including hydrokinetic energy derived from downstream regions of hydroelectric facilities. In this context, harnessing the defluent flow from hydroelectric plants through hydrokinetic turbines has become increasingly vital. This study aims to develop a comprehensive model that furnishes essential parameters for the design o...


Forecasting cost risks of corn and soybean crops through Monte Carlo simulation

Amorim, Fernando Rodrigues de; Guimarães, Camila Carla; Afonso, Paulo; Tobias, Maisa Sales Gama

Featured Application: Monte Carlo Simulations can be used to forecast cost risks in agribusinesses, supporting better decision-making. Such risks should be minimized to optimize production costs, namely, materials, labor, and overhead costs, which can vary significantly and differently due to different cost behaviors. Forecasting costs using Monte Carlo simulations can provide a clear view of the expected cost ...


Multi-criteria approach for weights definition of sustainability indicators in ...

Kruger, Silvana; Trojan, Flavio; Zanin, Antonio; Lizot, Mauro; Afonso, Paulo

Goal: This study presents a four-steps methodology for the definition of the weights of sustainable indicators in the Swine Supply Chain (SSC) considering the Triple Bottom-Line (TBL) perspective. Design/Methodology/Approach: The methodology proposed was based on the Bellagio principles that guide the definition of importance levels for TBL criteria. It was applied to the swine supply chain using Saaty’s scale ...


Vehicle industry Big Data analysis using clustering approaches

Seixas, Lenon Diniz; Corrêa, Fernanda Cristina; Siqueira, Hugo Valadares; Trojan, Flavio; Afonso, Paulo

Considering a globalized world economy and industry, data analysis and visualization offer enlightening information for decision-making and strategic planning. Data science provides diverse statistical and scientific methods to extract the most value possible from a data set, covering all data preparation, cleaning, aggregation, and manipulation. Machine learning (ML) and Artificial Intelligence (AI) come with ...


Machine learning for the sustainable management of depth prediction and load op...

Campos Filho, Lúcio Carlos Pinheiro; Figueiredo, Nelio Moura de; Blanco, Cláudio José Cavalcante; Tobias, Maisa Sales Gama; Afonso, Paulo

The seasonal fluctuation of river depths is a critical factor in designing cargo capacity for river convoys and logistics processes used for grain transportation in northern Brazil. Water level variations directly impact the load capacities of pusher convoys navigating the Amazon rivers. This paper presents a machine learning model based on a multilayer perceptron artificial neural network developed with the ai...


Developing dynamic supply chain resilience capabilities: a study of Irish firms...

Ali, Abubakar; Labib, Ashraf; Afonso, Paulo; Mahfouz, Amr

Paper aims: This study is grounded in the supply chain resilience (SCRES) capabilities literature and the dynamic capabilities theory (DCT), which is used to develop a framework of dynamic SCRES capabilities for global supply chain disruptions. Originality: This study explores firms’ adapting, responding, and learning capabilities in the initial outbreak of the coronavirus pandemic 2019 (COVID-19) in the Irish ...


Bridging Complexity: Business Incubators in the Preliminary Lens of System Dyna...

Almeida, Diogo Costa; Afonso, Paulo; Soares, Ana Maria; Ferreira, L. P.

System dynamics simulation has been a field of study with applications in various areas and whose main objective is to study complex and dynamic systems and, more specifically, to determine the impact that certain configurations of controllable inputs have on the various output measures of these systems. Business incubators are organizations with the aim of promoting entrepreneurship and the success of the star...


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