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Repositório IC-Online

Institution's Scientific Repository

 

IC-Online, the Institutional Repository of Scientific Information of the Polytechnic of Leiria (IPLeiria), is part of the RCAAP Project (Open Access Scientific Repositories of Portugal). Its main objectives are to organise, preserve and disseminate the scientific production of the Polytechnic of Leiria (IPLeiria), helping to increase the visibility and impact of the institution's scientific publications.

The IC-Online Repository includes various types of digital documents, such as articles from national and international scientific journals, papers from congresses and conferences, master's dissertations and doctoral theses, among others.

Recent Submissions

Physical activity and affect of the elderly: Contribution to the validation of the Positive and Negative Affect Shedule (PANAS) in the Portuguese population
Publication . Antunes, Raul; Couto, Nuno; Vitorino, Anabela; Monteiro, Diogo; Marinho, Daniel A.; Cid, Luís
The concept of affect corresponds to the emotional dimension of subjective well-being (Diener, Emmons, Larsen, & Griffin, 1985). It is represented by two dimensions (negative affect and positive affect), which were the basis of the development of the Positive and Negative Affect Schedule - PANAS (Watson, Clark, & Tellegen, 1988). It was translated and validated for the Portuguese population by Galinha and Pais-Ribeiro (2005b). Nevertheless, because the Portuguese version was not validated in a sample of Portuguese elderly, the goals of this study consisted in the translation of the scale (PANAS) from the original version of 20 items and the validation of its measurement model (including a shortened version) for a sample of Portuguese elderly (n = 311), aged 60 years or older (M = 68.53; DP = 6.69); it was then tested by a confirmatory factorial analysis. The results demonstrated that the measurement model (two factors and 10 items) of the shortened Portuguese version of the PANAS presented acceptable psychometric qualities, which adjusted to the data in a satisfactory way (factorial weights ranging between .57 and .70 in positive affect and between .52 and .68 in negative affect). We also concluded that older adults who practice more physical activity perceive higher levels of positive affect F(2, 297) = 3,78, p < .05; η2 = .025, and lower levels of negative affect F (2, 297) = 6.24, p < .001; η2 = .040).
Mechanical properties assessment for TPMS based scaffolds using homogenization methods
Publication . Pinheiro, J.; Castro, A. P. G.; Ruben, R. B.; Guedes, J. M.; Fernandes, P. R.
The combination of computational methods with recent 3D printing technologies allows for the control of scaffolds microstructure, in order to obtain application-driven mechanical properties. Lately, geometries obtained using triply periodic minimal surfaces (TPMS) have been used to design porosity-controlled scaffolds for bone tissue engineering. The objective for this work is to assess the properties of TPMS scaffolds obtained using Schwartz P, Schwartz D and Gyroid, with different porosity levels. These properties are computed by an asymptotic homogenization method to obtain the effective permeability and stiffness. Results show that the obtained properties compare well with the properties of bone scaffolds presented in literature and obtained using different means.
Fraud Prediction in Smart Supply Chains Using Machine Learning Techniques
Publication . Constante-Nicolalde, Fabián-Vinicio; Guerra-Terán, Paulo; Pérez-Medina, Jorge-Luis
In the domain of Big Data, the company’s supply chain has a very high-risk exposure and this must be observed from a preventive perspective, that is, act before such situations occur. As a company grows and diversifies the number of suppliers, customers and therefore increases its number of daily transactions and associated risks. Despite the innovation and improvements that have been incorporated into financial management, credit and debit cards are the main means of exchanging cash online, with the expansion of e-commerce, online shopping has also increased number of extortion cases that have been identified and that continues to expand greatly. It takes a lot of time, effort and investment to restore the impact of these damages. In this paper, we work with machine learning techniques, used in predicting smart supply chain fraud, are valuable for estimating, classifying whether a transaction is normal or fraudulent, and mitigating future dangers.
O conceito de “autoridade judiciária de emissão” a partir dos Processos apensos C-508/18 e C-82/19 PPU (Caso Parquet de Lübeck) e eventuais ecos na Decisão Europeia de Investigação em Portugal
Publication . Guimarães, Ana Paula; Castilhos, Daniela Serra; Barata, Mário Simões
Na interpretação dada pelo Tribunal de Justiça da União Europeia, no caso Parquet de Lübeck, que versa sobre matéria do mandado de detenção europeu, do conceito de “autoridade judiciária de emissão” ficam excluídas as Procuradorias por força de estas poderem ser permeáveis a influência direta ou indireta do poder executivo. Por sua vez, o Ministério Público é “autoridade de emissão” em sede de decisões europeias de investigação em matéria penal, nos termos do artigo 3.º, alínea c), da Lei n.º 88/2017, de 21 de agosto, que transpôs a Diretiva 2014/41/UE, do Parlamento Europeu e do Conselho, de 3 de abril de 2014. Tendo em consideração a autonomia e hierarquia do Ministério Público e o modo de nomeação e exoneração do Procurador-Geral da República, procuramos ver se o decidido no Acórdão supra referido teria alguma repercussão ao nível da competência do Ministério Público para emissão de uma decisão europeia de investigação. Concluímos em sentido negativo. O Ministério Público não depende do Ministro da Justiça, tem consagração constitucional e atribuições definidas na lei e respetivo estatuto e só pode emitir uma decisão europeia de investigação restrita aos atos processuais que são da sua competência nos termos da lei interna.
Analysing Emotions During Interrogations: A Case Study
Publication . Garcia, José António da Silva Pinto; Miragaia, Rolando Lúcio Germano; Grilo, Carlos Fernando de Almeida; Domingues, Patrício Rodrigues
In a context of rapid technological advancement and increasing integration of Artificial Intelligence (AI) across various fields, this work explores the application of AI in the domain of criminal investigation, specifically within the context of interrogations. The research presents a dual and complementary nature: the development of a software application for the Portuguese Military Judiciary Police (PJM) and a scientific contribution in the field of multimodal emotion analysis. The first component focused on the design and implementation of the INTU-AI (Intuition Artificial Intelligence) program, a tool aimed at supporting Military Judicial Police (PJM, from Portuguese Polícia Judiciária Militar) investigators by digitizing and automating administrative procedures related to interrogations. INTU-AI integrates models for Facial Emotion Recognition (FER), Speech Emotion Recognition (SER), and Text-Based Emotion Analysis, functioning as a complete end-to-end solution. The second component represents a scientific contribution in the form of a proof-of-concept study for dynamic multimodal emotion analysis. Due to the lack of publicly available datasets of criminal interrogations, the MELD (Multimodal EmotionLines Dataset) was employed as the experimental basis, given its resemblance to real-life interaction contexts. This part of the work, structured according to the CRISP-DM methodology, explored three hypotheses regarding the relative importance of each modality in emotional evaluation.