Sapientia
Repositório Científico da UAlg
Entradas recentes
Innovative behavior of family farmers in Brazil in the face of innovations in the agricultural sector
Publication . Lopes, Luis Felipe Dias; Balconi, Silvana Bortoluzzi; Flores, Raquel Dalvit; Moreira, Martiele Gonçalves; Silva, Deoclécio Junior Cardoso da; Oliveira, Rayssa Cleide de; Pegoraro, Daniela; Moura, Gilnei Luiz de; Baggio, Daniel Knebel; Fabricio, Adriane; Vieira dos Santos, Joana
Innovation in family farming plays a critical role in regional economic and social development by introducing new products, technologies, processes, and attitudes. This article aims to evaluate the innovative behaviors of family farmers in southern Brazil concerning agricultural sector innovations. We conducted a quantitative survey of 442 family farmers, employing partial least squares structural equation modeling and multi-group analysis as our analytic methods. Our results reveal both direct and indirect relationships among the dimensions of the innovative behavior scale, tailored to family farming, and the moderating role of organic production on the model. Comparative analysis showed no significant difference in the intensity of the dimensions between organic producers and non-producers. This study offers valuable insights into innovative behavior in family farming, which could inform strategic planning and more effectively direct public policies to support family farmers, ultimately leading to technological advancement and innovation within the sector.
Recovering composition algebras from 3D geometric algebras
Publication . Corradetti, Daniele
Generalized Hurwitz theorem states that there are fifteen composition algebras: seven unital, six para-unital, and two non-unital algebras. In this article we explore the recovery of such algebras from 3D Geometric Algebras. Different involutions, such as reversion, inversion, Clifford conjugation, and full grade inversion, are introduced in order to recover the norm of all composition algebras. A special attention is given to composition algebras of dimension 8, i. e. octonions, paraoctonions and Okubo algebra, for which the introduction of a different product is needed.
The early and middle jurassic palynostratigraphy of the lusitanian basin (Portugal) in a proto-atlantic context
Publication . Correia, V.; Pereira, Z.; Riding, J.B.; Duarte, L.V.; Henriques, M.H.; Fernandes, Paulo
Palynomorphs, especially dinoflagellate cysts, are important biostratigraphical and palaeoenvironmental tools and their study can be applied to the Lusitanian Basin of Portugal. A palynostratigraphical high-resolution survey was undertaken in eight Lower and Middle Jurassic (upper Sinemurian to lowermost Bathonian) sections from the Lusitanian
Basin. We present the resulting biostratigraphical scheme comprising the most significant palynomorph bioevents for this interval.
Wind turbines drive train fault detection: random forests vs CNNs
Publication . Daniel, Helder; Baltazar, Sérgio; Li, Chuan; LUÍS VALENTE DE OLIVEIRA, JOSÉ
The production of wind-powered energy is harvested by huge wind turbines installed in locations where winds are strong but difficult to access. Detecting minor severity faults allows for the scheduling of defective component replacement during planned maintenance dates, before the fault severity increases. This significantly reduces maintenance costs.
A key component of wind turbines is the drivetrain, which transfers mechanical energy from the rotating blades to an electric energy generator.
This gearbox system is quite exposed to faults, such as damaged gears and broken or worn teeth.
This paper presents and discuss the identification and classification of gearbox faults using vibration and acoustic emission signals. It is shown that Random Forests (RFs) classifiers can be trained to achieve 100% accuracy rate, by performing previously classical feature extraction[8] on the raw signals, while Convolutional Neural Networks (CNNs) classifiers
also achieve 100% accuracy rates, directly on raw signals and with a shorter duration than required by RF classifiers.
A eficácia do programa famílias UP na promoção do apoio social dos pais
Publication . Cruz, Mariana Filipa Henriques da; Nunes, Cristina
The primary aim of this study was to evaluate the effectiveness of the Famílias UP program in promoting social support among parents of children aged 0 to 6 years, in contexts of psychosocial risk. It also sought to describe the psychosocial profile and mental health of the participating families. The research followed a quasi-experimental design, with assessments at two time points (pre- and post-intervention), involving a sample of 102 parents. The Duke-UNC Functional Social Support Questionnaire and the General Health Questionnaire (GHQ-28) were used. The results revealed statistically significant improvements in the dimensions of informational and emotional social support, with a small effect size. However, no relevant changes were observed in instrumental support or in the number of individuals within the support network, suggesting that such structural changes may require longer or differently designed interventions. A low level of social support was also associated with greater psychological distress, reinforcing the importance of support networks for caregivers’ emotional well-being. The findings highlight the potential of the Famílias UP program in promoting social support, emphasizing the need to integrate additional strategies for instrumental support and mixed-method evaluation approaches. This study contributes to the scientific understanding of parenting in vulnerable contexts and offers insights for the improvement of family support programs.